diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..43cae7b588ef35f05b1d8cb7e3f2c46ab8667a8f --- /dev/null +++ b/.dockerignore @@ -0,0 +1,28 @@ +.git +.venv +**/__pycache__ +.pytest_cache +web/node_modules +web/.next +serve +sams-videos +data +.env* +*.pem +*.log + +web/test-results +web/playwright-report + +web/tests +web/playwright.config.ts +# Local credentials must stay out of every build stage, including nested web files. +**/.env* +**/*.pem +**/*.age +**/*.agekey +**/*.key +**/rclone.conf +backups +snapshots +docs diff --git a/.gitattributes b/.gitattributes index 8f6fb0f3c7c3f4fc70323695beae4ecfee5264eb..d69c2165950f68a6ef75ee288939a6f742efdf73 100644 --- a/.gitattributes +++ b/.gitattributes @@ -35,3 +35,39 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text or-logo1.png filter=lfs diff=lfs merge=lfs -text lambda.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/architecture-desktop-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/architecture-laptop-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/architecture-mobile-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/architecture-tablet-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/experiments-desktop-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/experiments-laptop-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/experiments-mobile-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/experiments-tablet-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/library-desktop-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/library-laptop-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/library-mobile-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/library-tablet-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/search-desktop-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/search-laptop-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/search-mobile-linux.png filter=lfs diff=lfs merge=lfs -text +docs/v2-evidence/main/search-tablet-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/architecture-desktop-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/architecture-laptop-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/architecture-mobile-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/architecture-tablet-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/experiments-desktop-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/experiments-laptop-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/experiments-mobile-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/experiments-tablet-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/library-desktop-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/library-laptop-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/library-mobile-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/library-tablet-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/search-desktop-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/search-laptop-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/search-mobile-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/parity.spec.ts-snapshots/search-tablet-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/studio.spec.ts-snapshots/live-desktop-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/studio.spec.ts-snapshots/live-mobile-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/studio.spec.ts-snapshots/models-desktop-linux.png filter=lfs diff=lfs merge=lfs -text +web/tests/studio.spec.ts-snapshots/models-mobile-linux.png filter=lfs diff=lfs merge=lfs -text diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..ce93c8545357d7ed9a6d241fbb6abfb68eb6ded9 --- /dev/null +++ b/.gitignore @@ -0,0 +1,29 @@ +.venv/ +serve/.venv/ +serve/logs/ +__pycache__/ +data/ +sams-videos/ +.research/ +web/node_modules/ +web/.next/ +*.log + +# OS / editor +.DS_Store +.idea/ +.vscode/ + +# secrets / local config +.env +.env.* +*.pem +web/test-results/ +web/playwright-report/ +test-results/ +*.age +*.agekey +*.key +rclone.conf +/backups/ +snapshots/ diff --git a/.hfignore b/.hfignore new file mode 100644 index 0000000000000000000000000000000000000000..f2cdc08c8772490befbd4a082255e66cdaf35526 --- /dev/null +++ b/.hfignore @@ -0,0 +1,14 @@ +.git +data +serve +sams-videos +**/.env* +**/*.pem +**/*.key +**/*.agekey +**/*.age +**/node_modules +**/.next +**/__pycache__ +web/test-results +web/playwright-report diff --git a/Agent.md b/Agent.md new file mode 100644 index 0000000000000000000000000000000000000000..8575df136672a5a1a6efb23f8ccd2bfea44ba34b --- /dev/null +++ b/Agent.md @@ -0,0 +1,99 @@ +## 1. Deployment Configuration + +### Target Space +- **Profile:** `Leon4gr45` +- **Space:** `openweb` +- **Full Identifier:** `Leon4gr45/openweb` +- **Frontend Port:** `7860` (mandatory for all Hugging Face Spaces) + +### Deployment Method +Choose the correct SDK based on the app type based on the codebase language: + +- **Gradio SDK** — for Gradio applications +- **Streamlit SDK** — for Streamlit applications +- **Docker SDK** — for all other applications (recommended default for flexibility) + +### HF Token +- The environment variable **`HF_TOKEN` will always be provided at execution time**. +- Never hardcode the token. Always read it from the environment. +- All monitoring and log‑streaming commands rely on `HF_TOKEN`. + +### Required Files +- `Dockerfile` (or `app.py` for Gradio/Streamlit SDKs) +- `README.md` with Hugging Face YAML frontmatter: + ```yaml + --- + title: + sdk: docker | gradio | streamlit + app_port: 7860 + --- + ``` +- `.hfignore` to exclude unnecessary files +- This `Agent.md` file (must be committed before deployment) + +--- + +## 2. API Exposure and Documentation + +### Mandatory Endpoints +Every deployment **must** expose: + +- **`/health`** + - Returns HTTP 200 when the app is ready. + - Required for Hugging Face to transition the Space from *starting* → *running*. + +- **`/api-docs`** + - Documents **all** available API endpoints. + - Must be reachable at: + `https://HF_PROFILE-openweb.hf.space/api-docs` + +### Functional Endpoints +Document each endpoint here. For every endpoint, include: + +- **Method:** GET/POST/PUT/DELETE +- **Path:** `/predict`, `/generate`, `/upload`, etc. +- **Purpose:** What the endpoint does +- **Request Example:** JSON or query parameters +- **Response Example:** JSON schema or example payload + +Example format: + +``` +### /predict +- Method: POST +- Purpose: Run model inference +- Request: + { + "text": "hello world" + } +- Response: + { + "prediction": "…" + } +``` + +All endpoints listed here **must** appear in `/api-docs`. + +--- + +## 3. Deployment Workflow + +Precondition: Use the huggingface hub cli hf to check that the space is empty of files nd delete any which are still in there and not belonging to the project to be uploaded + +### Standard Deployment Command +After any code change, run: + +```bash +hf upload Leon4gr45/openweb --repo-type=space +--- + +Scan build and run logs # Get build logs (SSE) curl -N +-H "Authorization: Bearer HF_TOKEN" +"https://huggingface.co/api/spaces/Leon4gr45/openweb/logs/build" + +Get run logs (SSE) once the build logs succeed +curl -N +-H "Authorization: Bearer HF_TOKEN" +"https://huggingface.co/api/spaces/Leon4gr45/openweb/logs/run" + +after 300 seconds to see if the deployment has been successful, and if not, fix the errors of deployment, and redeploy and monitor in a cycle until the space is running and reacts to the api endpoints you created. diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000000000000000000000000000000000000..ddd2a6b9f43260081e90ce5f9b943f2070ae2181 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,19 @@ +# Changes + +## Video RAG · Visual Mentor v2 (2026-10-17, development) + +- New main-based branch; original Library landing, cards, Search/Ask, charts, + Architecture and timestamped clip workflows preserved. Four-size baseline and + current screenshot tests, immutable synthetic sample corpus and playable media. +- Selective remote backend/security migration; protected private library/media, + user/admin roles, strict disabled-by-default YAML profiles and placeholder rejection. +- Persistent bounded upload/CPU-FFmpeg queue, explicit missing-provider stages, + remote transcription and model-isolated atomic text-index revisions. +- Native Live dual-camera workspace, consent/voice/stale guards, local snapshots, + freeze/fullscreen, timeline inspection and isolated session route overrides. +- Models provider cards, route builder/matrix, YAML draft diff/import/export, + validation gating, CAS apply/rollback and synthetic execution trace. +- Real age encryption, consistent SQLite snapshots, independent media checksums, + isolated restore, conservative retention and approval-gated private workflow templates. +- Private HF Docker package on one port; no inference infrastructure modifications. + Production deployment, durability and backup activation remain unqualified gates. diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..5641012a3ab6b0a731d392bdf6046c402cba7e61 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,34 @@ +FROM node:24-bookworm-slim@sha256:a5f4366e834695d5f363b920c104953a535d3a9864d1bdf74566a0ebe01daee5 AS web +WORKDIR /build/web +ENV NEXT_TELEMETRY_DISABLED=1 +COPY web/package*.json ./ +RUN --mount=type=secret,id=build_ca if [ -f /run/secrets/build_ca ]; then export NODE_EXTRA_CA_CERTS=/run/secrets/build_ca; fi; npm ci --no-audit --no-fund +COPY web/ ./ +RUN npm run build + +# Assemble application assets without repeatedly copying the FFmpeg runtime layer. +FROM scratch AS bundle +COPY vrag /app/vrag +COPY config /app/config +COPY scripts/cloud-start.py /app/scripts/cloud-start.py +COPY --from=web /build/web/.next/standalone /app/web/.next/standalone +COPY --from=web /build/web/.next/static /app/web/.next/standalone/.next/static +COPY --from=web /build/web/public /app/web/.next/standalone/public + +FROM python:3.12-slim-bookworm@sha256:34386ef0cb081344d7ec1c103ba398e6e9f64e9ab3a1509accc92a4e24a07258 AS runtime +WORKDIR /app +COPY requirements-runtime.txt ./ +RUN --mount=type=secret,id=build_ca \ + export http_proxy="$HTTP_PROXY" https_proxy="$HTTPS_PROXY"; \ + if [ -f /run/secrets/build_ca ]; then export PIP_CERT=/run/secrets/build_ca; fi; \ + apt-get update && apt-get install -y --no-install-recommends ca-certificates libatomic1 ffmpeg age && \ + pip install --no-cache-dir -r requirements-runtime.txt && \ + rm -rf /var/lib/apt/lists/* && \ + useradd -m -u 1000 mentor && mkdir -p /app/data/videos /app/work && chown -R mentor:mentor /app/data /app/work +COPY --from=web /usr/local/bin/node /usr/local/bin/node +COPY --from=bundle --chown=1000:1000 /app /app +USER mentor +ENV PYTHONUNBUFFERED=1 NEXT_TELEMETRY_DISABLED=1 VRAG_DATA=/app/work/data VM_STATE_DIR=/app/work/state +EXPOSE 7860 +HEALTHCHECK --interval=30s --timeout=5s --start-period=30s CMD python -c "import urllib.request; urllib.request.urlopen('http://127.0.0.1:7860/api/health', timeout=4)" +CMD ["python", "scripts/cloud-start.py"] diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..92b367f06743bb9eaee7598139c623a189bdffc8 --- /dev/null +++ b/README.md @@ -0,0 +1,62 @@ +--- +title: Video RAG · Visual Mentor +sdk: docker +app_port: 7860 +--- + +# Video RAG · Visual Mentor v2 + +The original Library, Search, Ask, Experiments, Architecture and clip-player UI, +with remote inference, a dual-camera Live workspace and Models & Routing studio. +The landing page is Library. Without a connected private-library token it shows +an immutable synthetic sample corpus, keyword retrieval and labeled evidence +extracts. No model inference or benchmark quality is implied by samples. + +Run a CPU-only development environment (Python 3.12+, Node 24+, FFmpeg): + +``` +python -m venv .venv +.venv/bin/pip install -r requirements-runtime.txt +npm --prefix web ci +PYTHON=.venv/bin/python bash scripts/dev.sh +``` + +Open port 7860. FastAPI stays on loopback 8000. Configure independent +VM_USER_TOKEN/VM_ADMIN_TOKEN (at least 24 random characters), VM_ALLOWED_ORIGINS, +VRAG_DATA and VM_STATE_DIR in environment settings; never commit values. +No local inference services are started. For a production container: + +``` +docker build -t video-rag-mentor:v2 . +``` + +See [HF staging/deployment steps](docs/deployment-hf.md), +[v2 qualification and remaining gates](docs/v2-release-readiness.md), +[private backup/restore](docs/backup-restore.md), and +[porting decisions](docs/v2-porting-plan.md). Private Space deployment, backup +repository creation, credentials and activation remain approval-gated. +The base Space disk is ephemeral; local files alone do not establish durability. + +Browser uploads are capped at 64 MiB/30 minutes, with one processing worker and +two simultaneous uploads. Jobs prepare CPU H.264 proxies, keyframes and timestamped +segments, transcribe via remote Whisper-compatible API and build isolated remote +text indexes. Missing providers become explicit blocked jobs with retry/manual +transcript support. Models/routing use strict schema version 1, not the illustrative +version-2 YAML in the product specification. All example routes start disabled. + +Large multimodal inference stays remote. Text adapters cannot encode images, +video or audio into a shared vector space. Historical MRL/RRF indexes and charts +remain viewable where compatible; [original research documentation](docs/original-research.md) +is retained separately and is not this cloud runtime's setup procedure. + +Validation: + +``` +python -m pytest -q +npm --prefix web run lint +npm --prefix web run build +cd web && CHROMIUM_PATH=/usr/bin/chromium npx playwright test +``` + +Install `age` to run actual encrypted backup tests. Test tooling requires pytest, +pytest-asyncio and Playwright; Python dev dependencies are in the uv dev group. diff --git a/config/__init__.py b/config/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/config/examples/detector-only.yaml b/config/examples/detector-only.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e74dda852fc21aed539326bbc076ce1fe2aa7517 --- /dev/null +++ b/config/examples/detector-only.yaml @@ -0,0 +1,23 @@ +version: 1 +profile: detector-only +providers: + detector: + adapter: detection-http + base_url_env: NVIDIA_DETECTION_BASE_URL + api_key_secret: NVIDIA_DETECTION_API_KEY + model: replace-with-verified-gateway-model + capabilities: + - object_detection + - bounding_boxes + trust: approved_sensitive +features: + live.camera1.detection: + strategy: single + providers: + - detector + enabled: false + live.camera2.detection: + strategy: single + providers: + - detector + enabled: false diff --git a/config/examples/disabled.yaml b/config/examples/disabled.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6bdd35a6b25f08a7f1a44d0b8a0cd6b143892069 --- /dev/null +++ b/config/examples/disabled.yaml @@ -0,0 +1,17 @@ +version: 1 +profile: local-preview +providers: {} +features: {} +cameras: + camera1: + analysis_fps: 1 + width: 640 + height: 480 + camera2: + analysis_fps: 1 + width: 640 + height: 480 +privacy: + record_video: false + upload_only_on_explicit_start: true + require_approved_destination_for_camera: true diff --git a/config/examples/hybrid.yaml b/config/examples/hybrid.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4b5337e716d89707ce35bdf6b155fb5f894b6a60 --- /dev/null +++ b/config/examples/hybrid.yaml @@ -0,0 +1,84 @@ +version: 1 +profile: hybrid +providers: + vlm: + adapter: openai-chat-vision + base_url_env: VLM_BASE_URL + api_key_secret: VLM_API_KEY + model: replace-with-verified-model-id + capabilities: + - image_understanding + - reasoning + - visual_decision + trust: approved_sensitive + timeout_ms: 10000 + concurrency: 2 + detector: + adapter: detection-http + base_url_env: NVIDIA_DETECTION_BASE_URL + api_key_secret: NVIDIA_DETECTION_API_KEY + model: replace-with-verified-gateway-model + capabilities: + - object_detection + - bounding_boxes + trust: approved_sensitive + embeddings: + adapter: openai-embeddings + base_url_env: EMBEDDINGS_BASE_URL + api_key_secret: EMBEDDINGS_API_KEY + model: replace-with-embedding-model + capabilities: + - text_embeddings + trust: approved_sensitive + whisper: + adapter: openai-transcription + base_url_env: WHISPER_BASE_URL + api_key_secret: WHISPER_API_KEY + model: replace-with-whisper-model + capabilities: + - transcription + trust: approved_sensitive +features: + live.camera1.scene: + strategy: single + providers: + - vlm + enabled: false + live.camera2.scene: + strategy: single + providers: + - vlm + enabled: false + live.visual_decision: + strategy: single + providers: + - vlm + enabled: false + rag.reasoning: + strategy: single + providers: + - vlm + enabled: false + mentor.reasoning: + strategy: single + providers: + - vlm + enabled: false + live.camera2.detection: + strategy: parallel + providers: + - detector + - vlm + result_policy: all + fusion: spatial_semantic + enabled: false + rag.text_embeddings: + strategy: single + providers: + - embeddings + enabled: false + audio.transcription: + strategy: single + providers: + - whisper + enabled: false diff --git a/config/examples/laya-nvidia-hybrid.yaml b/config/examples/laya-nvidia-hybrid.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6686fa0d769c08270ec2ee0b21a74537e5418b47 --- /dev/null +++ b/config/examples/laya-nvidia-hybrid.yaml @@ -0,0 +1,47 @@ +version: 1 +profile: laya-nvidia-hybrid +providers: + laya: + label: Needle Router Laya Vision + adapter: laya-vision + base_url_env: LAYA_BASE_URL + model: thaitea/laya-vision + capabilities: + - image_understanding + - visual_decision + trust: approved_sensitive + timeout_ms: 60000 + concurrency: 1 + detector: + adapter: detection-http + base_url_env: NVIDIA_DETECTION_BASE_URL + api_key_secret: NVIDIA_DETECTION_API_KEY + model: replace-with-verified-gateway-model + capabilities: + - object_detection + - bounding_boxes + trust: approved_sensitive +features: + live.camera1.scene: + strategy: single + providers: + - laya + enabled: false + live.camera2.scene: + strategy: single + providers: + - laya + enabled: false + live.visual_decision: + strategy: single + providers: + - laya + enabled: false + live.camera2.detection: + strategy: parallel + providers: + - laya + - detector + result_policy: all + fusion: spatial_semantic + enabled: false diff --git a/config/examples/laya-only.yaml b/config/examples/laya-only.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6cf71a799d3f827938810daf7f058227de7c6f05 --- /dev/null +++ b/config/examples/laya-only.yaml @@ -0,0 +1,30 @@ +version: 1 +profile: laya-only +providers: + laya: + label: Needle Router Laya Vision + adapter: laya-vision + base_url_env: LAYA_BASE_URL + model: thaitea/laya-vision + capabilities: + - image_understanding + - visual_decision + trust: approved_sensitive + timeout_ms: 60000 + concurrency: 1 +features: + live.camera1.scene: + strategy: single + providers: + - laya + enabled: false + live.camera2.scene: + strategy: single + providers: + - laya + enabled: false + live.visual_decision: + strategy: single + providers: + - laya + enabled: false diff --git a/config/examples/laya-pending.yaml b/config/examples/laya-pending.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e5243890fd6cc2f8ef105284dfb3dc3a36fe0e7d --- /dev/null +++ b/config/examples/laya-pending.yaml @@ -0,0 +1,22 @@ +version: 1 +profile: laya-pending-protocol +providers: + laya: + label: Needle router / Laya + adapter: laya-vision + base_url_env: LAYA_BASE_URL + api_key_secret: LAYA_API_KEY + model: pending-v1-info-verification + capabilities: [] + trust: approved_sensitive +features: + live.camera1.scene: + strategy: single + providers: + - laya + enabled: false + live.camera2.scene: + strategy: single + providers: + - laya + enabled: false diff --git a/config/examples/laya-vlm-fallback.yaml b/config/examples/laya-vlm-fallback.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0e5dd87269f404b77b0addba12db7490aa710063 --- /dev/null +++ b/config/examples/laya-vlm-fallback.yaml @@ -0,0 +1,42 @@ +version: 1 +profile: laya-vlm-fallback +providers: + laya: + label: Needle Router Laya Vision + adapter: laya-vision + base_url_env: LAYA_BASE_URL + model: thaitea/laya-vision + capabilities: + - image_understanding + - visual_decision + trust: approved_sensitive + timeout_ms: 60000 + concurrency: 1 + detector: + adapter: detection-http + base_url_env: NVIDIA_DETECTION_BASE_URL + api_key_secret: NVIDIA_DETECTION_API_KEY + model: replace-with-verified-gateway-model + capabilities: + - object_detection + - bounding_boxes + trust: approved_sensitive + vlm: + adapter: openai-chat-vision + base_url_env: VLM_BASE_URL + api_key_secret: VLM_API_KEY + model: replace-with-verified-model-id + capabilities: + - image_understanding + - reasoning + - visual_decision + trust: approved_sensitive + timeout_ms: 10000 + concurrency: 2 +features: + live.camera1.scene: + strategy: fallback + providers: + - laya + - vlm + enabled: false diff --git a/config/examples/nvidia-laya-sequential.yaml b/config/examples/nvidia-laya-sequential.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7a450bfda17b6abdf619aa5c62b48c56e09bfa37 --- /dev/null +++ b/config/examples/nvidia-laya-sequential.yaml @@ -0,0 +1,30 @@ +version: 1 +profile: nvidia-laya-sequential +providers: + laya: + label: Needle Router Laya Vision + adapter: laya-vision + base_url_env: LAYA_BASE_URL + model: thaitea/laya-vision + capabilities: + - image_understanding + - visual_decision + trust: approved_sensitive + timeout_ms: 60000 + concurrency: 1 + detector: + adapter: detection-http + base_url_env: NVIDIA_DETECTION_BASE_URL + api_key_secret: NVIDIA_DETECTION_API_KEY + model: replace-with-verified-gateway-model + capabilities: + - object_detection + - bounding_boxes + trust: approved_sensitive +features: + live.camera1.scene: + strategy: sequential + providers: + - detector + - laya + enabled: false diff --git a/config/examples/vlm-only.yaml b/config/examples/vlm-only.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9927e73d72d8e38a17bb2539eb2f04eac230109a --- /dev/null +++ b/config/examples/vlm-only.yaml @@ -0,0 +1,41 @@ +version: 1 +profile: vlm-only +providers: + vlm: + adapter: openai-chat-vision + base_url_env: VLM_BASE_URL + api_key_secret: VLM_API_KEY + model: replace-with-verified-model-id + capabilities: + - image_understanding + - reasoning + - visual_decision + trust: approved_sensitive + timeout_ms: 10000 + concurrency: 2 +features: + live.camera1.scene: + strategy: single + providers: + - vlm + enabled: false + live.camera2.scene: + strategy: single + providers: + - vlm + enabled: false + live.visual_decision: + strategy: single + providers: + - vlm + enabled: false + rag.reasoning: + strategy: single + providers: + - vlm + enabled: false + mentor.reasoning: + strategy: single + providers: + - vlm + enabled: false diff --git a/config/schema.py b/config/schema.py new file mode 100644 index 0000000000000000000000000000000000000000..22618565002130c7022c14b6ba8e4405bd747150 --- /dev/null +++ b/config/schema.py @@ -0,0 +1,141 @@ +"""Strict, bounded configuration. Credentials are references, never YAML values.""" +from typing import Literal +import re +import yaml +from pydantic import BaseModel, ConfigDict, Field, model_validator + +Capability = Literal['image_understanding', 'visual_decision', 'object_detection', 'bounding_boxes', 'object_tracking', 'reasoning', 'text_embeddings', 'multimodal_embeddings', 'transcription'] + +class Strict(BaseModel): + model_config = ConfigDict(extra='forbid', frozen=True) + +class Provider(Strict): + label: str = Field(default='', max_length=100) + adapter: Literal['openai-chat-vision', 'openai-embeddings', 'openai-transcription', 'detection-http', 'laya-vision'] + base_url_env: str = Field(pattern=r'^[A-Z][A-Z0-9_]{0,79}$') + api_key_secret: str | None = Field(default=None, pattern=r'^[A-Z][A-Z0-9_]{0,79}$') + model: str = Field(min_length=1, max_length=200) + capabilities: list[Capability] = Field(max_length=10) + trust: Literal['approved_sensitive', 'public_only'] = 'public_only' + timeout_ms: int = Field(default=10000, ge=100, le=60000) + concurrency: int = Field(default=2, ge=1, le=8) + @model_validator(mode='after') + def supported(self): + if self.api_key_secret and (self.api_key_secret.startswith(('VM_', 'HF_', 'HUGGING_FACE_', 'GITHUB_', 'GH_', 'AWS_', 'RCLONE_', 'AGE_', 'OIC_', 'AZURE_', 'GOOGLE_')) or self.api_key_secret in ('HTTP_PROXY','HTTPS_PROXY','ALL_PROXY')): + raise ValueError('provider credentials cannot reference application, infrastructure or recovery secrets') + supported = { + 'openai-chat-vision': {'image_understanding', 'reasoning', 'visual_decision'}, + 'openai-embeddings': {'text_embeddings'}, + 'openai-transcription': {'transcription'}, + 'detection-http': {'object_detection', 'bounding_boxes', 'object_tracking'}, + # Needle Router imageBase64 + typed noul answers; not generative chat. + 'laya-vision': {'image_understanding', 'visual_decision'}, + } + if not set(self.capabilities) <= supported[self.adapter]: + raise ValueError('capability is not supported by this adapter; use a verified provider protocol') + if self.adapter == 'laya-vision' and self.capabilities and set(self.capabilities) != {'image_understanding','visual_decision'}: + raise ValueError('Laya image scoring requires image_understanding and visual_decision') + if self.adapter == 'detection-http' and set(self.capabilities) & {'object_detection','object_tracking'} and 'bounding_boxes' not in self.capabilities: + raise ValueError('detector/tracker contract requires bounding_boxes') + return self + +class Condition(Strict): + field: Literal['camera_id', 'has_detections'] + equals: str | bool + provider: str + @model_validator(mode='after') + def predicate_type(self): + if self.field == 'camera_id' and (not isinstance(self.equals, str) or self.equals not in ('camera1','camera2')): + raise ValueError('camera condition requires a logical camera slot') + if self.field == 'has_detections' and not isinstance(self.equals, bool): + raise ValueError('has_detections requires a boolean') + return self + +class Route(Strict): + strategy: Literal['single', 'fallback', 'parallel', 'sequential', 'conditional'] = 'single' + providers: list[str] = Field(min_length=1, max_length=8) + enabled: bool = True + result_policy: Literal['all', 'first_valid', 'quorum'] = 'all' + quorum: int = Field(default=1, ge=1, le=8) + fusion: Literal['spatial_semantic'] | None = None + fallback_on: list[Literal['timeout', 'provider_error', 'invalid_output']] = Field(default_factory=lambda: ['timeout', 'provider_error', 'invalid_output']) + conditions: list[Condition] = Field(default_factory=list, max_length=8) + @model_validator(mode='after') + def valid(self): + if len(set(self.providers)) != len(self.providers): + raise ValueError('duplicate providers') + if self.strategy != 'parallel' and self.result_policy != 'all': + raise ValueError('result_policy is only supported for parallel routing') + if self.strategy == 'single' and len(self.providers) != 1: + raise ValueError('single requires exactly one provider') + if self.quorum > len(self.providers): + raise ValueError('quorum exceeds provider count') + if self.strategy == 'conditional' and not self.conditions: + raise ValueError('conditional requires deterministic conditions') + if any(c.provider not in self.providers for c in self.conditions): + raise ValueError('condition provider must belong to route') + return self + +class Camera(Strict): + analysis_fps: float = Field(default=1, gt=0, le=2) + width: int = Field(default=640, ge=160, le=1920) + height: int = Field(default=480, ge=120, le=1080) + +class Privacy(Strict): + record_video: Literal[False] = False + upload_only_on_explicit_start: Literal[True] = True + require_approved_destination_for_camera: Literal[True] = True + +class Configuration(Strict): + version: Literal[1] = 1 + profile: str = Field(default='unconfigured', min_length=1, max_length=100) + providers: dict[str, Provider] = Field(default_factory=dict, max_length=32) + features: dict[str, Route] = Field(default_factory=dict, max_length=64) + cameras: dict[Literal['camera1', 'camera2'], Camera] = Field(default_factory=lambda: {'camera1': Camera(), 'camera2': Camera()}) + privacy: Privacy = Field(default_factory=Privacy) + @model_validator(mode='after') + def references(self): + for key in self.providers: + if not re.fullmatch(r'[a-zA-Z0-9_-]{1,64}', key): + raise ValueError('invalid provider identifier') + required = {'rag.text_embeddings': 'text_embeddings', 'audio.transcription': 'transcription', 'rag.reasoning': 'reasoning', 'mentor.reasoning': 'reasoning'} + for feature, route in self.features.items(): + if any(p not in self.providers for p in route.providers): + raise ValueError(f'{feature}: unknown provider') + if route.enabled: + if any(self.providers[p].model.lower().startswith(('replace-with','verified_','your-')) for p in route.providers): + raise ValueError('replace placeholder model identifiers before enabling routes') + cap = required.get(feature) + caps = {c for p in route.providers for c in self.providers[p].capabilities} + if cap and any(cap not in self.providers[p].capabilities for p in route.providers): + raise ValueError(f'{feature}: missing {cap} capability') + if feature == 'rag.text_embeddings' and route.strategy != 'single': + raise ValueError('embedding indexes require one explicit provider identity') + if feature.endswith('.tracking') and 'object_tracking' not in caps: + raise ValueError('tracking requires a real tracker') + if feature.endswith('.detection') and 'bounding_boxes' not in caps: + raise ValueError('detection requires a spatial detector') + if feature.startswith('live.') and any(self.providers[p].adapter in ('openai-chat-vision','laya-vision') and 'image_understanding' not in self.providers[p].capabilities for p in route.providers): + raise ValueError('live semantic providers must accept images') + if feature.startswith('live.') and any(not set(self.providers[p].capabilities) & {'image_understanding', 'visual_decision', 'object_detection', 'object_tracking'} for p in route.providers): + raise ValueError('live route requires visual capability') + return self + +def parse_yaml(text: str) -> Configuration: + if len(text.encode()) > 65536: + raise ValueError('configuration exceeds 64 KiB') + # Reject aliases/anchors entirely rather than expanding attacker-controlled graphs. + if any(isinstance(t, (yaml.tokens.AliasToken, yaml.tokens.AnchorToken)) for t in yaml.scan(text)): + raise ValueError('YAML aliases and anchors are disabled') + class UniqueLoader(yaml.SafeLoader): + pass + def mapping(loader, node): + result = {} + for k, v in node.value: + key = loader.construct_object(k) + if key in result: + raise ValueError('duplicate YAML key') + result[key] = loader.construct_object(v) + return result + UniqueLoader.add_constructor(yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG, mapping) + return Configuration.model_validate(yaml.load(text, Loader=UniqueLoader)) diff --git a/deploy/backup-repository/inactive-workflows/backup-12h.yml b/deploy/backup-repository/inactive-workflows/backup-12h.yml new file mode 100644 index 0000000000000000000000000000000000000000..c08df6b94a14b1534875d0ad7ace74b79ae8a606 --- /dev/null +++ b/deploy/backup-repository/inactive-workflows/backup-12h.yml @@ -0,0 +1,26 @@ +name: Coordinate private Space GitHub checkpoint +on: + schedule: + - cron: '17 0,12 * * *' + workflow_dispatch: +permissions: + contents: read +concurrency: + group: backup-production + cancel-in-progress: false +jobs: + checkpoint: + if: vars.BACKUPS_APPROVED == 'true' && vars.COORDINATOR_VALIDATED == 'true' + environment: private-backup + runs-on: ubuntu-24.04 + timeout-minutes: 35 + steps: + - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 + - run: python -m pip install httpx==0.28.1 + - name: Verify private Space reachability and completed checkpoint + env: + VM_SPACE_ID: ${{ vars.VM_SPACE_ID }} + VM_SPACE_URL: ${{ vars.VM_SPACE_URL }} + HF_SPACE_TOKEN: ${{ secrets.HF_SPACE_TOKEN }} + VM_BACKUP_TRIGGER_TOKEN: ${{ secrets.VM_BACKUP_TRIGGER_TOKEN }} + run: python scripts/coordinate_backup.py diff --git a/deploy/backup-repository/inactive-workflows/qualify-private-staging.yml b/deploy/backup-repository/inactive-workflows/qualify-private-staging.yml new file mode 100644 index 0000000000000000000000000000000000000000..2e2cbc013a2ea62fd7ef6976f4c8efb19d6b88c9 --- /dev/null +++ b/deploy/backup-repository/inactive-workflows/qualify-private-staging.yml @@ -0,0 +1,25 @@ +name: Qualify private staging backup manually +on: + workflow_dispatch: +permissions: + contents: read +concurrency: + group: backup-staging-qualification + cancel-in-progress: false +jobs: + qualify: + runs-on: ubuntu-24.04 + environment: private-backup-staging + timeout-minutes: 35 + steps: + - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 + - run: python -m pip install httpx==0.28.1 + - name: Verify private access and a new checkpoint + env: + VM_SPACE_ID: ${{ vars.STAGING_SPACE_ID }} + VM_SPACE_URL: ${{ vars.STAGING_SPACE_URL }} + HF_SPACE_TOKEN: ${{ secrets.STAGING_HF_TOKEN }} + VM_BACKUP_TRIGGER_TOKEN: ${{ secrets.STAGING_BACKUP_TRIGGER_TOKEN }} + run: >- + python scripts/qualify_private_space.py + --space "$VM_SPACE_ID" --url "$VM_SPACE_URL" --trigger diff --git a/deploy/hf-staging/README.md b/deploy/hf-staging/README.md new file mode 100644 index 0000000000000000000000000000000000000000..80bf8e37c373edafa0e4fc2ffd7e9b5d6c3d0115 --- /dev/null +++ b/deploy/hf-staging/README.md @@ -0,0 +1,67 @@ +# Private staging qualification package (not deployed) + +Proposed target: **Leon4gr45/openweb-v2-staging**, private Docker Space, CPU Basic. +Production `Leon4gr45/openweb` is excluded. A live anonymous HF metadata probe on +17 October 2026 reported production `private=false`, Docker/CPU Basic/RUNNING and +no deployed backup-status route (404). This package never changes that Space. + +Upload only the application allowlist from docs/deployment-hf.md, using the reviewed +feature-branch commit and an HF identity authorized to write this staging repository. +A credential restricted to an existing staging repository is preferred: create the +private staging repository separately first, then grant write only to that target. +Creation itself requires repository-creation rights for the Leon4gr45 namespace. +No deployment command has been executed and no HF credential is currently present. + +HF staging Variables: + +``` +VM_BACKUP_ENABLED=true +VM_BACKUP_REPOSITORY=JsonLord/visual-mentor-backups +VM_BACKUP_NAMESPACE=staging-qualification +VM_RECOVERY_ROOT=/app/work +VRAG_DATA=/app/work/data +VM_STATE_DIR=/app/work/state +VM_ALLOWED_ORIGINS=https://leon4gr45-openweb-v2-staging.hf.space +VM_BACKUP_RECIPIENT= +``` + +Secrets: independent VM_USER_TOKEN / VM_ADMIN_TOKEN (>=24 characters), +VM_BACKUP_TRIGGER_TOKEN (>=32 characters), VM_BACKUP_GITHUB_TOKEN (backup repository +Contents read/write, Metadata read, API + upload-host access), VM_BACKUP_IDENTITY +(age private recovery identity, direct HF Secret; do not proxy this value). +Keep the independent operator recovery key copy. Provider settings remain disabled +unless an explicitly authorized synthetic-provider test needs them. Source and +media/index fixtures must come from a separate disposable test namespace. + +For a reviewed first initialization of this *new staging namespace only*, temporarily +set VM_BACKUP_ALLOW_EMPTY=true; remove it after the first verified checkpoint. +Never use this override to hide a failed restore of a previously initialized root. +Use synthetic video ingestion or the offline fixture exporter with writers stopped. + +After the deployment is ready, execute the read-only private boundary probe: + +``` +python scripts/qualify_private_space.py \ + --space Leon4gr45/openweb-v2-staging \ + --url https://leon4gr45-openweb-v2-staging.hf.space +``` + +It requires HF_SPACE_TOKEN (read access to this private staging repo, plus direct +private app route access) and VM_BACKUP_TRIGGER_TOKEN from secure settings. +Add `--trigger` only when ready for an actual new checkpoint; it uses the bounded +coordinator. It records anonymous denial, authorized status, rejection of a wrong +trigger token, initial runtime stage, and checkpoint outcome. An already running +Space cannot establish a sleep/wake claim. Do not call restart/resume/hardware APIs; +wait for a naturally sleeping staging instance and test the authenticated route. + +The backup repository's `inactive-workflows/qualify-private-staging.yml` is a +**manual-only** test workflow, with separate `private-backup-staging` environment +and STAGING_* variables/secrets. No production timer is activated. Once staging +credentials and routing work locally, review and install only this manual workflow, +dispatch from an actual runner, then record its run URL/checkpoint. The 12-hour +production workflow stays in inactive-workflows with approval guards unset. + +Final drill: delete only this staging test working root, start its clean container, +and verify restored Library/Search/media/config/index from GitHub + protected key. +Record initial/final file hashes, SQLite integrity/logical rows, Range response and +actual media decoding. Production and pre-existing backups/releases remain untouched. diff --git a/diagnostics/README.md b/diagnostics/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ecfc5bec5deec1b30415ab1dd6547b6dcfb6bb33 --- /dev/null +++ b/diagnostics/README.md @@ -0,0 +1,179 @@ +# Standalone GitHub encrypted-release probe + +Copy **only `qualify_github_release.py`** to your trusted laptop/server if desired. +It needs Python 3.10+ and the official `age` / `age-keygen` executables on PATH. +No Visual Mentor installation, pip packages, GitHub CLI or application models are +required. It works with Linux and native Windows Python; Windows execution has not +been tested in this managed Linux environment. + +Inject `VM_BACKUP_GITHUB_TOKEN` using your trusted machine's secure secret manager. +The script reads **only this environment variable** for credentials; it never reads +GH_TOKEN, credential files or command-line token arguments. Use the same permitted +credential as in the managed test, not a copied proxy placeholder. Limit it to the +private JsonLord/visual-mentor-backups repository, Contents read/write and Metadata +read. Do not paste credentials into command history, reports or chat. + +The script keeps the machine's approved proxy/CA/TLS settings. Execute it on the +independent trusted machine normally; do not disable this managed environment's +proxy, firewall or certificate checks. Optional `--age` and `--age-keygen` arguments +accept executable paths when those tools are not on PATH. + +## Linux / Debian: standalone upload test + +Install the local prerequisites on your trusted Debian/Ubuntu server if needed: + +```sh +sudo apt-get update +sudo apt-get install --no-install-recommends python3 age ca-certificates +``` + +With the credential already injected securely, run from the downloaded script's +folder (or use its absolute path): + +```sh +python3 qualify_github_release.py --output standalone-upload.json +``` + +From the repository checkout the equivalent command is: + +```sh +python3 diagnostics/qualify_github_release.py --output standalone-upload.json +``` + +Exit 0 means the new encrypted asset's SHA-256 was verified by downloading it. +Exit 2 means NO-GO; stop and inspect the sanitized evidence. No request is retried. +Without `--output`, a unique `github-release-qualification--.json` is written in +the current directory. `--output /path/to/new.json` selects a new file explicitly; +an existing file is refused before any network call. Missing tools/credentials +also fail before creating a release. + +## Windows: standalone upload test + +Use Python 3.10+ (`py -3`) and PowerShell 7. Install the official pinned age tools +if they are not already on PATH: + +```powershell +$tools = Join-Path $env:LOCALAPPDATA 'VisualMentorDiagnosticTools' +New-Item -ItemType Directory -Force -Path $tools | Out-Null +$zip = Join-Path $tools 'age-v1.2.1-windows-amd64.zip' +Invoke-WebRequest -Uri 'https://github.com/FiloSottile/age/releases/download/v1.2.1/age-v1.2.1-windows-amd64.zip' -OutFile $zip +Expand-Archive -Path $zip -DestinationPath $tools -Force +$env:Path = "$(Join-Path $tools 'age');$env:Path" +Get-Command age.exe, age-keygen.exe +``` + +These commands are for x64 Windows; use the matching official age release for +other architectures. They contain no credential values. With the dedicated token +already injected securely into this PowerShell session, run: + +```powershell +py -3 .\qualify_github_release.py --output .\standalone-upload.json +if ($LASTEXITCODE -ne 0) { throw 'Upload qualification failed; inspect the new JSON evidence.' } +``` + +From the application checkout use `py -3 .\diagnostics\qualify_github_release.py --output .\standalone-upload.json`. +Do not add a token argument. Paths with spaces work with `--age` / `--age-keygen`: + +```powershell +py -3 .\qualify_github_release.py --age "$tools\age\age.exe" --age-keygen "$tools\age\age-keygen.exe" +``` + +## What the probe does + +1. Generates a small synthetic payload and a disposable age identity in a temporary + directory, encrypts the payload, and verifies a local decryption roundtrip. +2. Confirms the repository is private. Explicit denial of reported push permission + stops the run; successful creation of the new test release proves an actual + Contents-write operation (no repository file or checkpoint is edited). +3. Creates exactly one uniquely named `vm-credential-test-*` prerelease. +4. Validates and uses GitHub's returned upload_url for exactly one encrypted asset. +5. Downloads the asset by API ID and compares its ciphertext SHA-256 and byte count. + Signed release redirects are allowlisted and receive **no Authorization header**. +6. Saves method, host, status, GitHub request ID, release/asset IDs and hash results. + Tokens, plaintext payloads, recovery identities, response bodies and signed URLs + are never printed or written to evidence. The temporary identity is destroyed. + +Any HTTP rejection stops immediately, including 401/403/404. The unique release +and any successful synthetic upload remain for inspection; nothing is deleted. +Existing releases/checkpoints and all workflow settings remain untouched. The +probe does not dispatch workflows or deploy anything. Its upload GO alone does +not establish a complete recovery or private-HF staging GO. + +## Only after upload GO: complete destructive GitHub recovery + +The full existing drill requires the application checkout, Python 3.12, uv, FFmpeg, +age/age-keygen and the same dedicated credential. It does not require HF access. +Only the disposable local fixture is destroyed. All previous remote backups remain. +The commands below reuse the preceding `standalone-upload.json`; they do not create +another standalone probe release. If you selected a different output filename, +substitute that filename in the evidence check. +Its query embedding is a deterministic synthetic stub; index retrieval is real. + +**Linux**, from the application checkout: + +```sh +set -e +if [ -z "${VM_BACKUP_GITHUB_TOKEN:-}" ]; then + echo 'Dedicated credential required; refusing integration fallback' >&2 + exit 2 +fi +python3 -c 'import json; r=json.load(open("standalone-upload.json")); assert r["status"] == "passed" and r["asset_readback_verified"] and r["credential_source"] == "VM_BACKUP_GITHUB_TOKEN"' +# set -e stops unless the preceding standalone report proves upload + readback. +archive=$(mktemp -d "$PWD/docs/evidence/trusted-recovery-XXXXXXXX") +if [ -f docs/evidence/github-recovery-live.json ]; then + cp docs/evidence/github-recovery-live.json "$archive/before.json" +fi +set +e +uv run --frozen --group dev --python 3.12 python tests/live_github_recovery.py +result=$? +set -e +if [ -f docs/evidence/github-recovery-live.json ]; then + cp docs/evidence/github-recovery-live.json "$archive/after.json" +fi +if [ "$result" -ne 0 ]; then + echo "NO-GO: recovery failed; evidence saved under $archive" >&2 + exit "$result" +fi +echo "GitHub recovery GO; evidence saved under $archive" +``` + +**Windows PowerShell 7**, from the application checkout with uv, FFmpeg and age on +PATH and Python 3.12 installed: + +```powershell +if (-not $env:VM_BACKUP_GITHUB_TOKEN) { throw 'Dedicated credential required; refusing integration fallback.' } +py -3 -c "import json; r=json.load(open('standalone-upload.json')); assert r['status'] == 'passed' and r['asset_readback_verified'] and r['credential_source'] == 'VM_BACKUP_GITHUB_TOKEN'" +if ($LASTEXITCODE -ne 0) { throw 'NO-GO: upload/readback report missing or failed; do not run recovery.' } +$archive = Join-Path (Get-Location) ('docs\evidence\trusted-recovery-' + [guid]::NewGuid().ToString('N')) +New-Item -ItemType Directory -Path $archive | Out-Null +$evidence = '.\docs\evidence\github-recovery-live.json' +if (Test-Path $evidence) { Copy-Item $evidence (Join-Path $archive 'before.json') } +uv run --frozen --group dev --python 3.12 python tests\live_github_recovery.py +$result = $LASTEXITCODE +if (Test-Path $evidence) { Copy-Item $evidence (Join-Path $archive 'after.json') } +if ($result -ne 0) { throw "NO-GO: recovery failed; evidence saved under $archive" } +Write-Host "GitHub recovery GO; evidence saved under $archive" +``` + +The harness creates another disposable namespace, commits two verified checkpoints, +checks unchanged incremental dedup, deletes source and staging, recovers using +GitHub plus the protected test identity, and checks every restored file hash, +SQLite integrity/logical rows, fresh-process Library/Search/config/index, authorized +media Range, anonymous media denial and FFmpeg decoding. It never deletes remote +releases or activates workflows. Archive copies preserve pre-existing local evidence +before the existing harness writes its fixed report filename. + +Return only the new standalone JSON and the archived `after.json` for review. +Outside success with managed failure implicates host-specific credential/proxy +handling; matching failures require repository/permission/policy investigation. +Neither result alone proves whether a proxy strips versus replaces Authorization. + +## Recorded managed result + +The first standalone run reproduced API write success and upload **404**; full +recovery was therefore **not run**. See the immutable unique JSON under +`docs/evidence/standalone-probes/` and the qualification report. No outside-machine +or Windows live run is claimed. Four stdlib unittest cases validate the mocked +success/security/failure paths (`python -m unittest discover -s diagnostics/tests -v`). +Production workflows stay inactive. First private staging deployment remains NO-GO +until complete live recovery and the remaining private-HF checks are established. diff --git a/diagnostics/qualify_github_release.py b/diagnostics/qualify_github_release.py new file mode 100644 index 0000000000000000000000000000000000000000..9e055c68b2627ced8a7e5f748a5f12748404f334 --- /dev/null +++ b/diagnostics/qualify_github_release.py @@ -0,0 +1,218 @@ +#!/usr/bin/env python3 +"""Standalone release probe: Python stdlib + age/age-keygen; no app imports. + +Only VM_BACKUP_GITHUB_TOKEN is read for authentication. Existing releases and +checkpoints are never changed. Each run creates at most one new test release. +""" +import argparse +from datetime import datetime, timezone +import hashlib +import json +import os +from pathlib import Path +import re +import shutil +import ssl +import subprocess +import tempfile +from urllib.error import HTTPError, URLError +from urllib.parse import urlencode, urlsplit +from urllib.request import HTTPRedirectHandler, HTTPSHandler, Request, build_opener +import uuid + +LIMIT = 1024 * 1024 + + +class Failure(Exception): + pass + + +class NoRedirect(HTTPRedirectHandler): + def redirect_request(self, req, fp, code, msg, headers, newurl): + return None + + +class Probe: + def __init__(self, repo, token, report, save): + self.repo, self.token, self.report, self.save = repo, token, report, save + self.base = 'https://api.github.com/repos/' + repo + # Preserve the machine's approved proxy settings and CA trust. + context = ssl.create_default_context(cafile=os.environ.get('SSL_CERT_FILE') or None) + self.opener = build_opener(NoRedirect(), HTTPSHandler(context=context)) + + def request(self, method, url, data=None, authenticated=True, redirect=False): + parsed = urlsplit(url) + hosts = ('api.github.com', 'uploads.github.com') if authenticated else ( + 'release-assets.githubusercontent.com', 'objects.githubusercontent.com') + if (parsed.scheme != 'https' or parsed.hostname not in hosts + or parsed.username or parsed.password or parsed.port not in (None, 443) + or parsed.fragment): + raise Failure('destination_denied') + headers = {'Accept': 'application/vnd.github+json', 'User-Agent': 'vm-release-credential-probe', + 'X-GitHub-Api-Version': '2022-11-28'} + if authenticated: + headers['Authorization'] = 'Bearer ' + self.token + if isinstance(data, dict): + data = json.dumps(data).encode() + headers['Content-Type'] = 'application/json' + elif data is not None: + headers['Content-Type'] = 'application/octet-stream' + if '/releases/assets/' in parsed.path or not authenticated: + headers['Accept'] = 'application/octet-stream' + try: + response = self.opener.open(Request(url, data=data, headers=headers, method=method), timeout=30) + except HTTPError as error: + response = error # Record response metadata only; never print its URL/body. + except (URLError, OSError): + raise Failure('network_or_tls_failure') from None + with response: + status = response.code + event = {'host': parsed.hostname, 'method': method, 'status': status, + 'request_id': response.headers.get('X-GitHub-Request-Id'), + 'authenticated': authenticated, + 'accepted_permissions': response.headers.get('X-Accepted-GitHub-Permissions')} + self.report['http_events'].append(event) + self.save() + if redirect and status in (301, 302, 303, 307, 308): + return status, b'', response.headers.get('Location', '') + if not 200 <= status < 300: + # No retries, including 401/403/404: preserve the first rejection. + raise Failure('authentication_rejected' if status == 401 else 'http_rejected_' + str(status)) + body = response.read(LIMIT + 1) + if len(body) > LIMIT: + raise Failure('response_too_large') + return status, body, None + + def json_request(self, method, url, data=None): + status, body, _ = self.request(method, url, data) + try: + return status, json.loads(body) + except (ValueError, UnicodeError): + raise Failure('invalid_json_response') from None + + def run(self, ciphertext, run_id): + self.report.update(ciphertext_bytes=len(ciphertext), + expected_sha256=hashlib.sha256(ciphertext).hexdigest()) + self.save() + _, repo = self.json_request('GET', self.base) + if repo.get('private') is not True: + raise Failure('repository_not_private') + self.report['private_repository_verified'] = True + push = repo.get('permissions', {}).get('push') + self.report['repository_push_permission_reported'] = push + if push is False: + raise Failure('repository_write_permission_denied') + tag = 'vm-credential-test-' + run_id + status, release = self.json_request('POST', self.base + '/releases', { + 'tag_name': tag, 'name': tag, 'prerelease': True, 'draft': False, + 'body': 'Disposable synthetic encrypted credential probe. No application data.'}) + if status != 201: + raise Failure('release_creation_not_confirmed') + release_id = release.get('id') + if not isinstance(release_id, int) or isinstance(release_id, bool) or release_id <= 0: + raise Failure('invalid_release_id') + self.report.update(release_id=release_id, release_tag=tag, contents_write_verified=True) + self.save() # Successful release creation is an actual Contents-write operation. + upload = release.get('upload_url', '').split('{', 1)[0] + parsed = urlsplit(upload) + expected = '/repos/' + self.repo + '/releases/' + str(release_id) + '/assets' + if (parsed.scheme != 'https' or parsed.hostname != 'uploads.github.com' + or parsed.path != expected or parsed.query or parsed.fragment + or parsed.username or parsed.password or parsed.port not in (None, 443)): + raise Failure('upload_url_denied') + status, asset = self.json_request('POST', upload + '?' + urlencode({'name': 'synthetic.age'}), ciphertext) + if status != 201: + raise Failure('asset_creation_not_confirmed') + asset_id = asset.get('id') + if not isinstance(asset_id, int) or isinstance(asset_id, bool) or asset_id <= 0: + raise Failure('invalid_asset_id') + self.report['asset_id'] = asset_id + self.save() + status, downloaded, location = self.request('GET', self.base + '/releases/assets/' + str(asset_id), redirect=True) + if location is not None: + _, downloaded, _ = self.request('GET', location, authenticated=False) + expected_hash = hashlib.sha256(ciphertext).hexdigest() + actual_hash = hashlib.sha256(downloaded).hexdigest() + self.report.update(ciphertext_bytes=len(ciphertext), expected_sha256=expected_hash, + downloaded_sha256=actual_hash) + if actual_hash != expected_hash or len(downloaded) != len(ciphertext): + raise Failure('asset_readback_mismatch') + self.report.update(asset_readback_verified=True, upload_decision='GO', + staging_decision='NO-GO: complete recovery and private HF qualification still required', + status='passed') + + +def encrypt_fixture(age, keygen): + with tempfile.TemporaryDirectory(prefix='vm-release-probe-') as scratch: + root = Path(scratch) + identity, clear, encrypted = root / 'identity.agekey', root / 'synthetic.txt', root / 'synthetic.age' + def command(args): + try: + result = subprocess.run(args, capture_output=True, timeout=30) + except (OSError, subprocess.TimeoutExpired): + raise Failure('age_tool_failed') from None + if result.returncode: + raise Failure('age_tool_failed') + return result.stdout + command([keygen, '-o', str(identity)]) + identity.chmod(0o600) + recipient = command([keygen, '-y', str(identity)]).decode().strip() + payload = b'Visual Mentor synthetic release credential qualification; no user data.\n' + clear.write_bytes(payload) + command([age, '-r', recipient, '-o', str(encrypted), str(clear)]) + if command([age, '-d', '-i', str(identity), str(encrypted)]) != payload: + raise Failure('local_age_roundtrip_failed') + ciphertext = encrypted.read_bytes() + if not ciphertext.startswith(b'age-encryption.org/v1') or len(ciphertext) >= LIMIT: + raise Failure('invalid_encrypted_fixture') + return ciphertext # The disposable test key is destroyed on exit. + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument('--repo', default='JsonLord/visual-mentor-backups') + parser.add_argument('--output', type=Path, help='New evidence file; existing files are refused') + parser.add_argument('--age', default='age', help='age executable path') + parser.add_argument('--age-keygen', default='age-keygen', help='age-keygen executable path') + args = parser.parse_args() + if not re.fullmatch(r'[A-Za-z0-9_.-]+/[A-Za-z0-9_.-]+', args.repo): + parser.error('invalid owner/repository') + run_id = datetime.now(timezone.utc).strftime('%Y%m%dT%H%M%SZ') + '-' + uuid.uuid4().hex + output = args.output or Path('github-release-qualification-' + run_id + '.json') + report = {'run_id': run_id, 'repository': args.repo, 'credential_source': 'VM_BACKUP_GITHUB_TOKEN', + 'status': 'started', 'upload_decision': 'NO-GO', 'staging_decision': 'NO-GO', + 'contents_write_verified': False, 'asset_readback_verified': False, 'http_events': [], + 'recovery_run': False, 'production_or_workflows_changed': False} + # Exclusive creation protects all previous evidence. Only this run's new file is updated. + try: + with output.open('x', encoding='utf-8') as stream: + stream.write(json.dumps(report, indent=2) + '\n') + output.chmod(0o600) + except OSError: + print('NO-GO: evidence path unavailable or already exists; no requests made.') + return 2 + def save(): + output.write_text(json.dumps(report, indent=2) + '\n', encoding='utf-8') + try: + token = os.environ.get('VM_BACKUP_GITHUB_TOKEN') + if not token: + raise Failure('dedicated_credential_missing') + age, keygen = shutil.which(args.age), shutil.which(args.age_keygen) + if not age or not keygen: + raise Failure('install_age_and_age_keygen') + ciphertext = encrypt_fixture(age, keygen) + report['local_age_roundtrip_verified'] = True + Probe(args.repo, token, report, save).run(ciphertext, run_id) + except Failure as error: + report.update(status='failed', failure_code=str(error)) + except Exception: + report.update(status='failed', failure_code='unexpected_local_failure') + save() + print(json.dumps({'status': report['status'], 'upload_decision': report['upload_decision'], + 'evidence': str(output), 'failure_code': report.get('failure_code'), + 'asset_id': report.get('asset_id')})) + return 0 if report['status'] == 'passed' else 2 + + +if __name__ == '__main__': + raise SystemExit(main()) diff --git a/diagnostics/tests/test_release_probe.py b/diagnostics/tests/test_release_probe.py new file mode 100644 index 0000000000000000000000000000000000000000..c55701ef1de6343b6d7f157bb81659a351eb1432 --- /dev/null +++ b/diagnostics/tests/test_release_probe.py @@ -0,0 +1,95 @@ +import hashlib +import importlib.util +import io +import json +from pathlib import Path +import tempfile +import unittest +from urllib.error import HTTPError +from unittest.mock import patch + +spec = importlib.util.spec_from_file_location('probe', Path(__file__).parents[1] / 'qualify_github_release.py') +probe = importlib.util.module_from_spec(spec) +spec.loader.exec_module(probe) + + +class Response(io.BytesIO): + def __init__(self, code, body=b'', headers=None): + super().__init__(body) + self.code, self.headers = code, headers or {'X-GitHub-Request-Id': 'TEST:SAFE'} + + +class ProbeTests(unittest.TestCase): + def make(self): + report = {'http_events': []} + return probe.Probe('test/private', 'secret-never-log', report, lambda: None), report + + def test_roundtrip_and_stripped_signed_download(self): + client, report = self.make() + ciphertext = b'age-encryption.org/v1\nsynthetic mock ciphertext' + requests = [] + class Opener: + def open(self, req, timeout): + requests.append(req) + url, method = req.full_url, req.get_method() + if url == client.base: + return Response(200, json.dumps({'private': True, 'permissions': {'push': True}}).encode()) + if url.endswith('/releases'): + return Response(201, json.dumps({'id': 9, 'upload_url': 'https://uploads.github.com/repos/test/private/releases/9/assets{?name,label}'}).encode()) + if 'uploads.github.com' in url: + self.uploaded = req.data + return Response(201, b'{"id":19}') + if '/releases/assets/19' in url: + return Response(302, headers={'Location': 'https://release-assets.githubusercontent.com/object?signature=not-recorded'}) + assert req.get_header('Authorization') is None + return Response(200, self.uploaded) + client.opener = Opener() + client.run(ciphertext, 'unique') + self.assertTrue(report['contents_write_verified']) + self.assertTrue(report['asset_readback_verified']) + self.assertEqual(report['downloaded_sha256'], hashlib.sha256(ciphertext).hexdigest()) + self.assertEqual(report['asset_id'], 19) + self.assertEqual(len(requests), 5) + self.assertNotIn('secret-never-log', json.dumps(report)) + self.assertNotIn('signature', json.dumps(report)) + self.assertEqual(sum(r.get_method() == 'POST' and r.full_url.endswith('/releases') for r in requests), 1) + + def test_permanent_failure_stops_without_retry(self): + for status in (401, 403, 404, 422): + client, report = self.make() + calls = [] + class Opener: + def open(self, req, timeout): + calls.append(req) + raise HTTPError(req.full_url, status, 'redacted', {'X-GitHub-Request-Id': 'REJECT'}, io.BytesIO(b'never-record-this-body')) + client.opener = Opener() + with self.assertRaises(probe.Failure): + client.request('POST', 'https://uploads.github.com/endpoint', b'encrypted') + self.assertEqual(len(calls), 1) + self.assertEqual(report['http_events'][0]['status'], status) + self.assertNotIn('never-record', json.dumps(report)) + + def test_untrusted_destination_rejected_before_request(self): + client, _ = self.make() + class Forbidden: + def open(self, *args, **kwargs): + raise AssertionError('must not send') + client.opener = Forbidden() + for url in ('http://api.github.com/private', 'https://evil.example/private', 'https://token@api.github.com/private'): + with self.assertRaises(probe.Failure): + client.request('GET', url) + + def test_missing_dedicated_token_does_not_use_integration_token(self): + with tempfile.TemporaryDirectory() as root: + output = Path(root) / 'new.json' + with patch.dict(probe.os.environ, {'GH_TOKEN': 'never-use'}, clear=True), patch('sys.argv', ['probe', '--output', str(output)]), patch('builtins.print'): + self.assertEqual(probe.main(), 2) + self.assertEqual(json.loads(output.read_text())['failure_code'], 'dedicated_credential_missing') + original = output.read_bytes() + with patch('sys.argv', ['probe', '--output', str(output)]), patch('builtins.print'): + self.assertEqual(probe.main(), 2) + self.assertEqual(output.read_bytes(), original) + + +if __name__ == '__main__': + unittest.main() diff --git a/docs/backup-restore.md b/docs/backup-restore.md new file mode 100644 index 0000000000000000000000000000000000000000..7a743172f0f434ed80af4b00bf673d5907618788 --- /dev/null +++ b/docs/backup-restore.md @@ -0,0 +1,167 @@ +# GitHub-native encrypted backup and recovery + +The active filesystem is HF CPU Basic ephemeral disk. The private +`JsonLord/visual-mentor-backups` repository is the sole persistent recovery store. +No object store, rclone remote, HF paid disk, or independent media copy is required. +This implementation is prepared for review; production scheduling and HF deployment +remain disabled. See `github-backup-migration.md` for actual test evidence and gates. + +## Recovery protocol (format 2) + +The Space pauses ingestion/upload and configuration writes using one asyncio lock, +then copies its complete recognized data tree and config history into a private +snapshot directory. SQLite uses the online backup API, integrity check and VACUUM. +The copied index includes CURRENT and all versioned revisions, manifests, vectors +and segments. Coverage validates published videos and referenced index media. +All original videos, proxies, thumbnails, segment frames, transcript files, index +revisions, experiments/evaluation files, saved answer history, queue DB and configuration history travel +with the checkpoint. Unknown data/config files, symlinks, unfinished temporary +files, missing required media, incompatible index layout and capacity violations +fail the checkpoint. No success is reported for an omitted required file. + +Uploads happen after releasing the write lock. Files are split into 16 MiB chunks, +addressed by plaintext SHA-256 **inside the encrypted manifest**. Identical chunks +in the same checkpoint and its immediate predecessor reuse existing assets. A +chunk absent from that predecessor may upload again even if an older checkpoint +contains it; this is incremental deduplication, not global garbage collection. +New chunks are age-encrypted before upload. GitHub release asset names are hashes +of ciphertext. Decryptor/recipient compatibility is checked before publication. +Existing objects and new uploads are read back and hash-verified. A manifest +contains file paths, hashes, chunk references, index revision/model space and +coverage. It is itself encrypted and uploaded as a private release asset. + +Only after every referenced object verifies does a unique GitHub Contents commit +publish `checkpoints///-.json`. That small record +contains format, creation time, encrypted manifest asset ID/size/hash; it contains +no media, transcript, config, plaintext hashes or key. GitHub also observes repo, +release names, object sizes, timing and access. These operational metadata cannot +be hidden from the storage provider. No plaintext user payload is transmitted. +The repository record is the atomic commit point. Partial releases are uncommitted +orphans, not restore points. Existing records/assets are never overwritten or +pruned. Transient calls retry at most three times; immutable names reconcile +uncertain responses. Snapshot attempts also retry three times, with 90-second +lock acquisition bounds. Concurrent triggers coalesce in the one-worker queue. +Only one application process/replica is supported. Do not run external writers or +CLI ingestion alongside the serving process; use offline CLI after stopping it. + +## Space settings (after deployment approval) + +HF Variables: + +``` +VM_BACKUP_ENABLED=true +VM_BACKUP_REPOSITORY=JsonLord/visual-mentor-backups +VM_BACKUP_NAMESPACE=production +VM_RECOVERY_ROOT=/app/work +VRAG_DATA=/app/work/data +VM_STATE_DIR=/app/work/state +VM_BACKUP_RECIPIENT=age1 +``` + +HF **Secrets**, entered securely in settings: + +- `VM_BACKUP_GITHUB_TOKEN`: fine-grained identity limited to the private backup + repository, Contents read/write and release asset access. Test both + `api.github.com` and `uploads.github.com`. It requires neither repository + administration nor Actions permission. Private downloads may redirect to signed + GitHub release URLs; the client never forwards its bearer token to that host. +- `VM_BACKUP_IDENTITY`: age private identity text matching the public recipient. + It is materialized with mode 0600 into a temporary file outside the working tree + before startup; the raw variable is removed from inherited child environment. + Alternatively provide a securely provisioned `VM_BACKUP_IDENTITY_FILE` outside + `/app/work`. Protect an independent operator copy of this key: GitHub data alone + cannot recover without it. This key is intentionally never backed up to GitHub. +- `VM_BACKUP_TRIGGER_TOKEN`: independent random >=32-character token. It authorizes + backup enqueue/status only, through `X-VM-Backup-Token`. It grants no config, + inference, media or isolated-recovery-test privileges. `VM_ADMIN_TOKEN` retains + admin access and is never given to the coordinator. + +Keep provider credentials and app role tokens as before. They are excluded from +checkpoints and must be re-provisioned for a recreated Space. Configuration retains +only secret/endpoint environment-variable references; the environment values are +not recovered. If using a custom index path, it must equal the covered data/index. + +The supervisor runs recovery **before** importing ConfigStore, index or workers. +On an empty working root it selects the newest committed record, fetches and +decrypts only GitHub-hosted objects, checks every byte/hash, SQLite, config and +index coverage, and renames a sibling staging directory into place atomically. +Failure aborts startup. It never merges into or overwrites nonempty state and never +silently falls back from a corrupt latest checkpoint. To choose an earlier point, +use `python scripts/restore_state.py --destination /new/isolated-root --checkpoint +` with the same protected environment, then review before promotion. + +On a brand-new namespace with no checkpoint, startup refuses by default. A reviewed +first initialization may temporarily set `VM_BACKUP_ALLOW_EMPTY=true`; remove it +immediately after the first verified checkpoint. A namespace with prior data must +never use this escape hatch to conceal a recovery failure. + +## Triggers, administration and coordinator + +Backup requests occur on startup, accepted media upload, completed ingestion, +applied/rolled-back configuration, authenticated manual trigger and the resident +12-hour timer. The timer continues only while the Space process is running. It +cannot wake a sleeping Space and is **not** an independently durable scheduler. +The queue reports failure codes, attempt time, pending encrypted uploads, latest +successful checkpoint, inventory bytes including historical/orphan assets, restore +points, and last isolated recovery result. `/backups` is the administration panel; +server routes require administrator or the deliberately limited coordinator token. +The panel does not claim enqueue acceptance is backup success. + +`deploy/backup-repository/inactive-workflows/backup-12h.yml` runs at 00:17 and 12:17 +UTC (02:17/14:17 Berlin summer time; 01:17/13:17 Berlin winter time). It is outside +`.github/workflows` and cannot run. It also requires both `BACKUPS_APPROVED` and +`COORDINATOR_VALIDATED` to equal `true`, plus the protected `private-backup` +environment. No workflow is activated by source upload. + +The coordinator verifies Space privacy using the HF API, sends the scoped HF +bearer token through the private Space access boundary, and sends the independent +app trigger token in a separate header. It refuses redirects and unexpected URL +origins. It probes up to ten nominal minutes for a sleeping instance, then triggers +and waits for a **new completed checkpoint**, not just HTTP acceptance. Network +calls have timeouts and attempts are bounded; Actions has a 35-minute outer timeout. +A failed private route/wake/authentication test is a deployment blocker. Do not +replace it with a public Space, arbitrary proxy, app admin token or unauthenticated +export. The resident timer is a tested local fallback while awake only; it is not +claimed as a validated sleeping-Space alternative. + +## Limits, retention and recovery point objective + +Current application upload limit is 64 MiB/video, 30 minutes, 10k indexed segments. +Backup plaintext capacity is 20 GiB / 100k files. Capture needs free scratch space +at least the source size plus 64 MiB; source+snapshot and restore staging compete +with HF's 50 GB ephemeral allowance. Actual usable capacity is lower after image, +processing scratch and previous index revisions. Budget below 20 GiB, monitor +usage and fail explicitly at capacity. Objects are 16 MiB plus age overhead, +well below GitHub's 2 GiB per-asset limit. Uploads shard at 800 assets per release +to stay below the 1000-assets/release limit. GitHub release policy, API quotas, +Acceptable Use and private-account storage entitlements still need operator review; +release assets must not be assumed an unlimited general-purpose storage service. +Checkpoint metadata is sharded by namespace/year and refuses a 1000-entry listing; +rotate to a reviewed namespace before reaching that limit (12h plus event triggers +can reach it sooner than a year). No destructive retention is automated. + +Unchanged chunks cost no new payload assets, but dedup readback downloads referenced +ciphertext to ensure it still exists. Checkpoints add an encrypted manifest and a +small repository commit. A 64 MiB original plus 20 MiB proxy, 1 MiB images/transcript +and a 3 MiB index starts around 88 MiB; compressed media does not shrink under age. +At 100 similarly sized videos, media is roughly 8.5 GiB plus accumulated indexes. +A 10k x 768 float32 text matrix is 30.72 MB (29.30 MiB) per revision. Five views are +153.6 MB (146.48 MiB) per revision. Twenty retained single-view revisions add about +586 MiB, excluding JSON. Metadata-only edits upload only changed chunks and a new +manifest; changed full matrix files can upload most chunks again. + +Ephemeral disk losses can destroy uncheckpointed uploads. Event triggers reduce +but do not eliminate that window; backups are asynchronous and a sleeping Space +cannot expose lost disk to Actions. GitHub downtime, token expiry, key loss, disk +capacity and quotas can prevent recovery. Require a successful staging drill and +real sleep/wake run before asserting a 12-hour recovery objective. + +## Migration and activation + +Retain format-1 archives unchanged. They used external asset coverage and are not +self-contained format-2 checkpoints. Import their verified full restored data into +an isolated format-2 root while writers are stopped, then create and independently +recover a GitHub-native checkpoint before retiring external copies. Never delete +old assets as part of this refactor. Old helper functions remain only for format-1 +compatibility tests; the exporter and active external-source templates are retired. +Production activation checklist is in `github-backup-migration.md`. diff --git a/docs/credential-qualification.md b/docs/credential-qualification.md new file mode 100644 index 0000000000000000000000000000000000000000..4ddfb09b1ff25d58a94b2e1ad7d8ea83786669b3 --- /dev/null +++ b/docs/credential-qualification.md @@ -0,0 +1,106 @@ +# Dedicated credential qualification: NO-GO (18 October 2026) + +The dedicated secure binding is now present and reports ready. Every qualification +request in this run used **VM_BACKUP_GITHUB_TOKEN**. The integration-managed GH_TOKEN +was not substituted. No backup architecture or application code was changed. + +## Actual live results + +| Check | Result | +| --- | --- | +| Private backup repository read, api.github.com | 200; private=true, read/write reported | +| New disposable release creation, api.github.com | 201 | +| First small age-encrypted asset POST, uploads.github.com | **404**, one attempt | +| Uploaded assets / committed checkpoints | **0 / 0**, verified by read-only queries | +| Destructive recovery and incremental checkpoint | Blocked by upload failure | +| Trusted-machine comparison | Unavailable: no independent trusted machine attached | +| Secure HF credential | Absent; private staging remains unqualified | + +Upload request ID: `FE93:319F8B:36F88A:4FB435:6AD3F6B8`. +Disposable namespace: `test-recovery-20261017-745d0278` (the harness uses UTC host +clock naming; this qualification report uses the client Berlin date). +The new release is uncommitted and empty; no pre-existing release or checkpoint +was altered or deleted. No recurring workflow or production setting changed. + +The client used GitHub's returned upload_url, validated its destination and +attached the dedicated authorization header. A GitHub response/request ID proves +an HTTPS service response, not which credential the proxy ultimately forwarded. +The earlier missing-binding problem is resolved. The former integration-token 401 +is not reused as evidence about this token. The new 404 may conceal a private +resource/permission rejection or reflect credential propagation differences +between hosts. **Scope versus injection/proxy attribution remains undetermined.** +API release creation proves a successful write through that route; it does not +prove that the same upstream identity was used on the upload route. + +Evidence: + +- [Dedicated API probe](evidence/dedicated-token-api.json) +- [Current live upload/recovery attempt](evidence/github-recovery-live.json) +- [Qualification decision](evidence/credential-qualification.json) +- [Prior blocked attempt retained](evidence/github-recovery-prior-blocked.json) + +## Exact next step: trusted-machine comparison + +Use an independently trusted machine outside this managed proxy, provision the +**same permitted dedicated credential** there from its secure store, and check out +application branch feature/video-rag-mentor-v2. Do not export a proxy placeholder, +copy integration-managed credentials, paste credentials into chat, disable TLS, +or bypass this managed environment's network controls. + +With Python 3.12+, uv, FFmpeg and age/age-keygen available, run from the checkout: + +```sh +if [ -z "${VM_BACKUP_GITHUB_TOKEN:-}" ]; then + echo 'Dedicated backup credential required' >&2 + exit 2 +fi +uv run --frozen --group dev python tests/live_github_recovery.py +``` + +The guard prevents the harness's legacy GH_TOKEN fallback. The drill creates a new +disposable namespace and never deletes existing remote releases. Successful upload +continues to readback, committed checkpoints, unchanged incremental dedup and full +recovery after destroying local source/staging state, with fresh-process Library, +Search, config/index and media checks. Compare sanitized evidence JSON only. + +- Outside succeeds while managed fails: managed credential propagation or proxy + behavior is implicated; header stripping versus rewriting still needs trusted + proxy observability. Do not weaken or work around its security controls. +- Outside also fails: review the credential's resource owner, selected private + repository JsonLord/visual-mentor-backups, Contents read/write, Metadata read, + expiry and any applicable organization authorization. Matching failures alone + do not conclusively distinguish every GitHub policy/resource issue. + +Private staging package remains prepared at deploy/hf-staging/README.md. Secure HF +credentials are still absent, and the existing public Space remains unchanged. +**NO-GO for first private staging deployment** until a dedicated-token asset upload +and complete GitHub-only recovery succeed and private staging access is qualified. + + +## Standalone trusted-machine diagnostic prepared (18 October 2026) + +The independent standard-library probe is [qualify_github_release.py](../diagnostics/qualify_github_release.py). +It needs only Python and age/age-keygen; it imports no application code, reads only +VM_BACKUP_GITHUB_TOKEN, creates one unique test release, uses the returned validated +upload_url, and verifies encrypted asset SHA-256 by readback. Permanent HTTP errors +stop immediately without retries. Its new evidence filename is unique and existing +files are refused. All prior evidence above has been preserved. + +[Exact Linux and Windows instructions](../diagnostics/README.md) include a gated +full-recovery invocation after upload GO and archival of the existing recovery +report before the unchanged harness runs. Windows execution and an independent +trusted machine are not available in this managed Linux session. + +Four standalone stdlib unit tests passed: mocked successful readback/hash, removal +of authorization on signed redirects, no fallback to GH_TOKEN, evidence-overwrite +refusal, destination validation and permanent-rejection stopping. The managed live +probe again created a new synthetic test release successfully, but its first asset +upload returned 404. No asset ID/readback or complete recovery success is claimed. +The full destructive test was not run because its upload prerequisite did not pass. + +New evidence: [standalone probe JSON](evidence/standalone-probes/github-release-qualification-20261017T223752Z-a13651aa74504b7ca9a9a2f1f83e0100.json). +**Managed upload: NO-GO; full GitHub recovery: not run; first private staging: NO-GO.** +No backup code was refactored, deployment performed, workflow activated, or existing +release/checkpoint modified or deleted. The next action is to run this standalone +script on the trusted laptop/Debian server with the same securely provisioned token +and return its sanitized JSON, never the token or a proxy placeholder. diff --git a/docs/deployment-hf.md b/docs/deployment-hf.md new file mode 100644 index 0000000000000000000000000000000000000000..b680e06e29e8204cee355283b37225cd6d5adeb2 --- /dev/null +++ b/docs/deployment-hf.md @@ -0,0 +1,118 @@ +# Visual Mentor v2: private Hugging Face staging and rollback + +**Prepared only. No Space has been created, uploaded or modified.** Current +production target `Leon4gr45/openweb` is protected by explicit approval and a staging +UI review. No DGX/Needle/inference infrastructure change is required. + +## Local package and evidence + +Docker runs Node/Next.js and one FastAPI worker, supervised by `scripts/cloud-start.py`. +Only port **7860** is exposed. FastAPI binds loopback 8000. One authoritative +`web/next.config.ts` preserves `/api` and `/media`, with Range seeking and bounded +65MB proxy buffering for the application's 64MiB upload cap. Node/Python bases are +pinned. No torch, transformers, Whisper weights, CUDA runtime or GPU device is +required. FFmpeg/age are CPU media/encryption tools, not inference models. + +Build in this managed environment (session CA is mounted only during install): + +``` +BUILDX_CONFIG=/tmp/v2-buildx docker --host=unix:///var/run/docker.sock build \ + --secret id=build_ca,src=/etc/ssl/certs/ca-certificates.crt \ + -t video-rag-mentor:v2-review . +python scripts/qualify-release.py --image video-rag-mentor:v2-review +VM_RUNTIME_IMAGE=video-rag-mentor:v2-review python scripts/measure-runtime.py +``` + +These checks publish no host ports, run with network=none and a 2-vCPU/16GiB limit, +and remove their own containers/volumes. Qualification checks application bearer +roles, origin rejection, configuration CAS/rollback and volume recreation. A Docker +volume in a test is not evidence that HF supplies durable storage. + +## Configuration before staging + +Use HF Settings / Secrets (do not put values in YAML or browser bundles): + +- `VM_USER_TOKEN`, `VM_ADMIN_TOKEN`: separate random tokens, >=24 characters. + The user token opens private library/capture operations; admin token opens config + and backup status only. This is a shared-role app, not per-person accounts/SSO. +- `VM_ALLOWED_ORIGINS=https://`: exact external origin. +- `VM_ALLOWED_HOSTS`: exact approved inference hostnames only. +- `VRAG_DATA=/app/work/data`, `VM_STATE_DIR=/app/work/state`; default index under + `/app/work/data/index`. Configure GitHub-native backup and protected age identity + as documented in backup-restore.md; the working disk remains ephemeral. +- `LAYA_BASE_URL` is the router root; OpenAI-compatible VLM/embedding/Whisper + base URLs generally include `/v1`. Credential environment references are the + exact `api_key_secret` fields in the reviewed profile. Do not assume all endpoints + share a protocol or that NVIDIA's public API implements this `/detect` gateway. +- Backup settings, protected trigger and empty-state startup recovery: see + [backup-restore.md](backup-restore.md). No plaintext export is exposed. +- Decide whether answer-history persistence (`VRAG_SAVE_ANSWERS`) is permitted. + Persisted answer history is included in encrypted GitHub checkpoints; review its + privacy scope and opt out of local history if required. + +All profile examples are disabled until model IDs, endpoints, capabilities, +privacy trust and credentials are explicitly verified. Active placeholder IDs are +rejected. Load/import YAML, review form/diff, validate, then apply using the current +revision. Credentials remain server-only references. Transcripts/keyframes uploaded +through Import may be sent to the selected authorized providers. + +## Mandatory approval and external gates + +1. Approve a **private staging** Space (proposed `Leon4gr45/openweb-v2-staging`), + GitHub backup storage budget and recovery integration. Obtain a fine-grained HF + identity limited to intended repos. The current environment has no configured HF + identity; openweb source, visibility, settings and screenshots were not inspected. +2. Before touching production, snapshot the existing Space Git revision, settings + inventory (secret names only), private access policy and all data. Verify restore. +3. Qualify GitHub-native encrypted release assets and repository checkpoints as the + sole recovery store. HF CPU Basic has 50GB ephemeral disk; no persistent mount + or external object store is required. Complete the live GitHub destructive + recovery drill and private Actions sleep/wake test in backup-restore.md. +4. Review `docs/v2-evidence/main/` against current Playwright screenshots. Confirm + original workflows remain recognizable at desktop/laptop/tablet/mobile sizes. +5. With explicit staging approval, create a private Docker Space and upload the + reviewed source, using the official SDK and environment-provisioned HF_TOKEN: + +```python +import os +from huggingface_hub import HfApi +api = HfApi(token=os.environ['HF_TOKEN']) +repo = 'Leon4gr45/openweb-v2-staging' # approved staging name +api.create_repo(repo_id=repo, repo_type='space', space_sdk='docker', private=True) +api.upload_folder( + repo_id=repo, repo_type='space', folder_path='.', + allow_patterns=['README.md', 'Dockerfile', 'requirements-runtime.txt', + 'vrag/**', 'config/**', 'scripts/cloud-start.py', 'web/**'], + ignore_patterns=['**/.env*', '**/*.pem', '**/*.key', '**/*.agekey', '**/*.age', + '**/__pycache__/**', '**/node_modules/**', '**/.next/**', + 'web/tests/**', 'web/test-results/**', 'web/playwright-report/**'], + commit_message='Stage reviewed Video RAG Visual Mentor v2', +) +``` + +6. Configure secrets/variables in staging, select CPU Basic (2 vCPU/16GB), inspect + logs and health. Verify actual Space privacy by anonymous page/API/media requests; + verify logged-in access with app user/admin roles and no access cross-over. + Exercise `/`, `/search`, `/ask`, `/experiments`, `/architecture`, detail/clip Range + seeking, `/live` and `/models`. Public sample assets are synthetic but still sit + behind the private HF page/access boundary. +7. From a physical laptop browser over HTTPS, test laptop + USB simultaneous + selection, permission denial/contention, disconnect, hidden-tab cleanup and + stale results. Verify each real provider and costs using approved media only. + Run real upload→Whisper→segments→embeddings→Search/Ask and verify citations/playback. +8. Recreate staging and restore all media/index/configuration from GitHub alone + with the protected age key. Confirm a real recent checkpoint survives Space + recreation. Mock transport tests alone do not pass this gate. +9. Present actual staging screenshots, provider test table, storage/backup/restore + history and performance; obtain explicit approval before changing openweb. + +## Controlled production switch / rollback + +Save the existing production Space commit and tested GitHub checkpoint IDs before +upload. Obtain UI and deployment approval. Deploy the reviewed v2 source using the +same procedure targeted at openweb; do not merge the deployment PR wholesale. +Keep previous image/source and compatible snapshot available. On failure, pause +writes, restore the previous Space revision and point at an isolated verified +compatible state snapshot. Do not overwrite current data by automated restore or +run the legacy `serve/` scripts. Recheck private access, API/media and clips after +rollback. Production promotion and rollback execution are operator actions. diff --git a/docs/evidence/backend-tests.txt b/docs/evidence/backend-tests.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac7913981a3f4909a7c498143792c0f4c814b5b0 --- /dev/null +++ b/docs/evidence/backend-tests.txt @@ -0,0 +1,9 @@ +........................................................................ [ 66%] +..................................... [100%] +=============================== warnings summary =============================== +../visual-mentor-venv/lib/python3.12/site-packages/fastapi/testclient.py:1 + /workspace/visual-mentor-venv/lib/python3.12/site-packages/fastapi/testclient.py:1: StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; install `httpx2` instead. + from starlette.testclient import TestClient as TestClient # noqa + +-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html +109 passed, 1 warning in 9.64s diff --git a/docs/evidence/browser-administration.txt b/docs/evidence/browser-administration.txt new file mode 100644 index 0000000000000000000000000000000000000000..33ca45870db4850c6dc9a7c4a25dc84d3670b1b8 --- /dev/null +++ b/docs/evidence/browser-administration.txt @@ -0,0 +1,14 @@ + +Running 2 tests using 1 worker + +(node:65537) Warning: The 'NO_COLOR' env is ignored due to the 'FORCE_COLOR' env being set. +(Use `node --trace-warnings ...` to show where the warning was created) + ✓ 1 tests/backups.spec.ts:3:5 › backup administration distinguishes acceptance from verified completion (2.0s) + ✓ 2 tests/backups.spec.ts:21:5 › backup administration handles denied access (2.8s) + + 2 passed (8.6s) +npm notice +npm notice New major version of npm available! 11.9.0 -> 12.2.0 +npm notice Changelog: https://github.com/npm/cli/releases/tag/v12.2.0 +npm notice To update run: npm install -g npm@12.2.0 +npm notice diff --git a/docs/evidence/browser-regression.txt b/docs/evidence/browser-regression.txt new file mode 100644 index 0000000000000000000000000000000000000000..abcab47f80256e4641a16ca6e43c15bd7c4c80db --- /dev/null +++ b/docs/evidence/browser-regression.txt @@ -0,0 +1,29 @@ + +Running 17 tests using 1 worker + +(node:63329) Warning: The 'NO_COLOR' env is ignored due to the 'FORCE_COLOR' env being set. +(Use `node --trace-warnings ...` to show where the warning was created) + ✓ 1 tests/live.spec.ts:2:5 › dual simulated previews require explicit transfer and stop on navigation (4.5s) + ✓ 2 tests/live.spec.ts:63:5 › models studio validates and atomically switches a profile (1.4s) + ✓ 3 tests/parity.spec.ts:10:7 › original UI desktop (8.3s) + ✓ 4 tests/parity.spec.ts:10:7 › original UI laptop (6.7s) + ✓ 5 tests/parity.spec.ts:10:7 › original UI tablet (9.9s) + ✓ 6 tests/parity.spec.ts:10:7 › original UI mobile (9.5s) + ✓ 7 tests/parity.spec.ts:48:5 › clip and citation interactions (1.8s) + ✓ 8 tests/release.spec.ts:11:5 › permission denial shows an error without uploading (878ms) + ✓ 9 tests/release.spec.ts:19:7 › rejects frame mismatch and permits a later matching observation (1.2s) + ✓ 10 tests/release.spec.ts:19:7 › rejects config mismatch and permits a later matching observation (1.2s) + ✓ 11 tests/release.spec.ts:19:7 › rejects dimensions mismatch and permits a later matching observation (1.2s) + ✓ 12 tests/release.spec.ts:19:7 › rejects box mismatch and permits a later matching observation (1.2s) + ✓ 13 tests/release.spec.ts:46:5 › stopping a camera discards its delayed result (1.2s) + ✓ 14 tests/release.spec.ts:59:5 › a pending camera permission grant after navigation stops the returned tracks (3.1s) + ✓ 15 tests/release.spec.ts:72:5 › device contention is reported and track end stops the preview (1.0s) + ✓ 16 tests/release.spec.ts:84:5 › hiding the page stops microphone capture without uploading audio (1.1s) + ✓ 17 tests/release.spec.ts:98:5 › recorder errors release microphone tracks and discard audio (1.0s) + + 17 passed (1.0m) +npm notice +npm notice New major version of npm available! 11.9.0 -> 12.2.0 +npm notice Changelog: https://github.com/npm/cli/releases/tag/v12.2.0 +npm notice To update run: npm install -g npm@12.2.0 +npm notice diff --git a/docs/evidence/credential-qualification.json b/docs/evidence/credential-qualification.json new file mode 100644 index 0000000000000000000000000000000000000000..eaaac21c3ef597da7bd858a3eb358413c31f5fe2 --- /dev/null +++ b/docs/evidence/credential-qualification.json @@ -0,0 +1,47 @@ +{ + "observed_at": "2026-10-17T22:10:28.212207+02:00", + "application_commit": "c229b819f5f68236781876ad3d7865cd501df16e", + "backup_repository_commit": "17fbad6c0bd00d36258f2376d2e8b9547e3727d2", + "credential_source_required": "VM_BACKUP_GITHUB_TOKEN", + "dedicated_variable_present": true, + "saved_credential_binding_present": true, + "declared_credential_destinations": [ + "api.github.com", + "uploads.github.com" + ], + "integration_credential_substituted": false, + "api_permission_test": "private repository GET 200; disposable release POST 201", + "encrypted_release_asset_test": "uploads.github.com POST 404; one attempt", + "trusted_machine_comparison": "not_run_no_attached_trusted_machine", + "destructive_live_recovery": "not_run_upload_rejected_before_commit", + "attribution": { + "established_blocker": "encrypted release asset upload rejected with HTTP 404", + "credential_scope": "undetermined across upload destination", + "credential_injection": "undetermined", + "network_proxy_behavior": "HTTPS response received with GitHub request ID; credential forwarding not observable" + }, + "hf_credential_present": false, + "private_staging_preparation": "existing_deploy/hf-staging_package_available; authenticated_qualification_blocked", + "staging_deployment_decision": "NO-GO", + "recurring_workflows_activated": false, + "production_changed": false, + "releases_created_modified_or_deleted": false, + "architecture_changed": false, + "latest_recheck": { + "client_date": "2026-10-18", + "timezone": "Europe/Berlin", + "dedicated_variable_present": true, + "saved_credential_binding_present": true, + "integration_credential_substituted": false, + "api_status": 200, + "release_creation_status": 201, + "asset_upload_status": 404, + "upload_attempts": 1, + "uploaded_assets": 0, + "committed_checkpoints": 0, + "request_id": "FE93:319F8B:36F88A:4FB435:6AD3F6B8" + }, + "checked_on": "2026-10-18", + "credential_readiness": "ready", + "current_live_evidence": "github-recovery-live.json" +} diff --git a/docs/evidence/dedicated-token-api.json b/docs/evidence/dedicated-token-api.json new file mode 100644 index 0000000000000000000000000000000000000000..7545cddc6b4d14e07d5d88147146cb9806e82a65 --- /dev/null +++ b/docs/evidence/dedicated-token-api.json @@ -0,0 +1,28 @@ +{ + "credential_source": "VM_BACKUP_GITHUB_TOKEN", + "http": { + "method": "GET", + "host": "api.github.com", + "status": 200, + "headers": { + "x-github-request-id": "80E9:137167:4D2D1:F8EC7:6AD3F69C", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14976", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "metadata=read", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + "private": true, + "permissions": { + "admin": true, + "maintain": true, + "push": true, + "triage": true, + "pull": true + } +} diff --git a/docs/evidence/github-auth-probe.json b/docs/evidence/github-auth-probe.json new file mode 100644 index 0000000000000000000000000000000000000000..2be5a53bbf727deec2c408745f511d53f3d9716a --- /dev/null +++ b/docs/evidence/github-auth-probe.json @@ -0,0 +1,79 @@ +{ + "observations": [ + { + "method": "GET", + "host": "api.github.com", + "path": "/user", + "credential_source": "GH_TOKEN", + "client_authorization_attached": true, + "status": 200, + "headers": { + "x-github-request-id": "9690:32E8B7:DBB396:2C7BB5A:6AD3D3BD", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14923", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "allows_permissionless_access=true", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + } + }, + { + "method": "GET", + "host": "api.github.com", + "path": "/repos/JsonLord/visual-mentor-backups", + "credential_source": "GH_TOKEN", + "client_authorization_attached": true, + "status": 200, + "headers": { + "x-github-request-id": "3DF2:319386:45059D:E020B0:6AD3D3BE", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14922", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "metadata=read", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + } + }, + { + "method": "GET", + "host": "uploads.github.com", + "path": "/", + "credential_source": "GH_TOKEN", + "client_authorization_attached": true, + "status": 302, + "headers": { + "x-github-request-id": "2E62:2F9DB5:A7FA8:C8D62:6AD3D3BE", + "server": "envoy" + } + }, + { + "method": "GET", + "host": "huggingface.co", + "path": "/api/spaces/Leon4gr45/openweb", + "credential_source": "anonymous", + "client_authorization_attached": false, + "status": 200, + "headers": { + "content-type": "application/json; charset=utf-8", + "server": "envoy", + "via": "1.1 eb382ff675fc4a4551773e2e1657c302.cloudfront.net (CloudFront)" + } + }, + { + "method": "GET", + "host": "leon4gr45-openweb.hf.space", + "path": "/api/admin/backup-status", + "credential_source": "anonymous", + "client_authorization_attached": false, + "status": 404, + "headers": { + "content-type": "application/json", + "server": "envoy" + }, + "error_code": "remote_error" + } + ], + "proxy_interior_authorization": "not observable; no credential extraction or interception performed" +} diff --git a/docs/evidence/github-backup-results.json b/docs/evidence/github-backup-results.json new file mode 100644 index 0000000000000000000000000000000000000000..0f7fd44ab07ab72b2742d356bd72d58e44d62962 --- /dev/null +++ b/docs/evidence/github-backup-results.json @@ -0,0 +1,55 @@ +{ + "date": "2026-10-17", + "backend": { + "passed": 109, + "encryption": "real age CLI", + "sqlite": "real online snapshots", + "media": "real FFmpeg-generated video", + "github_transport": "mocked for successful recovery tests" + }, + "browser": { + "existing_parity_camera_routing_passed": 17, + "backup_administration_passed": 2, + "providers_and_hardware": "mocked or simulated" + }, + "frontend": { + "production_build": "passed", + "lint_errors": 0, + "existing_lint_warnings": 1 + }, + "live_github": { + "private_repository_verified": true, + "release_creation": "passed", + "release_tag": "vm-test-recovery-20261017-deae94ff-20261017T173832-f8cd66db742745159168b741ea1a751e", + "asset_upload": "blocked: HTTP 401 Bad credentials from uploads.github.com", + "committed_recovery_checkpoints": 0, + "complete_github_only_recovery": "NOT VERIFIED", + "existing_backups_overwritten": false + }, + "private_space": { + "identity": "Leon4gr45/openweb", + "origin": "https://leon4gr45-openweb.hf.space", + "probe": "blocked by network proxy policy", + "hf_test_credential_present": false, + "actions_private_reachability": "NOT VERIFIED", + "sleep_wake": "NOT VERIFIED", + "production_scheduling_activated": false, + "deployment_modified": false + }, + "alternative": { + "resident_timer": "mock-clock branch and bounded retry/health tests passed", + "sleeping_space_wake": "not provided or claimed" + }, + "live_qualification_followup": { + "backend_passed": 116, + "backup_tests_passed": 20, + "upload_url": "GitHub-returned template; validated exact destination", + "upload_authentication": "401 once; no retry", + "upload_clients": "HTTPX Bearer, HTTPX token, native gh all 401 using GH_TOKEN", + "proxy_header_forwarding": "not observable; cannot establish strip versus rewrite", + "github_recovery": "blocked; zero assets and no committed checkpoint", + "production_space_private": false, + "private_staging": "prepared, not deployed; missing HF credential", + "production_scheduling_activated": false + } +} diff --git a/docs/evidence/github-recovery-live.json b/docs/evidence/github-recovery-live.json new file mode 100644 index 0000000000000000000000000000000000000000..95e5986a3c639db26843608878728d1f04a22665 --- /dev/null +++ b/docs/evidence/github-recovery-live.json @@ -0,0 +1,132 @@ +{ + "live": true, + "status": "blocked", + "namespace": "test-recovery-20261017-745d0278", + "repository": "JsonLord/visual-mentor-backups", + "credential_source": "VM_BACKUP_GITHUB_TOKEN", + "http_events": [ + { + "method": "GET", + "host": "api.github.com", + "status": 200, + "headers": { + "x-github-request-id": "B7AE:25708C:84BF5C:1B16D75:6AD3F6B6", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14958", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "metadata=read", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + { + "method": "GET", + "host": "api.github.com", + "status": 404, + "headers": { + "x-github-request-id": "41CF:1D584D:F1627F:3129345:6AD3F6B6", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14957", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "contents=read", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + { + "method": "GET", + "host": "api.github.com", + "status": 404, + "headers": { + "x-github-request-id": "8F54:18C49:4101B:D3AE7:6AD3F6B6", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14956", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "contents=read", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + { + "method": "POST", + "host": "api.github.com", + "status": 201, + "headers": { + "x-github-request-id": "5146:2519A0:67DC3:153C3C:6AD3F6B7", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14989", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "contents=write; contents=write,workflows=write", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + { + "method": "GET", + "host": "api.github.com", + "status": 200, + "headers": { + "x-github-request-id": "41CF:1D584D:F16D27:312B69F:6AD3F6B6", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14988", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "contents=read", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + { + "method": "POST", + "host": "uploads.github.com", + "status": 404, + "headers": { + "x-github-request-id": "FE93:319F8B:36F88A:4FB435:6AD3F6B8", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + } + ], + "fixture_file_hashes": { + "state/config-history.json": "fc54a50cefc2d5955a43999a8f287dea13f432a53b379e3620986984a4862d29", + "data/jobs.sqlite": "61ea188727defa04c534eb336ee7781ea36583ff97205361f8b182bee574469c", + "data/index/CURRENT": "3ba3f5f43b92602683c19aee62a20342b084dd5971ddd33808d81a328879a547", + "data/answers/history.jsonl": "24286a82bed379831e51587c4928b22fac236936ae7bdbfaf4af4b65d33cc96c", + "data/videos/v1/video.mp4": "bc616d8ada2b297f447e74ba212cc84f05a03345070d4145a62c0bfe3b5cb848", + "data/videos/v1/transcript.json": "4a8fb2f5a7707c7e0ae59b3f649c684e186511e32308bed8c608562014894d22", + "data/videos/v1/thumb.jpg": "8a2404e720bb32c6430c4772e8d2a866a87662b1969395927c1aeef2b79b7566", + "data/videos/v1/segments.json": "016ce6672b25eacc268d418b6d0a161a7fa2a7396cfd3543e53d1938a40a4809", + "data/videos/v1/original": "bc616d8ada2b297f447e74ba212cc84f05a03345070d4145a62c0bfe3b5cb848", + "data/videos/v1/meta.json": "ec593249ce82f4928a210ae42105d0678c7993847ab52468a37e28263bae6d16", + "data/videos/v1/segments/000.jpg": "8a2404e720bb32c6430c4772e8d2a866a87662b1969395927c1aeef2b79b7566", + "data/index/revisions/aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/text.npy": "770eebe4eb273d2e066dcf9e6085d73c43192b2a4d6a0bd191759e6745bdf507", + "data/index/revisions/aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/segments.json": "016ce6672b25eacc268d418b6d0a161a7fa2a7396cfd3543e53d1938a40a4809", + "data/index/revisions/aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/manifest.json": "d380ed784acc1640825dba8528743125483af0f32d1cf327970edcc03b582b70" + }, + "failure_code": "github_request_rejected", + "status_code": 404, + "failure_host": "uploads.github.com", + "request_id": "FE93:319F8B:36F88A:4FB435:6AD3F6B8", + "committed_checkpoints": 0, + "first_checkpoint": null, + "recovery_verified": false, + "uncommitted_release_tag": "vm-test-recovery-20261017-745d0278-20261017T222910307870749-6b71d153db4944d590521b43e3cb4eb1", + "release_id": 416107443, + "asset_count": 0, + "namespace_checkpoint_exists": false +} diff --git a/docs/evidence/github-recovery-prior-blocked.json b/docs/evidence/github-recovery-prior-blocked.json new file mode 100644 index 0000000000000000000000000000000000000000..509536c2606087422f33c5f92a13aca494b59257 --- /dev/null +++ b/docs/evidence/github-recovery-prior-blocked.json @@ -0,0 +1,115 @@ +{ + "live": true, + "status": "blocked", + "namespace": "test-recovery-20261017-937e26ae", + "repository": "JsonLord/visual-mentor-backups", + "credential_source": "GH_TOKEN", + "http_events": [ + { + "method": "GET", + "host": "api.github.com", + "status": 200, + "headers": { + "x-github-request-id": "8E2E:1BB071:2286C:711C7:6AD3D411", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14921", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "metadata=read", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + { + "method": "GET", + "host": "api.github.com", + "status": 404, + "headers": { + "x-github-request-id": "77B1:3FD457:FABDAE:341D926:6AD3D411", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14920", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "contents=read", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + { + "method": "GET", + "host": "api.github.com", + "status": 404, + "headers": { + "x-github-request-id": "9E38:15CAE4:251FB:79F1E:6AD3D412", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14919", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "contents=read", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + { + "method": "POST", + "host": "api.github.com", + "status": 201, + "headers": { + "x-github-request-id": "F605:363BB9:DDC6D8:2CF6533:6AD3D412", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14999", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "contents=write; contents=write,workflows=write", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + { + "method": "GET", + "host": "api.github.com", + "status": 200, + "headers": { + "x-github-request-id": "77B1:3FD457:FAC77F:341F981:6AD3D412", + "x-github-api-version-selected": "2022-11-28", + "x-ratelimit-limit": "15000", + "x-ratelimit-remaining": "14998", + "x-ratelimit-resource": "core", + "x-accepted-github-permissions": "contents=read", + "x-oauth-scopes": "", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + }, + { + "method": "POST", + "host": "uploads.github.com", + "status": 401, + "headers": { + "x-github-request-id": "FD3D:10E5C1:CD4E9:E9D17:6AD3D414", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true + } + ], + "failure_code": "github_authentication_failed", + "status_code": 401, + "failure_host": "uploads.github.com", + "request_id": "FD3D:10E5C1:CD4E9:E9D17:6AD3D414", + "committed_checkpoints": 0, + "recovery_verified": false, + "uncommitted_release_tag": "vm-test-recovery-20261017-937e26ae-20261017T200121863305766-33b55696676543a781ab99b712d7bf15", + "release_id": 416029153, + "asset_count": 0, + "namespace_checkpoint_lookup_status": 404 +} diff --git a/docs/evidence/github-upload-client-comparison.json b/docs/evidence/github-upload-client-comparison.json new file mode 100644 index 0000000000000000000000000000000000000000..a9ed548c3237f17f8fcec20cb6e196e45d4e6dfc --- /dev/null +++ b/docs/evidence/github-upload-client-comparison.json @@ -0,0 +1,32 @@ +{ + "observations": [ + { + "method": "POST", + "host": "uploads.github.com", + "status": 401, + "headers": { + "x-github-request-id": "4CD7:31E81D:C5069:E70BE:6AD3D43C", + "content-type": "application/json; charset=utf-8", + "server": "envoy" + }, + "client_authorization_attached": true, + "client": "httpx", + "auth_scheme": "token", + "credential_source": "GH_TOKEN" + }, + { + "client": "gh", + "host": "uploads.github.com", + "method": "POST", + "status": 401, + "exit_code": 1, + "headers": { + "content-type": "application/json; charset=utf-8", + "server": "envoy", + "x-github-request-id": "ADAA:355B8B:2A3FE2:3F6FD8:6AD3D43D" + }, + "credential_source": "GH_TOKEN" + } + ], + "conclusion": "Client-side header attachment confirmed for HTTPX; proxy-side header contents are not observable. Current host-scoped credential propagation remains unverified." +} diff --git a/docs/evidence/hf-space-observation.json b/docs/evidence/hf-space-observation.json new file mode 100644 index 0000000000000000000000000000000000000000..28bd9f54ca5ce2d971338f617ad630890bea8d32 --- /dev/null +++ b/docs/evidence/hf-space-observation.json @@ -0,0 +1,17 @@ +{ + "production_space": "Leon4gr45/openweb", + "metadata_status": 200, + "private": false, + "sdk": "docker", + "sha": "5a12f98129417859ebddae6d7e74ca4a8d3dd5e4", + "runtime_stage": "RUNNING", + "hardware": { + "current": "cpu-basic", + "requested": "cpu-basic" + }, + "production_modified": false, + "staging_target": "Leon4gr45/openweb-v2-staging", + "anonymous_staging_metadata_status": 401, + "staging_exists": "unverified without authorized HF access", + "staging_deployed": false +} diff --git a/docs/evidence/live-qualification-backend-tests.txt b/docs/evidence/live-qualification-backend-tests.txt new file mode 100644 index 0000000000000000000000000000000000000000..8cd073b2b675612408be87bbf4444605d4b7fcaf --- /dev/null +++ b/docs/evidence/live-qualification-backend-tests.txt @@ -0,0 +1,9 @@ +........................................................................ [ 62%] +............................................ [100%] +=============================== warnings summary =============================== +../visual-mentor-venv/lib/python3.12/site-packages/fastapi/testclient.py:1 + /workspace/visual-mentor-venv/lib/python3.12/site-packages/fastapi/testclient.py:1: StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; install `httpx2` instead. + from starlette.testclient import TestClient as TestClient # noqa + +-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html +116 passed, 1 warning in 9.43s diff --git a/docs/evidence/private-staging-live.json b/docs/evidence/private-staging-live.json new file mode 100644 index 0000000000000000000000000000000000000000..801480ec99915a0a60cd8d24001c9d276f37a9b1 --- /dev/null +++ b/docs/evidence/private-staging-live.json @@ -0,0 +1,8 @@ +{ + "status": "blocked", + "private_boundary_verified": false, + "checkpoint_verified": false, + "sleep_wake_verified": false, + "failure_code": "missing_secure_staging_credentials", + "http_events": [] +} diff --git a/docs/evidence/standalone-probes/github-release-qualification-20261017T223752Z-a13651aa74504b7ca9a9a2f1f83e0100.json b/docs/evidence/standalone-probes/github-release-qualification-20261017T223752Z-a13651aa74504b7ca9a9a2f1f83e0100.json new file mode 100644 index 0000000000000000000000000000000000000000..b1059d3c9dc18ef26020e5a43855013982be98bf --- /dev/null +++ b/docs/evidence/standalone-probes/github-release-qualification-20261017T223752Z-a13651aa74504b7ca9a9a2f1f83e0100.json @@ -0,0 +1,44 @@ +{ + "run_id": "20261017T223752Z-a13651aa74504b7ca9a9a2f1f83e0100", + "repository": "JsonLord/visual-mentor-backups", + "credential_source": "VM_BACKUP_GITHUB_TOKEN", + "status": "failed", + "upload_decision": "NO-GO", + "staging_decision": "NO-GO", + "contents_write_verified": true, + "asset_readback_verified": false, + "http_events": [ + { + "host": "api.github.com", + "method": "GET", + "status": 200, + "request_id": "B7D9:353E69:DAF87:2CA245:6AD3F8C0", + "authenticated": true, + "accepted_permissions": "metadata=read" + }, + { + "host": "api.github.com", + "method": "POST", + "status": 201, + "request_id": "E502:35277:C81D0:28AAFC:6AD3F8C0", + "authenticated": true, + "accepted_permissions": "contents=write; contents=write,workflows=write" + }, + { + "host": "uploads.github.com", + "method": "POST", + "status": 404, + "request_id": "8FF6:3E5B5B:35838A:4E7443:6AD3F8C1", + "authenticated": true, + "accepted_permissions": null + } + ], + "recovery_run": false, + "production_or_workflows_changed": false, + "local_age_roundtrip_verified": true, + "private_repository_verified": true, + "repository_push_permission_reported": true, + "release_id": 416110789, + "release_tag": "vm-credential-test-20261017T223752Z-a13651aa74504b7ca9a9a2f1f83e0100", + "failure_code": "http_rejected_404" +} diff --git a/docs/github-backup-migration.md b/docs/github-backup-migration.md new file mode 100644 index 0000000000000000000000000000000000000000..81365046f849c743b37f29b37f4ada5e5fd42d1e --- /dev/null +++ b/docs/github-backup-migration.md @@ -0,0 +1,294 @@ +# GitHub-native backup migration qualification — 17 October 2026 + +**Implementation prepared; activation is blocked.** No production Space deployment, +secret provisioning, scheduling activation, existing-backup overwrite or DGX service +change was performed. The source changes are on `feature/video-rag-mentor-v2`; backup +coordinator source is on private backup `main`, outside `.github/workflows`. + +## Architectural change + +The old design required an immutable external store snapshot plus separately stored +media. The new runtime operates on HF CPU Basic ephemeral files, creates consistent +SQLite/config/index/media snapshots, encrypts content-addressed chunks with age, +and uses private GitHub release assets plus atomic repository checkpoint records +as its sole persistent recovery source. No S3, R2, rclone or HF persistent disk is +required. The original Library/Search/Ask/Experiments/Architecture/detail/live/model +routes remain; a backup admin panel is added at `/backups`. + +The backup repository now coordinates the Space instead of fetching external data. +The Space holds a scoped GitHub writer and age recovery key; Actions holds only a +scoped HF access token and limited backup-trigger token. This avoids giving the +coordinator configuration/media/inference administrator privileges. Encryption is +performed inside the Space before GitHub transmission, including the recovery +manifest. Only operational ciphertext references/timing/size metadata is public to +the private repository and GitHub itself. + +The activation runbook and estimates are in [backup-restore.md](backup-restore.md). +Format-1 snapshots are retained unchanged and never automatically reinterpreted. +Existing data must first be independently restored and imported into a format-2 +working root. No automated pruning or history rewriting is included. + +## Evidence and its limits + +Machine-readable summary: [github-backup-results.json](evidence/github-backup-results.json). + +| Check | Result | Evidence boundary | +| --- | --- | --- | +| Backend regression suite | 109 passed | Real CPU media, SQLite and age; provider calls mocked | +| New backup tests | 13 passed (included above) | Successful GitHub storage transport mocked | +| Destructive complete-library recovery | Passed locally | Generated video, original/proxy/frame/thumbnail, transcript, segments, SQLite row, saved answer history, config history, versioned vector index; delete source + capture stage, recover only encrypted mock remote assets + key, compare all file hashes | +| Fresh application startup | Passed locally | Separate Python interpreter loads recovered ConfigStore and index and serves protected library endpoint; no stale in-memory state | +| Incremental backup | Passed locally | Identical original/proxy chunks share objects; unchanged second checkpoint uploads manifest only | +| Safety/failure behavior | Passed locally | Partial upload publishes no record, corrupt/missing objects block restore, wrong key publishes nothing, invalid index/unknown state fail, existing roots are not overwritten; mocked documented HTTP endpoints and cross-origin credential stripping pass | +| Protected administration | Passed locally | Missing/wrong role denied, coordinator token scoped to enqueue/status, browser-origin coordinator rejected | +| Timer and retries | Passed simulated clock | Exercises 12-hour timeout branch, three snapshot attempts, status and zero pending uploads; does not simulate a platform sleep/wake | +| Frontend build/lint | Passed | One existing unused-variable warning in Architecture; zero lint errors | +| Browser parity/camera/routing | 17 passed | Screenshot comparisons and mock API/simulated devices, not physical camera/provider integrations | +| Backup administration browser | 2 passed | Mock status and trigger endpoints; displays actual reported status and distinguishes acceptance from completion | +| GitHub private metadata | Passed live | Repository private; release creation succeeds with existing identity | +| GitHub encrypted asset upload | **Blocked live** | `uploads.github.com` responds 401 Bad credentials; no recovery record committed | +| Private HF reachability | **Blocked live** | Both HF metadata and `leon4gr45-openweb.hf.space` rejected by current network proxy policy; HF test credential absent | +| Actions wake/completion | **Not run / not established** | No deployed trigger on staging, no validated private access route, no activated workflow | + +The unsuccessful live attempt created one empty, uniquely named test release: +`vm-test-recovery-20261017-deae94ff-20261017T173832-f8cd66db742745159168b741ea1a751e`. +It is not a checkpoint. No original user data or private credentials were uploaded. +The attempted ciphertext upload and a synthetic header-only diagnostic both failed +with 401. No production namespace was written and old assets were not deleted. + +The environment draft now preserves existing domains and adds API/upload/signed +release hosts plus `huggingface.co` and the exact supplied Space origin. It also +records scoped `VM_BACKUP_GITHUB_TOKEN` and optional `HF_SPACE_TOKEN` requirements. +Saving this draft did not apply or publish it, provision credentials, or change HF +settings. Review/save and publish the environment configuration to apply access. +Do not paste tokens into chat. GitHub API access alone does not establish upload +host credentials; both routes must be tested using the same authorized identity. + +## Scheduling decision + +The inactive Actions template has 00:17/12:17 UTC schedule and manual dispatch, +concurrency and outer timeout. It requires explicit approval plus validated private +routing; it checks HF metadata privacy, uses HF bearer authentication and separate +app trigger header, then polls for a newly completed checkpoint. YAML existence +and a 202-style enqueue response are never reported as schedule success. + +The local resident timer and important-state-change triggers are implemented and +covered with mock-clock/local tests. They run only while the Space is awake. They +are useful as a local fallback but cannot meet a sleeping-Space wake guarantee. +No secure alternative wake path is validated in this environment. Reliable +12-hour scheduling remains blocked pending a real private staging sleep/wake test. +The implementation does not create a public endpoint, restart the Space, change +hardware, buy persistent storage or expose additional ports to evade that blocker. + +## Capacity estimate + +Example 64 MiB original + 20 MiB proxy + 1 MiB transcript/images + 3 MiB index: +approximately 88 MiB initial encrypted storage. One hundred similar videos: +roughly 8.5 GiB media plus index revisions/manifests. A 10k x 768 float32 view is +29.30 MiB; five views are 146.48 MiB/revision. Twenty single-view revisions add +about 586 MiB. Age adds small framing overhead and does not compress media. +A configuration-only change uploads changed chunks and a small encrypted manifest; +unchanged chunks are reused but read back for coverage. Older removed/reintroduced +chunks may upload again because the dedup catalog is the preceding manifest. + +Enforce 20 GiB / 100k-file plaintext ceiling and source-size + 64 MiB free scratch +preflight. HF's 50 GB includes app, active files, processing and backup/restore +staging. Keep operational usage below the theoretical limit. Check GitHub account +quotas and release-asset acceptable use before treating the estimate as approval. +GitHub listings fail closed at capacity instead of silently dropping files; rotate +reviewed namespaces before a year shard reaches 1000 records. No deletion is automatic. + +## Activation checklist — requires separate production approval + +1. Review the two commits and storage/key policy; keep all existing backup data. +2. Apply the saved environment network settings. Provision a fine-grained private + repository token in secure settings with Contents read/write, authenticated on + **both** API and uploads hosts. Provision read-only HF access for the supplied + private Space. Do not provide a broad app administrator token to Actions. +3. Rerun `AGE_BIN=/path/to/age python tests/live_github_recovery.py`. It creates a + fresh `test-recovery-*` namespace, backs up real generated video/index/config, + checks unchanged dedup, destroys source + snapshot stage, starts a fresh Python + application instance and recovers using GitHub + protected ephemeral test key. + Require `docs/evidence/github-recovery-live.json` with all hashes matching. + The protected test key is deleted at drill end; test assets are disposable and + must never be mistaken for production recovery points. +4. Obtain staging deployment approval. Configure the age identity as an HF Secret, + keep an independent protected operator recovery copy, configure roots exactly as + documented, and import reviewed existing data with writers stopped. First-start + empty authorization is temporary and is forbidden for a failed recovery. +5. Deploy only to the approved private staging Space. Verify anonymous denial, + correct HF identity access, user/admin separation and scoped coordinator access. +6. Run the coordinator manually against staging with approved secrets. Let staging + sleep, then repeat from an actual GitHub Actions runner. Require verified private + access, wake, accepted trigger **and a new committed checkpoint**. Record run URL, + timestamps and restore-point ID. Do not claim these tests from local mock results. +7. Destroy staging state and start its clean container. Verify complete library, + media/Range, index queries, YAML history and health from GitHub + age key only. + Run an isolated admin recovery test and capture its result in `/backups`. +8. Exercise ingestion-complete and config-apply/rollback triggers, failed uploads, + exhausted retries, revoked credentials, capacity failure and stale health. + Check the existing inference/camera/routing/UI flows with unchanged providers. +9. After explicit approval, move the reviewed inactive coordinator into + `.github/workflows`, provision the protected environment and set + `COORDINATOR_VALIDATED=true` and `BACKUPS_APPROVED=true`. First observe manual + completion, then actual scheduled runs. No such activation was performed here. +10. Obtain a distinct production deployment/scheduling approval before applying any + changes to `Leon4gr45/openweb`. Retain a tested previous source and recovery + checkpoint; rollback into an isolated root, never overwrite active data. + + +## Subsequent live qualification (17 October 2026) + +This section supersedes the earlier network-policy observations above. Fixes are +based on application `30dbccac29e8056ccffff98f45247515f32edaad` and backup tooling +`96e6391b303e82ca821937c57da5e03776f3eedc`. No production changes or workflow activation +were made. Existing checkpoints/releases were neither deleted nor overwritten. + +### Phase 1: host-specific 401 diagnosis + +Using the **same GH_TOKEN source**, GitHub user/private repository reads return +200 and new disposable release creation returns 201 on `api.github.com`. The +uploader now consumes the returned `upload_url`, removes its URI-template suffix, +and validates HTTPS, exact uploads host, expected repository/release path, no +userinfo/query/fragment and no redirects before attaching Authorization. + +The resulting POST to `uploads.github.com` returns **401**, request ID +`FD3D:10E5C1:CD4E9:E9D17:6AD3D414`. A separate supported `token` authorization-scheme +probe returns 401 (`4CD7:31E81D:C5069:E70BE:6AD3D43C`); the native gh CLI using the +same credential source also returns 401 (`ADAA:355B8B:2A3FE2:3F6FD8:6AD3D43D`). The +upload-host root's 302 is not an authentication test and is not counted as success. + +HTTPX confirms Authorization is attached before the outbound proxy. API responses +include GitHub request IDs; the server response header is `envoy`. There is no +available trusted proxy trace that shows the forwarded Authorization value. These +observations localize the rejection to authentication at the upload destination; +they do **not** establish whether the proxy stripped, rewrote, or failed to inject +a credential. No proxy-held credentials were extracted, and no direct connection, +alternate API route or TLS bypass was attempted. Both HTTPX and gh fail, so this +is not demonstrated to be an HTTPX-only request-format issue. The declared scoped +VM_BACKUP_GITHUB_TOKEN binding still has no saved credential, and its variable is +absent in the running environment. A valid credential on both destinations remains +the external prerequisite; changing upload_url alone did not fix the 401. + +401 and other permanent 4xx requests now raise sanitized GitHubPermanentError, +without blind upload or outer checkpoint retries. The health report distinguishes +`github_authentication_failed` from a generic retry exhaustion. Transient upload +failures still reconcile the immutable asset name before retrying; a test verifies +that an uncertain 503 with an actually created asset does not produce a duplicate. +Sanitized diagnostics record method/host/status/GitHub request ID and allowlisted +response headers, never Authorization values, request bodies, response payloads or +signed Location URLs. Tests cover destination authorization and credential stripping +on signed downloads. + +Evidence: + +- [Host probes](evidence/github-auth-probe.json) +- [HTTPX / gh comparison](evidence/github-upload-client-comparison.json) +- [Latest live drill](evidence/github-recovery-live.json) + +### Phase 2: attempted real recovery + +Namespace `test-recovery-20261017-937e26ae` contains a newly created, uncommitted +release only. Its first encrypted upload failed once with 401. A read-only check +confirmed **zero release assets** and no checkpoint namespace (Contents API 404). +No successful live recovery, incremental checkpoint or file-hash comparison is +claimed. The report is explicitly `status=blocked`, `recovery_verified=false`. +All prior recovery successes remain real age/SQLite/FFmpeg with **mocked GitHub**. + +The live drill now persists sanitized diagnostics even on authentication failure. +After credentials work it is ready to record both committed checkpoint IDs, asset +counts, full restored file hashes before application startup, unchanged incremental +dedup, SQLite integrity/logical rows, fresh-process Library/Search/config/index, +authorized media Range and anonymous media denial, and actual FFmpeg media decode. +Search uses a deterministic synthetic query vector, not a live embedding provider; +the recovered index and application Search route perform real retrieval. The test +source and capture stage are deleted before restore, and recovery uses only GitHub +assets plus the isolated age key. Ephemeral test key destruction is intentional; +these disposable points are not production recovery assets. + +### Phase 3: private HF staging preparation + +Network reachability now works for the supplied production origin and HF metadata. +An anonymous HF metadata response reports **Leon4gr45/openweb private=false**, Docker, +CPU Basic, RUNNING, revision `5a12f98129417859ebddae6d7e74ca4a8d3dd5e4`. Its backup-status +route returns 404. This is not a private-boundary qualification and its privacy or +deployment was not changed. Anonymous metadata access to the proposed separate +staging target returns 401; existence/access cannot be concluded without credentials. + +A concrete [private staging package](../deploy/hf-staging/README.md), restricted +probe `scripts/qualify_private_space.py`, and manual-only inactive +`qualify-private-staging.yml` are prepared. The probe rejects production targets, +requires private metadata, verifies anonymous denial plus correct HF/scoped-trigger +access and wrong-trigger rejection, and can run the bounded checkpoint coordinator. +It records an actual Actions run URL when executed on a runner and only claims a +sleep/wake test when initial runtime was sleeping and the authenticated route plus +new checkpoint succeeded. No restart/resume/hardware API is called. + +The present task authorizes private staging qualification; it does not authorize +production changes. No HF credential is available, so staging deployment, authorized +HF access, actual runner dispatch and sleep/wake testing could not proceed. This is +a missing capability, not a request to reconfirm the task. The manual test workflow +and 12-hour production workflow both remain outside `.github/workflows`. + +Evidence: [HF observation](evidence/hf-space-observation.json) and +[staging probe result](evidence/private-staging-live.json). + +### Exact remaining credential and activation steps + +1. In secure cloud environment settings, supply **VM_BACKUP_GITHUB_TOKEN**: a + fine-grained GitHub token authorized only for JsonLord/visual-mentor-backups, + **Contents read/write and Metadata read**. Configure proxy substitution for both + `api.github.com` and `uploads.github.com`; signed release downloads deliberately + receive no bearer token. Apply the saved environment configuration and confirm + both hosts with the same binding. Never paste values or expose the proxy-held + token. The existing integration's API access does not prove upload authentication. +2. Rerun `AGE_BIN=/path/to/age python tests/live_github_recovery.py`. Require a + passed evidence file with real asset readback, two committed checkpoints, + incremental manifest-only upload, all pre-startup file hashes equal, and fresh + application/media checks. Until then the sole-store live recovery gate fails. +3. Provision an HF identity with write access to the **separate private staging** + repository. Repository creation requires rights in the Leon4gr45 namespace; if + avoiding broad creation rights, create the private Docker staging repository + first and issue a token limited to its contents/settings. Use the staging package + and existing deployment allowlist, not a production upload. Set staging backup + namespace, protected key/trigger and independent role tokens in HF settings. +4. Give the coordinator a **separate read-only HF token** authorized to access the + private staging repository and its authenticated app route, plus its own staging + trigger token. Add the exact staging origin to allowed network/credential + destinations. No paid inference or production-repository write scope is needed. + Run the private probe locally, then install only the reviewed manual workflow + with its `private-backup-staging` environment, STAGING_SPACE_ID/URL variables and + STAGING_HF_TOKEN / STAGING_BACKUP_TRIGGER_TOKEN secrets. Keep workflow permissions + at Contents read; GitHub writes occur inside the Space with its scoped writer. +5. Dispatch the manual workflow, record its run URL and new committed point, then + test a naturally sleeping staging instance through the same authenticated route. + Destroy only staging working state and verify clean startup recovery. Do not + equate an awake run, a local mock, or enqueue acceptance with wake/schedule success. +6. Leave the production timer inactive and approval guards unset. Production Space + deployment or production scheduling still requires explicit approval. + +Current follow-up regression: **116 backend tests passed** (20 backup tests), +including permanent-error retry suppression, transient reconciliation, sanitized +headers and private staging boundary mocks. These new tests do not convert the +blocked live gates into passes. No application UI or inference feature was redesigned. + + +## Dedicated credential recheck — 18 October 2026 + +The dedicated VM_BACKUP_GITHUB_TOKEN is now provisioned and ready. All requests +in this recheck used it, with no integration GH_TOKEN fallback. Private repository +read succeeded (200) and a new disposable release was created (201), but its first +age-encrypted asset upload returned **404** from uploads.github.com. Request ID: +`FE93:319F8B:36F88A:4FB435:6AD3F6B8`. The permanent rejection was not retried. + +Namespace `test-recovery-20261017-745d0278` has zero assets and zero committed +checkpoints, verified after the failure. Recovery/dedup were not reached. No +existing remote release/checkpoint was changed. Scope versus host-specific +credential propagation remains undetermined until the same permitted token is +compared on an independent trusted machine; none is attached here. No security +bypass or credential extraction was attempted. HF credentials remain absent. + +The first private staging deployment remains **NO-GO**. See +[credential qualification](credential-qualification.md) for sanitized evidence, +exact comparison steps and attribution boundaries. Earlier statements that the +dedicated binding was absent are historical and superseded by this recheck. diff --git a/docs/original-research.md b/docs/original-research.md new file mode 100644 index 0000000000000000000000000000000000000000..3a585b29a061a6147c45d22782a5ce540845d2d3 --- /dev/null +++ b/docs/original-research.md @@ -0,0 +1,129 @@ +# Video RAG with EmbeddingGemma 2 + Gemma 4 12B + +▶️ **Video walkthrough:** https://youtu.be/Q8T9lvtGFNw + +Multimodal RAG over the latest uploads on the channel. Every ~30s segment is embedded by +[EmbeddingGemma 2](https://huggingface.co/google/embeddinggemma-2) five different ways into one +shared 768d space, and Gemma 4 12B (QAT, on vLLM) answers questions by *watching* the retrieved +clips. A Next.js site shows the library, search, RAG answers, and the Matryoshka (MRL) experiments. + +``` +sams-videos/*.mp4 ─ ingest ─▶ 480p proxy + YouTube match ─ transcribe ─▶ word-timed transcript + │ + segment (~30s, snapped to sentences) ◀──────────┘ + │ clip.mp4 · audio.wav · keyframe.jpg + ▼ + EmbeddingGemma 2 ─▶ text | frame | video | audio | fused (768d, unit-norm) + │ + query ─ SearchQuery ──┤ cosine @ 768/512/256/128 (truncate + renormalise) + ▼ + top-k segments ─▶ Gemma 4 12B (transcript + video frames [+ audio]) ─▶ cited answer +``` + +## Embedding views + +| view | what is embedded | why | +|---|---|---| +| `text` | `title: {video title} \| text: {transcript}` | the classic text-RAG baseline | +| `frame` | one keyframe from the middle of the segment | cheapest visual signal | +| `video` | the clip's frames at 1fps (no audio, no text) | what's on screen over time | +| `audio` | raw 16kHz mono audio (no transcript) | can it replace ASR? | +| `fused` | transcript + `<\|video\|>` + `<\|audio\|>` interleaved in one input | all signals in a single vector | +| `hybrid` | reciprocal rank fusion of `text`, `video`, `audio` rankings | multi-vector alternative to `fused` | + +Segments target 30s: about 30 frames × 140 tokens + 750 audio tokens + the transcript, which fits +inside the model's 8,192-token window. + +## First results (15 videos, 427 segments, 228 synthetic queries) + +recall@5 (exact source segment in top 5): + +| view | spoken 768d | visual 768d | all 768d | all 256d | all 128d | +|---|---|---|---|---|---| +| text | **0.98** | 0.67 | **0.82** | **0.80** | 0.71 | +| frame | 0.39 | 0.60 | 0.49 | 0.46 | 0.41 | +| video | 0.53 | 0.75 | 0.64 | 0.59 | 0.52 | +| audio | 0.82 | 0.61 | 0.71 | 0.66 | 0.57 | +| fused | 0.84 | **0.78** | 0.81 | 0.77 | 0.69 | +| hybrid | 0.84 | 0.69 | 0.77 | 0.74 | **0.72** | + +- **Spoken queries favour transcripts.** Text is near-perfect. Raw audio with no ASR reaches 0.82. + The spoken queries were written from transcripts, which biases the comparison toward the text view. +- **Visual queries favour pixels.** Fused (0.78) and video (0.75) beat text (0.67). This is where multimodal embedding pays off. +- **MRL:** 256d keeps about 95% of 768d quality across views. 128d costs 10 to 15 points, except hybrid, + where rank fusion absorbs most of the loss. +- Caveats: the queries are synthetic, Gemma 4 always produced a "visual" query even for talking-head shots, + and some spoken queries are vague. Add real queries to `data/eval/manual.jsonl` and re-run `vrag experiments`. + +## Setup + +Two separate uv environments, so vLLM's pinned torch/transformers don't clash with the embedding stack: + +```bash +uv sync # pipeline + API (torch cu130, transformers 5.19, sentence-transformers 6.1) +(cd serve && uv sync) # vLLM 0.23.0 for Gemma 4 12B QAT +(cd web && npm install) # Next.js site +``` + +## Build the index + +Put video files in `sams-videos/`, then: + +```bash +serve/serve.sh --bg --mtp # Gemma 4 12B QAT on :8001 (needed for evalset + ask) +uv run vrag build # ingest -> transcribe -> segment -> embed +uv run vrag evalset # Gemma 4 watches sampled segments, writes spoken + visual queries +uv run vrag experiments # view x MRL-dim retrieval grid -> data/experiments/results.json +``` + +- **ingest** transcodes each file to a 480p proxy and matches it to its YouTube upload by duration + (YouTube lists durations rounded up), recovering title, ID, and view count with no per-video requests. +- **transcribe** uses Gemma 4 12B on the vLLM server by default (`VRAG_ASR=whisper` switches to Whisper + large-v3-turbo). Audio is cut at pauses into chunks of 28 seconds or less and padded to exactly 30 seconds. + Gemma only hears the first 30 seconds of any clip, and vLLM 0.23 crashes when it batches clips of different lengths. + Sentence times are interpolated within each chunk. Chunks that fall into a repetition loop are retried with a + repetition penalty. On this corpus it took about 100 seconds for 3.9 hours of audio (Whisper: about 35 minutes), + with 4.3% word disagreement between the two. `uv run vrag switch-transcripts gemma|whisper` swaps the transcripts + behind the text and fused views while keeping the segment boundaries fixed. +- `uv run vrag download` is an alternative that pulls straight from YouTube, but YouTube often bot-blocks it. + +## Run the app + +```bash +scripts/dev.sh # vLLM (if not running) + FastAPI :8000 + Next.js :3000 +``` + +or each separately: `uv run vrag api`, `cd web && npm run dev`. To open the dev site from other +machines, list their hostnames/IPs in `web/.env.local` as `VRAG_DEV_ORIGINS=host1,host2,*.your-tailnet.ts.net`. +CLI question answering: +`uv run vrag ask "what did Sam say about 1.6-bit DeepSeek?"`. + +## Gotchas found along the way + +- EmbeddingGemma 2 must run in **bf16 or fp32**. fp16 silently produces NaN or degraded vectors. +- After MRL truncation, vectors **must be re-normalised** (`vrag/index.py:truncate`). +- Video input in sentence-transformers needs `torchcodec`, because torchvision removed `read_video`. +- vLLM needs `vllm[audio]`, otherwise audio inputs return "Invalid or unsupported audio file". +- Gemma 4 treats audio placed before the instruction as a conversation turn. Put the instruction first. +- Whisper's batched *chunk* timestamps can collapse into 5-minute cues. Word timestamps fix that, but Whisper + still invents or duplicates text where its 30-second windows meet, for example "I'll see you next time" mid-video. +- Gemma 4 occasionally gets stuck in a loop ("thought thought thought…"). These are detected and retried. +- `serve/serve.sh` carries over the Blackwell/VPN workarounds from `~/projects/gemma-4-qat`. + +## Layout + +``` +vrag/ pipeline + API (python) + ingest.py local files -> data/videos//{video.mp4, thumb.jpg, meta.json} + transcribe.py transcript.json + segment.py segments.json + segments/NNN.{mp4,wav,jpg} + embedder.py EmbeddingGemma 2 wrapper, per-view inputs + embed.py data/index/.npy + manifest.json + index.py cosine search, MRL truncation, hybrid RRF + rag.py retrieval + Gemma 4 generation (video_url / audio_url clips) + evalset.py synthetic spoken/visual queries (+ data/eval/manual.jsonl for your own) + experiments.py metrics grid + api.py FastAPI for the site +serve/ vLLM env + serve/stop scripts +web/ Next.js 16 site (Library, Search, Ask, Experiments) +``` diff --git a/docs/providers.md b/docs/providers.md new file mode 100644 index 0000000000000000000000000000000000000000..affa0449cd27570a0d544a991610c3dcdda7b041 --- /dev/null +++ b/docs/providers.md @@ -0,0 +1,53 @@ +# Remote provider contracts and v2 qualification + +No large model runs inside this Space. Runtime readiness is not inferred from a +configured API key, health endpoint, placeholder model ID or mock result. + +| Adapter | Request contract | Actual v2 evidence | +| --- | --- | --- | +| `laya-vision` | Router root + POST `/v1/system-one`; object `state`, typed `questions`, bare `imageBase64` | Live synthetic image passed 2026-10-17, 22.632s; no real camera | +| `detection-http` | Gateway `/detect`, normalized boxes plus matching frame/camera IDs and dimensions | Mock contract only; no NVIDIA endpoint/model configured | +| `openai-transcription` | `/audio/transcriptions`, multipart audio file + model | Mock HTTP and real FFmpeg audio extraction; no live Whisper credentials | +| `openai-embeddings` | `/embeddings`, model + input; finite nonzero vector | Mock pipeline, version/dimension isolation; no live model configured | +| `openai-chat-vision` | `/chat/completions`, bounded transcript/text and optional base64 image URLs | Mock answers/citations and image payload safety; no live VLM configured | + +Laya source contract was recovered during donor review from +`JsonLord/laya-inference`, source revision +`77b324ac6c72efee883c41fd333e84007c55bed0`. The donor fixture/tests preserve that +source envelope and the observed live `results.answers` alternative. Upstream +README `image` is not the JSON gateway image field. The historical source had a +placeholder backend; actual live readiness says placeholder=false, and adapter +requires backend=laya-vision and model=thaitea/laya-vision. Only a fixed `noul` +question about image inspectability is implemented. It is not a captioner, +spatial detector or proof of semantic mentoring quality. No boxes are invented. +The current runtime had a Laya credential available despite the environment +configuration inventory not listing one. It was used through the normal adapter +without reading/logging its value. `authorization_header_sent` records that a +header was sent; authentication enforcement was not tested. + +NVIDIA is an explicit gateway protocol, not an assumption that any NVIDIA/NIM +model supports spatial detection. A deployment must provide a verified gateway +matching `vrag/providers.py` or add an upstream-source-verified adapter after +review. Placeholder IDs cannot be enabled. OpenAI provider base URLs normally +include `/v1`; Laya uses its router root. Secrets stay in referenced server env vars. + +Routing supports single, fallback, parallel (all/first_valid/quorum), sequential +(typed previous output), conditional predicates and spatial/semantic fusion. +Quorum failure reports no valid quorum; ordinary partial failures retain successful +outputs. Per-session overrides reuse configured provider identities/capabilities, +recheck destinations on dispatch, stop local previews when applied and discard +in-flight results if routing changes. They do not persist defaults. + +Text indexes identify endpoint/model, full dimension, preprocessing, modality, +segmentation and corpus revision. Only declared MRL dimensions may be used. New +jobs atomically switch CURRENT after a complete revision, reusing compatible +unchanged segment vectors. Frame/video/audio/fused embedding adapters remain +**unimplemented and unavailable**: text similarity is not a substitute. Historical +compatible index files/charts are retained, not regenerated or requalified here. + +Destination policy: exact approved HTTPS hosts, no URL credentials/query/fragment, +no private/metadata IPs, no redirects, TLS verification, bounded payloads/responses, +per-provider concurrency/circuit control. Direct requests pin validated public IPs +with original hostname/SNI. A configured trusted proxy owns DNS on that path and +must independently enforce public-only DNS/metadata denial. Real deployment egress +policy is an outstanding staging check. diff --git a/docs/v2-evidence/backend-tests.txt b/docs/v2-evidence/backend-tests.txt new file mode 100644 index 0000000000000000000000000000000000000000..891fd64afb61e75892f2ce68c895a363fbfb30a8 --- /dev/null +++ b/docs/v2-evidence/backend-tests.txt @@ -0,0 +1,9 @@ +........................................................................ [ 75%] +........................ [100%] +=============================== warnings summary =============================== +../visual-mentor-venv/lib/python3.12/site-packages/fastapi/testclient.py:1 + /workspace/visual-mentor-venv/lib/python3.12/site-packages/fastapi/testclient.py:1: StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; install `httpx2` instead. + from starlette.testclient import TestClient as TestClient # noqa + +-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html +96 passed, 1 warning in 2.63s diff --git a/docs/v2-evidence/browser-tests.txt b/docs/v2-evidence/browser-tests.txt new file mode 100644 index 0000000000000000000000000000000000000000..e549c726fb9c629428906ee2dc76f4869fd51906 --- /dev/null +++ b/docs/v2-evidence/browser-tests.txt @@ -0,0 +1,33 @@ + +Running 21 tests using 1 worker + +(node:44947) Warning: The 'NO_COLOR' env is ignored due to the 'FORCE_COLOR' env being set. +(Use `node --trace-warnings ...` to show where the warning was created) + ✓ 1 tests/fullstack.spec.ts:2:5 › real same-origin sample library, search, Ask, playback and Range (5.5s) + ✓ 2 tests/live.spec.ts:2:5 › dual simulated previews require explicit transfer and stop on navigation (3.7s) + ✓ 3 tests/live.spec.ts:63:5 › models studio validates and atomically switches a profile (1.3s) + ✓ 4 tests/parity.spec.ts:10:7 › original UI desktop (6.2s) + ✓ 5 tests/parity.spec.ts:10:7 › original UI laptop (7.2s) + ✓ 6 tests/parity.spec.ts:10:7 › original UI tablet (8.8s) + ✓ 7 tests/parity.spec.ts:10:7 › original UI mobile (6.7s) + ✓ 8 tests/parity.spec.ts:48:5 › clip and citation interactions (1.7s) + ✓ 9 tests/release.spec.ts:11:5 › permission denial shows an error without uploading (869ms) + ✓ 10 tests/release.spec.ts:19:7 › rejects frame mismatch and permits a later matching observation (2.3s) + ✓ 11 tests/release.spec.ts:19:7 › rejects config mismatch and permits a later matching observation (1.2s) + ✓ 12 tests/release.spec.ts:19:7 › rejects dimensions mismatch and permits a later matching observation (1.2s) + ✓ 13 tests/release.spec.ts:19:7 › rejects box mismatch and permits a later matching observation (1.1s) + ✓ 14 tests/release.spec.ts:46:5 › stopping a camera discards its delayed result (1.1s) + ✓ 15 tests/release.spec.ts:59:5 › a pending camera permission grant after navigation stops the returned tracks (1.1s) + ✓ 16 tests/release.spec.ts:72:5 › device contention is reported and track end stops the preview (1.1s) + ✓ 17 tests/release.spec.ts:84:5 › hiding the page stops microphone capture without uploading audio (1.0s) + ✓ 18 tests/release.spec.ts:98:5 › recorder errors release microphone tracks and discard audio (926ms) + ✓ 19 tests/studio.spec.ts:60:7 › native Live and Models desktop (2.6s) + ✓ 20 tests/studio.spec.ts:60:7 › native Live and Models mobile (1.9s) + ✓ 21 tests/studio.spec.ts:74:5 › import edits draft, validate gates apply, route form updates YAML (1.4s) + + 21 passed (1.1m) +npm notice +npm notice New major version of npm available! 11.9.0 -> 12.2.0 +npm notice Changelog: https://github.com/npm/cli/releases/tag/v12.2.0 +npm notice To update run: npm install -g npm@12.2.0 +npm notice diff --git a/docs/v2-evidence/build.txt b/docs/v2-evidence/build.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2b4324cb0f5ee4f9660ecec7f7d7247bb2b66ab --- /dev/null +++ b/docs/v2-evidence/build.txt @@ -0,0 +1,120 @@ +#0 building with "default" instance using docker driver + +#1 [internal] load build definition from Dockerfile +#1 transferring dockerfile: 1.89kB done +#1 DONE 0.0s + +#2 [internal] load metadata for docker.io/library/python:3.12-slim-bookworm@sha256:34386ef0cb081344d7ec1c103ba398e6e9f64e9ab3a1509accc92a4e24a07258 +#2 DONE 0.0s + +#3 [internal] load metadata for docker.io/library/node:24-bookworm-slim@sha256:a5f4366e834695d5f363b920c104953a535d3a9864d1bdf74566a0ebe01daee5 +#3 DONE 0.0s + +#4 [internal] load .dockerignore +#4 transferring context: 396B done +#4 DONE 0.0s + +#5 [web 1/6] FROM docker.io/library/node:24-bookworm-slim@sha256:a5f4366e834695d5f363b920c104953a535d3a9864d1bdf74566a0ebe01daee5 +#5 DONE 0.0s + +#6 [runtime 1/6] FROM docker.io/library/python:3.12-slim-bookworm@sha256:34386ef0cb081344d7ec1c103ba398e6e9f64e9ab3a1509accc92a4e24a07258 +#6 DONE 0.0s + +#7 [internal] load build context +#7 transferring context: 24.00kB done +#7 DONE 0.0s + +#8 [web 3/6] COPY web/package*.json ./ +#8 CACHED + +#9 [web 2/6] WORKDIR /build/web +#9 CACHED + +#10 [web 4/6] RUN --mount=type=secret,id=build_ca if [ -f /run/secrets/build_ca ]; then export NODE_EXTRA_CA_CERTS=/run/secrets/build_ca; fi; npm ci --no-audit --no-fund +#10 CACHED + +#11 [web 5/6] COPY web/ ./ +#11 DONE 11.3s + +#12 [web 6/6] RUN npm run build +#12 2.338 +#12 2.338 > web@0.1.0 build +#12 2.338 > next build +#12 2.338 +#12 2.710 ▲ Next.js 16.4.0 (Turbopack) +#12 2.748 ✓ Running next.config.ts took 36ms +#12 2.765 - Cache Components enabled +#12 2.765 - Partial Prefetching enabled +#12 2.765 - Experiments (use with caution): +#12 2.765 · proxyClientMaxBodySize: "65mb" +#12 2.765 · proxyTimeout: 300000 +#12 2.765 +#12 2.785 Creating an optimized production build ... +#12 9.207 ✓ Compiled successfully in 6.4s +#12 9.211 Running TypeScript ... +#12 12.98 Finished TypeScript in 3.8s ... +#12 12.98 Collecting page data using 4 workers ... +#12 13.54 Generating static pages using 4 workers (0/11) ... +#12 13.91 Generating static pages using 4 workers (2/11) +#12 13.95 Generating static pages using 4 workers (5/11) +#12 13.95 Generating static pages using 4 workers (8/11) +#12 14.04 ✓ Generating static pages using 4 workers (11/11) in 501ms +#12 14.05 Finalizing page optimization ... +#12 14.22 +#12 14.22 Route (app) +#12 14.22 ┌ ○ / +#12 14.22 ├ ○ /_not-found +#12 14.22 ├ ○ /architecture +#12 14.22 ├ ○ /ask +#12 14.22 ├ ○ /experiments +#12 14.22 ├ ○ /live +#12 14.22 ├ ○ /models +#12 14.22 ├ ○ /search +#12 14.22 └ /videos/[id] +#12 14.22 └ ◐ /videos/[id] +#12 14.22 +#12 14.22 +#12 14.22 ○ (Static) prerendered as static content +#12 14.22 ◐ (Partial Prerender) prerendered as static HTML with dynamic server-streamed content +#12 14.22 +#12 DONE 14.3s + +#13 [bundle 1/6] COPY vrag /app/vrag +#13 CACHED + +#14 [bundle 2/6] COPY config /app/config +#14 CACHED + +#15 [bundle 3/6] COPY scripts/cloud-start.py /app/scripts/cloud-start.py +#15 CACHED + +#16 [bundle 4/6] COPY --from=web /build/web/.next/standalone /app/web/.next/standalone +#16 DONE 0.1s + +#17 [bundle 5/6] COPY --from=web /build/web/.next/static /app/web/.next/standalone/.next/static +#17 DONE 0.1s + +#18 [bundle 6/6] COPY --from=web /build/web/public /app/web/.next/standalone/public +#18 DONE 0.1s + +#19 [runtime 4/6] RUN --mount=type=secret,id=build_ca export http_proxy="$HTTP_PROXY" https_proxy="$HTTPS_PROXY"; if [ -f /run/secrets/build_ca ]; then export PIP_CERT=/run/secrets/build_ca; fi; apt-get update && apt-get install -y --no-install-recommends ca-certificates libatomic1 ffmpeg age && pip install --no-cache-dir -r requirements-runtime.txt && rm -rf /var/lib/apt/lists/* && useradd -m -u 1000 mentor && mkdir -p /app/data/videos && chown -R mentor:mentor /app/data +#19 CACHED + +#20 [runtime 2/6] WORKDIR /app +#20 CACHED + +#21 [runtime 3/6] COPY requirements-runtime.txt ./ +#21 CACHED + +#22 [runtime 5/6] COPY --from=web /usr/local/bin/node /usr/local/bin/node +#22 CACHED + +#23 [runtime 6/6] COPY --from=bundle --chown=1000:1000 /app /app +#23 DONE 3.8s + +#24 exporting to image +#24 exporting layers +#24 exporting layers 0.6s done +#24 writing image sha256:51259fc8221de63f5b4dfaf9e247e64e1496806ca88ca72f85ec243fae1ef1a3 done +#24 naming to docker.io/library/video-rag-mentor:v2-review done +#24 DONE 0.6s diff --git a/docs/v2-evidence/container.json b/docs/v2-evidence/container.json new file mode 100644 index 0000000000000000000000000000000000000000..746f11c2596cb12ce285d8d1b455f1fba84b5bd0 --- /dev/null +++ b/docs/v2-evidence/container.json @@ -0,0 +1,22 @@ +{ + "image_id": "sha256:51259fc8221de63f5b4dfaf9e247e64e1496806ca88ca72f85ec243fae1ef1a3", + "startup_seconds": 13.009, + "network": "none", + "published_ports": [], + "limits": "2 CPUs / 16 GiB", + "checks": { + "media_range_and_cookie": "passed", + "authentication": "passed", + "csrf_origin": "passed", + "config_apply_rollback": "passed", + "session_ownership": "passed", + "disabled_inference": "503 without local fallback", + "uid": 1000, + "forbidden_packages": [], + "model_weights": [], + "gpu_devices": [] + }, + "persistent_volume": { + "recreated_container_config_version": 4 + } +} diff --git a/docs/v2-evidence/laya-live.json b/docs/v2-evidence/laya-live.json new file mode 100644 index 0000000000000000000000000000000000000000..81ac04df332c1377c50c832440bdc384449b52e6 --- /dev/null +++ b/docs/v2-evidence/laya-live.json @@ -0,0 +1,70 @@ +{ + "metadata": { + "/health": { + "status": "ok" + }, + "/ready": { + "status": "ready", + "backends": { + "laya": { + "ready": true + }, + "laya-vision": { + "ready": true, + "placeholder": false + } + } + }, + "/v1/info": { + "service": "system-one", + "inference_endpoint": "/v1/system-one", + "routing": { + "text_or_structured": "laya", + "visual": "laya-vision" + }, + "backends": { + "laya": { + "device": "cpu", + "generative": false, + "model": "receptron/laya-onnx", + "threads": 2, + "max_concurrency": 4 + }, + "laya-vision": { + "device": "cpu", + "generative": false, + "model": "thaitea/laya-vision", + "parameters": "201M", + "runtime": "python/laya", + "threads": 1, + "max_concurrency": 1, + "max_queue": 8 + } + }, + "capabilities": [ + "choice", + "score", + "noul", + "vision" + ] + } + }, + "synthetic_inference_executed": true, + "elapsed_s": 22.632, + "output": { + "detections": [], + "decisions": [ + { + "action": "visual_assessment", + "reason": "Image inspectability probability: 0.3431 (Laya noul score; advisory, not a spatial detection).", + "source": "laya" + } + ], + "text": "", + "warnings": [], + "embedding": null + }, + "authorization_header_sent": true, + "authentication_enforcement_tested": false, + "tested_at": "2026-10-17" +} diff --git a/docs/v2-evidence/lint.txt b/docs/v2-evidence/lint.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd39e4c58fa7f7711698eaea850d0fd44df49112 --- /dev/null +++ b/docs/v2-evidence/lint.txt @@ -0,0 +1,15 @@ + +> web@0.1.0 lint +> eslint + + +/workspace/basic-video-rag-with-embeddinggemma2/web/src/app/architecture/ArchitectureView.tsx + 109:9 warning 'perView768' is assigned a value but never used @typescript-eslint/no-unused-vars + +✖ 1 problem (0 errors, 1 warning) + +npm notice +npm notice New major version of npm available! 11.9.0 -> 12.2.0 +npm notice Changelog: https://github.com/npm/cli/releases/tag/v12.2.0 +npm notice To update run: npm install -g npm@12.2.0 +npm notice diff --git a/docs/v2-evidence/main-parity.txt b/docs/v2-evidence/main-parity.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec3d937a67a3d0faad5bb541833e8338fe465540 --- /dev/null +++ b/docs/v2-evidence/main-parity.txt @@ -0,0 +1,17 @@ + +Running 5 tests using 1 worker + +(node:19395) Warning: The 'NO_COLOR' env is ignored due to the 'FORCE_COLOR' env being set. +(Use `node --trace-warnings ...` to show where the warning was created) + ✓ 1 tests/parity.spec.ts:4:30 › original UI desktop (5.5s) + ✓ 2 tests/parity.spec.ts:4:30 › original UI laptop (4.3s) + ✓ 3 tests/parity.spec.ts:4:30 › original UI tablet (6.9s) + ✓ 4 tests/parity.spec.ts:4:30 › original UI mobile (6.6s) + ✓ 5 tests/parity.spec.ts:5:5 › clip and citation interactions (1.4s) + + 5 passed (27.7s) +npm notice +npm notice New major version of npm available! 11.9.0 -> 12.2.0 +npm notice Changelog: https://github.com/npm/cli/releases/tag/v12.2.0 +npm notice To update run: npm install -g npm@12.2.0 +npm notice diff --git a/docs/v2-evidence/main/architecture-desktop-linux.png 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new file mode 100644 index 0000000000000000000000000000000000000000..bcc34a5c93d18e9fff6be61dbb487cd6784b50d4 Binary files /dev/null and b/docs/v2-evidence/main/video-mobile-linux.png differ diff --git a/docs/v2-evidence/main/video-tablet-linux.png b/docs/v2-evidence/main/video-tablet-linux.png new file mode 100644 index 0000000000000000000000000000000000000000..59f16ec82a30184cfd055729fcfc9c1b6eb9adac Binary files /dev/null and b/docs/v2-evidence/main/video-tablet-linux.png differ diff --git a/docs/v2-evidence/runtime.json b/docs/v2-evidence/runtime.json new file mode 100644 index 0000000000000000000000000000000000000000..d9b97cb7e3eccba63bd1e9f2d3c88c4ca12b341d --- /dev/null +++ b/docs/v2-evidence/runtime.json @@ -0,0 +1,25 @@ +{ + "image_id": "sha256:51259fc8221de63f5b4dfaf9e247e64e1496806ca88ca72f85ec243fae1ef1a3", + "image_bytes": 902269680, + "startup_seconds": 8.893, + "idle_process_rss_bytes": 188325888, + "post_workload_process_rss_bytes": 213573632, + "sampled_peak_process_rss_bytes": 213573632, + "cgroup_peak_bytes": 230379520, + "workload_cpu_seconds": 2.876, + "workload_wall_seconds_including_probes": 1.871, + "forbidden_packages": [], + "workload": { + "requests": 180, + "peak_process_rss_bytes": 213483520, + "http_p50_ms": 9.97, + "http_p95_ms": 90.22, + "ffmpeg_and_http_elapsed_s": 1.323, + "synthetic_matrix_shape": [ + 10000, + 768 + ], + "matrix_searches": 50 + }, + "limits": "2 CPUs / 16 GiB; no GPU; no providers configured" +} diff --git a/docs/v2-evidence/ui-comparison.html b/docs/v2-evidence/ui-comparison.html new file mode 100644 index 0000000000000000000000000000000000000000..2db4c7aed8dae55c387845c49dc0b585b6e4c865 --- /dev/null +++ b/docs/v2-evidence/ui-comparison.html @@ -0,0 +1,21 @@ +Video RAG v2 — UI review

Original Video RAG → Visual Mentor v2

Main: 7f8922c. New branch starts from main; old feature UI was not merged. Synthetic fixture data and simulated devices, not live qualification. Moving video pixels are masked in regression images.

+
+

Library

Main

Original library desktop

v2

v2 library desktop
+

Search

Main

Original search desktop

v2

v2 search desktop
+

Ask

Main

Original ask desktop

v2

v2 ask desktop
+

Experiments

Main

Original experiments desktop

v2

v2 experiments desktop
+

Architecture

Main

Original architecture desktop

v2

v2 architecture desktop
+

Video

Main

Original video desktop

v2

v2 video desktop
+

Live

Main

New route; no main baseline exists.

v2

v2 live desktop
+

Models

Main

New route; no main baseline exists.

v2

v2 models desktop
+
+
+

Library

Main

Original library mobile

v2

v2 library mobile
+

Search

Main

Original search mobile

v2

v2 search mobile
+

Ask

Main

Original ask mobile

v2

v2 ask mobile
+

Experiments

Main

Original experiments mobile

v2

v2 experiments mobile
+

Architecture

Main

Original architecture mobile

v2

v2 architecture mobile
+

Video

Main

Original video mobile

v2

v2 video mobile
+

Live

Main

New route; no main baseline exists.

v2

v2 live mobile
+

Models

Main

New route; no main baseline exists.

v2

v2 models mobile
+
\ No newline at end of file diff --git a/docs/v2-implementation-prompt.md b/docs/v2-implementation-prompt.md new file mode 100644 index 0000000000000000000000000000000000000000..95039337d051717c57033d62bc9f53f03b1e6f02 --- /dev/null +++ b/docs/v2-implementation-prompt.md @@ -0,0 +1,54 @@ +# Codex prompt — Visual Mentor v2: Video RAG UI restoration and feature integration + +You are the lead engineer on `https://github.com/JsonLord/basic-video-rag-with-embeddinggemma2`. + +**Governing new specification:** `spec.md` (Visual Mentor v2). Read it fully before touching code. The owner is changing course: **this project is an enhancement of the original Video RAG application and UI**, not an independent ultra-light mentoring dashboard. The currently deployed `Leon4gr45/openweb` UI does not meet expectations. + +## Branch selection (mandatory) + +1. Fetch remotes and inspect `main`, `feature/visual-mentor` (`245b686c916f0fcb0aff50b305e27f399c32910d` at the last review), and `deploy-huggingface-space-2826124284938220779` (PR #1). Verify latest commit SHAs before acting. +2. Create a **new development branch from `main`**, named `feature/video-rag-mentor-v2`. Do NOT branch from the deployment PR, and do NOT merge `feature/visual-mentor` wholesale. +3. Treat `main/web/` as the visual, functional and UI component **source of truth**. Port only the required **tested** backend modules, adapters, security, tests, camera lifecycle logic and compatible Docker work from `feature/visual-mentor`. Cherry-pick/file-port intentionally and document the porting decisions. Keep `main` and prior feature branches unchanged. +4. Replace the OLD `main`-branch `spec.md` on the new branch with the attached Visual Mentor v2 specification if it has not already been replaced. + +## Product intent + +Create a cohesive Video RAG + Visual Mentor web app: original Library/Search/Ask/Experiments/Architecture/clip-player UI preserved and improved; add high-quality Live dual-camera workspace, integrated mentor observations, rich Models & Routing tab with YAML upload and parallel Laya/NVIDIA routing, remote Whisper/VLM/embedding adapters, media import/indexing and CPU-affordable background processing. + +**Stop optimizing for ~200 MiB memory.** HF CPU Basic is 2 vCPU / 16 GB RAM / 50 GB ephemeral storage. Optimize responsiveness and product functionality while measuring RAM, CPU, provider latency and costs. Retain remote inference; DGX must not be needed. Local FFmpeg and small CPU image/video helpers are permitted; no large on-Space inference models. + +## Mandatory work sequence + +**Step 0 — Audit & UI baseline (do first).** Inspect current repo and previous branch; write `docs/v2-ui-baseline.md` (which original components/pages/styles are protected), `docs/v2-porting-plan.md` (which feature-branch modules to port, reject or rewrite). Take desktop/mobile baseline screenshots using seeded, deterministic library data, not a blank DB. Inspect `openweb` only if accessible with approved credentials. Do not invent a screenshot comparison if inaccessible. + +**Step 1 — Original Video RAG parity.** Make Library (`/`, default landing page), Search, Ask, Experiments, Architecture and video details work, and preserve design tokens, dense cards, metadata, clip modal, inline source playback and citations. Do not replace them with generic panels. Add screenshot/visual regression tests, e.g. Playwright, and seeded content. No further feature work until this UI gate passes. + +**Step 2 — RAG, media and remote inference.** Port existing versioned-index/remote-LLM/provider/security code from `feature/visual-mentor`; preserve functional `/api` and `/media` routes. Re-enable useful video ingestion: browser upload, bounded background FFmpeg thumbnail/proxy/segment tasks, remote Whisper transcription, indexed text/captions, provider-compatible multimodal indexing, resumable/retryable job status. Preserve old MRL/RRF/experiments only where technically valid. Never claim text-only embeddings reproduce frame/video/audio/fused shared-space behavior. + +**Step 3 — Live UI that looks native.** Build `/live` within the original UI system. Integrated laptop camera + external USB webcam through HTTPS `getUserMedia` in the browser; two independent simultaneous previews when available; controls, 1-2 fps sampled transfer default, overlay geometry, provenance, timeline, mentor guidance, push-to-talk, clear consent. Reuse lifecycle and stale-observation safety tests from old feature branch. + +**Step 4 — Full Models & Routing Studio.** Improve `/models` to professional provider cards, route matrix/visual graph, per-session overrides, synthetic test, YAML file input + editor + validate/diff + atomic apply/rollback/export + profiles, trace latency/errors, authorized destinations. Support single, fallback, parallel, sequential and conditional execution; typed fusion of NVIDIA detection boxes and Laya semantic decisions without invented geometry. Laya's available API contract is established only for limited advisory/synthetic use; check live credentials/capabilities. Do not assume NVIDIA or Whisper models are live without tests. + +**Step 5 — Mandatory 12-hour private GitHub backups (new release blocker).** Implement the backup contract in `spec.md` Section 9. Propose/create (only when authorized) a *separate private* backup repository, preferably `JsonLord/visual-mentor-backups`. Its GitHub Actions workflow must run at `17 0,12 * * *` UTC and support `workflow_dispatch`, avoid double runs, and report late/missing/failed backups. Use external durable storage as the authoritative source when available, not the HF ephemeral filesystem. Build consistent encrypted state snapshots (SQLite backup API), redacted YAML routing/profile history, transcripts, metadata, job state and versioned index manifests/artifacts. Large media must go to private object storage (or a specifically approved budgeted LFS route) and have SHA-256 inventory/verified availability in GitHub; never mistake GitHub-only metadata for a full-media backup. Encrypt snapshots *before* GitHub; require out-of-band recovery key storage. Add backup/restore scripts, admin-only backup status, retention rules, monitoring, docs and failure-mode tests. Test a manual GitHub Actions run and verify restoration into an isolated clean staging directory. Never claim backup enabled until the actual private workflow has run and a restore is demonstrated. Keep repo creation, credential provisioning and production activation approval-gated. + +**Step 6 — Packaging and staging.** Produce Docker image for a private HF Space, exactly one public app port 7860, working same-origin `/api` and `/media`, responsive original Next.js UI. Audit PR #1 changes individually; eliminate competing `next.config.ts` vs `next.config.mjs`. Arrange external durable storage/backups because the 50 GB Space disk is ephemeral and permanent built-in storage cannot be presumed. Document private authentication and both app-level user/admin controls. Build locally, run UI/functional/security tests and measure 2-vCPU/16GB performance. Do not modify `Leon4gr45/openweb` until staging + explicit user approval. + +**Step 7 — User-facing approval package.** Deliver a screenshot comparison of `main` vs new `/`, `/search`, `/ask`, `/live`, `/models`, a UI/functional parity checklist, functional tests including a realistic sample library, Docker measurements, live vs mocked provider test table, and precise staging deployment/rollback instructions, private backup repository/workflow evidence, backup coverage, most recent successful run and restore procedure. Identify constraints that still require physical cameras, credentials or private HF access. Commit all work on `feature/video-rag-mentor-v2` and push branch if permitted. Do not merge or deploy production without explicit approval. + +## Non-negotiable acceptance criteria + +- Landing page defaults to the **original-style Library**, not Live/Models/status. +- Existing Library/Search/Ask/Experiments/Architecture/video-detail functions pass with seeded data. +- Video results have real playable clip links and timestamped citations; media seek/Range works. +- New Live/Models look like parts of the original Video RAG site, not an unrelated administrative dashboard. +- Video upload -> transcription -> segmentation -> embeddings -> search/Ask actually works for a verified remote provider pipeline (or reports each unavailable dependency truthfully). +- User can choose laptop camera, USB camera or both; test synthetic devices automatically and real hardware manually. +- YAML upload and routing can run Laya, NVIDIA or both in parallel; failure isolation and sensitive egress authorization retained. +- Working private HF Docker packaging within 2 CPU / 16 GB RAM, with no DGX coupling, plus a **separate private GitHub backup repository** with 12-hour scheduled encrypted snapshots, asset coverage, failure alerts, and a verified clean restore. +- Regression evidence is real; do not claim a mocked provider or simulated camera is a live qualification. + +## Engineering rules + +Preserve existing design components and API contracts; use minimal refactors rather than framework replacement. Add test coverage and useful errors for missing providers. Every new route and feature must have actual UI interactions, not placeholders. Use typed interfaces, safe YAML parsing, SSRF protection, redacted secrets, bounded tasks, cancellable requests and strict provider capability checks. If a dependency is unavailable, continue implementation of independently testable parts while listing the blocker. Do not make unauthorized network changes or expose new ports. Maintain a changelog and meaningful commits per phase. + +**Start now:** Show concise branch comparison and porting plan, create the new branch from `main`, capture the original UI baseline, then continue through implementation. Do not stop after producing only a plan unless genuinely blocked. diff --git a/docs/v2-porting-plan.md b/docs/v2-porting-plan.md new file mode 100644 index 0000000000000000000000000000000000000000..e0ff8c8cc97daf9eb3d62bc07eb8b0a275b94ffe --- /dev/null +++ b/docs/v2-porting-plan.md @@ -0,0 +1,19 @@ +# Selective porting decisions + +Donor: feature/visual-mentor at 245b686. Keep main web pages/components/styles as baseline. + +- Port config/schema.py, vrag settings/providers/egress/routing/remote/research/mentor_api, + CPU api/index/config adaptations and all 77 backend tests; retain security and contract fixtures. +- Port camera lifecycle and voice consent code plus browser safety tests; restyle in main tokens. +- Port Controls capability-aware selectors and truthful Ask/Search copy only, preserving markup. +- Port reproducible runtime lock, Docker base pins, process supervisor and test tooling. + Add FFmpeg for bounded media jobs. Resource target is 2 CPU / 16GB, not old RSS target. +- Reject donor homepage, nav replacement, generic global vm styles and minimal Models editor. +- Rewrite Models as provider/route studio; extend durable ingestion and encrypted backup tools. +- Deployment PR audit: README SDK metadata and .hfignore useful; reject competing .mjs config, + unrelated Agent.md and redundant API-doc toggle. Keep one next.config.ts, same-origin rewrites. +- Historical donor release reports are historical evidence only; never represent v2 validation. + +Gates: seeded original UI screenshots and interactions before new feature work; backend/provider +and safety regression tests; real media Range/seek; ingestion mock integration; encrypted clean +restore; final build and Docker resource test. External activation and live credentials remain gates. diff --git a/docs/v2-release-readiness.md b/docs/v2-release-readiness.md new file mode 100644 index 0000000000000000000000000000000000000000..3d8c293b9a66b9f04f7724f486a8a94ef13e052d --- /dev/null +++ b/docs/v2-release-readiness.md @@ -0,0 +1,157 @@ +# Visual Mentor v2 — release-readiness report + +Reviewed 2026-10-17. **Development implementation ready for review; production +release remains blocked by external qualification and approvals.** No Hugging Face +Space or inference service was changed. No backup workflow was activated. + +Application code commit: `baff0d78f04ee5782af53a059f4a2672e56a1a8f` on +`feature/video-rag-mentor-v2`, created from main +`7f8922cad8adb7e73a5f95ecfbf5b1a73e5bd46f`. +The prior feature branch stays at `245b686c916f0fcb0aff50b305e27f399c32910d`; +deployment branch was inspected at `c59fcf7495bbb6a59f45fd7e2f06c48e594547e1`. +Neither prior branch was merged wholesale or rewritten. The attached v2 spec +replaces the old spec only on this new branch. + +## Implementation and audit outcome + +| Area | Delivered | Qualification limit | +| --- | --- | --- | +| Original Video RAG UI | Main Library landing/cards, Search, Ask, experiments/charts, Architecture, details, timeline and clip modal retained | Original and current screenshot review awaits user approval | +| First launch | Immutable synthetic teaching clips, transcript keyword search and labeled evidence-extract answers | No production corpus or live embedding/LLM inference implied | +| Remote RAG | Model/dimension/preprocessing/segmentation/corpus identity, isolated revisions and atomic CURRENT switch; compatible vector reuse; finite/shape validation | Only text embeddings implemented; actual model credentials unavailable | +| Media ingestion | 64MiB/30min limit, SHA dedup, persisted single-worker queue, CPU proxy/keyframes, 30s segments, remote STT, versioned text indexing, retry/cancel/manual transcript | End-to-end provider steps mocked; real FFmpeg and SQLite executed | +| Live | Two independently selected local streams, device persistence/change handling, start/stop/consent, 1–2fps sampled transfers/backpressure, exact-still overlays, freeze/fullscreen/local photo, timeline, voice and advisory guidance | Simulated cameras only; physical device/permission/browser matrix outstanding | +| Routing studio | Native cards, route matrix/form, draft profile name, YAML import/editor/export/diff, validation-gated CAS apply/rollback, synthetic traces and session overrides | Live provider test status is not persisted as a readiness claim; conditional advanced predicates remain YAML-editable | +| Route execution | Single, fallback, parallel all/first-valid/quorum, typed sequential, conditional; failure isolation and provenance-preserving fusion | No fabricated Laya geometry; no calibrated semantic voting or general ensemble claim | +| Private access | User/admin bearer separation, private metadata/media, Secure HttpOnly media-only cookie, origin checks and no credential values in YAML/URLs | HF private gateway and actual external browser access not verified; shared roles, not per-person accounts | +| Provider egress | HTTPS allowlist, private/metadata IP and redirect denial, pinned direct DNS/SNI, sensitive destination rechecks, reserved infrastructure secret-reference denial | Trusted proxy must enforce public-only DNS/metadata policy in actual staging | +| Backups | Consistent SQLite online backup, strict config history, encrypted bounded archives, media inventory/independent checksums, isolated private-permission restore, stale monitor and conservative retention | Local proof only; separate private repository, durable publisher, Action and off-Space restore still blocked | +| HF package | Pinned CPU Docker, FFmpeg, supervised Next/FastAPI, one exposed port 7860, API/media rewrites and Range | Local qualification only; no HF upload or production switch | + +The original design-system components and charts were retained. Old GPU-specific +Architecture/setup statements were corrected or moved into explicitly historical +research documentation. No local inference service is started by the cloud/dev +launchers. No arbitrary 200MiB optimization target is used. + +## Test evidence (live, real local and mocked are separate) + +- **96 backend tests passed**: strict YAML/security/contracts, lifecycle/stale/version + guards, partial failures/fusion/routing strategies, session overrides, protected + media cookie/Range, index compatibility/corruption, jobs, encrypted restore, + concurrent SQLite snapshot, secret/camera exclusions, missing/corrupt assets, + size limits, stale schedules and newest-restorable retention. +- **21 browser tests passed** in the final full-stack-enabled run: 20 use UI fixtures + or simulated devices; one uses the actual Next→FastAPI sample endpoints with no + HTTP mocks, verifies Library/detail/transcript seeking, search, Ask citations, + playable media/Range and Experiments. This is real local integration with a + synthetic corpus, not remote-provider inference. +- Before new features, **24 original main screenshots and clip interactions passed**. + Current 28 screenshot baselines cover six original routes at 1440/1280/768/390px + and Live/Models at desktop/mobile. [Comparison](v2-evidence/ui-comparison.html) + and [UI review matrix](v2-ui-review.md). +- ESLint completed with zero errors (one unused Architecture variable warning); + production Next build/TypeScript passed. The final Docker build also + executes the production web build. One Starlette TestClient/httpx deprecation + warning remains; it is not a runtime failure. +- **Real CPU FFmpeg** prepares a generated test clip, extracts remote-STT audio, + segments and keyframes. Mocked STT/embedding responses produce a real versioned + index and searchable timestamped API result. This does not verify Whisper/VLM + deployment compatibility or answer quality. +- **Real age encryption/decryption and clean temporary restore** use disposable + identities and a separate local asset-copy directory. SQLite integrity/content, + media hashes, staging isolation and private filesystem permissions are checked. + No GitHub Actions run, external storage availability or production recovery is + inferred from this local test. + +Evidence files: `v2-evidence/backend-tests.txt`, `browser-tests.txt`, `lint.txt`, +`build.txt`, `container.json`, `runtime.json`, `laya-live.json`. + +| Provider | Current evidence | Not established | +| --- | --- | --- | +| Laya | Live health/ready/info and a generated 64×64 image; backend=laya-vision, model=thaitea/laya-vision, placeholder=false; actual adapter returned advisory noul result in **22.632s** | Physical camera scenes, accuracy/calibration, free-form captions, boxes, concurrency SLA, cost or authentication enforcement | +| NVIDIA detection gateway | Mock HTTP schema/correlation/geometry, mixed Laya+detector parallel execution, partial failure/fusion | Actual endpoint/model/credentials and native NVIDIA protocol compatibility | +| Whisper-compatible STT | Mock multipart protocol and real FFmpeg audio processing | Actual endpoint/model/credentials and live timestamp/latency quality | +| OpenAI embeddings | Mock finite/dimension/version checks and real local index pipeline | Actual endpoint/model/credentials, retrieval quality or MRL support | +| OpenAI VLM/reasoning | Mock bounded image/transcript requests and cited answers | Actual endpoint/model/credentials, usage, cost or answer quality | + +A Laya authorization header was available through the runtime and sent without +logging its value, despite the configuration inventory not listing it. Other +provider endpoint/key variables were absent. No credentials were copied into +source, images, screenshots or evidence. [Contract details](providers.md). + +## Known failures found and corrected during qualification + +- Browser media cookie authentication originally failed due to cached request + headers; fixed at the actual auth boundary and tested through both ASGI mount + and production Next proxy, including byte ranges and no cookie auth for APIs. +- Sample comparison/Experiments handlers inherited FastAPI Query defaults on + internal calls; the unmocked browser test exposed the 500. Internal calls now + pass concrete values and API regression checks cover all sample comparisons. +- Invalid vector shapes/nonfinite data now fail explicitly before search. +- Placeholder model IDs cannot be enabled; all shipped templates start disabled. +- Imported profiles cannot reference reserved admin/infrastructure/recovery secrets. +- The workspace's VFS Docker build exhausted disk on redundant layers; obsolete + task build cache was removed and assembly changed to avoid duplicating FFmpeg + layers. No running inference containers/services were stopped. +- A simulated camera test exceeded its default 5-second startup wait under build + load. Its media-startup wait is now 15 seconds; final suite passes without retries. + +## Remaining release blockers + +1. **Explicit private backup repository approval** is pending. Proposed separate + repository `JsonLord/visual-mentor-backups`; reviewed templates and local bootstrap + are prepared. No creation, credentials or scheduled activation occurred. Latest + real private workflow success: **none**. Actual off-Space restore: **none**. +2. Select/budget/provision private durable state and media storage plus an immutable + source snapshot publisher. Current app state is local until externally backed. + Local Docker-volume recreation does not prove HF durability. Arrange trusted + external backup-status refresh. Large vectors/media and Git history compaction + need an approved retention/cost policy. +3. Run the private workflow manually, verify ciphertext committed remotely, validate + independent media availability, demonstrate offline-key clean restore and failure/ + missed-run alerts before enabling the 12-hour schedule as an operational service. + [Concrete installation/restore steps](backup-restore.md). +4. Supply approved NVIDIA, Whisper, embedding and VLM endpoints/model IDs/credentials; + qualify actual adapters, upload→index→Search/Ask, provenance, latency and cost. + Multimodal embedding adapters remain unavailable, not simulated by text vectors. +5. Complete physical laptop/USB dual-camera, browser/OS contention, device reconnect, + microphone and real provider frame-to-overlay latency tests. Laya's observed + 22.6s synthetic latency is not a rapid-live-overlay SLA. +6. Approve private HF staging, inspect/backup existing openweb, verify actual + anonymous rejection and authenticated roles, external egress, source revision, + storage recovery and real 2-vCPU/16GB workloads. User UI approval must precede + any production switch. No inaccessible Space screenshots/visibility are claimed. + +## Exact next operational steps + +[HF staging/deployment/rollback](deployment-hf.md) specifies approved staging repo, +source upload patterns, secrets/config, anonymous/authenticated checks, recreation, +visual approval and controlled rollback. [Backup/restore](backup-restore.md) specifies +private repository bootstrap, cron `17 0,12 * * *` UTC, external immutable-source +layout, scoped credentials, offline recovery keys, manual Action/restore evidence, +monitoring, retention and costs. Both activation paths require explicit approval. + +## Final container measurements + +Image `video-rag-mentor:v2-review`: **sha256:51259fc8221de63f5b4dfaf9e247e64e1496806ca88ca72f85ec243fae1ef1a3**; **860.5 MiB**. +Application code corresponds to the code commit identified above; later commits +contain evidence/runbooks and approval guards for the external backup templates. + +- Resource probe startup **8.893s**; independent authentication/volume qualification + startup **13.009s**. Both use **2 vCPU / 16GiB**, no GPU and network=none, with no + published host ports. UID 1000; no local inference packages/model weights/devices. +- Idle application process RSS **179.6 MiB**; sampled application RSS peak **203.7 MiB**; + cgroup peak **219.7 MiB**. RSS may count shared pages; cgroup measures the container. +- **180 successful HTTP requests**, p50 **9.97ms**, p95 **90.22ms**, alongside CPU FFmpeg + transcoding of the generated 60s clip and 50 searches over a synthetic **10,000×768** + normalized matrix. Combined in-process benchmark work **1.323s**. Aggregate workload + CPU time **2.876 CPU-seconds** over **1.871s** wall time including measurement probes. +- Private media cookie and bearer Range requests, user/admin separation, forbidden + origin rejection, CAS apply/rollback and state recovery after recreating the + container passed. Local Docker-volume recovery is not HF durability proof. + +These measurements exercise a small synthetic corpus and synthetic vector math, +not real dual-camera/provider traffic, production retrieval quality, large video +imports, long-duration capacity or provider costs. Actual provider/physical-camera +frame-to-overlay p50/p95 and deployment load remain staging gates. No provider +price was supplied; costs are unverified rather than estimated from invented rates. diff --git a/docs/v2-ui-baseline.md b/docs/v2-ui-baseline.md new file mode 100644 index 0000000000000000000000000000000000000000..1b5e5a7b02a8098547cd76b1c32f37d00265f214 --- /dev/null +++ b/docs/v2-ui-baseline.md @@ -0,0 +1,24 @@ +# Original UI baseline + +Verified 2026-10-17: origin/main `7f8922cad8adb7e73a5f95ecfbf5b1a73e5bd46f`; +feature/visual-mentor `245b686c916f0fcb0aff50b305e27f399c32910d`; +deployment PR branch `c59fcf7495bbb6a59f45fd7e2f06c48e594547e1`. +New development starts from main, not either donor branch. Prior branches remain unchanged. + +Protected: Library landing and three-column thumbnail cards, 1280px maximum content width, +24px gutters, system sans typography, dark #0d0d0d page / #1a1a19 surfaces, +#3987e5 accent; Nav/NavLinks, Controls, SegmentCard, ClipPlayer, +Search single/dim/view comparisons, Ask citation buttons and history, +Experiments Recharts/heatmap and query table, Architecture diagram, +video details with transcript and segment timeline. Mobile refinements may wrap controls. + +Baseline screenshots use deterministic synthetic sample metadata and actual generated playable media. +Provider responses in browser fixtures are mocked, including experimental scores; +these are UI regression data, never inference/evaluation evidence. +Capture sizes: 1440×1000, 1280×900, 768×1024, 390×844. +No authenticated HF credentials are configured; no openweb screenshot comparison is claimed. + +Initial capture gate: 5 browser tests passed (27.4s), including all 24 screenshots +and clip/citation interactions. Moving video pixels are masked for deterministic +image comparisons; video playback is checked separately. Main's Google font request +is unavailable here; Next used its documented fallback. No UI layout was changed. diff --git a/docs/v2-ui-review.md b/docs/v2-ui-review.md new file mode 100644 index 0000000000000000000000000000000000000000..44f620c2267b3523a194c0d91f0906e507355cc2 --- /dev/null +++ b/docs/v2-ui-review.md @@ -0,0 +1,30 @@ +# UI parity review + +[Open desktop/mobile screenshot comparison](v2-evidence/ui-comparison.html). +Baseline images are immutable snapshots from main before feature work; +current images live in committed Playwright screenshot directories. Main has no +Live or Models routes, so their comparison explicitly says no baseline exists. +All screenshot data is synthetic, not a live provider demonstration. + +| Original workflow | v2 evidence / intentional differences | +| --- | --- | +| Library landing, dense thumbnail grid and summary cards | Same Library component and tokens; import disclosure and private-library access added; labeled synthetic teaching slides replace test bars | +| Search query/deep links, single/dim/view comparisons | Same SearchView/cards; only actual indexed capabilities selectable; remote text/keyword sample distinction explicit | +| Ask cited evidence/history, inline clip modal | Original citation renderer and player retained; keyframe wording and missing token usage corrected | +| Experiments metric chart, heatmap, query table | Original Recharts/heatmap preserved; model/provenance label replaces false live benchmark claims | +| Architecture flow diagram | Same diagram components; current topology remote CPU, historical multimodal/MRL diagrams explicitly labeled | +| Video details, transcript, timeline and seeking | Original detail layout; graceful errors; authenticated media and public synthetic sample path | +| Keyboard and narrow navigation | Focus indicators and wrapped nav/control groups; 390px, 768px, 1280px and 1440px screenshots | +| Live addition | Original card/control tokens, fluid local previews, exact-still overlays, explicit capture/transfer, timeline and guidance | +| Models addition | Original dark palette/cards, native route matrix and form builder, YAML review/apply, synthetic trace and admin backup status | + +Automated gate before feature work: 24 original screenshots + clip/citation +interactions passed. Current suite compares the intentional new baseline and +retains original screenshots for human review. It does not claim pixel equality +with main after adding navigation, safety copy, import and access controls. +Screenshots include Next dev's cache-disabled badge; it is absent from the +production Docker build. Font download was unavailable for main capture; v2 uses +the same system sans and a local monospace fallback without runtime font egress. + +A physical browser/hardware and final user visual approval remain staging gates. +No screenshots of inaccessible private openweb were invented. diff --git a/docs/validation.md b/docs/validation.md new file mode 100644 index 0000000000000000000000000000000000000000..c6d071b2a74dacfe2a400485d2d3bd0ad6673fbb --- /dev/null +++ b/docs/validation.md @@ -0,0 +1,47 @@ +# Visual Mentor v2 validation + +The current qualification is [v2-release-readiness.md](v2-release-readiness.md), +with raw evidence under [v2-evidence](v2-evidence/) and the +[UI comparison](v2-evidence/ui-comparison.html). + +The original main UI was captured before new feature work. Local sample/CPU and +mock-provider tests are explicitly distinguished from live Laya and from pending +HF, physical camera, NVIDIA, Whisper, VLM, embedding and private-backup gates. + +Reproduce backend and browser tests with an isolated data directory. For the extra +real frontend/backend sample smoke test, start FastAPI on loopback 8000: + +``` +VRAG_DATA=/tmp/mentor-test-data VM_STATE_DIR=/tmp/mentor-test-config \ + python -m uvicorn vrag.api:app --host 127.0.0.1 --port 8000 +``` + +Then, in a separate shell: + +``` +python -m pytest -q +npm --prefix web run lint +npm --prefix web run build +cd web && VM_FULLSTACK=1 CHROMIUM_PATH=/usr/bin/chromium npx playwright test +``` + +Playwright starts its own loopback web server on the existing app port 7860. Real +age encryption tests require `age`/`age-keygen` on PATH (or AGE_BIN selecting age); +otherwise those tests are skipped rather than reported as encryption evidence. +The recorded run installed age in a temporary tool directory and had no skips. + +Neither test suite starts DGX/model services or sends production/camera data. +`check-laya.py --synthetic` is a separate, explicit live-generated-image test. +Docker qualification starts only its own ephemeral network-isolated containers, +publishes no ports, and cleans up its own volumes/containers. Private Space and +backup workflow activation require the runbooks' explicit approvals. + +## GitHub-native backup refactor + +The subsequent backup qualification and unresolved live gates are recorded in +[github-backup-migration.md](github-backup-migration.md). Successful recovery unit +and subprocess tests use real age/SQLite/FFmpeg with mocked GitHub transport; they +are not a successful live GitHub or private-HF scheduling integration test. +Opt-in live drill: `AGE_BIN=/path/to/age python tests/live_github_recovery.py`. +It writes only a unique test namespace and refuses to claim success unless a fresh +application recovers all file hashes after destruction of its source/stage. diff --git a/env.example b/env.example new file mode 100644 index 0000000000000000000000000000000000000000..28afbe9e5bc19d0ed69339312ce4abeba93b3cbf --- /dev/null +++ b/env.example @@ -0,0 +1,24 @@ +# Set values in Hugging Face Space Secrets / Variables, never in frontend or YAML. +VM_ADMIN_TOKEN= +VM_USER_TOKEN= +VM_ALLOWED_HOSTS= +VM_ALLOWED_ORIGINS= +# Optional persistent mount; omit for read-only defaults. +VM_STATE_DIR= +VRAG_DATA= +VRAG_INDEX_DIR= +VLM_BASE_URL= +VLM_API_KEY= +EMBEDDINGS_BASE_URL= +EMBEDDINGS_API_KEY= +WHISPER_BASE_URL= +WHISPER_API_KEY= +NVIDIA_DETECTION_BASE_URL= +NVIDIA_DETECTION_API_KEY= +LAYA_BASE_URL= +LAYA_API_KEY= +VRAG_SAVE_ANSWERS= +# Read-only trusted report refreshed from the private backup repository monitor. +VM_BACKUP_STATUS_FILE= +# VRAG_DATA and VM_STATE_DIR are ephemeral unless an approved durable backing store is mounted. +# Backup destination/credentials are configured separately in the private backup repository. diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..8923d0a1ac9b421ea8af25ccd0acd2d6ef35fa3c --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,38 @@ +[project] +name = "vrag" +version = "0.1.0" +description = "Multimodal video RAG over YouTube videos with EmbeddingGemma 2 + Gemma 4 12B" +readme = "README.md" +requires-python = ">=3.12" +dependencies = ["fastapi==0.143.0", "uvicorn==0.54.0", "numpy==1.26.4", "pillow==12.3.0", "python-multipart==0.0.32", "httpx==0.28.1", "pydantic==2.14.0", "PyYAML==6.0.3"] + +[project.optional-dependencies] +offline = ["av", "soundfile", "librosa", "yt-dlp[default,curl-cffi]", "webvtt-py", "jiwer", "openai>=1.40", "rich", "typer"] +legacy-local = ["torch>=2.11", "torchvision", "torchaudio", "transformers>=5.19.0", "sentence-transformers>=6.1.0", "torchcodec", "accelerate"] + +[tool.uv] +package = true + +[[tool.uv.index]] +name = "pytorch-cu130" +url = "https://download.pytorch.org/whl/cu130" +explicit = true + +[tool.uv.sources] +torch = { index = "pytorch-cu130" } +torchvision = { index = "pytorch-cu130" } +torchaudio = { index = "pytorch-cu130" } +torchcodec = { index = "pytorch-cu130" } + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["vrag", "config"] + +[project.scripts] +vrag = "vrag.cli:app" + +[dependency-groups] +dev = ["pytest==9.1.1", "pytest-asyncio==1.4.0", "psutil==7.2.2"] diff --git a/requirements-runtime.in b/requirements-runtime.in new file mode 100644 index 0000000000000000000000000000000000000000..2bc6f8f2a22b3b9516c4a785669c9a0c4605927b --- /dev/null +++ b/requirements-runtime.in @@ -0,0 +1,8 @@ +fastapi==0.143.0 +uvicorn==0.54.0 +numpy==1.26.4 +pillow==12.3.0 +python-multipart==0.0.32 +httpx==0.28.1 +pydantic==2.14.0 +PyYAML==6.0.3 diff --git a/requirements-runtime.txt b/requirements-runtime.txt new file mode 100644 index 0000000000000000000000000000000000000000..eacaa80f8e524dcb2c9e7daffd018f08560864f9 --- /dev/null +++ b/requirements-runtime.txt @@ -0,0 +1,430 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile requirements-runtime.in --generate-hashes --output-file requirements-runtime.txt +annotated-doc==0.0.5 \ + --hash=sha256:117bac03a25ede5df5440e855b32d556049ca169ead221505badf432fed4b101 \ + --hash=sha256:c7e58ce09192557605d8bbd92836d7e1d520ac9580096042c0bfd197efacf1bb + # via fastapi +annotated-types==0.8.0 \ + --hash=sha256:13b2beaad985e05e2d6407ee4c4f35590b11f8d693a258a561055cac8f64cab7 \ + --hash=sha256:f072f4d804ea359e4eaf198b1af7a8b0943881a87f31bb764f8bf219bb9419e0 + # via pydantic +anyio==4.15.1 \ + --hash=sha256:6152fdbbf9a77fdec97731721bebf7c4c44f7c29b424b0065826173efc7ed101 \ + --hash=sha256:9f28306018cbd6d329e64a36d58256edff76dd996fe423bc957326e578b82a94 + # via + # httpx + # starlette +certifi==2026.7.22 \ + --hash=sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775 \ + --hash=sha256:741e2c3b351ddf169a738da9f2c048608ff7f2c5cc02f1ebc6b118bb090d5d55 + # via + # httpcore + # httpx +click==8.5.0 \ + --hash=sha256:255bc9599cf7748b4b1a446ccc735421bd08a2ae529a8b88597d3de5664ee360 \ + --hash=sha256:ba0d2089de75ea0310e2dde03160e6ca10009947fb95a182f9b54021bb272e34 + # via uvicorn +fastapi==0.143.0 \ + --hash=sha256:1acffe48206a80917cf7dac21992b5c44b25384e8902bf745c1fd9dabcf6c51f \ + --hash=sha256:3e9395fd35276425b61b516a31fdd7c77fe2af83e41b4da22e30696fb1304c5d + # via -r requirements-runtime.in +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # httpcore + # uvicorn +httpcore==1.0.9 \ + --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ + --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8 + # via httpx +httpx==0.28.1 \ + --hash=sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc \ + --hash=sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad + # via -r requirements-runtime.in +idna==3.20 \ + --hash=sha256:a7db850025b95ded1eae8a46181a1a6c56c92c96f0e2b005d9ff8dc0210cab44 \ + --hash=sha256:ab7ae7122974553370f0bdb919e1a960b2cd1bc1ef0276416d896db81c14582c + # via + # anyio + # httpx +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via -r requirements-runtime.in +opentelemetry-api==1.45.1 \ + --hash=sha256:aa38ed19bcc084ba42782a73255b3582283eced7ad6dddbd6695189e69adfb75 \ + --hash=sha256:b31553efa588ae44bc306f863c785c5333a9ecc091248c6ee68b4b6c87fdedfb + # via fastapi +pillow==12.3.0 \ + --hash=sha256:00808c5e14ef63ac5161091d242999076604ff74b883423a11e5d7bbb38bf756 \ + --hash=sha256:04f01d28a6aaff387bf842a13be313df23ba0597a44f1a976c9feb3c6ff4711a \ + --hash=sha256:06ff022112bc9cbf83b60f8e028d94ad87b60621706487e65f673de61610ab59 \ + --hash=sha256:0740a512dc522224c77d9aa5a8d70d8b7d73fb91f2c21125d8d025d3b8990e45 \ + --hash=sha256:0847a763afefb695bc912d7c131e7e0632d4edc1d8698f58ddabec8e46b8b6d3 \ + --hash=sha256:0dd2064cbc55aaec028ef5fbb60fa47bb6c3e7918e07ff17935284b227a9d2df \ + --hash=sha256:0feb2e9d6ad6c9e3c06effe9d00f3f1e618a6643273576b016f591e9315a7139 \ + --hash=sha256:10e41f0fbf1eec8cfd234b8fe17a4caac7c9d0db4c204d3c173a8f9f6ef3232b \ + --hash=sha256:1182d52bc2d5e5d7d0949503aa7e36d12f42205dc287e4883f407b1988820d39 \ + --hash=sha256:164b31cd1a0490ab6efae01aa5df49da7061be0af1b30e035b6e9a1bfe34ee6e \ + --hash=sha256:1657923d2d45afb66526e5b933e5b3052e6bdea196c90d3abb2424e18c77dae8 \ + --hash=sha256:186941b6aef820ad110fb01fb06eb925374dc3a21b17e37ec9a53b250c6fe2d1 \ + --hash=sha256:1cca606cd25738df4ed873d5ad46bbdb3d83b5cbca291f6b4ff13a4df6b0bbe8 \ + --hash=sha256:21900ce7ba264168cd50defae43cd75d25c833ad4ad6e73ffc5596d12e25ac89 \ + --hash=sha256:236ff70b9312fb68943c703aa842ca6a758abfa45ac187a5e7c1452e96ef72b5 \ + --hash=sha256:23aceaa007d6172b02c277f0cd359c79492bbb14f7072b4ede9fbcaf20648130 \ + --hash=sha256:23d27a3e0307ec2244cc51e7287b919aa68d097504ebe19df4e76a98a3eea5bd \ + --hash=sha256:24870b09b224f7ae3c39ed07d10e819d06f8720bc551847b1d623832b5b0e28d \ + --hash=sha256:251bf95b67017e27b13d82f5b326234ca62d70f9cf4c2b9032de2358a3b12c7b \ + --hash=sha256:25b9b82bb22e6e2b3cd07b39c68b7b862001226cb3dff7130d1cb914121b39ed \ + --hash=sha256:28ce87c5ab450a9dd970b52e5aca5fe63ed432d18a2eaddd1979a00a1ba24ace \ + --hash=sha256:300557495eb45ebb8aec96c2da9c4be642fbf7cd937278b4013ba894ea8eb0eb \ + --hash=sha256:30f2aa603c41533cc25c05acd0da21636e84a315768feb631c937177db558931 \ + --hash=sha256:331b624368d4f1d069149002f25f44bc61c8919ce8ddb3c45bdad8f6e2d89510 \ + --hash=sha256:37d6d0a00072fd2948eb22bce7e1475f34569d90c87c59f7a2ec59541b77f7a6 \ + --hash=sha256:37dc8f7bbb66efe481bb60defacef820c950c24713fb44962ed6aa2a50966de1 \ + --hash=sha256:3b8182a766685eaa002637e28b4ec8d6b18819a0c71f579bf0dbaa5830297cce \ + --hash=sha256:3edce1d53195db527e0191f84b71d02022de0540bf43a16ed734ed7537b07385 \ + --hash=sha256:446c34dcc4324b084a53b705127dc15717b22c5e140ae0a3c38349d4efec071e \ + --hash=sha256:4998562bf62a445225f22e07c896bb04b35b1b1f2eb6d760584c9c51d7a5f78c \ + --hash=sha256:4b0a7fe987b14c31ebda6083f74f22b561fd3739bc0ac51e019622e3d72668c7 \ + --hash=sha256:4e8c2a84d977f50b9daed6eeaf3baef67d00d5d74d932288f02cb94518ee3ace \ + --hash=sha256:4f883547d4b7f0495ebe7056b0cc2aea76094e7a4abc8e933540f3271df27d9c \ + --hash=sha256:514435a37670e3e5e08f3945b68718b6ed329bb84367777e16f9f4dfe1e61a0f \ + --hash=sha256:53aa02d20d10c3d814d536aa4e5ac9b84ca0ff5a88377963b085ad6822f93e64 \ + --hash=sha256:5594fc43d548a7ed94949d139aa1341b270f1863f11cfd37f5a6c8b778a6b67f \ + --hash=sha256:571b9fcb07b97ef3a492028fb3d2dc0993ca23a06138b0315286566d29ef718a \ + --hash=sha256:57b3d78c95ba9059768b10e28b813002261d3f3dfc55cc48b0c988f625175827 \ + --hash=sha256:5afb51d599ea772b8365ae807ae557f18bccfe46ab261fd1c2a9ed700fc6eb17 \ + --hash=sha256:6b02afb9b97f65fbca5f31db6a2a3ba21aa93030225f150fa3f249717e938fb4 \ + --hash=sha256:6c0016e7b354317c4e9e525b937ac8596c38d2d232b419529b9cd7a1cd46e39a \ + --hash=sha256:71d6097b330eea8fd15097780c8e89cb1a8ce7838669f48c5bacd6f663dd4701 \ + --hash=sha256:756c768d0c9c2955feb7a56c37ea24aea2e369f8d36a88da270b6a9f19e62b5e \ + --hash=sha256:78cb2c6865a35ab8ff8b75fd122f6033b92a62c82801110e48ddd6c936a45d91 \ + --hash=sha256:7a743ff716f746fc19a9557f60dab1600d4613255f8a7aeb3cdde4db7eb15a66 \ + --hash=sha256:85f998ea1848bc6757289e739cfbdda3a04adfd58b02fc018ce54d754a5ce468 \ + --hash=sha256:8728f216dcdb6e6d555cf971cb34076139ad74b31fc2c14da4fafc741c5f6217 \ + --hash=sha256:877c3f311ff35410f690861c4409e7ccbf0cd2f878e50628a28e5a0bb689e658 \ + --hash=sha256:8cd2f7bdda092d99c9fc2fb7391354f306d01443d22785d0cbfafa2e2c8bb418 \ + --hash=sha256:8e95e1385e4998ae9694eeaa4730ba5457ff61185b3a55e2e7bea0880aef452a \ + --hash=sha256:962864dc93511324d51ddbb5b9f8731bf71675b93ca612a07441896f4688fb8c \ + --hash=sha256:9cf95fe4d0f84c82d282745d9bb08ad9f926efa00be4697e767b814ce40d4330 \ + --hash=sha256:9e881fca225083806662a5c43d627d215f258ff43c890f831966c7d7ba9c7402 \ + --hash=sha256:a2b55dd6b2a4c4b7d87ffa56bdb33fdc5fdb9a462173861a7bc097f17d91cb09 \ + --hash=sha256:a45650e8ce7fafffd731db8550230db6b0d306d181a90b67d3e6bca2f1990930 \ + --hash=sha256:a876864214e136f0eb367788dbd7df045f4806801518e2cfe9e13229cfe06d8f \ + --hash=sha256:ae26d61dfa7a47befdc7572b521024e8745f3d809bd95ca9505a7bba9ef849ec \ + --hash=sha256:af8d94b0db561cf68b88a267c5c44b49e134f525d0dc2cb7ed413a66bc23559a \ + --hash=sha256:b343699e8308bdc51978310e1c959c584e7869cc8c40780058c87da7781a1e94 \ + --hash=sha256:b3c777e849237620b022f7f297dd67705f9f5cf1685f09f02e46f93e92725468 \ + --hash=sha256:b629de27fda84b42cde7edef0d85f13b958b47f6e9bbcbba9b673c562a89bd8b \ + --hash=sha256:ba09209fbe443b4acccebe845d8a138b89a8f4fbaeedd44953490b5315d5e965 \ + --hash=sha256:ba54cfebe86920a559a7c4d6b9050791c20513650a1952ebe3368c7dc70306f8 \ + --hash=sha256:bcb46e2f9feff8d06323983bd83ed00c201fdcab3d74973e7072a889b3979fcd \ + --hash=sha256:bcc33feacfaefce60c12fd500a277533bdc02b10a19f7f6d348763d8140bbba7 \ + --hash=sha256:bf16ba1b4d0b6b7c8e534936632270cf70eb00dbe09005bc345b2677b726855c \ + --hash=sha256:cf1845d02ad822a369a49f2bb9345b1614744267682e7a03527dc3bf6eea1777 \ + --hash=sha256:d69141514cc30b774ceea5e3ed3a6635c8d8a96edf664689b890f4089111fb35 \ + --hash=sha256:d9c7f76c0673154f044e9d78c8655fb4213f6ca31a836df48b40fe5d187717b9 \ + --hash=sha256:dbce0b29841537a2fa4a214c2bbf14de3587c9680caa9b4e217568472490b28f \ + --hash=sha256:dc624f6bc473dacdf7ef7eb8678d0d08edf15cd94fad6ae5c7d6cc67a4e4902f \ + --hash=sha256:e158cb00350dc278f3b91551101aa7d12415a66ebf2c91d8d5ac14e56ddd3ad0 \ + --hash=sha256:e491916b378fba47242221bb9ead245211b70d504f495d105d17b14a24b4907c \ + --hash=sha256:e795b7eb908249c4e43c7c99fac7c2c75dab0c43566e37db472a355f63693d71 \ + --hash=sha256:e7e480451b9fa137494bccd3a7d69adbe8ac65a87d97be61e11f1b1050a5bac3 \ + --hash=sha256:e91206ee562682b51b98ef4b26a6ef48fd84e15fd4c4bc5ec768eb641d206838 \ + --hash=sha256:e9871b1ffbfa9656b60aeee92ed5136a5742696006fa322b29ea3d8da0ecc9cf \ + --hash=sha256:e9aeb04d6aef139de265b29683e119b638208f88cf73cdd1658aa07221165321 \ + --hash=sha256:ebaea975e03d3141d9d3a507df75c9b3ec90fa9d2ffd07567b3a978d9d790b26 \ + --hash=sha256:f0606c8bf2cdefea14a43530f7657cbbb7ecf1c4222512492ef4a4434a9501ec \ + --hash=sha256:f13c32a3abd6079a66d9526e18dad9b6d280384d49d7c54040cd57b6424041d9 \ + --hash=sha256:f7401aebd7f581d7f83a439d87d474999317ee099218e5ad25d125290990ba65 \ + --hash=sha256:fa4ecea169a355be7a3ade2c783e2ed12f0e40d2c5621cda8b3297faf7fbb9f5 \ + --hash=sha256:fbd139c8447d25dd750ab79ee274cc5e1fe80fc56340ab10b18a195e1b6eca3e \ + --hash=sha256:fdafc9cce40277e0f7a0feabce0ee50dd2fa1800f3b38015e51296b5e814048d \ + --hash=sha256:fe3cca2e4e8a592be0f269a1ca4835c25199d9f3ce815c8491048f785b0a0198 \ + --hash=sha256:ffd0c5368496f41b0944be820fcb7a838aa6e623d250b01acf2643939c3f99d7 + # via -r requirements-runtime.in +pydantic==2.14.0 \ + --hash=sha256:15fab1bea6f1dc5003b54fc2ecab230c1fd1dbade2acd4addc52d81e32416d4b \ + --hash=sha256:8a51a7aaddd60f55566d1f07bdd87b92b463903f39a8f26b71a06314cd1548ae + # via + # -r requirements-runtime.in + # fastapi +pydantic-core==2.50.0 \ + --hash=sha256:00963fde61cf8880d9e7b5635a9830e0591edfa45168447fdc5b47635c0f6437 \ + --hash=sha256:01340f4fbb4f854b1f36a6fe9dcd2b26c8936aead4e4ad1205624ac025c875fc \ + --hash=sha256:02ec3675d606a355523e1c52bf5aa4116776f8d273dba03d8336a5a3ae984e15 \ + --hash=sha256:031867348c98ab49c6d3a16ad39738369ea48da59900d76d71c1e64de71fe79b \ + --hash=sha256:0393763d66f6f61715488d074a2cefac04aeb3ee281e36fb4925dd44deaf9e17 \ + --hash=sha256:049b0404792dcb942f1092bfdae5f819ef30445b0d174782e1909fbdd91bb48b \ + --hash=sha256:0abe1b44d361b948404b6b2ed80be2583e0077340572e071afa6e0eda4e1de30 \ + --hash=sha256:0def1dc09802a790e4a1b3cbc4401f0b53c58f273ce3671df9867f7bdf1fbe20 \ + --hash=sha256:0fdeda6272d60b1f6fb63f6a3dade55e274af62e1514d24a6549a12150c385cc \ + --hash=sha256:1541c334af5d42cb9eb03862a9b4d2cfbfc670fd05172ec51f3ce02d704550f1 \ + --hash=sha256:158749408ee19682b8a2a7e7135cced7f41d6f2f9de96088b1b1609858a6a158 \ + --hash=sha256:1751e92d56fbb623b937d73985e500b1a2b1053e56f718a6c564660d99bb9cb0 \ + --hash=sha256:1773001198030e16f946a7ff7760fc3ebd45b12150f66fd0f433780043dc13d8 \ + --hash=sha256:17a5ca9c197788a6424749a09a3dce824cb2c17b72f835f8a5e330935b973609 \ + --hash=sha256:1bbd7da16d8b2912cc56c9d0b85c4998a6cbf39b220f81c0d8c397c64672ae0e \ + --hash=sha256:2092ce156f92aff17e3345baba2b7c0c1701f32ba922c5de71bd6248fbe164e3 \ + --hash=sha256:21b62d45f327eb0802f842c132fda6d01a8376a8077922dc4dda69011c64d34a \ + --hash=sha256:21e38a011783d8afc8b9d79928e273d06f349b52ae84edf63ec18ad07f077484 \ + --hash=sha256:23e0940b7d73f405d92e98b2a05b93b16db163be13b7478bb19e1db2e486ade6 \ + --hash=sha256:24302bf47319a64e5c5c7c29e971d2b7a20a190c64e59035a3df9582dec636fa \ + --hash=sha256:243088c95e23b12db9f2cd7661d584a3f00814e087489f40cde7f9feac56b694 \ + --hash=sha256:2568b190075acd058513dca34f7fddc7252fc958c1591cb67a554338fc9a81b2 \ + --hash=sha256:2918547195ffb20118b829fdb8938e9dc92c9527fe6cbe58572594c96362880e \ + --hash=sha256:2f28a5a299d4cefd1066a6883d22600b9ae3606f881c3015d255784634647580 \ + --hash=sha256:34a4a0938eb30931baca56e55786c5a6871ac7aa891a38c8cabcdb7e49dab91b \ + --hash=sha256:350001f5573451150d919722ee095aa28bec037d6e23b86d7f04581a910fe924 \ + --hash=sha256:364f62d8024997536e57865cb1c8b36effad3249bf392a29a2379ea69db28238 \ + --hash=sha256:36c49d4e1769127461b609f110d91963790091ffcc2de401ac1d3b2f6a63bd54 \ + --hash=sha256:36f9ed6ae1069913e4f6e86d8233e119e83e00a20c54f88faf9c81292f2fecc0 \ + --hash=sha256:38b03c5439c6a7a952f56e3e6596dae44bc78c3fb6a69df46cabfb2f888e5f0c \ + --hash=sha256:3b2f3e44af4c6512dd73557621385a71b18094c8be81d60e5a8e73a8ce96b7f4 \ + --hash=sha256:3fce74add1099da1ea09473268950270071fd56773e2968604efb3ab1d240e02 \ + --hash=sha256:41b9f2821f0a105f88cd54ad03fe1392ec600618ffa8610f7c5e466ecd98c531 \ + --hash=sha256:42a56b0052ac11d9d0d87b1c94a1ce52e31914fd133f269585e0f63a4ed988f2 \ + --hash=sha256:42fff617cb0b08505d8123d71e6e7a8e54210d9007498f564855bd843ce984b1 \ + --hash=sha256:468f7e67cfbd8231f442af6726449efe46f2be0e5a57b44fba7ccd92c6f121c4 \ + --hash=sha256:4b1bae96f41806b14dd8bb1568d39b5e33b5af7fb27f7be36c78b8fa84708917 \ + --hash=sha256:4f31af62efd1fd0257735b72e6716b32d4f207654adeabfe524d44baf1bb6bed \ + --hash=sha256:4f96ccd9368ecbf6685d8f6981584ab72b4f0ffd20685e747737e7e340277b8d \ + --hash=sha256:4faa766450ef44d9eabed5b65a280f63f903d1e1ed6d2e278961eb22345ec49f \ + --hash=sha256:50920d66aaab60dbc6023c3035d55fbabfa58b6d205d0b39d47d820c4a7a13a8 \ + --hash=sha256:5307a8bd49158b57a0ca4e10950d31085aa35d9007e934047043ccc6d28eea97 \ + --hash=sha256:55684bc850059fc85ff8dc21a3e342b722d3178993c49ebdfdee8b698a432720 \ + --hash=sha256:56178c4116fc0c859786875ff4acc1c8d52678f095c312b0eff2a2dd9d6f8d5f \ + --hash=sha256:57c0e5b26d82bf31ab2b044781527b1b1a36e9ed400856b6aca5097eb1abb909 \ + --hash=sha256:586699b43066ca6038f96bd71d0eff0b6c292929e3d66ff63d5dc79d0f06d589 \ + --hash=sha256:588d309ce5c85448379556d72011b191c0414ee2e80d7c3f1ebe2ceb2d9027b1 \ + --hash=sha256:593dd4f24abeb3ed90222f98bc6eefcac68cd5aa96fc7745f93862a802952bce \ + --hash=sha256:59f816dc04e99627a5a6352ae51dfb30e603f2cb0b7009c91dc640c533def014 \ + --hash=sha256:5a07c644047f5abc268b4c39f8cb5a30e08a3c349228cb70142c7d3ed87587c0 \ + --hash=sha256:5a8403eef4a66743e339102fb3cdd8c8b9016b8bd67924685893d062c88896f9 \ + --hash=sha256:5d0b210c871486f5acb56d87bf00e3c5d83aab6a1ef3042629fa6ae0172fcf47 \ + --hash=sha256:5dbf9f18c8af11db719e67633be0af556d7d765bee0ca9419bd706fe4b7ed9fe \ + --hash=sha256:610e9f483ac53c5cc59c2d3687224029b54eb494feec2d40a2bcfdd187635192 \ + --hash=sha256:62a93a9d206a3580c975c3c1f65a869cd063844d016c004f8d786a9309b3c591 \ + --hash=sha256:62ec6568896e0abf258cbcd22c406c1c8bf27d16224b21bec8f75c4ae88a8173 \ + --hash=sha256:63263d64884688554fb025a3906c7b00573980cfee75f9afeb86239d577384bc \ + --hash=sha256:68421ba548f6d86c7dededd70bfe530b4faf67eb811c53c70a1be69438d3ce99 \ + --hash=sha256:6e1ec4176c3b56017745937dfd4a3ec6df55f7f0e66991124499f3f79f8f8d1f \ + --hash=sha256:70df7ff903aea05383298715ea53551c8f27c8f70cbe54ba7f05606cd822e7e4 \ + --hash=sha256:71061800a3c225e730f7997f8a7fad6e0d0dcbe36609cdc7e60576a099a2832b \ + --hash=sha256:718d05d4e078c7828f40ad3e310870fe4b837d93a32e7e8497a080c1f1040490 \ + --hash=sha256:732efbb50977ab7cf18f01d4c255834aeb14cb2425459f7bff681a1ba3a4ffa1 \ + --hash=sha256:74cbb6cbd74445ca279668790e0c10eccac0428fd79fe061fce6c9e3982ad3fe \ + --hash=sha256:753863dd4317ec8cc9eb3e6d9d01a8ef1a1726a8003b4354658d68a1ae05f9db \ + --hash=sha256:75b451ec5e64a1d4b803317f34710131742ff2e42f4bf5403f597d0af857d7d8 \ + --hash=sha256:779b6c74526596a86d38248dedaecfb7851bbaf319c234be042c57acddd2c8c4 \ + --hash=sha256:7987866a2569396e6765c54d643fd6a7b3b234e89ee8d45a3729a7b4b2726145 \ + --hash=sha256:79e8fc9c135ef628c45cb8aa5deef8d21de13d33bb4c59a859fa73d335ceb40a \ + --hash=sha256:7eee44c3f1f8acc220a743a5ed5588949a4f18b33df4cfbef2b1277470285401 \ + --hash=sha256:8447678b49412294801c9ea15ae31ea3bae7da65425268c92d40e032c38eac6f \ + --hash=sha256:84d2d38f7d163c4dec292f379e9de1960c661795442aca6c90d706436cb3749e \ + --hash=sha256:8ab9e74878172948e0426e3d27fba333fd6a1c3f9456d8e75643e8e6868ac1a1 \ + --hash=sha256:8ad8dad549cd1645be591a50b4573995ee7e018f6619ddc2bc6ea44b2ad9f694 \ + --hash=sha256:8b16e164205a90b1050d2f5469f8a7829db7698ad198c69e6aab6cbfb5648b87 \ + --hash=sha256:8f16bc5bb12f4c581b0f40facc28dbf286db32d1bf4e7e4f4c4e0f7f4e34ecf9 \ + --hash=sha256:8facaf0a16121ac82cc403a71399a061b74624c1ae2034eec9ed6169c5d16ecb \ + --hash=sha256:90874428bc6678b26434336c77931c9734ecebedf50132c179205e5a9908761d \ + --hash=sha256:92016718bcf3e6f35a6bd986880191a8da7a35aa1f5b1e97544582ef938464cf \ + --hash=sha256:9279f4be22bc3765dd9f61f5b4d38d9cb219d167bbd6f2e0ffa3368b1b71b4d1 \ + --hash=sha256:933f2d639eb81a3e1f145aec415453cc00983236629933f028d9507222583a2e \ + --hash=sha256:93502b3c762149a5904316ef52f0ed1ea721e0f4c8431f964f140ed15fa61926 \ + --hash=sha256:955d7878130dfc124d6a5343e1b87d2933244fe14a4a0a3e98787e8e660a8eb4 \ + --hash=sha256:980c81c2ec53ea9eb2227c14b3e6de35670b2de163b638f2a803e90a3bd5bbb0 \ + --hash=sha256:99e203d5c2a814facef78dcd993b0fb7a933124a3475a38979fc09cceae210b7 \ + --hash=sha256:a2b88f9f9fa52e1c34938ff1a18ee7fbffe482df0bb43c087a9a60578d273d68 \ + --hash=sha256:a3e8ee6386f6b68e2f818ccf422ccfafc59bcff10862b52c7819db3aa0352dfc \ + --hash=sha256:a7080928078ff56c07da393392f772054e93a39c8033dc9c04547bd949f9b614 \ + --hash=sha256:a8ee3965e01f10e4ff92ba1727626328ab7ba93bcd5674ff2b78ea1048ee0cea \ + --hash=sha256:ab3f95f737fc1b258b8210308fc02ce1442cf5950cf6d30b09ad89ab9e8afebd \ + --hash=sha256:ac223ea031905319a64d0df116979ae438b42d6265862a3d63c9f9808c2905a7 \ + --hash=sha256:ad3532291deedfdfcad3cf5d351d0076d646c68a0c63869a1bebf87c22159600 \ + --hash=sha256:ad9185366893714cd4514ae5e1a098227704fa395cb41a7855d75968ecedc826 \ + --hash=sha256:ae45853d25a23fba56681d2f9ed41f3e3f12f0a3b2393fefa08ff6406320a1f5 \ + --hash=sha256:af2b808a79bb04075e87c81a5b6179365b93f9a851f29dafd67abff72085d0c8 \ + --hash=sha256:b123f9d8702106f39dc3af63a031ca8b5279862a3747ec6c03ca49dbe78b71b9 \ + --hash=sha256:b1399f918aea8fb76ffa99b474c9b768accea1f079fde407ee538bec89f20fa7 \ + --hash=sha256:b916ff828d604d4311a5639b7b3da51eaea3923833ec3e300a5ee35eade99691 \ + --hash=sha256:b9be297ffe1015bfb2db4a23b6e1fec7e48361cf7c7b4f4f6bbdd008451b0a7b \ + --hash=sha256:bc87bd34239835c8d73171acd039e591cea0a2ca8615e6188044ad170a40fca1 \ + --hash=sha256:bd841dcf394ff261c26763a9d7be754176d4f1e6d26cb2a5d5331e91b6b56a5f \ + --hash=sha256:bdd70c2d9e73bca09fad54605dfeaae2b4e770b2800c65f5f5342901ed567b9f \ + --hash=sha256:c05b75ef3574c9ee4e05bbcf8513f7ccb155d426514be9efef5f6f53152d5f5c \ + --hash=sha256:c05d035e72530f6b00297941b0162218601542b76870c3bf2756bd87f16fc538 \ + --hash=sha256:c19500343957f254ecf3e60174f4a4cdd21690e0e1677740a8017d28ab2a2a4b \ + --hash=sha256:c21e6a6e4e6d32fb6acbc4f0fa69e8319cac0d65eeaa8298d757371cc2a9c687 \ + --hash=sha256:c2b246fa7cbdf9918488d1542a82bbb928cf71bcba66905c24131981e759ff0b \ + --hash=sha256:c2e97985641fe53ad7824d1b5bfeb7990a5ff788c4559ee44d7522642560ddc2 \ + --hash=sha256:c3ae59461625518449f800acc4f874753ae96fcf993c47a27be07beb651371fd \ + --hash=sha256:c4abc425789f8540e86ca4cfdbc8dc650433cc2ac7c6136fee9bcb29d5665a02 \ + --hash=sha256:cb4fcaabb28cabf21396a9b816b9afe091f8c776805fdf03e2cbc606b64dfa7c \ + --hash=sha256:cbce1b5a2a88a465d7865df61b7e4f8829ddc49b4fa841e9b241815c9d67c3b2 \ + --hash=sha256:cf150693a51ca21e8288cd08a9de05e5ab331776dfcfd0537b14523338f0502a \ + --hash=sha256:cf81432281af66ba3285b26b09c2d478d84730dc50ff90926c1bdcef54048a33 \ + --hash=sha256:d01029d54ff1f45c195b1f7e6fbf6e58fb7e7e12cda9a6e639570d9c581decb2 \ + --hash=sha256:d06dbbfe8da01a0574de27afc19915bb3e7dddfbd184bb97e958f94051d8531b \ + --hash=sha256:d14d04058923d526a552fc3ebe8b0b0353c19516431cee196502b53119278fd9 \ + --hash=sha256:d187f43d1c5b844adc871c5b8c22b4aa12a116aaca4e9bd1521bc9ce479aae1f \ + --hash=sha256:d1d084e92d0f4a096a5155b23d1ac603db8073ef98a3d1384badf1455e5ae742 \ + --hash=sha256:d8354fbbe2abf0fb724b9303bef43bfd9b7a2779332813fa6d6559983954e7d8 \ + --hash=sha256:dcbd1fe5083315243447c13f7252ae9fe9d128b1ae2857e3a916c609235dd863 \ + --hash=sha256:dec0dafc116ac29a84d143fdbc3b83fdb5d4ed339276be2251154537ab30e14d \ + --hash=sha256:e15bb1535f68a27f28e579ba3a8f74e7b05d350c45f5622b76a311d5a19ae48a \ + --hash=sha256:e41f9d1d9240e8e0d8a670ad3e66c0c00f0b1f7150a31bc6c445a4f87c1cb3ba \ + --hash=sha256:e58acd43ac8d3905659c1d5309318dd576243e723dd7c3b5dd4f555479b77d4b \ + --hash=sha256:eadf95aab7301ac651628f097e521d742d0fb5f732155ebfd00d07933045d81c \ + --hash=sha256:ec786cb9d597dd75d993f8c1273e31bb2114c9bc22f67fba611e654e8347701b \ + --hash=sha256:ed557fa2744617eac3e34dd39b85037efbf23cd33f06851c00fdb8f18ad8f4c2 \ + --hash=sha256:ee9913fa2b5bfa6111c11158cf481bb13544f8bd5d10382fb6ee2612b16fcf28 \ + --hash=sha256:f0af2d2f745ec00a6616c4dfba4477f9156ccfb45690f6ffa5fd34f42e871ed4 \ + --hash=sha256:f12d9690634414fc04b1a7072fdc35c34a9242232c1851fe4518383578bb09d4 \ + --hash=sha256:f187030fc3d62c668feb0f09e92852e0eb414d7fcefc4748f2e67d245aade37e \ + --hash=sha256:f3abcabb04503023e1053add24472e78878de0bfd5c8a93686be01f4032c363c \ + --hash=sha256:f44107b5fdfecc03438feb165431652c8006650471326e53dd86d4c19124f5c5 \ + --hash=sha256:f517a417cd02aa8fb05b603a0ac6d87b7b004c3ba4fcd279cad25cab7229043b \ + --hash=sha256:f8cc61ad94215ab98e5cbcdea2cfde45e11bb0136ee980e1240b721635e55790 \ + --hash=sha256:f8df36f964c21168e345f914855e3b428e2cb6e1f739c8ef5963b77d86dd84ae + # via pydantic +python-multipart==0.0.32 \ + --hash=sha256:be54b7f3fa167bb83e4fcd936b887b708f4e57fe75911c02aebf53efaf8d938e \ + --hash=sha256:ff6d3f776f16878c894e52e107296ffc890e913c611b1a4ec6c44e2821fe2e23 + # via -r requirements-runtime.in +pyyaml==6.0.3 \ + --hash=sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c \ + --hash=sha256:0150219816b6a1fa26fb4699fb7daa9caf09eb1999f3b70fb6e786805e80375a \ + --hash=sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3 \ + --hash=sha256:02ea2dfa234451bbb8772601d7b8e426c2bfa197136796224e50e35a78777956 \ + --hash=sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6 \ + --hash=sha256:10892704fc220243f5305762e276552a0395f7beb4dbf9b14ec8fd43b57f126c \ + --hash=sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65 \ + --hash=sha256:1d37d57ad971609cf3c53ba6a7e365e40660e3be0e5175fa9f2365a379d6095a \ + --hash=sha256:1ebe39cb5fc479422b83de611d14e2c0d3bb2a18bbcb01f229ab3cfbd8fee7a0 \ + --hash=sha256:214ed4befebe12df36bcc8bc2b64b396ca31be9304b8f59e25c11cf94a4c033b \ + --hash=sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1 \ + --hash=sha256:22ba7cfcad58ef3ecddc7ed1db3409af68d023b7f940da23c6c2a1890976eda6 \ + --hash=sha256:27c0abcb4a5dac13684a37f76e701e054692a9b2d3064b70f5e4eb54810553d7 \ + --hash=sha256:28c8d926f98f432f88adc23edf2e6d4921ac26fb084b028c733d01868d19007e \ + --hash=sha256:2e71d11abed7344e42a8849600193d15b6def118602c4c176f748e4583246007 \ + --hash=sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310 \ + --hash=sha256:37503bfbfc9d2c40b344d06b2199cf0e96e97957ab1c1b546fd4f87e53e5d3e4 \ + --hash=sha256:3c5677e12444c15717b902a5798264fa7909e41153cdf9ef7ad571b704a63dd9 \ + --hash=sha256:3ff07ec89bae51176c0549bc4c63aa6202991da2d9a6129d7aef7f1407d3f295 \ + --hash=sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea \ + --hash=sha256:418cf3f2111bc80e0933b2cd8cd04f286338bb88bdc7bc8e6dd775ebde60b5e0 \ + --hash=sha256:44edc647873928551a01e7a563d7452ccdebee747728c1080d881d68af7b997e \ + --hash=sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac \ + --hash=sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9 \ + --hash=sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7 \ + --hash=sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35 \ + --hash=sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb \ + --hash=sha256:5cf4e27da7e3fbed4d6c3d8e797387aaad68102272f8f9752883bc32d61cb87b \ + --hash=sha256:5e0b74767e5f8c593e8c9b5912019159ed0533c70051e9cce3e8b6aa699fcd69 \ + --hash=sha256:5ed875a24292240029e4483f9d4a4b8a1ae08843b9c54f43fcc11e404532a8a5 \ + --hash=sha256:5fcd34e47f6e0b794d17de1b4ff496c00986e1c83f7ab2fb8fcfe9616ff7477b \ + --hash=sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c \ + --hash=sha256:6344df0d5755a2c9a276d4473ae6b90647e216ab4757f8426893b5dd2ac3f369 \ + --hash=sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd \ + --hash=sha256:652cb6edd41e718550aad172851962662ff2681490a8a711af6a4d288dd96824 \ + --hash=sha256:66291b10affd76d76f54fad28e22e51719ef9ba22b29e1d7d03d6777a9174198 \ + --hash=sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065 \ + --hash=sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c \ + --hash=sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c \ + --hash=sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764 \ + --hash=sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196 \ + --hash=sha256:8098f252adfa6c80ab48096053f512f2321f0b998f98150cea9bd23d83e1467b \ + --hash=sha256:850774a7879607d3a6f50d36d04f00ee69e7fc816450e5f7e58d7f17f1ae5c00 \ + --hash=sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac \ + --hash=sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8 \ + --hash=sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e \ + --hash=sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28 \ + --hash=sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3 \ + --hash=sha256:96b533f0e99f6579b3d4d4995707cf36df9100d67e0c8303a0c55b27b5f99bc5 \ + --hash=sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4 \ + --hash=sha256:9c7708761fccb9397fe64bbc0395abcae8c4bf7b0eac081e12b809bf47700d0b \ + --hash=sha256:9f3bfb4965eb874431221a3ff3fdcddc7e74e3b07799e0e84ca4a0f867d449bf \ + --hash=sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5 \ + --hash=sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702 \ + --hash=sha256:b30236e45cf30d2b8e7b3e85881719e98507abed1011bf463a8fa23e9c3e98a8 \ + --hash=sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788 \ + --hash=sha256:b865addae83924361678b652338317d1bd7e79b1f4596f96b96c77a5a34b34da \ + --hash=sha256:b8bb0864c5a28024fac8a632c443c87c5aa6f215c0b126c449ae1a150412f31d \ + --hash=sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc \ + --hash=sha256:bdb2c67c6c1390b63c6ff89f210c8fd09d9a1217a465701eac7316313c915e4c \ + --hash=sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba \ + --hash=sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f \ + --hash=sha256:c3355370a2c156cffb25e876646f149d5d68f5e0a3ce86a5084dd0b64a994917 \ + --hash=sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5 \ + --hash=sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26 \ + --hash=sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f \ + --hash=sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b \ + --hash=sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be \ + --hash=sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c \ + --hash=sha256:efd7b85f94a6f21e4932043973a7ba2613b059c4a000551892ac9f1d11f5baf3 \ + --hash=sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6 \ + --hash=sha256:fa160448684b4e94d80416c0fa4aac48967a969efe22931448d853ada8baf926 \ + --hash=sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0 + # via -r requirements-runtime.in +starlette==1.8.0 \ + --hash=sha256:1565dc0b35d5737a271ed1e0e04e949f4e81198799f216d2667b0a0fb9cf9522 \ + --hash=sha256:dfdd6b29c26483288088d990eee59631dedadd66ce20d203402a7ca8e3c4656f + # via fastapi +typing-extensions==4.16.0 \ + --hash=sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8 \ + --hash=sha256:dc983d19a509c94dba722ee6abd33940f7c05a89e243c47e907eb4db6f1a43e5 + # via + # anyio + # fastapi + # opentelemetry-api + # pydantic + # pydantic-core + # starlette + # typing-inspection +typing-inspection==0.4.4 \ + --hash=sha256:547274fa6b0a561ccf549cc9524b999a578e737d015d8709d021f9d0d13bea47 \ + --hash=sha256:65b8397ba37ccbce054456aaccddfc91e6e3083c92824df348d96ca832f3f147 + # via + # fastapi + # pydantic +uvicorn==0.54.0 \ + --hash=sha256:505bdb0f318731d45f1f712071fc781a8981f6847a31c902c9f5e652d4f67faf \ + --hash=sha256:a2e33cbfaa0306f8e6b0c13e0cb89d7d7a2da3e62b90c66e18c33d9807b28620 + # via -r requirements-runtime.in diff --git a/scripts/backup_state.py b/scripts/backup_state.py new file mode 100644 index 0000000000000000000000000000000000000000..9d3446207d53bb5df5ee86979e957449fe42f88f --- /dev/null +++ b/scripts/backup_state.py @@ -0,0 +1,17 @@ +"""Checkpoint the GitHub-configured state. Offline only: stop all app writers first. +The running application uses its protected trigger and shared snapshot lock. +""" +import argparse +import json +from pathlib import Path +import sys +import tempfile +sys.path.insert(0,str(Path(__file__).resolve().parent.parent)) +from vrag.backup.service import engine,roots +if __name__=='__main__': + parser=argparse.ArgumentParser();parser.add_argument('--offline-writers-stopped',action='store_true',required=True) + parser.parse_args() + backup=engine();_,data,state=roots() + with tempfile.TemporaryDirectory(prefix='vm-offline-capture-') as temp: + stage=Path(temp);backup.capture(data,state,stage) + print(json.dumps(backup.backup(stage))) diff --git a/scripts/check-laya.py b/scripts/check-laya.py new file mode 100644 index 0000000000000000000000000000000000000000..34ed98f7eab9c8c6d97c963b9dbc29eb9b80d7d8 --- /dev/null +++ b/scripts/check-laya.py @@ -0,0 +1,53 @@ +"""Read Laya metadata; --synthetic additionally sends one generated test image. +Never captures a camera, reads personal media, or prints credentials. +""" +import argparse +import asyncio +import base64 +import io +import json +import os +from pathlib import Path +import sys +import time + +sys.path.insert(0,str(Path(__file__).resolve().parent.parent)) +import httpx +from PIL import Image +from config.schema import Provider +from vrag.egress import transport_for +from vrag.providers import Adapter, MAX_RESPONSE, destination + +async def check(synthetic): + p=Provider(adapter='laya-vision',base_url_env='LAYA_BASE_URL', + api_key_secret='LAYA_API_KEY' if os.environ.get('LAYA_API_KEY') else None, + model='thaitea/laya-vision',capabilities=['image_understanding','visual_decision'], + trust='approved_sensitive',timeout_ms=60000,concurrency=1) + base=await destination(p,False) + headers={'Authorization':'Bearer '+os.environ[p.api_key_secret]} if p.api_key_secret else {} + metadata={} + async with httpx.AsyncClient(transport=transport_for(base),follow_redirects=False,timeout=15) as client: + for path in ['/health','/ready','/v1/info']: + async with client.stream('GET',base+path,headers=headers) as r: + if r.status_code!=200:raise RuntimeError(f'{path}: HTTP {r.status_code}') + body=bytearray() + async for chunk in r.aiter_bytes(): + body.extend(chunk) + if len(body)>MAX_RESPONSE:raise RuntimeError('metadata response too large') + metadata[path]=json.loads(body) + output={'metadata':metadata,'authorization_header_sent':bool(p.api_key_secret),'synthetic_inference_executed':False} + if synthetic: + image=io.BytesIO();Image.new('RGB',(64,64),'white').save(image,format='JPEG') + start=time.monotonic() + result=await Adapter().call('laya',p,{ + 'image':'data:image/jpeg;base64,'+base64.b64encode(image.getvalue()).decode(), + 'text':'Synthetic Visual Mentor release connection test. No camera or personal data.', + 'frame_id':0,'camera_id':'synthetic'}) + output.update(synthetic_inference_executed=True,elapsed_s=round(time.monotonic()-start,3),output=result.model_dump()) + return output + +if __name__=='__main__': + parser=argparse.ArgumentParser(description=__doc__) + parser.add_argument('--synthetic',action='store_true',help='Explicitly send one generated image for inference') + args=parser.parse_args() + print(json.dumps(asyncio.run(check(args.synthetic)),indent=2)) diff --git a/scripts/check_backup.py b/scripts/check_backup.py new file mode 100644 index 0000000000000000000000000000000000000000..556195d687b98118679ae81824dde56b06c414db --- /dev/null +++ b/scripts/check_backup.py @@ -0,0 +1,9 @@ +"""Independent monitor. Nonzero when last success is absent, late or unverified.""" +import argparse,json,sys +from pathlib import Path +sys.path.insert(0,str(Path(__file__).resolve().parent.parent)) +from vrag.backup import stale_status +p=argparse.ArgumentParser();p.add_argument('report',type=Path) +if __name__=='__main__': + args=p.parse_args();report=json.loads(args.report.read_text()) if args.report.exists() else {} + status=stale_status(report);print(json.dumps(status));sys.exit(1 if status['stale'] or not status['enabled'] else 0) diff --git a/scripts/cloud-start.py b/scripts/cloud-start.py new file mode 100644 index 0000000000000000000000000000000000000000..0b37cbb8782d26d3375b8f14eab86334e5578531 --- /dev/null +++ b/scripts/cloud-start.py @@ -0,0 +1,40 @@ +"""Supervise both services; exit when either dies, forward termination to both.""" +import os +import signal +import subprocess +import time +from pathlib import Path + +root = Path(__file__).resolve().parent.parent +# Recovery must precede imports of ConfigStore, index and queue/database startup. +if os.environ.get('VM_BACKUP_ENABLED') == 'true': + import sys + sys.path.insert(0, str(root)) + recovery_root = Path(os.environ.get('VM_RECOVERY_ROOT', '/app/work')) + os.environ.setdefault('VRAG_DATA', str(recovery_root / 'data')) + os.environ.setdefault('VM_STATE_DIR', str(recovery_root / 'state')) + from vrag.backup.service import bootstrap + bootstrap() + +children = [] +def stop(*_): + for p in children: + if p.poll() is None: + p.terminate() + for p in children: + try: + p.wait(timeout=10) + except subprocess.TimeoutExpired: + p.kill() + +signal.signal(signal.SIGTERM, stop) +signal.signal(signal.SIGINT, stop) +try: + children.append(subprocess.Popen([os.sys.executable, '-m', 'uvicorn', 'vrag.api:app', '--host', '127.0.0.1', '--port', '8000', '--no-access-log'], cwd=root)) + node_env = {**os.environ, 'PORT': '7860', 'HOSTNAME': '0.0.0.0', 'NODE_ENV': 'production'} + children.append(subprocess.Popen(['node', 'server.js'], cwd=root / 'web/.next/standalone', env=node_env)) + while all(p.poll() is None for p in children): + time.sleep(0.25) +finally: + stop() +raise SystemExit(next((p.returncode for p in children if p.returncode), 0)) diff --git a/scripts/coordinate_backup.py b/scripts/coordinate_backup.py new file mode 100644 index 0000000000000000000000000000000000000000..2b7a601e7a47f2ab31ef3f3d0e94101f7130af69 --- /dev/null +++ b/scripts/coordinate_backup.py @@ -0,0 +1,54 @@ +"""Bounded private-Space probe and checkpoint coordinator. Never restarts a Space.""" +import os +import time +from urllib.parse import urlsplit +import httpx + + +def coordinate(client, sleep=time.sleep, clock=time.time): + target=os.environ['VM_SPACE_URL'].rstrip('/') + parsed=urlsplit(target) + if parsed.scheme!='https' or not parsed.hostname or not parsed.hostname.endswith('.hf.space') or parsed.path or parsed.query or parsed.fragment or parsed.port or parsed.username: + raise ValueError('expected a dedicated HTTPS hf.space origin') + space=os.environ['VM_SPACE_ID'] + import re + if not re.fullmatch(r'[A-Za-z0-9_.-]+/[A-Za-z0-9_.-]+',space):raise ValueError('invalid Space identity') + hf=os.environ['HF_SPACE_TOKEN'];trigger=os.environ['VM_BACKUP_TRIGGER_TOKEN'] + if len(trigger)<32:raise ValueError('trigger token must have at least 32 characters') + hfheaders={'Authorization':'Bearer '+hf} + metadata=client.get('https://huggingface.co/api/spaces/'+space,headers=hfheaders) + metadata.raise_for_status() + if metadata.json().get('private') is not True:raise ValueError('Space privacy not verified') + headers={**hfheaders,'X-VM-Backup-Token':trigger} + # HTTP access may wake a sleeping private Space; only a successful protected + # endpoint response proves it for the configured destination. + for attempt in range(40): + try: + response=client.get(target+'/api/admin/backup-status',headers=headers) + if response.status_code==200 and response.json().get('configured'):break + if response.status_code in (401,403,404):raise ValueError('private Space route/authentication inaccessible') + except (httpx.TimeoutException,httpx.NetworkError):pass + sleep(15) + else:raise ValueError('private Space did not become reachable within ten minutes') + before=response.json().get('last_success') + result=client.post(target+'/api/admin/backup',headers=headers,json={});result.raise_for_status() + if result.json().get('accepted') is not True:raise ValueError('checkpoint not accepted') + started=clock() + for attempt in range(120): + sleep(10) + status=client.get(target+'/api/admin/backup-status',headers=headers);status.raise_for_status();report=status.json() + if report.get('failure_code'):raise ValueError('Space reported backup failure') + latest=report.get('last_success') + if latest and latest!=before and latest.get('created_at',0)>=started-10: + return {'verified':True,'checkpoint':latest['checkpoint'],'private_route_verified':True} + raise ValueError('accepted checkpoint did not complete in twenty minutes') + + +if __name__=='__main__': + with httpx.Client(timeout=30,follow_redirects=False) as client: + # Print only safe operational metadata, never remote error bodies/tokens. + try: + import json + print(json.dumps(coordinate(client))) + except Exception: + raise SystemExit('Coordinator failed: verify private routing, wake capability, authentication and backup health. No scheduling success established.') from None diff --git a/scripts/dev.sh b/scripts/dev.sh new file mode 100644 index 0000000000000000000000000000000000000000..cebf1de29e2a55dc886ae99c9e2f29384aa107f7 --- /dev/null +++ b/scripts/dev.sh @@ -0,0 +1,12 @@ +#!/usr/bin/env bash +# Remote-only development. Does not start any inference services. +set -euo pipefail +cd "$(dirname "$0")/.." +children=() +cleanup() { for child in "${children[@]}"; do kill "$child" 2>/dev/null || true; done; } +trap cleanup EXIT INT TERM +"${PYTHON:-python}" -m uvicorn vrag.api:app --host 127.0.0.1 --port 8000 & +children+=("$!") +npm --prefix web run dev -- --hostname 0.0.0.0 --port 7860 & +children+=("$!") +wait -n "${children[@]}" diff --git a/scripts/ingest_all.sh b/scripts/ingest_all.sh new file mode 100644 index 0000000000000000000000000000000000000000..dfd4ea3acf8e7cbf831f041d999b629748f95854 --- /dev/null +++ b/scripts/ingest_all.sh @@ -0,0 +1,6 @@ +#!/usr/bin/env bash +# Ingest + transcribe everything in sams-videos/ (idempotent; finished steps are skipped). +set -euo pipefail +cd "$(dirname "$0")/.." +uv run vrag ingest +uv run vrag transcribe diff --git a/scripts/install_backup_template.py b/scripts/install_backup_template.py new file mode 100644 index 0000000000000000000000000000000000000000..b30cdea81b1e64b304fedbe3d8400a2d9dcb0b39 --- /dev/null +++ b/scripts/install_backup_template.py @@ -0,0 +1,15 @@ +"""Export inactive GitHub coordinator tooling; never deploy or activate it.""" +import argparse +import shutil +from pathlib import Path +if __name__ == '__main__': + parser=argparse.ArgumentParser();parser.add_argument('destination',type=Path) + destination=parser.parse_args().destination + if destination.exists():raise SystemExit('destination must be new') + root=Path(__file__).resolve().parent.parent + shutil.copytree(root/'deploy/backup-repository',destination) + (destination/'scripts').mkdir(exist_ok=True) + for name in ('coordinate_backup.py','qualify_private_space.py'): + shutil.copyfile(root/'scripts'/name,destination/'scripts'/name) + shutil.copyfile(root/'docs/backup-restore.md',destination/'README.md') + print('Inactive coordinator exported; activation and production deployment remain separate.') diff --git a/scripts/measure-runtime.py b/scripts/measure-runtime.py new file mode 100644 index 0000000000000000000000000000000000000000..06cfc67e3412295da7455acf32b770084a4ac4dd --- /dev/null +++ b/scripts/measure-runtime.py @@ -0,0 +1,89 @@ +"""Measure a CPU container; only creates/removes its own uniquely named container. +Reports CPU app startup/HTTP workload, not live inference. Requires Docker CLI. +""" +import concurrent.futures +import json +import os +import subprocess +import time +import uuid + +name='visual-mentor-measure-'+uuid.uuid4().hex[:8] +image=os.environ.get('VM_RUNTIME_IMAGE','visual-mentor:validation') +def command(*args): + if args[0]=='docker':args=('docker','--host=unix:///var/run/docker.sock',*args[1:]) + return subprocess.check_output(args,text=True).strip() +probe="import urllib.request,json; print(json.load(urllib.request.urlopen('http://127.0.0.1:7860/api/health',timeout=2))['status'])" +rss_function = """ +def app_rss(): + import glob + processes={} + for p in glob.glob('/proc/[0-9]*/status'): + try: + fields={line.split(':',1)[0]:line.split(':',1)[1].strip() for line in open(p) if ':' in line} + processes[int(fields['Pid'])]=(int(fields['PPid']),int(fields.get('VmRSS','0 kB').split()[0])*1024) + except (OSError,ValueError):pass + included={1} + for _ in range(10): + included.update(pid for pid,(parent,rss) in processes.items() if parent in included) + return sum(rss for pid,(parent,rss) in processes.items() if pid in included) +""" +resource = "import json,importlib.util\n" + rss_function + "\nprint(json.dumps({'rss_bytes':app_rss(),'cpu_usage_usec':int(dict(line.split() for line in open('/sys/fs/cgroup/cpu.stat'))['usage_usec']),'forbidden_packages':[m for m in ['torch','transformers','sentence_transformers','vllm'] if importlib.util.find_spec(m)]}))" + +try: + start=time.monotonic() + command('docker','run','-d','--name',name,'--memory=16g','--cpus=2','--network=none',image) + for _ in range(100): + try: + p = subprocess.run(['docker','--host=unix:///var/run/docker.sock','exec',name,'python','-c',probe],text=True,capture_output=True) + if p.returncode == 0 and p.stdout.strip() == 'ok':break + except subprocess.CalledProcessError:pass + time.sleep(.1) + else:raise RuntimeError('container never became healthy') + ready=time.monotonic()-start + idle=json.loads(command('docker','exec',name,'python','-c',resource)) + workload=rss_function+""" +import concurrent.futures,urllib.request,threading,time,json,subprocess,os +import numpy as np +latencies=[] +ffmpeg_started=time.monotonic() +media=subprocess.Popen(['ffmpeg','-hide_banner','-loglevel','error','-i','/app/web/.next/standalone/public/sample/video.mp4','-vf','scale=480:-2','-c:v','libx264','-threads','1','-preset','veryfast','-y','/tmp/benchmark.mp4']) +rng=np.random.default_rng(0);matrix=rng.normal(size=(10000,768)).astype('float32');matrix/=np.linalg.norm(matrix,axis=1,keepdims=True) +vector=matrix[0].copy() +def numpy_work(): + for _ in range(50): + scores=matrix@vector + assert int(np.argmax(scores))==0 +stop=threading.Event(); samples=[] +def monitor(): + while not stop.is_set(): + samples.append(app_rss());time.sleep(.025) +thread=threading.Thread(target=monitor);thread.start() +paths=['/live','/models','/','/search','/ask','/api/demo/videos','/api/demo/stats','/api/health','/api/openapi.json'] +def request(i): + started=time.monotonic() + path=paths[i%len(paths)] + try: + with urllib.request.urlopen('http://127.0.0.1:7860'+path,timeout=15) as r: + assert r.status==200 + r.read() + latencies.append((time.monotonic()-started)*1000) + except Exception as e:raise RuntimeError(path+' failed: '+str(e)) +try: + with concurrent.futures.ThreadPoolExecutor(max_workers=5) as pool: + bench=pool.submit(numpy_work) + list(pool.map(request,range(180))) + bench.result() + assert media.wait(timeout=120)==0 +finally: + stop.set();thread.join() +print(json.dumps({'requests':180,'peak_process_rss_bytes':max(samples),'http_p50_ms':round(float(np.percentile(latencies,50)),2),'http_p95_ms':round(float(np.percentile(latencies,95)),2),'ffmpeg_and_http_elapsed_s':round(time.monotonic()-ffmpeg_started,3),'synthetic_matrix_shape':[10000,768],'matrix_searches':50})) +""" + workload_started=time.monotonic() + result=json.loads(command('docker','exec','-e','OPENBLAS_NUM_THREADS=1',name,'python','-c',workload)) + after=json.loads(command('docker','exec',name,'python','-c',resource)) + peak=int(command('docker','exec',name,'cat','/sys/fs/cgroup/memory.peak')) + output={'image_id':command('docker','inspect',name,'--format','{{.Image}}'),'image_bytes':int(command('docker','image','inspect',image,'--format','{{.Size}}')),'startup_seconds':round(ready,3),'idle_process_rss_bytes':idle['rss_bytes'],'post_workload_process_rss_bytes':after['rss_bytes'],'sampled_peak_process_rss_bytes':max(idle['rss_bytes'],after['rss_bytes'],result['peak_process_rss_bytes']),'cgroup_peak_bytes':peak,'workload_cpu_seconds':round((after['cpu_usage_usec']-idle['cpu_usage_usec'])/1000000,3),'workload_wall_seconds_including_probes':round(time.monotonic()-workload_started,3),'forbidden_packages':idle['forbidden_packages'],'workload':result,'limits':'2 CPUs / 16 GiB; no GPU; no providers configured'} + print(json.dumps(output,indent=2)) +finally: + subprocess.run(['docker','--host=unix:///var/run/docker.sock','rm','-f',name],stdout=subprocess.DEVNULL,check=False) diff --git a/scripts/prune_backups.py b/scripts/prune_backups.py new file mode 100644 index 0000000000000000000000000000000000000000..1ef9e7f36644a135f2ca0eb2374ff1cfe4e91bbd --- /dev/null +++ b/scripts/prune_backups.py @@ -0,0 +1,14 @@ +"""Retention planning; deleting Git files does not erase historical Git blobs. +Archive/compact history only in an approved maintenance procedure after restore. +""" +import argparse,json,sys +from pathlib import Path +sys.path.insert(0,str(Path(__file__).resolve().parent.parent)) +from vrag.backup import retention_keep +p=argparse.ArgumentParser();p.add_argument('snapshots',type=Path);p.add_argument('--apply',action='store_true') +if __name__=='__main__': + args=p.parse_args();rows=[(f,json.loads(f.read_text())) for f in args.snapshots.glob('*.json')];keep=retention_keep([e for _,e in rows]) + for f,e in rows: + if e.get('coverage_verified') and e.get('ciphertext_sha256') not in keep: + print('Expire',f.name) + if args.apply:f.with_suffix('.age').unlink();f.unlink() diff --git a/scripts/qualify-release.py b/scripts/qualify-release.py new file mode 100644 index 0000000000000000000000000000000000000000..79c9d0d2b63862dc74e0a6ec44309dbbe05b3a19 --- /dev/null +++ b/scripts/qualify-release.py @@ -0,0 +1,120 @@ +"""Offline CPU/container and authorization qualification; publishes no ports. +Creates only uniquely named test containers/volumes, and removes them on exit. +""" +import argparse +import json +import os +import secrets +import subprocess +import time +import uuid + +parser=argparse.ArgumentParser(description=__doc__) +parser.add_argument('--image',default='visual-mentor:release-review') +args=parser.parse_args() +name='vm-release-'+uuid.uuid4().hex[:10] +volume=name+'-state' +process_env=os.environ.copy() +for variable in ['DOCKER_HOST','DOCKER_CONTEXT','DOCKER_TLS','DOCKER_TLS_VERIFY','DOCKER_CERT_PATH']: + process_env.pop(variable,None) +process_env.update(VM_ADMIN_TOKEN=secrets.token_urlsafe(32),VM_USER_TOKEN=secrets.token_urlsafe(32)) + +def docker(*arguments): + return subprocess.check_output(['docker','--host=unix:///var/run/docker.sock',*arguments],env=process_env,text=True).strip() + +def start(): + docker('run','-d','--name',name,'--network','none','--memory=16g','--cpus=2', + '--mount',f'type=volume,src={volume},dst=/app/data', + '-e','VM_ADMIN_TOKEN','-e','VM_USER_TOKEN','-e','VM_STATE_DIR=/app/data/state', + '-e','VM_ALLOWED_ORIGINS=https://private-release.example',args.image) + for _ in range(100): + ready=subprocess.run(['docker','--host=unix:///var/run/docker.sock','exec',name,'python','-c', + "import urllib.request; assert urllib.request.urlopen('http://127.0.0.1:7860/api/health',timeout=2).status==200"], + env=process_env,capture_output=True,timeout=5) + if ready.returncode==0:return + time.sleep(.1) + raise RuntimeError('container did not become healthy') + +checks=r''' +import base64,glob,importlib.util,io,json,os,urllib.request,urllib.error +from PIL import Image +base='http://127.0.0.1:7860' +a=os.environ['VM_ADMIN_TOKEN'];u=os.environ['VM_USER_TOKEN'] +results={} +def call(path,method='GET',body=None,token=None,headers=None): + h=dict(headers or {}) + if token:h['Authorization']='Bearer '+token + if body is not None:h['Content-Type']='application/json' + request=urllib.request.Request(base+path,method=method,data=json.dumps(body).encode() if body is not None else None,headers=h) + try: + with urllib.request.urlopen(request,timeout=15) as r:return r.status,r.read() + except urllib.error.HTTPError as e:return e.code,e.read() +assert call('/api/health')[0]==200 +assert call('/api/videos')[0]==401 +assert call('/api/demo/videos')[0]==200 +from pathlib import Path +media=Path('/app/data/videos/qualification');media.mkdir(parents=True,exist_ok=True) +source=Path('/app/web/.next/standalone/public/sample/video.mp4').read_bytes() +(media/'video.mp4').write_bytes(source) +assert call('/media/qualification/video.mp4')[0]==401 +assert call('/media/qualification/video.mp4',token=a)[0]==401 +status,raw=call('/media/qualification/video.mp4',token=u,headers={'Range':'bytes=0-31'}) +assert status==206 and raw==source[:32] +status,raw=call('/media/qualification/video.mp4',headers={'Cookie':'vm-media='+u,'Range':'bytes=32-63'}) +assert status==206 and raw==source[32:64] + +assert call('/media/private/video.mp4')[0]==401 +assert call('/api/admin/backup-status')[0]==401 +for path in ['/api/config','/api/config/template','/api/config/profiles']: + assert call(path)[0]==401 and call(path,token=u)[0]==401 +for path,body in [('/api/config/validate',{'yaml':'{}'}),('/api/config/apply',{'yaml':'{}'}),('/api/config/rollback',{'version':1,'expected_version':1}),('/api/providers/missing/test',{}),('/api/routing/dry-run',{'feature':'live.camera1.scene'})]: + assert call(path,'POST',body,u)[0]==401 +assert call('/api/config','GET',token=a)[0]==200 +assert call('/api/config/apply','POST',{'yaml':'profile: reject'},a,{'Origin':'https://evil.example','X-Forwarded-Host':'evil.example'})[0]==403 +assert call('/api/live/sessions','POST',{'consent':True})[0]==401 +assert call('/api/live/sessions','POST',{'consent':False},u)[0]==400 +status,raw=call('/api/config/apply','POST',{'yaml':'profile: release-qualification','expected_version':1},a,{'Origin':'https://private-release.example'}) +assert status==200 and json.loads(raw)['config_version']==2 +status,raw=call('/api/config','GET',token=a) +assert a.encode() not in raw and u.encode() not in raw +assert call('/api/config/apply','POST',{'yaml':'profile: stale','expected_version':1},a)[0]==409 +status,raw=call('/api/live/sessions','POST',{'consent':True},u);assert status==200 +sid=json.loads(raw)['session_id'] +assert call('/api/live/sessions/'+sid+'/events','GET',token=a)[0]==401 +f=io.BytesIO();Image.new('RGB',(32,32)).save(f,format='JPEG') +frame={'camera_id':'camera1','frame_id':1,'captured_at':1,'image':'data:image/jpeg;base64,'+base64.b64encode(f.getvalue()).decode(),'feature':'live.camera1.scene','config_version':2,'request_id':'synthetic'} +status,raw=call('/api/live/sessions/'+sid+'/frames','POST',frame,u) +assert status==503 and json.loads(raw)['detail']=='feature_unavailable' +assert call('/api/live/sessions/'+sid,'DELETE',token=u)[0]==200 +assert call('/api/live/sessions/'+sid+'/events','GET',token=u)[0]==404 +assert call('/api/config/rollback','POST',{'version':1,'expected_version':2},a)[0]==200 +assert call('/api/config/apply','POST',{'yaml':'profile: release-qualification','expected_version':3},a)[0]==200 +packages=['torch','torchvision','torchaudio','torchcodec','transformers','sentence_transformers','vllm','whisper','onnxruntime','huggingface_hub'] +installed=[p for p in packages if importlib.util.find_spec(p)] +assert not installed and not glob.glob('/dev/nvidia*') +weights=[] +for root in ['/app','/home/mentor']: + for suffix in ['*.safetensors','*.onnx','*.gguf','*.pt']: + weights.extend(glob.glob(root+'/**/'+suffix,recursive=True)) +assert not weights +assert os.getuid()==1000 +results.update(media_range_and_cookie='passed',authentication='passed',csrf_origin='passed',config_apply_rollback='passed',session_ownership='passed',disabled_inference='503 without local fallback',uid=os.getuid(),forbidden_packages=installed,model_weights=weights,gpu_devices=[]) +print(json.dumps(results)) +''' +try: + docker('volume','create',volume) + start_time=time.monotonic();start();startup=round(time.monotonic()-start_time,3) + result=json.loads(docker('exec',name,'python','-c',checks)) + container=json.loads(docker('inspect',name))[0] + assert not container['HostConfig']['PortBindings'] + assert container['HostConfig']['NetworkMode']=='none' + assert not container['HostConfig'].get('DeviceRequests') + image_id=container['Image'] + docker('rm','-f',name) + start() + persistence=json.loads(docker('exec',name,'python','-c',"import json,os,urllib.request; r=urllib.request.Request('http://127.0.0.1:7860/api/config',headers={'Authorization':'Bearer '+os.environ['VM_ADMIN_TOKEN']}); data=json.load(urllib.request.urlopen(r)); assert data['config_version']==4 and data['config']['profile']=='release-qualification'; print(json.dumps({'recreated_container_config_version':4}))")) + print(json.dumps({'image_id':image_id,'startup_seconds':startup,'network':'none','published_ports':[], + 'limits':'2 CPUs / 16 GiB','checks':result,'persistent_volume':persistence},indent=2)) +finally: + subprocess.run(['docker','--host=unix:///var/run/docker.sock','rm','-f',name],env=process_env,stdout=subprocess.DEVNULL,stderr=subprocess.DEVNULL) + subprocess.run(['docker','--host=unix:///var/run/docker.sock','volume','rm',volume],env=process_env,stdout=subprocess.DEVNULL,stderr=subprocess.DEVNULL) diff --git a/scripts/qualify_private_space.py b/scripts/qualify_private_space.py new file mode 100644 index 0000000000000000000000000000000000000000..410adf05af41414817407d9303c6b537fdfb907e --- /dev/null +++ b/scripts/qualify_private_space.py @@ -0,0 +1,72 @@ +"""Private staging boundary probe; optional bounded checkpoint trigger. No deployment.""" +import argparse +import json +import os +from pathlib import Path +import re +import time +from urllib.parse import urlsplit +import httpx +try: + from .coordinate_backup import coordinate +except ImportError: + from coordinate_backup import coordinate + + +def qualify(client, space, url, hf, trigger, run_trigger=False): + parsed=urlsplit(url) + if space=='Leon4gr45/openweb' or not re.fullmatch(r'[A-Za-z0-9_.-]+/[A-Za-z0-9_.-]*staging[A-Za-z0-9_.-]*',space): + raise ValueError('only a separate staging Space is permitted') + if parsed.scheme!='https' or not parsed.hostname or not parsed.hostname.endswith('.hf.space') or parsed.path or parsed.query or parsed.fragment or parsed.port or parsed.username: + raise ValueError('dedicated HTTPS Space origin required') + if len(trigger)<32:raise ValueError('staging trigger token must be >=32 characters') + bearer={'Authorization':'Bearer '+hf} + response=client.get('https://huggingface.co/api/spaces/'+space,headers=bearer) + response.raise_for_status();metadata=response.json() + report={'space':space,'origin':url,'private':metadata.get('private'), + 'initial_runtime_stage':metadata.get('runtime',{}).get('stage'),'sleep_wake_verified':False, + 'actions_runner':bool(os.environ.get('GITHUB_ACTIONS')=='true'), + 'actions_run_url':f"https://github.com/{os.environ['GITHUB_REPOSITORY']}/actions/runs/{os.environ['GITHUB_RUN_ID']}" if os.environ.get('GITHUB_ACTIONS')=='true' else None} + if report['private'] is not True:raise ValueError('Space is not private') + endpoint=url+'/api/admin/backup-status' + # Authenticated status access is the approved natural wake route; no + # restart/resume/hardware request is made. Reject credential failures early. + for attempt in range(40): + authorized=client.get(endpoint,headers={**bearer,'X-VM-Backup-Token':trigger}) + if authorized.status_code not in (502,503,504):break + time.sleep(15) + report['authorized_status']=authorized.status_code + if authorized.status_code!=200 or not authorized.json().get('configured'):raise ValueError('authorized configured backup route not established') + anonymous=client.get(endpoint) + wrong=client.get(endpoint,headers={**bearer,'X-VM-Backup-Token':'invalid-staging-test-token'}) + report.update(anonymous_status=anonymous.status_code,wrong_trigger_status=wrong.status_code) + if anonymous.status_code not in (301,302,303,307,308,401,403,404):raise ValueError('anonymous denial not established') + if wrong.status_code not in (401,403):raise ValueError('wrong trigger token was not rejected at the application') + report.update(private_boundary_verified=True,checkpoint_triggered=False) + if run_trigger: + os.environ.update(VM_SPACE_ID=space,VM_SPACE_URL=url) + result=coordinate(client) + report.update(checkpoint_triggered=True,checkpoint=result['checkpoint'],checkpoint_verified=result['verified']) + report['sleep_wake_verified']=report['initial_runtime_stage'] in ('SLEEPING','SLEEPING_RESOURCE') + return report + + +if __name__=='__main__': + parser=argparse.ArgumentParser();parser.add_argument('--space',required=True);parser.add_argument('--url',required=True);parser.add_argument('--trigger',action='store_true') + args=parser.parse_args() + events=[] + def observed(response): + events.append({'method':response.request.method,'host':response.request.url.host, + 'status':response.status_code,'request_id':response.headers.get('x-request-id')}) + report={'status':'blocked','private_boundary_verified':False,'checkpoint_verified':False,'sleep_wake_verified':False} + try: + hf=os.environ['HF_SPACE_TOKEN'];trigger=os.environ['VM_BACKUP_TRIGGER_TOKEN'] + with httpx.Client(timeout=30,follow_redirects=False,event_hooks={'response':[observed]}) as client: + report=qualify(client,args.space,args.url,hf,trigger,args.trigger) + report['status']='passed' + except KeyError:report['failure_code']='missing_secure_staging_credentials' + except Exception:report['failure_code']='private_staging_qualification_failed' + report['http_events']=events + evidence=Path('docs/evidence/private-staging-live.json');evidence.parent.mkdir(parents=True,exist_ok=True) + evidence.write_text(json.dumps(report,indent=2)+'\n');print(json.dumps(report)) + raise SystemExit(0 if report['status']=='passed' else 2) diff --git a/scripts/reindex-remote.py b/scripts/reindex-remote.py new file mode 100644 index 0000000000000000000000000000000000000000..352addb75fc84ed9f8eeadbfa3259a719cfbc82e --- /dev/null +++ b/scripts/reindex-remote.py @@ -0,0 +1,45 @@ +"""Re-embed existing segment transcripts to a NEW versioned index; never overwrite legacy vectors. +Run from repository root: python scripts/reindex-remote.py --source data/index --output data/indexes/MODEL-VERSION +Set VRAG_INDEX_DIR to that output before restarting the API. No camera uploads or local inference. +""" +import argparse +import asyncio +import json +from pathlib import Path +import sys +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) +import numpy as np +from vrag.settings import store +from vrag.remote import space_id +from vrag.routing import route + +async def build(source, output): + if output.exists(): + raise ValueError('output must be a new versioned directory') + _, cfg = store.snapshot() + rule = cfg.features.get('rag.text_embeddings') + if not rule or rule.strategy != 'single': + raise ValueError('configure one remote text embedding provider first') + p = cfg.providers[rule.providers[0]] + segments = json.loads((source / 'segments.json').read_text()) + if not segments: + raise ValueError('source has no segments') + vectors = [] + for s in segments: + out, status = await route(cfg, 'rag.text_embeddings', {'text':f'title: {s["title"]} | text: {s["text"]}'}) + if not out.embedding: + raise ValueError('remote embedding failed: '+str(status)) + vectors.append(out.embedding) + matrix = np.asarray(vectors, dtype=np.float32) + if matrix.ndim != 2 or not np.isfinite(matrix).all(): + raise ValueError('invalid embedding matrix') + matrix /= np.linalg.norm(matrix, axis=1, keepdims=True) + output.mkdir(parents=True) + np.save(output / 'text.npy', matrix) + (output / 'segments.json').write_text(json.dumps(segments)) + (output / 'manifest.json').write_text(json.dumps({'model':p.model, 'embedding_space':space_id(p), 'dimension':matrix.shape[1], 'mrl_dims':[matrix.shape[1]], 'views':{'text':{'count':len(segments)}}, 'segments':len(segments)})) + print(f'Created {output}: {len(segments)} segments, {matrix.shape[1]} dimensions. Set VRAG_INDEX_DIR and restart; legacy index unchanged.') + +if __name__ == '__main__': + parser=argparse.ArgumentParser();parser.add_argument('--source',type=Path,required=True);parser.add_argument('--output',type=Path,required=True) + args=parser.parse_args();asyncio.run(build(args.source,args.output)) diff --git a/scripts/restore_state.py b/scripts/restore_state.py new file mode 100644 index 0000000000000000000000000000000000000000..2aa82f4d5c54f29c17c6e04c62c02f58d82fd723 --- /dev/null +++ b/scripts/restore_state.py @@ -0,0 +1,10 @@ +"""Restore from GitHub into a new isolated destination; never overwrites state.""" +import argparse +import json +from pathlib import Path +import sys +sys.path.insert(0,str(Path(__file__).resolve().parent.parent)) +from vrag.backup.service import engine +if __name__=='__main__': + parser=argparse.ArgumentParser();parser.add_argument('--destination',type=Path,required=True);parser.add_argument('--checkpoint') + args=parser.parse_args();print(json.dumps(engine().restore(args.destination,args.checkpoint))) diff --git a/scripts/seed_sample_media.py b/scripts/seed_sample_media.py new file mode 100644 index 0000000000000000000000000000000000000000..cc7166817b91ec5592262e2aa161a42f436663e2 --- /dev/null +++ b/scripts/seed_sample_media.py @@ -0,0 +1,29 @@ +"""Generate deterministic synthetic teaching slides/video without external assets.""" +from pathlib import Path +import subprocess +from PIL import Image,ImageDraw,ImageFont +root=Path(__file__).resolve().parent.parent/'web/public/sample';root.mkdir(parents=True,exist_ok=True) +font=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf',22) +small=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf',14) +for n,title in enumerate(['PREPARE THE WORKBENCH','CAMERA & LIGHTING','EVIDENCE IN VIDEO'],1): + image=Image.new('RGB',(640,360),'#10171e');d=ImageDraw.Draw(image) + d.rectangle((0,0,640,5),fill=['#3987e5','#199e70','#d95926'][n-1]);d.text((28,28),'VISUAL MENTOR / SAMPLE '+str(n),fill='#8eabbf',font=small) + d.text((28,65),title,fill='#f0f5fa',font=font) + if n==1: + d.rounded_rectangle((65,155,575,285),12,fill='#253443',outline='#3987e5',width=2) + for x in [100,260,420]: + d.rounded_rectangle((x,180,x+110,250),8,fill='#14232f',outline='#5b87ac',width=2) + for x,label in [(112,'CLEAR'),(272,'CHECK'),(432,'START')]:d.text((x,205),label,fill='#c5d6e4',font=small) + elif n==2: + d.ellipse((62,155,162,255),outline='#d1aa44',width=4);d.line((160,205,240,205),fill='#d1aa44',width=3) + d.rounded_rectangle((248,130,565,290),8,fill='#1b3040',outline='#199e70',width=3) + d.ellipse((378,160,428,210),outline='#a3d6c3',width=3);d.arc((338,210,468,310),180,360,fill='#a3d6c3',width=3) + else: + for i in range(4): + x=30+150*i;d.rounded_rectangle((x,145,x+130,245),8,fill='#22313d',outline='#d95926' if i==1 else '#526473',width=2);d.text((x+15,185),f'00:{i*15:02d}',fill='#f1d5c2',font=small) + d.line((30,275,610,275),fill='#d95926',width=3);d.ellipse((175,268,189,282),fill='#f1d5c2') + d.text((28,325),'Synthetic evaluation footage - no live inference',fill='#8eabbf',font=small) + path=root/f'thumb-{n}.jpg';image.save(path,quality=90) +# All sample entries refer to this clearly synthetic two-stage clip; fixture transcripts +# describe its educational context, not live provider observations. +subprocess.run(['ffmpeg','-hide_banner','-loglevel','error','-loop','1','-i',str(root/'thumb-1.jpg'),'-loop','1','-i',str(root/'thumb-2.jpg'),'-filter_complex','[0:v]trim=duration=30,setpts=PTS-STARTPTS[a];[1:v]trim=duration=30,setpts=PTS-STARTPTS[b];[a][b]concat=n=2:v=1:a=0[out]','-map','[out]','-r','5','-t','60','-c:v','libx264','-threads','1','-preset','veryfast','-pix_fmt','yuv420p','-movflags','+faststart','-y',str(root/'video.mp4')],check=True) diff --git a/serve/compat/sitecustomize.py b/serve/compat/sitecustomize.py new file mode 100644 index 0000000000000000000000000000000000000000..ba7554abfaf4c5f4db2666309ac6f012e41511fe --- /dev/null +++ b/serve/compat/sitecustomize.py @@ -0,0 +1,45 @@ +"""Runtime compatibility shims, auto-imported when this dir is on PYTHONPATH. + +vLLM 0.23.0 pulls fastapi 0.137 / starlette 1.3 / prometheus-fastapi-instrumentator +8.0.0 (forced by its `model-hosting-container-standards` dependency — they cannot be +downgraded). That instrumentator's `_get_route_name` does `route.path` for every +route, but vLLM mounts an `_IncludedRouter` route object that has no `.path`, so the +metrics middleware raises `AttributeError: '_IncludedRouter' object has no attribute +'path'` on EVERY request — including /health and /v1/*, making the server unusable. + +This patches `_get_route_name` to read the path defensively (getattr) and skip routes +without one. Version-independent and a no-op if the instrumentator isn't installed. +""" + + +def _patch_prometheus_instrumentator() -> None: + try: + from prometheus_fastapi_instrumentator import routing + from starlette.routing import Match, Mount + except Exception: + return + + def _safe_get_route_name(scope, routes, route_name=None): + for route in routes: + try: + match, child_scope = route.matches(scope) + except Exception: + continue + path = getattr(route, "path", None) + if match == Match.FULL: + if path is None: + return route_name + route_name = path + child_scope = {**scope, **child_scope} + if isinstance(route, Mount) and getattr(route, "routes", None): + child = _safe_get_route_name(child_scope, route.routes, route_name) + route_name = None if child is None else route_name + child + return route_name + elif match == Match.PARTIAL and route_name is None and path is not None: + route_name = path + return None + + routing._get_route_name = _safe_get_route_name + + +_patch_prometheus_instrumentator() diff --git a/serve/pyproject.toml b/serve/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..89b08c259f3e7ae7825860478585777055acde04 --- /dev/null +++ b/serve/pyproject.toml @@ -0,0 +1,15 @@ +[project] +name = "vrag-serve" +version = "0.1.0" +description = "vLLM server env for the Gemma 4 12B generator (kept separate from the embedding env to avoid torch/transformers pin conflicts)" +requires-python = ">=3.10" +dependencies = [ + # Pinned to the combo verified on this box (RTX PRO 6000 Blackwell) in ~/projects/gemma-4-qat. + # transformers 5.x is required for the gemma4_unified architecture. + "vllm[audio]==0.23.0", # [audio] pulls librosa/soundfile; without them audio inputs 400 + "transformers==5.12.0", + "huggingface-hub>=0.27.0", +] + +[tool.uv] +package = false diff --git a/serve/serve.sh b/serve/serve.sh new file mode 100644 index 0000000000000000000000000000000000000000..3094d94d03c7703b623381e3aa1c66a75a9aa64c --- /dev/null +++ b/serve/serve.sh @@ -0,0 +1,55 @@ +#!/usr/bin/env bash +# Serve the Gemma 4 12B QAT generator on vLLM (OpenAI-compatible API). +# +# Usage: serve/serve.sh [--port 8001] [--bg] [--mtp] +# --bg run detached; log + pidfile land in serve/logs/ +# --mtp enable Multi-Token Prediction (speculative decoding with the -assistant drafter) +set -euo pipefail +cd "$(dirname "$0")" + +MODEL="${VRAG_GEN_MODEL:-google/gemma-4-12B-it-qat-w4a16-ct}" +ASSISTANT="${VRAG_GEN_ASSISTANT:-google/gemma-4-12B-it-assistant}" +PORT=8001 +BG=0 +MTP=0 +while [[ $# -gt 0 ]]; do + case "$1" in + --port) PORT="$2"; shift 2 ;; + --bg) BG=1; shift ;; + --mtp) MTP=1; shift ;; + *) echo "unknown arg: $1" >&2; exit 1 ;; + esac +done + +# Blackwell/VPN workarounds carried over from ~/projects/gemma-4-qat: +# - pin vLLM's distributed init to loopback (Tailscale IPs can hang startup) +# - FlashInfer's JIT sampler miscompiles on sm_120 +# - sitecustomize patches a prometheus instrumentator crash that 500s every request +export VLLM_HOST_IP="${VLLM_HOST_IP:-127.0.0.1}" +export GLOO_SOCKET_IFNAME="${GLOO_SOCKET_IFNAME:-lo}" +export VLLM_USE_FLASHINFER_SAMPLER="${VLLM_USE_FLASHINFER_SAMPLER:-0}" +export PYTHONPATH="$PWD/compat${PYTHONPATH:+:$PYTHONPATH}" + +CMD=(uv run vllm serve "$MODEL" + --host 127.0.0.1 --port "$PORT" + --served-model-name gemma-4 + --max-model-len "${VRAG_GEN_MAX_LEN:-32768}" + # leave room on the GPU for the EmbeddingGemma 2 API process + --gpu-memory-utilization "${VRAG_GEN_GPU_UTIL:-0.55}" + --limit-mm-per-prompt '{"image": 16, "video": 6, "audio": 6}' + --allowed-local-media-path "$(cd .. && pwd)/data" + --trust-remote-code) +if [[ "$MTP" == "1" ]]; then + CMD+=(--speculative-config "{\"method\":\"mtp\",\"model\":\"$ASSISTANT\",\"num_speculative_tokens\":2}") +fi + +mkdir -p logs +LOG="logs/vllm_${PORT}.log" +echo "==> ${CMD[*]}" +if [[ "$BG" == "1" ]]; then + setsid "${CMD[@]}" >"$LOG" 2>&1 < /dev/null & + echo $! > "logs/.vllm_${PORT}.pid" + echo "==> started (pid $!). tail -f serve/$LOG ; stop with serve/stop.sh $PORT" +else + exec "${CMD[@]}" 2>&1 | tee "$LOG" +fi diff --git a/serve/stop.sh b/serve/stop.sh new file mode 100644 index 0000000000000000000000000000000000000000..9ec238cc10877412d08516fbd5ce6719cbfaa98e --- /dev/null +++ b/serve/stop.sh @@ -0,0 +1,14 @@ +#!/usr/bin/env bash +# Stop a backgrounded vLLM server. Usage: serve/stop.sh [port] +set -euo pipefail +cd "$(dirname "$0")" +PORT="${1:-8001}" +PIDFILE="logs/.vllm_${PORT}.pid" +if [[ -f "$PIDFILE" ]]; then + PID="$(cat "$PIDFILE")" + kill -TERM -- "-$(ps -o pgid= "$PID" | tr -d ' ')" 2>/dev/null || kill "$PID" 2>/dev/null || true + rm -f "$PIDFILE" + echo "stopped $PID" +else + echo "no pidfile for port $PORT" +fi diff --git a/serve/uv.lock b/serve/uv.lock new file mode 100644 index 0000000000000000000000000000000000000000..9c7b819ed1b05ffb39f41b06bb3921fe5b6f42ac --- /dev/null +++ b/serve/uv.lock @@ -0,0 +1,7580 @@ +version = 1 +revision = 3 +requires-python = ">=3.10" +resolution-markers = [ + "python_full_version >= '3.14' and sys_platform == 'darwin'", + "python_full_version == '3.13.*' and sys_platform == 'darwin'", + "python_full_version == '3.12.*' and sys_platform == 'darwin'", + "python_full_version >= '3.14' and sys_platform != 'darwin'", + "python_full_version == '3.13.*' and sys_platform != 'darwin'", + "python_full_version == 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+**Recommended development branch:** `feature/video-rag-mentor-v2`, newly branched from `main` (`7f8922cad8adb7e73a5f95ecfbf5b1a73e5bd46f` at review time; verify current remote HEAD before branching). +**Reuse source:** `feature/visual-mentor` at `245b686c916f0fcb0aff50b305e27f399c32910d`. +**Deployment target:** existing `Leon4gr45/openweb` Hugging Face Docker Space, **private**, subject to explicit deployment approval. **Do not overwrite** this deployment until a UI parity review and staging approval. + +## 0. Direction reset / decisive product rule + +This project is **the original Video RAG app, enhanced with Live Visual Mentor**, not a new lightweight mentor dashboard. The UI/UX design authority is the original `main` branch's `web/` application. Preserve and improve the established dark palette, page widths, typography, navigation, cards, charts, source citations, clip playback, retrieval controls and information density. New features must look and behave like native extensions of that site. Do **not** replace it with generic forms, a blank dashboard, a Gradio UI or a route-only API shell. + +The original Video RAG is not a demo to discard: its 30-second segmentation, video library, clip seeking, timestamped search results, per-view retrieval, RAG answers, experiments and Matryoshka evaluation are important product assets. Build on top of those capabilities. The first-page experience must not collapse to a configuration editor, camera controls or an empty-state screen. + +**Explicitly abandon the previous optimization target of <1 GB memory and ~1 vCPU application load.** Fit the provisioned Hugging Face **CPU Basic: 2 vCPU, 16 GB RAM, 50 GB ephemeral disk**. Take advantage of RAM for caches, metadata, indexes, thumbnails and process separation; continue using remote inference for large AI models. Memory does not create extra CPU capacity; use queues, adaptive video sampling and bounded FFmpeg jobs. Do not require local GPU or DGX Spark. + +## 1. Verified repo/branch facts and migration decision + +- `main`: original Next.js 16 / React 19 / Tailwind video RAG frontend, with Library at `/`, Search, Ask, Experiments, Architecture and video-detail/clip player. Original color tokens include `--page`, `--surface`, `--surface-2`, `--text-primary`, `--text-secondary`, `--accent`. +- `feature/visual-mentor`: 14 commits ahead of main at review; implemented tested camera UI, remote adapters, YAML routing, runtime and authorization. `docs/release-readiness.md` reports 77 backend and 12 mocked-browser tests, plus successful synthetic live Laya inference, but not actual HF/USB/NVIDIA/Whisper qualification. Preserve this as an implementation donor, not the UI baseline. +- `deploy-huggingface-space-2826124284938220779`: one additional commit beyond `feature/visual-mentor` (PR #1, deployment setup, extra Next config). This is **not** the architecture or design baseline. Audit its deployment changes individually; avoid conflicting `next.config.ts` and `next.config.mjs`. +- The original `main` `spec.md` describes the previous ultra-light direction. **Replace that specification on the NEW development branch only** with this file. Do not rewrite `main` or merge legacy branches prematurely. + +Implementation rule: create the new feature branch from `main`; preserve its `web/` markup/components/styles as the source of truth. Port tested infrastructure from `feature/visual-mentor` by *selective file-level migration or careful cherry-picking with UI hunks rejected*. Do not merge the entire prior feature branch blindly, and do not discard backend test coverage. + +## 2. Product vision and primary user journeys + +**A. Browse and learn from videos** — Landing page is the original enriched Library: thumbnails, source titles, metadata, durations, previews, indexing status, filters and recent content. Open a video-detail page, inspect segments/transcripts/keyframes, seek to cited moments, and return to search/Ask with context. + +**B. Search across videos** — Keep text, frame, video, audio, fused and hybrid retrieval views whenever a compatible index exists. Expose model identity, indexing state, vector dimensions and honest unsupported states. Search by natural language and, when a real cross-modal embedding provider supports it, by uploaded image. Display sources and timeline markers. + +**C. Ask / Video RAG** — Ask questions about indexed clips; retrieve evidence, answer via external multimodal LLM, cite exact clips and timestamps, allow inline playback. Provider selection should not break retrieval or silently substitute false multimodal semantics. + +**D. Live Mentor** — Add a polished `Live` workspace whose visual language matches original Video RAG. From the laptop browser, capture built-in and USB cameras concurrently (where OS/browser permits), show dual video previews, overlays and observations, select inference routes, get step-by-step advisory guidance, push-to-talk to remote Whisper. Link selected observations to current video research and saved sessions. + +**E. Models & Routing** — A professional configuration studio added to the original navigation, not the homepage. Declare remote providers, assign models to functions, upload/edit/export a `.yaml` / `.yml` profile, test connections, preview changes, apply/rollback safely, and show traceable concurrent provider results (e.g., Laya and NVIDIA operating on the same frame). + +**F. Import / Ingest** — Upload media into the Library and create/refresh searchable segments and thumbnails using local CPU FFmpeg when appropriate. Remote transcription, embeddings and VLM enrichment must run as bounded background jobs with status and retries; never block the web UI. + +## 3. UI / experience specification — highest priority + +### 3.1 Original UI as invariant + +Before code changes, capture baseline screenshots at desktop (1440px), laptop (1280px), tablet and mobile for `/`, `/search`, `/ask`, `/experiments`, `/architecture`, `/videos/[id]` using seeded fixtures. Inventory the actual components, typography, colors, card metrics, chart styles, page gutters and clip-modal interactions. Establish screenshot regression tests. Do not copy the currently deployed `openweb` styling as a reference. + +Preserve the original component-level UI: `web/src/components/Nav.tsx`, `NavLinks.tsx`, `Controls.tsx`, `ClipPlayer.tsx`, `web/src/app/Library.tsx`, Search/Ask views, video details and charts. Changes may improve usability and responsiveness, but original workflows, content density, look and affordances must remain recognizable. Reuse existing Tailwind tokens and component patterns. Avoid generic `.vm-panel` / `.vm-button` aesthetics if they clash with the original design; replace those with shared design-system primitives matching existing page cards/controls. + +### 3.2 Navigation and site map + +The canonical primary navigation is: +- **Library** (`/`, original landing page) +- **Search** (`/search`, existing) +- **Ask** (`/ask`, existing; includes source-aware mentoring questions) +- **Live** (`/live`, new first-class workspace) +- **Experiments** (`/experiments`, existing) +- **Architecture** (`/architecture`, existing) +- **Models & Routing** (`/models`, new; may live in a visually coherent Settings group if width demands it) + +Maintain video-detail pages and clip-modal navigation. The logo/name can become `Video RAG · Visual Mentor` without losing context. Navigation must work with keyboard and narrow widths; prioritize meaningful content over settings clutter. + +### 3.3 Live workspace wireframe (visual guidance, not prescriptive CSS) + +``` +Top: original Video RAG navigation +Page title: Live Visual Mentor [Camera profile ▼] [Routing profile ▼] [Session status] +┌─────────────────────────────┬─────────────────────────────┐ +│ Camera A • laptop │ Camera B • USB │ +│ full native preview │ full native preview │ +│ boxes / track IDs │ boxes / track IDs │ +│ device • resolution • FPS │ device • resolution • FPS │ +│ Start / Stop / Share toggle │ Start / Stop / Share toggle │ +└─────────────────────────────┴─────────────────────────────┘ +┌─────────────────────────────┬─────────────────────────────┐ +│ Scene timeline │ Mentor guidance │ +│ detections / scores / │ goal, step, next action, │ +│ frame stamps / model source │ supporting video citations │ +└─────────────────────────────┴─────────────────────────────┘ +Bottom: Push-to-talk / transcript, active routes, errors/latency, + recent snapshots and links to Search / Ask / video clips. +``` + +Support side-by-side/stacked layouts, fullscreen camera focus, overlay toggle, photo capture, freeze-frame for inspection, timeline scrubbing, visible camera permission/connection states, accessible control labels, informative onboarding and attractive empty states. Never auto-start capture. Never advertise 'tracking' if upstream results contain only per-frame detections without persistent track association. + +### 3.4 Models & Routing studio wireframe + +``` +Models & Routing +[Active profile ▼] [Save as] [Import YAML] [Export] [History/Rollback] +Provider cards: Laya | NVIDIA | Whisper | Cloud VLM | Embeddings | Custom +Feature matrix: Camera A/B scene | detect | track | mentor | STT | RAG | ingest +Route detail: single / fallback / parallel / sequential / conditional +Visual graph: Camera B → NVIDIA detector → Laya → mentor +YAML editor / schema errors / side-by-side diff +[Test synthetic] [Dry-run] [Apply] Trace + latency + error details +``` + +Offer **both** a form-based route builder and raw YAML editing. YAML upload populates editor and preview but does not apply immediately. Show endpoint URLs (redacted only where they reveal secrets), model IDs, protocol/capabilities, privacy authorization, expected payload type, cost/latency hints and destination status. Provider selection can be overridden for a single live session without changing the global default when safe. Support `Laya only`, `NVIDIA only`, `Hybrid parallel`, `NVIDIA→Laya`, `Fallback`, `Custom` preset profiles. + +## 4. Runtime architecture for HF CPU Basic + +``` +Browser HTTPS (laptop integrated + USB camera) + └── Original Next.js UI + Live + Models editor + └── same-origin /api and /media + ├── Next.js web server (or suitable build output) + └── FastAPI backend (private loopback) + ├── Video Library, upload, segmentation, thumbnails + ├── FFmpeg bounded background ingestion workers + ├── transcript and metadata DB / index manager + ├── NumPy search, MRL/RRF where compatible + ├── remote provider registry and feature router + ├── live-session coordinator, fusion, provenance + └── authorized outbound HTTPS inference endpoints + ├── Laya/Jev + ├── NVIDIA detection/tracking (verified adapter) + ├── Cloud VLM and mentor LLM + ├── Whisper-compatible STT + └── Text / multimodal embeddings +``` + +Use Docker, Python FastAPI and original Next.js (do not switch UI stacks). One externally exposed port `7860`; FastAPI stays on loopback or behind the same-origin gateway. Keep the Node server if needed for Next SSR; static export only if all existing UI/route behavior remains intact. Local FFmpeg and libraries are permitted for **media processing**; local GPU inference or large model weights are not required. Allow optional small CPU helpers (image hashing, VAD, keyframe extraction, simple tracking/association) if benchmarked; no blanket exclusion of `onnxruntime`/OpenCV/other reasonable CPU libraries. + +**Resource budgets (soft, measured rather than ideological):** target <8 GB memory in a normal dual-camera + moderate-index workload and keep at least 3–4 GB headroom; maximum under actual 16 GB cgroup. Background job concurrency defaults to 1–2 on 2 vCPU, adjustable through config; bounded queues and upload sizes; no unbounded 30 FPS cloud inference. Benchmark UI latency, FFmpeg throughput, startup, frame-to-overlay p50/p95, memory and provider-cost estimates. No artificial 200 MiB target. + +**Durability:** 50 GB base disk is ephemeral. Do not assume mounted persistent storage exists. Check current HF account/Space capabilities; external S3-compatible object store or private HF Dataset (with appropriate access controls) can hold video assets/index snapshots; external durable database if necessary. Store auth-sensitive runtime config in approved durable storage, backup/recover, never write API secrets into snapshots. Library data should survive Space rebuild/restart if persistence is configured; without it, warn explicitly. Verify runtime storage rather than trusting historical docs. + +## 5. Video RAG enhancement (must recover original product value) + +- Keep ingestion pipeline concepts: upload/import, media proxy generation, thumbnail/keyframes, ~30-second timestamp-aligned segments, transcripts, embedding/metadata manifests, retrieval views and RAG answers. +- Add video import UI and asynchronous jobs: upload progress; deduplication; FFmpeg transcode/seek-friendly proxy; remote Whisper transcription with timestamps; segment/keyframe extraction; remote image/video embeddings when supported; retry/resume/cancel; re-index status and audit trail. +- Use remote **text embeddings** for transcripts/captions. For genuine `frame`, `video`, `audio`, `fused` views, use a **verified compatible multimodal embedding family** providing the requisite shared space. Text-only vector similarity cannot masquerade as cross-modal retrieval. If missing, show disabled/unavailable view, explanation and setup path; retain legacy read-only manifests where compatible. +- Version vector indexes by provider, model, modality/view, dimension, preprocessing and segmentation version. Re-embed on changes, never mix incompatible vectors; enforce valid MRL dimensions and renormalization if model supports truncation. +- Keep reciprocal-rank fusion, source provenance and timestamps; avoid lowering retrieval quality just to remove ML dependencies. +- VLM answer adapter: send provider-supported image frames/transcripts/audio payloads; no `file://` references to remote APIs. Use strict caps on frames per retrieved clip and detailed citations. +- Maintain evaluation/experiments UI: synthetic and manual queries; recall@k and per-view comparisons only when results are genuinely comparable; preserve old experiment history with model labels and data provenance. +- Support a populated demo library or **realistic seeded fixture library** when no production corpus exists, clearly marked as sample content. No broken empty dashboard on first launch. + +## 6. Browser dual-camera and live perception + +- Use `navigator.mediaDevices.getUserMedia`, `enumerateDevices`, `devicechange`, `MediaStreamTrack` lifecycle; browser owns webcams. Physical laptop and USB cameras are selected on the user machine, never inside the HF container. +- Camera A/B can run independently or simultaneously, subject to physical and browser permissions; retain device selection in browser-local state (device IDs are not portable YAML config). +- Browser always renders fluid preview. Transfer only explicitly authorized sampled frames/crops. Configurable JPEG/WebP quality, FPS and resolution; adaptive backpressure, per-camera maximum outstanding requests, cancellation on stop, stale frame/route revision rejection, stop when browser tab hidden when appropriate. +- Bounding boxes are accepted only from a verified spatial detector/tracker output. Normalize coordinates with source dimensions, account for contain/cover, mirror, resize and orientation; show confidence, label, provider provenance and optional track ID. Laya decisions never become synthetic boxes. +- Split detector (spatial), tracker (temporal identity), Laya (rapid visual decisions), VLM (complex interpretation), mentor (advice); permit other provider capability combinations where validated. +- Provide timestamped camera/frame IDs for multi-view synchronized observations; never infer scene calibration or 3D geometry from two unsynchronized views. +- Remote Whisper push-to-talk and uploaded-video transcription; optional voice feedback only if a configured speech synthesis provider is available. +- No default recording or long-term saving of live frames; session snapshots require explicit save and clear retention rules. + +## 7. Flexible inference and YAML routing + +**Port and improve** prior `config/schema.py`, `vrag/providers.py`, `vrag/routing.py`, `vrag/mentor_api.py`, `vrag/egress.py`, configuration tests and live-safety guards from `feature/visual-mentor`, while adapting interfaces to the original UI and new feature map. + +Provider configuration supports: friendly label, adapter/protocol, endpoint environment reference, model identifier, capabilities, payload schema version, supported modalities, auth **secret reference**, timeouts, concurrency, max payload, allowed destinations, privacy tier, cost metadata, test status. Validate credentials only server-side; never write them into YAML. + +Routing strategies: `single`, `fallback`, `parallel`, `sequential`, `conditional`, and typed `ensemble` only where defensible. Parallel Laya+NVIDIA returns independent provenance-preserving outputs; result fusion combines semantically compatible fields without forging detections. Partial provider failures do not erase valid results. Include `all`, `first_valid`, or quorum policy where supported. Sequential passes typed outputs explicitly, not arbitrary prompt concatenation. Thresholds need calibration and policy documentation. + +**Security:** safe YAML loader, strict schema and migration version, 64KiB default file limit, schema lint and preview diff, authorized apply, compare-and-swap version, snapshot/rollback, deny SSRF/private hosts, redirect-safe pinned resolution or vetted egress proxy, per-destination sensitive-camera authorization checked again after fallbacks/parallel dispatch, secret redaction, request quota/concurrency, safe errors. HF private visibility is necessary but not sufficient for app-level authorization. + +Example (illustrative; Codex must migrate to actual validated schema): + +```yaml +version: 2 +profile: hybrid-lab +providers: + laya: + adapter: laya-vision + base_url_env: LAYA_BASE_URL + api_key_secret: LAYA_API_KEY + model: thaitea/laya-vision + capabilities: [visual_decision] + trust: approved_sensitive + nvidia: + adapter: detection-http + base_url_env: NVIDIA_DETECTION_BASE_URL + api_key_secret: NVIDIA_API_KEY + model: VERIFIED_NVIDIA_DETECTOR_ID + capabilities: [object_detection, bounding_boxes] + trust: approved_sensitive + whisper: + adapter: openai-transcription + base_url_env: WHISPER_BASE_URL + api_key_secret: WHISPER_API_KEY + model: VERIFIED_WHISPER_ID + capabilities: [transcription] + trust: approved_sensitive + cloud_vlm: + adapter: openai-chat-vision + base_url_env: VLM_BASE_URL + api_key_secret: VLM_API_KEY + model: VERIFIED_VLM_ID + capabilities: [image_understanding, reasoning] + trust: approved_sensitive +features: + live.camera1.scene: + strategy: single + providers: [laya] + live.camera2.detection: + strategy: parallel + providers: [nvidia, laya] + result_policy: all + fusion: spatial_semantic + live.visual_decision: + strategy: fallback + providers: [laya, cloud_vlm] + audio.transcription: + strategy: single + providers: [whisper] +``` + +The existing live Laya contract has only been qualified with synthetic frames and an advisory fixed question; inspect the actual upstream schema and do not claim free-form scene captioning or object localization without evidence. NVIDIA and Whisper require real endpoint qualification; placeholder model IDs are never deployable defaults. + +## 8. HF Space deployment and existing openweb remediation + +Target `https://huggingface.co/spaces/Leon4gr45/openweb` only after user approval. Do not assume the current deployment's content, access mode or source tree can be inspected remotely without credentials; verify via HF repo/API and browser screenshots. **Space must be private**, not merely a private GitHub development branch. Before deployment: back up existing HF Space repo/config/data, capture current screenshots, verify secrets, and prepare rollback commit. Publish from the new reviewed branch using the approved HF deploy method. Keep only application port 7860 public via HF; no additional exposed ports. + +Do not merge PR #1's deployment branch wholesale: audit `.hfignore`, README metadata, `vrag/api.py` OpenAPI changes and `web/next.config.mjs`. Ensure exactly one authoritative Next config and functional `/api`, `/media`, range seeking, health checks, frontend routes and HF reverse proxy host settings. A private Space should reject anonymous page, API and media access; test actual private-app access with a logged-in browser. + +Provide a visible health/status UI for absent provider credentials, storage, indexing and access. No production data migration without backup; no public video upload endpoints without user/app authorization. Do not publish/demo with misleading provider readiness badges. + +## 9. Mandatory private GitHub backup every 12 hours + +**Requirement:** Create a **separate private GitHub backup repository** (suggested name: `JsonLord/visual-mentor-backups`, unless an existing private repository is explicitly selected). Do **not** use the public application source repository as the destination for private user data. Repository creation, credentials, and activation require an authorized account/explicit confirmation; never claim that a workflow is active based only on generated files. + +### 9.1 Schedule and execution boundary + +- **Primary scheduler:** GitHub Actions in the **private backup repository**, not an in-process timer inside the HF Space. Use `on: schedule` with `cron: '17 0,12 * * *'` (UTC: every 12 hours) plus `workflow_dispatch` for immediate manual backups and testing. Scheduled Actions may run late or occasionally be skipped; treat **12 hours as the target cadence**, not a hard real-time guarantee. Add a stale-backup alert based on the actual successful-backup timestamp. +- **Primary data source:** Snapshot the **durable backing store** (approved private object store/database) instead of treating the Space's ephemeral filesystem as the only source of truth. If a protected Space export endpoint is used for derived state, authenticate through the HF private-access layer **and** an application-level short-lived/read-only export credential, verify it in a live staging test, and never expose unauthenticated dump URLs. +- **Concurrency:** One backup per environment at a time (`concurrency` group); retry transient failures with bounded backoff; never record a success when an upload, checksum verification, or manifest write failed. Missed schedules must be visible and manually recoverable. +- **Offline/sleep behavior:** The Action must not silently report success if the Space is sleeping/unreachable. Prefer direct reads from external durable state; if an export endpoint is unavoidable, report failure/blocked state, retry safely, and alert. Do not wake or mutate production without approval. + +### 9.2 Backup scope, confidentiality and storage limits + +Include versioned, consistent snapshots of: + +1. Model provider and route YAML profiles, including configuration history/rollback versions, **with no plaintext credentials or camera data**. +2. Application SQLite/metadata databases (use SQLite online-backup API or another transactionally consistent snapshot, never a live `.db` file copy), video/segment metadata, transcripts/captions, ingest/research job state, and saved non-sensitive mentor settings. +3. Versioned search/index manifests and manageable vector index artifacts, identified by embedding provider/model/dimensions and corpus revision; include enough information to recreate indexes if omitted by a size policy. +4. Source deployment identifiers, Space revision, schema version, backup format version, timestamps, counts, SHA-256 checksums and a complete **backup coverage manifest** (including excluded classes/objects and why). + +**Large original/proxy videos, audio and image assets** must be backed up to a private durable object store (or explicitly budgeted Git LFS if appropriate), NOT silently shoved into normal Git history. Store cryptographically verifiable asset inventory, object-store location identifiers and integrity hashes in the private GitHub backup repository. For a full restore, verify the object copies really exist and are accessible; a metadata-only backup is never advertised as a full media backup. Avoid GitHub's per-file Git limits, runaway repository history and unbounded Actions artifact usage. Apply explicit snapshot-retention and pruning policies (suggested: 14 days of 12-hourly snapshots, 8 weekly, 6 monthly, adjustable), without deleting the most recent known-good copy; document storage/cost implications. + +Backups must be **encrypted before entering GitHub**, even though the target repo is private. Recommended: an age recipient/public key configured for backup encryption; the private decryption key is stored independently of GitHub and the Space (offline/secure secret manager) and is never committed or logged. For encrypted binary snapshots, avoid storing secret plaintext in manifests, logs, Git diffs, GitHub Actions artifacts or issue alerts. Use a minimal-permission scoped credential/GitHub App where cross-repository reads or writes require it; the backup repository's workflow may write to its own repository using tightly scoped `GITHUB_TOKEN` `contents: write` permissions. Use protected repo settings, minimal access, no public releases or Pages. Do not grant broad `repo` PAT scope by default. + +### 9.3 Implementation interfaces and UI + +Implement a reusable backup/export service (e.g. `vrag/backup/`) and a self-contained runner (e.g. `scripts/backup_state.py` and `scripts/restore_state.py`). Add a private workflow at `.github/workflows/backup-12h.yml` in the **backup repository** (provide a documented installation/template path from the application source repo). Keep backup configuration separate from inference YAML, so importing model profiles cannot change backup destinations or tokens. Expose **admin-only status** in the existing UI's Settings/Models administration area: last attempted backup, last verified success, age, checksum/coverage result, failure reason and manual trigger instructions. A manual UI trigger, if added, must require administrator authorization and must not bypass GitHub schedule/approval controls. + +Implement `backup → upload → verify → manifest → report` and `list → download → verify checksums/signature/decrypt → dry-run → restore` flows. Restoration must support selecting a snapshot, checking compatibility, staging restored state in an isolated destination, verifying indexed media references and atomically promoting only after explicit operator confirmation. Never overwrite production state merely by running an automated test. Write `docs/backup-restore.md` with secrets provisioning, retention, alerting, data coverage, GitHub repo creation (private), operational costs and exact restore procedure. + +### 9.4 Mandatory qualification gates + +- Unit tests: consistent database snapshot under concurrent writes; excluded-secret scanning; no raw camera uploads; missing/corrupt asset detection; encrypted manifest/archives; size thresholds; failed exports and retries; no false success. +- Integration tests: a **manual `workflow_dispatch`** run in the private backup repository produces a real encrypted snapshot, checksums, asset manifest and successful commit; simulated failure is visible and alerted; successful restore into clean temporary storage produces equivalent content and expected indexes/config revisions. +- Resilience tests: Space container recreation or full rebuild does not eliminate the only copy of state; stale-backup monitor detects a deliberately missed schedule; retention does not remove the newest restorable backup. +- Sign-off: show private repository visibility, backup history/timestamps, contents (redacted), exact scope/exclusions, restore verification evidence, and the difference between GitHub metadata backup and external media backup. **Do not mark v2 deployed/fully backed up until an actual off-Space restore test passes.** + +## 10. Phase milestones and evidence gates + +**P0 — Evidence/branch safety.** Inspect all three branches, screenshot baseline UI, snapshot existing Space if accessible; create new branch from main; write porting map and no-regression matrix; verify latest commit IDs. No production mutation. + +**P1 — UI parity foundation.** Original Library, Search, Ask, Experiments, Architecture, video-detail and ClipPlayer fully work and look like `main`. Add graceful seeded corpus/demo. Screenshot comparison baseline. This phase is a blocking gate. + +**P2 — Remote inference + real RAG.** Port tested provider/security/routing backend from feature; preserve existing original API contracts or supply backward-compatible adapters. Remote text embeddings, video-source citations, answer generation; frame/image/video/audio views only when verified index exists. Add corpus ingestion/background jobs. + +**P3 — Integrated Live.** Build camera UI using original components/design, port lifecycle guards, dual camera, overlays, timeline, mentor guidance and push-to-talk. Browser mock tests + manual physical camera checklist. + +**P4 — Models & Routing studio.** UI form builder + YAML upload/editor/template/diff/apply/rollback/profiles; Laya/NVIDIA parallel, sequential/fallback, STT; safe synthetic tests and routing trace. Add per-session override. + +**P5 — Durable storage and 12-hour backup.** Implement private GitHub backup repository workflow, consistent encrypted state snapshots, external media coverage manifests, retention/alerting and dry-run restore. Prove a `workflow_dispatch` backup and off-Space restore in a staging environment; do not claim success based on a local cron mock. + +**P6 — HF staging deployment.** Build resource-fit Docker image, restore/backup strategy, remote provider smoke tests. Deploy to **private staging Space only with explicit approval**. Validate external browser access, authenticated session, both physical cameras, API/media paths and object storage durability. + +**P7 — Controlled switch to `openweb`.** User visual approval using before/after screenshots; backup and rollback; switch only after tested staging sign-off. Preserve evidence. + +### Required test matrix + +- Backend functionality: `/api/videos`, details, `/api/search`, `/api/search/image` (supported/unsupported), `/api/ask`, `/api/stats`, experiments, media Range streaming, ingress/ingest states and errors. +- UI: original page screenshot diffs, keyboard/mobile access, no missing nav, video seek, cited segments, meaningful no-data state, Live visual consistency. +- Live: two distinct simulated streams, camera permission and contention, stop/dispose, stale-frame version checks, bounding-box overlay geometry/mirroring, combined observations, voice recording. +- Models: schema/SSRF/secret/security tests, parallel/fallback/partial success, synthetic tests, real Laya, real NVIDIA/Whisper only with actual credentials, embedding mismatch/version isolation, restore after restart. +- Backup: private repo, external 12-hour GitHub Actions schedule and manual dispatch, encrypted consistent snapshots, full scope/asset inventory, missed-run alert, real staging restore and retention. +- Deployment: Docker startup, one exposed port, no local inference weights, measured 2-vCPU/16GB resource use, private HF authentication, external persistence/backups and rollback. + +### Done means + +1. Original Video RAG UX remains recognizable and fully functional (screenshots approved). +2. The Library has useful content and a working upload-to-index pipeline or clearly seeded evaluation corpus. +3. Search and Ask return evidence-backed answers with timestamps and playable clips. +4. Dual-camera Live works from the **laptop browser**, independently and in parallel where hardware permits. +5. YAML routes can switch Laya, NVIDIA, both, or a configured VLM; security checks remain intact. +6. The private HF Space runs within its actual 2-vCPU / 16 GB allocation and operates without a DGX dependency. +7. Storage durability and private access are tested in the actual deployment, not just locally. +8. A **private GitHub backup repository** runs a verified backup every 12 hours (target), with encrypted snapshots, documented media coverage, alerts, and a successful clean restore test. +9. Source, docs, test reports, screenshots, rollout/rollback instructions and branch SHAs are delivered. + +## 11. Explicit non-goals + +- Replacing the original Video RAG frontend or making Models & Routing the homepage. +- Achieving an arbitrary ultra-small Docker/RSS metric at the cost of product quality. +- Claiming any NVIDIA API is a spatial detector/tracker absent proof, or claiming Laya outputs boxes. +- Running large local VLMs or Whisper on CPU Basic. +- Continuous 30fps external inference, uncontrolled API spend or unconsented recording. +- Launching Docker research subagents inside the HF Space during this UI/RAG restoration milestone. +- Modifying DGX, Needle router or unrelated inference infrastructure. diff --git a/tests/fixtures/laya-live-synthetic.json b/tests/fixtures/laya-live-synthetic.json new file mode 100644 index 0000000000000000000000000000000000000000..f57c074db144f2241a28997f18e325c9b13eaf1c --- /dev/null +++ b/tests/fixtures/laya-live-synthetic.json @@ -0,0 +1,58 @@ +{ + "request_id": "a5d6a94c-699e-441f-aacd-c1b958bf24b6, a5d6a94c-699e-441f-aacd-c1b958bf24b6", + "backend": "laya-vision", + "model": "thaitea/laya-vision", + "results": { + "model": "laya-vlm", + "answers": { + "visual_signal": { + "type": "noul", + "noul": 0.3126, + "confidence": 0.6874, + "action": { + "act_probability": 0.9998 + } + } + }, + "usage": { + "input_tokens": 138, + "output_tokens": 0, + "images": 1 + }, + "provenance": { + "prompt_format_version": "1", + "checkpoint": { + "id": "thaitea/laya-vision", + "revision": "f2fe3c12cb6d04c59d8a190250bf3fb40fc828dc" + }, + "backbone": { + "id": "HuggingFaceTB/SmolVLM-256M-Instruct", + "revision": null + }, + "dtype": "float32", + "device": "cpu", + "torch": "2.14.0+cpu", + "transformers": "5.17.0", + "readout": "terminator", + "option_attention": "block", + "input_ids_sha256": "0bed35286c8256c6f5a680c72bdc571ce3a9d6c175e2ffe7741d5650a094a7dc", + "n_rows": 1, + "n_permutations": 1, + "temperatures": { + "visual_signal": 3.0531070232391357 + } + } + }, + "scheduler": { + "backend": "laya-vision", + "max_concurrency": 1, + "queue_depth_at_arrival": 0 + }, + "timing": { + "validation_ms": 0.07, + "queue_ms": 0, + "inference_ms": 13958.14, + "server_total_ms": 14370.02 + }, + "timestamp": "2026-10-16T17:16:43.048Z" +} \ No newline at end of file diff --git a/tests/live_github_recovery.py b/tests/live_github_recovery.py new file mode 100644 index 0000000000000000000000000000000000000000..0bc74fb26fccb307556a814a9a1ca60b6500a039 --- /dev/null +++ b/tests/live_github_recovery.py @@ -0,0 +1,125 @@ +"""Opt-in live GitHub recovery drill. Writes only a new test-* namespace. + +Run from checkout root: AGE_BIN=... python tests/live_github_recovery.py +Prefers VM_BACKUP_GITHUB_TOKEN, otherwise the existing GH_TOKEN; never prints credentials. +""" +import json +import os +from pathlib import Path +import shutil +import subprocess +import sys +import tempfile +import time +import uuid +sys.path.insert(0,str(Path(__file__).resolve().parents[1])) +from test_github_checkpoints import make_library +from vrag.backup.github import Checkpoints,GitHubStore,GitHubPermanentError,digest + + +def main(): + namespace='test-recovery-'+time.strftime('%Y%m%d')+'-'+uuid.uuid4().hex[:8] + repo='JsonLord/visual-mentor-backups' + evidence=Path('docs/evidence/github-recovery-live.json') + events=[] + expected={} + def diagnostic(event): + events.append(event) + evidence.write_text(json.dumps({'live':True,'status':'in_progress','namespace':namespace,'repository':repo,'credential_source':'VM_BACKUP_GITHUB_TOKEN' if os.environ.get('VM_BACKUP_GITHUB_TOKEN') else 'GH_TOKEN','http_events':events,'fixture_file_hashes':expected},indent=2)+'\n') + evidence.parent.mkdir(parents=True,exist_ok=True) + with tempfile.TemporaryDirectory(prefix='vm-live-recovery-') as temp: + temp=Path(temp);key=temp/'protected.agekey' + binary=os.environ.get('AGE_BIN','age');keygen=str(Path(binary).with_name('age-keygen')) + subprocess.run([keygen,'-o',str(key)],capture_output=True,check=True) + recipient=subprocess.run([keygen,'-y',str(key)],capture_output=True,text=True,check=True).stdout.strip() + remote=GitHubStore(repo,namespace,token=os.environ.get('VM_BACKUP_GITHUB_TOKEN') or os.environ['GH_TOKEN'],diagnostic=diagnostic) + backup=Checkpoints(remote,recipient,key) + root=temp/'work';data,state=make_library(root);stage=temp/'stage';stage.mkdir() + backup.capture(data,state,stage) + expected={p.relative_to(stage).as_posix():digest(p) for p in stage.rglob('*') if p.is_file()} + first=None + try: + first=backup.backup(stage) + second=backup.backup(stage) + except GitHubPermanentError as error: + report=json.loads(evidence.read_text()) + report.update(status='blocked',failure_code=error.code,status_code=error.status,failure_host=error.host,request_id=error.request_id,committed_checkpoints=1 if first else 0,first_checkpoint=first['checkpoint'] if first else None,recovery_verified=False) + evidence.write_text(json.dumps(report,indent=2)+'\n') + print(json.dumps({'status':'blocked','failure_code':error.code,'host':error.host,'status_code':error.status,'request_id':error.request_id})) + return False + # Only a new manifest should be uploaded on the unchanged second checkpoint. + releases=remote.request('GET',remote.base+'/releases',params={'per_page':100}).json() + test_releases=[r for r in releases if r['tag_name'].startswith('vm-'+namespace+'-')] + assets={r['tag_name']:remote.assets(r['id']) for r in test_releases} + newest=next(v for k,v in assets.items() if k.endswith(second['checkpoint'])) + assert len(newest)==1,'unchanged media was reuploaded' + shutil.rmtree(stage);shutil.rmtree(root) + # A genuinely fresh interpreter restores before importing application globals. + env={**os.environ,'VM_BACKUP_ENABLED':'true','VM_BACKUP_REPOSITORY':repo,'VM_BACKUP_NAMESPACE':namespace, + 'VM_BACKUP_GITHUB_TOKEN':os.environ.get('VM_BACKUP_GITHUB_TOKEN') or os.environ['GH_TOKEN'],'VM_BACKUP_RECIPIENT':recipient,'VM_BACKUP_IDENTITY_FILE':str(key), + 'VM_RECOVERY_ROOT':str(root),'VRAG_DATA':str(root/'data'),'VM_STATE_DIR':str(root/'state'), + 'VM_USER_TOKEN':'test-user-'+'u'*32,'VM_ADMIN_TOKEN':'test-admin-'+'a'*32} + code=''' +from vrag.backup.service import bootstrap +bootstrap() +from pathlib import Path +from vrag.backup.github import digest +import os,json +root=Path(os.environ['VM_RECOVERY_ROOT']) +restored_hashes={p.relative_to(root).as_posix():digest(p) for p in root.rglob('*') if p.is_file() and p.name!='backup-health.json'} +from fastapi.testclient import TestClient +from vrag.api import app,rag +import numpy as np +async def synthetic_query(text):return np.array([1,0,0],dtype=np.float32) +rag.query=synthetic_query # deterministic query vector; no live provider claim +import os,json +os.environ['VM_BACKUP_ENABLED']='false' # test checkpoint already exists; no new writes to remote +headers={'Authorization':'Bearer '+os.environ['VM_USER_TOKEN']} +with TestClient(app) as client: + r=client.get('/api/videos',headers=headers) + assert r.status_code==200,r.status_code + assert r.json()[0]['id']=='v1',r.json() + s=client.get('/api/stats',headers=headers) + assert s.status_code==200,s.status_code + assert s.json()['segments']==1,s.json() + search=client.get('/api/search',params={'q':'blue test video','dim':3,'view':'text'},headers=headers) + assert search.status_code==200 and search.json()['hits'][0]['video_id']=='v1' + media=client.get('/media/v1/video.mp4',headers={**headers,'Range':'bytes=0-31'}) + assert media.status_code==206 and len(media.content)==32 + assert client.get('/media/v1/video.mp4').status_code==401 + c=client.get('/api/config',headers={'Authorization':'Bearer '+os.environ['VM_ADMIN_TOKEN']}) + assert c.status_code==200 and c.json()['config']['profile']=='recovered' +print(json.dumps({'fresh_app_library':True,'index_segments':1,'configuration_recovered':True,'search_route':True,'query_embedding':'synthetic deterministic stub','media_range':True,'anonymous_media_denied':True,'restored_file_hashes':restored_hashes})) +''' + result=subprocess.run([sys.executable,'-c',code],env=env,capture_output=True,text=True,timeout=300) + if result.returncode:raise ValueError('fresh application recovery verification failed: '+result.stderr[-1800:]) + child=json.loads(result.stdout.strip().splitlines()[-1]) + assert child['restored_file_hashes']==expected,'pre-startup recovered file hashes differ' + subprocess.run(['ffmpeg','-hide_banner','-loglevel','error','-i',str(root/'data/videos/v1/video.mp4'),'-f','null','-'],capture_output=True,check=True,timeout=30) + # Application startup may alter SQLite journal metadata; verify logical rows too. + import sqlite3 + with sqlite3.connect(root/'data/jobs.sqlite') as database: + assert database.execute('SELECT status FROM jobs').fetchone()==('complete',) + + report={'live':True,'repository':repo,'namespace':namespace,'first_checkpoint':first['checkpoint'], + 'recovered_checkpoint':second['checkpoint'],'files':len(expected),'all_file_hashes_match':True,'file_hashes':expected,'media_decode_verified':True,'sqlite_integrity_and_rows_match':True, + 'incremental_unchanged_checkpoint_assets':len(newest),'encrypted_asset_bytes':sum(a['size'] for rows in assets.values() for a in rows), + 'fresh_application_checks':child,'status':'passed','http_events':events,'asset_counts':{tag:len(rows) for tag,rows in assets.items()}, + 'key_disposition':'ephemeral test identity destroyed after drill; no production keys used', + 'scheduling_verified':False} + output=Path('docs/evidence/github-recovery-live.json');output.parent.mkdir(parents=True,exist_ok=True);output.write_text(json.dumps(report,indent=2)+'\n') + print(json.dumps({k:v for k,v in report.items() if k not in ('http_events','file_hashes','fresh_application_checks')})) + return True + + +if __name__=='__main__': + try: + passed=main() + except Exception as error: + evidence=Path('docs/evidence/github-recovery-live.json') + report=json.loads(evidence.read_text()) if evidence.exists() else {} + report.update(status='failed',failure_code='live_drill_failed',error_type=type(error).__name__,recovery_verified=False) + evidence.write_text(json.dumps(report,indent=2)+'\n') + print(json.dumps({'status':'failed','error_type':type(error).__name__})) + passed=False + raise SystemExit(0 if passed else 2) diff --git a/tests/test_api_config.py b/tests/test_api_config.py new file mode 100644 index 0000000000000000000000000000000000000000..3b531e6d70ce08527d31042b3951d0f307946f99 --- /dev/null +++ b/tests/test_api_config.py @@ -0,0 +1,44 @@ +import pytest +from fastapi.testclient import TestClient +from vrag.api import app +from vrag.settings import ConfigStore + +@pytest.fixture +def admin_client(tmp_path,monkeypatch): + store=ConfigStore(tmp_path) + monkeypatch.setattr('vrag.mentor_api.store',store) + monkeypatch.setenv('VM_ADMIN_TOKEN','a'*32) + with TestClient(app,headers={'Authorization':'Bearer '+'a'*32}) as c:yield c + +def test_validate_apply_rollback_version_conflict_and_redaction(admin_client): + c=admin_client + assert c.post('/api/config/validate',json={'yaml':'profile: changed'}).json()['changed_sections']==['profile'] + r=c.post('/api/config/apply',json={'yaml':'profile: changed','expected_version':1}) + assert r.status_code==200 and r.json()['config_version']==2 + assert c.post('/api/config/apply',json={'yaml':'profile: stale','expected_version':1}).status_code==409 + assert c.post('/api/config/rollback',json={'version':1,'expected_version':2}).status_code==200 + cfg=c.get('/api/config').json() + assert cfg['config_version']==3 and 'unconfigured' in cfg['yaml'] + assert 'a'*32 not in cfg['yaml'] + bad=c.post('/api/config/validate',json={'yaml':'api_key: TOP_SECRET'}) + assert bad.status_code==422 and 'TOP_SECRET' not in bad.text + +def test_all_configuration_paths_require_admin(admin_client): + c=admin_client + headers={'Authorization':'Bearer '+'u'*32} + for path in ['/api/config','/api/config/template','/api/config/profiles']: + assert c.get(path,headers=headers).status_code==401 + for path,body in [('/api/config/validate',{'yaml':'{}'}),('/api/config/apply',{'yaml':'{}'}),('/api/config/rollback',{'version':1,'expected_version':1}),('/api/providers/x/test',{}),('/api/routing/dry-run',{'feature':'live.camera1.scene'})]: + assert c.post(path,headers=headers,json=body).status_code==401 + +def test_unconfigured_disabled_optional_provider_does_not_block_config(admin_client,monkeypatch): + monkeypatch.delenv('OPTIONAL_URL',raising=False) + body={'yaml':'''profile: optional-disabled +providers: + optional: {adapter: openai-transcription, base_url_env: OPTIONAL_URL, model: whisper, capabilities: [transcription]} +features: + audio.transcription: {providers: [optional], enabled: false} +''','expected_version':1} + assert admin_client.post('/api/config/apply',json=body).status_code==200 + assert admin_client.get('/api/health').status_code==200 + assert admin_client.post('/api/config/validate',json={**body,'yaml':body['yaml'].replace('enabled: false','enabled: true')}).status_code==422 diff --git a/tests/test_config.py b/tests/test_config.py new file mode 100644 index 0000000000000000000000000000000000000000..b78aad9604010d3de37a9f17ef2e642a773b2cf4 --- /dev/null +++ b/tests/test_config.py @@ -0,0 +1,61 @@ +import pytest +from config.schema import Configuration, parse_yaml +from vrag.settings import ConfigStore + +def test_yaml_rejects_code_aliases_duplicates_and_secret_values(): + for text in ['!!python/object/apply:os.system [echo bad]', 'a: &a [*a]', 'version: 1\nversion: 1', 'providers:\n p:\n api_key: secret', 'privacy: {record_video: true}']: + with pytest.raises(Exception): + parse_yaml(text) + +def test_capabilities_and_references(): + with pytest.raises(ValueError): + parse_yaml('features: {rag.text_embeddings: {providers: [missing]}}') + with pytest.raises(ValueError): + parse_yaml('providers: {x: {adapter: openai-chat-vision, base_url_env: URL, model: x, capabilities: [bounding_boxes]}}') + +@pytest.mark.asyncio +async def test_atomic_history_snapshot_and_restart(tmp_path): + s=ConfigStore(tmp_path) + version, snapshot=s.snapshot() + await s.apply(Configuration(profile='new'), version) + assert snapshot.profile == 'unconfigured' + assert ConfigStore(tmp_path).snapshot()[1].profile == 'new' + with pytest.raises(ValueError, match='reload'): + await s.apply(Configuration(), version) + await s.apply(s.history[0], 2) + assert ConfigStore(tmp_path).snapshot()[1].profile == 'unconfigured' + +@pytest.mark.asyncio +async def test_read_only_defaults(monkeypatch): + monkeypatch.delenv('VM_STATE_DIR', raising=False) + with pytest.raises(ValueError, match='read-only'): + await ConfigStore().apply(Configuration(), 1) + +@pytest.mark.asyncio +async def test_backup_is_previous_committed_history(tmp_path): + import json + s=ConfigStore(tmp_path) + await s.apply(Configuration(profile='first'),1) + await s.apply(Configuration(profile='second'),2) + previous=json.loads((tmp_path/'config-history.backup.json').read_text()) + assert previous[-1]['profile']=='first' + assert ConfigStore(tmp_path).snapshot()[1].profile=='second' + +def test_placeholder_models_are_never_enabled_by_templates(): + from pathlib import Path + import yaml + for path in Path('config/examples').glob('*.yaml'): + cfg=parse_yaml(path.read_text()) + assert all(not route.enabled for route in cfg.features.values()) + text='''providers: + p: {adapter: openai-embeddings, model: replace-with-model, base_url_env: URL, capabilities: [text_embeddings]} +features: + rag.text_embeddings: {providers: [p]} +''' + with pytest.raises(ValueError,match='placeholder'):parse_yaml(text) + +def test_provider_yaml_cannot_repurpose_admin_or_infrastructure_secrets(): + from config.schema import Provider + for name in ('VM_ADMIN_TOKEN','VM_USER_TOKEN','HF_TOKEN','GITHUB_TOKEN','AWS_SECRET_ACCESS_KEY','RCLONE_CONFIG_BASE64','AGE_RECOVERY_KEY','HTTPS_PROXY'): + with pytest.raises(ValueError,match='cannot reference'): + Provider(adapter='openai-embeddings',model='embedding',capabilities=['text_embeddings'],base_url_env='URL',api_key_secret=name) diff --git a/tests/test_github_checkpoints.py b/tests/test_github_checkpoints.py new file mode 100644 index 0000000000000000000000000000000000000000..4544fa9984c5ce96bfdb01b592066d50e0fac2f3 --- /dev/null +++ b/tests/test_github_checkpoints.py @@ -0,0 +1,405 @@ +"""Real age/SQLite/FFmpeg; GitHub transport is mocked unless live script used.""" +import json +import os +from pathlib import Path +import shutil +import sqlite3 +import subprocess + +import httpx +import numpy as np +import pytest + +from vrag.backup.github import Checkpoints, GitHubStore, digest + + +class MemoryGitHub: + """Explicit mock of immutable GitHub records and encrypted release assets.""" + def __init__(self):self.rows=[];self.blobs={};self.records={};self.uploads=0;self.fail=False + def verify(self):pass + def checkpoints(self):return list(reversed(self.rows)) + def record(self,row):return self.records[row['path']] + def release(self,checkpoint):return checkpoint + def upload(self,release,source): + if self.fail:raise ValueError('simulated upload failure') + self.uploads+=1;ref={'id':len(self.blobs)+1,'sha256':digest(source),'bytes':source.stat().st_size} + self.blobs[ref['id']]=source.read_bytes();assert self.blobs[ref['id']].startswith(b'age-encryption.org/') + return ref + def download(self,ref,target): + value=self.blobs[ref['id']];target.write_bytes(value) + if digest(target)!=ref['sha256']:raise ValueError('ciphertext checksum mismatch') + def commit(self,checkpoint,ref): + path=checkpoint+'.json';self.rows.append({'path':path});self.records[path]={'format':2,'manifest':ref} + + +def make_library(root): + data=root/'data';state=root/'state';v=data/'videos/v1';v.mkdir(parents=True);state.mkdir() + subprocess.run(['ffmpeg','-hide_banner','-loglevel','error','-f','lavfi','-i','color=c=blue:s=160x90:d=1','-c:v','libx264','-threads','1','-y',str(v/'video.mp4')],check=True) + shutil.copyfile(v/'video.mp4',v/'original') + subprocess.run(['ffmpeg','-hide_banner','-loglevel','error','-i',str(v/'video.mp4'),'-frames:v','1','-threads','1',str(v/'thumb.jpg')],check=True) + segments=[{'id':'v1_000','video_id':'v1','title':'Recovery fixture','idx':0,'start':0,'end':1,'text':'blue test video'}] + (v/'meta.json').write_text(json.dumps({'id':'v1','title':'Recovery fixture','duration':1})) + (v/'transcript.json').write_text(json.dumps([{'start':0,'end':1,'text':'blue test video'}])) + (v/'segments.json').write_text(json.dumps(segments));(v/'segments').mkdir();shutil.copyfile(v/'thumb.jpg',v/'segments/000.jpg') + revision='a'*32;index=data/'index/revisions'/revision;index.mkdir(parents=True) + (data/'index/CURRENT').write_text(revision) + np.save(index/'text.npy',np.array([[1,0,0]],dtype=np.float32)) + (index/'segments.json').write_text(json.dumps(segments)) + (index/'manifest.json').write_text(json.dumps({'dimension':3,'views':{'text':{'count':1}},'embedding_space':'test-only','segments':1,'corpus_revision':revision})) + (state/'config-history.json').write_text('[{"version":1,"profile":"recovered"}]') + (data/'answers').mkdir();(data/'answers/history.jsonl').write_text('{"answer":"test evidence [1]","clips":[]}\n') + with sqlite3.connect(data/'jobs.sqlite') as db: + db.execute('CREATE TABLE jobs(id TEXT PRIMARY KEY, video_id TEXT, title TEXT, status TEXT, stage TEXT, error TEXT, created REAL, updated REAL, attempts INTEGER DEFAULT 0, transcript TEXT)') + db.execute("INSERT INTO jobs(id,video_id,title,status,stage,created,updated) VALUES('job1','v1','Recovery fixture','complete','searchable',1,1)") + return data,state + + +@pytest.fixture +def encrypted(tmp_path,monkeypatch): + binary=os.environ.get('AGE_BIN') or shutil.which('age') + if not binary:pytest.skip('age required') + monkeypatch.setenv('AGE_BIN',binary) + keygen=str(Path(binary).with_name('age-keygen'));key=tmp_path/'test.agekey' + subprocess.run([keygen,'-o',str(key)],capture_output=True,check=True) + recipient=subprocess.run([keygen,'-y',str(key)],capture_output=True,text=True,check=True).stdout.strip() + store=MemoryGitHub();return Checkpoints(store,recipient,key),store + + +def test_complete_destructive_recovery_incremental_and_configuration(encrypted,tmp_path): + backup,remote=encrypted;root=tmp_path/'working';data,state=make_library(root) + stage=tmp_path/'stage';stage.mkdir();backup.capture(data,state,stage) + before={p.relative_to(stage).as_posix():digest(p) for p in stage.rglob('*') if p.is_file()} + first=backup.backup(stage);uploads=remote.uploads + # Same media content across original/proxy deduplicates even within checkpoint. + assert uploads0 for p in stage.rglob('*') if p.is_file())+1 + second=backup.backup(stage);assert remote.uploads==uploads+1 # manifest only + assert second['coverage']['index_segments']==1 + shutil.rmtree(root);shutil.rmtree(stage) + # Local stage and source are gone: only encrypted mock GitHub bytes and key remain. + result=backup.restore(root);assert result['verified'] + assert before=={p.relative_to(root).as_posix():digest(p) for p in root.rglob('*') if p.is_file()} + with sqlite3.connect(root/'data/jobs.sqlite') as db:assert db.execute('SELECT status FROM jobs').fetchone()==('complete',) + assert json.loads((root/'state/config-history.json').read_text())[0]['profile']=='recovered' + assert np.load(root/'data/index/revisions'/('a'*32)/'text.npy').tolist()==[[1,0,0]] + with pytest.raises(ValueError,match='new'):backup.restore(root) + + +def test_no_commit_when_partial_upload_and_corruption_fail_closed(encrypted,tmp_path): + backup,remote=encrypted;data,state=make_library(tmp_path/'source');stage=tmp_path/'stage';stage.mkdir();backup.capture(data,state,stage) + remote.fail=True + with pytest.raises(ValueError):backup.backup(stage) + assert not remote.checkpoints() + remote.fail=False;backup.backup(stage) + object_id=next(iter(remote.blobs));remote.blobs[object_id]+=b'corrupted' + with pytest.raises(ValueError):backup.restore(tmp_path/'clean') + assert not (tmp_path/'clean').exists() + + +def test_unknown_state_missing_media_symlink_and_capacity(encrypted,tmp_path): + backup,_=encrypted;data,state=make_library(tmp_path/'source');stage=tmp_path/'stage';stage.mkdir() + (state/'secret.key').write_text('secret') + with pytest.raises(ValueError):backup.capture(data,state,stage) + shutil.rmtree(stage);stage.mkdir() + (state/'secret.key').unlink();(data/'videos/v1/original').unlink() + with pytest.raises(ValueError,match='incomplete'):backup.capture(data,state,stage) + + +def test_github_privacy_redirect_and_pagination(): + captured=[] + def server(request): + captured.append(request) + if request.url.path.endswith('/releases/assets/1'): + return httpx.Response(302,headers={'location':'https://evil.example/steal'}) + return httpx.Response(200,json={'private':False}) + store=GitHubStore('test/private',token='test-token',client=httpx.Client(transport=httpx.MockTransport(server))) + with pytest.raises(ValueError,match='private'):store.verify() + with pytest.raises(ValueError,match='redirect'):store.download({'id':1},Path('/unused')) + assert len(captured)==2 + + +def test_backup_routes_protected_and_coordinator_scoped(monkeypatch): + from fastapi.testclient import TestClient + from vrag.api import app + monkeypatch.setenv('VM_ADMIN_TOKEN','a'*32);monkeypatch.setenv('VM_BACKUP_TRIGGER_TOKEN','b'*32) + client=TestClient(app) + assert client.get('/api/admin/backup-status').status_code==401 + assert client.post('/api/admin/backup').status_code==401 + headers={'X-VM-Backup-Token':'b'*32} + assert client.get('/api/admin/backup-status',headers=headers).status_code==200 + assert client.get('/api/config',headers=headers).status_code==401 + assert client.post('/api/admin/backup/recovery-test',headers=headers).status_code==401 + assert client.get('/api/admin/backup-status',headers={**headers,'Origin':'https://evil.example'}).status_code==403 + + +def test_coordinator_mock_wake_and_completion(monkeypatch): + from scripts.coordinate_backup import coordinate + monkeypatch.setenv('VM_SPACE_URL','https://test-private.hf.space');monkeypatch.setenv('VM_SPACE_ID','test/private') + monkeypatch.setenv('HF_SPACE_TOKEN','hf-test');monkeypatch.setenv('VM_BACKUP_TRIGGER_TOKEN','t'*32) + polls=0 + def server(request): + nonlocal polls + if request.url.host=='huggingface.co':return httpx.Response(200,json={'private':True}) + assert request.headers['authorization']=='Bearer hf-test' + assert request.headers['x-vm-backup-token']=='t'*32 + if request.method=='POST':return httpx.Response(200,json={'accepted':True}) + polls+=1 + if polls==1:return httpx.Response(503) + return httpx.Response(200,json={'configured':True,'last_success':None if polls==2 else {'checkpoint':'new','created_at':100}}) + result=coordinate(httpx.Client(transport=httpx.MockTransport(server)),sleep=lambda _:None,clock=lambda:100) + assert result['verified'] and polls==3 + + +def test_empty_startup_restores_config_before_fresh_application_import(encrypted,tmp_path,monkeypatch): + backup,remote=encrypted;root=tmp_path/'work';data,state=make_library(root) + stage=tmp_path/'stage';stage.mkdir();backup.capture(data,state,stage);backup.backup(stage) + expected={p.relative_to(stage).as_posix():digest(p) for p in stage.rglob('*') if p.is_file()} + shutil.rmtree(root);shutil.rmtree(stage) + from vrag.backup import service + monkeypatch.setenv('VM_BACKUP_ENABLED','true');monkeypatch.setenv('VM_RECOVERY_ROOT',str(root)) + monkeypatch.setenv('VRAG_DATA',str(root/'data'));monkeypatch.setenv('VM_STATE_DIR',str(root/'state')) + monkeypatch.setenv('VM_BACKUP_IDENTITY_FILE',str(backup.identity)) + monkeypatch.setattr(service,'engine',lambda:backup) + service.bootstrap() + actual={p.relative_to(root).as_posix():digest(p) for p in root.rglob('*') if p.is_file() and p.name!='backup-health.json'} + assert actual==expected + # Separate interpreter has no stale ConfigStore/index module globals. + code=''' +from fastapi.testclient import TestClient +from vrag.api import app +from vrag.settings import store +from vrag.index import get_index +assert store.snapshot()[1].profile=='recovered' +assert len(get_index().segments)==1 +import os +os.environ['VM_BACKUP_ENABLED']='false' # restore already completed; do not create another backup during route checks +with TestClient(app) as client: + response=client.get('/api/videos',headers={'Authorization':'Bearer '+'u'*32}) + assert response.status_code==200 and response.json()[0]['id']=='v1' + assert client.get('/api/jobs',headers={'Authorization':'Bearer '+'u'*32}).json()[0]['status']=='complete' +''' + result=subprocess.run([os.sys.executable,'-c',code],env={**os.environ,'VM_USER_TOKEN':'u'*32},capture_output=True,text=True,timeout=30) + assert result.returncode==0,result.stderr + # Nonempty state is left untouched, even if the remote later becomes corrupt. + remote.blobs.clear();service.bootstrap();assert (root/'data/videos/v1/original').exists() + + +def test_first_boot_requires_explicit_empty_authorization(encrypted,tmp_path,monkeypatch): + backup,_=encrypted + from vrag.backup import service + root=tmp_path/'new' + monkeypatch.setenv('VM_BACKUP_ENABLED','true');monkeypatch.setenv('VM_RECOVERY_ROOT',str(root)) + monkeypatch.setenv('VRAG_DATA',str(root/'data'));monkeypatch.setenv('VM_STATE_DIR',str(root/'state')) + monkeypatch.setenv('VM_BACKUP_IDENTITY_FILE',str(backup.identity)) + monkeypatch.delenv('VM_BACKUP_ALLOW_EMPTY',raising=False);monkeypatch.setattr(service,'engine',lambda:backup) + with pytest.raises(ValueError,match='authorization'):service.bootstrap() + monkeypatch.setenv('VM_BACKUP_ALLOW_EMPTY','true');service.bootstrap() + assert (root/'data').is_dir() and (root/'state').is_dir() + + +def test_wrong_key_never_publishes_checkpoint(encrypted,tmp_path): + backup,remote=encrypted;data,state=make_library(tmp_path/'source');stage=tmp_path/'stage';stage.mkdir();backup.capture(data,state,stage) + keygen=str(Path(os.environ['AGE_BIN']).with_name('age-keygen')) + other=tmp_path/'wrong.agekey';subprocess.run([keygen,'-o',str(other)],capture_output=True,check=True) + backup.identity=other + with pytest.raises(ValueError,match='age operation'):backup.backup(stage) + assert not remote.rows and not remote.blobs + + +def test_index_coverage_rejects_missing_revision_and_invalid_vectors(encrypted,tmp_path): + backup,_=encrypted;data,state=make_library(tmp_path/'source');stage=tmp_path/'stage';stage.mkdir() + np.save(data/'index/revisions'/('a'*32)/'text.npy',np.array([[float('nan'),0,0]],dtype=np.float32)) + with pytest.raises(ValueError,match='coverage'):backup.capture(data,state,stage) + + +def test_secret_identity_materialized_outside_state(monkeypatch,tmp_path): + from vrag.backup.service import provision_identity + monkeypatch.delenv('VM_BACKUP_IDENTITY_FILE',raising=False) + monkeypatch.setenv('VM_BACKUP_IDENTITY','test-protected-identity') + provision_identity();path=Path(os.environ['VM_BACKUP_IDENTITY_FILE']) + try: + assert path.stat().st_mode&0o777==0o600 + assert path.read_text().strip()=='test-protected-identity' + assert 'VM_BACKUP_IDENTITY' not in os.environ + finally:path.unlink() + + +@pytest.mark.asyncio +async def test_resident_timer_bounded_retries_and_success_health(monkeypatch,tmp_path): + import asyncio + from vrag.backup import service + root=tmp_path/'work';data=root/'data';state=root/'state';data.mkdir(parents=True);state.mkdir() + monkeypatch.setenv('VM_BACKUP_ENABLED','true');monkeypatch.setenv('VM_STATE_DIR',str(state)) + monkeypatch.setattr(service,'roots',lambda:(root,data,state)) + attempts=0;timeouts=[] + class Store: + base='https://mock.invalid';namespace='test' + def checkpoints(self):return [{'path':'checkpoints/test/2026/checkpoint.json'}] + def request(self,*args,**kwargs):return httpx.Response(200,json=[]) + class Engine: + store=Store() + def capture(self,*args):pass + def backup(self,stage,progress): + nonlocal attempts + attempts+=1 + if attempts<3:raise ValueError('temporary test failure') + progress(pending_uploads=0) + return {'checkpoint':'checkpoint','created_at':123} + monkeypatch.setattr(service,'engine',Engine) + original=asyncio.wait_for + async def wait(awaitable,timeout): + timeouts.append(timeout) + if len(timeouts)==1: + awaitable.close();raise TimeoutError() + return await original(awaitable,timeout) + monkeypatch.setattr(service.asyncio,'wait_for',wait) + q=service.BackupQueue();task=asyncio.create_task(q.run()) + try: + for _ in range(100): + if service.health().get('encrypted_storage_bytes')==0:break + await asyncio.sleep(.05) + assert attempts==3 + assert timeouts[0]==12*3600 and 90 in timeouts + report=service.health() + assert report['last_success']['checkpoint']=='checkpoint' + assert report['failure_code'] is None and report['pending_uploads']==0 + finally: + task.cancel();await asyncio.gather(task,return_exceptions=True) + + +def test_full_documented_github_http_transport_roundtrip(encrypted,tmp_path,monkeypatch): + """Mock HTTP endpoints, real encryption. Signed redirects must strip auth.""" + import base64 + backup,_=encrypted;blobs={};records={};releases={};asset_count=0;redirects=0 + monkeypatch.setattr('vrag.backup.github.ASSETS_PER_RELEASE',2) + def server(request): + nonlocal asset_count,redirects + path=request.url.path;method=request.method + if request.url.host=='release-assets.githubusercontent.com': + assert 'authorization' not in request.headers + redirects+=1 + return httpx.Response(200,content=blobs[int(path.strip('/'))]['body']) + assert request.headers['authorization']=='Bearer mock-scoped-token' + if request.url.host=='uploads.github.com': + asset_count+=1;body=request.content;rid=int(path.split('/')[-2]) + blobs[asset_count]={'id':asset_count,'name':request.url.params['name'],'size':len(body),'body':body,'release':rid} + return httpx.Response(201,json={k:v for k,v in blobs[asset_count].items() if k!='body'}) + relative=path.removeprefix('/repos/test/private') + if relative=='':return httpx.Response(200,json={'private':True}) + if relative.startswith('/contents/'): + name=relative.removeprefix('/contents/') + if method=='PUT': + if name in records:return httpx.Response(409) + records[name]=json.loads(request.content)['content'] + return httpx.Response(201,json={'content':{'path':name}}) + if name in records:return httpx.Response(200,json={'content':records[name]}) + children={} + for record in records: + prefix=name+'/' + if record.startswith(prefix): + part=record[len(prefix):].split('/')[0] + children[part]={'type':'dir' if '/' in record[len(prefix):] else 'file','name':part,'path':prefix+part} + return httpx.Response(200,json=list(children.values())) if children else httpx.Response(404) + if relative.startswith('/releases/tags/'): + tag=relative.removeprefix('/releases/tags/') + return httpx.Response(200,json=releases[tag]) if tag in releases else httpx.Response(404) + if relative=='/releases' and method=='POST': + payload=json.loads(request.content);release={'id':len(releases)+1,'tag_name':payload['tag_name'],'upload_url':f'https://uploads.github.com/repos/test/private/releases/{len(releases)+1}/assets{{?name,label}}'};releases[release['tag_name']]=release + return httpx.Response(201,json=release) + if relative.startswith('/releases/assets/'): + asset=int(relative.split('/')[-1]) + return httpx.Response(302,headers={'location':f'https://release-assets.githubusercontent.com/{asset}'}) + if relative.startswith('/releases/') and relative.endswith('/assets'): + rid=int(relative.split('/')[-2]) + return httpx.Response(200,json=[{k:v for k,v in blob.items() if k!='body'} for blob in blobs.values() if blob['release']==rid]) + raise AssertionError((method,relative)) + backup.store=GitHubStore('test/private',namespace='test',token='mock-scoped-token',client=httpx.Client(transport=httpx.MockTransport(server))) + data,state=make_library(tmp_path/'source');stage=tmp_path/'stage';stage.mkdir();backup.capture(data,state,stage) + result=backup.backup(stage);restored=tmp_path/'restored' + assert backup.restore(restored)['checkpoint']==result['checkpoint'] + assert len(records)==1 and redirects>2 and len(releases)>1 + assert (restored/'data/videos/v1/original').read_bytes()==(data/'videos/v1/original').read_bytes() + assert all(b'Recovery fixture' not in blob['body'] for blob in blobs.values()) + + +@pytest.mark.parametrize('status',[401,403,422]) +def test_upload_permanent_rejections_are_not_retried(tmp_path,status): + from vrag.backup.github import GitHubPermanentError + events=[];posts=[];cipher=tmp_path/'cipher.age';cipher.write_bytes(b'synthetic encrypted fixture') + def server(request): + if request.method=='GET':return httpx.Response(200,json=[]) + posts.append(request) + return httpx.Response(status,headers={'x-github-request-id':'TEST:REQUEST','location':'https://example.invalid/?secret=never-log'},json={'message':'never-log-response-body'}) + store=GitHubStore('test/private',token='never-log-token',client=httpx.Client(transport=httpx.MockTransport(server)),diagnostic=events.append) + release={'id':1,'upload_url':'https://uploads.github.com/repos/test/private/releases/1/assets{?name,label}'} + with pytest.raises(GitHubPermanentError) as error:store.upload(release,cipher) + assert error.value.status==status and len(posts)==1 + serialized=json.dumps(events) + assert 'never-log' not in serialized and events[-1]['headers']['x-github-request-id']=='TEST:REQUEST' + assert events[-1]['client_authorization_attached'] is True + + +def test_upload_url_authorized_before_sending_credentials(tmp_path): + cipher=tmp_path/'cipher.age';cipher.write_bytes(b'fixture') + def forbidden(request):raise AssertionError('request must never leave client') + store=GitHubStore('test/private',token='test-token',client=httpx.Client(transport=httpx.MockTransport(forbidden))) + for url in ('https://evil.example/repos/test/private/releases/1/assets{?name,label}', + 'http://uploads.github.com/repos/test/private/releases/1/assets{?name,label}', + 'https://uploads.github.com/repos/another/repo/releases/1/assets{?name,label}'): + with pytest.raises(ValueError,match='destination denied'):store.upload({'id':1,'upload_url':url},cipher) + + +def test_uncertain_transient_upload_is_reconciled_without_duplicate(tmp_path,monkeypatch): + cipher=tmp_path/'cipher.age';cipher.write_bytes(b'fixture ciphertext');sha=digest(cipher);posts=[];sleeps=[] + def server(request): + if request.method=='POST': + posts.append(request);return httpx.Response(503) + if request.url.path.endswith('/assets'): + return httpx.Response(200,json=[] if not posts else [{'id':7,'name':sha+'.age','size':cipher.stat().st_size}]) + return httpx.Response(200,content=cipher.read_bytes()) + monkeypatch.setattr('vrag.backup.github.time.sleep',sleeps.append) + store=GitHubStore('test/private',token='test-token',client=httpx.Client(transport=httpx.MockTransport(server))) + ref=store.upload({'id':1,'upload_url':'https://uploads.github.com/repos/test/private/releases/1/assets{?name,label}'},cipher) + assert ref['id']==7 and len(posts)==1 and sleeps==[1] + + +@pytest.mark.asyncio +async def test_service_does_not_repeat_failed_authentication(monkeypatch,tmp_path): + import asyncio + from vrag.backup import service + from vrag.backup.github import GitHubPermanentError + state=tmp_path/'state';state.mkdir();data=tmp_path/'data';data.mkdir() + monkeypatch.setenv('VM_BACKUP_ENABLED','true');monkeypatch.setenv('VM_STATE_DIR',str(state)) + monkeypatch.setattr(service,'roots',lambda:(tmp_path,data,state)) + attempts=[] + class Engine: + def capture(self,*args):pass + def backup(self,*args): + attempts.append(1);raise GitHubPermanentError(401,'uploads.github.com','TEST:AUTH') + monkeypatch.setattr(service,'engine',Engine) + queue=service.BackupQueue();task=asyncio.create_task(queue.run()) + try: + for _ in range(100): + if service.health().get('failure_code')=='github_authentication_failed':break + await asyncio.sleep(.01) + assert service.health()['failure_code']=='github_authentication_failed' and len(attempts)==1 + finally:task.cancel();await asyncio.gather(task,return_exceptions=True) + + +def test_private_staging_boundary_probe_requires_privacy_and_separate_token(monkeypatch): + from scripts.qualify_private_space import qualify + requested=[] + def server(request): + requested.append(request) + if request.url.host=='huggingface.co':return httpx.Response(200,json={'private':True,'runtime':{'stage':'RUNNING'}}) + token=request.headers.get('x-vm-backup-token') + if token=='s'*32:return httpx.Response(200,json={'configured':True}) + return httpx.Response(401) + client=httpx.Client(transport=httpx.MockTransport(server)) + result=qualify(client,'test/app-staging','https://test-app-staging.hf.space','hf-test','s'*32) + assert result['private_boundary_verified'] and not result['sleep_wake_verified'] + assert result['anonymous_status']==401 and result['wrong_trigger_status']==401 + count=len(requested) + with pytest.raises(ValueError,match='staging'):qualify(client,'Leon4gr45/openweb','https://leon4gr45-openweb.hf.space','hf-test','s'*32) + assert len(requested)==count + public=httpx.Client(transport=httpx.MockTransport(lambda _:httpx.Response(200,json={'private':False}))) + with pytest.raises(ValueError,match='not private'):qualify(public,'test/app-staging','https://test-app-staging.hf.space','hf-test','s'*32) diff --git a/tests/test_laya_contract.py b/tests/test_laya_contract.py new file mode 100644 index 0000000000000000000000000000000000000000..4e665bba0ae28a04f4bcf7b0901cf9bf9bfc196e --- /dev/null +++ b/tests/test_laya_contract.py @@ -0,0 +1,53 @@ +"""Source and captured-live Laya wire formats, replayed via mock HTTP only.""" +import json +from pathlib import Path + +import httpx +import pytest +from config.schema import Provider, parse_yaml +from vrag.providers import Adapter, ProviderFailure + +@pytest.fixture +def laya(monkeypatch): + monkeypatch.setenv('LAYA_URL','https://laya.example') + monkeypatch.setenv('VM_ALLOWED_HOSTS','laya.example') + monkeypatch.setattr('socket.getaddrinfo',lambda *a,**k:[(2,1,6,'',('8.8.8.8',443))]) + return Provider(adapter='laya-vision',base_url_env='LAYA_URL',model='thaitea/laya-vision',capabilities=['visual_decision','image_understanding'],trust='approved_sensitive') + +@pytest.mark.asyncio +@pytest.mark.parametrize('shape',['source','live']) +async def test_documented_and_observed_response_shapes(laya,shape): + response=json.loads((Path(__file__).parent/'fixtures/laya-live-synthetic.json').read_text()) + if shape=='source':response['results']=response['results']['answers'] + def reply(request): + assert request.url.path=='/v1/system-one' + body=json.loads(request.content) + assert body['imageBase64']=='eA==' + assert 'image' not in body and isinstance(body['state'],dict) + assert set(body['questions'])=={'visual_signal'} + return httpx.Response(200,json=response) + out=await Adapter(httpx.MockTransport(reply)).call('laya',laya,{'image':'data:image/jpeg;base64,eA=='}) + assert not out.detections and not out.text and out.decisions[0].action=='visual_assessment' + +@pytest.mark.asyncio +@pytest.mark.parametrize('bad',['placeholder','text_backend','wrong_model','missing_answer','non_probability','wrong_type']) +async def test_rejects_invalid_or_placeholder_predictions(laya,bad): + response={'backend':'laya-vision','model':'thaitea/laya-vision','results':{'visual_signal':{'type':'noul','noul':.5}}} + if bad=='placeholder':response['results']['model']='laya-vision-placeholder' + if bad=='text_backend':response['backend']='laya' + if bad=='wrong_model':response['model']='other-model' + if bad=='missing_answer':response['results']={} + if bad=='non_probability':response['results']['visual_signal']['noul']=2 + if bad=='wrong_type':response['results']['visual_signal']['type']='choice' + a=Adapter(httpx.MockTransport(lambda r:httpx.Response(200,json=response))) + with pytest.raises(ProviderFailure,match='invalid_output'): + await a.call('laya',laya,{'image':'data:image/jpeg;base64,eA=='}) + +def test_all_shipped_profiles_are_schema_valid(): + for path in (Path(__file__).parent.parent/'config/examples').glob('*.yaml'): + parse_yaml(path.read_text()) + +def test_image_and_detection_capability_declarations_are_consistent(): + for adapter,capabilities in [('laya-vision',['image_understanding']),('detection-http',['object_tracking'])]: + with pytest.raises(ValueError): + Provider(adapter=adapter,base_url_env='URL',model='x',capabilities=capabilities) diff --git a/tests/test_live.py b/tests/test_live.py new file mode 100644 index 0000000000000000000000000000000000000000..eeb97f52d2c4bd68b9e5536510172d202a178664 --- /dev/null +++ b/tests/test_live.py @@ -0,0 +1,122 @@ +import base64 +import io +import pytest +from fastapi.testclient import TestClient +from PIL import Image +from vrag.api import app +from vrag.providers import Output, Decision, Detection +from vrag.mentor_api import sessions +from config.schema import parse_yaml +from vrag.settings import store + +@pytest.fixture +def client(monkeypatch): + monkeypatch.setenv('VM_USER_TOKEN','u'*32) + monkeypatch.setenv('VM_ADMIN_TOKEN','a'*32) + sessions.clear() + old=store.history,store.version + store.history=[parse_yaml('''providers: + vlm: {adapter: openai-chat-vision, base_url_env: URL, model: x, capabilities: [image_understanding], trust: approved_sensitive} +features: + live.camera1.scene: {providers: [vlm]} +''')];store.version=1 + async def mock(*args,**kwargs): + return Output(decisions=[Decision(reason='safe observation',source='vlm')]) + monkeypatch.setattr('vrag.routing.adapter.call',mock) + with TestClient(app,headers={'Authorization':'Bearer '+'u'*32}) as c: + yield c + store.history,store.version=old + sessions.clear() + +def frame(): + f=io.BytesIO();Image.new('RGB',(640,480)).save(f,format='JPEG') + return {'camera_id':'camera1','frame_id':1,'captured_at':1234,'image':'data:image/jpeg;base64,'+base64.b64encode(f.getvalue()).decode(),'feature':'live.camera1.scene','config_version':1,'request_id':'request'} + +def test_lifecycle_correlation_and_no_media_storage(client): + sid=client.post('/api/live/sessions',json={'consent':True}).json()['session_id'] + r=client.post(f'/api/live/sessions/{sid}/frames',json=frame()) + assert r.status_code==200,r.text + out=r.json() + assert out['frame_id']==1 and out['camera_id']=='camera1' and out['source_width']==640 + assert out['detections']==[] + assert 'image' not in str(sessions[sid].events) + assert client.post(f'/api/live/sessions/{sid}/frames',json=frame()).status_code==409 + assert client.delete(f'/api/live/sessions/{sid}').status_code==200 + assert client.get(f'/api/live/sessions/{sid}/events').status_code==404 + +def test_consent_version_ownership_and_limits(client,monkeypatch): + assert client.post('/api/live/sessions',json={'consent':False}).status_code==400 + sid=client.post('/api/live/sessions',json={'consent':True}).json()['session_id'] + assert client.post(f'/api/live/sessions/{sid}/frames',json={**frame(),'config_version':2}).status_code==409 + assert client.post(f'/api/live/sessions/{sid}/frames',json={**frame(),'feature':'live.camera2.scene'}).status_code==422 + sessions[sid].owner='different principal' + assert client.get(f'/api/live/sessions/{sid}/events').status_code==404 + assert client.post('/api/config/apply',json={'yaml':'{}'}).status_code==401 + assert client.post('/api/live/sessions',content=b'x'*3200000).status_code==413 + +def test_origin_and_image_validation(client): + assert client.post('/api/live/sessions',json={'consent':True},headers={'Origin':'https://evil.example'}).status_code==403 + sid=client.post('/api/live/sessions',json={'consent':True}).json()['session_id'] + assert client.post(f'/api/live/sessions/{sid}/frames',json={**frame(),'image':'not-an-image'}).status_code==422 + +def test_box_coordinates(): + with pytest.raises(ValueError): + Detection(detection_id='x',label='hand',bbox_xyxy=[0.8,0,0.1,1],confidence=1,source='detector') + with pytest.raises(ValueError): + Detection(detection_id='x',label='hand',bbox_xyxy=[0,0,2,1],confidence=1,source='detector') + +def test_advisory_task_state_is_owned_and_bounded(client): + sid=client.post('/api/live/sessions',json={'consent':True}).json()['session_id'] + r=client.put(f'/api/live/sessions/{sid}/task',json={'goal':'Assemble fixture','step':'Inspect alignment','completed':False}) + assert r.status_code==200 and r.json()['autonomous'] is False + assert sessions[sid].task['goal']=='Assemble fixture' + assert client.put(f'/api/live/sessions/{sid}/task',json={'goal':'x'*1001,'step':'x'}).status_code==422 + +def test_expired_session_data_is_reaped(client): + import time + sid=client.post('/api/live/sessions',json={'consent':True}).json()['session_id'] + sessions[sid].last_transcript='ephemeral speech' + sessions[sid].expiry=time.monotonic()-1 + assert client.get(f'/api/live/sessions/{sid}/events').status_code==404 + assert sid not in sessions + +def test_explicit_origins_cannot_be_bypassed_with_forwarded_host(client,monkeypatch): + monkeypatch.setenv('VM_ALLOWED_ORIGINS','https://private-app.hf.space') + assert client.post('/api/live/sessions',json={'consent':True},headers={'Origin':'https://other.example','X-Forwarded-Host':'other.example'}).status_code==403 + assert client.post('/api/live/sessions',json={'consent':True},headers={'Origin':'https://private-app.hf.space'}).status_code==200 + +def test_camera_backpressure_and_frame_snapshot(client): + sid=client.post('/api/live/sessions',json={'consent':True}).json()['session_id'] + sessions[sid].busy.add('camera1') + assert client.post(f'/api/live/sessions/{sid}/frames',json=frame()).status_code==429 + sessions[sid].busy.clear() + r=client.post(f'/api/live/sessions/{sid}/frames',json=frame()) + assert r.status_code==200 and r.json()['config_version']==1 + assert client.post(f'/api/live/sessions/{sid}/frames',json={**frame(),'frame_id':2}).status_code==429 + +def test_request_errors_do_not_echo_private_input(client): + marker='private-value-do-not-echo' + r=client.post('/api/live/sessions',json={'consent':marker,marker:marker}) + assert r.status_code==422 and marker not in r.text + assert all('input' not in error for error in r.json()['detail']) + +def test_nonfinite_capture_timestamp_is_safe_validation_error(client): + import json + sid=client.post('/api/live/sessions',json={'consent':True}).json()['session_id'] + body={**frame(),'captured_at':float('nan')} + r=client.post(f'/api/live/sessions/{sid}/frames',content=json.dumps(body),headers={'Content-Type':'application/json'}) + assert r.status_code==422 and 'NaN' not in r.text and body['image'] not in r.text + +def test_session_override_is_local_and_validates_capabilities(client): + from vrag.settings import store + sid=client.post('/api/live/sessions',json={'consent':True}).json()['session_id'] + old=store.history[-1].features['live.camera1.scene'].strategy + r=client.put(f'/api/live/sessions/{sid}/routing',json={'config_version':1,'feature':'live.camera1.scene','route':{'strategy':'fallback','providers':['vlm']}}) + assert r.status_code==200,r.text + assert r.json()['persisted'] is False + assert store.history[-1].features['live.camera1.scene'].strategy==old + r=client.put(f'/api/live/sessions/{sid}/routing',json={'config_version':1,'feature':'live.camera1.scene','route':{'providers':['unknown']}}) + assert r.status_code==422 + assert client.post(f'/api/live/sessions/{sid}/frames',json=frame()).status_code==200 + other=client.post('/api/live/sessions',json={'consent':True}).json()['session_id'] + assert sessions[other].overrides=={} diff --git a/tests/test_providers.py b/tests/test_providers.py new file mode 100644 index 0000000000000000000000000000000000000000..f67220df9b75268953551d5d47ae1e31327c977f --- /dev/null +++ b/tests/test_providers.py @@ -0,0 +1,99 @@ +import httpx +import pytest +from config.schema import Provider +from vrag.providers import Adapter, ProviderFailure + +@pytest.fixture +def remote(monkeypatch): + monkeypatch.setenv('TEST_URL', 'https://inference.example/v1') + monkeypatch.setenv('VM_ALLOWED_HOSTS', 'inference.example') + monkeypatch.setattr('socket.getaddrinfo', lambda *a, **k: [(2, 1, 6, '', ('8.8.8.8', 443))]) + +def provider(adapter='openai-chat-vision', caps=None): + return Provider(adapter=adapter, base_url_env='TEST_URL', model='test', capabilities=caps or ['image_understanding'], trust='approved_sensitive') + +@pytest.mark.asyncio +async def test_chat_never_invents_boxes(remote): + async def mock(req): + assert req.url.path == '/v1/chat/completions' + return httpx.Response(200, json={'choices': [{'message': {'content': 'a hand at [0,0,1,1]'}}]}) + out = await Adapter(httpx.MockTransport(mock)).call('vlm', provider(), {'image': 'data:image/jpeg;base64,eA=='}) + assert out.detections == [] + assert out.decisions[0].source == 'vlm' + +@pytest.mark.asyncio +async def test_embeddings(remote): + out = await Adapter(httpx.MockTransport(lambda r: httpx.Response(200, json={'data': [{'embedding': [1,2,3]}]}))).call('emb', provider('openai-embeddings', ['text_embeddings']), {'text': 'hello'}) + assert out.embedding == [1,2,3] + +@pytest.mark.asyncio +async def test_destination_denied(remote, monkeypatch): + monkeypatch.setenv('TEST_URL', 'http://169.254.169.254') + with pytest.raises(ProviderFailure, match='destination_denied'): + await Adapter().call('x', provider(), {}) + +@pytest.mark.asyncio +async def test_no_secret_in_errors(remote): + with pytest.raises(ProviderFailure, match='provider_error'): + await Adapter(httpx.MockTransport(lambda r: httpx.Response(401, text='secret'))).call('x', provider(), {}) + +@pytest.mark.asyncio +async def test_remote_whisper_multipart(remote): + def mock(req): + assert req.url.path == '/v1/audio/transcriptions' + assert b'name="file"' in req.content and b'speech.webm' in req.content + return httpx.Response(200,json={'text':'hello'}) + out=await Adapter(httpx.MockTransport(mock)).call('stt',provider('openai-transcription',['transcription']),{'audio':b'webm'}) + assert out.text=='hello' + +@pytest.mark.asyncio +async def test_detector_provenance_and_frame_validation(remote): + payload={'image':'x','frame_id':1,'camera_id':'camera2','width':640,'height':480} + data={'frame_id':1,'camera_id':'camera2','width':640,'height':480,'detections':[{'label':'hand','bbox_xyxy':[.1,.2,.4,.6],'confidence':.9}]} + a=Adapter(httpx.MockTransport(lambda r:httpx.Response(200,json=data))) + p=provider('detection-http',['object_detection','bounding_boxes']) + out=await a.call('detector',p,payload) + assert out.detections[0].source=='detector' and out.detections[0].object_id is None + data['frame_id']=2 + with pytest.raises(ProviderFailure,match='invalid_output'): + await a.call('detector',p,payload) + +@pytest.mark.asyncio +async def test_private_ip_and_redirect_are_denied(remote,monkeypatch): + monkeypatch.setattr('socket.getaddrinfo',lambda *a,**k:[(2,1,6,'',('127.0.0.1',443))]) + with pytest.raises(ProviderFailure,match='destination_denied'): + await Adapter().call('x',provider(),{}) + monkeypatch.setattr('socket.getaddrinfo',lambda *a,**k:[(2,1,6,'',('8.8.8.8',443))]) + calls=[] + def mock(req): + calls.append(req.url) + return httpx.Response(302,headers={'location':'https://evil.example'}) + with pytest.raises(ProviderFailure): + await Adapter(httpx.MockTransport(mock)).call('x',provider(),{}) + assert len(calls)==1 + +@pytest.mark.asyncio +async def test_timeout_circuit_breaker_and_concurrency(remote): + import asyncio + p=provider().model_copy(update={'timeout_ms':100,'concurrency':1}) + async def slow(req): + await asyncio.sleep(1) + return httpx.Response(200,json={}) + a=Adapter(httpx.MockTransport(slow)) + first=asyncio.create_task(a.call('slow',p,{})) + await asyncio.sleep(.01) + with pytest.raises(ProviderFailure,match='busy'): + await a.call('slow',p,{}) + with pytest.raises(ProviderFailure,match='timeout'): + await first + for _ in range(2): + with pytest.raises(ProviderFailure,match='timeout'): + await a.call('slow',p,{}) + with pytest.raises(ProviderFailure,match='circuit_open'): + await a.call('slow',p,{}) + +@pytest.mark.asyncio +async def test_sensitive_destination_checked_on_each_call(remote): + p=provider().model_copy(update={'trust':'public_only'}) + with pytest.raises(ProviderFailure,match='destination_denied'): + await Adapter().call('public',p,{'image':'sensitive'}) diff --git a/tests/test_rag.py b/tests/test_rag.py new file mode 100644 index 0000000000000000000000000000000000000000..88c24ba854f2c2012d302d8dc217de4b64aa41d2 --- /dev/null +++ b/tests/test_rag.py @@ -0,0 +1,87 @@ +import asyncio +import json +import numpy as np +import pytest +from fastapi.testclient import TestClient +from config.schema import Configuration, Provider, Route +from vrag.api import app +from vrag.index import get_index +from vrag.providers import Output, ProviderFailure +from vrag.remote import space_id, query, build_messages +from vrag.settings import store + +@pytest.fixture +def corpus(tmp_path,monkeypatch): + monkeypatch.setattr('vrag.remote.DATA',tmp_path) + index=tmp_path/'index';index.mkdir();videos=tmp_path/'videos';videos.mkdir() + video=videos/'v1';video.mkdir();(video/'segments').mkdir() + seg={'id':'v1_000','video_id':'v1','title':'Demo','idx':0,'start':1,'end':3,'text':'a hand'} + (index/'segments.json').write_text(json.dumps([seg]));np.save(index/'text.npy',np.array([[1.,0.,0.]],dtype='float32')) + (video/'meta.json').write_text(json.dumps({'id':'v1','title':'Demo','duration':10})) + (video/'segments.json').write_text(json.dumps([seg])) + from PIL import Image + Image.new('RGB',(20,20)).save(video/'segments/000.jpg') + monkeypatch.setenv('URL','https://example.com/v1');monkeypatch.setenv('VM_USER_TOKEN','u'*32) + p=Provider(adapter='openai-embeddings',base_url_env='URL',model='embedding',capabilities=['text_embeddings'],trust='approved_sensitive') + vlm=Provider(adapter='openai-chat-vision',base_url_env='URL',model='vision',capabilities=['image_understanding','reasoning'],trust='approved_sensitive') + old=store.history,store.version + store.history=[Configuration(providers={'emb':p,'vlm':vlm},features={'rag.text_embeddings':Route(providers=['emb']),'rag.reasoning':Route(providers=['vlm'])})];store.version=1 + (index/'manifest.json').write_text(json.dumps({'embedding_space':space_id(p),'dimension':3})) + for mod in ['vrag.index','vrag.api','vrag.remote']: + monkeypatch.setattr(mod+'.INDEX_DIR',index) + for mod in ['vrag.api','vrag.remote']: + monkeypatch.setattr(mod+'.VIDEOS_DIR',videos) + get_index.cache_clear() + async def call(name,p,payload,sensitive): + if name=='emb':return Output(embedding=[1,0,0]) + assert all(not im.startswith('file:') for im in payload.get('images',[])) + return Output(text='A hand is visible [1].') + monkeypatch.setattr('vrag.routing.adapter.call',call) + yield seg,index + store.history,store.version=old;get_index.cache_clear() + +def test_library_search_ask_regression(corpus): + with TestClient(app,headers={'Authorization':'Bearer '+'u'*32}) as c: + assert len(c.get('/api/videos').json())==1 + assert c.get('/api/videos/v1').json()['segments'][0]['start']==1 + r=c.get('/api/search?q=hand&view=text&dim=3') + assert r.status_code==200,r.text + assert r.json()['hits'][0]['id']=='v1_000' + r=c.post('/api/ask',json={'question':'what is shown?','view':'text','dim':3}) + assert r.status_code==200,r.text + assert '[1]' in r.json()['answer'] and r.json()['clips'][0]['start']==1 + assert c.get('/api/search?q=x&view=text&dim=128').status_code==400 + +@pytest.mark.asyncio +async def test_incompatible_model_and_endpoint_requires_reembedding(corpus,monkeypatch): + monkeypatch.setenv('URL','https://different.example/v1') + with pytest.raises(ProviderFailure,match='index_incompatible'): + await query('hi') + +def test_bounded_frame_fallback(corpus): + payload=build_messages('question',[corpus[0]],True,False) + assert payload['images'][0].startswith('data:image/jpeg;base64,') + assert '[1]' in payload['text'] and '1-3 seconds' in payload['text'] + with pytest.raises(ProviderFailure):build_messages('q',[corpus[0]],False,True) + +def test_media_range(tmp_path): + # Same Starlette handler used by production media mounting. + from fastapi import FastAPI + from fastapi.staticfiles import StaticFiles + (tmp_path/'clip.mp4').write_bytes(b'0123456789') + a=FastAPI();a.mount('/media',StaticFiles(directory=tmp_path)) + with TestClient(a) as c: + r=c.get('/media/clip.mp4',headers={'Range':'bytes=2-5'}) + assert r.status_code==206 and r.content==b'2345' + +def test_corrupt_vector_manifest_is_rejected(corpus): + _,index=corpus + np.save(index/'text.npy',np.array([[float('nan'),0,1]],dtype='float32')) + get_index.cache_clear() + with pytest.raises(ProviderFailure,match='index_invalid'):get_index() + +def test_vector_rows_must_match_segment_manifest(corpus): + _,index=corpus + np.save(index/'text.npy',np.array([[1,0,0],[0,1,0]],dtype='float32')) + get_index.cache_clear() + with pytest.raises(ProviderFailure,match='index_invalid'):get_index() diff --git a/tests/test_release_security.py b/tests/test_release_security.py new file mode 100644 index 0000000000000000000000000000000000000000..4a71b2f89f5caa9e5fb110c1025659619c92eaa2 --- /dev/null +++ b/tests/test_release_security.py @@ -0,0 +1,182 @@ +"""Release regression checks; every network transport here is mocked.""" +import asyncio +import json + +import httpx +import pytest + +from config.schema import Configuration, Provider, Route, parse_yaml +from vrag.egress import PublicAddressTransport +from vrag.providers import Adapter, ProviderFailure +from vrag.routing import route + +@pytest.fixture +def network(monkeypatch): + monkeypatch.setenv('URL', 'https://models.example/v1') + monkeypatch.setenv('VM_ALLOWED_HOSTS', 'models.example') + monkeypatch.setattr('socket.getaddrinfo', lambda *a, **k: [(2,1,6,'',('8.8.8.8',443))]) + +def provider(adapter='openai-chat-vision', caps=None): + return Provider(adapter=adapter, base_url_env='URL', model='test', capabilities=['image_understanding'] if caps is None else caps, trust='approved_sensitive') + +@pytest.mark.asyncio +async def test_direct_transport_pins_validated_ip_and_preserves_tls_hostname(network): + seen=[] + def reply(request): + seen.append(request) + assert request.url.host=='8.8.8.8' + assert request.headers['host']=='models.example' + assert request.extensions['sni_hostname']=='models.example' + return httpx.Response(200,json={'ok':True}) + async with httpx.AsyncClient(transport=PublicAddressTransport(httpx.MockTransport(reply))) as client: + assert (await client.get('https://models.example/v1/info')).status_code==200 + assert len(seen)==1 + +@pytest.mark.asyncio +async def test_rebound_private_address_is_never_connected(network, monkeypatch): + monkeypatch.setattr('socket.getaddrinfo', lambda *a,**k:[(2,1,6,'',('127.0.0.1',443))]) + def should_not_connect(request): + pytest.fail('private destination reached the transport') + async with httpx.AsyncClient(transport=PublicAddressTransport(httpx.MockTransport(should_not_connect))) as client: + with pytest.raises(httpx.ConnectError,match='denied'): + await client.get('https://models.example/v1/info') + +@pytest.mark.asyncio +@pytest.mark.parametrize('url',['https://[broken','https://models.example:bad/v1','https://models.example:8443','https://user:password@models.example','http://models.example']) +async def test_malformed_or_disallowed_url_is_safe_failure(network,monkeypatch,url): + monkeypatch.setenv('URL',url) + with pytest.raises(ProviderFailure,match='destination_denied'): + await Adapter().call('vlm',provider(),{}) + +@pytest.mark.asyncio +@pytest.mark.parametrize('detections',[[None],None,{},[{'label':'hand','bbox_xyxy':[0,0,2,1],'confidence':1}]]) +async def test_parallel_malformed_detector_is_independent(network,monkeypatch,detections): + def reply(request): + if request.url.path.endswith('/detect'): + return httpx.Response(200,json={'camera_id':'camera2','frame_id':7,'width':640,'height':480,'detections':detections}) + return httpx.Response(200,json={'choices':[{'message':{'content':'A person is present.'}}]}) + a=Adapter(httpx.MockTransport(reply));monkeypatch.setattr('vrag.routing.adapter',a) + config=Configuration(providers={'vision':provider(),'detector':provider('detection-http',['object_detection','bounding_boxes'])},features={ + 'live.camera2.detection':Route(strategy='parallel',providers=['vision','detector'],fusion='spatial_semantic')}) + out,status=await route(config,'live.camera2.detection',{'image':'synthetic','camera_id':'camera2','frame_id':7,'width':640,'height':480}) + assert out.decisions[0].source=='vision' and out.detections==[] + assert {s['provider']:s['status'] for s in status}=={'vision':'ok','detector':'invalid_output'} + +@pytest.mark.asyncio +async def test_parallel_spatial_semantic_fusion_preserves_provenance(network,monkeypatch): + entered=set();both=asyncio.Event() + async def reply(request): + entered.add(request.url.path) + if len(entered)==2:both.set() + await asyncio.wait_for(both.wait(),1) + if request.url.path.endswith('/detect'): + return httpx.Response(200,json={'camera_id':'camera2','frame_id':7,'width':640,'height':480,'detections':[{'label':'hand','bbox_xyxy':[.1,.2,.3,.4],'confidence':.9}]}) + return httpx.Response(200,json={'choices':[{'message':{'content':'Hand visible; inspect alignment.'}}]}) + a=Adapter(httpx.MockTransport(reply));monkeypatch.setattr('vrag.routing.adapter',a) + config=Configuration(providers={'semantic':provider(),'nvidia_gateway':provider('detection-http',['object_detection','bounding_boxes'])},features={ + 'live.camera2.detection':Route(strategy='parallel',providers=['semantic','nvidia_gateway'],fusion='spatial_semantic')}) + out,status=await route(config,'live.camera2.detection',{'image':'synthetic','camera_id':'camera2','frame_id':7,'width':640,'height':480}) + assert len(status)==2 and all(s['status']=='ok' for s in status) + assert out.detections[0].source=='nvidia_gateway' and out.detections[0].bbox_xyxy==(.1,.2,.3,.4) + assert out.detections[0].object_id is None and out.decisions[0].source=='semantic' + +@pytest.mark.asyncio +@pytest.mark.parametrize('placeholder',[False,True]) +async def test_laya_plus_detector_parallel_real_adapter_contract(network,monkeypatch,placeholder): + from pathlib import Path + monkeypatch.setenv('LAYA_URL','https://models.example') + laya=Provider(adapter='laya-vision',base_url_env='LAYA_URL',model='thaitea/laya-vision',capabilities=['image_understanding','visual_decision'],trust='approved_sensitive') + detector=provider('detection-http',['object_detection','bounding_boxes']) + fixture=json.loads((Path(__file__).parent/'fixtures/laya-live-synthetic.json').read_text()) + if placeholder:fixture['model']='laya-vision-placeholder' + called=set();both=asyncio.Event() + async def reply(request): + called.add(request.url.path) + if len(called)==2:both.set() + await asyncio.wait_for(both.wait(),1) + if request.url.path=='/v1/system-one': + body=json.loads(request.content) + assert body['imageBase64']=='eA==' and 'image' not in body + assert body['questions']['visual_signal']['type']=='noul' + return httpx.Response(200,json=fixture) + assert request.url.path=='/v1/detect' + return httpx.Response(200,json={'frame_id':7,'camera_id':'camera2','width':640,'height':480,'detections':[{'label':'hand','bbox_xyxy':[.1,.2,.3,.4],'confidence':.9}]}) + cfg=Configuration(providers={'laya':laya,'nvidia_gateway':detector},features={ + 'live.camera2.detection':Route(strategy='parallel',providers=['laya','nvidia_gateway'],fusion='spatial_semantic')}) + monkeypatch.setattr('vrag.routing.adapter',Adapter(httpx.MockTransport(reply))) + out,status=await route(cfg,'live.camera2.detection',{'image':'data:image/jpeg;base64,eA==','camera_id':'camera2','frame_id':7,'width':640,'height':480}) + assert out.detections[0].source=='nvidia_gateway' and out.detections[0].object_id is None + assert {s['provider']:s['status'] for s in status}=={'laya':'invalid_output' if placeholder else 'ok','nvidia_gateway':'ok'} + assert len(out.decisions)==(0 if placeholder else 1) + if not placeholder:assert out.decisions[0].source=='laya' and '0.3126' in out.decisions[0].reason + +@pytest.mark.asyncio +async def test_fallback_reauthorizes_sensitive_destination(network,monkeypatch): + p=provider();public=p.model_copy(update={'trust':'public_only'}) + calls=[] + def reply(request): + calls.append(request) + return httpx.Response(503) + monkeypatch.setattr('vrag.routing.adapter',Adapter(httpx.MockTransport(reply))) + cfg=Configuration(providers={'first':p,'unapproved':public},features={'live.camera1.scene':Route(strategy='fallback',providers=['first','unapproved'])}) + out,status=await route(cfg,'live.camera1.scene',{'image':'sensitive'}) + assert len(calls)==1 and status[-1]['status']=='destination_denied' and not out.decisions + +@pytest.mark.asyncio +async def test_changed_provider_does_not_inherit_old_circuit(network): + a=Adapter(httpx.MockTransport(lambda r:httpx.Response(500))) + for _ in range(3): + with pytest.raises(ProviderFailure):await a.call('vision',provider(),{}) + a.transport=httpx.MockTransport(lambda r:httpx.Response(200,json={'choices':[{'message':{'content':'ok'}}]})) + out=await a.call('vision',provider().model_copy(update={'model':'replacement'}),{}) + assert out.text=='ok' + +@pytest.mark.asyncio +@pytest.mark.parametrize('vector',[[[1,2]],[1e100,2],[],[0,0]]) +async def test_invalid_embeddings_rejected(network,vector): + a=Adapter(httpx.MockTransport(lambda r:httpx.Response(200,json={'data':[{'embedding':vector}]}))) + with pytest.raises(ProviderFailure,match='invalid_output'): + await a.call('emb',provider('openai-embeddings',['text_embeddings']),{'text':'test'}) + +def test_role_and_predicate_configuration_validation(): + with pytest.raises(ValueError): + parse_yaml('''providers: + emb: {adapter: openai-embeddings, base_url_env: URL, model: e, capabilities: [text_embeddings]} + vlm: {adapter: openai-chat-vision, base_url_env: URL, model: v, capabilities: [reasoning]} +features: + rag.text_embeddings: {strategy: fallback, providers: [emb, vlm]} +''') + with pytest.raises(ValueError): + Route(strategy='conditional',providers=['x'],conditions=[{'field':'has_detections','equals':'false','provider':'x'}]) + +@pytest.mark.asyncio +async def test_proxy_only_dns_preserves_trusted_path_and_direct_fails_closed(network,monkeypatch): + import socket + def unavailable(*args,**kwargs):raise socket.gaierror(socket.EAI_AGAIN,'local DNS unavailable') + monkeypatch.setattr('socket.getaddrinfo',unavailable) + monkeypatch.setattr('vrag.providers.proxy_for',lambda base:'http://trusted-proxy:8080') + a=Adapter(httpx.MockTransport(lambda r:httpx.Response(200,json={'choices':[{'message':{'content':'ok'}}]}))) + assert (await a.call('vision',provider(),{})).text=='ok' + monkeypatch.setattr('vrag.providers.proxy_for',lambda base:None) + with pytest.raises(ProviderFailure,match='destination_denied'):await a.call('vision',provider(),{}) + +@pytest.mark.asyncio +@pytest.mark.parametrize('failed',['laya','nvidia_gateway']) +async def test_laya_nvidia_timeout_preserves_other_typed_output(network,monkeypatch,failed): + from pathlib import Path + monkeypatch.setenv('LAYA_URL','https://models.example') + laya=Provider(adapter='laya-vision',base_url_env='LAYA_URL',model='thaitea/laya-vision',capabilities=['image_understanding','visual_decision'],trust='approved_sensitive') + detector=provider('detection-http',['object_detection','bounding_boxes']) + response=json.loads((Path(__file__).parent/'fixtures/laya-live-synthetic.json').read_text()) + async def reply(request): + is_laya=request.url.path.endswith('/system-one') + if (is_laya and failed=='laya') or (not is_laya and failed=='nvidia_gateway'): + raise httpx.ReadTimeout('synthetic timeout') + if is_laya:return httpx.Response(200,json=response) + return httpx.Response(200,json={'frame_id':7,'camera_id':'camera2','width':640,'height':480,'detections':[{'label':'hand','bbox_xyxy':[.1,.2,.3,.4],'confidence':.9}]}) + cfg=Configuration(providers={'laya':laya,'nvidia_gateway':detector},features={'live.camera2.detection':Route(strategy='parallel',providers=['laya','nvidia_gateway'],fusion='spatial_semantic')}) + monkeypatch.setattr('vrag.routing.adapter',Adapter(httpx.MockTransport(reply))) + out,status=await route(cfg,'live.camera2.detection',{'image':'data:image/jpeg;base64,eA==','camera_id':'camera2','frame_id':7,'width':640,'height':480}) + assert next(s for s in status if s['provider']==failed)['status']=='timeout' + assert bool(out.detections)==(failed=='laya') + assert bool(out.decisions)==(failed=='nvidia_gateway') diff --git a/tests/test_routing.py b/tests/test_routing.py new file mode 100644 index 0000000000000000000000000000000000000000..8dd8552c0a8c1093302ea2b15b824e5c8925ee32 --- /dev/null +++ b/tests/test_routing.py @@ -0,0 +1,69 @@ +import asyncio +import pytest +from config.schema import Configuration, Provider, Route, Condition +from vrag.providers import Output, Decision, ProviderFailure +from vrag.routing import route + +def cfg(strategy, **kwargs): + p=Provider(adapter='openai-chat-vision',base_url_env='URL',model='model',capabilities=['image_understanding'],trust='approved_sensitive') + return Configuration(providers={'a':p,'b':p},features={'live.camera1.scene':Route(strategy=strategy,providers=['a'] if strategy=='single' else ['a','b'],**kwargs)}) + +@pytest.mark.asyncio +@pytest.mark.parametrize('strategy',['single','fallback','parallel','sequential','conditional']) +async def test_strategies(monkeypatch,strategy): + calls=[] + async def call(name,p,payload,sensitive): + calls.append((name,payload.copy())) + return Output(decisions=[Decision(source=name,reason='seen')]) + monkeypatch.setattr('vrag.routing.adapter.call',call) + options={'conditions':[Condition(field='camera_id',equals='camera1',provider='b')]} if strategy=='conditional' else {} + out,status=await route(cfg(strategy,**options),'live.camera1.scene',{'camera_id':'camera1'}) + assert out.decisions + assert all(s['status']=='ok' for s in status) + if strategy=='sequential':assert 'previous' in calls[1][1] + if strategy=='conditional':assert calls[0][0]=='b' + if strategy=='fallback':assert len(calls)==1 + +@pytest.mark.asyncio +async def test_fallback_does_not_ignore_destination_denial(monkeypatch): + calls=[] + async def call(name,*args): + calls.append(name) + raise ProviderFailure('destination_denied') + monkeypatch.setattr('vrag.routing.adapter.call',call) + out,status=await route(cfg('fallback'),'live.camera1.scene',{}) + assert calls==['a'] and not out.decisions + +@pytest.mark.asyncio +async def test_eligible_fallback_and_independent_parallel_error(monkeypatch): + async def call(name,*args): + if name=='a':raise ProviderFailure('timeout') + return Output(text='success') + monkeypatch.setattr('vrag.routing.adapter.call',call) + for strategy in ['fallback','parallel']: + out,status=await route(cfg(strategy),'live.camera1.scene',{}) + assert out.text=='success' and status[0]['status']=='timeout' + +@pytest.mark.asyncio +async def test_first_valid_cancels_slow_calls(monkeypatch): + cancelled=[] + async def call(name,*args): + if name=='a': + await asyncio.sleep(0.01) + return Output(text='success') + try:await asyncio.sleep(10) + except asyncio.CancelledError: + cancelled.append(name);raise + monkeypatch.setattr('vrag.routing.adapter.call',call) + out,status=await route(cfg('parallel',result_policy='first_valid'),'live.camera1.scene',{}) + assert out.text=='success' and cancelled==['b'] + assert status[-1]['status']=='cancelled' + +@pytest.mark.asyncio +async def test_quorum_failure_is_explicit(monkeypatch): + async def call(name,*args): + if name=='b':raise ProviderFailure('provider_error') + return Output(text='one result') + monkeypatch.setattr('vrag.routing.adapter.call',call) + out,status=await route(cfg('parallel',result_policy='quorum',quorum=2),'live.camera1.scene',{}) + assert not out.text and len(status)==2 and out.warnings==['quorum_not_met'] diff --git a/tests/test_runtime.py b/tests/test_runtime.py new file mode 100644 index 0000000000000000000000000000000000000000..8c9e50aa33a251b4bbb253a67e2be9429d34b751 --- /dev/null +++ b/tests/test_runtime.py @@ -0,0 +1,25 @@ +import sys +from fastapi.testclient import TestClient +from vrag.api import app + +def test_cpu_library(): + with TestClient(app) as c: + assert c.get('/api/videos').status_code == 401 + assert len(c.get('/api/demo/videos').json()) == 3 + assert c.get('/api/stats').status_code == 401 + assert c.get('/api/demo/stats').json()['views'] == ['text'] + assert c.get('/api/search?q=test').status_code == 401 + assert c.get('/api/experiments').status_code == 401 + assert not {'torch', 'transformers', 'sentence_transformers', 'vllm'} & sys.modules.keys() + +def test_health_and_schema(): + with TestClient(app) as c: + health = c.get('/api/health').json() + assert health['inference'] == 'remote-only' + schema = c.get('/openapi.json').json() + assert '/api/live/sessions/{sid}/frames' in schema['paths'] + +def test_config_is_not_public(): + with TestClient(app) as c: + assert c.get('/api/config').status_code == 401 + assert c.post('/api/live/sessions', json={'consent':True}).status_code == 401 diff --git a/tests/test_v2_backup.py b/tests/test_v2_backup.py new file mode 100644 index 0000000000000000000000000000000000000000..28f7a93e12a4306beb273e6a6c48cda9f9d9036a --- /dev/null +++ b/tests/test_v2_backup.py @@ -0,0 +1,106 @@ +import json +import os +from pathlib import Path +import shutil +import sqlite3 +import subprocess +import threading +import time +import pytest +from vrag.backup import snapshot,restore,digest,db_snapshot,retention_keep,stale_status + +@pytest.fixture +def source(tmp_path,monkeypatch): + age=os.environ.get('AGE_BIN') or shutil.which('age') + if not age:pytest.skip('Install age to run real encrypted restore tests') + monkeypatch.setenv('AGE_BIN',age) + keygen=str(Path(age).with_name('age-keygen')) + key=tmp_path/'identity';r=subprocess.run([keygen,'-o',str(key)],capture_output=True,check=True) + recipient=subprocess.run([keygen,'-y',str(key)],capture_output=True,text=True,check=True).stdout.strip() + source=tmp_path/'source';data=source/'data';state=source/'state';assets=tmp_path/'object-store' + state.mkdir(parents=True);(data/'videos/v1').mkdir(parents=True);(assets/'videos/v1').mkdir(parents=True) + (source/'source-snapshot.json').write_text(json.dumps({'snapshot_id':'test-immutable-v1'})) + (state/'config-history.json').write_text('[{"version":1}]') + (state/'.env').write_text('NEVER_INCLUDE_THIS') + (data/'videos/v1/meta.json').write_text('{"id":"v1","title":"Workshop"}') + (data/'videos/v1/video.mp4').write_bytes(b'original private video') + (assets/'videos/v1/video.mp4').write_bytes(b'original private video') + (data/'live').mkdir();(data/'live/raw-camera.jpg').write_bytes(b'NEVER_INCLUDE_THIS') + with sqlite3.connect(data/'jobs.sqlite') as db:db.execute('CREATE TABLE test (n INTEGER)');db.execute('INSERT INTO test VALUES (7)') + output=tmp_path/'snapshots/one.age' + args=dict(data_root=data,state_root=state,assets_root=assets,output=output,recipient=recipient,source_snapshot_id='test-immutable-v1') + return args,key + +def test_actual_age_roundtrip_and_secret_exclusion(source,tmp_path): + args,key=source;report=snapshot(**args) + assert report['coverage_verified'] and report['asset_count']==1 + raw=args['output'].read_bytes();assert raw.startswith(b'age-encryption.org/') + assert b'Workshop' not in raw and b'NEVER_INCLUDE_THIS' not in raw + staging=tmp_path/'clean' + dry=restore(args['output'],key,staging,args['assets_root'],True) + assert dry['verified'] and not staging.exists() + result=restore(args['output'],key,staging,args['assets_root']) + assert staging.stat().st_mode & 0o777 == 0o700 + assert result['verified'] and not (staging/'state/.env').exists() and not (staging/'data/live').exists() + assert (staging/'data/videos/v1/video.mp4').read_bytes()==b'original private video' + with sqlite3.connect(staging/'data/jobs.sqlite') as db:assert db.execute('SELECT n FROM test').fetchone()==(7,) + with pytest.raises(ValueError,match='destination must be new'):restore(args['output'],key,staging,args['assets_root']) + +@pytest.mark.parametrize('failure',['missing','corrupt','secret','oversize']) +def test_no_false_success(source,failure): + args,_=source + if failure=='missing':(args['assets_root']/'videos/v1/video.mp4').unlink() + if failure=='corrupt':(args['assets_root']/'videos/v1/video.mp4').write_bytes(b'wrong') + if failure=='secret':(args['data_root']/'videos/v1/meta.json').write_text('{"token":"sk-abcdefghijklmnopqrstuvwxyz"}') + if failure=='oversize':(args['data_root']/'videos/v1/meta.json').write_bytes(b'x'*(32*1024*1024+1)) + with pytest.raises(ValueError):snapshot(**args) + assert not args['output'].exists() + +def test_corruption_and_missing_asset_block_restore(source,tmp_path): + args,key=source;snapshot(**args) + (args['assets_root']/'videos/v1/video.mp4').unlink() + with pytest.raises(ValueError):restore(args['output'],key,tmp_path/'stage',args['assets_root']) + args['output'].write_bytes(args['output'].read_bytes()+b'corrupt') + with pytest.raises(ValueError,match='integrity'):restore(args['output'],key,tmp_path/'stage',args['assets_root']) + assert not (tmp_path/'stage').exists() + +def test_sqlite_backup_under_concurrent_writes(tmp_path): + path=tmp_path/'live.sqlite' + with sqlite3.connect(path) as db:db.execute('CREATE TABLE pairs (n INTEGER)');db.execute('INSERT INTO pairs VALUES (0)');db.execute('INSERT INTO pairs VALUES (0)') + stop=threading.Event() + def writes(): + with sqlite3.connect(path) as db: + n=0 + while not stop.is_set(): + n+=1 + with db:db.execute('UPDATE pairs SET n=?',(n,)) + thread=threading.Thread(target=writes);thread.start() + try: + db_snapshot(path,tmp_path/'copy.sqlite') + with sqlite3.connect(tmp_path/'copy.sqlite') as db:rows=db.execute('SELECT n FROM pairs').fetchall();assert rows[0]==rows[1] + finally:stop.set();thread.join() + +def test_late_run_and_retention_never_remove_newest_good(): + assert stale_status({})['stale'] + assert not stale_status({'last_verified_success':100},now=101)['stale'] + assert stale_status({'last_verified_success':100},now=100+15*3600)['stale'] + assert not stale_status({'last_verified_success':100},now=101)['enabled'] + rows=[{'created_at':1000,'coverage_verified':True,'ciphertext_sha256':'good'},{'created_at':2000,'coverage_verified':False,'ciphertext_sha256':'bad'}] + assert retention_keep(rows,now=100000000)=={'good'} + +def test_retention_preserves_last_restore_qualified_copy(): + rows=[{'created_at':1,'coverage_verified':True,'restore_verified':True,'ciphertext_sha256':'restored'}, {'created_at':10000000,'coverage_verified':True,'ciphertext_sha256':'latest'}] + keep=retention_keep(rows,now=10000001) + assert {'restored','latest'}<=keep + +def test_workflow_is_private_template_and_schedule_is_exact(): + import yaml + root=Path(__file__).resolve().parent.parent + source=root/'deploy/backup-repository/inactive-workflows/backup-12h.yml' + config=yaml.load(source.read_text(),Loader=yaml.BaseLoader) + assert config['on']['schedule'][0]['cron']=='17 0,12 * * *' + assert 'workflow_dispatch' in config['on'] + assert config['concurrency']['cancel-in-progress']=='false' + assert config['jobs']['checkpoint']['if']=="vars.BACKUPS_APPROVED == 'true' && vars.COORDINATOR_VALIDATED == 'true'" + assert not (root/'.github/workflows/backup-12h.yml').exists() + assert 'Verify private Space reachability and completed checkpoint' in [s.get('name') for s in config['jobs']['checkpoint']['steps']] diff --git a/tests/test_v2_jobs.py b/tests/test_v2_jobs.py new file mode 100644 index 0000000000000000000000000000000000000000..9096f81ea5e34360f3655aa79df86f3b94b71a0c --- /dev/null +++ b/tests/test_v2_jobs.py @@ -0,0 +1,120 @@ +import asyncio +import json +import shutil +import subprocess +import pytest +from fastapi.testclient import TestClient +from vrag.api import app +from vrag import jobs +from vrag.index import get_index +from vrag.providers import Output, ProviderFailure +from vrag.settings import store +from config.schema import parse_yaml + +@pytest.fixture +def setup(tmp_path,monkeypatch): + data=tmp_path/'data';videos=data/'videos';videos.mkdir(parents=True);index=data/'index' + for module in ('vrag.jobs','vrag.api','vrag.remote'): + monkeypatch.setattr(module+'.DATA',data) + monkeypatch.setattr(module+'.VIDEOS_DIR',videos) + monkeypatch.setattr(module+'.INDEX_DIR',index) + monkeypatch.setattr('vrag.index.INDEX_DIR',index) + monkeypatch.setenv('VM_USER_TOKEN','u'*32);monkeypatch.setenv('URL','https://example.com/v1') + old=store.history,store.version + store.history=[parse_yaml('''providers: + emb: {adapter: openai-embeddings, model: test, base_url_env: URL, capabilities: [text_embeddings], trust: approved_sensitive} + stt: {adapter: openai-transcription, model: whisper-test, base_url_env: URL, capabilities: [transcription], trust: approved_sensitive} +features: + rag.text_embeddings: {providers: [emb]} + audio.transcription: {providers: [stt]} +''')];store.version=1 + calls=[] + async def call(name,provider,payload,sensitive): + calls.append((name,payload,sensitive)) + if name=='emb':return Output(embedding=[1,0,0]) + assert payload['audio_mime']=='audio/mp4' and payload['audio'] + return Output(text='Clear the workbench.') + monkeypatch.setattr('vrag.routing.adapter.call',call) + get_index.cache_clear() + yield data,calls + store.history,store.version=old;get_index.cache_clear() + +@pytest.fixture +def clip(tmp_path): + if not shutil.which('ffmpeg'):pytest.skip('FFmpeg required for real CPU media test') + path=tmp_path/'clip.mp4' + subprocess.run(['ffmpeg','-hide_banner','-loglevel','error','-f','lavfi','-i','color=c=blue:s=160x120:r=5','-f','lavfi','-i','sine=frequency=440:sample_rate=16000','-t','1','-c:v','libx264','-threads','1','-c:a','aac','-y',str(path)],check=True) + return path + +@pytest.mark.asyncio +async def test_upload_to_search_pipeline_real_ffmpeg_mock_providers(setup,clip): + c=TestClient(app,headers={'Authorization':'Bearer '+'u'*32}) + r=c.post('/api/ingest?filename=Workshop',content=clip.read_bytes()) + assert r.status_code==200,r.text + first=r.json();assert c.post('/api/ingest',content=clip.read_bytes()).json()['deduplicated'] + with jobs.connect() as db:job=dict(db.execute('SELECT * FROM jobs WHERE id=?',(first['id'],)).fetchone()) + await jobs.run_job(job) + result=jobs.listing()[0];assert result['status']=='complete' + data,calls=setup + assert (data/'index/CURRENT').exists() + assert get_index().available_views==['text'] and get_index().dims==[3] + assert any(name=='stt' for name,_,_ in calls) and all(s for _,_,s in calls) + response=c.get('/api/search?q=workbench&view=text&dim=3') + assert response.status_code==200,response.text + assert response.json()['hits'][0]['start']==0 + assert 'Clear the workbench' in response.json()['hits'][0]['text'] + assert c.get('/api/jobs',headers={'Authorization':''}).status_code==401 + assert c.post('/api/ingest',headers={'Authorization':''},content=b'private').status_code==401 + +@pytest.mark.asyncio +async def test_failed_provider_preserves_prepared_media_and_retry(setup,clip,monkeypatch): + c=TestClient(app,headers={'Authorization':'Bearer '+'u'*32});r=c.post('/api/ingest',content=clip.read_bytes()).json() + async def missing(*a,**k):raise ProviderFailure('credential_missing') + monkeypatch.setattr('vrag.routing.adapter.call',missing) + task=asyncio.create_task(jobs.worker()) + try: + for _ in range(100): + if jobs.listing()[0]['status']=='blocked':break + await asyncio.sleep(.05) + assert jobs.listing()[0]['status']=='blocked' + assert jobs.listing()[0]['error']=='credential_missing' + assert (setup[0]/'videos'/r['video_id']/'video.mp4').exists() + assert not (setup[0]/'index/CURRENT').exists() + assert c.post('/api/jobs/'+r['id'],json={'action':'retry','transcript':'User supplied evidence'}).status_code==200 + assert c.post('/api/jobs/'+r['id'],json={'action':'cancel'}).status_code==200 + assert jobs.listing()[0]['status']=='cancelled' + finally: + task.cancel();await asyncio.gather(task,return_exceptions=True) + +def test_auth_and_sample_isolation(setup): + c=TestClient(app) + assert c.get('/api/videos').status_code==401 + assert c.get('/api/demo/videos').json()[0]['sample'] + assert c.get('/api/demo/videos/upload-private').status_code==404 + assert c.get('/api/demo/search?q=bench').json()['sample'] + assert c.get('/api/demo/compare?q=bench').status_code==200 + 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Run: uv run vrag api (serves on :8000). + +The Next.js dev server proxies /api/* and /media/* here (see web/next.config.ts). +""" + +import json +import asyncio +import time +from pathlib import Path +from contextlib import asynccontextmanager + +from fastapi import Depends, FastAPI, File, HTTPException, Query, UploadFile +from .mentor_api import user +from fastapi.staticfiles import StaticFiles +from pydantic import BaseModel, Field + +from . import remote as rag +from .config import DATA, DIMS, EXPERIMENTS_DIR, INDEX_DIR, VIDEOS_DIR, VIEWS +from .providers import ProviderFailure +from .index import get_index + +VIDEOS_DIR.mkdir(parents=True, exist_ok=True) +@asynccontextmanager +async def lifespan(app): + from .mentor_api import session_cleanup + cleanup = asyncio.create_task(session_cleanup()) + from .jobs import worker + jobs_task = asyncio.create_task(worker()) + from .backup.service import configured, queue + backup_task = asyncio.create_task(queue.run()) if configured() else None + try: + yield + finally: + if backup_task: + backup_task.cancel() + await asyncio.gather(backup_task, return_exceptions=True) + cleanup.cancel() + jobs_task.cancel() + await asyncio.gather(cleanup, jobs_task, return_exceptions=True) + +app = FastAPI(title="Visual Mentor", version="1.0", lifespan=lifespan) +# Starlette's StaticFiles honours Range requests, so the browser can seek the mp4s. +app.mount("/media", StaticFiles(directory=VIDEOS_DIR), name="media") + + +def _video_meta(vdir: Path) -> dict: + meta = json.loads((vdir / "meta.json").read_text()) + segs_path = vdir / "segments.json" + meta["num_segments"] = len(json.loads(segs_path.read_text())) if segs_path.exists() else 0 + meta["thumb"] = f"/media/{vdir.name}/thumb.jpg" + meta["video"] = f"/media/{vdir.name}/video.mp4" + return meta + + +def _hit(h: dict) -> dict: + return {**h, "frame": f"/media/{h['video_id']}/segments/{h['idx']:03d}.jpg"} + + +@app.get("/api/stats") +def stats(owner=Depends(user)) -> dict: + manifest_path=get_index().path/'manifest.json' + manifest = json.loads(manifest_path.read_text()) if manifest_path.exists() else {} + idx = get_index() + views_built = manifest.pop("views", {}) + return { + **manifest, + "views_built": views_built, + "limitations": "Remote text embeddings support text only. Image/video/audio/fused search needs a verified compatible multimodal adapter and index. Legacy indexes require explicit re-embedding.", + "dims": idx.dims, + "views": idx.available_views, + "view_descriptions": {**VIEWS, "hybrid": "Reciprocal rank fusion of text + video + audio rankings"}, + "storage": [{"dim": d, "bytes_per_view": idx.storage_bytes(d)} for d in idx.dims], + "total_duration_s": sum(json.loads((VIDEOS_DIR / vid / "meta.json").read_text())["duration"] + for vid in {s["video_id"] for s in idx.segments}), + } + + +@app.get("/api/videos") +def videos(owner=Depends(user)) -> list[dict]: + vids = [_video_meta(v) for v in VIDEOS_DIR.iterdir() if (v / "meta.json").exists()] + return sorted(vids, key=lambda m: (m.get("channel_position") is None, m.get("channel_position") or 0, m["title"])) + + +@app.get("/api/videos/{video_id}") +def video(video_id: str, owner=Depends(user)) -> dict: + if not video_id.replace("-", "").replace("_", "").isalnum(): + raise HTTPException(400, "invalid video ID") + vdir = VIDEOS_DIR / video_id + if not (vdir / "meta.json").exists(): + raise HTTPException(404, "unknown video") + segs = json.loads((vdir / "segments.json").read_text()) if (vdir / "segments.json").exists() else [] + transcript = json.loads((vdir / "transcript.json").read_text()) if (vdir / "transcript.json").exists() else [] + return { + **_video_meta(vdir), + "segments": [{**s, "id": f"{video_id}_{s['idx']:03d}", "frame": f"/media/{video_id}/segments/{s['idx']:03d}.jpg"} for s in segs], + "transcript": transcript, + # Every engine's transcript, so the UI can compare them (e.g. whisper vs gemma). + "transcripts": {engine: json.loads(p.read_text()) for engine, p in {p.stem.split(".", 1)[1]: p for p in vdir.glob("transcript.*.json")}.items()}, + } + + +def _check(view: str, dim: int) -> None: + if not get_index().available_views: + raise HTTPException(409, "No index loaded; configure remote embeddings and build a separate versioned index") + if view not in get_index().available_views: + raise HTTPException(400, f"view must be one of {get_index().available_views}") + if dim not in get_index().dims: + raise HTTPException(400, f"dim must be one of {get_index().dims}; this model does not support arbitrary MRL truncation") + + +@app.get("/api/search") +async def search(q: str = Query(max_length=8000), view: str = "text", dim: int = 768, k: int = Query(10, ge=1, le=50), video_id: str | None = None, owner=Depends(user)) -> dict: + _check(view, dim) + t0 = time.time() + qe = await rag.query(q) + t1 = time.time() + hits = get_index().search(qe, view=view, dim=dim, k=k, video_id=video_id) + return {"query": q, "view": view, "dim": dim, "hits": [_hit(h) for h in hits], + "timing": {"embed_ms": round(1000 * (t1 - t0), 1), "search_ms": round(1000 * (time.time() - t1), 2)}} + + +@app.post("/api/search/image") +async def search_image(file: UploadFile = File(...), view: str = "frame", dim: int = 768, k: int = Query(10, ge=1, le=50), owner=Depends(user)) -> dict: + """Query by screenshot: the image is embedded with no prefix and searched against any view.""" + raise HTTPException(409, "Remote text embeddings do not support image queries; a verified multimodal adapter is required") + + +@app.get("/api/compare") +async def compare(q: str = Query(max_length=8000), view: str = "text", k: int = Query(5, ge=1, le=20), owner=Depends(user)) -> dict: + """Same query at every MRL dim for one view, with overlap against the 768d results.""" + _check(view, 768) + qe = await rag.query(q) + idx = get_index() + columns = [] + base = None + for dim in idx.dims: + hits = idx.search(qe, view=view, dim=dim, k=k) + ids = [h["id"] for h in hits] + base = base or ids + columns.append({ + "dim": dim, + "hits": [_hit(h) for h in hits], + "overlap_with_768": len(set(ids) & set(base)) / k, + "top1_matches_768": ids[:1] == base[:1], + "bytes_per_view": idx.storage_bytes(dim), + }) + return {"query": q, "view": view, "k": k, "columns": columns} + + +@app.get("/api/compare-views") +async def compare_views(q: str = Query(max_length=8000), dim: int = 768, k: int = Query(5, ge=1, le=20), owner=Depends(user)) -> dict: + """Same query across every embedding view at one dim.""" + _check("text", dim) + qe = await rag.query(q) + idx = get_index() + return {"query": q, "dim": dim, "k": k, + "columns": [{"view": v, "hits": [_hit(h) for h in idx.search(qe, view=v, dim=dim, k=k)]} for v in idx.available_views]} + + +class AskRequest(BaseModel): + question: str = Field(min_length=1, max_length=8000) + view: str = "text" + dim: int = 768 + k: int = Field(default=4, ge=1, le=8) + use_video: bool = True + use_audio: bool = False + + +@app.post("/api/ask") +async def ask(req: AskRequest, owner=Depends(user)) -> dict: + _check(req.view, req.dim) + try: + res = await rag._answer(req.question, view=req.view, dim=req.dim, k=req.k, use_video=req.use_video, use_audio=req.use_audio) + except ProviderFailure: + raise + except Exception as e: # generator offline etc. + raise HTTPException(502, "generation unavailable; check provider configuration") from e + res["clips"] = [_hit(c) for c in res["clips"]] + return res + + +@app.get("/api/answers") +def answers(limit: int = Query(50, ge=1, le=100), owner=Depends(user)) -> list[dict]: + p = DATA / "answers" / "history.jsonl" + if not p.exists(): + return [] + rows = [json.loads(line) for line in p.read_text().splitlines() if line.strip()][-limit:][::-1] + for r in rows: + r["clips"] = [_hit(c) for c in r["clips"]] + return rows + + +@app.get("/api/experiments") +def experiments(transcripts: str | None = Query(None, pattern="^[a-zA-Z0-9_-]+$"), owner=Depends(user)) -> dict: + """Latest results, or the run over a specific transcript engine (?transcripts=whisper|gemma).""" + p = EXPERIMENTS_DIR / (f"results.{transcripts}.json" if transcripts else "results.json") + if not p.exists(): + raise HTTPException(404, "No experiment results for this corpus. Sample mode has labeled UI fixtures.") + res = json.loads(p.read_text()) + res["variants"] = sorted(f.name.split(".")[1] for f in EXPERIMENTS_DIR.glob("results.*.json")) + segs = {s["id"]: s for s in get_index().segments} + for q in res["per_query"]: + s = segs.get(q["segment_id"]) + if s: + q["segment"] = _hit({k: s[k] for k in ("id", "video_id", "title", "idx", "start", "end")}) + return res + +from fastapi import Request +from fastapi.responses import JSONResponse + +@app.exception_handler(ProviderFailure) +async def provider_error(request: Request, exc: ProviderFailure): + return JSONResponse(status_code=503, content={"detail": exc.code}) + +from .mentor_api import router as mentor_router +app.include_router(mentor_router) +from .demo import router as demo_router +app.include_router(demo_router) + +request_slots = asyncio.Semaphore(16) + +@app.middleware('http') +async def bounded_body(request: Request, call_next): + if request.url.path == '/api/health': + response = await call_next(request) + response.headers['Cache-Control'] = 'no-store' + return response + if request_slots.locked(): + return JSONResponse(status_code=429, content={'detail':'server concurrency limit'}) + async with request_slots: + if request.url.path.startswith('/media/'): + try: + user(request) + except HTTPException as exc: + return JSONResponse(status_code=exc.status_code,content={'detail':exc.detail}) + if request.method in ('POST', 'PUT', 'PATCH') and request.url.path != '/api/ingest': + size = 0 + chunks = [] + try: + async with asyncio.timeout(10): + async for chunk in request.stream(): + size += len(chunk) + if size > 3 * 1024 * 1024: + return JSONResponse(status_code=413, content={'detail':'request exceeds 3 MiB'}) + chunks.append(chunk) + except TimeoutError: + return JSONResponse(status_code=408, content={'detail':'request upload timed out'}) + request._body = b''.join(chunks) + response = await call_next(request) + response.headers['Cache-Control'] = 'no-store' if request.url.path.startswith('/api/') else 'private, max-age=60' + response.headers['X-Content-Type-Options'] = 'nosniff' + response.headers['Referrer-Policy'] = 'same-origin' + return response + +@app.get('/api/openapi.json', include_in_schema=False) +def api_schema(): + return app.openapi() + +from fastapi.exceptions import RequestValidationError + +@app.exception_handler(RequestValidationError) +async def safe_request_validation(request: Request, exc: RequestValidationError): + # Default Pydantic errors echo input values (including oversized images, + # speech/task text or accidentally pasted credentials). Never return them. + fields = {'body','query','path','header','yaml','expected_version','version', + 'consent','camera_id','frame_id','captured_at','image','feature', + 'config_version','request_id','audio','duration_ms','goal','step', + 'completed','question','view','dim','k','use_video','use_audio', + 'q','video_id','file','limit','transcripts','pid','sid'} + errors = [{'loc':[part if isinstance(part,int) or part in fields else '' for part in error.get('loc',[])], + 'msg':'Invalid request field', 'type':error.get('type','invalid')} + for error in exc.errors()[:16]] + return JSONResponse(status_code=422, content={'detail':errors}) + +from .jobs import router as jobs_router +app.include_router(jobs_router) diff --git a/vrag/backup/__init__.py b/vrag/backup/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..b1fe83b9181a4ddffd53db79152ba217039a7b70 --- /dev/null +++ b/vrag/backup/__init__.py @@ -0,0 +1,195 @@ +"""Legacy format-1 compatibility and shared age/SQLite helpers. + +The active GitHub-only format-2 runtime lives in github.py and service.py. +The old snapshot/restore functions below are retained to validate existing format-1 +archives; their external-asset contract is not used by the current runtime. +""" +import hashlib +import io +import json +import os +from pathlib import Path, PurePosixPath +import re +import sqlite3 +import subprocess +import tarfile +import tempfile +import time + +from config.schema import Configuration + +FORMAT=1 +MAX_FILE=32*1024*1024 +MAX_TOTAL=40*1024*1024 +MEDIA_SUFFIXES={'.mp4','.m4a','.webm','.jpg','.jpeg','.png','.wav','.flac','.mov'} +SECRET=re.compile(rb'(?:-----BEGIN [A-Z ]*PRIVATE KEY-----|sk-[A-Za-z0-9_-]{16,}|AKIA[A-Z0-9]{16}|Bearer [A-Za-z0-9._~-]{24,})') + +def digest(path): + h=hashlib.sha256() + with Path(path).open('rb') as f: + for chunk in iter(lambda:f.read(1024*1024),b''):h.update(chunk) + return h.hexdigest() + +def safe_file(path,root): + if path.is_symlink() or not path.is_file() or not path.resolve().is_relative_to(root.resolve()):raise ValueError('unsafe source file') + if path.stat().st_size>MAX_FILE:raise ValueError('snapshot file too large') + +def db_snapshot(source,dest): + with sqlite3.connect(f'file:{source}?mode=ro',uri=True) as src,sqlite3.connect(dest) as dst: + src.backup(dst,pages=128,sleep=.01) + if dst.execute('PRAGMA integrity_check').fetchone()[0]!='ok':raise ValueError('database integrity failure') + # SQLite page slack can retain deleted credentials; VACUUM removes free pages. + with sqlite3.connect(dest) as db:db.execute('VACUUM') + +def age(args,**kwargs): + result=subprocess.run([os.environ.get('AGE_BIN','age'),*map(str,args)],capture_output=True,timeout=120,**kwargs) + if result.returncode:raise ValueError('age operation failed; check recipient/identity provisioning') + return result.stdout + +def snapshot(data_root,state_root,assets_root,output,recipient,source_snapshot_id,source_revision='unknown'): + data_root,state_root,assets_root,output=map(Path,(data_root,state_root,assets_root,output)) + if not source_snapshot_id or len(source_snapshot_id)>200:raise ValueError('immutable source snapshot identifier required') + if assets_root.resolve()==data_root.resolve() or assets_root.resolve().is_relative_to(data_root.resolve()):raise ValueError('media copy must be independent of source data') + if output.exists():raise ValueError('snapshot output exists') + if output.resolve().is_relative_to(data_root.resolve()) or output.resolve().is_relative_to(state_root.resolve()):raise ValueError('output must be outside source state') + if not data_root.is_dir() or not state_root.is_dir():raise ValueError('durable source unavailable') + # Proof supplied by durable-store exporter, not a flag inferred from local files. + marker=data_root.parent/'source-snapshot.json' + if not marker.exists() or json.loads(marker.read_text()).get('snapshot_id')!=source_snapshot_id:raise ValueError('durable source snapshot marker missing or mismatched') + files={};assets=[];total=0 + with tempfile.TemporaryDirectory(prefix='vm-backup-') as scratch: + scratch=Path(scratch) + def add(name,content): + nonlocal total + if len(content)>MAX_FILE or total+len(content)>MAX_TOTAL:raise ValueError('snapshot exceeds Git storage budget') + if SECRET.search(content):raise ValueError('possible credential detected; snapshot refused') + total+=len(content);files[name]=content + for filename in ('config-history.json','config-history.backup.json'): + source=state_root/filename + if source.exists(): + safe_file(source,state_root) + history=[Configuration.model_validate(c).model_dump() for c in json.loads(source.read_text())] + add('state/'+filename,json.dumps(history).encode()) + for name in ('jobs.sqlite',): + source=data_root/name + if source.exists(): + safe_file(source,data_root) + target=scratch/name;db_snapshot(source,target);add('data/'+name,target.read_bytes()) + # Explicit metadata/index scope. Never include .env, logs, answers or live snapshots. + candidates=[] + for name in ('meta.json','segments.json','transcript.json'): + candidates.extend((data_root/'videos').glob('*/'+name)) + for root in (data_root/'index',data_root/'indexes',data_root/'experiments'): + if root.exists():candidates.extend(p for p in root.rglob('*') if p.is_file() and (p.suffix in ('.json','.npy') or p.name=='CURRENT')) + for source in sorted(candidates): + safe_file(source,data_root) + add('data/'+source.relative_to(data_root).as_posix(),source.read_bytes()) + originals=list((data_root/'videos').glob('*/original')) + media=originals+[p for p in (data_root/'videos').rglob('*') if p.suffix.lower() in MEDIA_SUFFIXES] + for source in sorted(set(media)): + if source.is_symlink() or not source.is_file():raise ValueError('unsafe media') + relative=source.relative_to(data_root).as_posix();copy=assets_root/relative + safe_file_unbounded(copy,assets_root) + checksum=digest(source) + if copy.stat().st_size!=source.stat().st_size or digest(copy)!=checksum:raise ValueError('durable media missing or checksum mismatch') + assets.append({'path':relative,'sha256':checksum,'bytes':source.stat().st_size,'location':relative}) + if not files:raise ValueError('empty snapshot refused') + manifest={'format':FORMAT,'created_at':time.time(),'source_snapshot_id':source_snapshot_id,'source_revision':source_revision, + 'files':{name:{'bytes':len(value),'sha256':hashlib.sha256(value).hexdigest()} for name,value in files.items()}, + 'assets':assets,'coverage':{'metadata':True,'media_copies_verified':True,'media_count':len(assets),'raw_live_camera':False,'credentials':False,'answer_history':False}, + 'exclusions':['environment credentials','raw live capture','ephemeral sessions','logs','answer history','unrecognized files']} + archive=scratch/'snapshot.tar.gz' + with tarfile.open(archive,'w:gz') as tar: + for name,content in {**files,'manifest.json':json.dumps(manifest).encode()}.items(): + info=tarfile.TarInfo(name);info.size=len(content);info.mode=0o600;tar.addfile(info,io.BytesIO(content)) + output.parent.mkdir(parents=True,exist_ok=True) + temp=output.with_suffix(output.suffix+'.tmp') + try: + age(['-r',recipient,'-o',temp,archive]) + if temp.stat().st_size>MAX_TOTAL:raise ValueError('encrypted snapshot exceeds Git budget') + os.replace(temp,output) + envelope={'format':FORMAT,'created_at':manifest['created_at'],'ciphertext_sha256':digest(output),'bytes':output.stat().st_size,'coverage_verified':True,'asset_count':len(assets)} + output.with_suffix('.json').write_text(json.dumps(envelope)) + return envelope + except BaseException: + temp.unlink(missing_ok=True);output.unlink(missing_ok=True);output.with_suffix('.json').unlink(missing_ok=True);raise + +def safe_file_unbounded(path,root): + if path.is_symlink() or not path.is_file() or not path.resolve().is_relative_to(root.resolve()):raise ValueError('durable media missing or unsafe') + +def restore(archive,identity,destination,assets_root,dry_run=False): + archive,identity,destination,assets_root=map(Path,(archive,identity,destination,assets_root)) + envelope=json.loads(archive.with_suffix('.json').read_text()) + if envelope.get('format')!=FORMAT or digest(archive)!=envelope['ciphertext_sha256']:raise ValueError('ciphertext integrity mismatch') + if destination.exists():raise ValueError('restore destination must be new; production is never overwritten') + if archive.stat().st_size>MAX_TOTAL:raise ValueError('archive too large') + with tempfile.TemporaryDirectory(prefix='vm-restore-') as scratch: + clear=Path(scratch)/'snapshot.tar.gz' + age(['-d','-i',identity,'-o',clear,archive]) + import gzip + with gzip.open(clear,'rb') as compressed: + expanded=compressed.read(MAX_TOTAL+1024*1024+1) + if len(expanded)>MAX_TOTAL+1024*1024:raise ValueError('expanded archive exceeds limits') + with tarfile.open(fileobj=io.BytesIO(expanded),mode='r:') as tar: + members=tar.getmembers() + if len(members)>30000 or sum(m.size for m in members)>MAX_TOTAL+1024*1024:raise ValueError('expanded archive exceeds limits') + names=[m.name for m in members] + if len(names)!=len(set(names)):raise ValueError('duplicate archive path') + for m in members: + path=PurePosixPath(m.name) + if not m.isfile() or path.is_absolute() or '..' in path.parts or '\\' in m.name:raise ValueError('unsafe archive member') + manifest=json.load(tar.extractfile('manifest.json')) + if manifest['format']!=FORMAT or set(names)!=set(manifest['files'])|{'manifest.json'}:raise ValueError('manifest mismatch') + contents={} + for name,expected in manifest['files'].items(): + if not name.startswith(('data/','state/')):raise ValueError('unexpected state path') + content=tar.extractfile(name).read() + if len(content)!=expected['bytes'] or hashlib.sha256(content).hexdigest()!=expected['sha256']:raise ValueError('snapshot checksum mismatch') + if SECRET.search(content):raise ValueError('credential found in snapshot') + contents[name]=content + for asset in manifest['assets']: + path=PurePosixPath(asset['path']) + if path.is_absolute() or '..' in path.parts or not str(path).startswith('videos/'):raise ValueError('unsafe asset path') + source=assets_root/path + safe_file_unbounded(source,assets_root) + if source.stat().st_size!=asset['bytes'] or digest(source)!=asset['sha256']:raise ValueError('missing or corrupt restore asset') + if not dry_run: + # Entire restore is staged beside destination and renamed only on success. + destination.parent.mkdir(parents=True,exist_ok=True) + with tempfile.TemporaryDirectory(dir=destination.parent,prefix='.restore-') as staging: + staging=Path(staging)/'state';staging.mkdir(mode=0o700) + for name,content in contents.items(): + target=staging/name;target.parent.mkdir(parents=True,exist_ok=True);target.write_bytes(content);target.chmod(0o600) + for asset in manifest['assets']: + target=staging/'data'/asset['path'];target.parent.mkdir(parents=True,exist_ok=True) + import shutil + shutil.copyfile(assets_root/asset['path'],target);target.chmod(0o600) + for db in staging.rglob('*.sqlite'): + with sqlite3.connect(db) as conn: + if conn.execute('PRAGMA integrity_check').fetchone()[0]!='ok':raise ValueError('restored database invalid') + for asset in manifest['assets']: + if digest(staging/'data'/asset['path'])!=asset['sha256']:raise ValueError('asset changed while restoring') + if destination.exists():raise ValueError('restore destination appeared') + os.rename(staging,destination) + return {'verified':True,'dry_run':dry_run,'files':len(contents),'assets':len(manifest['assets']),'source_snapshot_id':manifest['source_snapshot_id']} + +def stale_status(report,now=None): + now=time.time() if now is None else now + last=report.get('last_verified_success') + age_seconds=now-last if isinstance(last,(int,float)) else None + return {**report,'age_seconds':age_seconds,'stale':age_seconds is None or age_seconds>14*3600, + 'enabled':bool(report.get('private_repository_verified') and report.get('workflow_run_id') and report.get('restore_verified') and last)} + +def retention_keep(envelopes,now=None): + """14 days of snapshots, 8 weekly and 6 monthly; newest verified always kept.""" + now=time.time() if now is None else now + valid=sorted((e for e in envelopes if e.get('coverage_verified')),key=lambda e:e['created_at'],reverse=True) + if not valid:return set() + restored=[e for e in valid if e.get('restore_verified')] + if not restored:return {e['ciphertext_sha256'] for e in valid} + keep={valid[0]['ciphertext_sha256'],restored[0]['ciphertext_sha256']};weeks=set();months=set() + for e in valid: + age_seconds=now-e['created_at'];week=int(age_seconds//(7*86400));month=int(age_seconds//(30*86400)) + if age_seconds<=14*86400 or (week<8 and week not in weeks) or (month<6 and month not in months):keep.add(e['ciphertext_sha256']) + weeks.add(week);months.add(month) + return keep diff --git a/vrag/backup/github.py b/vrag/backup/github.py new file mode 100644 index 0000000000000000000000000000000000000000..2b8dc1e3d38d4bb0aaedb35d35837bd5dd68aa23 --- /dev/null +++ b/vrag/backup/github.py @@ -0,0 +1,420 @@ +"""GitHub-only encrypted checkpoints. No plaintext state leaves this process. + +Writers and snapshot capture share state_lock. Uploads happen after capture, and +an immutable repository record is committed only after all assets read back. +""" +import asyncio +import base64 +import hashlib +import json +import os +from pathlib import Path, PurePosixPath +import re +import sqlite3 +import tempfile +import time +import uuid + +import httpx + +from . import age, db_snapshot, digest, SECRET + +state_lock = asyncio.Lock() +CHUNK = 16 * 1024 * 1024 +ASSETS_PER_RELEASE = 800 +MAX_FILES = 100000 +MAX_BYTES = 20 * 1024**3 + + +def encode(value): + return json.dumps(value, sort_keys=True, separators=(',', ':')).encode() + + +def safe_path(name): + p = PurePosixPath(name) + if p.is_absolute() or '..' in p.parts or '\\' in name or not p.parts or p.parts[0] not in ('data', 'state'): + raise ValueError('unsafe recovery path') + return p + + +class GitHubPermanentError(ValueError): + """A rejected credential/request must not be retried with the same input.""" + def __init__(self, status, host, request_id=None): + self.status, self.host, self.request_id = status, host, request_id + self.code = 'github_authentication_failed' if status == 401 else 'github_request_rejected' + super().__init__(f'{self.code}: status={status} host={host}') + + +def safe_http_event(response): + allowed = ('x-github-request-id', 'x-github-api-version-selected', + 'x-ratelimit-limit', 'x-ratelimit-remaining', 'x-ratelimit-resource', + 'x-accepted-github-permissions', 'x-oauth-scopes', 'content-type', 'server') + headers = {k:response.headers[k][:512] for k in allowed if k in response.headers} + if 'www-authenticate' in response.headers: + headers['www-authenticate'] = response.headers['www-authenticate'].split(' ',1)[0] + return {'method':response.request.method, 'host':response.request.url.host, + 'status':response.status_code, 'headers':headers, + 'client_authorization_attached':bool(response.request.headers.get('authorization'))} + + +class GitHubStore: + def __init__(self, repo, namespace='production', token=None, client=None, diagnostic=None): + if not re.fullmatch(r'[A-Za-z0-9_.-]+/[A-Za-z0-9_.-]+', repo): + raise ValueError('invalid repository') + if not re.fullmatch(r'[a-z0-9-]{1,60}', namespace): + raise ValueError('invalid namespace') + self.repo, self.namespace = repo, namespace + self.diagnostic = diagnostic or (lambda event: None) + self.client = client or httpx.Client(timeout=120, follow_redirects=False) + self.token = token or os.environ.get('VM_BACKUP_GITHUB_TOKEN', '') + if not self.token: + raise ValueError('VM_BACKUP_GITHUB_TOKEN required') + self.base = f'https://api.github.com/repos/{repo}' + self.headers = {'Authorization': 'Bearer ' + self.token, 'Accept': 'application/vnd.github+json', 'X-GitHub-Api-Version': '2022-11-28'} + + def observe(self, response): + self.diagnostic(safe_http_event(response)) + + @staticmethod + def accepted(response): + if 400 <= response.status_code < 500 and response.status_code != 429: + raise GitHubPermanentError(response.status_code,response.request.url.host, + response.headers.get('x-github-request-id')) + response.raise_for_status() + + def request(self, method, url, *, missing=False, **kwargs): + # Retry only bounded transient errors. Writes are reconciled by their + # immutable IDs/names by the caller; no unsafe blind creation loops. + for attempt in range(3): + try: + response = self.client.request(method, url, headers=self.headers, **kwargs) + self.observe(response) + if response.status_code == 404 and missing: + return None + if response.status_code in (429, 500, 502, 503, 504): + if attempt < 2: + time.sleep(min(2**attempt, 4)); continue + self.accepted(response) + return response + except (httpx.TimeoutException, httpx.NetworkError): + if attempt == 2: raise ValueError('github_network_failure') from None + time.sleep(2**attempt) + raise ValueError('github_request_failed') + + def verify(self): + if self.request('GET', self.base).json().get('private') is not True: + raise ValueError('backup repository must be private') + + def checkpoints(self): + # GitHub Contents directory listing is limited to 1000. Shard by year, + # never silently accept a truncated list. No automatic deletion. + result = [] + root = self.request('GET', self.base + '/contents/checkpoints/' + self.namespace, missing=True) + if root is None: return [] + years = root.json() + if not isinstance(years, list) or len(years) >= 1000: raise ValueError('checkpoint listing limit') + for year in years: + if year['type'] != 'dir' or not re.fullmatch(r'\d{4}', year['name']): raise ValueError('unexpected checkpoint directory') + rows = self.request('GET', self.base + '/contents/' + year['path']).json() + if len(rows) >= 1000: raise ValueError('checkpoint year full; rotate namespace explicitly') + result.extend(rows) + return sorted(result, key=lambda r: r['path'], reverse=True) + + def record(self, row): + response = self.request('GET', self.base + '/contents/' + row['path']).json() + return json.loads(base64.b64decode(response['content'])) + + def download(self, ref, target): + # API may redirect to a signed release URL. Never forward GitHub bearer + # credentials to that other origin. Reject arbitrary redirect hosts. + headers = {**self.headers, 'Accept': 'application/octet-stream'} + url = self.base + '/releases/assets/' + str(int(ref['id'])) + for attempt in range(3): + try: + response = self.client.get(url, headers=headers, follow_redirects=False) + self.observe(response) + if response.status_code in (301, 302, 303, 307, 308): + location = httpx.URL(response.headers['location']) + if location.scheme != 'https' or location.host not in ('release-assets.githubusercontent.com', 'objects.githubusercontent.com'): + raise ValueError('release redirect denied') + response = self.client.get(str(location), headers={'Accept': 'application/octet-stream'}, follow_redirects=False) + self.observe(response) + self.accepted(response) + # Each encrypted object is bounded (manifest is bounded too). + if len(response.content) > CHUNK + 1024*1024: raise ValueError('asset too large') + target.write_bytes(response.content) + if digest(target) != ref['sha256'] or target.stat().st_size != ref['bytes']: + raise ValueError('encrypted asset checksum mismatch') + return + except (httpx.TimeoutException, httpx.NetworkError): + if attempt == 2: raise ValueError('github_download_failed') from None + time.sleep(2**attempt) + + def release(self, checkpoint): + tag = f'vm-{self.namespace}-{checkpoint}' + old = self.request('GET', self.base + '/releases/tags/' + tag, missing=True) + if old is not None: return old.json() + try: + return self.request('POST', self.base + '/releases', json={'tag_name':tag, 'name':tag, 'draft':False, 'prerelease':True}).json() + except GitHubPermanentError: + raise + except (ValueError, httpx.HTTPError): + old = self.request('GET', self.base + '/releases/tags/' + tag, missing=True) + if old is None: raise + return old.json() + + def upload(self, release, source): + sha = digest(source); name = sha + '.age' + # Use GitHub's documented URI template, but authorize the destination + # before attaching credentials. Never follow an upload redirect. + url = release.get('upload_url','').partition('{')[0] + parsed = httpx.URL(url) + expected = f"/repos/{self.repo}/releases/{int(release['id'])}/assets" + if (parsed.scheme != 'https' or parsed.host != 'uploads.github.com' + or parsed.port not in (None,443) or parsed.path != expected + or parsed.userinfo or parsed.query or parsed.fragment): + raise ValueError('GitHub upload destination denied') + # Reconcile uncertain creation by immutable ciphertext name, never clobber. + for attempt in range(3): + assets = self.assets(release['id']) + match = next((a for a in assets if a['name'] == name), None) + if match: break + try: + with source.open('rb') as data: + match = self.client.post(url, params={'name':name}, headers={**self.headers, 'Content-Type':'application/octet-stream'}, content=data.read(), follow_redirects=False) + self.observe(match) + self.accepted(match); match = match.json(); break + except GitHubPermanentError: + raise + except (httpx.HTTPError, ValueError): + if attempt == 2: raise ValueError('github_upload_failed') from None + time.sleep(2**attempt) + ref = {'id':match['id'], 'sha256':sha, 'bytes':source.stat().st_size} + with tempfile.TemporaryDirectory() as scratch: + self.download(ref, Path(scratch)/'verify.age') + return ref + + def assets(self, release_id): + rows=[] + for page in range(1, 1001): + result=self.request('GET', self.base+f'/releases/{release_id}/assets', params={'per_page':100,'page':page}).json() + rows.extend(result) + if len(result)<100:return rows + raise ValueError('release asset listing limit') + + def commit(self, checkpoint, ref): + year = time.strftime('%Y', time.gmtime()) + path = f'checkpoints/{self.namespace}/{year}/{checkpoint}.json' + payload = {'format':2, 'created_at':time.time(), 'manifest':ref} + url = self.base + '/contents/' + path + existing = self.request('GET', url, missing=True) + if existing is not None: + if json.loads(base64.b64decode(existing.json()['content']))['manifest'] != ref: + raise ValueError('checkpoint collision') + return + try: + self.request('PUT', url, json={'message':'Publish encrypted recovery checkpoint', 'content':base64.b64encode(encode(payload)).decode()}) + except GitHubPermanentError: + raise + except (ValueError, httpx.HTTPError): + existing = self.request('GET', url, missing=True) + if existing is None or json.loads(base64.b64decode(existing.json()['content']))['manifest'] != ref: raise + + +class Checkpoints: + def __init__(self, store, recipient, identity): + self.store, self.recipient, self.identity = store, recipient, Path(identity) + + def manifest(self, row, scratch): + record = self.store.record(row) + if record.get('format') != 2: raise ValueError('unsupported checkpoint') + cipher = scratch/'manifest.age'; clear = scratch/'manifest.json' + self.store.download(record['manifest'], cipher) + age(['-d','-i',self.identity,'-o',clear,cipher]) + if clear.stat().st_size > CHUNK: raise ValueError('manifest too large') + manifest = json.loads(clear.read_bytes()) + if manifest.get('format') != 2: raise ValueError('unsupported manifest') + return manifest + + def capture(self, data, state, stage): + """Called while app writers are paused; copy online SQLite snapshots.""" + data, state = Path(data), Path(state) + if any(stage.iterdir()):raise ValueError('capture stage must be empty') + import shutil + required=sum(p.stat().st_size for root in (data,state) for p in root.rglob('*') if p.is_file() and not p.is_symlink()) + if required>MAX_BYTES or shutil.disk_usage(stage).freeMAX_FILES or total>MAX_BYTES: raise ValueError('backup capacity exceeded') + if source.suffix in ('.json','.jsonl','.yaml','.yml'): + tail=b'' + with target.open('rb') as stream: + while chunk:=stream.read(1024*1024): + if SECRET.search(tail+chunk):raise ValueError('credential signature in metadata') + tail=chunk[-512:] + if not count: raise ValueError('empty checkpoint refused') + self.coverage(stage) + + @staticmethod + def coverage(root): + from config.schema import Configuration + config=root/'state/config-history.json' + if config.exists(): + for entry in json.loads(config.read_text()): Configuration.model_validate(entry) + data=root/'data'; current=data/'index/CURRENT' + coverage={'index_revision':None, 'video_count':0, 'index_segments':0} + for folder in (data/'videos').glob('*'): + if not folder.is_dir(): raise ValueError('invalid video directory') + # Uploaded queued files are preserved too. A published library item + # must include original, proxy, thumbnail, transcript and segments. + if (folder/'meta.json').exists(): + for name in ('original','video.mp4','thumb.jpg','transcript.json','segments.json'): + if not (folder/name).is_file(): raise ValueError('incomplete library item') + coverage['video_count']+=1 + if current.exists(): + revision=current.read_text().strip() + if not re.fullmatch('[0-9a-f]{32}',revision): raise ValueError('invalid index revision') + index=data/'index/revisions'/revision + manifest=json.loads((index/'manifest.json').read_text()) + segments=json.loads((index/'segments.json').read_text()) + import numpy as np + for view in manifest['views']: + matrix=np.load(index/(view+'.npy'),allow_pickle=False,mmap_mode='r') + if matrix.ndim!=2 or len(matrix)!=len(segments) or matrix.shape[1]!=manifest['dimension'] or not np.isfinite(matrix).all() or (np.linalg.norm(matrix,axis=1)==0).any(): + raise ValueError('index coverage mismatch') + for seg in segments: + video=data/'videos'/seg['video_id'] + if not video.is_dir() or not (video/'segments.json').exists(): raise ValueError('index references missing media') + if not any(s['id']==seg['id'] and s.get('text')==seg.get('text') for s in json.loads((video/'segments.json').read_text())): + raise ValueError('index references inconsistent segment metadata') + coverage.update(index_revision=revision,index_segments=len(segments),embedding_space=manifest.get('embedding_space')) + elif (data/'index/manifest.json').exists(): + raise ValueError('legacy unversioned index requires explicit migration') + return coverage + + def backup(self, stage, progress=lambda **kw:None): + self.store.verify() + # Validate the provisioned decryptor matches the encryption recipient + # before publishing a checkpoint that might otherwise be unrecoverable. + with tempfile.TemporaryDirectory() as probe: + probe=Path(probe);(probe/'clear').write_bytes(b'visual-mentor-key-check') + age(['-r',self.recipient,'-o',probe/'cipher',probe/'clear']) + age(['-d','-i',self.identity,'-o',probe/'roundtrip',probe/'cipher']) + if (probe/'roundtrip').read_bytes()!=b'visual-mentor-key-check':raise ValueError('recovery key mismatch') + checkpoint=time.strftime('%Y%m%dT%H%M%S',time.gmtime())+f'{time.time_ns()%1000000000:09d}-'+uuid.uuid4().hex + with tempfile.TemporaryDirectory(prefix='vm-encrypt-') as temp: + temp=Path(temp);previous={} + rows=self.store.checkpoints() + if rows: previous=self.manifest(rows[0],temp).get('objects',{}) + objects={};files={};locations={};pending=0 + for source in sorted(stage.rglob('*')): + if not source.is_file(): continue + names=[] + with source.open('rb') as stream: + offset=0 + while chunk:=stream.read(CHUNK): + sha=hashlib.sha256(chunk).hexdigest(); names.append(sha) + if sha not in objects: + objects[sha]=previous.get(sha) + if objects[sha] is None: + locations[sha]=(source,offset,len(chunk)); pending+=1 + offset+=len(chunk) + files[source.relative_to(stage).as_posix()]={'bytes':source.stat().st_size,'sha256':digest(source),'chunks':names} + progress(pending_uploads=pending) + release=self.store.release(checkpoint);release_number=0;release_assets=0 + for sha,ref in list(objects.items()): + if ref is None: + clear=temp/'upload.clear';cipher=temp/'upload.age' + cipher.unlink(missing_ok=True) + source,offset,length=locations[sha] + with source.open('rb') as stream: + stream.seek(offset);clear.write_bytes(stream.read(length)) + if digest(clear)!=sha:raise ValueError('staged object changed') + age(['-r',self.recipient,'-o',cipher,clear]) + if release_assets>=ASSETS_PER_RELEASE: + release_number+=1;release_assets=0 + release=self.store.release(checkpoint+f'-{release_number:04d}') + objects[sha]=self.store.upload(release,cipher);release_assets+=1 + pending-=1;progress(pending_uploads=pending) + else: + # A committed reference must still exist and match before + # claiming coverage. Missing dedup objects fail closed. + self.store.download(ref,temp/'dedup-check.age') + manifest={'format':2,'checkpoint':checkpoint,'created_at':time.time(),'files':files,'objects':objects, + 'coverage':self.coverage(stage),'exclusions':['live camera buffers','sessions','environment credentials','backup health cache']} + clear=temp/'new-manifest.json';clear.write_bytes(encode(manifest)) + if clear.stat().st_size>CHUNK: raise ValueError('manifest capacity exceeded') + cipher=temp/'new-manifest.age';age(['-r',self.recipient,'-o',cipher,clear]) + if release_assets>=ASSETS_PER_RELEASE: + release_number+=1 + release=self.store.release(checkpoint+f'-{release_number:04d}') + ref=self.store.upload(release,cipher) + self.store.commit(checkpoint,ref) + return {'checkpoint':checkpoint,'created_at':manifest['created_at'],'files':len(files), + 'encrypted_bytes_referenced':sum(r['bytes'] for r in objects.values())+ref['bytes'], + 'coverage':manifest['coverage']} + + def restore(self, destination, checkpoint=None): + destination=Path(destination) + if destination.exists(): raise ValueError('recovery destination must be new') + self.store.verify();rows=self.store.checkpoints() + if checkpoint: + rows=[r for r in rows if Path(r['path']).stem==checkpoint] + if not rows: raise ValueError('no committed recovery point') + # No silent fallback: a damaged newest checkpoint requires explicit choice. + with tempfile.TemporaryDirectory(dir=destination.parent,prefix='.vm-recovery-') as temp: + temp=Path(temp);manifest=self.manifest(rows[0],temp);stage=temp/'recovered';stage.mkdir(mode=0o700) + files=manifest['files'];total=0 + if len(files)>MAX_FILES: raise ValueError('recovery capacity exceeded') + for name,info in files.items(): + safe_path(name);total+=info['bytes'] + if info['bytes']<0 or total>MAX_BYTES: raise ValueError('recovery capacity exceeded') + target=stage/name;target.parent.mkdir(parents=True,exist_ok=True) + with target.open('xb') as output: + for sha in info['chunks']: + if not re.fullmatch('[0-9a-f]{64}',sha):raise ValueError('invalid object address') + cipher=temp/'chunk.age';clear=temp/'chunk.clear' + clear.unlink(missing_ok=True) + self.store.download(manifest['objects'][sha],cipher) + age(['-d','-i',self.identity,'-o',clear,cipher]) + if clear.stat().st_size>CHUNK or digest(clear)!=sha:raise ValueError('plaintext checksum mismatch') + output.write(clear.read_bytes()) + output.flush();os.fsync(output.fileno()) + target.chmod(0o600) + if target.stat().st_size!=info['bytes'] or digest(target)!=info['sha256']:raise ValueError('restored file checksum mismatch') + for db in stage.rglob('*.sqlite'): + with sqlite3.connect(db) as conn: + if conn.execute('PRAGMA integrity_check').fetchone()[0]!='ok':raise ValueError('restored SQLite invalid') + if self.coverage(stage)!=manifest['coverage']:raise ValueError('restored coverage mismatch') + os.rename(stage,destination) + return {'verified':True,'checkpoint':manifest['checkpoint'],'files':len(files),'coverage':manifest['coverage'],'created_at':manifest['created_at'],'tested_at':time.time()} diff --git a/vrag/backup/service.py b/vrag/backup/service.py new file mode 100644 index 0000000000000000000000000000000000000000..4da6cf51fba6373cbcb183cd84c77d7c51ed6e5d --- /dev/null +++ b/vrag/backup/service.py @@ -0,0 +1,175 @@ +"""Single-process backup queue and pre-import empty-filesystem recovery.""" +import asyncio +import json +import os +from pathlib import Path +import tempfile +import time + +from .github import Checkpoints, GitHubStore, GitHubPermanentError, state_lock + + +def configured(): + return os.environ.get('VM_BACKUP_ENABLED') == 'true' + + +def provision_identity(): + # HF Secrets injects this directly; it is not a network-proxy credential. + # The temporary key file is outside application state and never backed up. + if os.environ.get('VM_BACKUP_IDENTITY_FILE'): + return + identity=os.environ.get('VM_BACKUP_IDENTITY','') + if not identity: + raise ValueError('protected age recovery identity required') + fd,path=tempfile.mkstemp(prefix='vm-protected-identity-',suffix='.agekey') + with os.fdopen(fd,'w') as output: + output.write(identity+'\n') + os.chmod(path,0o600) + os.environ['VM_BACKUP_IDENTITY_FILE']=path + # Child processes need only the protected path, not another copy of the key. + os.environ.pop('VM_BACKUP_IDENTITY',None) + + +def engine(): + provision_identity() + return Checkpoints(GitHubStore(os.environ['VM_BACKUP_REPOSITORY'],os.environ.get('VM_BACKUP_NAMESPACE','production')), + os.environ['VM_BACKUP_RECIPIENT'],os.environ['VM_BACKUP_IDENTITY_FILE']) + + +def roots(): + root=Path(os.environ.get('VM_RECOVERY_ROOT','/app/work')).resolve() + data=Path(os.environ.get('VRAG_DATA',root/'data')).resolve() + state=Path(os.environ.get('VM_STATE_DIR',root/'state')).resolve() + if data!=root/'data' or state!=root/'state':raise ValueError('backup requires data and state under VM_RECOVERY_ROOT') + if Path(os.environ.get('VRAG_INDEX_DIR',data/'index')).resolve()!=data/'index': + raise ValueError('external index path is not covered') + identity=Path(os.environ['VM_BACKUP_IDENTITY_FILE']).resolve() + if identity.is_relative_to(root):raise ValueError('identity must be provisioned outside application state') + return root,data,state + + +def bootstrap(): + if not configured():return + provision_identity() + root,data,state=roots() + if root.exists() and any(p.is_file() for p in root.rglob('*')):return + root.parent.mkdir(parents=True,exist_ok=True) + if root.exists(): + import shutil + shutil.rmtree(root) # empty directories only, checked above + backup=engine() + if not backup.store.checkpoints(): + backup.store.verify() + if os.environ.get('VM_BACKUP_ALLOW_EMPTY')!='true':raise ValueError('no checkpoint; explicit first-start authorization required') + data.mkdir(parents=True);state.mkdir() + return + result=backup.restore(root) + write_health({**default_health(),'last_recovery_test':result,'last_success':{'checkpoint':result['checkpoint'],'created_at':result['created_at']},'restore_points':[result['checkpoint']]}) + + +def default_health(): + return {'configured':configured(),'last_success':None,'pending_uploads':None,'failure_code':None, + 'last_recovery_test':None,'restore_points':[],'encrypted_storage_bytes':None,'queued':False} + + +def health_path(): + return Path(os.environ['VM_STATE_DIR'])/'backup-health.json' + + +def health(): + report=default_health() + if configured() and health_path().exists(): + try: + report.update(json.loads(health_path().read_text())) + except (OSError,ValueError,TypeError): + report['failure_code']='health_cache_invalid' + last=(report.get('last_success') or {}).get('created_at') + report['stale']=last is None or time.time()-last>14*3600 + return report + + +def write_health(report): + path=health_path();path.parent.mkdir(parents=True,exist_ok=True) + temp=path.with_suffix('.tmp');temp.write_text(json.dumps(report));temp.chmod(0o600);os.replace(temp,path) + + +class BackupQueue: + def __init__(self): + self.event=asyncio.Event();self.report=None + self.busy=False;self.recovery_requested=False + + def request(self, recovery=False): + if not configured():return False + self.recovery_requested|=recovery + self.event.set() + return True + + def update(self, **values): + self.report.update(values);write_health(self.report) + + async def run(self): + self.report=health() + # A checkpoint on boot catches changes made before an interrupted trigger. + self.event.set() + while True: + try: + # Validated locally as a fallback timer, not a wake mechanism. + await asyncio.wait_for(self.event.wait(),timeout=12*3600) + except TimeoutError:pass + self.event.clear();self.busy=True + recovery=self.recovery_requested;self.recovery_requested=False + self.update(queued=True,last_attempt=time.time(),failure_code=None) + try: + backup=engine();_,data,state=roots() + for attempt in range(3): + try: + with tempfile.TemporaryDirectory(prefix='vm-capture-') as stage: + stage=Path(stage) + await asyncio.wait_for(state_lock.acquire(),timeout=90) + try: + capture=asyncio.create_task(asyncio.to_thread(backup.capture,data,state,stage)) + try: + await asyncio.shield(capture) + except asyncio.CancelledError: + await capture + raise + finally: + state_lock.release() + result=await asyncio.to_thread(backup.backup,stage,self.update) + self.update(last_success=result,pending_uploads=0) + break + except GitHubPermanentError: + raise + except Exception: + if attempt==2:raise + await asyncio.sleep(2**attempt) + rows=await asyncio.to_thread(backup.store.checkpoints) + self.update(restore_points=[Path(r['path']).stem for r in rows]) + # Actual encrypted usage includes orphaned assets and historical + # releases, not just objects referenced by the newest checkpoint. + total=0 + for page in range(1,1001): + releases=await asyncio.to_thread(backup.store.request,'GET',backup.store.base+'/releases',params={'per_page':100,'page':page}) + releases=releases.json() + for release in releases: + if release['tag_name'].startswith('vm-'+backup.store.namespace+'-'): + assets=await asyncio.to_thread(backup.store.assets,release['id']) + total+=sum(a['size'] for a in assets) + if len(releases)<100:break + else:raise ValueError('storage inventory listing limit') + self.update(encrypted_storage_bytes=total) + if recovery: + with tempfile.TemporaryDirectory(prefix='vm-recovery-test-') as temp: + result=await asyncio.to_thread(backup.restore,Path(temp)/'recovered') + self.update(last_recovery_test=result) + except asyncio.CancelledError:raise + except GitHubPermanentError as error: + self.update(failure_code=error.code) + except Exception: + # Never expose exception text containing provider credentials. + self.update(failure_code='backup_or_recovery_failed',last_recovery_test={'verified':False,'tested_at':time.time()} if recovery else self.report.get('last_recovery_test')) + finally: + self.busy=False;self.update(queued=self.event.is_set()) + + +queue=BackupQueue() diff --git a/vrag/cli.py b/vrag/cli.py new file mode 100644 index 0000000000000000000000000000000000000000..992b6b52d04b1312a3d046b08c3dbd26146c8c41 --- /dev/null +++ b/vrag/cli.py @@ -0,0 +1,107 @@ +"""vrag command line. Pipeline order: ingest -> transcribe -> segment -> embed -> evalset -> experiments.""" + +import typer + +app = typer.Typer(no_args_is_help=True, add_completion=False) + + +@app.command() +def download(n: int = 15): + """Download the latest N channel uploads from YouTube (may be bot-blocked; prefer `ingest`).""" + from . import download as d + d.run(n) + + +@app.command() +def ingest(): + """Ingest local files from sams-videos/ (transcode to 480p, match to YouTube uploads).""" + from . import ingest as i + i.run() + + +@app.command() +def transcribe(engine: str = typer.Option(None, help="gemma (default, needs vLLM) or whisper"), force: bool = False): + """Timestamped transcripts (creator captions if present, else Gemma 4 or Whisper).""" + from . import transcribe as t + from .config import ASR_ENGINE + t.run(engine or ASR_ENGINE, force=force) + + +@app.command() +def switch_transcripts(engine: str): + """Make ENGINE's transcripts active, keep segment boundaries, and re-embed the text + fused views.""" + from . import embed as e + from . import segment as s + from . import transcribe as t + from .config import VIDEOS_DIR + + for vdir in sorted(p for p in VIDEOS_DIR.iterdir() if (p / "video.mp4").exists()): + t.ensure_transcript(vdir, engine=engine, activate=True) + s.retext() + e.run(["text", "fused"], force=True) + + +@app.command() +def compare_transcripts(a: str = "whisper", b: str = "gemma"): + """Word-level disagreement (WER of B against A) per video.""" + from . import transcribe as t + for r in t.compare((a, b)): + print(f"{r['wer']:.3f} {r['words']} {r['title']}") + + +@app.command() +def segment(): + """Cut ~30s segments and extract clip/audio/keyframe media.""" + from . import segment as s + s.run() + + +@app.command() +def embed(view: list[str] = typer.Option(None, help="Subset of views to (re)build"), force: bool = False): + """Embed every segment under every view with EmbeddingGemma 2.""" + from . import embed as e + e.run(view, force=force) + + +@app.command() +def evalset(per_video: int = 8): + """Generate spoken + visual eval queries with Gemma 4 (needs serve/serve.sh running).""" + from . import evalset as ev + ev.run(per_video) + + +@app.command() +def experiments(): + """Run the view x MRL-dim retrieval grid over the eval set.""" + from . import experiments as ex + ex.run() + + +@app.command() +def build(): + """ingest -> transcribe -> segment -> embed.""" + ingest() + transcribe() + segment() + embed() + + +@app.command() +def ask(question: str, view: str = "fused", dim: int = 768, k: int = 4, audio: bool = False): + """Ask a question over the corpus from the terminal.""" + from . import rag + res = rag.answer(question, view=view, dim=dim, k=k, use_audio=audio) + print(res["answer"]) + for n, c in enumerate(res["clips"], 1): + print(f"[{n}] {c['title']} @ {rag.fmt_ts(c['start'])} (score {c['score']:.3f})") + + +@app.command() +def api(host: str = "127.0.0.1", port: int = 8000, reload: bool = False): + """Serve the FastAPI backend for the web UI.""" + import uvicorn + uvicorn.run("vrag.api:app", host=host, port=port, reload=reload) + + +if __name__ == "__main__": + app() diff --git a/vrag/config.py b/vrag/config.py new file mode 100644 index 0000000000000000000000000000000000000000..880dc63089de9b7a25e3d029421fc9301c449ea5 --- /dev/null +++ b/vrag/config.py @@ -0,0 +1,38 @@ +"""Paths and knobs shared across the pipeline. Override any of these with VRAG_* env vars.""" + +import os +from pathlib import Path + +ROOT = Path(__file__).resolve().parent.parent +DATA = Path(os.environ.get("VRAG_DATA", ROOT / "data")) +VIDEOS_DIR = DATA / "videos" +INDEX_DIR = Path(os.environ.get("VRAG_INDEX_DIR", DATA / "index")) +EVAL_DIR = DATA / "eval" +EXPERIMENTS_DIR = DATA / "experiments" + +CHANNEL_URL = os.environ.get("VRAG_CHANNEL", "https://www.youtube.com/@samwitteveenai/videos") +NUM_VIDEOS = int(os.environ.get("VRAG_NUM_VIDEOS", 15)) + +EMBED_MODEL = os.environ.get("VRAG_EMBED_MODEL", "google/embeddinggemma-2") +GEN_BASE_URL = os.environ.get("VRAG_GEN_BASE_URL", "http://127.0.0.1:8001/v1") +GEN_MODEL = os.environ.get("VRAG_GEN_MODEL_NAME", "gemma-4") + +# Speech-to-text engine: "gemma" (Gemma 4 12B via the vLLM server) or "whisper" (local). +ASR_ENGINE = os.environ.get("VRAG_ASR", "gemma") + +# Segments target ~30s and snap to caption boundaries. At 1fps that's ~30 frames * 140 +# tokens + 30s * 25 audio tokens + transcript, comfortably inside the 8,192-token window. +SEGMENT_TARGET_S = float(os.environ.get("VRAG_SEGMENT_S", 30)) +SEGMENT_MIN_S = 12.0 + +# MRL dimensions EmbeddingGemma 2 is trained for. +DIMS = [768, 512, 256, 128] + +# Each segment gets one embedding per "view" so we can compare what actually helps retrieval. +VIEWS = { + "text": "Transcript only (title + caption text)", + "frame": "Single keyframe image from the middle of the segment", + "video": "Video frames only at 1fps (no audio, no text)", + "audio": "Raw audio only (16kHz mono), no transcript", + "fused": "Transcript + video + audio interleaved into one embedding", +} diff --git a/vrag/demo.py b/vrag/demo.py new file mode 100644 index 0000000000000000000000000000000000000000..0d1bb03947fdc3cc5a0f9b654724029bb4243212 --- /dev/null +++ b/vrag/demo.py @@ -0,0 +1,61 @@ +"""Public, immutable synthetic corpus. Never reads private state or calls providers.""" +from fastapi import APIRouter, HTTPException, Query +from pydantic import BaseModel + +router = APIRouter(prefix='/api/demo') +TITLES = ['Workshop safety: prepare the bench', 'Camera framing and lighting', 'Find evidence in video'] +TEXT = ['Clear the workbench and check equipment before starting.', 'Check the camera lighting and keep hands visible.'] + +def videos(): + return [dict(id=f'sample-{i+1}', title=t, duration=60, source_file='Synthetic sample corpus', + youtube_id=None, webpage_url=None, view_count=None, channel_position=i, + num_segments=2, thumb=f'/sample/thumb-{i+1}.jpg', video='/sample/video.mp4', + transcript_source='sample', transcript_engine='sample', sample=True) for i,t in enumerate(TITLES)] + +def segments(): + return [dict(id=f'{v["id"]}_{i:03d}', video_id=v['id'],title=v['title'],idx=i,start=i*30,end=(i+1)*30,text=t,frame=v['thumb']) for v in videos() for i,t in enumerate(TEXT)] + +@router.get('/videos') +def library(): return videos() + +@router.get('/videos/{vid}') +def detail(vid: str): + v=next((v for v in videos() if v['id']==vid),None) + if not v: raise HTTPException(404,'Unknown sample video') + segs=[s for s in segments() if s['video_id']==vid] + return {**v,'segments':segs,'transcript':segs,'transcripts':{}} + +@router.get('/stats') +def stats(): + return dict(model='Synthetic sample · lexical retrieval, no embeddings',sample=True,segments=6,videos=3,dims=[768],views=['text'],view_descriptions={'text':'Sample transcript keyword matching; not vector inference'},storage=[{'dim':768,'bytes_per_view':0}],total_duration_s=180,views_built={}) + +@router.get('/search') +def search(q: str=Query('',max_length=8000), k:int=Query(10,ge=1,le=50),video_id:str|None=None): + words=set(q.lower().split()) + rows=[s for s in segments() if video_id is None or s['video_id']==video_id] + rows.sort(key=lambda s:len(words & set((s['text']+' '+s['title']).lower().split())),reverse=True) + return dict(query=q,view='text',dim=768,hits=[{**s,'rank':i+1,'score':len(words & set(s['text'].lower().split()))} for i,s in enumerate(rows[:k])],sample=True,timing={'embed_ms':0,'search_ms':0}) + +class Question(BaseModel): + question: str + k:int=4 + +@router.post('/ask') +def ask(body:Question): + clips=search(body.question,max(1,min(body.k,6)))['hits'] + return dict(question=body.question,answer='Sample evidence extract (no model generated this answer): '+clips[0]['text']+' [1]',clips=clips,settings={'view':'text','dim':768,'k':len(clips),'use_video':False,'use_audio':False},usage={'prompt_tokens':0,'completion_tokens':0},usage_available=False,timing={'retrieve_s':0,'generate_s':0},created_at='2026-10-16T12:00:00Z',sample=True) + +@router.get('/answers') +def history(): return [] + +@router.get('/compare') +def compare(q:str=''): + return dict(query=q,view='text',k=6,columns=[{'dim':768,'hits':search(q,k=10)['hits'],'overlap_with_768':1,'top1_matches_768':True,'bytes_per_view':0}],sample=True) + +@router.get('/compare-views') +def compare_views(q:str=''): + return dict(query=q,dim=768,k=5,columns=[{'view':'text','hits':search(q,k=10)['hits']}],sample=True) + +@router.get('/experiments') +def experiments(): + return dict(created_at='2026-10-16T12:00:00Z',model='Synthetic UI fixture · not a measured benchmark',sample=True,num_segments=6,num_queries=1,query_types={'spoken':1,'visual':0},query_embed_ms=0,dims=[768],views=['text'],storage=[{'dim':768,'bytes_per_vector':0,'bytes_per_view':0,'bytes_all_views':0}],grid=[{'view':'text','dim':768,'query_type':'all','recall@1':1,'recall@5':1,'recall@10':1,'mrr@10':1,'neighbor_recall@5':1,'video_hit@1':1,'n':1,'search_ms':0}],per_query=[{'query':'Prepare the bench','type':'spoken','segment_id':'sample-1_000','video_id':'sample-1','source':'synthetic fixture','ranks':{'text@768':1},'segment':search('bench',k=10)['hits'][0]}]) diff --git a/vrag/download.py b/vrag/download.py new file mode 100644 index 0000000000000000000000000000000000000000..da58aa15604a634d60cd9026020a063205030c2f --- /dev/null +++ b/vrag/download.py @@ -0,0 +1,69 @@ +"""Fetch the latest N uploads from a YouTube channel: 480p mp4, creator captions, thumbnail, slim metadata.""" + +import json +import subprocess +import sys + +from rich.console import Console + +from .config import CHANNEL_URL, NUM_VIDEOS, VIDEOS_DIR + +console = Console() + +# 480p is plenty for 1fps frame embeddings and for the generator, and keeps disk use ~20MB per 10 min. +FORMAT = "bv*[height<=480][ext=mp4]+ba[ext=m4a]/b[height<=480]" +META_KEYS = [ + "id", "title", "description", "duration", "upload_date", "view_count", "like_count", + "comment_count", "tags", "categories", "chapters", "channel", "webpage_url", +] + + +def ytdlp(*args: str) -> subprocess.CompletedProcess: + return subprocess.run([sys.executable, "-m", "yt_dlp", *args], capture_output=True, text=True) + + +def list_latest(n: int = NUM_VIDEOS, channel: str = CHANNEL_URL) -> list[str]: + # Over-fetch then drop Shorts / live streams that have no duration. + out = ytdlp("--flat-playlist", "--playlist-end", str(n * 2), "--print", "%(id)s|%(duration)s", channel) + ids = [] + for line in out.stdout.splitlines(): + vid, _, dur = line.partition("|") + if dur not in ("NA", "") and float(dur) >= 120: + ids.append(vid) + return ids[:n] + + +def download(video_id: str) -> None: + vdir = VIDEOS_DIR / video_id + vdir.mkdir(parents=True, exist_ok=True) + url = f"https://www.youtube.com/watch?v={video_id}" + if not (vdir / "video.mp4").exists(): + r = ytdlp("-f", FORMAT, "--merge-output-format", "mp4", "--write-info-json", + "--write-thumbnail", "--convert-thumbnails", "jpg", + "-o", str(vdir / "video.%(ext)s"), url) + if r.returncode != 0: + raise RuntimeError(f"yt-dlp failed for {video_id}: {r.stderr[-500:]}") + if not list(vdir.glob("captions*.vtt")): + # Creator-uploaded captions only (much cleaner than auto-captions). Requesting a single + # language with a sleep avoids the HTTP 429s that multi-language subtitle requests trigger. + ytdlp("--skip-download", "--write-subs", "--sub-langs", "en-US,en-GB,en", + "--sub-format", "vtt", "--sleep-subtitles", "3", + "-o", str(vdir / "captions.%(ext)s"), url) + info_path = vdir / "video.info.json" + if info_path.exists(): + # The raw info.json is ~10MB of format tables; keep only what the app shows. + info = json.loads(info_path.read_text()) + meta = {k: info.get(k) for k in META_KEYS} + (vdir / "meta.json").write_text(json.dumps(meta, indent=2)) + info_path.unlink() + + +def run(n: int = NUM_VIDEOS) -> list[str]: + ids = list_latest(n) + console.print(f"[bold]Downloading {len(ids)} videos[/bold] from {CHANNEL_URL}") + for i, vid in enumerate(ids, 1): + download(vid) + caps = list((VIDEOS_DIR / vid).glob("captions*.vtt")) + title = json.loads((VIDEOS_DIR / vid / "meta.json").read_text())["title"] + console.print(f" [{i}/{len(ids)}] {vid} {title} captions={'yes' if caps else '[red]no[/red]'}") + return ids diff --git a/vrag/egress.py b/vrag/egress.py new file mode 100644 index 0000000000000000000000000000000000000000..83d1482f623bbeaeb135cf7ffcad25890a003439 --- /dev/null +++ b/vrag/egress.py @@ -0,0 +1,52 @@ +"""Resolve public destinations at connect time, preserving TLS hostname checks. + +Direct HTTPS connects to a validated literal IP (Host and TLS SNI stay original). +A configured environment proxy remains the sole outbound path; its administrator +must also enforce public-only destination resolution inside that proxy. +""" +import asyncio +import ipaddress +import socket +from urllib.request import getproxies, proxy_bypass + +import httpx + +async def public_addresses(host: str, timeout: float = 5): + records = await asyncio.wait_for( + asyncio.to_thread(socket.getaddrinfo, host, 443, type=socket.SOCK_STREAM), timeout) + addresses = list(dict.fromkeys(record[4][0] for record in records)) + if not addresses or any(not ipaddress.ip_address(address).is_global for address in addresses): + raise ValueError('non-public destination') + return addresses + +class PublicAddressTransport(httpx.AsyncBaseTransport): + def __init__(self, inner=None): + self.inner = inner or httpx.AsyncHTTPTransport(trust_env=True) + + async def handle_async_request(self, request): + host = request.url.host + try: + addresses = await public_addresses(host) + except TimeoutError: + raise httpx.ConnectTimeout('destination lookup timed out') from None + except (OSError, ValueError): + raise httpx.ConnectError('destination denied') from None + request.headers['Host'] = host + request.extensions['sni_hostname'] = host + request.url = request.url.copy_with(host=addresses[0]) + return await self.inner.handle_async_request(request) + + async def aclose(self): + await self.inner.aclose() + +def proxy_for(base: str): + host = httpx.URL(base).host + proxies = getproxies() + return None if proxy_bypass(host) else proxies.get('https', proxies.get('all')) + +def transport_for(base: str): + proxy = proxy_for(base) + if proxy: + # Keep injected authentication and the trusted platform egress path. + return httpx.AsyncHTTPTransport(proxy=proxy, trust_env=True) + return PublicAddressTransport() diff --git a/vrag/embed.py b/vrag/embed.py new file mode 100644 index 0000000000000000000000000000000000000000..b19a325ac65a3170b3e050ea373e40d10644d990 --- /dev/null +++ b/vrag/embed.py @@ -0,0 +1,50 @@ +"""Embed every segment under every view and write data/index/.npy (N x 768, float32, unit-norm).""" + +import json +import time +from datetime import datetime, timezone + +import numpy as np +from rich.console import Console + +from .config import EMBED_MODEL, INDEX_DIR, VIEWS +from .embedder import encode_view +from .segment import transcript_engine + +console = Console() + +BATCH = {"text": 32, "frame": 16, "audio": 16, "video": 4, "fused": 4} + + +def run(views: list[str] | None = None, force: bool = False) -> None: + segs = json.loads((INDEX_DIR / "segments.json").read_text()) + manifest_path = INDEX_DIR / "manifest.json" + manifest = json.loads(manifest_path.read_text()) if manifest_path.exists() else {"views": {}} + for view in views or list(VIEWS): + out = INDEX_DIR / f"{view}.npy" + if out.exists() and not force and np.load(out).shape[0] == len(segs): + console.print(f" {view}: cached") + continue + console.print(f"[bold]Embedding view '{view}'[/bold] for {len(segs)} segments") + t0 = time.time() + embs = encode_view(view, segs, BATCH[view]) + elapsed = time.time() - t0 + if not np.isfinite(embs).all(): + raise RuntimeError(f"non-finite embeddings in view {view}") + np.save(out, embs) + manifest["views"][view] = { + "description": VIEWS[view], + "count": int(embs.shape[0]), + "dim": int(embs.shape[1]), + "seconds": round(elapsed, 1), + "ms_per_segment": round(1000 * elapsed / len(segs), 1), + } + console.print(f" {view}: {embs.shape} in {elapsed:.0f}s") + manifest.update({ + "model": EMBED_MODEL, + "segments": len(segs), + "videos": len({s["video_id"] for s in segs}), + "transcripts": transcript_engine(), + "built_at": datetime.now(timezone.utc).isoformat(timespec="seconds"), + }) + manifest_path.write_text(json.dumps(manifest, indent=2)) diff --git a/vrag/embedder.py b/vrag/embedder.py new file mode 100644 index 0000000000000000000000000000000000000000..be66d02aa6faa6c595876abce5fd3a13c19e3198 --- /dev/null +++ b/vrag/embedder.py @@ -0,0 +1,55 @@ +"""EmbeddingGemma 2 wrapper: one model instance, prompt conventions, and the per-view corpus inputs.""" + +import numpy as np +import torch + +from .config import EMBED_MODEL +from .segment import media_paths + +_model = None + + +def get_model(): + global _model + if _model is None: + from sentence_transformers import SentenceTransformer + + # bf16, never fp16: the model card warns fp16 silently produces NaN / degraded embeddings. + dtype = torch.bfloat16 if torch.cuda.is_bf16_supported() else torch.float32 + _model = SentenceTransformer(EMBED_MODEL, device="cuda", model_kwargs={"torch_dtype": dtype}) + return _model + + +def doc_text(seg: dict) -> str: + return f"title: {seg['title']} | text: {seg['text']}" + + +def view_input(view: str, seg: dict): + """The model input for one segment under one view. Media inputs take no task prefix.""" + m = media_paths(seg) + if view == "text": + return doc_text(seg) + if view == "frame": + return {"image": str(m["frame"])} + if view == "video": + return {"video": str(m["clip"])} + if view == "audio": + return {"audio": str(m["audio"])} + if view == "fused": + return {"text": f"{doc_text(seg)} <|video|> <|audio|>", "video": str(m["clip"]), "audio": str(m["audio"])} + raise ValueError(f"unknown view {view!r}") + + +def encode_query(query: str) -> np.ndarray: + """Full 768d, unit-norm. Truncation to smaller MRL dims happens at search time.""" + return get_model().encode(query, prompt_name="SearchQuery", convert_to_numpy=True).astype(np.float32) + + +def encode_image_query(path: str) -> np.ndarray: + return get_model().encode({"image": path}, convert_to_numpy=True).astype(np.float32) + + +def encode_view(view: str, segs: list[dict], batch_size: int) -> np.ndarray: + inputs = [view_input(view, s) for s in segs] + embs = get_model().encode(inputs, batch_size=batch_size, convert_to_numpy=True, show_progress_bar=True) + return embs.astype(np.float32) diff --git a/vrag/evalset.py b/vrag/evalset.py new file mode 100644 index 0000000000000000000000000000000000000000..8baa52c6a6c0289bf82302dcec745c3a75bd9526 --- /dev/null +++ b/vrag/evalset.py @@ -0,0 +1,109 @@ +"""Build a retrieval eval set: Gemma 4 watches sampled segments and writes search queries for them. + +Two query types per segment, because they stress different embedding views: + spoken - what someone would search for to find what Sam *says* here + visual - something only *shown* on screen (slide text, UI, code, chart), not said aloud +Hand-written queries can be added to data/eval/manual.jsonl as {"query", "segment_id", "type"}. +""" + +import json +import random +from concurrent.futures import ThreadPoolExecutor + +from rich.console import Console +from rich.progress import track + +from .config import EVAL_DIR, GEN_MODEL, INDEX_DIR +from .rag import client, fmt_ts +from .segment import media_paths + +console = Console() + +PER_VIDEO = 8 + +PROMPT = """You are helping build a search benchmark for a video library of AI/ML YouTube videos. +Below is one ~30 second clip: its transcript and its video frames. + +Write two search queries that a viewer might type to find THIS specific moment again: +1. "spoken": a query about something specific Sam SAYS in this clip. Paraphrase rather than copying + phrases verbatim. It must be specific to this clip, not a generic topic of the whole video. +2. "visual": a query about something specific that is SHOWN on screen in the frames but is NOT said + in the transcript (e.g. text on a slide, a UI or website, a code snippet, a chart, a demo output, a person or object). + Describe it the way a viewer remembers it ("the slide with the comparison table of ..."). Use null if + the frames show nothing distinctive beyond a talking head. + +Video title (do not repeat it verbatim in the queries): "{title}" +Clip time: {start}-{end} +Transcript: {text} + +Return JSON: {{"spoken": "...", "visual": "..." or null, "visual_evidence": "what on screen the visual query refers to"}}""" + +SCHEMA = { + "type": "object", + "properties": { + "spoken": {"type": "string"}, + "visual": {"type": ["string", "null"]}, + "visual_evidence": {"type": ["string", "null"]}, + }, + "required": ["spoken", "visual", "visual_evidence"], +} + + +def sample_segments(segments: list[dict], per_video: int, seed: int = 0) -> list[dict]: + """Evenly spaced segments per video, skipping the intro and outro which are generic.""" + rng = random.Random(seed) + by_video: dict[str, list[dict]] = {} + for s in segments: + by_video.setdefault(s["video_id"], []).append(s) + picked = [] + for segs in by_video.values(): + inner = segs[1:-1] or segs + if len(inner) <= per_video: + picked += inner + continue + step = len(inner) / per_video + picked += [inner[min(len(inner) - 1, int(i * step + rng.random() * step))] for i in range(per_video)] + return picked + + +def gen_queries(seg: dict) -> dict: + prompt = PROMPT.format(title=seg["title"], start=fmt_ts(seg["start"]), end=fmt_ts(seg["end"]), text=seg["text"]) + resp = client().chat.completions.create( + model=GEN_MODEL, + messages=[{"role": "user", "content": [ + {"type": "text", "text": prompt}, + {"type": "video_url", "video_url": {"url": f"file://{media_paths(seg)['clip']}"}}, + ]}], + response_format={"type": "json_schema", "json_schema": {"name": "queries", "schema": SCHEMA}}, + max_tokens=400, + temperature=0.7, + ) + return json.loads(resp.choices[0].message.content) + + +def run(per_video: int = PER_VIDEO, workers: int = 8) -> list[dict]: + segments = json.loads((INDEX_DIR / "segments.json").read_text()) + picked = sample_segments(segments, per_video) + console.print(f"[bold]Generating queries[/bold] for {len(picked)} segments with {GEN_MODEL}") + rows = [] + with ThreadPoolExecutor(workers) as pool: + for seg, q in track(zip(picked, pool.map(gen_queries, picked)), total=len(picked)): + rows.append({"query": q["spoken"], "type": "spoken", "segment_id": seg["id"], "video_id": seg["video_id"]}) + if q.get("visual"): + rows.append({"query": q["visual"], "type": "visual", "segment_id": seg["id"], + "video_id": seg["video_id"], "evidence": q.get("visual_evidence")}) + EVAL_DIR.mkdir(parents=True, exist_ok=True) + with (EVAL_DIR / "queries.jsonl").open("w") as f: + for r in rows: + f.write(json.dumps(r) + "\n") + console.print(f" wrote {len(rows)} queries ({sum(r['type'] == 'visual' for r in rows)} visual)") + return rows + + +def load() -> list[dict]: + rows = [] + for name in ("queries.jsonl", "manual.jsonl"): + p = EVAL_DIR / name + if p.exists(): + rows += [{**json.loads(line), "source": name.split(".")[0]} for line in p.read_text().splitlines() if line.strip()] + return rows diff --git a/vrag/experiments.py b/vrag/experiments.py new file mode 100644 index 0000000000000000000000000000000000000000..aa276311afb8d4935a6b82034c76c3cda7eccb46 --- /dev/null +++ b/vrag/experiments.py @@ -0,0 +1,111 @@ +"""Retrieval experiments: every (view x MRL dim) over the eval set, plus per-query ranks for the UI. + +Writes data/experiments/results.json, plus results..json so runs over Whisper vs +Gemma transcripts can be compared side by side. +""" + +import json +import time +from datetime import datetime, timezone + +import numpy as np +from rich.console import Console +from rich.table import Table + +from . import evalset +from .config import DIMS, EMBED_MODEL, EXPERIMENTS_DIR +from .embedder import get_model +from .index import get_index +from .segment import transcript_engine + +console = Console() +KS = (1, 5, 10) + + +def metrics(ranks: list[int], video_top1: list[bool], neighbor_ranks: list[int]) -> dict: + r = np.array(ranks) + nb = np.array(neighbor_ranks) + out = {f"recall@{k}": float((r <= k).mean()) for k in KS} + out["mrr@10"] = float(np.where(r <= 10, 1.0 / r, 0.0).mean()) + out["neighbor_recall@5"] = float((nb <= 5).mean()) + out["video_hit@1"] = float(np.mean(video_top1)) + out["n"] = len(ranks) + return out + + +def run() -> dict: + queries = evalset.load() + idx = get_index() + console.print(f"[bold]Running experiments[/bold]: {len(queries)} queries x {idx.available_views} x {DIMS}") + + t0 = time.time() + qembs = get_model().encode([q["query"] for q in queries], prompt_name="SearchQuery", + batch_size=64, convert_to_numpy=True).astype(np.float32) + query_embed_ms = 1000 * (time.time() - t0) / len(queries) + + seg_pos = {s["id"]: i for i, s in enumerate(idx.segments)} + per_query = [{**q, "ranks": {}} for q in queries] + grid = [] + for view in idx.available_views: + for dim in DIMS: + ranks, video_top1, neighbor = [], [], [] + t1 = time.time() + for qi, (q, qe) in enumerate(zip(queries, qembs)): + order, _ = idx.rank(qe, view, dim) + gold = seg_pos[q["segment_id"]] + rank = int(np.where(order == gold)[0][0]) + 1 + gold_seg = idx.segments[gold] + # Lenient: a hit on the adjacent segment of the same video still lands the viewer in the right spot. + near = [r + 1 for r, i in enumerate(order[:10]) + if idx.segments[i]["video_id"] == gold_seg["video_id"] and abs(idx.segments[i]["idx"] - gold_seg["idx"]) <= 1] + ranks.append(rank) + neighbor.append(near[0] if near else 10**6) + video_top1.append(idx.segments[order[0]]["video_id"] == q["video_id"]) + per_query[qi]["ranks"][f"{view}@{dim}"] = rank + search_ms = 1000 * (time.time() - t1) / len(queries) + for qtype in ("all", "spoken", "visual"): + sel = [i for i, q in enumerate(queries) if qtype == "all" or q["type"] == qtype] + if not sel: + continue + grid.append({ + "view": view, "dim": dim, "query_type": qtype, + **metrics([ranks[i] for i in sel], [video_top1[i] for i in sel], [neighbor[i] for i in sel]), + "search_ms": round(search_ms, 3), + }) + + views_count = len([v for v in idx.available_views if v != "hybrid"]) + result = { + "created_at": datetime.now(timezone.utc).isoformat(timespec="seconds"), + "model": EMBED_MODEL, + "transcripts": transcript_engine(), + "num_segments": len(idx.segments), + "num_queries": len(queries), + "query_types": {t: sum(q["type"] == t for q in queries) for t in ("spoken", "visual")}, + "query_embed_ms": round(query_embed_ms, 2), + "dims": DIMS, + "views": idx.available_views, + "storage": [{"dim": d, "bytes_per_vector": d * 4, "bytes_per_view": idx.storage_bytes(d), + "bytes_all_views": idx.storage_bytes(d) * views_count} for d in DIMS], + "grid": grid, + "per_query": per_query, + } + EXPERIMENTS_DIR.mkdir(parents=True, exist_ok=True) + (EXPERIMENTS_DIR / "results.json").write_text(json.dumps(result, indent=1)) + (EXPERIMENTS_DIR / f"results.{result['transcripts']}.json").write_text(json.dumps(result, indent=1)) + _print(result) + return result + + +def _print(result: dict) -> None: + for qtype in ("all", "spoken", "visual"): + t = Table(title=f"recall@5 / MRR@10 - {qtype} queries") + t.add_column("view") + for d in result["dims"]: + t.add_column(f"{d}d", justify="right") + for view in result["views"]: + cells = [] + for d in result["dims"]: + row = next((g for g in result["grid"] if g["view"] == view and g["dim"] == d and g["query_type"] == qtype), None) + cells.append(f"{row['recall@5']:.2f} / {row['mrr@10']:.2f}" if row else "-") + t.add_row(view, *cells) + console.print(t) diff --git a/vrag/index.py b/vrag/index.py new file mode 100644 index 0000000000000000000000000000000000000000..642921e5bb21bb2971220ee099e63dd7c2aeefe1 --- /dev/null +++ b/vrag/index.py @@ -0,0 +1,105 @@ +"""Brute-force cosine search over the per-view matrices, with Matryoshka truncation at query time. + +Only ~500 segments, so a numpy matmul beats any ANN index here and keeps the MRL comparison exact: +every dim is searched against the same stored 768d vectors, truncated then re-normalised. +""" + +import json +from functools import lru_cache + +import numpy as np + +from .config import DIMS, INDEX_DIR, VIEWS + +HYBRID_VIEWS = ["text", "video", "audio"] +RRF_K = 60 + + +def truncate(x: np.ndarray, dim: int) -> np.ndarray: + """MRL truncation. Re-normalising is required: a sliced unit vector is no longer unit length.""" + x = x[..., :dim] + return x / np.maximum(np.linalg.norm(x, axis=-1, keepdims=True), 1e-12) + + +class Index: + def __init__(self): + base = INDEX_DIR + pointer = base / 'CURRENT' + if pointer.exists(): + revision = pointer.read_text().strip() + if len(revision)!=32 or not all(c in '0123456789abcdef' for c in revision):raise ValueError('invalid index revision') + base = base / 'revisions' / revision + self.path = base + self.segments: list[dict] = json.loads((base / "segments.json").read_text()) if (base / "segments.json").exists() else [] + manifest_path = base / 'manifest.json' + manifest = json.loads(manifest_path.read_text()) if manifest_path.exists() else {} + self.dims = manifest.get('mrl_dims', [manifest['dimension']]) if 'dimension' in manifest else DIMS + self.by_id = {s["id"]: i for i, s in enumerate(self.segments)} + self.views = {v: np.load(base / f"{v}.npy", mmap_mode="r", allow_pickle=False) for v in VIEWS if (base / f"{v}.npy").exists()} + for matrix in self.views.values(): + if (matrix.ndim != 2 or matrix.shape[0] != len(self.segments) + or matrix.dtype.kind != 'f' or matrix.nbytes > 512 * 1024 * 1024 + or not 1 <= matrix.shape[1] <= 16384 + or ('dimension' in manifest and matrix.shape[1] != manifest['dimension']) + or any(d < 1 or d > matrix.shape[1] for d in self.dims)): + raise ValueError('invalid_index_shape_or_dimensions') + for offset in range(0, len(matrix), 1024): + block=matrix[offset:offset+1024] + if not np.isfinite(block).all() or (np.linalg.norm(block,axis=1)==0).any(): + raise ValueError('invalid_index_vectors') + self._trunc = {} + + @property + def available_views(self) -> list[str]: + vs = list(self.views) + if all(v in self.views for v in HYBRID_VIEWS): + vs.append("hybrid") + return vs + + def matrix(self, view: str, dim: int) -> np.ndarray: + key = (view, dim) + if key not in self._trunc: + self._trunc[key] = truncate(self.views[view], dim) + return self._trunc[key] + + def scores(self, q: np.ndarray, view: str, dim: int) -> np.ndarray: + return self.matrix(view, dim) @ truncate(q, dim) + + def rank(self, q: np.ndarray, view: str, dim: int, mask: np.ndarray | None = None) -> tuple[np.ndarray, np.ndarray]: + """Full ranking (indices, scores). 'hybrid' fuses text/video/audio rankings with reciprocal rank fusion.""" + if view == "hybrid": + fused = np.zeros(len(self.segments)) + for v in HYBRID_VIEWS: + order = np.argsort(-self.scores(q, v, dim)) + fused[order] += 1.0 / (RRF_K + np.arange(1, len(order) + 1)) + s = fused + else: + s = self.scores(q, view, dim) + if mask is not None: + s = np.where(mask, s, -np.inf) + order = np.argsort(-s) + return order, s[order] + + def search(self, q: np.ndarray, view: str = "fused", dim: int = 768, k: int = 10, + video_id: str | None = None) -> list[dict]: + mask = None + if video_id: + mask = np.array([s["video_id"] == video_id for s in self.segments]) + order, scores = self.rank(q, view, dim, mask) + return [{**self.segments[i], "score": float(sc), "rank": r + 1} + for r, (i, sc) in enumerate(zip(order[:k], scores[:k])) if np.isfinite(sc)] + + def storage_bytes(self, dim: int, dtype_bytes: int = 4) -> int: + return len(self.segments) * dim * dtype_bytes + + +@lru_cache(maxsize=1) +def get_index() -> Index: + try: + return Index() + except (ValueError, OSError, KeyError, TypeError): + from .providers import ProviderFailure + raise ProviderFailure('index_invalid_or_incompatible') from None + + +__all__ = ["Index", "get_index", "truncate", "DIMS"] diff --git a/vrag/ingest.py b/vrag/ingest.py new file mode 100644 index 0000000000000000000000000000000000000000..a75fbad2ba8db76a9c0d8eeefc198a448ee4f2f2 --- /dev/null +++ b/vrag/ingest.py @@ -0,0 +1,141 @@ +"""Ingest local video files (e.g. the creator's own exports) into data/videos//. + +Each file is matched to its YouTube upload by duration (exports and uploads agree to within a +second or two), which recovers the real title / video ID / view count without downloading +anything. Unmatched files still ingest, keyed by a slug of the filename. +""" + +import json +import re +import subprocess +import sys +from pathlib import Path + +from rich.console import Console + +from .config import CHANNEL_URL, DATA, ROOT, VIDEOS_DIR + +console = Console() + +SOURCE_DIR = ROOT / "sams-videos" +VIDEO_EXTS = {".mp4", ".mov", ".mkv", ".webm", ".m4v"} +CHANNEL_CACHE = DATA / "channel.json" +# YouTube reports the duration rounded *up* to whole seconds, so an export of 808.91s lists as 809. +# Accept uploads whose listed duration is 0-1.2s above the file's; nearest-duration matching with a +# symmetric tolerance produced false matches between videos only a second or two apart. +MATCH_WINDOW_S = (-0.3, 1.2) + + +def channel_listing(refresh: bool = False, limit: int = 60) -> list[dict]: + """Flat channel listing (id/title/duration/views). Uses the playlist endpoint, which still + works when per-video pages are bot-blocked. Cached to data/channel.json.""" + if CHANNEL_CACHE.exists() and not refresh: + return json.loads(CHANNEL_CACHE.read_text()) + out = subprocess.run( + [sys.executable, "-m", "yt_dlp", "--flat-playlist", "--playlist-end", str(limit), "--dump-json", CHANNEL_URL], + capture_output=True, text=True, + ) + rows = [] + for line in out.stdout.splitlines(): + d = json.loads(line) + thumbs = d.get("thumbnails") or [] + rows.append({ + "id": d["id"], + "title": d.get("title"), + "duration": d.get("duration"), + "view_count": d.get("view_count"), + "channel_position": d.get("playlist_index"), + "thumbnail_url": thumbs[-1]["url"] if thumbs else None, + "webpage_url": f"https://www.youtube.com/watch?v={d['id']}", + }) + if rows: + CHANNEL_CACHE.parent.mkdir(parents=True, exist_ok=True) + CHANNEL_CACHE.write_text(json.dumps(rows, indent=2)) + return rows + + +def probe_duration(path: Path) -> float: + out = subprocess.run( + ["ffprobe", "-v", "error", "-show_entries", "format=duration", "-of", "csv=p=0", str(path)], + capture_output=True, text=True, check=True, + ) + return float(out.stdout.strip()) + + +def slugify(name: str) -> str: + return re.sub(r"[^a-z0-9]+", "-", name.lower()).strip("-")[:60] + + +def match_upload(duration: float, listing: list[dict], taken: set[str]) -> dict | None: + lo, hi = MATCH_WINDOW_S + cands = [r for r in listing if r.get("duration") and r["id"] not in taken and lo <= r["duration"] - duration <= hi] + return min(cands, key=lambda r: abs(r["duration"] - duration - 0.5), default=None) + + +def clean_title(stem: str) -> str: + """Readable fallback title for files without a matching upload: drop export suffixes.""" + t = re.sub(r"(_processed|\(\d+\)|^final\s*-?\s*)", " ", stem, flags=re.I) + t = re.sub(r"[_-]+", " ", t) + return " ".join(t.split()).strip().capitalize() if t.islower() else " ".join(t.split()).strip() + + +def transcode(src: Path, dst: Path) -> None: + """480p H.264 proxy with faststart so the browser can seek it. Frame embeddings sample at 1fps, + so the source's 60fps / 1080p only costs disk and decode time.""" + tmp = dst.with_suffix(".tmp.mp4") + subprocess.run( + ["ffmpeg", "-loglevel", "error", "-y", "-i", str(src), + "-vf", "scale=-2:480", "-r", "30", + "-c:v", "h264_nvenc", "-preset", "p5", "-cq", "28", + "-c:a", "aac", "-b:a", "96k", "-ac", "1", + "-movflags", "+faststart", str(tmp)], + check=True, + ) + tmp.rename(dst) + + +def ingest_file(src: Path, listing: list[dict], taken: set[str]) -> str: + duration = probe_duration(src) + upload = match_upload(duration, listing, taken) + vid = upload["id"] if upload else slugify(src.stem) + vdir = VIDEOS_DIR / vid + vdir.mkdir(parents=True, exist_ok=True) + + if not (vdir / "video.mp4").exists(): + transcode(src, vdir / "video.mp4") + if not (vdir / "thumb.jpg").exists(): + subprocess.run( + ["ffmpeg", "-loglevel", "error", "-y", "-ss", str(min(30.0, duration / 10)), "-i", str(vdir / "video.mp4"), + "-frames:v", "1", "-q:v", "3", str(vdir / "thumb.jpg")], + check=True, + ) + + meta = { + "id": vid, + "title": upload["title"] if upload else clean_title(src.stem), + "duration": round(duration, 2), + "source_file": src.name, + "youtube_id": upload["id"] if upload else None, + "webpage_url": upload["webpage_url"] if upload else None, + "view_count": upload.get("view_count") if upload else None, + "channel_position": upload.get("channel_position") if upload else None, + } + meta_path = vdir / "meta.json" + if meta_path.exists(): + meta = {**json.loads(meta_path.read_text()), **meta} + meta_path.write_text(json.dumps(meta, indent=2)) + return vid + + +def run(source_dir: Path = SOURCE_DIR) -> list[str]: + listing = channel_listing() + files = sorted(p for p in source_dir.iterdir() if p.suffix.lower() in VIDEO_EXTS) + console.print(f"[bold]Ingesting {len(files)} files[/bold] from {source_dir} ({len(listing)} channel uploads to match)") + ids: list[str] = [] + for i, f in enumerate(files, 1): + vid = ingest_file(f, listing, set(ids)) + meta = json.loads((VIDEOS_DIR / vid / "meta.json").read_text()) + tag = "[green]matched[/green]" if meta["youtube_id"] else "[yellow]unmatched[/yellow]" + console.print(f" [{i}/{len(files)}] {f.name} -> {vid} {tag} {meta['title']}") + ids.append(vid) + return ids diff --git a/vrag/jobs.py b/vrag/jobs.py new file mode 100644 index 0000000000000000000000000000000000000000..a42ef1d1c268e47a98f3dda4b41de8f9f7a2243f --- /dev/null +++ b/vrag/jobs.py @@ -0,0 +1,213 @@ +"""Persistent, single-worker media queue. No local inference; staged resumable work.""" +import asyncio +import hashlib +import json +import math +import os +from pathlib import Path +import shutil +import sqlite3 +import time +import uuid + +import numpy as np +from fastapi import APIRouter, Depends, HTTPException, Query, Request +from pydantic import BaseModel, Field +from .config import DATA, VIDEOS_DIR, INDEX_DIR +from .mentor_api import user +from .providers import ProviderFailure +from .routing import route +from .settings import store +from .remote import space_id + +router=APIRouter(prefix='/api') +MAX_UPLOAD=64*1024*1024 +MAX_DURATION=1800 +upload_slots=asyncio.Semaphore(2) + +def connect(): + DATA.mkdir(parents=True,exist_ok=True) + db=sqlite3.connect(DATA/'jobs.sqlite',timeout=10) + db.row_factory=sqlite3.Row + db.execute('PRAGMA journal_mode=WAL') + db.execute('CREATE TABLE IF NOT EXISTS jobs (id TEXT PRIMARY KEY, video_id TEXT, title TEXT, status TEXT, stage TEXT, error TEXT, created REAL, updated REAL, attempts INTEGER DEFAULT 0, transcript TEXT)') + return db + +def update(jid, **values): + values['updated']=time.time() + with connect() as db: + db.execute('UPDATE jobs SET '+','.join(f'{k}=?' for k in values)+' WHERE id=?', [*values.values(),jid]) + +def listing(): + with connect() as db:return [dict(r) for r in db.execute('SELECT id,video_id,title,status,stage,error,created,updated,attempts FROM jobs ORDER BY created DESC LIMIT 100')] + +def check_cancel(jid): + with connect() as db:row=db.execute('SELECT status FROM jobs WHERE id=?',(jid,)).fetchone() + if not row or row['status']=='cancelled':raise asyncio.CancelledError() + +async def command(*args, timeout=180): + proc=await asyncio.create_subprocess_exec(*map(str,args),stdout=asyncio.subprocess.PIPE,stderr=asyncio.subprocess.PIPE) + try: + out,err=await asyncio.wait_for(proc.communicate(),timeout) + if proc.returncode:raise ProviderFailure('media_processing_failed') + return out + finally: + if proc.returncode is None: + proc.kill();await proc.wait() + +async def run_job(job): + jid,vid=job['id'],job['video_id'];vdir=VIDEOS_DIR/vid + check_cancel(jid) + update(jid,status='running',stage='probe',error=None,attempts=job['attempts']+1) + probe=json.loads(await command('ffprobe','-v','error','-show_format','-show_streams','-of','json',vdir/'original',timeout=20)) + duration=float(probe['format']['duration']) + if not math.isfinite(duration) or not 0start) + segments.append(dict(id=f'{vid}_{idx:03d}',video_id=vid,title=job['title'],idx=idx,start=start,end=end,text=text)) + await command('ffmpeg','-hide_banner','-loglevel','error','-nostdin','-ss',min(start+1,duration/2),'-i',vdir/'video.mp4','-frames:v','1','-threads','1','-y',vdir/'segments'/f'{idx:03d}.jpg') + (vdir/'segments.json').write_text(json.dumps(segments)) + update(jid,stage='embeddings') + # Rebuild a complete, separate revision. Atomic CURRENT pointer avoids mixed vectors. + rule=cfg.features.get('rag.text_embeddings') + if not rule or not rule.enabled or rule.strategy!='single':raise ProviderFailure('embedding_provider_unavailable') + provider=cfg.providers[rule.providers[0]] + corpus=[] + for source in sorted(VIDEOS_DIR.glob('*/segments.json')):corpus.extend(json.loads(source.read_text())) + if len(corpus)>10000:raise ProviderFailure('corpus_limit_10000_segments') + from .index import get_index + previous=get_index() + previous_manifest=previous.path/'manifest.json' + reusable={} + if previous_manifest.exists() and json.loads(previous_manifest.read_text()).get('embedding_space')==space_id(provider) and 'text' in previous.views: + reusable={s['id']:(s,previous.views['text'][i].tolist()) for i,s in enumerate(previous.segments)} + vectors=[] + for seg in corpus: + check_cancel(jid) + old=reusable.get(seg['id']) + if old and all(old[0].get(k)==seg.get(k) for k in ('title','text','start','end')): + vectors.append(old[1]);continue + out,status=await route(cfg,'rag.text_embeddings',{'text':f'title: {seg["title"]} | text: {seg["text"]}'}) + if not out.embedding:raise ProviderFailure(status[-1]['status'] if status else 'embedding_provider_unavailable') + vectors.append(out.embedding) + matrix=np.asarray(vectors,dtype=np.float32) + if matrix.ndim!=2 or not np.isfinite(matrix).all() or (np.linalg.norm(matrix,axis=1)==0).any():raise ProviderFailure('invalid_embedding_matrix') + matrix/=np.linalg.norm(matrix,axis=1,keepdims=True) + revision=uuid.uuid4().hex + output=INDEX_DIR/'revisions'/revision;output.mkdir(parents=True) + np.save(output/'text.npy',matrix) + (output/'segments.json').write_text(json.dumps(corpus)) + manifest=dict(model=provider.model,embedding_space=space_id(provider),dimension=matrix.shape[1],mrl_dims=[matrix.shape[1]],views={'text':{'count':len(corpus)}},segments=len(corpus),corpus_revision=revision,preprocessing='title-text-v1',segmentation='30s-v1',modality='text',built_at=time.time()) + (output/'manifest.json').write_text(json.dumps(manifest)) + check_cancel(jid) + if store.snapshot()[1].providers.get(rule.providers[0])!=provider:raise ProviderFailure('provider_changed_retry_required') + pointer=INDEX_DIR/'.CURRENT.tmp';pointer.write_text(revision);os.replace(pointer,INDEX_DIR/'CURRENT') + from .index import get_index + get_index.cache_clear() + update(jid,status='complete',stage='searchable',error=None) + +async def worker(): + with connect() as db:db.execute("UPDATE jobs SET status='queued' WHERE status='running'") + while True: + with connect() as db:job=db.execute("SELECT * FROM jobs WHERE status='queued' ORDER BY created LIMIT 1").fetchone() + if job: + try: + from .backup.github import state_lock + async with state_lock: + await run_job(dict(job)) + from .backup.service import queue + queue.request() + except asyncio.CancelledError: + # Shutdown preserves retryable queue state; user cancellation is durable. + check=False + with connect() as db:check=db.execute('SELECT status FROM jobs WHERE id=?',(job['id'],)).fetchone()[0]=='cancelled' + if not check:raise + except ProviderFailure as exc:update(job['id'],status='blocked',error=exc.code) + except Exception:update(job['id'],status='failed',error='job_failed_check_media_and_configuration') + await asyncio.sleep(0.5) + +@router.get('/jobs') +def jobs(owner=Depends(user)):return listing() + +@router.post('/ingest') +async def upload(request:Request,filename:str=Query('Upload',max_length=200),owner=Depends(user)): + if upload_slots.locked():raise HTTPException(429,'two uploads already in progress') + async with upload_slots: + from .backup.github import state_lock + async with state_lock: + result = await _upload(request,filename) + from .backup.service import queue + queue.request() + return result + +async def _upload(request,filename): + if sum(j['status'] in ('queued','running') for j in listing())>=10:raise HTTPException(429,'queue full') + if shutil.disk_usage(DATA).freeMAX_UPLOAD:raise HTTPException(413,'upload exceeds 64 MiB') + out.write(chunk);digest.update(chunk) + if not size:raise HTTPException(422,'empty video') + if sum(j['status'] in ('queued','running') for j in listing())>=10:raise HTTPException(429,'queue full') + vid='upload-'+digest.hexdigest()[:24] + vdir=VIDEOS_DIR/vid;vdir.mkdir(parents=True,exist_ok=True) + with connect() as db:existing=db.execute('SELECT id FROM jobs WHERE video_id=?',(vid,)).fetchone() + if existing:return {'id':existing['id'],'deduplicated':True} + os.replace(temp,vdir/'original') + now=time.time() + with connect() as db:db.execute('INSERT INTO jobs (id,video_id,title,status,stage,created,updated) VALUES (?,?,?,?,?,?,?)',(jid,vid,filename,'queued','upload',now,now)) + return {'id':jid,'video_id':vid,'status':'queued'} + except TimeoutError:raise HTTPException(408,'upload timeout') from None + finally:temp.unlink(missing_ok=True) + +class JobAction(BaseModel): + action:str=Field(pattern='^(retry|cancel)$') + transcript:str|None=Field(default=None,max_length=64000) + +@router.post('/jobs/{jid}') +def action(jid:str,body:JobAction,owner=Depends(user)): + job=next((j for j in listing() if j['id']==jid),None) + if not job:raise HTTPException(404,'unknown job') + if body.action=='retry' and job['status'] not in ('blocked','failed','cancelled'):raise HTTPException(409,'job is already active or complete') + values={'status':'queued' if body.action=='retry' else 'cancelled','error':None} + if body.transcript is not None:values['transcript']=body.transcript + update(jid,**values) + return {'status':values['status']} diff --git a/vrag/mentor_api.py b/vrag/mentor_api.py new file mode 100644 index 0000000000000000000000000000000000000000..b73fa486c148ea7953f4576eaea29f8af8c1e32b --- /dev/null +++ b/vrag/mentor_api.py @@ -0,0 +1,442 @@ +"""Versioned configuration and live contracts; raw media is processed in memory only.""" +import asyncio +import base64 +from collections import deque +from datetime import datetime, timezone +import hashlib +import hmac +import io +import os +import secrets +import time +import uuid + +from fastapi import APIRouter, Depends, Header, HTTPException, Request +from fastapi.responses import Response +from PIL import Image, UnidentifiedImageError +from pydantic import Field, ValidationError +import yaml + +from config.schema import Strict, parse_yaml +from .providers import Decision, Detection, ProviderFailure, destination +from .routing import route +from .settings import store + +router = APIRouter() + +def auth(request: Request, admin=False): + expected = os.environ.get('VM_ADMIN_TOKEN' if admin else 'VM_USER_TOKEN', '') + value = request.headers.get('authorization', '') + if not value and not admin and request.method in ('GET','HEAD') and request.url.path.startswith('/media/'): + value = 'Bearer ' + request.cookies.get('vm-media','') + if not expected or len(expected) < 24 or not hmac.compare_digest(value.encode('utf-8'), ('Bearer ' + expected).encode('utf-8')): + raise HTTPException(401, 'configure a server token (at least 24 characters) and authenticate') + # Bearer authorization avoids ambient-cookie CSRF. Also reject cross-origin browser requests. + origin = request.headers.get('origin') + if origin: + allowed = set(filter(None, os.environ.get('VM_ALLOWED_ORIGINS', '').split(','))) + forwarded = request.headers.get('x-forwarded-host') if request.client and request.client.host in ('127.0.0.1', '::1', 'testclient') else None + host = forwarded or request.headers.get('host', '') + if (allowed and origin not in allowed) or (not allowed and origin not in ('https://' + host, 'http://' + host)): + raise HTTPException(403, 'origin denied') + return hashlib.sha256(value.encode()).hexdigest() + +def admin(request: Request): + return auth(request, True) + +def user(request: Request): + return auth(request) + +class ConfigInput(Strict): + yaml: str = Field(max_length=65536) + expected_version: int = Field(default=1, ge=1) + +class Rollback(Strict): + version: int = Field(ge=1) + expected_version: int = Field(ge=1) + +class DryRunInput(Strict): + feature: str = Field(min_length=1, max_length=100) + camera_id: str = Field(default="camera1", pattern="^camera[12]$") + +class SessionInput(Strict): + consent: bool + +class FrameInput(Strict): + camera_id: str = Field(pattern='^camera[12]$') + frame_id: int = Field(ge=0, le=9007199254740991) + captured_at: float = Field(ge=0, allow_inf_nan=False) + image: str = Field(max_length=1500000) + feature: str = Field(min_length=1, max_length=100) + config_version: int = Field(ge=1) + request_id: str = Field(max_length=100) + +class ProviderStatus(Strict): + provider: str + status: str + latency_ms: int + +class Observation(Strict): + session_id: str + camera_id: str + frame_id: int + captured_at: float + request_id: str + config_version: int + observed_at: datetime + source_width: int + source_height: int + detections: list[Detection] + decisions: list[Decision] + provider_results: list[ProviderStatus] + warnings: list[str] + +class AudioInput(Strict): + audio: str = Field(max_length=2800000) + duration_ms: int = Field(ge=1, le=15000) + +class Session: + def __init__(self, owner): + self.owner = owner + self.expiry = time.monotonic() + 1800 + self.last = {} + self.busy = set() + self.rate = {} + self.events = deque(maxlen=20) + self.task = {'goal':'', 'step':'Observe', 'completed':False} + self.last_transcript = '' + self.overrides = {} + self.routing_revision = 0 + +sessions = {} + +def reap_sessions(): + now = time.monotonic() + for sid in list(sessions): + if sessions[sid].expiry <= now: + del sessions[sid] + +async def session_cleanup(): + while True: + reap_sessions() + await asyncio.sleep(30) + +def session_for(sid, owner): + reap_sessions() + s = sessions.get(sid) + if not s or s.owner != owner: + raise HTTPException(404, 'session expired or unavailable') + return s + +@router.get('/api/health') +def health(): + return {'status': 'ok', 'api_version': 1, 'inference': 'remote-only', 'config_version': store.version, + 'configuration': 'state-directory-configured' if store.path else 'read-only-defaults', + 'providers_configured': len(store.history[-1].providers), 'sessions': 'ephemeral'} + +def provider_host(p): + from urllib.parse import urlsplit + try: + return urlsplit(os.environ.get(p.base_url_env, '')).hostname + except ValueError: + return None + +@router.get('/api/providers') +def providers(owner=Depends(user)): + version, cfg = store.snapshot() + return {'config_version': version, 'providers': {k: {'label': p.label, 'adapter': p.adapter, 'model': p.model, + 'capabilities': p.capabilities, 'trust': p.trust, 'credential_present': bool(os.environ.get(p.api_key_secret, '')) if p.api_key_secret else True, + 'destination': provider_host(p), + 'protocol_verified': True, 'live_status': 'not_checked'} for k,p in cfg.providers.items()}, + 'features': {k: v.model_dump() for k,v in cfg.features.items()}} + +@router.get('/api/config') +def get_config(owner=Depends(admin)): + version, cfg = store.snapshot() + return {'config_version': version, 'yaml': yaml.safe_dump(cfg.model_dump(), sort_keys=False), + 'history': list(range(1, version+1)), 'writable': bool(store.path), 'config':cfg.model_dump(), + 'destinations':{k:('https://'+provider_host(p) if provider_host(p) else None) for k,p in cfg.providers.items()}, + 'credentials':{k:bool(os.environ.get(p.api_key_secret,'')) if p.api_key_secret else True for k,p in cfg.providers.items()}} + +@router.get('/api/config/template') +def template(owner=Depends(admin)): + from pathlib import Path + return Response((Path(__file__).parent.parent/'config/examples/disabled.yaml').read_text(), media_type='application/yaml', headers={'Content-Disposition': 'attachment; filename=visual-mentor.yaml'}) + +async def validate(text): + try: + cfg = parse_yaml(text) + except ValidationError as exc: + known = {'version','profile','providers','features','adapter','base_url_env','api_key_secret','model','capabilities','trust','timeout_ms','concurrency','strategy','result_policy','quorum','fusion','enabled','conditions','cameras','privacy','record_video','analysis_fps','width','height'} + errors = ['.'.join(str(k) if k in known else '' for k in e['loc']) + ': ' + e['type'] for e in exc.errors(include_input=False, include_context=False)][:8] + raise HTTPException(422, 'Configuration schema errors: ' + '; '.join(errors)) from None + except Exception: + # Never echo YAML or validation input (it may contain pasted secrets). + raise HTTPException(422, 'Invalid YAML/schema: use unique keys, no aliases, known providers and compatible capabilities; check template') from None + active = {pid for rule in cfg.features.values() if rule.enabled for pid in rule.providers} + for pid in active: + try: + await destination(cfg.providers[pid], False) + except ProviderFailure: + raise HTTPException(422, 'Provider endpoint missing or denied: configure HTTPS public host in VM_ALLOWED_HOSTS and endpoint environment variable') from None + return cfg + +@router.get('/api/config/profiles') +def profiles(owner=Depends(admin)): + from pathlib import Path + directory = Path(__file__).parent.parent/'config/examples' + return {p.stem:p.read_text() for p in directory.glob('*.yaml')} + +@router.post('/api/config/validate') +async def validate_config(body: ConfigInput, owner=Depends(admin)): + cfg = await validate(body.yaml) + old = store.history[-1].model_dump() + new = cfg.model_dump() + return {'valid': True, 'config_version': store.version, 'changed_sections': [k for k in new if new[k] != old[k]], 'profile': cfg.profile} + +@router.post('/api/config/apply') +async def apply_config(body: ConfigInput, owner=Depends(admin)): + cfg = await validate(body.yaml) + try: + version = await store.apply(cfg, body.expected_version) + except ValueError as exc: + raise HTTPException(409, str(exc)) from None + return {'config_version': version, 'profile': cfg.profile} + +@router.post('/api/config/rollback') +async def rollback(body: Rollback, owner=Depends(admin)): + if body.version > len(store.history): + raise HTTPException(404, 'unknown version') + cfg = store.history[body.version-1] + # Endpoints may have changed since this version was saved; validate again. + await validate(yaml.safe_dump(cfg.model_dump())) + try: + version = await store.apply(cfg, body.expected_version) + except ValueError as exc: + raise HTTPException(409, str(exc)) from None + return {'config_version': version, 'restored_version': body.version} + +@router.post('/api/providers/{pid}/test') +async def test_provider(pid: str, owner=Depends(admin)): + from .providers import adapter + _, cfg = store.snapshot() + if pid not in cfg.providers: + raise HTTPException(404, 'unknown provider') + p = cfg.providers[pid] + # Only a synthetic image/text; microphone tests require an explicit bounded clip in a live session. + if p.adapter == 'openai-transcription': + raise HTTPException(409, 'Use an explicitly enabled live audio clip to test transcription') + image = Image.new('RGB', (32,32), 'white') + out = io.BytesIO(); image.save(out, format='JPEG') + payload = {'text': 'Synthetic connection test. Respond with OK.', 'image': 'data:image/jpeg;base64,' + base64.b64encode(out.getvalue()).decode(), 'camera_id': 'test', 'frame_id': 0, 'width':32, 'height':32} + if p.adapter == 'openai-chat-vision' and 'image_understanding' not in p.capabilities: + payload.pop('image') + start = time.monotonic() + await adapter.call(pid, p, payload, False) + return {'provider': pid, 'status':'ok', 'latency_ms': round((time.monotonic()-start)*1000), 'synthetic': True} + +@router.post('/api/routing/dry-run') +async def dry_run(body: DryRunInput, owner=Depends(admin)): + _, cfg = store.snapshot() + f = io.BytesIO(); Image.new('RGB', (32,32), 'white').save(f, format='JPEG') + payload = {'text':'Synthetic routing test; no real camera data.', + 'camera_id':body.camera_id, 'frame_id':0, 'width':32, 'height':32} + if body.feature.startswith('live.'): + payload['image']='data:image/jpeg;base64,' + base64.b64encode(f.getvalue()).decode() + out, statuses = await route(cfg, body.feature, payload, False) + return {'synthetic':True, 'provider_results':statuses, 'detections':[d.model_dump() for d in out.detections], 'decisions':[d.model_dump() for d in out.decisions]} + +async def disconnectable(request, operation): + task = asyncio.create_task(operation) + try: + while not task.done(): + done, _ = await asyncio.wait({task}, timeout=0.25) + if done: + break + if await request.is_disconnected(): + task.cancel() + raise HTTPException(499, 'client disconnected') + return await task + finally: + if not task.done(): + task.cancel() + await asyncio.gather(task, return_exceptions=True) + +@router.post('/api/live/sessions') +async def create_session(body: SessionInput, owner=Depends(user)): + if not body.consent: + raise HTTPException(400, 'explicit transfer consent required') + reap_sessions() + if len(sessions) >= 32 or sum(s.owner == owner for s in sessions.values()) >= 4: + raise HTTPException(429, 'session limit') + sid = secrets.token_urlsafe(24) + sessions[sid] = Session(owner) + return {'session_id': sid, 'config_version': store.version, 'expires_in': 1800, 'retention': 'in-memory observations only'} + +@router.delete('/api/live/sessions/{sid}') +async def delete_session(sid: str, owner=Depends(user)): + session_for(sid, owner) + del sessions[sid] + return {'deleted': True} + +@router.post('/api/live/sessions/{sid}/frames', response_model=Observation) +async def analyze_frame(sid: str, body: FrameInput, request: Request, owner=Depends(user)): + s = session_for(sid, owner) + version, cfg = store.snapshot() + routing_revision=s.routing_revision + if body.feature in s.overrides and s.overrides[body.feature][0]==version: + cfg.features[body.feature]=s.overrides[body.feature][1] + if body.config_version != version: + raise HTTPException(409, 'configuration changed; refresh session routing') + if not body.feature.startswith(f'live.{body.camera_id}.') and body.feature != 'live.visual_decision': + raise HTTPException(422, 'feature must belong to this logical camera') + if body.camera_id in s.busy: + raise HTTPException(429, 'one analysis per camera is already in flight') + if body.frame_id <= s.last.get(body.camera_id, -1): + raise HTTPException(409, 'stale frame') + if time.monotonic() - s.rate.get(body.camera_id, 0) < 0.5: + raise HTTPException(429, 'maximum 2 FPS') + try: + prefix, encoded = body.image.split(',', 1) + if prefix not in ('data:image/jpeg;base64', 'data:image/webp;base64'): + raise ValueError() + raw = base64.b64decode(encoded, validate=True) + with Image.open(io.BytesIO(raw)) as image: + if image.format not in ('JPEG','WEBP') or not (1 <= image.width <= 1920 and 1 <= image.height <= 1080): + raise ValueError() + width, height = image.size + image.verify() + except (ValueError, OSError, UnidentifiedImageError, Image.DecompressionBombError): + raise HTTPException(422, 'invalid or oversized JPEG/WebP image') from None + s.busy.add(body.camera_id) + s.last[body.camera_id] = body.frame_id + s.rate[body.camera_id] = time.monotonic() + received = datetime.now(timezone.utc).isoformat() + try: + out, statuses = await disconnectable(request, route(cfg, body.feature, {**body.model_dump(), 'width':width, 'height':height})) + finally: + s.busy.discard(body.camera_id) + # Deleting a session while an inference request is in flight discards its result. + session_for(sid, owner) + if s.routing_revision!=routing_revision:raise HTTPException(409,'session routing changed; discard observation') + result = {'session_id':sid, 'camera_id':body.camera_id, 'frame_id':body.frame_id, 'captured_at':body.captured_at, + 'request_id':body.request_id, 'config_version':version, 'observed_at':received, + 'source_width':width, 'source_height':height, 'detections':[d.model_dump() for d in out.detections], + 'decisions':[d.model_dump() for d in out.decisions], 'provider_results':statuses, + 'warnings':out.warnings + (['No successful provider result'] if not any(r['status']=='ok' for r in statuses) else [])} + s.events.append(result) + return result + +@router.get('/api/live/sessions/{sid}/events') +async def events(sid: str, owner=Depends(user)): + return list(session_for(sid, owner).events) + +@router.post('/api/live/sessions/{sid}/transcribe') +async def transcribe(sid: str, body: AudioInput, request: Request, owner=Depends(user)): + s = session_for(sid, owner) + if 'audio' in s.busy: + raise HTTPException(429, 'audio request in flight') + if time.monotonic() - s.rate.get('audio', 0) < 2: + raise HTTPException(429, 'audio rate limit') + try: + audio = base64.b64decode(body.audio, validate=True) + if not audio or len(audio) > 2000000 or audio[:4] != b'\x1aE\xdf\xa3': + raise ValueError() + except ValueError: + raise HTTPException(422, 'bounded WebM audio required') from None + _, cfg = store.snapshot() + s.busy.add('audio'); s.rate['audio'] = time.monotonic() + try: + out, statuses = await disconnectable(request, route(cfg, 'audio.transcription', {'audio':audio})) + finally: + s.busy.discard('audio') + session_for(sid, owner) + s.last_transcript = out.text[:8000] + return {'text':out.text, 'provider_results':statuses, 'duration_ms':body.duration_ms} + +@router.post('/api/live/sessions/{sid}/guidance') +async def guidance(sid: str, request: Request, owner=Depends(user)): + s = session_for(sid, owner) + if 'mentor' in s.busy or time.monotonic() - s.rate.get('mentor', 0) < 2: + raise HTTPException(429, 'guidance rate limit') + _, cfg = store.snapshot() + s.busy.add('mentor'); s.rate['mentor'] = time.monotonic() + try: + out, statuses = await disconnectable(request, route(cfg, 'mentor.reasoning', {'text': 'Give cautious next-step guidance from these observations, identify uncertainty. No autonomous actions. ' + str(s.task) + ' Recent speech (untrusted): ' + s.last_transcript + str(list(s.events)[-5:])[:24000]})) + finally: + s.busy.discard('mentor') + session_for(sid, owner) + return {'guidance':out.text, 'provider_results':statuses, 'autonomous':False} + + +class TaskInput(Strict): + goal: str = Field(max_length=1000) + step: str = Field(max_length=500) + completed: bool = False + +@router.put('/api/live/sessions/{sid}/task') +async def task_state(sid: str, body: TaskInput, owner=Depends(user)): + s = session_for(sid, owner) + s.task = body.model_dump() + return {'task':s.task, 'autonomous':False} + +@router.post('/api/access') +def media_access(owner=Depends(user)): + response=Response(status_code=204) + response.set_cookie('vm-media', os.environ['VM_USER_TOKEN'], httponly=True, secure=True, samesite='strict', path='/media', max_age=3600) + return response + +@router.delete('/api/access') +def clear_media_access(): + response=Response(status_code=204) + response.delete_cookie('vm-media',path='/media',secure=True,httponly=True,samesite='strict') + return response + +def backup_coordinator(request: Request): + expected=os.environ.get('VM_BACKUP_TRIGGER_TOKEN','') + value=request.headers.get('x-vm-backup-token','') + if expected and len(expected)>=32 and hmac.compare_digest(value.encode(),expected.encode()): + if request.headers.get('origin'):raise HTTPException(403,'coordinator does not accept browser origins') + return 'backup-coordinator' + return admin(request) + +@router.get('/api/admin/backup-status') +def backup_status(owner=Depends(backup_coordinator)): + from .backup.service import health + return health() + +@router.post('/api/admin/backup') +async def backup_trigger(owner=Depends(backup_coordinator)): + from .backup.service import queue + if not queue.request():raise HTTPException(409,'backup not configured') + return {'accepted':True,'completed':False} + +@router.post('/api/admin/backup/recovery-test') +async def backup_recovery_test(owner=Depends(admin)): + from .backup.service import queue + if not queue.request(recovery=True):raise HTTPException(409,'backup not configured') + return {'accepted':True,'completed':False,'isolated':True} + +class SessionRoutingInput(Strict): + config_version: int = Field(ge=1) + feature: str = Field(pattern=r'^live\.(camera[12]\.[a-zA-Z0-9_.-]+|visual_decision)$',max_length=100) + route: dict + +@router.put('/api/live/sessions/{sid}/routing') +async def session_routing(sid: str,body:SessionRoutingInput,owner=Depends(user)): + from config.schema import Configuration, Route + s=session_for(sid,owner) + version,cfg=store.snapshot() + if body.config_version!=version:raise HTTPException(409,'configuration changed') + if len(s.overrides)>=8 and body.feature not in s.overrides:raise HTTPException(429,'session override limit') + try: + override=Route.model_validate(body.route) + effective=cfg.model_dump() + effective['features'][body.feature]=override.model_dump() + Configuration.model_validate(effective) + except (ValueError,TypeError):raise HTTPException(422,'Invalid session route or provider capabilities') from None + s.overrides[body.feature]=(version,override) + s.routing_revision+=1 + features={k:v.model_dump() for k,v in cfg.features.items()} + features.update({k:rule.model_dump() for k,(v,rule) in s.overrides.items() if v==version}) + return {'config_version':version,'routing_revision':s.routing_revision,'features':features,'persisted':False} diff --git a/vrag/providers.py b/vrag/providers.py new file mode 100644 index 0000000000000000000000000000000000000000..67265c761903361031312849f91f4634fcec76e6 --- /dev/null +++ b/vrag/providers.py @@ -0,0 +1,216 @@ +"""Bounded remote-only adapters. No local models or implicit capability conversion.""" +import asyncio +import json +import ipaddress +import os +from urllib.parse import urlsplit + +import httpx +from pydantic import Field, model_validator +from config.schema import Provider, Strict +from .egress import public_addresses, proxy_for, transport_for + +MAX_RESPONSE = 2 * 1024 * 1024 + +class ProviderFailure(Exception): + def __init__(self, code='provider_error'): + self.code = code + super().__init__(code) + +class Detection(Strict): + detection_id: str = Field(max_length=100) + object_id: str | None = Field(default=None, max_length=100) + label: str = Field(max_length=200) + bbox_xyxy: tuple[float, float, float, float] + confidence: float = Field(ge=0, le=1) + source: str = Field(max_length=100) + @model_validator(mode='after') + def box(self): + x1, y1, x2, y2 = self.bbox_xyxy + if not (0 <= x1 < x2 <= 1 and 0 <= y1 < y2 <= 1): + raise ValueError('invalid normalized box') + return self + +class Decision(Strict): + action: str = Field(default='observe', max_length=200) + reason: str = Field(max_length=8000) + source: str = Field(max_length=100) + +class Output(Strict): + detections: list[Detection] = Field(default_factory=list, max_length=200) + decisions: list[Decision] = Field(default_factory=list, max_length=20) + text: str = Field(default='', max_length=32000) + warnings: list[str] = Field(default_factory=list, max_length=20) + embedding: list[float] | None = Field(default=None, max_length=16384) + +async def destination(p: Provider, sensitive: bool) -> str: + if sensitive and p.trust != 'approved_sensitive': + raise ProviderFailure('destination_denied') + raw = os.environ.get(p.base_url_env, '') + try: + u = urlsplit(raw) + port = u.port + except ValueError: + raise ProviderFailure('destination_denied') from None + allowed = {h.strip().lower() for h in os.environ.get('VM_ALLOWED_HOSTS', '').split(',') if h.strip()} + if u.scheme != 'https' or not u.hostname or u.hostname.lower() not in allowed or u.username or u.password or u.query or u.fragment or port not in (None, 443): + raise ProviderFailure('destination_denied') + try: + literal = ipaddress.ip_address(u.hostname) + except ValueError: + literal = None + if literal is not None and not literal.is_global: + raise ProviderFailure('destination_denied') + try: + await public_addresses(u.hostname, min(5, p.timeout_ms / 1000)) + except (TimeoutError, OSError) as exc: + # Managed environments may provide DNS only inside the trusted proxy. + # Keep the hostname URL/TLS check and injected credentials on that path. + # That proxy must enforce public-only resolution (see security.md). + if not proxy_for(raw): + raise ProviderFailure('timeout' if isinstance(exc, TimeoutError) else 'destination_denied') from None + except ValueError: + raise ProviderFailure('destination_denied') from None + return raw.rstrip('/') + +class Adapter: + def __init__(self, transport=None): + self.transport = transport + self.limits = {} + self.failures = {} + + async def call(self, name: str, p: Provider, payload: dict, sensitive=True) -> Output: + # Recheck trust for every actual call, including fallback and sequential calls. + base = await destination(p, sensitive) + key = os.environ.get(p.api_key_secret, '') if p.api_key_secret else '' + if p.api_key_secret and not key: + raise ProviderFailure('credential_missing') + loop = asyncio.get_running_loop() + identity = (name, base, p.model_dump_json()) + count, until = self.failures.get(identity, (0, 0)) + if until > loop.time(): + raise ProviderFailure('circuit_open') + sem_key = (name, p.concurrency) + sem = self.limits.setdefault(sem_key, asyncio.Semaphore(p.concurrency)) + # Never accumulate an unbounded waiting queue. + if sem.locked(): + raise ProviderFailure('busy') + async with sem: + try: + async with asyncio.timeout(p.timeout_ms / 1000): + out = await self._request(name, p, payload, base, key) + self.failures[identity] = (0, 0) + return out + except asyncio.CancelledError: + raise + except (TimeoutError, httpx.TimeoutException): + code = 'timeout' + except ProviderFailure as e: + code = e.code + except (ValueError, KeyError, TypeError, IndexError, AttributeError, OverflowError): + code = 'invalid_output' + except httpx.HTTPError: + code = 'provider_error' + count += 1 + self.failures[identity] = (count, loop.time() + 30 if count >= 3 else 0) + raise ProviderFailure(code) from None + + async def _request(self, name, p, payload, base, key): + headers = {'Authorization': f'Bearer {key}'} if key else {} + kwargs = {} + if p.adapter == 'laya-vision': + if 'visual_decision' not in p.capabilities or 'image' not in payload: + raise ProviderFailure('capability_mismatch') + prefix, encoded = payload['image'].split(',', 1) + if prefix not in ('data:image/jpeg;base64', 'data:image/png;base64', 'data:image/webp;base64'): + raise ProviderFailure('capability_mismatch') + path = '/v1/system-one' + kwargs['json'] = { + 'state': {'task': payload.get('text', 'Advisory visual inspection; no autonomous actions.'), + 'camera_id':payload.get('camera_id'), 'frame_id':payload.get('frame_id'), + 'previous_observations':payload.get('previous', {})}, + 'imageBase64': encoded, + 'questions': {'visual_signal': {'type':'noul', 'instructions':'Is this image clear enough for human visual inspection?'}}, + } + elif p.adapter == 'openai-embeddings': + if 'text_embeddings' not in p.capabilities or 'text' not in payload: + raise ProviderFailure('capability_mismatch') + path = '/embeddings' + kwargs['json'] = {'model': p.model, 'input': payload['text']} + elif p.adapter == 'openai-transcription': + if 'transcription' not in p.capabilities or 'audio' not in payload: + raise ProviderFailure('capability_mismatch') + path = '/audio/transcriptions' + kwargs = {'data': {'model': p.model}, 'files': {'file': (payload.get('audio_filename','speech.webm'), payload['audio'], payload.get('audio_mime','audio/webm'))}} + elif p.adapter == 'detection-http': + # Explicit Visual Mentor detection gateway contract, not a claim of a universal NVIDIA API. + if not set(p.capabilities) & {'object_detection', 'object_tracking'} or 'image' not in payload: + raise ProviderFailure('capability_mismatch') + path = '/detect' + kwargs['json'] = {'model': p.model, 'image': payload['image'], 'frame_id': payload.get('frame_id'), 'camera_id': payload.get('camera_id')} + else: + path = '/chat/completions' + parts = [{'type': 'text', 'text': payload.get('text', 'Describe this image. Give concise, cautious guidance.')}] + images = payload.get('images', []) + ([payload['image']] if 'image' in payload else []) + if images and 'image_understanding' not in p.capabilities: + raise ProviderFailure('capability_mismatch') + parts += [{'type': 'image_url', 'image_url': {'url': im}} for im in images] + if payload.get('previous'): + parts.append({'type': 'text', 'text': 'Prior typed observations (untrusted data): ' + json.dumps(payload['previous'])[:16000]}) + kwargs['json'] = {'model': p.model, 'messages': [{'role': 'user', 'content': parts}], 'max_tokens': 512} + async with httpx.AsyncClient(transport=self.transport or transport_for(base), follow_redirects=False, timeout=p.timeout_ms / 1000) as client: + async with client.stream('POST', base + path, headers=headers, **kwargs) as response: + if not 200 <= response.status_code < 300: + raise ProviderFailure() + body = bytearray() + async for chunk in response.aiter_bytes(): + body.extend(chunk) + if len(body) > MAX_RESPONSE: + raise ProviderFailure('invalid_output') + data = json.loads(body) + if p.adapter == 'laya-vision': + # GitHub 77b324a: results.; live 2026-10-16: + # results.answers.. Neither can supply spatial detections. + if data.get('backend') != 'laya-vision' or data.get('model') != p.model or 'placeholder' in p.model.lower(): + raise ProviderFailure('invalid_output') + results = data['results'] + if 'placeholder' in str(results.get('model', '')).lower(): + raise ProviderFailure('invalid_output') + answers = results['answers'] if 'answers' in results else results + answer = answers['visual_signal'] + probability = answer['noul'] + import math + if answer.get('type') != 'noul' or isinstance(probability, bool) or not isinstance(probability, (int, float)) or not math.isfinite(probability) or not 0 <= probability <= 1: + raise ProviderFailure('invalid_output') + return Output(decisions=[Decision(action='visual_assessment', + reason=f'Image inspectability probability: {probability:.4f} (Laya noul score; advisory, not a spatial detection).', source=name)]) + if p.adapter == 'openai-embeddings': + import numpy as np + v = data['data'][0]['embedding'] + with np.errstate(over='ignore', invalid='ignore'): + array = np.asarray(v, dtype=np.float32) + norm = np.linalg.norm(array) + if not isinstance(v, list) or not v or array.ndim != 1 or not np.isfinite(array).all() or not np.isfinite(norm) or norm == 0: + raise ProviderFailure('invalid_output') + return Output(embedding=v) + if p.adapter == 'openai-transcription': + return Output(text=data['text']) + if p.adapter == 'detection-http': + if data.get('frame_id') != payload.get('frame_id') or data.get('camera_id') != payload.get('camera_id'): + raise ProviderFailure('invalid_output') + if data.get('width') != payload.get('width') or data.get('height') != payload.get('height'): + raise ProviderFailure('invalid_output') + dets = [] + if not isinstance(data.get('detections'), list) or len(data['detections']) > 200: + raise ProviderFailure('invalid_output') + for i, d in enumerate(data['detections']): + if not isinstance(d, dict): + raise ProviderFailure('invalid_output') + if d.get('object_id') and 'object_tracking' not in p.capabilities: + raise ProviderFailure('invalid_output') + dets.append(Detection(**{**d, 'source': name, 'detection_id': f'{payload.get("frame_id")}-{i}'})) + return Output(detections=dets) + text = data['choices'][0]['message']['content'] + return Output(text=text, decisions=[Decision(reason=text, source=name)]) + +adapter = Adapter() diff --git a/vrag/rag.py b/vrag/rag.py new file mode 100644 index 0000000000000000000000000000000000000000..4883b16caae22440f4845df8f3c6e7a8bbe18c62 --- /dev/null +++ b/vrag/rag.py @@ -0,0 +1,88 @@ +"""Answer questions over the video corpus: retrieve segments, then let Gemma 4 12B watch them. + +Each retrieved segment goes to the generator as its transcript text plus the clip itself (sampled +frames via video_url) and optionally the raw audio, so it can answer from what's on screen, not +just what was said. +""" + +import json +import time +from datetime import datetime, timezone + +from openai import OpenAI + +from .config import DATA, GEN_BASE_URL, GEN_MODEL +from .embedder import encode_query +from .index import get_index +from .segment import media_paths + +HISTORY = DATA / "answers" / "history.jsonl" + +SYSTEM = """You answer questions about Sam Witteveen's YouTube videos using only the retrieved clips provided. +Each clip is numbered [1], [2], ... and comes with its video title, timestamp range, transcript, and the video frames (and sometimes audio). +Rules: +- Use both what is said (transcript/audio) and what is shown on screen (slides, code, UIs, demos). +- Cite clips inline like [2] after the claims they support. Only cite clips you actually used. +- If the clips don't contain the answer, say so plainly rather than guessing. +- Be concise: a short direct answer first, then supporting detail if useful.""" + + +def fmt_ts(s: float) -> str: + s = int(s) + return f"{s // 3600}:{s // 60 % 60:02d}:{s % 60:02d}" if s >= 3600 else f"{s // 60}:{s % 60:02d}" + + +def client() -> OpenAI: + return OpenAI(base_url=GEN_BASE_URL, api_key="local") + + +def build_messages(question: str, hits: list[dict], use_video: bool, use_audio: bool) -> list[dict]: + content: list[dict] = [{"type": "text", "text": f"Question: {question}\n\nRetrieved clips:"}] + for n, h in enumerate(hits, 1): + m = media_paths(h) + # Repeat the clip number on every part: with several interleaved videos the model otherwise + # loses track of which [n] a transcript belongs to and cites the wrong clip. + content.append({"type": "text", "text": ( + f"\n=== Clip [{n}] === Video: \"{h['title']}\" ({fmt_ts(h['start'])}-{fmt_ts(h['end'])})\n" + f"Clip [{n}] transcript: {h['text']}\n" + + (f"Clip [{n}] frames:" if use_video else "") + )}) + if use_video: + content.append({"type": "video_url", "video_url": {"url": f"file://{m['clip']}"}}) + if use_audio: + content.append({"type": "text", "text": f"Clip [{n}] audio:"}) + content.append({"type": "audio_url", "audio_url": {"url": f"file://{m['audio']}"}}) + content.append({"type": "text", "text": f"=== End of clip [{n}] ==="}) + content.append({"type": "text", "text": f"\nNow answer the question, citing clips: {question}"}) + return [{"role": "system", "content": SYSTEM}, {"role": "user", "content": content}] + + +def answer(question: str, view: str = "fused", dim: int = 768, k: int = 4, + use_video: bool = True, use_audio: bool = False, max_tokens: int = 1024) -> dict: + t0 = time.time() + q = encode_query(question) + hits = get_index().search(q, view=view, dim=dim, k=k) + t_retrieve = time.time() - t0 + + t1 = time.time() + resp = client().chat.completions.create( + model=GEN_MODEL, + messages=build_messages(question, hits, use_video, use_audio), + max_tokens=max_tokens, + temperature=0.2, + ) + t_generate = time.time() - t1 + + result = { + "question": question, + "answer": resp.choices[0].message.content, + "settings": {"view": view, "dim": dim, "k": k, "use_video": use_video, "use_audio": use_audio}, + "clips": [{k_: h[k_] for k_ in ("id", "video_id", "title", "idx", "start", "end", "text", "score")} for h in hits], + "usage": {"prompt_tokens": resp.usage.prompt_tokens, "completion_tokens": resp.usage.completion_tokens}, + "timing": {"retrieve_s": round(t_retrieve, 3), "generate_s": round(t_generate, 2)}, + "created_at": datetime.now(timezone.utc).isoformat(timespec="seconds"), + } + HISTORY.parent.mkdir(parents=True, exist_ok=True) + with HISTORY.open("a") as f: + f.write(json.dumps(result) + "\n") + return result diff --git a/vrag/remote.py b/vrag/remote.py new file mode 100644 index 0000000000000000000000000000000000000000..349b2d0b973af5e6bf0feae1789549db3cc51238 --- /dev/null +++ b/vrag/remote.py @@ -0,0 +1,82 @@ +"""CPU RAG facade: fail explicitly on incompatible index/provider combinations.""" +import asyncio +import base64 +import hashlib +import json +import os +import time +from datetime import datetime, timezone +import numpy as np +from .config import DATA, INDEX_DIR, VIDEOS_DIR +from .index import get_index +from .providers import ProviderFailure +from .routing import route +from .settings import store + +def space_id(provider): + # Endpoint reference plus model and dimension identify a distinct embedding space. + return hashlib.sha256(f'{os.environ.get(provider.base_url_env, "")}:{provider.model}'.encode()).hexdigest()[:16] + +async def query(text, config=None): + if config is None: + _, config = store.snapshot() + rule = config.features.get('rag.text_embeddings') + if not rule or not rule.enabled or rule.strategy != 'single': + raise ProviderFailure('embedding_provider_unavailable') + p = config.providers[rule.providers[0]] + manifest_path = get_index().path / 'manifest.json' + manifest = json.loads(manifest_path.read_text()) if manifest_path.exists() else {} + if manifest.get('embedding_space') != space_id(p): + raise ProviderFailure('index_incompatible_reembed_required') + out, statuses = await route(config, 'rag.text_embeddings', {'text': text}) + if out.embedding is None: + raise ProviderFailure(statuses[-1]['status'] if statuses else 'embedding_provider_unavailable') + if len(out.embedding) != manifest.get('dimension'): + raise ProviderFailure('index_dimension_mismatch') + q = np.asarray(out.embedding, dtype=np.float32) + return q / np.linalg.norm(q) + +def encode_query(text): + return asyncio.run(query(text)) + +def encode_image_query(path): + raise ProviderFailure('image_embeddings_unsupported') + +def build_messages(question, hits, use_video, use_audio): + if use_audio: + raise ProviderFailure('rag_audio_unsupported_use_remote_transcription') + text = 'Answer only from these clips and cite [n]. Say when evidence is insufficient.\nQuestion: ' + question + images = [] + for n, h in enumerate(hits, 1): + text += f'\n[{n}] {h["title"]} {h["start"]}-{h["end"]} seconds: {h["text"]}' + if use_video: + # Existing ingestion produces a bounded midpoint frame per segment. Remote models receive bytes, never file://. + frame = VIDEOS_DIR / h['video_id'] / 'segments' / f'{h["idx"]:03d}.jpg' + if frame.exists() and frame.stat().st_size <= 1024 * 1024: + images.append('data:image/jpeg;base64,' + base64.b64encode(frame.read_bytes()).decode()) + return {'text': text[:64000], 'images': images[:8]} + +async def _answer(question, view, dim, k, use_video, use_audio): + start = time.monotonic() + _, config = store.snapshot() + hits = get_index().search(await query(question, config), view=view, dim=dim, k=min(k, 8)) + retrieve = time.monotonic() - start + out, statuses = await route(config, 'rag.reasoning', build_messages(question, hits, use_video, use_audio)) + if not out.text: + raise ProviderFailure('reasoning_provider_unavailable') + result = {'question': question, 'answer': out.text, 'clips': hits, + 'settings': {'view': view, 'dim': dim, 'k': k, 'use_video': use_video, 'use_audio': use_audio}, + 'usage': {'prompt_tokens': 0, 'completion_tokens': 0}, 'usage_available': False, + 'provider_results': statuses, 'timing': {'retrieve_s': retrieve, 'generate_s': time.monotonic()-start-retrieve}, + 'created_at': datetime.now(timezone.utc).isoformat()} + if os.environ.get('VRAG_SAVE_ANSWERS', 'true').lower() == 'true': + from .backup.github import state_lock + async with state_lock: + history = DATA / 'answers' / 'history.jsonl' + history.parent.mkdir(parents=True, exist_ok=True) + with history.open('a') as f: + f.write(json.dumps(result) + '\n') + return result + +def answer(question, view='text', dim=768, k=4, use_video=True, use_audio=False): + return asyncio.run(_answer(question, view, dim, k, use_video, use_audio)) diff --git a/vrag/research.py b/vrag/research.py new file mode 100644 index 0000000000000000000000000000000000000000..aa04cc84b81559e889133199c3fd92b5d1813cdf --- /dev/null +++ b/vrag/research.py @@ -0,0 +1,16 @@ +"""Future outbound research job boundary; no autonomous jobs or local workers.""" +from typing import Protocol +from pydantic import Field +from config.schema import Strict + +class ResearchJob(Strict): + task: str = Field(min_length=1, max_length=2000) + observation_ids: list[str] = Field(max_length=20) + +class ResearchStatus(Strict): + job_id: str + status: str + +class ResearchWorker(Protocol): + async def submit(self, job: ResearchJob) -> ResearchStatus: ... + async def cancel(self, job_id: str) -> None: ... diff --git a/vrag/routing.py b/vrag/routing.py new file mode 100644 index 0000000000000000000000000000000000000000..c738cb041dc4c0add45148a8438f5c40c316c92c --- /dev/null +++ b/vrag/routing.py @@ -0,0 +1,68 @@ +"""Snapshot-based deterministic routing and typed spatial/semantic fusion.""" +import asyncio +import time +from config.schema import Configuration +from .providers import Output, ProviderFailure, adapter + +async def route(config: Configuration, feature: str, payload: dict, sensitive=True): + rule = config.features.get(feature) + if not rule or not rule.enabled: + raise ProviderFailure('feature_unavailable') + async def run(name, inp): + start = time.monotonic() + try: + out = await adapter.call(name, config.providers[name], inp, sensitive) + return out, {'provider': name, 'status': 'ok', 'latency_ms': round((time.monotonic()-start)*1000)} + except ProviderFailure as exc: + return None, {'provider': name, 'status': exc.code, 'latency_ms': round((time.monotonic()-start)*1000)} + names = rule.providers + if rule.strategy == 'conditional': + names = [c.provider for c in rule.conditions if (payload.get('camera_id') if c.field == 'camera_id' else bool(payload.get('previous', {}).get('detections'))) == c.equals] + names = list(dict.fromkeys(names)) + results = [] + outputs = [] + warnings = [] + if rule.strategy == 'parallel': + tasks = [asyncio.create_task(run(n, payload)) for n in names] + try: + for task in asyncio.as_completed(tasks): + out, status = await task + results.append(status) + if out: + outputs.append(out) + if rule.result_policy == 'first_valid' and outputs: + break + if rule.result_policy == 'quorum' and len(outputs) >= rule.quorum: + break + finally: + for task in tasks: + if not task.done(): + task.cancel() + await asyncio.gather(*tasks, return_exceptions=True) + called = {r['provider'] for r in results} + results.extend({'provider': n, 'status': 'cancelled', 'latency_ms': 0} for n in names if n not in called) + if rule.result_policy == 'quorum' and len(outputs) < rule.quorum: + outputs = [] + warnings.append('quorum_not_met') + else: + inp = dict(payload) + for n in names: + out, status = await run(n, inp) + results.append(status) + if out: + outputs.append(out) + if rule.strategy == 'fallback': + break + if rule.strategy == 'sequential': + inp['previous'] = out.model_dump(exclude_none=True) + elif rule.strategy == 'sequential' or rule.strategy == 'fallback' and status['status'] not in rule.fallback_on: + break + # Boxes can ONLY originate from a validated detector adapter. No text-to-box conversion. + merged = Output( + warnings=warnings, + detections=[d for o in outputs for d in o.detections][:200], + decisions=[d for o in outputs for d in o.decisions][:20], + text='\n'.join(o.text for o in outputs if o.text)[:32000], + embedding=next((o.embedding for o in outputs if o.embedding), None), + ) + return merged, results diff --git a/vrag/segment.py b/vrag/segment.py new file mode 100644 index 0000000000000000000000000000000000000000..4e6531ca668284d1812720dd88ad22ed8185f25a --- /dev/null +++ b/vrag/segment.py @@ -0,0 +1,115 @@ +"""Cut each video into ~30s segments snapped to transcript cue boundaries, and extract the media +each embedding view needs: a 480p clip, 16kHz mono wav, and a middle keyframe.""" + +import json +import subprocess +from concurrent.futures import ThreadPoolExecutor +from pathlib import Path + +from rich.console import Console + +from .config import INDEX_DIR, SEGMENT_MIN_S, SEGMENT_TARGET_S, VIDEOS_DIR + +console = Console() + + +def plan_segments(cues: list[dict], duration: float) -> list[dict]: + """Greedily pack cues into windows of ~SEGMENT_TARGET_S, so no sentence is cut mid-way.""" + segs, cur = [], [] + for cue in cues: + cur.append(cue) + if cue["end"] - cur[0]["start"] >= SEGMENT_TARGET_S: + segs.append(cur) + cur = [] + if cur: + # Fold a short tail into the previous segment rather than indexing a 5s scrap. + if segs and cur[-1]["end"] - cur[0]["start"] < SEGMENT_MIN_S: + segs[-1].extend(cur) + else: + segs.append(cur) + out = [] + for i, group in enumerate(segs): + # Segments tile the video: each starts where the previous ended, so silences are covered too. + start = 0.0 if i == 0 else out[-1]["end"] + end = duration if i == len(segs) - 1 else group[-1]["end"] + out.append({"idx": i, "start": round(start, 2), "end": round(end, 2), + "text": " ".join(c["text"] for c in group)}) + return out + + +def _ffmpeg(*args: str) -> None: + subprocess.run(["ffmpeg", "-loglevel", "error", "-y", *args], check=True) + + +def extract_media(video: Path, seg: dict, out_dir: Path) -> None: + stem = out_dir / f"{seg['idx']:03d}" + start, dur = seg["start"], seg["end"] - seg["start"] + if not stem.with_suffix(".mp4").exists(): + _ffmpeg("-ss", str(start), "-t", str(dur), "-i", str(video), + "-c:v", "h264_nvenc", "-preset", "p4", "-cq", "30", "-c:a", "aac", "-b:a", "64k", + "-movflags", "+faststart", str(stem.with_suffix(".mp4"))) + if not stem.with_suffix(".wav").exists(): + _ffmpeg("-ss", str(start), "-t", str(dur), "-i", str(video), "-vn", "-ac", "1", "-ar", "16000", + str(stem.with_suffix(".wav"))) + if not stem.with_suffix(".jpg").exists(): + _ffmpeg("-ss", str(start + dur / 2), "-i", str(video), "-frames:v", "1", "-q:v", "3", + str(stem.with_suffix(".jpg"))) + + +def run() -> list[dict]: + """Segment every transcribed video and write the corpus manifest data/index/segments.json.""" + corpus = [] + for vdir in sorted(p for p in VIDEOS_DIR.iterdir() if (p / "transcript.json").exists()): + meta = json.loads((vdir / "meta.json").read_text()) + cues = json.loads((vdir / "transcript.json").read_text()) + segs = plan_segments(cues, meta["duration"]) + seg_dir = vdir / "segments" + seg_dir.mkdir(exist_ok=True) + with ThreadPoolExecutor(8) as pool: + list(pool.map(lambda sg: extract_media(vdir / "video.mp4", sg, seg_dir), segs)) + for seg in segs: + corpus.append({ + "id": f"{vdir.name}_{seg['idx']:03d}", + "video_id": vdir.name, + "title": meta["title"], + **seg, + }) + (vdir / "segments.json").write_text(json.dumps(segs, indent=1)) + console.print(f" {vdir.name}: {len(segs)} segments ({meta['title']})") + INDEX_DIR.mkdir(parents=True, exist_ok=True) + (INDEX_DIR / "segments.json").write_text(json.dumps(corpus, indent=1)) + console.print(f"[bold]{len(corpus)} segments[/bold] across {len({s['video_id'] for s in corpus})} videos") + return corpus + + +def retext() -> list[dict]: + """Refill segment text from the (newly) active transcript while keeping segment boundaries fixed. + + Switching ASR engines this way leaves segment IDs, media, and the visual/audio embeddings untouched, + so the eval set stays valid and transcript engines can be compared on identical segments. + Each cue goes to the segment containing its midpoint. + """ + corpus = [] + for vdir in sorted(p for p in VIDEOS_DIR.iterdir() if (p / "segments.json").exists()): + meta = json.loads((vdir / "meta.json").read_text()) + cues = json.loads((vdir / "transcript.json").read_text()) + segs = json.loads((vdir / "segments.json").read_text()) + for seg in segs: + seg["text"] = " ".join(c["text"] for c in cues if seg["start"] <= (c["start"] + c["end"]) / 2 < seg["end"]) + (vdir / "segments.json").write_text(json.dumps(segs, indent=1)) + corpus += [{"id": f"{vdir.name}_{sg['idx']:03d}", "video_id": vdir.name, "title": meta["title"], **sg} for sg in segs] + (INDEX_DIR / "segments.json").write_text(json.dumps(corpus, indent=1)) + console.print(f"Re-texted {len(corpus)} segments from engine '{transcript_engine()}' transcripts") + return corpus + + +def transcript_engine() -> str: + """Which ASR engine the indexed transcripts came from ('gemma', 'whisper', 'captions' or 'mixed').""" + engines = {json.loads((v / "meta.json").read_text()).get("transcript_engine", "whisper") + for v in VIDEOS_DIR.iterdir() if (v / "segments.json").exists()} + return engines.pop() if len(engines) == 1 else "mixed" + + +def media_paths(seg: dict) -> dict[str, Path]: + stem = VIDEOS_DIR / seg["video_id"] / "segments" / f"{seg['idx']:03d}" + return {"clip": stem.with_suffix(".mp4"), "audio": stem.with_suffix(".wav"), "frame": stem.with_suffix(".jpg")} diff --git a/vrag/settings.py b/vrag/settings.py new file mode 100644 index 0000000000000000000000000000000000000000..040826d88849434a48a64a3bd7c5362a92da8e09 --- /dev/null +++ b/vrag/settings.py @@ -0,0 +1,64 @@ +"""Atomic configuration history. Defaults are read-only unless storage is configured.""" +import asyncio +import json +import os +from pathlib import Path +import tempfile +from config.schema import Configuration + +class ConfigStore: + def __init__(self, path=None): + self.path = Path(path or os.environ['VM_STATE_DIR']) if path or os.environ.get('VM_STATE_DIR') else None + self.lock = asyncio.Lock() + self.history = [Configuration()] + self.version = 1 + if self.path: + self.path.mkdir(parents=True, exist_ok=True) + state = self.path / 'config-history.json' + if state.exists(): + self.history = [Configuration.model_validate(c) for c in json.loads(state.read_text())] + self.version = len(self.history) + def snapshot(self): + # Deep copy prevents nested mutation of in-flight snapshots. + from .backup.service import queue + queue.request() + return self.version, self.history[-1].model_copy(deep=True) + async def apply(self, config, expected): + if not self.path: + raise ValueError('VM_STATE_DIR is required for configuration updates; defaults are read-only') + from .backup.github import state_lock + async with state_lock, self.lock: + if expected != self.version: + raise ValueError('configuration changed; reload before applying') + if len(self.history) >= 100: + raise ValueError('configuration history limit reached; archive state before more updates') + history = self.history + [config] + fd, tmp = tempfile.mkstemp(dir=self.path, prefix='.config-') + try: + with os.fdopen(fd, 'w') as f: + json.dump([c.model_dump() for c in history], f) + f.flush() + os.fsync(f.fileno()) + # Persist the previous complete history before switching the active file. + if (self.path / 'config-history.json').exists(): + import shutil + backup = self.path / '.config-history.backup.tmp' + shutil.copyfile(self.path / 'config-history.json', backup) + with backup.open('rb') as previous: + os.fsync(previous.fileno()) + os.replace(backup, self.path / 'config-history.backup.json') + os.replace(tmp, self.path / 'config-history.json') + directory_fd = os.open(self.path, os.O_RDONLY) + try: + os.fsync(directory_fd) + finally: + os.close(directory_fd) + finally: + if os.path.exists(tmp): + os.unlink(tmp) + self.history, self.version = history, len(history) + from .backup.service import queue + queue.request() + return self.version + +store = ConfigStore() diff --git a/vrag/transcribe.py b/vrag/transcribe.py new file mode 100644 index 0000000000000000000000000000000000000000..9e5f53b81038dcfeecbcf56b106b74c0cce0f9d6 --- /dev/null +++ b/vrag/transcribe.py @@ -0,0 +1,274 @@ +"""Timestamped transcripts -> data/videos//transcript..json as [{start, end, text}, ...]. + +Engines: + gemma - Gemma 4 12B on the vLLM server (default). Audio is cut at pauses into <=28s chunks, + because Gemma 4 only hears the first 30s of any audio input. + whisper - Whisper large-v3-turbo locally, with word timestamps. +Creator captions (captions*.vtt from the YouTube download path) win over both when present. + +transcript.json is a copy of the *active* engine's transcript; everything downstream reads that. +""" + +import io +import json +import re +import shutil +import subprocess +import time +from concurrent.futures import ThreadPoolExecutor +from pathlib import Path + +import numpy as np +from rich.console import Console + +from .config import ASR_ENGINE, GEN_MODEL, VIDEOS_DIR + +console = Console() + +ENGINE_MODELS = {"whisper": "openai/whisper-large-v3-turbo", "gemma": "google/gemma-4-12B-it (vLLM)"} +SR = 16000 +_asr = None + + +def _parse_vtt(path: Path) -> list[dict]: + import webvtt + + return [ + {"start": round(c.start_in_seconds, 2), "end": round(c.end_in_seconds, 2), "text": " ".join(c.text.split())} + for c in webvtt.read(str(path)) + if c.text.strip() + ] + + +def load_audio(path: Path, sr: int = SR) -> np.ndarray: + out = subprocess.run( + ["ffmpeg", "-loglevel", "error", "-i", str(path), "-f", "f32le", "-ac", "1", "-ar", str(sr), "-"], + capture_output=True, check=True, + ) + return np.frombuffer(out.stdout, dtype=np.float32) + + +# ---------------------------------------------------------------- whisper + +def _whisper(path: Path) -> list[dict]: + global _asr + import torch + from transformers import pipeline + + if _asr is None: + _asr = pipeline("automatic-speech-recognition", model=ENGINE_MODELS["whisper"], dtype=torch.bfloat16, device="cuda") + audio = load_audio(path) + # Word-level timestamps: chunk-level ones from the batched pipeline often collapse into + # multi-minute cues, which breaks segmentation. Words are regrouped into cues below. + out = _asr( + {"raw": audio, "sampling_rate": SR}, + return_timestamps="word", + chunk_length_s=30, + batch_size=4, # word timestamps need eager cross-attention maps, which are memory-hungry + generate_kwargs={"language": "en", "task": "transcribe"}, + ) + return _group_words(out["chunks"]) + + +def _group_words(words: list[dict], max_s: float = 8.0) -> list[dict]: + """Group word timestamps into caption-like cues: break after sentence punctuation or every ~max_s.""" + cues, cur = [], [] + for w in words: + start, end = w["timestamp"] + if start is None: + continue + end = end if end is not None else start + 0.3 + # Whisper word tokens carry their own leading space ("1" + ".6"), so join raw text. + cur.append((start, end, w["text"])) + if w["text"].rstrip().endswith((".", "?", "!")) or end - cur[0][0] >= max_s: + cues.append(cur) + cur = [] + if cur: + cues.append(cur) + return [ + {"start": round(c[0][0], 2), "end": round(c[-1][1], 2), "text": "".join(t for _, _, t in c).strip()} + for c in cues + ] + + +# ---------------------------------------------------------------- gemma + +GEMMA_PROMPT = ( + "Transcribe the following audio verbatim in English. Output only the transcript text, with normal " + "punctuation and capitalisation. Do not summarise, translate, or add commentary. If there is no speech, output nothing." +) +CHUNK_MIN_S, CHUNK_MAX_S = 18.0, 28.0 # Gemma 4 truncates audio inputs at 30s +# Every chunk is padded with silence to exactly this length. vLLM 0.23's Gemma 4 audio encoder +# crashes the whole engine ("'list' object has no attribute 'squeeze'") when clips of different +# lengths land in one encoder batch; identical lengths keep the features stackable. +PAD_S = 30.0 + + +def split_at_pauses(audio: np.ndarray, sr: int = SR) -> list[tuple[int, int]]: + """Chunks of CHUNK_MIN_S..CHUNK_MAX_S, each ending at the quietest 50ms frame in that window, + so cuts land in pauses between words rather than mid-word.""" + hop = sr // 20 + n_frames = len(audio) // hop + rms = np.sqrt(np.mean(audio[: n_frames * hop].reshape(n_frames, hop) ** 2, axis=1) + 1e-12) + # Smooth over ~250ms so a single quiet frame inside a word doesn't count as a pause. + rms = np.convolve(rms, np.ones(5) / 5, mode="same") + chunks, start = [], 0 + while start < len(audio): + if len(audio) - start <= CHUNK_MAX_S * sr: + chunks.append((start, len(audio))) + break + lo = start // hop + int(CHUNK_MIN_S * 20) + hi = start // hop + int(CHUNK_MAX_S * 20) + cut = (lo + int(np.argmin(rms[lo:hi]))) * hop + chunks.append((start, cut)) + start = cut + return chunks + + +def _wav_b64(samples: np.ndarray) -> str: + import base64 + + import soundfile as sf + + buf = io.BytesIO() + sf.write(buf, samples, SR, format="WAV", subtype="PCM_16") + return base64.b64encode(buf.getvalue()).decode() + + +def pad_audio(samples: np.ndarray, seconds: float = PAD_S) -> np.ndarray: + n = int(seconds * SR) + samples = samples[:n] + return np.pad(samples, (0, n - len(samples))) if len(samples) < n else samples + + +# A word or short phrase repeated 6+ times in a row ("thought thought thought ..."): a decoding loop. +_LOOP = re.compile(r"\b((?:\w+\W+){1,3}?)(?:\1){5,}", re.IGNORECASE) +# Attempts per chunk: greedy first, then a repetition penalty with a little sampling to break loops. +ATTEMPTS = [{"temperature": 0.0}, {"temperature": 0.3, "extra_body": {"repetition_penalty": 1.15}}, + {"temperature": 0.6, "extra_body": {"repetition_penalty": 1.3}}] + + +def _is_loop(text: str) -> bool: + return bool(_LOOP.search(text + " ")) + + +def _gemma_chunk(samples: np.ndarray) -> str: + from .rag import client + + samples = pad_audio(samples) + audio_b64 = _wav_b64(samples) + text = "" + for opts in ATTEMPTS: + resp = client().chat.completions.create( + model=GEN_MODEL, + # ~30s of speech is <=150 tokens; a tight cap stops a runaway loop from eating 1k tokens. + max_tokens=400, + # Instruction before the audio: with audio first, Gemma tends to *reply* to the speaker. + messages=[{"role": "user", "content": [ + {"type": "text", "text": GEMMA_PROMPT}, + {"type": "input_audio", "input_audio": {"data": audio_b64, "format": "wav"}}, + ]}], + **opts, + ) + text = " ".join((resp.choices[0].message.content or "").split()) + if not _is_loop(text): + return text + # Still looping after retries: keep the transcript but collapse the repeated run to one copy. + return _LOOP.sub(lambda m: m.group(1), text + " ").strip() + + +_SENT = re.compile(r"(?<=[.!?])\s+") + + +def _chunk_cues(text: str, t0: float, t1: float) -> list[dict]: + """Gemma returns plain text, so sentence times are interpolated by character offset within the chunk. + Good to a second or two, which is plenty for ~30s retrieval segments.""" + sents = [s for s in _SENT.split(text) if s.strip()] + total = sum(len(s) for s in sents) or 1 + cues, pos = [], 0 + for s in sents: + a = t0 + (t1 - t0) * pos / total + pos += len(s) + b = t0 + (t1 - t0) * pos / total + cues.append({"start": round(a, 2), "end": round(b, 2), "text": s.strip()}) + return cues + + +def _gemma(path: Path, workers: int = 16) -> list[dict]: + audio = load_audio(path) + spans = split_at_pauses(audio) + with ThreadPoolExecutor(workers) as pool: + texts = list(pool.map(lambda sp: _gemma_chunk(audio[sp[0]:sp[1]]), spans)) + cues = [] + for (a, b), text in zip(spans, texts): + cues += _chunk_cues(text, a / SR, b / SR) + return cues + + +# ---------------------------------------------------------------- orchestration + +def transcript_path(vdir: Path, engine: str) -> Path: + return vdir / f"transcript.{engine}.json" + + +def ensure_transcript(vdir: Path, engine: str = ASR_ENGINE, force: bool = False, activate: bool = True) -> list[dict]: + vtts = sorted(vdir.glob("captions*.vtt")) + out = transcript_path(vdir, "captions" if vtts else engine) + if force or not out.exists(): + t0 = time.time() + if vtts: + cues = _parse_vtt(vtts[0]) + elif engine == "gemma": + cues = _gemma(vdir / "video.mp4") + elif engine == "whisper": + cues = _whisper(vdir / "video.mp4") + else: + raise ValueError(f"unknown ASR engine {engine!r}") + out.write_text(json.dumps(cues, indent=1)) + meta = json.loads((vdir / "meta.json").read_text()) + meta.setdefault("transcribe_seconds", {})[out.stem.split(".")[-1]] = round(time.time() - t0, 1) + (vdir / "meta.json").write_text(json.dumps(meta, indent=2)) + if activate: + shutil.copyfile(out, vdir / "transcript.json") + meta = json.loads((vdir / "meta.json").read_text()) + meta["transcript_source"] = "captions" if vtts else ENGINE_MODELS[engine] + meta["transcript_engine"] = "captions" if vtts else engine + (vdir / "meta.json").write_text(json.dumps(meta, indent=2)) + return json.loads(out.read_text()) + + +def available(vdir: Path) -> dict[str, Path]: + return {p.stem.split(".", 1)[1]: p for p in sorted(vdir.glob("transcript.*.json"))} + + +def compare(engines: tuple[str, str] = ("whisper", "gemma")) -> list[dict]: + """Word error rate of one engine's transcript against the other, per video (no ground truth here, + so this is agreement, not accuracy).""" + import jiwer + + norm = lambda cues: re.sub(r"[^a-z0-9' ]+", " ", " ".join(c["text"] for c in cues).lower()) + rows = [] + for vdir in sorted(p for p in VIDEOS_DIR.iterdir() if (p / "meta.json").exists()): + paths = available(vdir) + if not all(e in paths for e in engines): + continue + ref, hyp = (norm(json.loads(paths[e].read_text())) for e in engines) + out = jiwer.process_words(ref, hyp) + meta = json.loads((vdir / "meta.json").read_text()) + rows.append({ + "video_id": vdir.name, + "title": meta["title"], + "wer": round(out.wer, 4), + "words": {engines[0]: len(ref.split()), engines[1]: len(hyp.split())}, + "seconds": meta.get("transcribe_seconds", {}), + }) + return rows + + +def run(engine: str = ASR_ENGINE, force: bool = False) -> None: + console.print(f"[bold]Transcribing with {engine}[/bold] ({ENGINE_MODELS[engine]})") + for vdir in sorted(p for p in VIDEOS_DIR.iterdir() if (p / "video.mp4").exists()): + t0 = time.time() + cues = ensure_transcript(vdir, engine=engine, force=force) + words = sum(len(c["text"].split()) for c in cues) + console.print(f" {vdir.name}: {len(cues)} cues, {words} words ({time.time() - t0:.0f}s)") diff --git a/web/.gitignore b/web/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..5ef6a520780202a1d6addd833d800ccb1ecac0bb --- /dev/null +++ b/web/.gitignore @@ -0,0 +1,41 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files (can opt-in for committing if needed) +.env* + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/web/AGENTS.md b/web/AGENTS.md new file mode 100644 index 0000000000000000000000000000000000000000..af3b7c84114bafeee578bf1adff2ef74af2cc6a2 --- /dev/null +++ b/web/AGENTS.md @@ -0,0 +1,9 @@ + + +## This is NOT the Next.js you know + +This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` (resolved from this file's directory; in monorepos the `next` package may not be visible from the repo root) before writing any code. Heed deprecation notices. + +This block is written and re-added by `next dev` — verify at `node_modules/next/dist/server/lib/generate-agent-files.js`. Removing it from a diff only re-creates the uncommitted change; committing it with your work keeps the tree clean. + + diff --git a/web/eslint.config.mjs b/web/eslint.config.mjs new file mode 100644 index 0000000000000000000000000000000000000000..05e726d1b4201bc8c7716d2b058279676582e8c0 --- /dev/null +++ b/web/eslint.config.mjs @@ -0,0 +1,18 @@ +import { defineConfig, globalIgnores } from "eslint/config"; +import nextVitals from "eslint-config-next/core-web-vitals"; +import nextTs from "eslint-config-next/typescript"; + +const eslintConfig = defineConfig([ + ...nextVitals, + ...nextTs, + // Override default ignores of eslint-config-next. + globalIgnores([ + // Default ignores of eslint-config-next: + ".next/**", + "out/**", + "build/**", + "next-env.d.ts", + ]), +]); + +export default eslintConfig; diff --git a/web/next.config.ts b/web/next.config.ts new file mode 100644 index 0000000000000000000000000000000000000000..0a001a4ef392b93caf1ed9f1804a96ddcc55a007 --- /dev/null +++ b/web/next.config.ts @@ -0,0 +1,38 @@ +import type { NextConfig } from "next"; + +// FastAPI backend (uv run vrag api). /api and /media are proxied so the browser sees one origin. +const BACKEND = process.env.VRAG_API_URL ?? "http://127.0.0.1:8000"; + +const nextConfig: NextConfig = { + output: "standalone", + // Let the dev server be opened from other machines on the LAN / tailnet: comma-separated hosts in + // VRAG_DEV_ORIGINS (e.g. in web/.env.local). Wildcards match a single subdomain level only, so a + // full MagicDNS name needs its own entry. + allowedDevOrigins: (process.env.VRAG_DEV_ORIGINS ?? "") + .split(",") + .map((s) => s.trim()) + .filter(Boolean), + cacheComponents: true, + partialPrefetching: true, + turbopack: { + rules: { + "*.css": { + loaders: ["@tailwindcss/turbopack"], + as: "*.css", + }, + }, + }, + // Generation over several video clips can take a while. + experimental: { proxyTimeout: 300_000, proxyClientMaxBodySize: "65mb" }, + async rewrites() { + return [ + { source: "/api/:path*", destination: `${BACKEND}/api/:path*` }, + { source: "/media/:path*", destination: `${BACKEND}/media/:path*` }, + { source: "/health", destination: `${BACKEND}/api/health` }, + { source: "/api-docs", destination: `${BACKEND}/docs` }, + { source: "/openapi.json", destination: `${BACKEND}/openapi.json` }, + ]; + }, +}; + +export default nextConfig; diff --git a/web/package-lock.json b/web/package-lock.json new file mode 100644 index 0000000000000000000000000000000000000000..00812752ed7f390d89f08added893a392cc221cf --- /dev/null +++ b/web/package-lock.json @@ -0,0 +1,8397 @@ +{ + 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"version": "0.1.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "eslint" + }, + "dependencies": { + "next": "16.4.0", + "react": "19.3.0", + "react-dom": "19.3.0", + "react-markdown": "^10.1.0", + "recharts": "^3.10.1", + "yaml": "^2.9.1" + }, + "devDependencies": { + "@playwright/test": "^1.64.1", + "@tailwindcss/turbopack": "^4", + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "eslint": "^9", + "eslint-config-next": "16.4.0", + "tailwindcss": "^4", + "typescript": "^5" + } +} diff --git a/web/playwright.config.ts b/web/playwright.config.ts new file mode 100644 index 0000000000000000000000000000000000000000..c707e7aa4fd56488e545b021b413b9d175ffb6bf --- /dev/null +++ b/web/playwright.config.ts @@ -0,0 +1,2 @@ +import { defineConfig } from '@playwright/test'; +export default defineConfig({testDir:'./tests',workers:1,use:{permissions:['camera','microphone'],baseURL:'http://127.0.0.1:7860',launchOptions:{executablePath:process.env.CHROMIUM_PATH||'/usr/bin/chromium',args:['--no-sandbox','--use-fake-device-for-media-stream','--use-fake-ui-for-media-stream']}},webServer:{command:'npm run dev -- --hostname 127.0.0.1 --port 7860',url:'http://127.0.0.1:7860',reuseExistingServer:true,timeout:120000,stdout:'ignore',stderr:'ignore'},expect:{toHaveScreenshot:{maxDiffPixelRatio:0.01}}}); diff --git a/web/public/file.svg b/web/public/file.svg new file mode 100644 index 0000000000000000000000000000000000000000..004145cddf3f9db91b57b9cb596683c8eb420862 --- /dev/null +++ b/web/public/file.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/web/public/globe.svg b/web/public/globe.svg new file mode 100644 index 0000000000000000000000000000000000000000..567f17b0d7c7fb662c16d4357dd74830caf2dccb --- /dev/null +++ b/web/public/globe.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/web/public/next.svg b/web/public/next.svg new file mode 100644 index 0000000000000000000000000000000000000000..5174b28c565c285e3e312ec5178be64fbeca8398 --- /dev/null +++ b/web/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/web/public/sample/thumb-1.jpg b/web/public/sample/thumb-1.jpg new file mode 100644 index 0000000000000000000000000000000000000000..66964309582e562b3c11b5e1ab690b4dcdfe2672 Binary files /dev/null and b/web/public/sample/thumb-1.jpg differ diff --git a/web/public/sample/thumb-2.jpg b/web/public/sample/thumb-2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ce7d61549035d68e72bdd0af2f03b44e25c79eb7 Binary files /dev/null and b/web/public/sample/thumb-2.jpg differ diff --git a/web/public/sample/thumb-3.jpg b/web/public/sample/thumb-3.jpg new file mode 100644 index 0000000000000000000000000000000000000000..557a8c2e11fd3f7fa7e108ddb82711e5d41e2d42 Binary files /dev/null and b/web/public/sample/thumb-3.jpg differ diff --git a/web/public/sample/video.mp4 b/web/public/sample/video.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..dc93e82b7726a580c099d5db7534d7229bb2e145 Binary files /dev/null and b/web/public/sample/video.mp4 differ diff --git a/web/public/vercel.svg b/web/public/vercel.svg new file mode 100644 index 0000000000000000000000000000000000000000..77053960334e2e34dc584dea8019925c3b4ccca9 --- /dev/null +++ b/web/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/web/public/window.svg b/web/public/window.svg new file mode 100644 index 0000000000000000000000000000000000000000..b2b2a44f6ebc70c450043c05a002e7a93ba5d651 --- /dev/null +++ b/web/public/window.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/web/src/app/Library.tsx b/web/src/app/Library.tsx new file mode 100644 index 0000000000000000000000000000000000000000..3345166cb4fd055ad0e593c859950118038513fa --- /dev/null +++ b/web/src/app/Library.tsx @@ -0,0 +1,99 @@ +"use client"; + +import {AccessToken} from "@/components/AccessToken"; +import {ImportMedia} from "@/components/ImportMedia"; +import Link from "next/link"; +import { useEffect, useState } from "react"; +import { getJSON, type Stats, type VideoMeta } from "@/lib/api"; +import { bytes, compact, fmtDuration } from "@/lib/format"; +import { VIEW_INFO, VIEW_ORDER } from "@/lib/views"; +import { ViewSwatch } from "@/components/Controls"; + +function Tile({ label, value, sub }: { label: string; value: string; sub?: string }) { + return ( +
+
{label}
+
{value}
+ {sub &&
{sub}
} +
+ ); +} + +export function Library() { + const [videos, setVideos] = useState(null); + const [stats, setStats] = useState(null); + const [error, setError] = useState(null); + + useEffect(() => { + getJSON("/api/videos").then(setVideos).catch((e) => setError(String(e))); + getJSON("/api/stats").then(setStats).catch(() => {}); + }, []); + + if (error) return

Library unavailable ({error}). Check access and service status.

; + + const primaryDim = stats?.dims[0] ?? 768; + const s768 = stats?.storage.find((s) => s.dim === primaryDim)?.bytes_per_view ?? 0; + const s128 = stats?.storage.find((s) => s.dim === 128)?.bytes_per_view ?? 0; + + return ( +
+
+

Library

+

+ Browse timestamped clips, transcripts and evidence. Remote text indexes search transcripts; image, video and audio views require a compatible multimodal index. +

+
+ + + {stats && ( +
+ + + + +
+ )} + + {stats?.views_built && ( +
+

Embedding views

+
+ {VIEW_ORDER.filter((v) => stats.views.includes(v)).map((v) => { + const b = stats.views_built?.[v]; + return ( +
+ + {VIEW_INFO[v].label} + {stats.view_descriptions[v]} + {b && {b.ms_per_segment} ms/seg} +
+ ); + })} +
+
+ )} + + {videos?.length===0&&

Your library is ready for its first video. Import a clip above; missing inference dependencies appear in its job status.

} +
+ {(videos ?? []).map((v) => ( + +
+ {/* eslint-disable-next-line @next/next/no-img-element */} + + {fmtDuration(v.duration)} +
+
+
{v.title}
+
+ {v.num_segments} segments + {v.view_count != null && {compact(v.view_count)} views} + {v.id.startsWith("sample-") && Synthetic sample} +
+
+ + ))} + {!videos &&

Loading…

} +
+
+ ); +} diff --git a/web/src/app/architecture/ArchitectureView.tsx b/web/src/app/architecture/ArchitectureView.tsx new file mode 100644 index 0000000000000000000000000000000000000000..e15b5dcb25243739ad733d21959dad18ff44e33d --- /dev/null +++ b/web/src/app/architecture/ArchitectureView.tsx @@ -0,0 +1,389 @@ +"use client"; + +import { useEffect, useState } from "react"; +import { getJSON, type Experiments, type Stats, type View } from "@/lib/api"; +import { bytes, fmtDuration } from "@/lib/format"; +import { VIEW_INFO } from "@/lib/views"; +import { ViewSwatch } from "@/components/Controls"; + +/* ---------- diagram primitives ---------- */ + +function Node({ + title, + sub, + tag, + children, + accent, + className = "", +}: { + title: string; + sub?: string; + tag?: string; + children?: React.ReactNode; + accent?: string; + className?: string; +}) { + return ( +
+
+
{title}
+ {tag && {tag}} +
+ {sub &&
{sub}
} + {children &&
{children}
} +
+ ); +} + +/** Connector between nodes: horizontal on wide screens, vertical when stacked. */ +function Arrow({ label }: { label?: string }) { + return ( +
+
+ {label && {label}} + + + + + + +
+
+ ); +} + +function Section({ n, title, blurb, children }: { n: number; title: string; blurb: string; children: React.ReactNode }) { + return ( +
+
+
+ {String(n).padStart(2, "0")} +

{title}

+
+

{blurb}

+
+ {children} +
+ ); +} + +function Group({ label, children, className = "" }: { label: string; children: React.ReactNode; className?: string }) { + return ( +
+ {label} + {children} +
+ ); +} + +function Code({ children }: { children: React.ReactNode }) { + return {children}; +} + +/* ---------- page ---------- */ + +const EMBED_VIEWS: View[] = ["text", "frame", "video", "audio", "fused"]; +const VIEW_INPUT: Record = { + text: "title: {title} | text: {transcript}", + frame: "{ image: NNN.jpg }", + video: "{ video: NNN.mp4 } · ~30 frames × 140 tok", + audio: "{ audio: NNN.wav } · 30s × 25 tok", + fused: "title… | text… <|video|> <|audio|>", +}; + +export function ArchitectureView() { + const [stats, setStats] = useState(null); + const [exp, setExp] = useState(null); + + useEffect(() => { + getJSON("/api/stats").then(setStats).catch(() => {}); + getJSON("/api/experiments").then(setExp).catch(() => {}); + }, []); + + const seg = stats?.segments ?? 427; + const vids = stats?.videos ?? 15; + const built = stats?.views_built ?? {}; + const perView768 = seg * 768 * 4; + + return ( +
+
+

Architecture

+

+ {vids} videos and {seg} segments. CPU media processing and remote inference share the original Video RAG interface. Text indexes, model identity and dimensions stay versioned; multimodal research views below require compatible historical indexes. +

+
+ + {/* 1. Runtime topology */} +
+
+ +
private-space.hf.space
+ + + +
+ +
Library · Search · Ask
+
Experiments · Architecture
+
rewrites /api, /media → :8000
+ + + +
search · compare · ask
+
experiments · range-served mp4
+ + +
+ +
query + corpus text embeddings
+ + +
data/index/{view}.npy · {bytes(stats?.storage[0]?.bytes_per_view??0)} per view
+ + +
answers · transcription · eval queries
+ +
+
+ +
+
+ + {/* 2. Offline pipeline */} +
+
+ +
{vids} library videos
+
64 MiB / 30 minute limit
+ + + +
640px CPU H.264 proxy (faststart)
+
SHA-256 deduplication; resumable job stages
+
→ video.mp4 · thumb.jpg · meta.json
+ + + +
Whisper-compatible remote endpoint
+
bounded 30s audio chunks
+
→ transcript.json · manual transcript retry supported
+ + + +
pack cues into ~30s windows
+
preserve chunk timestamps; cue overlap is explicit
+
→ timestamped metadata and keyframe JPEGs
+ + + +
{seg} transcript segments
+
validated dimension · normalized float32
+
→ revision/text.npy · atomic CURRENT
+ +
+
+ + {/* 3. Embedding views */} +
+
+ + {/* eslint-disable-next-line @next/next/no-img-element */} + +
+ transcript + frames + audio +
+ + {/* Fan-out: stretches to the list height; curves end on the centres of the 5 embedding rows (of 6 equal rows). */} +
+ {/* Absolutely positioned so the SVG's intrinsic aspect ratio doesn't drive the row height. */} + + {EMBED_VIEWS.map((_, i) => { + const y = (i + 0.5) * 100; + return ( + + ); + })} + +
+
+ {EMBED_VIEWS.map((v) => ( +
+ + + {VIEW_INFO[v].label} + + {VIEW_INPUT[v]} + + {built[v] ? `${built[v].ms_per_segment} ms/seg` : ""} + +
+ ))} +
+ + + {VIEW_INFO.hybrid.label} + + no extra vectors · reciprocal rank fusion of the text, video and audio rankings at query time +
+
+
+

+ All inputs share one 8,192-token window: ~30 frames × 140 + ~750 audio tokens + transcript fits. Media gets no task + prefix; text uses title: … | text: …. +

+
+ + {/* 4. Query path */} +
+
+ +
“what did Sam think about 3-bit models for coding?”
+ + + +
+ model-specific input preparation +
+
→ model dimension, normalized vector
+ + + +
match model, view and index dimensions
+
re-normalise both
+ + + +
{seg} scores per query
+
hybrid: RRF over 3 rankings
+ + + +
per clip: transcript + frames
+
raw audio reasoning unavailable; transcribe first
+ + + +
[n] → plays clip n at its timestamp
+
saved to answers/history.jsonl
+ +
+
+ + {/* 5. Matryoshka */} +
+
+ {[768, 512, 256, 128].map((d) => ( +
+ {d}d +
+
+
+ + {bytes(seg * d * 4)} / view {d !== 768 && `· ÷${(768 / d).toFixed(1)}`} + +
+ ))} +

+ Re-normalising after slicing is required: a truncated unit vector is no longer unit length and silently skews cosine scores + (vrag/index.py: truncate). +

+
+
+ + {/* 6. Eval loop */} +
+
+ +
8 per video, skip intro/outro
+
{exp ? `${exp.num_queries / 2} segments` : ""}
+ + + +
spoken: something Sam says
+
visual: something only on screen
+
+ data/eval/manual.jsonl for your own
+ + + +
6 views × 4 dims × {exp?.num_queries ?? "…"} queries
+
R@1/5/10 · MRR@10 · ±1-seg · video hit
+ + + +
line chart · heatmap · per-query ranks
+ +
+
+ + {/* 7. Stack + files */} +
+
+
+ + + + + + + + + + +
Embeddinggoogle/embeddinggemma-2 · sentence-transformers 6.1 · torchcodec
Generatorgoogle/gemma-4-12B-it-qat-w4a16-ct · vLLM 0.23 · MTP
ASRGemma 4 12B (default, ~100 s for 3.9 h) · Whisper large-v3-turbo (alt, ~35 min)
Indexnumpy float32 · brute-force cosine
APIFastAPI · uvicorn · range-served media
WebNext.js 16 · React 19 · Tailwind 4 · Recharts
Corpus{vids} videos · {stats ? fmtDuration(stats.total_duration_s) : "…"} · {seg} segments
+
+ 
{`vrag/            pipeline + API
+  jobs.py        bounded upload → CPU proxy → remote STT → index
+  providers.py   remote vision / detection / STT / embeddings
+  mentor_api.py  live sessions, consent and authorized routing
+  settings.py    atomic profile history and rollback
+  backup/        encrypted snapshots and isolated restore
+  index.py       cosine, MRL truncate, RRF
+  remote.py      evidence → remote LLM → cited answer
+  evalset.py     synthetic spoken/visual queries
+  experiments.py view × dim metrics grid
+  api.py         FastAPI for the site
+serve/           historical offline research; not cloud runtime
+web/             this site
+scripts/dev.sh   CPU web + API only; no inference services`}
+
+
+
+ ); +} diff --git a/web/src/app/architecture/page.tsx b/web/src/app/architecture/page.tsx new file mode 100644 index 0000000000000000000000000000000000000000..b79ec1adf0925723279fc1f48c48a4ee235b1157 --- /dev/null +++ b/web/src/app/architecture/page.tsx @@ -0,0 +1,10 @@ +import { Suspense } from "react"; +import { ArchitectureView } from "./ArchitectureView"; + +export default function Page() { + return ( + + + + ); +} diff --git a/web/src/app/ask/AskView.tsx b/web/src/app/ask/AskView.tsx new file mode 100644 index 0000000000000000000000000000000000000000..f481f26489855a0f21c7cbdff800058e8240aef6 --- /dev/null +++ b/web/src/app/ask/AskView.tsx @@ -0,0 +1,206 @@ +"use client"; + +import { useEffect, useState } from "react"; +import ReactMarkdown from "react-markdown"; +import { getJSON, type AskResponse, type Hit, type View } from "@/lib/api"; +import { fmtTs } from "@/lib/format"; +import { VIEW_INFO } from "@/lib/views"; +import { ClipPlayer, type ClipRef } from "@/components/ClipPlayer"; +import { DimPicker, Segmented, ViewPicker } from "@/components/Controls"; +import { SegmentCard } from "@/components/SegmentCard"; + +const SUGGESTIONS = [ + "What did Sam think about running heavily quantized models for coding?", + "Which videos show a model controlling a computer UI, and what did it do?", + "How does Nemotron 3 handle speaker diarization?", + "What was shown on screen when comparing the Qwen3.8 27B variants?", +]; + +/** Turn [1] / [1, 3] citations into links the markdown renderer maps to clip buttons. */ +function linkCitations(md: string): string { + return md.replace(/\[(\d+(?:\s*,\s*\d+)*)\]/g, (_, nums: string) => + nums + .split(",") + .map((n) => `[${n.trim()}](#clip-${n.trim()})`) + .join(""), + ); +} + +function Answer({ res, onPlay }: { res: AskResponse; onPlay: (h: Hit) => void }) { + return ( +
+
+
+ { + const n = href?.startsWith("#clip-") ? Number(href.slice(6)) : NaN; + const clip = res.clips[n - 1]; + if (!clip) return {children}; + return ( + + ); + }, + }} + > + {linkCitations(res.answer)} + +
+
+ + {VIEW_INFO[res.settings.view].label} @ {res.settings.dim}d · k={res.settings.k} + + + inputs: transcript{res.settings.use_video ? " + keyframes" : ""} + {res.settings.use_audio ? " + audio" : ""} + + retrieve {(res.timing.retrieve_s * 1000).toFixed(0)} ms + generate {res.timing.generate_s.toFixed(1)} s + + {res.usage_available===false?"Usage unavailable":`${res.usage.prompt_tokens.toLocaleString()} prompt → ${res.usage.completion_tokens.toLocaleString()} output tokens`} + +
+
+
+ {res.clips.map((c, i) => ( + + ))} +
+
+ ); +} + +export function AskView() { + const [question, setQuestion] = useState(""); + const [view, setView] = useState("text"); + const [dim, setDim] = useState(768); + const [k, setK] = useState(4); + const [useVideo, setUseVideo] = useState(true); + const [useAudio, setUseAudio] = useState(false); + const [current, setCurrent] = useState(null); + const [history, setHistory] = useState([]); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(null); + const [clip, setClip] = useState(null); + + useEffect(() => { + getJSON("/api/answers").then(setHistory).catch(() => {}); + }, []); + + const ask = async (qText: string) => { + if (!qText.trim()) return; + setLoading(true); + setError(null); + try { + const res = await getJSON("/api/ask", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ question: qText, view, dim, k, use_video: useVideo, use_audio: useAudio }), + }); + setCurrent(res); + setHistory((h) => [res, ...h]); + } catch (e) { + setError(String(e)); + } finally { + setLoading(false); + } + }; + + return ( +
+
+
+

Ask

+

+ Retrieve relevant transcripts and ask a configured remote model for cited answers, with optional keyframes. Sample mode returns labeled evidence extracts without inference. +

+
+ +
{ + e.preventDefault(); + ask(question); + }} + className="space-y-3" + > +