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backend/scripts/build_docx_preview.py
.py
"""Preview + compare harness for the build-session Markdown -> DOCX converter. This is a developer tool for tuning ``onyx.server.features.build.session.md_to_docx`` toward the visual output that pandoc/pypandoc produces. It can: * ``generate`` a ``.docx`` from a Markdown file using the in-tree mistune converter, an...
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backend/scripts/search_loadtest.py
.py
""" Load test for the Onyx search flow (/api/search/send-search-message). Usage: source .venv/bin/activate python backend/scripts/search_loadtest.py --help """ from __future__ import annotations import argparse import os import random import statistics import threading import time from collections import Cou...
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onyx
backend/scripts/get_wikidocs.py
.py
#!/usr/bin/env python3 """ Script to pull Wikipedia documents from Hugging Face and organize them into zip files. Usage: python get_wikidocs.py --total 1000 --per-zip 100 --output ./wikidata_zips """ import argparse import os import re import zipfile from pathlib import Path from datasets import load_dataset # ...
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backend/scripts/hard_delete_chats.py
.py
import os import sys # Ensure PYTHONPATH is set up for direct script execution parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) print(parent_dir) sys.path.append(parent_dir) from onyx.db.chat import delete_chat_session # noqa: E402 from onyx.db.engine.sql_engine import ( # noqa: E402 Sql...
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backend/scripts/onyx_openapi_schema.py
.py
# export openapi schema without having to start the actual web server # helpful tips: https://github.com/fastapi/fastapi/issues/1173 import argparse import json import os import subprocess import sys from fastapi import FastAPI from fastapi.openapi.utils import get_openapi from onyx.main import app as app_fn OPENA...
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backend/scripts/save_load_state.py
.py
# This file is purely for development use, not included in any builds # Remember to first to send over the schema information (run API Server) import argparse import json import os import subprocess import requests from alembic import command from alembic.config import Config from onyx.configs.app_configs import ( ...
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backend/scripts/reencrypt_secrets.py
.py
"""Re-encrypt secrets under the current ENCRYPTION_KEY_SECRET. Decrypts all encrypted columns using the old key (or raw decode if the old key is empty), then re-encrypts them with the current ENCRYPTION_KEY_SECRET. Usage (docker): docker exec -it onyx-api_server-1 \ python -m scripts.reencrypt_secrets --o...
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backend/scripts/chat_history_seeding.py
.py
import argparse import logging from logging import getLogger from onyx.db.seeding.chat_history_seeding import seed_chat_history # Configure the logger logging.basicConfig( level=logging.INFO, # Set the log level (DEBUG, INFO, WARNING, ERROR, CRITICAL) format="%(asctime)s - %(name)s - %(levelname)s - %(messag...
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backend/scripts/reset_indexes.py
.py
# This file is purely for development use, not included in any builds import os import sys from time import sleep import requests from requests.exceptions import RequestException # makes it so `PYTHONPATH=.` is not required when running this script parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__...
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backend/scripts/rotate_llm_provider_keys.py
.py
"""Rotate OpenAI / Anthropic API keys across all tenants. For each tenant, iterates every LLM provider (and optionally embedding and voice providers), decrypts the stored key, and replaces it with the new key when it matches the old one. Usage (docker): docker exec -it onyx-api_server-1 \ python -m script...
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backend/scripts/celery_purge_queue.py
.py
# Tool to run operations on Celery/Redis in production # this is a work in progress and isn't completely put together yet # but can serve as a stub for future operations import argparse import logging from logging import getLogger from redis import Redis from onyx.background.celery.celery_redis import celery_get_queu...
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backend/scripts/update_recommended_models.py
.py
"""Regenerate recommended-models.json from the OpenRouter model catalog. Applies the curation rules in update_recommended_models_rules.json (trusted vendors + model-family regexes) to the official OpenRouter catalog (https://openrouter.ai/api/v1/models) and rewrites backend/onyx/llm/well_known_providers/recommended-mo...
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backend/scripts/sources_selection_analysis.py
.py
import argparse import json import os import sys import time from datetime import datetime from os import listdir from os.path import isfile, join from typing import Optional import requests from onyx.configs.constants import FASTAPI_USERS_AUTH_COOKIE_NAME parent_dir = os.path.dirname(os.path.dirname(os.path.abspath...
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backend/scripts/reset_postgres.py
.py
import os import sys import psycopg2 from sqlalchemy.orm import Session from onyx.db.engine.sql_engine import get_sqlalchemy_engine # makes it so `PYTHONPATH=.` is not required when running this script parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.append(parent_dir) from onyx.con...
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backend/scripts/add_connector_creation_script.py
.py
from typing import Any, Dict import requests API_SERVER_URL = "http://localhost:3000" # Adjust this to your Onyx server URL HEADERS = {"Content-Type": "application/json"} API_KEY = "onyx-api-key" # API key here, if auth is enabled def create_connector( name: str, source: str, input_type: str, conn...
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backend/scripts/run_enterpriserag_bench_questions.py
.py
from __future__ import annotations import argparse import asyncio import json import logging import sys import time from dataclasses import asdict, dataclass from pathlib import Path from typing import Any, TypedDict, TypeGuard import aiohttp logging.basicConfig( level=logging.INFO, format="%(asctime)s %(lev...
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backend/scripts/coding_agent_test.py
.py
"""Manual test harness for the coding-agent loop. Usage (from repo root, with venv active and Onyx services running): source .venv/bin/activate python -m backend.scripts.coding_agent_test \\ --repo onyx-dot-app/onyx \\ --query "What does the docprocessing celery worker do?" Optional flags: ...
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backend/scripts/dev_run_background_jobs.py
.py
import os import subprocess import threading BACKEND_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) def monitor_process(process_name: str, process: subprocess.Popen) -> None: assert process.stdout is not None while True: output = process.stdout.readline() if output: ...
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backend/scripts/transform_openapi_for_docs.py
.py
""" Transform OpenAPI schema for public documentation. Filters endpoints tagged with "public", converts auth to Bearer token, and removes internal parameters (tenant_id, db_session). Usage: python scripts/transform_openapi_for_docs.py -i generated/openapi.json -o openapi_docs.json """ import argparse import copy...
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backend/scripts/test-openapi-key.py
.py
VALID_MODEL_LIST = [ "gpt-4o-mini", "gpt-4o", "gpt-4-1106-preview", "gpt-4-vision-preview", "gpt-4", "gpt-4-0314", "gpt-4-0613", "gpt-4-32k", "gpt-4-32k-0314", "gpt-4-32k-0613", "gpt-3.5-turbo-0125", "gpt-3.5-turbo-1106", "gpt-3.5-turbo", "gpt-3.5-turbo-16k", ...
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backend/scripts/dev_celery_reload.py
.py
"""Run a celery worker with watchfiles hot-reload, preserving VSCode breakpoints. LOAD-BEARING: referenced by every "Celery <name>" configuration in .vscode/launch.json (both local and k8s variants). Deleting or renaming this file will break the vscode debugger for celery. See also CONTRIBUTING.md ("VSCode Debugger") ...
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backend/scripts/orphan_doc_cleanup_script.py
.py
import concurrent.futures import os import sys from sqlalchemy import text from sqlalchemy.orm import Session from onyx.document_index.document_index_utils import get_multipass_config # makes it so `PYTHONPATH=.` is not required when running this script parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__...
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backend/scripts/env_inventory.py
.py
"""Environment-variable inventory for the Onyx backend. AST-walks the backend (and optionally the frontend) to build a canonical manifest of every environment variable the code actually reads, then cross-references the deployment files (docker-compose env templates + Helm values/configmap) to surface drift: * read-...
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backend/scripts/seed_dev_license.py
.py
"""Seed a dev license blob into the DB for CI test environments. Usage (docker): docker exec -e ONYX_DEV_LICENSE onyx-api_server-1 \ python -m scripts.seed_dev_license Reads ONYX_DEV_LICENSE from the environment. Empty values no-op so the script can be invoked unconditionally (e.g. local dev runs without ...
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onyx
backend/scripts/force_delete_connector_by_id.py
.py
import argparse import os import sys from sqlalchemy import delete from sqlalchemy.orm import Session from onyx.db.document import delete_documents_complete__no_commit from onyx.db.enums import ConnectorCredentialPairStatus from onyx.db.search_settings import get_active_search_settings from onyx.db.tag import delete_...
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backend/scripts/api_inference_sample.py
.py
# This file is used to demonstrate how to use the backend APIs directly # In this case, the equivalent of asking a question in Onyx Chat in a new chat session import argparse import json import os import requests def create_new_chat_session(onyx_url: str, api_key: str | None) -> int: headers = {"Authorization": ...
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backend/scripts/chat_feedback_dump.py
.py
# This file is used to demonstrate how to use the backend APIs directly # to query out feedback for all messages import argparse import logging from logging import getLogger from typing import Any from uuid import UUID import requests from ee.onyx.server.query_history.api import ChatSessionSnapshot from onyx.server.m...
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backend/scripts/resume_paused_connectors.py
.py
import argparse import requests API_SERVER_URL = "http://localhost:3000" API_KEY = "onyx-api-key" # API key here, if auth is enabled def resume_paused_connectors( api_server_url: str, api_key: str | None, specific_connector_sources: list[str] | None = None, ) -> None: headers = {"Content-Type": "ap...
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onyx
backend/scripts/query_time_check/seed_dummy_docs.py
.py
""" launch: - api server - postgres - vespa - model server (this is only needed so the api server can startup, no embedding is done) Run this script to seed the database with dummy documents. Then run test_query_times.py to test query times. """ import random from datetime import datetime from onyx.access.models imp...
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backend/scripts/lib/logger.py
.py
from __future__ import annotations import logging import os import sys # Detect CI environment IS_CI = os.getenv("CI", "").lower() == "true" IS_DEBUG = os.getenv("DEBUG", "").lower() == "true" # ANSI color codes for local terminal GRAY = "\033[90m" RED = "\033[91m" YELLOW = "\033[93m" CYAN = "\033[96m" RESET = "\033...
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onyx
backend/scripts/debugging/onyx_redis.py
.py
import argparse import json import logging import sys import time from enum import Enum from logging import getLogger from typing import cast from uuid import UUID from redis import Redis from ee.onyx.db.user_tenant_mapping import get_tenant_id_for_email from onyx.auth.invited_users import get_invited_users, write_in...
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backend/scripts/debugging/onyx_list_tenants.py
.py
#!/usr/bin/env python3 """ Tenant List Script Simple script to list the tenant IDs in the database. Used by the parallel migration script to determine how to split work. Usage: ``` # List one tenant per line (default) PYTHONPATH=. python scripts/debugging/onyx_list_tenants.py # Output as CSV (all on one line) PYTHO...
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backend/scripts/debugging/onyx_vespa_schemas.py
.py
"""Tool to generate all supported schema variations for Onyx Cloud's Vespa database. Usage: ``` PYTHONPATH=. python scripts/debugging/onyx_vespa_schemas.py ``` Then, paste them into the existing vespa schema downloaded from the Vespa console, and then re-zip. """ import argparse import os from pathlib import Path ...
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backend/scripts/debugging/debug_usage_limits.py
.py
#!/usr/bin/env python3 """ Debug script to fetch usage limit overrides from the control plane. Run this from within a data plane pod to diagnose usage limits issues. Usage: python debug_usage_limits.py Environment variables required: - DATA_PLANE_SECRET: Secret for generating JWT tokens - CONTROL_PLANE_AP...
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backend/scripts/debugging/onyx_db.py
.py
"""Onyx Database tool""" import os # hack to work around excessive use of globals in other functions os.environ["MULTI_TENANT"] = "True" if True: # noqa: E402 import argparse import csv import heapq from pydantic import BaseModel from sqlalchemy import func from onyx.db.engine.sql_engine i...
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backend/scripts/debugging/litellm/directly_hit_azure_api.py
.py
#!/usr/bin/env python3 """ Directly hit Azure OpenAI endpoints for debugging. This script bypasses LiteLLM and directly calls Azure OpenAI APIs. Uses URL and API key constants plus a payload.json in the same directory. Usage: python directly_hit_azure_api.py """ from __future__ import annotations import json fr...
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backend/scripts/debugging/litellm/call_litellm.py
.py
#!/usr/bin/env python3 """ Test LiteLLM integration and output raw stream events. This script uses Onyx's LiteLLM instance (with monkey patches) to make a completion request and outputs the raw stream events as JSON, one per line. Usage: # Set environment variables if needed: export LITELLM_DEBUG=1 # Optiona...
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backend/scripts/debugging/opensearch/embed_and_save.py
.py
#!/usr/bin/env python3 """Embeds a query and saves the embedding to a file. Requires Onyx to be running as it reads search settings from the database. Usage: source .venv/bin/activate python backend/scripts/debugging/opensearch/embed_and_save.py --help """ import argparse import time from scripts.debugging....
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backend/scripts/debugging/opensearch/embedding_io.py
.py
from shared_configs.model_server_models import Embedding def load_query_embedding_from_file(file_path: str) -> Embedding: """Returns an embedding vector read from a file. The file should be formatted as follows: - The first line should contain an integer representing the embedding dimension. - ...
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backend/scripts/debugging/opensearch/query_hierarchy_debug.py
.py
#!/usr/bin/env python3 """ Debug utility for querying and inspecting hierarchy data in OpenSearch. This script connects to OpenSearch and allows you to: - Query documents by ID and view their hierarchy ancestor node IDs - List documents that have hierarchy data Usage: python query_hierarchy_debug.py --document-id...
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backend/scripts/debugging/opensearch/benchmark_retrieval.py
.py
#!/usr/bin/env python3 """Benchmarks OpenSearchDocumentIndex latency. Requires Onyx to be running as it reads search settings from the database. Usage: source .venv/bin/activate python backend/scripts/debugging/opensearch/benchmark_retrieval.py --help """ import argparse import statistics import time from s...
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backend/scripts/debugging/opensearch/opensearch_debug.py
.py
#!/usr/bin/env python3 """A utility to interact with OpenSearch. Example Usage: Assuming running from ~/onyx/ source .venv/bin/activate python backend/scripts/debugging/opensearch/opensearch_debug.py --help python backend/scripts/debugging/opensearch/opensearch_debug.py list python ...
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backend/scripts/tenant_cleanup/cleanup_utils.py
.py
import csv import os import random import subprocess import sys from dataclasses import dataclass from pathlib import Path class TenantNotFoundInControlPlaneError(Exception): """Exception raised when tenant/table is not found in control plane.""" @dataclass class ControlPlaneConfig: """Configuration for con...
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backend/scripts/tenant_cleanup/activity_utils.py
.py
from collections.abc import Mapping, Sequence from datetime import datetime CRAFT_ACTIVITY_FIELD = "last_craft_activity_time" ACTIVITY_CSV_FIELDNAMES = ( "last_query_time", CRAFT_ACTIVITY_FIELD, "last_activity_time", "days_since_last_activity", ) def _parse_activity_time(value: object) -> datetime | ...
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backend/scripts/tenant_cleanup/mark_connectors_for_deletion.py
.py
#!/usr/bin/env python3 """ Mark connectors for deletion script that: 1. Finds all connectors for the specified tenant(s) 2. Cancels any scheduled indexing attempts 3. Marks each connector credential pair as DELETING 4. Triggers the cleanup task Usage: python backend/scripts/tenant_cleanup/mark_connectors_for_delet...
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backend/scripts/tenant_cleanup/no_bastion_cleanup_tenants.py
.py
#!/usr/bin/env python3 """ Tenant cleanup script that works WITHOUT bastion access. All queries run directly from pods. Supports two-cluster architecture (data plane and control plane in separate clusters). Usage: PYTHONPATH=. python scripts/tenant_cleanup/no_bastion_cleanup_tenants.py <tenant_id> \ --data...
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backend/scripts/tenant_cleanup/no_bastion_cleanup_utils.py
.py
""" Cleanup utilities that work WITHOUT bastion access. Control plane and data plane are in SEPARATE clusters. """ import csv import json import re import subprocess import sys from pathlib import Path class TenantNotFoundInControlPlaneError(Exception): """Exception raised when tenant/table is not found in contr...
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backend/scripts/tenant_cleanup/cleanup_tenants.py
.py
#!/usr/bin/env python3 """ Tenant cleanup script that: 1. Deletes all documents from Vespa 2. Drops the data plane PostgreSQL schema 3. Clean up control plane (tenants, subscription table) Usage: python backend/scripts/cleanup_tenant.py <tenant_id> [--force] python backend/scripts/cleanup_tenant.py --csv <csv_...
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backend/scripts/tenant_cleanup/no_bastion_analyze_tenants.py
.py
#!/usr/bin/env python3 """ Tenant analysis script that works WITHOUT bastion access. Control plane and data plane are in SEPARATE clusters. Usage: PYTHONPATH=. python scripts/tenant_cleanup/no_bastion_analyze_tenants.py \ [--skip-cache] \ [--data-plane-context <context>] \ [--control-plane-...
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backend/scripts/tenant_cleanup/check_no_bastion_setup.py
.py
#!/usr/bin/env python3 """ Verification script to check if your environment is ready for no-bastion tenant cleanup. Usage: python scripts/tenant_cleanup/check_no_bastion_setup.py """ import subprocess import sys def print_header(text: str) -> None: """Print a formatted header.""" print(f"\n{'=' * 80}") ...
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backend/scripts/tenant_cleanup/analyze_current_tenants.py
.py
#!/usr/bin/env python3 """ Full tenant analysis script that: 1. Finds a heavy worker pod 2. Runs the tenant data collection script on the pod 3. Analyzes the collected data """ import argparse import csv import json import os import subprocess import sys from datetime import datetime, timedelta, timezone from pathlib ...
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backend/scripts/tenant_cleanup/no_bastion_mark_connectors.py
.py
#!/usr/bin/env python3 """ Mark connectors for deletion script that works WITHOUT bastion access. All queries run directly from pods. Supports two-cluster architecture (data plane and control plane in separate clusters). Usage: PYTHONPATH=. python scripts/tenant_cleanup/no_bastion_mark_connectors.py <tenant_id> \ ...
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backend/scripts/tenant_cleanup/on_pod_scripts/get_tenant_index_name.py
.py
#!/usr/bin/env python3 """ Script to get the default index name for a tenant. Designed to be run on a heavy worker pod. Usage: python get_tenant_index_name.py <tenant_id> """ import json import sys from onyx.db.engine.sql_engine import SqlEngine, get_session_with_tenant from onyx.db.search_settings import get_cu...
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backend/scripts/tenant_cleanup/on_pod_scripts/execute_connector_deletion.py
.py
#!/usr/bin/env python3 """ Script to mark connector credential pairs for deletion. Runs on a Kubernetes pod with access to the data plane database. Usage: # Mark a specific connector for deletion python mark_connector_for_deletion.py <tenant_id> <cc_pair_id> # Mark all connectors for deletion python m...
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backend/scripts/tenant_cleanup/on_pod_scripts/understand_tenants.py
.py
import json import sys from typing import Any from sqlalchemy import text from sqlalchemy.exc import ProgrammingError from sqlalchemy.orm import Session from onyx.db.engine.sql_engine import SqlEngine, get_session_with_shared_schema def get_tenant_activity_summary(session: Session) -> list[dict[str, Any]]: """R...
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backend/scripts/tenant_cleanup/on_pod_scripts/cleanup_tenant_schema.py
.py
#!/usr/bin/env python3 """ Script to drop a tenant's PostgreSQL schema. Designed to be run on a heavy worker pod. Usage: python cleanup_tenant_schema.py <tenant_id> """ import json import sys from sqlalchemy import text from onyx.db.engine.shard_registry import get_engine_for_shard, get_shard_specs from onyx.db...
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backend/scripts/tenant_cleanup/on_pod_scripts/get_tenant_connectors.py
.py
#!/usr/bin/env python3 """ Script to fetch connector credential pairs for a tenant. Runs on a Kubernetes pod with access to the data plane database. Usage: python get_tenant_connectors.py <tenant_id> Output: JSON to stdout with structure: { "status": "success" | "error", "connectors": [ ...
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backend/scripts/tenant_cleanup/on_pod_scripts/get_tenant_users.py
.py
#!/usr/bin/env python3 """ Script to fetch user emails from a tenant's data plane schema. Must be run on a pod with access to the data plane PostgreSQL database. Usage: python get_tenant_users.py <tenant_id> Output: JSON object with status and users list """ import json import sys from sqlalchemy import sel...
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backend/scripts/tenant_cleanup/on_pod_scripts/check_documents_deleted.py
.py
#!/usr/bin/env python3 """ Script to check for remaining ConnectorCredentialPairs and Documents in a tenant's schema. Must be run on a pod with access to the data plane PostgreSQL database. Usage: python check_documents_deleted.py <tenant_id> Output: JSON object with status, message, and counts of remaining r...
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backend/alembic_tenants/env.py
.py
import asyncio from logging.config import fileConfig from sqlalchemy import pool from sqlalchemy.engine import Connection from sqlalchemy.ext.asyncio import create_async_engine from alembic import context from onyx.db.engine.pg_ssl import create_pg_ssl_context from onyx.db.engine.sql_engine import build_connection_st...
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backend/alembic_tenants/versions/3b45e0018bf1_add_new_available_tenant_table.py
.py
"""add new available tenant table Revision ID: 3b45e0018bf1 Revises: ac842f85f932 Create Date: 2025-03-06 09:55:18.229910 """ import sqlalchemy as sa from alembic import op # revision identifiers, used by Alembic. revision = "3b45e0018bf1" down_revision = "ac842f85f932" branch_labels = None depends_on = None def...
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backend/alembic_tenants/versions/3b9f09038764_add_read_only_kg_user.py
.py
"""add_db_readonly_user Revision ID: 3b9f09038764 Revises: 3b45e0018bf1 Create Date: 2025-05-11 11:05:11.436977 """ from sqlalchemy import text from alembic import op from onyx.configs.app_configs import DB_READONLY_PASSWORD from onyx.configs.app_configs import DB_READONLY_USER # revision identifiers, used by Alem...
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backend/alembic_tenants/versions/ac842f85f932_new_column_user_tenant_mapping.py
.py
"""new column user tenant mapping Revision ID: ac842f85f932 Revises: 34e3630c7f32 Create Date: 2025-03-03 13:30:14.802874 """ import sqlalchemy as sa from alembic import op # revision identifiers, used by Alembic. revision = "ac842f85f932" down_revision = "34e3630c7f32" branch_labels = None depends_on = None def...
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backend/alembic_tenants/versions/a4f6ee863c47_mapping_for_anonymous_user_path.py
.py
"""mapping for anonymous user path Revision ID: a4f6ee863c47 Revises: 14a83a331951 Create Date: 2025-01-04 14:16:58.697451 """ import sqlalchemy as sa from alembic import op # revision identifiers, used by Alembic. revision = "a4f6ee863c47" down_revision = "14a83a331951" branch_labels = None depends_on = None de...
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backend/alembic_tenants/versions/d4e7a92c1b38_add_tenant_invite_counter.py
.py
"""add_tenant_invite_counter_table Revision ID: d4e7a92c1b38 Revises: 3b9f09038764 Create Date: 2026-04-20 18:00:00.000000 Adds `public.tenant_invite_counter`, the lifetime invite-quota counter used by the trial-tenant cap in `bulk_invite_users`. One row per tenant; holds a monotonically-incremented total of invites ...
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backend/alembic_tenants/versions/14a83a331951_create_usertenantmapping_table.py
.py
import sqlalchemy as sa from alembic import op # revision identifiers, used by Alembic. revision = "14a83a331951" down_revision = None branch_labels = None depends_on = None def upgrade() -> None: op.create_table( "user_tenant_mapping", sa.Column("email", sa.String(), nullable=False), sa...
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backend/alembic_tenants/versions/8f3d2c7b91ae_add_user_tenant_mapping_oauth_account.py
.py
"""add user tenant mapping oauth account table Revision ID: 8f3d2c7b91ae Revises: b1c4e9d72f38 Create Date: 2026-07-29 20:14:03.117204 """ import sqlalchemy as sa from alembic import op # revision identifiers, used by Alembic. revision = "8f3d2c7b91ae" down_revision = "b1c4e9d72f38" branch_labels = None depends_on...
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backend/alembic_tenants/versions/b1c4e9d72f38_add_tenant_shard_map.py
.py
"""add tenant shard map Adds the tenant -> physical database ("shard") mapping used to route sessions when tenants are spread across more than one Postgres database. Deliberately not backfilled: a tenant with no row lives on the default shard, so this table stays empty until tenants are actually migrated, and existin...
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backend/alembic_tenants/versions/34e3630c7f32_lowercase_multi_tenant_user_auth.py
.py
"""lowercase multi-tenant user auth Revision ID: 34e3630c7f32 Revises: a4f6ee863c47 Create Date: 2025-02-26 15:03:01.211894 """ from alembic import op # revision identifiers, used by Alembic. revision = "34e3630c7f32" down_revision = "a4f6ee863c47" branch_labels = None depends_on = None def upgrade() -> None: ...
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backend/shared_configs/model_server_models.py
.py
from pydantic import BaseModel from shared_configs.enums import EmbeddingProvider, EmbedTextType, RerankerProvider Embedding = list[float] class EmbedRequest(BaseModel): texts: list[str] # Can be none for cloud embedding model requests, error handling logic exists for other cases model_name: str | None ...
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backend/shared_configs/utils.py
.py
from typing import TypeVar T = TypeVar("T") def batch_list( lst: list[T], batch_size: int, ) -> list[list[T]]: return [lst[i : i + batch_size] for i in range(0, len(lst), batch_size)]
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backend/shared_configs/configs.py
.py
import os from typing import Any, List from urllib.parse import urlparse # Used for logging SLACK_CHANNEL_ID = "channel_id" # Skip model warmup at startup # Default to True (skip warmup) if not set, otherwise respect the value SKIP_WARM_UP = os.environ.get("SKIP_WARM_UP", "true").lower() == "true" # Check if model s...
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backend/shared_configs/enums.py
.py
from enum import Enum class EmbeddingProvider(str, Enum): OPENAI = "openai" COHERE = "cohere" VOYAGE = "voyage" GOOGLE = "google" LITELLM = "litellm" AZURE = "azure" class RerankerProvider(str, Enum): COHERE = "cohere" LITELLM = "litellm" BEDROCK = "bedrock" class EmbedTextType...
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backend/shared_configs/contextvars.py
.py
import contextvars from typing import NamedTuple from shared_configs.configs import MULTI_TENANT, POSTGRES_DEFAULT_SCHEMA from shared_configs.enums import UsageCredentialType # Context variable for the current tenant id CURRENT_TENANT_ID_CONTEXTVAR: contextvars.ContextVar[str | None] = ( contextvars.ContextVar( ...
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loadtest/locustfile.py
.py
"""Locust entrypoint for Onyx chat load tests. With no user classes named, the default weighted mix runs (BasicChat 70 / ChatWithSearch 20 / MultiTool 8 / DeepResearch 2); name a class to run a targeted reproducer (LongConversationUser, DisconnectUser). For the worker / threadpool concurrency sweep, name ThreadHogUser...
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loadtest/prometheus_exporter.py
.py
"""Locust integration for the Prometheus collector. Imported for its side effect (the init listener) by locustfile.py. On the master/standalone runner it registers the collector and serves /metrics on a dedicated port (default 9646; set LOCUST_PROMETHEUS_PORT to override) so chat milestone latency / failure rate can b...
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loadtest/shapes.py
.py
"""Staged ramp for collapse-point hunting. StepRampShape holds the user count at successive plateaus so the knee where the system stops keeping up is visible in the timeline. Opt-in only: the locustfile binds it when ONYX_SHAPE=stepramp, since Locust auto-activates any shape it finds and overrides -u/-r. Tune via ONYX...
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loadtest/prometheus_collector.py
.py
"""Prometheus collector for Locust stats — pure prometheus_client, no locust import (so it stays gevent-free and unit-testable alongside the fastapi tests). The locust integration (init listener + http server) lives in prometheus_exporter.py, which is imported by locustfile.py for its side effect. """ from __future__...
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loadtest/onyx_client/chat_user.py
.py
"""Locust user that drives the Onyx chat streaming endpoint. Each turn POSTs /api/chat/send-chat-message with stream=True and consumes the NDJSON response line by line, firing a named pseudo-request the moment each milestone packet arrives: <prefix>:first_packet — time to first stream line <prefix>:fi...
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loadtest/onyx_client/env.py
.py
"""Small env-var parsing helpers shared across users and scenarios.""" from __future__ import annotations import os def env_float(name: str, default: float) -> float: raw = os.environ.get(name) return float(raw) if raw else default def env_int(name: str, default: int) -> int: raw = os.environ.get(name...
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loadtest/onyx_client/stream_parser.py
.py
"""Incremental parser for the Onyx chat NDJSON stream. Vendored from backend/tests/integration/common_utils/managers/chat.py (analyze_response) and backend/onyx/server/query_and_chat/streaming_models.py, restructured to process one line at a time so milestone latencies can be recorded the moment a packet arrives. MUS...
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loadtest/scenarios/thread_hog.py
.py
"""Deterministic thread-occupancy driver for the worker / threadpool sweep. Each turn streams a deliberately slow mock response, so the api-server holds one anyio threadpool thread (the chat stream is a sync generator) for the whole turn. Pile up enough concurrent ThreadHogUsers and the pool saturates — the failure mo...
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loadtest/scenarios/__init__.py
.py
from scenarios.chat_with_search import ChatWithSearchUser from scenarios.compression import CompressionUser from scenarios.deep_research import DeepResearchUser from scenarios.disconnect import DisconnectUser from scenarios.file_attachment import FileAttachmentUser from scenarios.health_probe import HealthProbeUser fro...
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loadtest/scenarios/disconnect.py
.py
"""Client drops the stream mid-turn (default: after the first answer token) to exercise server-side disconnect cleanup (held transactions/connections/ buffers). Recorded as `<prefix>:disconnected`, not a failure. Run on its own (not in the default mix). See README. """ from __future__ import annotations import os fr...
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loadtest/scenarios/compression.py
.py
"""Long-history chat that drives the summarization / compression path. Builds on LongConversationUser: keeps one session alive for many turns and sends large messages (default ONYX_MSG_CHARS), so the history quickly crosses the model's input-token limit and Onyx summarizes/recompresses it every turn. This is the path ...
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loadtest/scenarios/file_attachment.py
.py
"""Chat turns that carry a file attachment. Each user uploads one file up front, then attaches it to every message. This exercises the chat-setup path that loads attached files from object storage (MinIO/S3) inside `build_chat_turn` *while the DB connection is held* — the suspected connection-pool-hold contributor tha...
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loadtest/scenarios/deep_research.py
.py
"""Deep research turn. No special model knobs are needed: the DR orchestrator and research agents call the LLM with tool_choice=REQUIRED, and the mock's branching handles the whole sequence statelessly — clarification (`generate_plan`), plan text, research_agent spawn (parallelism via the `-agents<N>` knob), per-agent...
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loadtest/scenarios/health_probe.py
.py
"""Health-probe user for the worker / threadpool concurrency experiment. Hits the api-server /health endpoint on a fixed cadence, independent of the chat load, and fails any probe slower than the liveness SLA. Run it alongside a heavy chat workload (ThreadHogUser or DeepResearchUser) and watch the ``HEALTH:probe`` fai...
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loadtest/scenarios/multi_tool.py
.py
"""Chat turn that calls several retrieval tools in parallel (the `-tools3` knob), exercising concurrent tool execution within one turn. Degrades to a single search if the persona offers fewer tools. Part of the default mix. """ from __future__ import annotations import os from onyx_client.chat_user import OnyxChatUs...
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loadtest/scenarios/long_conversation.py
.py
"""Long multi-turn chat: grows one session's history to stress the full-history load / token-counting / compression path that single-turn runs never reach. Run on its own (not in the default mix). See README. """ from __future__ import annotations import os from onyx_client.chat_user import OnyxChatUser from onyx_cl...
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loadtest/scenarios/chat_with_search.py
.py
"""Chat turn that exercises the search tool path. The `-tools1` model knob makes the mock LLM answer the first AUTO-tool-choice cycle with an `internal_search` tool call, so Onyx genuinely executes the search tool: query expansion, embedding model server, Vespa/OpenSearch retrieval, document streaming. The follow-up L...
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loadtest/mock_llm/app.py
.py
"""Mock OpenAI-compatible LLM server for Onyx load testing. The whole point: drive unlimited LLM call volume at zero cost with deterministic timing, so load tests measure Onyx's application code and infrastructure — never answer quality or a real provider's latency. Register in Onyx as an `openai_compatible` provider...
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loadtest/mock_llm/models.py
.py
"""Pydantic models for the mock LLM server's OpenAI-compatible wire format. Request models use extra="allow" and optional fields throughout: litellm sends provider-specific extras (stream_options, user, etc.) and the mock must never 422 a request the real OpenAI API would accept. """ from __future__ import annotation...
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loadtest/tests/test_stream_parser.py
.py
"""Tests for the NDJSON parser's milestone + message-id extraction.""" from __future__ import annotations import json from onyx_client.stream_parser import ( FIRST_ANSWER_TOKEN, FIRST_PACKET, ChatStreamAnalyzer, ) def _feed_all(analyzer: ChatStreamAnalyzer, lines: list[str]) -> list[str]: hit: list...
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loadtest/tests/test_exporter.py
.py
"""Tests for the Locust Prometheus collector. Uses lightweight fakes for the runner/stats so it imports neither locust nor gevent — keeping it safe to run in the same pytest session as the fastapi mock_llm tests. """ from __future__ import annotations from typing import Any from prometheus_collector import LocustCo...
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loadtest/tests/test_mock_llm.py
.py
"""Contract tests for the mock LLM server. Each test replays the exact request shapes Onyx's LLM loops send (per backend/onyx/chat/llm_loop.py, llm_step.py and deep_research/dr_loop.py) and asserts the mock responds the way those loops need to make progress. Run: uv run pytest tests/ -q """ from __future__ import a...
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MoneyPrinterV2
tests/test_config.py
.py
import json import os import sys import tempfile import unittest from unittest.mock import patch ROOT_DIR = os.path.dirname(os.path.dirname(__file__)) SRC_DIR = os.path.join(ROOT_DIR, "src") if SRC_DIR not in sys.path: sys.path.insert(0, SRC_DIR) import config class PostBridgeConfigTests(unittest.TestCase): ...
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MoneyPrinterV2
tests/test_post_bridge_client.py
.py
import os import sys import unittest from unittest.mock import Mock from unittest.mock import patch ROOT_DIR = os.path.dirname(os.path.dirname(__file__)) SRC_DIR = os.path.join(ROOT_DIR, "src") if SRC_DIR not in sys.path: sys.path.insert(0, SRC_DIR) from classes.PostBridge import PostBridge class MockResponse...
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MoneyPrinterV2
tests/test_post_bridge_integration.py
.py
import os import sys import tempfile import unittest from unittest.mock import Mock from unittest.mock import patch ROOT_DIR = os.path.dirname(os.path.dirname(__file__)) SRC_DIR = os.path.join(ROOT_DIR, "src") if SRC_DIR not in sys.path: sys.path.insert(0, SRC_DIR) from post_bridge_integration import maybe_cros...
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MoneyPrinterV2
tests/test_cron_post_bridge.py
.py
import os import sys import types import unittest from unittest.mock import Mock from unittest.mock import patch ROOT_DIR = os.path.dirname(os.path.dirname(__file__)) SRC_DIR = os.path.join(ROOT_DIR, "src") if SRC_DIR not in sys.path: sys.path.insert(0, SRC_DIR) fake_kittentts = types.ModuleType("kittentts") fa...
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