diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..eea53348b56503433d1d8003721df6ddfc1ce01c --- /dev/null +++ b/.dockerignore @@ -0,0 +1,32 @@ +# build context gọn — chỉ src/app/requirements/model/worker vào image +poolcoach-env/ +venv/ +.venv/ +__pycache__/ +*.py[cod] +.git/ +data/ +logs/ +runs/ +tb_logs/ +examples/ +*.zip +*.png +*.mp4 +.pooltool/ +tests/ +requirements-dev.txt +# scripts/ bị loại TRỪ cv_worker.py — mode "local" (14/08) nạp file này +# bằng đường dẫn để chạy CV worker trong tiến trình app. Train/eval/diag +# không có việc gì trong image. +scripts/ +!scripts/cv_worker.py +# models bị loại TRỪ đúng 2 file model đang chạy (COPY đích danh trong +# Dockerfile). qfield.pt là model RL của app gợi ý cũ — engine V2 không nạp +# net từ 31/07/2026 nên KHÔNG vào image nữa. +models/ +!models/cv_full_20260805/best.pt +!models/shotnet_20260812_c4b/best.pt +# Video mẫu ĐÃ PHÂN TÍCH SẴN (14/08): ngoại lệ của dòng *.mp4 ở trên — đây +# là thứ làm cho "mở link thấy ngay danh sách cú" chạy được trên Space. +!app/demo_analyzer/**/*.mp4 diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..c63391c3e9cd896d5e5bbb80c7412aa3ffffa7ea --- /dev/null +++ b/Dockerfile @@ -0,0 +1,86 @@ +# PoolCoach — Hugging Face Spaces (Docker SDK) / VPS. +# HF tự build trên server của họ khi push — máy local KHÔNG cần Docker. +# Chi tiết: Documents/PoolCoach_Deploy_HFSpaces.md (repo poolcoach-docs). +# +# 14/08/2026 (BRIEF việc B): image này giờ chạy **Analyzer** (video → danh +# sách cú), không chỉ app gợi ý như bản 23/07. Ba thay đổi lớn, mỗi cái có +# lý do đứng riêng: +# +# 1. torch CPU + ultralytics + cv2 QUAY LẠI image (bản 23/07 đã gỡ vì engine +# ZonePlanner V2 không nạp net). Analyzer thì cần: detector bàn/bi, ShotNet +# c4b, decode video. Bản CPU lấy từ index pytorch riêng — bản PyPI là CUDA +# ~2.5GB cho một Space không có GPU. +# 2. MỘT tiến trình, không Redis, không worker rời: `POOLCOACH_LOCAL_CV=1` +# bật mode "local" (app/jobqueue.py) — transport fakeredis trong tiến +# trình + một LUỒNG gọi đúng hàm của scripts/cv_worker.py (app/localcv.py). +# Space free là một container; nuôi Redis + 2 worker ở đó là ba tiến +# trình và hai lần JIT pooltool trên 2 vCPU. +# 3. Ghi ở đâu: HF chạy container bằng uid 1000, /code là read-only với nó. +# Mọi thứ CẦN GHI phải ra /tmp — cache numba/mpl/ultralytics VÀ thư mục +# kết quả Analyzer (POOLCOACH_ANALYZER_DIR). Thiếu là app chết lúc +# runtime chứ không phải lúc build. + +FROM python:3.12-slim + +WORKDIR /code + +# uid 1000 phải CÓ TRONG /etc/passwd, không chỉ "được ghi ở đâu đó". +# Đo được 14/08 khi chạy thử image bằng `docker run --user 1000:1000`: +# luồng CV chết ngay lúc nạp model với `KeyError: getpwuid(): uid not +# found: 1000` — thư viện (ultralytics/torch) hỏi HOME qua pwd, mà uid 1000 +# không có entry thì ném KeyError chứ không fallback. App vẫn sống (luồng +# nhúng tự bắt lỗi) nhưng tab Analyzer chết câm trên Space. `-m` để +# /home/user tồn tại và thuộc uid 1000. +RUN useradd -m -u 1000 user + +# ffmpeg : cắt clip per cú (cv_worker.cut_clip) + ffprobe đo thời lượng +# lúc upload (app/main.py). Thiếu ffmpeg thì mọi cú thành +# "ffmpeg không cắt được clip" — hỏng đúng tính năng chính. +# libgl1 + libglib2.0-0 : opencv-python (bản không headless) cần libGL.so.1 +RUN apt-get update && apt-get install -y --no-install-recommends \ + ffmpeg libgl1 libglib2.0-0 \ + && rm -rf /var/lib/apt/lists/* + +RUN pip install --no-cache-dir uv + +# torch CPU ở bước RIÊNG với --index-url CHỈ trỏ index CPU của pytorch — +# không được trộn với PyPI ở bước này, nếu không resolver có quyền chọn bản +# CUDA. Bước sau pin lại đúng hai phiên bản này (requirements-cv-cpu.txt) để +# ultralytics không kéo torch khác đè lên. +RUN uv pip install --system --index-url https://download.pytorch.org/whl/cpu \ + torch==2.12.1 torchvision==0.27.1 + +# deps trước để tận dụng layer cache (requirements.txt đã chứa +# --extra-index-url archive.panda3d.org cho panda3d 1.11 dev) +COPY requirements.txt requirements-app.txt requirements-cv-cpu.txt ./ +RUN uv pip install --system --index-strategy unsafe-best-match \ + -r requirements.txt -r requirements-app.txt -r requirements-cv-cpu.txt + +COPY src ./src +COPY app ./app +# CHỈ file worker, không cả scripts/ (train/eval/diag không thuộc image). +# Mode "local" nạp nó bằng đường dẫn — xem app/localcv.py. +COPY scripts/cv_worker.py ./scripts/cv_worker.py +# Đúng HAI model, đích danh: detector bàn/bi + ShotNet c4b đang chạy app. +# Cả models/ còn lại (mấy chục run RL/CV cũ) KHÔNG vào image. +COPY models/cv_full_20260805/best.pt ./models/cv_full_20260805/best.pt +COPY models/shotnet_20260812_c4b/best.pt ./models/shotnet_20260812_c4b/best.pt + +# HF Spaces chạy container bằng uid 1000 (không ghi được /code): +# trỏ mọi cache/config VÀ thư mục kết quả Analyzer về /tmp. +ENV HOME=/tmp \ + NUMBA_CACHE_DIR=/tmp/numba \ + MPLCONFIGDIR=/tmp/mpl \ + YOLO_CONFIG_DIR=/tmp \ + PYTHONUNBUFFERED=1 \ + POOLCOACH_LOCAL_CV=1 \ + POOLCOACH_CV_DEVICE=cpu \ + POOLCOACH_ANALYZER_DIR=/tmp/analyzer + +EXPOSE 7860 + +# Chạy bằng chính uid HF sẽ dùng — để `docker run` trên máy giống Space, +# không phải phát hiện lỗi quyền sau khi đã push (bài học ngay ở trên). +USER user + +CMD ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"] diff --git a/app/analyzer_store.py b/app/analyzer_store.py new file mode 100644 index 0000000000000000000000000000000000000000..e91503b4c53acf753cfeaaa1ae515a96c59d2dcc --- /dev/null +++ b/app/analyzer_store.py @@ -0,0 +1,153 @@ +"""Bố cục FILE kết quả Analyzer đa cú (lát A1, 13/08/2026) — contract chung +giữa route (app/main.py) và CV worker (scripts/cv_worker.py). + +Vì sao file chứ không Redis: kết quả job từng MẤT THẬT khi chỉ nằm Redis +TTL 1h (BG29b, 13/08). Từ BG31 nếp bắt buộc: JSON per cú ghi ra ĐĨA ngay +khi worker xong; Redis chỉ còn là kênh tiến độ. Module này chỉ stdlib +(json/pathlib/os) — cả venv app lẫn venv CV import được, không kéo thêm dep. + +Bố cục một video (``//``, base mặc định ``data/analyzer`` +— ``data/`` đã gitignore, video bản quyền không bao giờ vào git):: + + video.mp4|.mov upload gốc — XOÁ sau khi scan xong (không đọng) + shots.json manifest: status + danh sách cú (ghi NGAY sau + segmentation, trước khi phân tích cú nào) + shot_01.json ... kết quả per cú: dict result analyze nguyên vẹn, + hoặc {"error", "message"} khi cú phân tích lỗi + thumb_01.jpg ... frame đầu cú (FE bảng §3.1) + overlay_01.mp4 ... overlay per cú (lát A2): render trong job analyze + TRƯỚC khi xoá clip — frame broadcast, chỉ local + clips/shot_01.mp4 ... clip tạm per cú — worker XOÁ sau khi phân tích + +Manifest ``shots.json``:: + + {"status": "done" | "error", "message": , + "video_id", "filename", "fps_nominal", "t_first_s", "t_last_s", + "duration_s", "n_frames", "n_dup_frames", "warnings": [...], + "shots": [{"idx", "t_start_s", "t_end_s", "t_onset_s", "t_settle_s", + "status": "queued" | "error", "reason", + "analyze_id", "clip", "thumb"}, ...]} + +Mốc thời gian trong manifest là giây TUYỆT ĐỐI theo PTS video nạp vào. +""" + +from __future__ import annotations + +import json +import os +from pathlib import Path + +# Trần upload/thời lượng video đa cú — contract chung: route enforce lúc +# POST (ffprobe), worker enforce lần hai trong segment_video (cv2). Video +# đích là "một đoạn trận / một rack" (design §1) — 20 phút là dư cho một +# rack 9-ball, đồng thời chặn nạp nguyên trận 6h (scan sẽ chạy hàng giờ). +VIDEO_MAX_UPLOAD_B = 1 << 30 # 1 GB (~1h broadcast 1080p h264) +VIDEO_MAX_DUR_S = 20 * 60.0 +VIDEO_SUFFIXES = {".mp4", ".mov"} + + +def analyzer_base_dir() -> Path: + """Thư mục gốc kết quả Analyzer — ``data/analyzer`` trong repo (ngoài + git) hoặc env ``POOLCOACH_ANALYZER_DIR``. App và worker cùng máy + (tính năng local-only, nếp BG24) nên cùng đường dẫn.""" + env = os.environ.get("POOLCOACH_ANALYZER_DIR") + if env: + return Path(env) + return Path(__file__).resolve().parents[1] / "data" / "analyzer" + + +def video_dir(video_id: str) -> Path: + return analyzer_base_dir() / video_id + + +def manifest_path(vdir: Path) -> Path: + return vdir / "shots.json" + + +def shot_json_path(vdir: Path, idx: int) -> Path: + return vdir / f"shot_{idx:02d}.json" + + +def thumb_path(vdir: Path, idx: int) -> Path: + return vdir / f"thumb_{idx:02d}.jpg" + + +def overlay_path(vdir: Path, idx: int) -> Path: + """overlay.mp4 per cú (lát A2 phần 3) — render trong job analyze TRƯỚC + khi xoá clip, nằm cạnh JSON. Chứa frame broadcast → chỉ local/demo, + data/ đã gitignore (bản quyền, BRIEF A2).""" + return vdir / f"overlay_{idx:02d}.mp4" + + +def clip_path(vdir: Path, idx: int) -> Path: + return vdir / "clips" / f"shot_{idx:02d}.mp4" + + +def shot_analyze_id(video_id: str, idx: int) -> str: + """analyze_id của job per cú — đoán được từ (video, idx) để route poll + tiến độ mà không cần tra bảng nào.""" + return f"{video_id}s{idx:02d}" + + +def write_json(path: Path, data: dict) -> None: + """Ghi JSON qua file tạm + replace — người đọc không bao giờ thấy file + viết dở (route đọc song song với worker ghi).""" + path.parent.mkdir(parents=True, exist_ok=True) + tmp = path.with_suffix(path.suffix + ".tmp") + tmp.write_text(json.dumps(data, ensure_ascii=False, indent=1), + encoding="utf-8") + os.replace(tmp, path) + + +def read_json(path: Path) -> dict | None: + """None khi file chưa có/đọc hỏng — caller coi là 'chưa có kết quả'.""" + try: + return json.loads(path.read_text(encoding="utf-8")) + except (OSError, ValueError): + return None + + +# ----------------------------------- video mẫu đã phân tích sẵn (14/08) +# Mở app trên máy KHÔNG GPU (Space HF) phải thấy NGAY một danh sách cú thật +# — chờ phân tích lại là mất người xem ngay phút đầu (BRIEF 14/08 việc B: +# "trải nghiệm mở-link-thấy-ngay quan trọng hơn tốc độ phân tích video +# mới"). Bộ mẫu là kết quả ĐÃ LƯU của run c9fda71c, chép nguyên vào repo — +# KHÔNG chạy lại để "làm mới số" (pipeline analyze không tái lập bit qua +# restart worker, đã đo 13-14/08). + +DEMO_SRC_DIR = Path(__file__).resolve().parent / "demo_analyzer" + + +def demo_ids() -> list[str]: + """Id các video mẫu đóng gói trong repo (thư mục con của DEMO_SRC_DIR).""" + if not DEMO_SRC_DIR.is_dir(): + return [] + return sorted(p.name for p in DEMO_SRC_DIR.iterdir() + if p.is_dir() and manifest_path(p).exists()) + + +def seed_demo(base: Path | None = None) -> list[str]: + """Chép video mẫu vào thư mục kết quả nếu chưa có. Trả id đã sẵn sàng. + + Chép chứ không trỏ thẳng: thư mục ảnh Docker chỉ-đọc dưới uid 1000, còn + ``POOLCOACH_ANALYZER_DIR`` thì trỏ chỗ ghi được (/tmp trên HF) — một + đường đọc duy nhất cho MỌI video, không có nhánh "nếu là video mẫu". + Đã có thì KHÔNG đè: người dùng có thể đã xem dở. + + BEST-EFFORT: hỏng chỉ warning (nếp _log_recommend) — thiếu video mẫu là + mất phần trình diễn, không phải mất app. + """ + import shutil + + base = base or analyzer_base_dir() + ok: list[str] = [] + for vid in demo_ids(): + dst = base / vid + try: + if not manifest_path(dst).exists(): + shutil.copytree(DEMO_SRC_DIR / vid, dst, dirs_exist_ok=True) + ok.append(vid) + except OSError as e: + print(f"[poolcoach] WARNING: khong chep duoc video mau {vid}: " + f"{type(e).__name__}: {e}", flush=True) + return ok diff --git a/app/db.py b/app/db.py new file mode 100644 index 0000000000000000000000000000000000000000..4787fc55ef56cfff0de66e9e264d1e7f12e46737 --- /dev/null +++ b/app/db.py @@ -0,0 +1,162 @@ +"""Tầng DB của app — engine + session + 4 model nền móng (BRIEF 04/08/2026) ++ `drill_attempts` (F3 MVP, bàn giao 11 cùng ngày). + +Nguyên tắc thiết kế (không phải fallback tuỳ chọn): **không set `DATABASE_URL` +→ DB tắt hẳn** — `enabled()` False, app boot và chạy Y HỆT bản không DB. Lý do: +HF Space rebuild từ `main` bất kỳ lúc nào và KHÔNG có Postgres; mọi thứ ở đây +phải vô hình với Space cho tới khi có DB thật. + +Module này cố ý KHÔNG import `app.main` hay `poolcoach_rl`: alembic/env.py và +scripts/seed_db.py import nó để lấy metadata/models, và không được vì thế mà +kéo cả pooltool (~40s JIT) vào một lệnh migrate. + +Schema rút gọn từ FullVision §7 — 4 bảng nền móng + `drill_attempts`. Mọi bảng thuộc +quán mang `tenant_id` ngay từ đầu (self-host = 1 tenant, không rẽ nhánh code +về sau — FullVision §6). RLS/users/billing chưa làm. + +Kiểu cột giữ generic (`sa.JSON`, `DateTime` naive-UTC) để CÙNG schema chạy +được cả Postgres (dev thật) lẫn SQLite in-memory (pytest, không cần Docker). +""" + +from __future__ import annotations + +import os +from contextlib import contextmanager +from datetime import datetime, timezone +from typing import Iterator, Optional + +import sqlalchemy as sa +from sqlalchemy.orm import (DeclarativeBase, Mapped, Session, mapped_column, + sessionmaker) +from sqlalchemy.pool import StaticPool + + +def utcnow() -> datetime: + """UTC **naive** — chuẩn thời gian duy nhất của tầng DB. + + SQLite trả datetime naive kể cả khi lưu aware; nếu code lúc so sánh aware + lúc naive thì `expires_at < now` sẽ ném TypeError tuỳ backend. Chọn một + chuẩn và giữ nguyên: cột DateTime không timezone, giá trị luôn UTC. + """ + return datetime.now(timezone.utc).replace(tzinfo=None) + + +# ------------------------------------------------------------------ models + +class Base(DeclarativeBase): + pass + + +class AnalyzerVideo(Base): + """Một video đã nạp vào Analyzer đa cú (lát A1, 13/08/2026). + + `id` là uuid hex do route sinh (cùng chuỗi làm tên thư mục kết quả + `data/analyzer/{id}/`). Nguồn sự thật của KẾT QUẢ là file trên đĩa + (shots.json + shot JSON per cú — nếp BG31 sau vụ mất kết quả Redis + TTL BG29b); DB là sổ ghi DANH SÁCH để tra cứu/phân tích sau, ghi + best-effort như `recommendations` — DB tắt/hỏng không chặn luồng. + """ + + __tablename__ = "analyzer_videos" + + id: Mapped[str] = mapped_column(sa.String(32), primary_key=True) + tenant_id: Mapped[Optional[int]] = mapped_column(sa.Integer, + nullable=True) + filename: Mapped[Optional[str]] = mapped_column(sa.Text, nullable=True) + status: Mapped[str] = mapped_column(sa.String(16), default="queued") + n_shots: Mapped[Optional[int]] = mapped_column(sa.Integer, nullable=True) + created_at: Mapped[datetime] = mapped_column(sa.DateTime(), default=utcnow) + updated_at: Mapped[datetime] = mapped_column(sa.DateTime(), default=utcnow) + + +class AnalyzerShot(Base): + """Một cú máy cắt được từ video (lát A1). `video_id` KHÔNG ForeignKey + CÓ CHỦ ĐÍCH (nếp `scan_id`/`drill_id`): row video ghi best-effort có + thể vắng mặt mà danh sách cú vẫn phải ghi được. `result` là JSON kết + quả phân tích RÚT GỌN (tham số + tin cậy, không track điểm — track đầy + đủ nằm file trên đĩa, cùng lý do trajectories không vào log + recommendations).""" + + __tablename__ = "analyzer_shots" + + id: Mapped[int] = mapped_column(primary_key=True) + video_id: Mapped[str] = mapped_column(sa.String(32), index=True) + shot_idx: Mapped[int] = mapped_column(sa.Integer) + t_start_s: Mapped[Optional[float]] = mapped_column(sa.Float, nullable=True) + t_end_s: Mapped[Optional[float]] = mapped_column(sa.Float, nullable=True) + status: Mapped[str] = mapped_column(sa.String(16), default="queued") + reason: Mapped[Optional[str]] = mapped_column(sa.Text, nullable=True) + result: Mapped[Optional[dict]] = mapped_column(sa.JSON, nullable=True) + created_at: Mapped[datetime] = mapped_column(sa.DateTime(), default=utcnow) + updated_at: Mapped[datetime] = mapped_column(sa.DateTime(), default=utcnow) + + +# --------------------------------------------------------- engine + session + +_engine: sa.Engine | None = None +_session_factory: sessionmaker | None = None + + +def setup(url: str | None = None) -> bool: + """Khởi tạo engine từ `url` (test) hoặc env `DATABASE_URL` (chạy thật). + + Trả về True nếu DB bật. Gọi lại được (idempotent) — engine cũ dispose + trước khi tạo mới, nên test fixture setup/teardown thoải mái. + """ + teardown() + url = url or os.environ.get("DATABASE_URL") + if not url: + return False + + global _engine, _session_factory + kwargs: dict = {} + if url.startswith("sqlite"): + # TestClient chạy endpoint sync trong threadpool → connection SQLite + # bị dùng từ thread khác thread tạo nó. + kwargs["connect_args"] = {"check_same_thread": False} + if ":memory:" in url: + # In-memory: mỗi connection MỚI là một DB rỗng mới — ép mọi + # session dùng chung đúng một connection. + kwargs["poolclass"] = StaticPool + _engine = sa.create_engine(url, **kwargs) + _session_factory = sessionmaker(bind=_engine, expire_on_commit=False) + # Hai bảng, không lịch sử migration: alembic KHÔNG port sang (repo cũ + # dùng nó cho 5 bảng của engine gợi ý). create_all là idempotent và đủ + # cho sổ ghi best-effort này; ngày nào schema cần đổi có kiểm soát thì + # đó là lúc dựng lại alembic. + Base.metadata.create_all(_engine) + return True + + +def teardown() -> None: + """Tắt DB (dispose engine). Sau đó `enabled()` False.""" + global _engine, _session_factory + if _engine is not None: + _engine.dispose() + _engine = None + _session_factory = None + + +def enabled() -> bool: + return _session_factory is not None + + +def get_engine() -> sa.Engine | None: + return _engine + + +@contextmanager +def session() -> Iterator[Session]: + """Session commit-hoặc-rollback. Gọi khi DB tắt là bug của caller — + caller phải check `enabled()` trước (route trả 503, log thì bỏ qua).""" + if _session_factory is None: + raise RuntimeError("DB chưa bật — thiếu DATABASE_URL (check enabled() trước)") + s = _session_factory() + try: + yield s + s.commit() + except Exception: + s.rollback() + raise + finally: + s.close() diff --git a/app/demo_analyzer/README.md b/app/demo_analyzer/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a6f945dc795f8852bb1ca1bfe2b6baf5f49131f5 --- /dev/null +++ b/app/demo_analyzer/README.md @@ -0,0 +1,32 @@ +# `app/demo_analyzer/` — video mẫu ĐÃ PHÂN TÍCH SẴN, đóng gói theo app + +Mỗi thư mục con là **kết quả nguyên trạng** của một video đã chạy qua +Analyzer, đúng bố cục `app/analyzer_store.py` (`shots.json` + `shot_XX.json` ++ `thumb_XX.jpg` + `overlay_XX.mp4`). Lúc app khởi động, `astore.seed_demo()` +chép chúng sang thư mục kết quả (`POOLCOACH_ANALYZER_DIR`, mặc định +`data/analyzer/`) nếu chưa có — từ đó mọi endpoint đọc nó y hệt một video +người dùng vừa upload, không có nhánh code riêng cho "video mẫu". + +## Vì sao có thư mục này + +Space HF chạy CPU: phân tích một VOD 5 phút mất hàng chục phút. Người mở +link (thầy hướng dẫn) phải thấy **ngay** một danh sách cú thật + trang chi +tiết + overlay.mp4, chứ không phải một ô upload trống và một thanh tiến độ. +Đây là thứ được xem đầu tiên, nên nó phải nằm trong image. + +## Có gì + +| video_id | nguồn | ghi chú | +|---|---|---| +| `c9fda71c1e354289936ceae1bfdd4011` | 1 rack VOD Florida Open (Dương Quốc Hoàng – Kazakis), cắt 52:45–58:05 = `rack_5245_5805.mp4` | 14 cú (11 cú thật + 3 cú "ma" xếp rack mà van tự gắn cờ — GIỮ NGUYÊN, đó là hành vi thật của van). Sinh bởi `scripts/experiments/run_analyzer_a2b_vod.bat` ngày 14/08, code lúc chạy `67aca97` | + +## Luật + +- **Không chạy lại để "làm mới số".** Pipeline analyze không tái lập bit qua + một lần restart worker GPU (đo 13–14/08: cùng input/model/ngưỡng vẫn lệch + 131 ô giữa hai run, shotnet khuếch đại thành đổi hạng spin). Bộ số ở đây + là bộ đã nghiệm thu; chạy lại là có một bộ số thứ ba không ai đối chiếu. +- **Không sửa tay JSON.** Nó phải là thứ worker thực sự ghi ra. +- `*.mp4` bị `.gitignore` cấm toàn repo; thư mục này là ngoại lệ khai tường + minh bằng dòng `!app/demo_analyzer/**/*.mp4`. Video GỐC (frame broadcast có + bản quyền) KHÔNG nằm ở đây — chỉ overlay đã render của từng cú. diff --git a/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/overlay_01.mp4 b/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/overlay_01.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..3609a740b927d6a53aaf1e027159e83f9325e861 --- /dev/null +++ b/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/overlay_01.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a6ad2577ae89e587a4949f7b587d4228f320d14a62852913809aa6487f68690c +size 1038498 diff --git a/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/overlay_02.mp4 b/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/overlay_02.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..184e45c4393de751464176da0f295ef049583ade --- /dev/null +++ b/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/overlay_02.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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+ "drop_frac": null, + "contact": "cushion" + } + ], + "spin_class": "stun", + "spin_confidence": "low", + "spin_evidence": [ + { + "axis": "vertical", + "text": "cú cắt (Δθ 62°): sau pha trượt đường đi giữ nguyên tangent -2° → stun", + "t_s": 0.7, + "deg": -1.5 + }, + { + "axis": "lateral", + "text": "bật băng dài trái: lệch phản xạ gương +13° dưới ngưỡng 20° (bi lăn không side đã lệch ~15°) — không kết luận", + "t_s": 2.167, + "deg": 13.0 + } + ], + "track": [ + { + "t_s": 0.0, + "x_m": 0.984, + "y_m": 0.5525 + }, + { + "t_s": 0.033, + "x_m": 0.984, + "y_m": 0.5524 + }, + { + "t_s": 0.067, + "x_m": 0.984, + "y_m": 0.5524 + }, + { + "t_s": 0.1, + "x_m": 0.984, + "y_m": 0.5521 + }, + { + "t_s": 0.133, + "x_m": 0.984, + "y_m": 0.5521 + }, + { + "t_s": 0.167, + "x_m": 0.9839, + "y_m": 0.5519 + }, + { + "t_s": 0.2, + "x_m": 0.9838, + "y_m": 0.5518 + }, + { + "t_s": 0.233, + "x_m": 0.9837, + "y_m": 0.5516 + }, + { + "t_s": 0.267, + "x_m": 0.9838, + "y_m": 0.5515 + }, + { + "t_s": 0.3, + 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No newline at end of file diff --git a/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/shot_02.json b/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/shot_02.json new file mode 100644 index 0000000000000000000000000000000000000000..62e6851ee95a35e74da9cbced0a87c291ea1b429 --- /dev/null +++ b/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/shot_02.json @@ -0,0 +1,4743 @@ +{ + "metrics": { + "v0_mps": 1.891, + "phi_deg": 51.2, + "motion_start_s": 0.517, + "n_collisions": 2, + "coverage": 0.93, + "max_gap_s": 0.367, + "n_frames": 243, + "n_covered": 226, + "n_dup_frames": 39, + "duration_s": 8.1, + "table_w_m": 1.27, + "table_l_m": 2.54, + "elapsed_s": 5.76 + }, + "collisions": [ + { + "t_s": 1.133, + "x_m": 1.0872, + "y_m": 2.4659, + "kind": "kink", + "dtheta_deg": 161.1, + "drop_frac": null, + "contact": "unknown" + }, + { + "t_s": 6.967, + "x_m": 0.9975, + "y_m": 0.4468, + "kind": "kink", + "dtheta_deg": 44.3, + "drop_frac": null, + "contact": "unknown" + } + ], + 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"y_m": 0.4357, + "kind": "kink", + "dtheta_deg": 47.6, + "drop_frac": null, + "contact": "cushion" + } + ], + "spin_class": null, + "spin_confidence": null, + "spin_evidence": [ + { + "axis": "vertical", + "text": "va chạm đầu là cushion, không phải bi — không đọc được xoáy dọc", + "t_s": 1.6 + }, + { + "axis": "lateral", + "text": "bật băng dài phải: không đủ track hai phía để so với phản xạ gương", + "t_s": 1.6 + } + ], + "track": [ + { + "t_s": 0.133, + "x_m": 1.0946, + "y_m": 0.674 + }, + { + "t_s": 0.167, + "x_m": 1.0945, + "y_m": 0.6704 + }, + { + "t_s": 0.2, + "x_m": 1.0931, + "y_m": 0.668 + }, + { + "t_s": 0.267, + "x_m": 1.0875, + "y_m": 0.6588 + }, + { + "t_s": 0.333, + "x_m": 1.0836, + "y_m": 0.6529 + }, + { + "t_s": 0.367, + "x_m": 1.0799, + "y_m": 0.6459 + }, + { + "t_s": 0.4, + "x_m": 1.0741, + "y_m": 0.632 + }, + { + "t_s": 0.467, + "x_m": 1.0682, + "y_m": 0.6254 + }, + { + "t_s": 0.5, + "x_m": 1.0631, + "y_m": 0.6216 + }, + { + "t_s": 0.533, + "x_m": 1.0556, + "y_m": 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+ "track chỉ phủ 49% thời lượng (< 80%)" + ] + }, + "overlay": { + "file": "overlay_07.mp4" + } +} \ No newline at end of file diff --git a/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/shot_08.json b/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/shot_08.json new file mode 100644 index 0000000000000000000000000000000000000000..55c91a40bd6b5f4725ed47912291a39d75b058f0 --- /dev/null +++ b/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/shot_08.json @@ -0,0 +1,145 @@ +{ + "metrics": { + "v0_mps": null, + "phi_deg": null, + "motion_start_s": null, + "n_collisions": 0, + "coverage": 0.4054, + "max_gap_s": 0.067, + "n_frames": 37, + "n_covered": 15, + "n_dup_frames": 7, + "duration_s": 1.233, + "table_w_m": 1.27, + "table_l_m": 2.54, + "elapsed_s": 0.99 + }, + "collisions": [], + "spin_class": null, + "spin_confidence": null, + "spin_evidence": [ + { + "axis": "vertical", + "text": "cú không có va chạm nào — spin chỉ lộ qua va chạm, không xác định được là ĐÁP ÁN đúng (§3.2 design)" + } + ], + "track": [ + { + "t_s": 0.0, + "x_m": 1.0978, + "y_m": 0.0115 + }, + { + "t_s": 0.067, + "x_m": 1.0978, + "y_m": 0.0115 + }, + { + "t_s": 0.1, + "x_m": 1.0975, + "y_m": 0.0111 + }, + { + "t_s": 0.133, + "x_m": 1.097, + "y_m": 0.0087 + }, + { + "t_s": 0.167, + "x_m": 1.0967, + "y_m": 0.0105 + }, + { + "t_s": 0.233, + "x_m": 1.0966, + "y_m": 0.0088 + }, + { + "t_s": 0.267, + "x_m": 1.0969, + "y_m": 0.0088 + }, + { + "t_s": 0.3, + "x_m": 1.0969, + "y_m": 0.0086 + }, + { + "t_s": 0.333, + "x_m": 1.0968, + "y_m": 0.0102 + }, + { + "t_s": 0.367, + "x_m": 1.0968, + "y_m": 0.0105 + }, + { + "t_s": 0.433, + "x_m": 1.0974, + "y_m": 0.0087 + }, + { + "t_s": 0.467, + "x_m": 1.098, + "y_m": 0.0095 + } + ], + "warnings": [ + "Track chỉ phủ 41% thời lượng — thường do người che cue ball; số đo vẫn dùng được nhưng đọc kèm dè dặt.", + "Không thấy lúc cue ball bắt đầu chạy — clip có đúng 1 cú trọn (mọi bi đứng yên → đánh → đứng yên)?" + ], + "balls_init": [ + { + "x_m": 1.0978, + "y_m": 0.0115, + "type": "cue", + "conf": 0.659 + } + ], + "height_comp": { + "on": true, + "h_m": 2.363, + "f_px": 2155.1, + "cx_m": 0.549, + "cy_m": -2.366 + }, + "shotnet": { + "model": "shotnet_20260812_c4b", + "v0_cue_mps": 7.525, + "phi_deg": 91.9, + "a": -0.045, + "b": 0.077, + "spin_vert": "stun", + "spin_side": "side-R", + "identifiable_prob": 1.0, + "confidence": "high", + "confidence_raw": "high", + "det_density": 4.216, + "inference_ms": 24.5, + "n_target_slots": 6 + }, + "resim": { + "table_w_m": 1.27, + "table_l_m": 2.54, + "ball_r_m": 0.028575, + "sets": { + "shotnet": { + "error": "không có motion_start để neo t=0 của sim — cú không resim được (chính nó cũng là tín hiệu van)" + }, + "analytic": { + "error": "không có motion_start để neo t=0 của sim — cú không resim được (chính nó cũng là tín hiệu van)" + } + } + }, + "suspect_not_shot": { + "flagged": true, + "reasons": [ + "không tìm được lúc cue ball bắt đầu chạy (motion_start)", + "track chỉ phủ 41% thời lượng (< 80%)" + ] + }, + "overlay": { + "file": "overlay_08.mp4" + } +} \ No newline at end of file diff --git a/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/shot_09.json b/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/shot_09.json new file mode 100644 index 0000000000000000000000000000000000000000..07082c6d8b785fac9fcea77d91a09443b926bdfa --- /dev/null +++ b/app/demo_analyzer/c9fda71c1e354289936ceae1bfdd4011/shot_09.json @@ -0,0 +1,4440 @@ +{ + "metrics": { + "v0_mps": 0.822, + "phi_deg": 185.8, + "motion_start_s": 0.017, + "n_collisions": 3, + "coverage": 0.6167, + "max_gap_s": 0.233, + "n_frames": 60, + "n_covered": 37, + "n_dup_frames": 9, + "duration_s": 2.0, + "table_w_m": 1.27, + "table_l_m": 2.54, + "elapsed_s": 1.69 + }, + "collisions": [ + { + "t_s": 0.433, + "x_m": 0.9545, + "y_m": 2.181, + "kind": "kink", + "dtheta_deg": 51.4, + "drop_frac": null, + "contact": "unknown" + }, + { + "t_s": 0.8, + "x_m": 0.8653, + "y_m": 2.2097, + "kind": "kink", + "dtheta_deg": 44.2, + "drop_frac": null, + "contact": "unknown" + }, + { + "t_s": 1.2, + "x_m": 0.7851, + "y_m": 2.2402, + "kind": "kink", + "dtheta_deg": 51.2, + "drop_frac": null, + "contact": "unknown" + } + ], + "spin_class": null, + "spin_confidence": null, + "spin_evidence": [ + { + "axis": "vertical", + "text": "va chạm đầu là unknown, không phải bi — không đọc được xoáy dọc", + "t_s": 0.433 + }, + { + "axis": "lateral", + "text": "không có va chạm băng — không đọc được side spin" + } + ], + "track": [ + { + "t_s": 0.0, + "x_m": 1.1834, + "y_m": 2.2306 + }, + { + "t_s": 0.033, + "x_m": 1.1339, + "y_m": 2.2043 + }, + { + "t_s": 0.1, + "x_m": 1.1129, + "y_m": 2.2032 + }, + { + "t_s": 0.133, + "x_m": 1.0807, + "y_m": 2.2012 + }, + { + "t_s": 0.167, + "x_m": 1.0586, + "y_m": 2.1967 + }, + { + "t_s": 0.4, + "x_m": 0.9637, + "y_m": 2.1808 + }, + { + "t_s": 0.433, + "x_m": 0.9545, + "y_m": 2.181 + }, + { + "t_s": 0.5, + "x_m": 0.9477, + "y_m": 2.1871 + }, + { + "t_s": 0.533, + "x_m": 0.9342, + "y_m": 2.1935 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Giao thức: + + API : LPUSH pc:jobs:recommend '{"job_id": ..., "payload": ...}' + BLPOP pc:result:{job_id} (timeout → 503 phía route) + worker : BRPOP pc:jobs:recommend → app.engine.handle_job(payload) + LPUSH pc:result:{job_id} + EXPIRE (TTL dọn rác nếu API đã bỏ đi) + +Mode theo env `REDIS_URL` — cùng nếp `DATABASE_URL` (app/db.py): không set → +"inprocess", app chạy Y HỆT bản không queue; set → "queue". KHÔNG âm thầm +fallback in-process khi queue chết — che chết worker tệ hơn lỗi rõ (BRIEF 1.4). + +CHƯA có priority queue (realtime/TV FullVision §5.4 sẽ cần) — chừa chỗ bằng +tên list theo LOẠI job (`pc:jobs:recommend`) thay vì một list chung; thêm loại +job mới = thêm list mới, không đổi giao thức. Bàn giao 18 (05/08) dùng đúng +chỗ chừa đó: queue thứ hai `pc:jobs:scan` cho CV worker (scripts/cv_worker.py) +— các hàm nhận `jobs_key`/`key` tuỳ chọn, mặc định giữ nguyên queue recommend +nên mọi caller cũ không đổi một chữ. + +Mọi lệnh Redis ở đây là BLOCKING (redis-py sync) — route phải gọi `submit` +qua `run_in_executor`, nhất quán với cách engine đang được gọi (BRIEF 2.4). +Các hàm phía worker (`serve_one`/`beat`/`clear_heartbeat`) nhận `client` +tuỳ chọn để test tiêm connection fakeredis THỨ HAI — hai connection như hai +process thật, còn worker thật dùng client của module sau `setup()`. +""" + +from __future__ import annotations + +import json +import os +import time +import uuid + +import redis + +RESULT_KEY = "pc:result:{job_id}" +CV_HEARTBEAT_KEY = "pc:worker:heartbeat:cv" + +# Analyze clip (bàn giao 24): job DÀI (phút) nên KHÔNG đi đường request-reply +# `submit` (timeout 30s là cho job ngắn) — API `enqueue` fire-and-forget rồi +# poll status key; worker cập nhật status trong lúc chạy. Cùng CV worker với +# scan nên dùng chung CV_HEARTBEAT_KEY, chỉ thêm list job mới (đúng chỗ +# chừa "thêm loại job = thêm list" ở trên). +ANALYZE_JOBS_KEY = "pc:jobs:analyze" +ANALYZE_STATUS_KEY = "pc:analyze:{analyze_id}" +ANALYZE_STATUS_TTL_S = 3600 # kết quả sống 1h — đủ cho Danh đọc, tự dọn rác + +# Segment video đa cú (lát A1, 13/08): job scan-toàn-video, cùng giao thức +# fire-and-forget + status key như analyze (cùng CV worker, cùng heartbeat). +# Status/tiến độ per VIDEO ở VIDEO_STATUS_KEY; kết quả BỀN (danh sách cú + +# JSON per cú) nằm trên FILE ngay khi có — Redis chỉ là kênh tiến độ, vì +# kết quả job từng MẤT THẬT khi chỉ nằm Redis TTL 1h (BG29b, 13/08). +SEGMENT_JOBS_KEY = "pc:jobs:segment" +VIDEO_STATUS_KEY = "pc:video:{video_id}" + +RESULT_TTL_S = 60 # kết quả mồ côi (API đã timeout bỏ đi) tự bốc hơi +HEARTBEAT_TTL_S = 15 # worker SET mỗi ~5s → chết là health thấy trong ≤15s +DEFAULT_TIMEOUT_S = 30.0 + +# redis-py 8.x đặt socket_timeout MẶC ĐỊNH 5s cho MỌI lệnh (_defaults.py — +# đời 7.x là None). Hệ quả đã ĐO trên Redis thật 04/08: BLPOP/BRPOP block +# server-side >= 5s là client tự ném TimeoutError đúng mốc 5.0s, trước khi +# server kịp trả nil (fakeredis không có tầng socket nên test không thấy). +# Chống bằng cách chờ theo LÁT < SOCKET_TIMEOUT_S qua `_bwait` — KHÔNG BAO +# GIỜ gọi thẳng blpop/brpop với timeout dài. socket_timeout pin tường minh +# trong setup() để đổi mặc định thư viện không âm thầm đổi hành vi ở đây. +SOCKET_TIMEOUT_S = 5.0 +WAIT_SLICE_S = 2.0 + + +class QueueDown(Exception): + """Không nói chuyện được với Redis (mất kết nối / chưa bật).""" + + +class QueueTimeout(Exception): + """Job đã đẩy nhưng không có kết quả trong hạn — worker chết hoặc kẹt.""" + + +_client: redis.Redis | None = None +_mode: str = "inprocess" + + +def setup(url: str | None = None, client: redis.Redis | None = None) -> str: + """Khởi tạo transport từ `url`/env `REDIS_URL` (chạy thật) hoặc `client` + tiêm sẵn (test dùng fakeredis). Trả về mode. Idempotent như db.setup(). + + Mode thứ ba **"local"** (14/08/2026, việc B — Space HF một container): + không có `REDIS_URL` mà env `POOLCOACH_LOCAL_CV` bật → transport chạy + trên fakeredis TRONG TIẾN TRÌNH và app tự nuôi một luồng CV worker + (app/localcv.py). Vì sao fakeredis chứ không tự viết bộ nhớ tạm: nó là + ĐÚNG backend mà 400+ test đang chạy qua chính module này từ bàn giao 14 + — thêm một bản hiện thực thứ hai là thêm một chỗ để lệch. Vì sao KHÔNG + gọi nó là "queue": mode queue nghĩa là `/api/recommend` phải đi engine + worker; ở "local" thì engine vẫn IN-PROCESS như bản không queue, chỉ + tầng CV đi hàng đợi. Thiếu fakeredis → về "inprocess", app không chết. + """ + global _client, _mode + teardown() + if client is not None: + _client, _mode = client, "queue" + return _mode + url = url or os.environ.get("REDIS_URL") + if url: + _client = redis.Redis.from_url(url, decode_responses=True, + socket_timeout=SOCKET_TIMEOUT_S) + _mode = "queue" + return _mode + if os.environ.get("POOLCOACH_LOCAL_CV", "").strip().lower() not in ( + "", "0", "false", "no"): + try: + import fakeredis + except ImportError: + print("[poolcoach] POOLCOACH_LOCAL_CV bat nhung thieu goi " + "fakeredis -- ve mode inprocess", flush=True) + return _mode + _client = fakeredis.FakeStrictRedis(decode_responses=True) + _mode = "local" + return _mode + + +def teardown() -> None: + """Về mode inprocess (đóng connection nếu có).""" + global _client, _mode + if _client is not None: + try: + _client.close() + except Exception: # noqa: BLE001 — đóng lúc Redis đã chết vẫn phải xong + pass + _client = None + _mode = "inprocess" + + +def mode() -> str: + return _mode + + +def cv_enabled() -> bool: + """Tầng CV (scan/analyze/segment) có đường chạy không — dùng cho route + thay cho `mode() == "queue"`: cả "queue" (worker process) lẫn "local" + (luồng nhúng) đều có worker phục vụ, chỉ "inprocess" là không.""" + return _mode in ("queue", "local") + + +def timeout_s() -> float: + """Hạn chờ kết quả — đọc env MỖI lần (test override bằng monkeypatch).""" + return float(os.environ.get("POOLCOACH_QUEUE_TIMEOUT_S", + DEFAULT_TIMEOUT_S)) + + +def _require(client: redis.Redis | None = None) -> redis.Redis: + c = client or _client + if c is None: + raise RuntimeError("transport chưa setup — mode inprocess không có " + "client Redis (check mode() trước)") + return c + + +def _bwait(op, key: str, timeout: float): + """BLPOP/BRPOP chờ tối đa `timeout`s bằng nhiều LÁT ngắn. + + Mỗi lát < SOCKET_TIMEOUT_S để server luôn kịp trả nil trước khi client + đứt socket (xem chú thích SOCKET_TIMEOUT_S). Trả item hoặc None khi hết + hạn; lỗi Redis ném nguyên cho caller phân loại. + """ + deadline = time.monotonic() + timeout + while True: + remaining = deadline - time.monotonic() + if remaining <= 0: + return None + # kẹp >= 0.05: BLPOP timeout 0 nghĩa là "chờ vô hạn" — không bao giờ + # được truyền 0 xuống Redis (tràn deadline tối đa 50ms, vô hại) + item = op(key, timeout=max(min(WAIT_SLICE_S, remaining), 0.05)) + if item is not None: + return item + + +# ------------------------------------------------------------- phía API + +def enqueue(payload: dict, jobs_key: str, + job_id: str | None = None) -> str: + """Đẩy MỘT job KHÔNG chờ kết quả (bàn giao 24 — job dài kiểu analyze). + + Cùng wire format với `submit` ({"job_id", "payload"}) nên `serve_one` + phía worker không đổi một chữ; khác là không BLPOP reply — tiến độ/kết + quả đi đường status key (`set_analyze_status`). `job_id` truyền vào được + để route dùng LUÔN nó làm id public (client poll GET bằng id này). + Ném QueueDown khi Redis không nói chuyện được. + """ + c = _require() + job_id = job_id or uuid.uuid4().hex + try: + c.lpush(jobs_key, json.dumps({"job_id": job_id, "payload": payload})) + except redis.RedisError as e: + raise QueueDown(f"{type(e).__name__}: {e}") from e + return job_id + + +def set_analyze_status(analyze_id: str, data: dict, + client: redis.Redis | None = None) -> None: + """Ghi status job analyze (SET + TTL — key tự bốc hơi sau 1h). + + `data` là dict JSON-thuần {"status": queued|running|done|error, ...} — + shape do route/worker thống nhất, transport không phán. Ném QueueDown + khi Redis chết — caller quyết nuốt hay không (worker nuốt để job dài + không chết vì một nhịp Redis rớt; route thì 503). + """ + try: + _require(client).set(ANALYZE_STATUS_KEY.format(analyze_id=analyze_id), + json.dumps(data), ex=ANALYZE_STATUS_TTL_S) + except redis.RedisError as e: + raise QueueDown(f"{type(e).__name__}: {e}") from e + + +def get_analyze_status(analyze_id: str) -> dict | None: + """Đọc status job analyze — None nếu id lạ hoặc key đã hết TTL. + Ném QueueDown khi Redis chết (route trả 503, không đổ oan 404).""" + try: + raw = _require().get(ANALYZE_STATUS_KEY.format(analyze_id=analyze_id)) + except redis.RedisError as e: + raise QueueDown(f"{type(e).__name__}: {e}") from e + return json.loads(raw) if raw else None + + +def set_video_status(video_id: str, data: dict, + client: redis.Redis | None = None) -> None: + """Status job segment per VIDEO (lát A1) — cùng giao ước + set_analyze_status: SET + TTL, shape do route/worker thống nhất, ném + QueueDown khi Redis chết (worker nuốt, route 503).""" + try: + _require(client).set(VIDEO_STATUS_KEY.format(video_id=video_id), + json.dumps(data), ex=ANALYZE_STATUS_TTL_S) + except redis.RedisError as e: + raise QueueDown(f"{type(e).__name__}: {e}") from e + + +def get_video_status(video_id: str) -> dict | None: + """Đọc status job segment — None nếu id lạ hoặc hết TTL (danh sách cú + BỀN nằm trên file, route tự đọc tiếp — Redis chỉ là kênh tiến độ).""" + try: + raw = _require().get(VIDEO_STATUS_KEY.format(video_id=video_id)) + except redis.RedisError as e: + raise QueueDown(f"{type(e).__name__}: {e}") from e + return json.loads(raw) if raw else None + + +def ping() -> bool: + """Redis còn sống? — cho /api/health, nuốt lỗi (False là câu trả lời).""" + try: + return bool(_require().ping()) + except redis.RedisError: + return False + + +def worker_alive(key: str = CV_HEARTBEAT_KEY) -> bool: + """Heartbeat worker còn hạn? — cho /api/health, nuốt lỗi như ping(). + `key` chọn worker (mặc định engine; CV dùng CV_HEARTBEAT_KEY).""" + try: + return _require().exists(key) == 1 + except redis.RedisError: + return False + + +def worker_alive_or_raise(key: str = CV_HEARTBEAT_KEY) -> bool: + """Heartbeat check TRƯỚC enqueue (fast-fail, bàn giao 19) — KHÁC + `worker_alive`: Redis chết phải NÉM QueueDown để route trả đúng message + "Redis" như đường submit (nuốt thành False sẽ đổ oan cho worker). Lệnh + Redis blocking như mọi lệnh khác — route gọi qua executor.""" + try: + return _require().exists(key) == 1 + except redis.RedisError as e: + raise QueueDown(f"{type(e).__name__}: {e}") from e + + +# ----------------------------------------------------------- phía worker + +def serve_one(handler, jobs_key: str, timeout_s: float = 5.0, + client: redis.Redis | None = None) -> bool: + """MỘT vòng BRPOP → ``handler(payload)`` → reply + TTL. + + Trả False nếu hết `timeout_s` không có job — vòng ngoài của worker nhân + đó beat heartbeat / bắt Ctrl+C. Job kẹt lại từ lúc worker chết vẫn được + xử lý khi worker sống lại (reply mồ côi tự hết hạn theo RESULT_TTL_S) — + chấp nhận tốn vài giây sim thay vì thêm deadline vào giao thức. + `jobs_key` chọn LOẠI job như bên `submit`. + """ + c = _require(client) + item = _bwait(c.brpop, jobs_key, timeout_s) + if item is None: + return False + job = json.loads(item[1]) + reply = handler(job["payload"]) + key = RESULT_KEY.format(job_id=job["job_id"]) + pipe = c.pipeline() + pipe.lpush(key, json.dumps(reply)) + pipe.expire(key, RESULT_TTL_S) + pipe.execute() + return True + + +def beat(client: redis.Redis | None = None, + key: str = CV_HEARTBEAT_KEY) -> None: + """Worker báo sống — CHỈ gọi sau khi JIT/model-load xong (bối cảnh #3: + health không được báo alive lúc còn đang khởi động). `key` là heartbeat + của TỪNG worker (engine mặc định; CV dùng CV_HEARTBEAT_KEY).""" + _require(client).set(key, "alive", ex=HEARTBEAT_TTL_S) + + +def clear_heartbeat(client: redis.Redis | None = None, + key: str = CV_HEARTBEAT_KEY) -> None: + """Worker thoát sạch (Ctrl+C) — xoá heartbeat để health thấy chết NGAY, + không đợi TTL. Redis chết lúc này thì thôi — TTL sẽ dọn.""" + try: + _require(client).delete(key) + except redis.RedisError: + pass diff --git a/app/localcv.py b/app/localcv.py new file mode 100644 index 0000000000000000000000000000000000000000..d382b8c18a3b0be1fa1d5467d4bb671ef559cc5e --- /dev/null +++ b/app/localcv.py @@ -0,0 +1,116 @@ +"""CV worker chạy TRONG tiến trình app — mode "local" (14/08/2026, việc B). + +Vì sao tồn tại: Space HF free là MỘT container. Bản deploy 23/07 chỉ có app +gợi ý nên không cần gì thêm, còn Analyzer cần detector + ShotNet + segment. +Ba đường đi được cân: + +1. Cài redis-server + chạy cv_worker (và cả engine_worker) làm tiến trình + phụ trong container — giữ nguyên code path, nhưng bật ``REDIS_URL`` là + ``/api/recommend`` cũng đòi engine worker, thành ra phải nuôi BA tiến + trình + một binary Redis, và hai lần JIT pooltool trên 2 vCPU. +2. Viết một hàng đợi in-memory mới — thêm một bản hiện thực thứ hai của + transport, tức thêm một chỗ để lệch khỏi bản Redis đã nghiệm thu. +3. (chọn) fakeredis trong tiến trình + LUỒNG worker gọi ĐÚNG hàm của + ``scripts/cv_worker.py``. Không tiến trình phụ, không binary, không bản + sao logic: ``handle_scan``/``handle_analyze``/``handle_segment`` và vòng + ``serve_forever`` là CÙNG code chạy trên máy có GPU. + +Đánh đổi đã biết, ghi rõ để đừng ngộ nhận: một luồng phục vụ tuần tự, nên +đúng như bản Redis "trong lúc một analyze chạy, scan job phải chờ" — demo +một người dùng (nếp BG24). GIL nhả trong numpy/torch/cv2 nên API vẫn trả +lời được trong lúc worker chạy, nhưng có tranh CPU: số đo thời gian trên +Space KHÔNG so ngang với số đo worker riêng máy GPU. + +Bật bằng env ``POOLCOACH_LOCAL_CV=1`` (xem ``jobqueue.setup``). Không bật +thì file này không được import. +""" + +from __future__ import annotations + +import importlib.util +import os +import sys +import threading +import time +from pathlib import Path + +ROOT = Path(__file__).resolve().parents[1] + +_thread: threading.Thread | None = None +_stop = threading.Event() +_state: dict = {"stage": "off", "error": None, "since": None} + + +def state() -> dict: + """Trạng thái luồng worker nhúng — cho log/health đọc, không cho FE.""" + return dict(_state) + + +def _load_worker_module(): + """Nạp ``scripts/cv_worker.py`` như một module. + + Import theo ĐƯỜNG DẪN vì repo không cài package và ``scripts/`` không + phải package (quy ước repo — xem CLAUDE.md). Chỉ nạp, không gọi + ``main()``: mọi thứ mức module của cv_worker là đẩy sys.path + import + numpy/jobqueue/poolcoach_cv, an toàn khi nạp trong app. + """ + name = "poolcoach_cv_worker" + if name in sys.modules: + return sys.modules[name] + path = ROOT / "scripts" / "cv_worker.py" + spec = importlib.util.spec_from_file_location(name, path) + if spec is None or spec.loader is None: + raise ImportError(f"không nạp được {path}") + mod = importlib.util.module_from_spec(spec) + sys.modules[name] = mod + spec.loader.exec_module(mod) + return mod + + +def _run() -> None: + t0 = time.time() + try: + _state.update(stage="loading", error=None) + cw = _load_worker_module() + conf = float(os.environ.get("POOLCOACH_CV_CONF", cw.OP_CONF)) + device = os.environ.get("POOLCOACH_CV_DEVICE", "") + predict_kw = {"device": device} if device else {} + model, shotnet, resim = cw.load_all(conf, device, predict_kw) + _state.update(stage="serving", since=round(time.time() - t0, 1)) + print(f"[poolcoach] CV worker nhung san sang sau " + f"{time.time() - t0:.1f}s -- tab Analyzer dung duoc", + flush=True) + cw.serve_forever(model, conf, predict_kw, shotnet, resim, + should_stop=_stop.is_set) + except BaseException as e: # noqa: BLE001 — luồng chết ≠ app chết + _state.update(stage="error", error=f"{type(e).__name__}: {e}") + print(f"[poolcoach] LOI CV worker nhung: {type(e).__name__}: {e} " + f"-- tab Analyzer se bao 'CV worker khong chay', phan con lai " + f"cua app van chay", flush=True) + finally: + if _state.get("stage") != "error": + _state.update(stage="stopped") + + +def start() -> None: + """Bật luồng worker nhúng (daemon). Gọi ở lifespan khi mode == local. + + Không chặn startup: nạp YOLO + ShotNet + JIT pooltool mất hàng chục + giây, nhưng trang danh sách cú của video mẫu ĐÃ PHÂN TÍCH SẴN đọc từ + file nên dùng được ngay — heartbeat chỉ bật sau khi nạp xong, đúng nếp + "không báo alive lúc còn đang khởi động". + """ + global _thread + if _thread is not None and _thread.is_alive(): + return + _stop.clear() + _thread = threading.Thread(target=_run, daemon=True, + name="poolcoach-localcv") + _thread.start() + + +def stop(timeout: float = 10.0) -> None: + """Xin luồng dừng ở vòng lặp kế tiếp (job đang chạy được chạy nốt).""" + _stop.set() + if _thread is not None and _thread.is_alive(): + _thread.join(timeout=timeout) diff --git a/app/main.py b/app/main.py new file mode 100644 index 0000000000000000000000000000000000000000..722e855c08f1b8ed2364415e56e6c939fe986577 --- /dev/null +++ b/app/main.py @@ -0,0 +1,762 @@ +"""PoolCoach Analyzer BE — FastAPI cho luồng phân tích video đa cú. + +Chạy từ gốc repo: + python -m uvicorn app.main:app --port 8000 + +Endpoint: + GET /api/health ok | warming_up | error (FE poll lúc mở) + GET /api/table hằng số bàn để FE dựng canvas đúng tỉ lệ + GET /api/analyzer/demo id video mẫu ĐÃ phân tích sẵn trong repo + POST /api/analyzer/suggest-corners frame đầu → 4 góc bàn đề xuất + POST /api/analyzer/videos video + 4 pocket pixel → job segment + GET /api/analyzer/shots danh sách cú (file là nguồn sự thật) + GET /api/analyzer/videos/{id}/export.csv|.json + GET /api/analyzer/videos/{id}/shots/{idx}/result|thumb|overlay +Static FE mount ở "/" (app/static), Cache-Control: no-cache. + +Tầng CV chạy ở tiến trình khác (scripts/cv_worker.py, transport +app/jobqueue.py) hoặc trong LUỒNG của chính tiến trình này khi +POOLCOACH_LOCAL_CV bật (app/localcv.py — bản deploy một container). App +tuyệt đối không import torch/ultralytics. +""" + +from __future__ import annotations + +import asyncio +import functools +import sys +import threading +import time +from contextlib import asynccontextmanager +from pathlib import Path + +ROOT = Path(__file__).resolve().parents[1] +if str(ROOT / "src") not in sys.path: + sys.path.insert(0, str(ROOT / "src")) + +from fastapi import FastAPI, File, Form, HTTPException, UploadFile +from fastapi.staticfiles import StaticFiles + +from . import analyzer_store as astore +from . import db, jobqueue, localcv +from .schemas import (AnalyzerCornersOut, AnalyzerDemoOut, AnalyzerShotItem, + AnalyzerShotNetBrief, + AnalyzerShotsOut, AnalyzerVideoCreateOut, + AnalyzerVideoInfo, HealthOut, TableInfo, TablePocket) + +STATIC_DIR = Path(__file__).resolve().parent / "static" + + +# ------------------------------------------------------------------ state + +class _State: + table = None # dict facts bàn (poolcoach_sim.table) + jit_ready: bool = False + warmup_s: float | None = None + boot_error: str | None = None + + +state = _State() + + +def _boot() -> None: + """Nạp tầng vật lý (import pooltool ~20s vì Numba) và lấy hằng số bàn — + chạy trong thread nền để uvicorn lên ngay, FE poll /api/health trong lúc + chờ. Tên trường `jit_ready` giữ nguyên: FE đang đọc nó, và ý nghĩa vẫn + là "tầng vật lý đã sẵn sàng".""" + try: + t0 = time.time() + from poolcoach_sim.table import table_facts + + state.table = table_facts() + state.warmup_s = time.time() - t0 + state.jit_ready = True + print(f"[poolcoach] hang so ban san sang sau {state.warmup_s:.1f}s " + f"-- API san sang", flush=True) + except Exception as e: # noqa: BLE001 — báo lỗi qua /api/health + state.boot_error = f"{type(e).__name__}: {e}" + print(f"[poolcoach] LOI khoi dong: {state.boot_error}", flush=True) + + +@asynccontextmanager +async def lifespan(_app: FastAPI): + # DB bật/tắt theo DATABASE_URL — không set là chạy degraded file-based + # Y HỆT bản không DB (Space HF không có Postgres, rebuild bất kỳ lúc nào). + if db.setup(): + print("[poolcoach] DB bat (DATABASE_URL co)", flush=True) + else: + print("[poolcoach] DB tat -- khong co DATABASE_URL, danh sach cu " + "chi nam tren dia", flush=True) + # Queue bật/tắt theo REDIS_URL — cùng nếp DATABASE_URL ở trên. + qmode = jobqueue.setup() + if qmode == "queue": + print("[poolcoach] queue bat (REDIS_URL co) -- CV chay o worker " + "rieng, KHONG fallback in-process khi worker chet", flush=True) + elif qmode == "local": + # Một container (Space HF): CV worker là một LUỒNG trong chính tiến + # trình này. Xem app/localcv.py về ba đường đã cân và vì sao chọn. + print("[poolcoach] mode LOCAL (POOLCOACH_LOCAL_CV) -- CV worker chay " + "bang luong nhung trong app", flush=True) + localcv.start() + else: + print("[poolcoach] queue tat -- khong co REDIS_URL, tab Analyzer se " + "bao chua co CV worker", flush=True) + # Video mẫu đã phân tích sẵn: chép vào thư mục kết quả nếu chưa có, để + # mở app KHÔNG GPU là thấy ngay danh sách cú (không phân tích lại). + astore.seed_demo() + threading.Thread(target=_boot, daemon=True, name="poolcoach-warmup").start() + try: + yield + finally: + if jobqueue.mode() == "local": + localcv.stop() + + +app = FastAPI(title="PoolCoach Analyzer", lifespan=lifespan) + + +# -------------------------------------------------------------- endpoints + +@app.get("/api/health", response_model=HealthOut) +def api_health(): + """Trạng thái boot. FE đọc status/jit_ready/error để hiện banner, và + `mode` để cảnh báo đường CPU chậm. + + `redis_ok`/`cv_worker_alive` chỉ có nghĩa khi tầng CV có đường chạy; + mode inprocess để null ("không áp dụng" KHÁC False = "chết"). KHÔNG + được 500 khi Redis chết: redis_ok=False là câu trả lời, không phải lỗi. + """ + status = ("error" if state.boot_error + else "ok" if state.jit_ready else "warming_up") + qmode = jobqueue.mode() + redis_ok = cv_worker_alive = None + if qmode in ("queue", "local"): + redis_ok = jobqueue.ping() + cv_worker_alive = (jobqueue.worker_alive() if redis_ok else False) + return HealthOut(status=status, jit_ready=state.jit_ready, + error=state.boot_error, mode=qmode, + redis_ok=redis_ok, cv_worker_alive=cv_worker_alive) + + +@app.get("/api/table", response_model=TableInfo) +def api_table(): + """Hằng số bàn (m) — FE dựng canvas theo tỉ lệ này và quy đổi toạ độ + bàn broadcast về bàn app bằng một hệ số đồng dạng.""" + if state.boot_error: + raise HTTPException(500, f"Server lỗi khởi động: {state.boot_error}") + facts = state.table + if facts is None: + raise HTTPException(503, "Đang khởi động — thử lại sau") + return TableInfo(w=facts["w"], l=facts["l"], ball_r=facts["ball_r"], + pockets=[TablePocket(**p) for p in facts["pockets"]]) + + +# ------------------------------------- Broadcast Analyzer — helper chung +# (Endpoint 1-cú POST/GET /api/analyze của BG24 GỠ ở A2b — video 1 cú là +# trường hợp con của luồng đa cú /api/analyzer/*. Queue "analyze" + status +# key trong jobqueue GIỮ NGUYÊN: job per cú của luồng đa cú vẫn đi đường đó.) + + +def _probe_duration_s(path: Path) -> float | None: + """Thời lượng video qua ffprobe (binary hệ thống — máy demo đã có ffmpeg + 9.0, BRIEF #8). Ba kết cục, cố ý tách bạch: + + - trả float: đo được — route enforce trần ngay tại POST (4xx tử tế). + - trả None: máy KHÔNG có ffprobe — không đo được ở tầng API, worker vẫn + enforce lần hai bằng cv2; POST cho qua, không 500. + - ném ValueError: ffprobe CÓ mà không đọc được file — video hỏng, 422. + """ + import shutil + import subprocess + + exe = shutil.which("ffprobe") + if exe is None: + return None + try: + out = subprocess.run( + [exe, "-v", "error", "-show_entries", "format=duration", + "-of", "default=noprint_wrappers=1:nokey=1", str(path)], + capture_output=True, text=True, timeout=15) + except subprocess.TimeoutExpired as e: + raise ValueError("ffprobe không trả lời trong 15s") from e + raw = (out.stdout or "").strip() + if out.returncode != 0 or not raw: + raise ValueError((out.stderr or "không đọc được định dạng").strip() + .splitlines()[-1][:200]) + try: + return float(raw) + except ValueError as e: + raise ValueError(f"ffprobe trả duration lạ: {raw!r}") from e + + +# ------------------------------------- /api/analyzer/* (13/08, lát A1) +# Analyzer đa cú: upload VIDEO (1..N cú, trần 20 phút) + 4 pocket pixel → +# job segment (cắt cú, queue pc:jobs:segment) → worker sinh N job analyze +# per cú NGUYÊN TRẠNG → JSON per cú ghi FILE ngay khi có (nếp BG31 sau vụ +# mất kết quả Redis TTL BG29b). GET đọc từ FILE làm nguồn sự thật, Redis +# chỉ bù tiến độ; DB ghi danh sách best-effort (nếp recommendations). + + +def _analyzer_video_dir(video_id: str): + """Bọc astore.video_dir để test monkeypatch trỏ tmp_path (nếp + _analyze_tmp_dir).""" + return astore.video_dir(video_id) + + +def _parse_corners4(raw: str): + """4 điểm [x, y] pixel từ JSON string — None khi hỏng (route trả 422). + Cùng luật với /api/analyze; helper riêng để KHÔNG đụng code path cũ.""" + import json as _json + + try: + pts = _json.loads(raw) + except ValueError: + return None + ok = (isinstance(pts, list) and len(pts) == 4 + and all(isinstance(p, list) and len(p) == 2 + and all(isinstance(v, (int, float)) for v in p) + for p in pts)) + return pts if ok else None + + +def _valid_video_id(video_id: str) -> bool: + """uuid4 hex do chính route sinh — chặn mọi id lạ TRƯỚC khi ghép vào + đường dẫn file (không có chuyện ../ đi lạc thư mục).""" + return (len(video_id) == 32 + and all(c in "0123456789abcdef" for c in video_id)) + + +@app.get("/api/analyzer/demo", response_model=AnalyzerDemoOut) +def api_analyzer_demo(): + """Id video mẫu ĐÃ PHÂN TÍCH SẴN đóng gói trong repo — FE mở tab là nạp. + + Không cần queue, không cần CV worker, không cần GPU: kết quả nằm sẵn + trên đĩa và GET /shots đọc từ file. Đây là đường để "mở link thấy ngay + danh sách cú" (BRIEF 14/08 việc B, mục tiêu demo gửi thầy). + """ + ids = astore.demo_ids() + return AnalyzerDemoOut(id=ids[0] if ids else None) + + +SUGGEST_MAX_UPLOAD_B = 10 * 1024 * 1024 + + +@app.post("/api/analyzer/suggest-corners", response_model=AnalyzerCornersOut, + response_model_exclude_none=True) +async def api_analyzer_suggest_corners(image: UploadFile = File(...)): + """Frame đầu (JPEG/PNG do FE trích từ chính video) → 4 góc bàn ĐỀ XUẤT. + + Chạy IN-PROCESS kể cả mode queue — quyết định, không phải bỏ sót: đây là + một lần dò màu thuần cv2/numpy vài chục ms trên MỘT ảnh, không đụng + torch/YOLO, nên không có lý do đẩy qua CV worker (nếp /api/trajectory + giữ in-process trong khi /api/recommend đi worker). + + LUÔN 200 khi ảnh đọc được: "không đề xuất" là một CÂU TRẢ LỜI hợp lệ + (`ok=false` + lý do), không phải lỗi — FE quay về luồng chấm tay y hệt + trước đây. Chỉ input rác (ảnh rỗng/quá to/không giải mã được) mới 422. + Van sanity của đề xuất là van BG32 sẵn có trong camera.py, gọi nguyên + qua ``autocorner.suggest_corners`` — không nới, không bản sao. + """ + raw = await image.read() + if not raw: + raise HTTPException(422, "Ảnh rỗng — chọn lại video.") + if len(raw) > SUGGEST_MAX_UPLOAD_B: + raise HTTPException(422, "Ảnh frame quá lớn (>10 MB).") + + def _work() -> dict: + import numpy as np + + try: + import cv2 + except ImportError: + # Bản app không cài cv2 (tầng requirements-cv) — nói thẳng, FE + # về luồng chấm tay. KHÔNG 500: thiếu tính năng phụ ≠ hỏng app. + return {"ok": False, "reason": "Server này chưa cài cv2 nên " + "không gợi ý được góc bàn — chấm " + "tay 4 pocket như thường."} + from poolcoach_cv.autocorner import suggest_corners + + img = cv2.imdecode(np.frombuffer(raw, np.uint8), cv2.IMREAD_COLOR) + if img is None: + return None + res = suggest_corners(img) + return {"ok": res["ok"], "corners": res["corners"], + "reason": res["reason"], "camera": res["camera"], + "rails": res["rails"]} + + loop = asyncio.get_running_loop() + out = await loop.run_in_executor(None, _work) + if out is None: + raise HTTPException(422, "Không giải mã được frame gửi lên — cần " + "JPEG hoặc PNG.") + return AnalyzerCornersOut(**out) + + +@app.post("/api/analyzer/videos", response_model=AnalyzerVideoCreateOut) +async def api_analyzer_upload(video: UploadFile = File(...), + corners: str = Form(...)): + """Upload video 1..N cú + 4 pocket pixel (chấm MỘT lần trên frame đầu, + mọi cú dùng chung homography — design §2) → job segment async → id. + + Nếp /api/analyze giữ nguyên từng bước: chỉ sống ở mode queue, validate + input trước heartbeat check, fast-fail khi vắng CV worker, status + "queued" ghi TRƯỚC enqueue (race đã bắt được bằng test ở BG24). KHÁC: + video lưu vào thư mục kết quả data/analyzer/{id}/ (không phải temp) — + kết quả per cú phải sống lâu hơn phiên, còn video gốc worker sẽ tự xoá + sau khi scan xong (bản quyền, không đọng). + """ + import uuid as _uuid + + if not jobqueue.cv_enabled(): + raise HTTPException(503, "Tính năng phân tích video cần CV worker — " + "server này chưa bật hàng đợi (REDIS_URL) " + "nên chưa phân tích được.") + pts = _parse_corners4(corners) + if pts is None: + raise HTTPException(422, "corners phải là JSON 4 điểm [x, y] pixel " + "— chấm đủ 4 pocket góc theo thứ tự hướng dẫn.") + suffix = Path(video.filename or "").suffix.lower() + if suffix not in astore.VIDEO_SUFFIXES: + raise HTTPException(422, "Cần file MP4 hoặc MOV (video 1..nhiều cú, " + f"≤ {astore.VIDEO_MAX_DUR_S / 60:g} phút) — " + f"nhận {suffix or 'file không đuôi'}.") + + video_id = _uuid.uuid4().hex + vdir = _analyzer_video_dir(video_id) + vdir.mkdir(parents=True, exist_ok=True) + path = vdir / f"video{suffix}" + total = 0 + try: + with open(path, "wb") as f: + while chunk := await video.read(1 << 20): + total += len(chunk) + if total > astore.VIDEO_MAX_UPLOAD_B: + raise HTTPException( + 422, "Video quá lớn (>1 GB) — cắt đoạn trận cần " + "phân tích (một rack ≤ 20 phút) rồi thử lại.") + f.write(chunk) + if total == 0: + raise HTTPException(422, "Video rỗng — chọn lại file MP4/MOV.") + try: + dur = _probe_duration_s(path) + except ValueError as e: + raise HTTPException(422, f"Không đọc được video ({e}) — cần " + f"MP4/MOV H.264 lành lặn.") from e + if dur is not None and dur > astore.VIDEO_MAX_DUR_S + 0.5: + raise HTTPException( + 422, f"Video dài {dur / 60:.1f} phút — giới hạn " + f"{astore.VIDEO_MAX_DUR_S / 60:g} phút cho một lần " + f"quét: cắt đoạn trận cần phân tích rồi thử lại.") + + loop = asyncio.get_running_loop() + try: + alive = await loop.run_in_executor( + None, jobqueue.worker_alive_or_raise) + if not alive: + raise HTTPException(503, "CV worker không chạy (không thấy " + "heartbeat) — tính năng phân tích video " + "cần CV worker đang bật " + "(scripts/cv_worker.py).") + payload = {"video_id": video_id, "video_path": str(path), + "corners": pts, "filename": video.filename, + "out_dir": str(vdir)} + await loop.run_in_executor( + None, functools.partial(jobqueue.set_video_status, video_id, + {"status": "queued", + "progress": 0.0})) + await loop.run_in_executor( + None, functools.partial(jobqueue.enqueue, payload, + jobs_key=jobqueue.SEGMENT_JOBS_KEY, + job_id=video_id)) + except jobqueue.QueueDown as e: + print(f"[poolcoach] LOI analyzer upload: Redis khong noi chuyen " + f"duoc ({e})", flush=True) + raise HTTPException(503, "Không kết nối được hàng đợi CV (Redis) " + "— kiểm tra Redis + CV worker rồi thử lại.") from e + except BaseException: + # không thành job thì dọn cả thư mục — video bản quyền không đọng + path.unlink(missing_ok=True) + try: + vdir.rmdir() + except OSError: + pass + raise + + await asyncio.get_running_loop().run_in_executor( + None, _log_analyzer_video, video_id, video.filename) + print(f"[poolcoach] segment job {video_id} vao queue " + f"({total / 1e6:.1f}MB, {video.filename})", flush=True) + return AnalyzerVideoCreateOut(id=video_id) + + +def _log_analyzer_video(video_id: str, filename: str | None) -> None: + """Row `analyzer_videos` — BEST-EFFORT như _log_recommend, không ném.""" + if not db.enabled(): + return + try: + with db.session() as s: + s.add(db.AnalyzerVideo(id=video_id, filename=filename, + status="queued")) + except Exception as e: # noqa: BLE001 — best-effort đúng nghĩa đen + print(f"[poolcoach] WARNING: khong ghi duoc analyzer_videos: " + f"{type(e).__name__}: {e}", flush=True) + + +def _shot_summary(item: dict, result: dict) -> None: + """Điền tóm tắt tham số của MỘT cú từ JSON kết quả analyze vào dict + hàng bảng — chỉ trích, không tính lại số nào.""" + m = result.get("metrics") or {} + item.update( + status="done", + v0_mps=m.get("v0_mps"), + phi_deg=m.get("phi_deg"), + spin_class=result.get("spin_class"), + spin_confidence=result.get("spin_confidence"), + n_collisions=m.get("n_collisions"), + n_warnings=len(result.get("warnings") or []), + # van A2 phần 1 — chỉ trích từ JSON, không tính lại; kết quả trước + # A2 không có key thì hàng không mọc cờ (exclude_none) + suspect_not_shot=result.get("suspect_not_shot"), + ) + # RMSE resim (A2 phần 2): cột bảng lấy bộ shotnet (model đang chạy app); + # vắng shotnet thì fallback analytic NHƯNG dán nhãn qua rmse_set — + # "ghi rõ bộ nào, đừng trộn" (BRIEF A2 bối cảnh 3) + rsets = (result.get("resim") or {}).get("sets") or {} + for set_name in ("shotnet", "analytic"): + rmse = (rsets.get(set_name) or {}).get("rmse_mm") + if rmse is not None: + item["rmse_mm"] = rmse + item["rmse_set"] = set_name + break + sn = result.get("shotnet") + if sn: + item["shotnet"] = AnalyzerShotNetBrief( + v0_cue_mps=sn["v0_cue_mps"], phi_deg=sn["phi_deg"], + a=sn["a"], b=sn["b"], spin_vert=sn["spin_vert"], + spin_side=sn["spin_side"], confidence=sn["confidence"], + confidence_raw=sn.get("confidence_raw"), + det_density=sn.get("det_density")) + + +def _sync_analyzer_db(video_id: str, video_status: str, n_shots: int | None, + items: list[AnalyzerShotItem]) -> None: + """Đồng bộ danh sách cú vào DB — BEST-EFFORT, chỉ ghi khi có THAY ĐỔI + (GET bị FE poll mỗi giây, không được thành máy spam UPDATE). Nguồn sự + thật vẫn là file; DB là sổ ghi danh sách để tra cứu sau (BRIEF A1).""" + if not db.enabled(): + return + try: + with db.session() as s: + v = s.get(db.AnalyzerVideo, video_id) + if v is not None and (v.status != video_status + or v.n_shots != n_shots): + v.status = video_status + v.n_shots = n_shots + v.updated_at = db.utcnow() + rows = {r.shot_idx: r for r in + s.query(db.AnalyzerShot).filter_by(video_id=video_id)} + for it in items: + brief = it.model_dump(exclude_none=True, + exclude={"thumb_url", "result_url", + "progress", "stage"}) + row = rows.get(it.idx) + if row is None: + s.add(db.AnalyzerShot( + video_id=video_id, shot_idx=it.idx, + t_start_s=it.t_start_s, t_end_s=it.t_end_s, + status=it.status, reason=it.reason, result=brief)) + elif row.status != it.status: + row.status = it.status + row.reason = it.reason + row.result = brief + row.updated_at = db.utcnow() + except Exception as e: # noqa: BLE001 — best-effort đúng nghĩa đen + print(f"[poolcoach] WARNING: khong sync duoc analyzer_shots: " + f"{type(e).__name__}: {e}", flush=True) + + +def _collect_shots(video: str) -> AnalyzerShotsOut: + """Dựng body danh sách cú của MỘT video — nguồn ghép theo thứ tự tin + cậy: manifest + JSON per cú trên ĐĨA (bền, nguồn sự thật) → status key + Redis (tiến độ job đang chạy) → "unknown" khi cả hai vắng (worker chết + giữa chừng — nói thẳng, không đoán). + + Tách từ GET /shots (A2 phần 5) để export CSV/JSON dùng CHUNG — hai + đường xuất và bảng phải cùng một số (gate A2.3/A2.5), không dựng lại. + + ĐỌC ĐĨA TRƯỚC (14/08, việc B): video ĐÃ có manifest trên đĩa thì phục vụ + được kể cả khi không có hàng đợi nào — đúng điều module này vẫn tuyên bố + ("Redis chỉ là kênh tiến độ, đĩa mới là nguồn sự thật", BG29b/BG31), và + là thứ giữ cho video mẫu bundled mở được ngay cả khi tầng CV chết. Chỉ + khi CHƯA có manifest mới cần hàng đợi để nói video đang ở đâu — không có + thì 503 nguyên văn như cũ. + """ + if not _valid_video_id(video): + raise HTTPException(422, "video phải là id 32 ký tự hex do " + "/api/analyzer/videos trả về.") + vdir = _analyzer_video_dir(video) + manifest = astore.read_json(astore.manifest_path(vdir)) + live = jobqueue.cv_enabled() + if manifest is None and not live: + raise HTTPException(503, "Tính năng phân tích video cần CV worker — " + "server này chưa bật hàng đợi (REDIS_URL).") + vst = None + if live: + try: + vst = jobqueue.get_video_status(video) + except jobqueue.QueueDown as e: + if manifest is None: + raise HTTPException(503, "Không kết nối được hàng đợi CV " + "(Redis) — kiểm tra Redis rồi thử " + "lại.") from e + live = False # có file rồi: Redis chết không cản đọc kết quả + + if manifest is None: + # chưa có file: video đang xếp hàng/đang scan/lỗi — theo Redis + if vst is None: + if vdir.exists(): + info = AnalyzerVideoInfo( + id=video, status="error", + message="Mất dấu job quét video (không còn trạng thái " + "trong hàng đợi, chưa có danh sách cú trên đĩa) " + "— worker có chết giữa chừng không?") + else: + raise HTTPException(404, "Không thấy video này — id sai " + "hoặc chưa từng upload.") + else: + info = AnalyzerVideoInfo( + id=video, status=vst.get("status", "queued"), + progress=vst.get("progress"), stage=vst.get("stage"), + message=vst.get("message")) + return AnalyzerShotsOut(video=info, shots=[], n_done=0, n_total=0) + + if manifest.get("status") == "error": + info = AnalyzerVideoInfo(id=video, status="error", + message=manifest.get("message")) + _sync_analyzer_db(video, "error", None, []) + return AnalyzerShotsOut(video=info, shots=[], n_done=0, n_total=0) + + shots_out: list[AnalyzerShotItem] = [] + n_done = 0 + for sh in manifest.get("shots", []): + idx = int(sh["idx"]) + item = { + "idx": idx, + "t_start_s": sh["t_start_s"], "t_end_s": sh["t_end_s"], + "t_onset_s": sh.get("t_onset_s"), + "t_settle_s": sh.get("t_settle_s"), + "status": "queued", + "reason": sh.get("reason"), + "thumb_url": (f"/api/analyzer/videos/{video}/shots/{idx}/thumb" + if sh.get("thumb") else None), + } + if sh.get("status") == "error": + # cú segmentation đã kết án (mất cảnh, quá dài...) — không có + # job analyze nào cho nó + item["status"] = "error" + else: + item["result_url"] = (f"/api/analyzer/videos/{video}" + f"/shots/{idx}/result") + result = astore.read_json(astore.shot_json_path(vdir, idx)) + if result is None: + # chưa có file — hỏi Redis tiến độ job per cú (chỉ khi còn + # hàng đợi: đọc đĩa thuần thì không có ai để hỏi) + rs = None + if live: + try: + rs = jobqueue.get_analyze_status( + astore.shot_analyze_id(video, idx)) + except jobqueue.QueueDown: + rs = None + if rs is None: + item["status"] = "unknown" + item["reason"] = ("Không còn dấu vết job phân tích cú " + "này (không file kết quả, hết hạn " + "hàng đợi) — worker có chết giữa " + "chừng không?") + elif rs.get("status") == "running": + item["status"] = "running" + item["progress"] = rs.get("progress") + item["stage"] = rs.get("stage") + elif rs.get("status") == "error": + item["status"] = "error" + item["reason"] = rs.get("message") + elif rs.get("status") == "done" and rs.get("result"): + # file chưa kịp/không ghi được nhưng Redis còn — vẫn + # phục vụ số (đừng bắt người dùng đợi một file hỏng) + _shot_summary(item, rs["result"]) + elif result.get("error"): + item["status"] = "error" + item["reason"] = result.get("message") + else: + _shot_summary(item, result) + # overlay per cú (A2 phần 3): file trên đĩa là nguồn sự thật — + # có file là có nút phát/tải, kể cả cú bị van gắn cờ + if astore.overlay_path(vdir, idx).exists(): + item["overlay_url"] = (f"/api/analyzer/videos/{video}" + f"/shots/{idx}/overlay") + if item["status"] == "done": + n_done += 1 + shots_out.append(AnalyzerShotItem(**item)) + + info = AnalyzerVideoInfo( + id=video, status="done", + n_shots=len(shots_out), + duration_s=manifest.get("duration_s"), + warnings=manifest.get("warnings") or None) + _sync_analyzer_db(video, "done", len(shots_out), shots_out) + return AnalyzerShotsOut(video=info, shots=shots_out, + n_done=n_done, n_total=len(shots_out)) + + +@app.get("/api/analyzer/shots", response_model=AnalyzerShotsOut, + response_model_exclude_none=True) +def api_analyzer_shots(video: str): + """Danh sách cú của MỘT video — hiện DẦN theo tiến độ (FE poll). + Sync def (threadpool) vì lệnh Redis blocking — nếp api_analyze_status. + Toàn bộ logic ở _collect_shots (dùng chung với export A2 phần 5).""" + return _collect_shots(video) + + +_ANV_STATUS_VN = {"done": "xong", "running": "đang phân tích", + "queued": "chờ phân tích", "unknown": "mất dấu", + "error": "không phân tích được"} + + +@app.get("/api/analyzer/videos/{video_id}/export.csv") +def api_analyzer_export_csv(video_id: str): + """Xuất CSV toàn danh sách cú (A2 phần 5) — đủ cột của bảng + cờ van + + RMSE, mỗi cú một hàng KỂ CẢ cú lỗi/cú bị van gắn cờ (không lọc). + Ghi **UTF-8 BOM** (utf-8-sig) — tiếng Việt mở trong Excel không vỡ + font (BRIEF A2 phần 5); CRLF cho Excel. Cùng nguồn _collect_shots với + bảng — hai nơi không thể lệch nhau.""" + import csv + import io + + from fastapi.responses import Response + + out = _collect_shots(video_id) + buf = io.StringIO() + w = csv.writer(buf, lineterminator="\r\n") + w.writerow(["# cú", "t_onset_s", "t_start_s", "t_end_s", "trạng thái", + "V0 gậy model (m/s)", "φ model (°)", "a", "b", + "spin model", "tin cậy model", + "V0 bi analytic (m/s)", "φ analytic (°)", "spin analytic", + "tin cậy analytic", "RMSE resim (mm)", "bộ params RMSE", + "nghi không phải cú đánh", "lý do van", + "số va chạm", "số cảnh báo", "lý do lỗi"]) + for s in out.shots: + sn = s.shotnet + sus = s.suspect_not_shot + w.writerow([ + s.idx, s.t_onset_s, s.t_start_s, s.t_end_s, + _ANV_STATUS_VN.get(s.status, s.status), + sn.v0_cue_mps if sn else None, + sn.phi_deg if sn else None, + sn.a if sn else None, sn.b if sn else None, + f"{sn.spin_vert}+{sn.spin_side}" if sn else None, + sn.confidence if sn else None, + s.v0_mps, s.phi_deg, s.spin_class, s.spin_confidence, + s.rmse_mm, s.rmse_set, + (None if sus is None else ("có" if sus.flagged else "không")), + "; ".join(sus.reasons) if sus and sus.reasons else None, + s.n_collisions, s.n_warnings, s.reason, + ]) + return Response( + content=buf.getvalue().encode("utf-8-sig"), + media_type="text/csv; charset=utf-8", + headers={"Content-Disposition": + f'attachment; filename="analyzer_{video_id[:8]}_shots.csv"'}) + + +@app.get("/api/analyzer/videos/{video_id}/export.json") +def api_analyzer_export_json(video_id: str): + """Xuất JSON toàn danh sách cú (A2 phần 5) — đúng body của GET /shots + (cùng _collect_shots), trả dạng attachment để lưu file.""" + from fastapi.responses import JSONResponse + + out = _collect_shots(video_id) + return JSONResponse( + out.model_dump(exclude_none=True), + headers={"Content-Disposition": + f'attachment; filename="analyzer_{video_id[:8]}_shots.json"'}) + + +@app.get("/api/analyzer/videos/{video_id}/shots/{idx}/result") +def api_analyzer_shot_result(video_id: str, idx: int): + """JSON kết quả THÔ của một cú — trang chi tiết lát A1 (design §6: + "click ra JSON thô là đủ"; trang đẹp là A2).""" + from fastapi.responses import JSONResponse + + if not _valid_video_id(video_id): + raise HTTPException(422, "video_id phải là id 32 ký tự hex.") + data = astore.read_json( + astore.shot_json_path(_analyzer_video_dir(video_id), idx)) + if data is None: + raise HTTPException(404, "Chưa có kết quả cho cú này — cú đang chờ " + "phân tích, hoặc id/cú sai.") + return JSONResponse(data) + + +@app.get("/api/analyzer/videos/{video_id}/shots/{idx}/thumb") +def api_analyzer_shot_thumb(video_id: str, idx: int): + """Thumbnail frame đầu cú (worker lưu lúc scan) — cột đầu bảng §3.1.""" + from fastapi.responses import FileResponse + + if not _valid_video_id(video_id): + raise HTTPException(422, "video_id phải là id 32 ký tự hex.") + p = astore.thumb_path(_analyzer_video_dir(video_id), idx) + if not p.exists(): + raise HTTPException(404, "Không có thumbnail cho cú này.") + return FileResponse(p, media_type="image/jpeg") + + +@app.get("/api/analyzer/videos/{video_id}/shots/{idx}/overlay") +def api_analyzer_shot_overlay(video_id: str, idx: int): + """overlay.mp4 per cú (lát A2 phần 3) — worker render trong job + analyze, trước khi xoá clip. Trang chi tiết phát bằng