Isolated enrichment subsystem mirroring the music worker pattern, on video.db.
- VideoEnrichmentWorker: daemon loop pulling enrichment_next -> client.match ->
enrichment_apply; pause/resume/stop; get_stats in the same shape the music
enrichment API returns (enabled/running/paused/idle/current_item/stats/
progress/breakdown). Client injected -> loop fully unit-tested with a fake.
- TMDB/TVDB clients (thin adapters, keys from video_settings): .enabled +
match(kind,title,year) -> {id, metadata}; validated live, worker logic tested.
- VideoEnrichmentEngine registry + lazy get_video_enrichment_engine() singleton.
8 tests (match/not_found/error-resilience/stats/disabled/engine/isolation).
60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
"""Video enrichment engine — owns the per-source workers (registry).
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Parallels music's enrichment registry but is isolated to the video side. Built
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lazily as a process-wide singleton; starts the workers (each idles until its API
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key is configured). Imports only video.db + this package.
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"""
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from __future__ import annotations
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import threading
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from utils.logging_config import get_logger
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from .worker import VideoEnrichmentWorker
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logger = get_logger("video_enrichment.engine")
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_DISPLAY = {"tmdb": "TMDB", "tvdb": "TVDB"}
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class VideoEnrichmentEngine:
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def __init__(self, db, clients: dict):
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self.db = db
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self.workers = {
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service: VideoEnrichmentWorker(db, service, client, display_name=_DISPLAY.get(service))
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for service, client in clients.items()
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}
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def start_all(self):
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for w in self.workers.values():
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w.start()
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def stop_all(self):
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for w in self.workers.values():
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w.stop()
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def worker(self, service):
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return self.workers.get(service)
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def services(self) -> list:
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return [{"id": s, "display_name": w.display_name} for s, w in self.workers.items()]
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_engine = None
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_lock = threading.Lock()
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def get_video_enrichment_engine():
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"""Process-wide engine, created (and started) on first use."""
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global _engine
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if _engine is None:
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with _lock:
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if _engine is None:
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from database.video_database import VideoDatabase
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from .clients import build_clients
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db = VideoDatabase()
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eng = VideoEnrichmentEngine(db, build_clients(db))
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eng.start_all()
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_engine = eng
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return _engine
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