mirror of
https://github.com/Monadical-SAS/reflector.git
synced 2025-12-21 04:39:06 +00:00
Mathieu Virbel
9eab952c63
* feat: remove support of sqlite, 100% postgres * fix: more migration and make datetime timezone aware in postgres * fix: change how database is get, and use contextvar to have difference instance between different loops * test: properly use client fixture that handle lifetime/database connection * fix: add missing client fixture parameters to test functions This commit fixes NameError issues where test functions were trying to use the 'client' fixture but didn't have it as a parameter. The changes include: 1. Added 'client' parameter to test functions in: - test_transcripts_audio_download.py (6 functions including fixture) - test_transcripts_speaker.py (3 functions) - test_transcripts_upload.py (1 function) - test_transcripts_rtc_ws.py (2 functions + appserver fixture) 2. Resolved naming conflicts in test_transcripts_rtc_ws.py where both HTTP client and StreamClient were using variable name 'client'. StreamClient instances are now named 'stream_client' to avoid conflicts. 3. Added missing 'from reflector.app import app' import in rtc_ws tests. Background: Previously implemented contextvars solution with get_database() function resolves asyncio event loop conflicts in Celery tasks. The global client fixture was also created to replace manual AsyncClient instances, ensuring proper FastAPI application lifecycle management and database connections during tests. All tests now pass except for 2 pre-existing RTC WebSocket test failures related to asyncpg connection issues unrelated to these fixes. * fix: ensure task are correctly closed * fix: make separate event loop for the live server * fix: make default settings pointing at postgres * build: remove pytest-docker deps out of dev, just tests group
70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
import csv
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import pathlib
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async def export_db(filename: str) -> None:
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from reflector.settings import settings
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filename = pathlib.Path(filename).resolve()
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settings.DATABASE_URL = f"sqlite:///{filename}"
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from reflector.db import get_database, transcripts
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database = get_database()
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await database.connect()
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transcripts = await database.fetch_all(transcripts.select())
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await database.disconnect()
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def export_transcript(transcript):
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tid = transcript.id
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yield tid, "title", transcript.title
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yield tid, "name", transcript.name
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yield tid, "created_at", transcript.created_at
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yield tid, "long_summary", transcript.long_summary
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yield tid, "short_summary", transcript.short_summary
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yield tid, "source_language", transcript.source_language
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yield tid, "target_language", transcript.target_language
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yield tid, "user_id", transcript.user_id
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yield tid, "status", transcript.status
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for topic in transcript.topics:
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yield tid, "topic", topic["id"], "title", topic["title"]
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yield tid, "topic", topic["id"], "summary", topic["summary"]
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yield tid, "topic", topic["id"], "timestamp", topic["timestamp"]
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yield tid, "topic", topic["id"], "transcript", topic["transcript"]
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# extract transcripts
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for idx, entry in enumerate(transcript.events):
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if entry["event"] == "TRANSCRIPT":
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yield tid, "event_transcript", idx, "text", entry["data"]["text"]
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if entry["data"].get("translation") is not None:
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yield (
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tid,
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"event_transcript",
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idx,
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"translation",
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entry["data"].get("translation", None),
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)
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def export_transcripts(transcripts):
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for transcript in transcripts:
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yield from export_transcript(transcript)
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csv_output = pathlib.Path("export.csv").resolve()
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output = csv.writer(open(csv_output, "w"))
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output.writerow(["transcript_id", "key", "value", "key", "value"])
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for row in export_transcripts(transcripts):
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output.writerow(row)
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print(f"Exported {len(transcripts)} transcripts to {csv_output}")
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if __name__ == "__main__":
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import argparse
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import asyncio
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parser = argparse.ArgumentParser()
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parser.add_argument("database", help="Sqlite Database file")
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args = parser.parse_args()
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asyncio.run(export_db(args.database))
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