mirror of
https://github.com/Monadical-SAS/reflector.git
synced 2025-12-20 12:19:06 +00:00
Mathieu Virbel
9dfd76996f
* feat: use file pipeline for upload and reprocess action * fix: make file pipeline correctly report status events * fix: duplication of transcripts_controller * fix: tests * test: fix file upload test * test: fix reprocess * fix: also patch from main_file_pipeline (how patch is done is dependent of file import unfortunately)
406 lines
12 KiB
Python
406 lines
12 KiB
Python
import os
|
|
from tempfile import NamedTemporaryFile
|
|
from unittest.mock import patch
|
|
|
|
import pytest
|
|
|
|
|
|
@pytest.fixture(scope="session", autouse=True)
|
|
def settings_configuration():
|
|
# theses settings are linked to monadical for pytest-recording
|
|
# if a fork is done, they have to provide their own url when cassettes needs to be updated
|
|
# modal api keys has to be defined by the user
|
|
from reflector.settings import settings
|
|
|
|
settings.TRANSCRIPT_BACKEND = "modal"
|
|
settings.TRANSCRIPT_URL = (
|
|
"https://monadical-sas--reflector-transcriber-parakeet-web.modal.run"
|
|
)
|
|
settings.DIARIZATION_BACKEND = "modal"
|
|
settings.DIARIZATION_URL = "https://monadical-sas--reflector-diarizer-web.modal.run"
|
|
|
|
|
|
@pytest.fixture(scope="module")
|
|
def vcr_config():
|
|
"""VCR configuration to filter sensitive headers"""
|
|
return {
|
|
"filter_headers": [("authorization", "DUMMY_API_KEY")],
|
|
}
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def docker_compose_file(pytestconfig):
|
|
return os.path.join(str(pytestconfig.rootdir), "tests", "docker-compose.test.yml")
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def postgres_service(docker_ip, docker_services):
|
|
"""Ensure that PostgreSQL service is up and responsive."""
|
|
port = docker_services.port_for("postgres_test", 5432)
|
|
|
|
def is_responsive():
|
|
try:
|
|
import psycopg2
|
|
|
|
conn = psycopg2.connect(
|
|
host=docker_ip,
|
|
port=port,
|
|
dbname="reflector_test",
|
|
user="test_user",
|
|
password="test_password",
|
|
)
|
|
conn.close()
|
|
return True
|
|
except Exception:
|
|
return False
|
|
|
|
docker_services.wait_until_responsive(timeout=30.0, pause=0.1, check=is_responsive)
|
|
|
|
# Return connection parameters
|
|
return {
|
|
"host": docker_ip,
|
|
"port": port,
|
|
"dbname": "reflector_test",
|
|
"user": "test_user",
|
|
"password": "test_password",
|
|
}
|
|
|
|
|
|
@pytest.fixture(scope="function", autouse=True)
|
|
@pytest.mark.asyncio
|
|
async def setup_database(postgres_service):
|
|
from reflector.db import engine, metadata, get_database # noqa
|
|
|
|
metadata.drop_all(bind=engine)
|
|
metadata.create_all(bind=engine)
|
|
database = get_database()
|
|
|
|
try:
|
|
await database.connect()
|
|
yield
|
|
finally:
|
|
await database.disconnect()
|
|
|
|
|
|
@pytest.fixture
|
|
def dummy_processors():
|
|
with (
|
|
patch(
|
|
"reflector.processors.transcript_topic_detector.TranscriptTopicDetectorProcessor.get_topic"
|
|
) as mock_topic,
|
|
patch(
|
|
"reflector.processors.transcript_final_title.TranscriptFinalTitleProcessor.get_title"
|
|
) as mock_title,
|
|
patch(
|
|
"reflector.processors.transcript_final_summary.TranscriptFinalSummaryProcessor.get_long_summary"
|
|
) as mock_long_summary,
|
|
patch(
|
|
"reflector.processors.transcript_final_summary.TranscriptFinalSummaryProcessor.get_short_summary"
|
|
) as mock_short_summary,
|
|
):
|
|
from reflector.processors.transcript_topic_detector import TopicResponse
|
|
|
|
mock_topic.return_value = TopicResponse(
|
|
title="LLM TITLE", summary="LLM SUMMARY"
|
|
)
|
|
mock_title.return_value = "LLM Title"
|
|
mock_long_summary.return_value = "LLM LONG SUMMARY"
|
|
mock_short_summary.return_value = "LLM SHORT SUMMARY"
|
|
yield (
|
|
mock_topic,
|
|
mock_title,
|
|
mock_long_summary,
|
|
mock_short_summary,
|
|
) # noqa
|
|
|
|
|
|
@pytest.fixture
|
|
async def whisper_transcript():
|
|
from reflector.processors.audio_transcript_whisper import (
|
|
AudioTranscriptWhisperProcessor,
|
|
)
|
|
|
|
with patch(
|
|
"reflector.processors.audio_transcript_auto"
|
|
".AudioTranscriptAutoProcessor.__new__"
|
|
) as mock_audio:
|
|
mock_audio.return_value = AudioTranscriptWhisperProcessor()
|
|
yield
|
|
|
|
|
|
@pytest.fixture
|
|
async def dummy_transcript():
|
|
from reflector.processors.audio_transcript import AudioTranscriptProcessor
|
|
from reflector.processors.types import AudioFile, Transcript, Word
|
|
|
|
class TestAudioTranscriptProcessor(AudioTranscriptProcessor):
|
|
_time_idx = 0
|
|
|
|
async def _transcript(self, data: AudioFile):
|
|
i = self._time_idx
|
|
self._time_idx += 2
|
|
return Transcript(
|
|
text="Hello world.",
|
|
words=[
|
|
Word(start=i, end=i + 1, text="Hello", speaker=0),
|
|
Word(start=i + 1, end=i + 2, text=" world.", speaker=0),
|
|
],
|
|
)
|
|
|
|
with patch(
|
|
"reflector.processors.audio_transcript_auto"
|
|
".AudioTranscriptAutoProcessor.__new__"
|
|
) as mock_audio:
|
|
mock_audio.return_value = TestAudioTranscriptProcessor()
|
|
yield
|
|
|
|
|
|
@pytest.fixture
|
|
async def dummy_diarization():
|
|
from reflector.processors.audio_diarization import AudioDiarizationProcessor
|
|
|
|
class TestAudioDiarizationProcessor(AudioDiarizationProcessor):
|
|
_time_idx = 0
|
|
|
|
async def _diarize(self, data):
|
|
i = self._time_idx
|
|
self._time_idx += 2
|
|
return [
|
|
{"start": i, "end": i + 1, "speaker": 0},
|
|
{"start": i + 1, "end": i + 2, "speaker": 1},
|
|
]
|
|
|
|
with patch(
|
|
"reflector.processors.audio_diarization_auto"
|
|
".AudioDiarizationAutoProcessor.__new__"
|
|
) as mock_audio:
|
|
mock_audio.return_value = TestAudioDiarizationProcessor()
|
|
yield
|
|
|
|
|
|
@pytest.fixture
|
|
async def dummy_file_transcript():
|
|
from reflector.processors.file_transcript import FileTranscriptProcessor
|
|
from reflector.processors.types import Transcript, Word
|
|
|
|
class TestFileTranscriptProcessor(FileTranscriptProcessor):
|
|
async def _transcript(self, data):
|
|
return Transcript(
|
|
text="Hello world. How are you today?",
|
|
words=[
|
|
Word(start=0.0, end=0.5, text="Hello", speaker=0),
|
|
Word(start=0.5, end=0.6, text=" ", speaker=0),
|
|
Word(start=0.6, end=1.0, text="world", speaker=0),
|
|
Word(start=1.0, end=1.1, text=".", speaker=0),
|
|
Word(start=1.1, end=1.2, text=" ", speaker=0),
|
|
Word(start=1.2, end=1.5, text="How", speaker=0),
|
|
Word(start=1.5, end=1.6, text=" ", speaker=0),
|
|
Word(start=1.6, end=1.8, text="are", speaker=0),
|
|
Word(start=1.8, end=1.9, text=" ", speaker=0),
|
|
Word(start=1.9, end=2.1, text="you", speaker=0),
|
|
Word(start=2.1, end=2.2, text=" ", speaker=0),
|
|
Word(start=2.2, end=2.5, text="today", speaker=0),
|
|
Word(start=2.5, end=2.6, text="?", speaker=0),
|
|
],
|
|
)
|
|
|
|
with patch(
|
|
"reflector.processors.file_transcript_auto.FileTranscriptAutoProcessor.__new__"
|
|
) as mock_auto:
|
|
mock_auto.return_value = TestFileTranscriptProcessor()
|
|
yield
|
|
|
|
|
|
@pytest.fixture
|
|
async def dummy_file_diarization():
|
|
from reflector.processors.file_diarization import (
|
|
FileDiarizationOutput,
|
|
FileDiarizationProcessor,
|
|
)
|
|
from reflector.processors.types import DiarizationSegment
|
|
|
|
class TestFileDiarizationProcessor(FileDiarizationProcessor):
|
|
async def _diarize(self, data):
|
|
return FileDiarizationOutput(
|
|
diarization=[
|
|
DiarizationSegment(start=0.0, end=1.1, speaker=0),
|
|
DiarizationSegment(start=1.2, end=2.6, speaker=1),
|
|
]
|
|
)
|
|
|
|
with patch(
|
|
"reflector.processors.file_diarization_auto.FileDiarizationAutoProcessor.__new__"
|
|
) as mock_auto:
|
|
mock_auto.return_value = TestFileDiarizationProcessor()
|
|
yield
|
|
|
|
|
|
@pytest.fixture
|
|
async def dummy_transcript_translator():
|
|
from reflector.processors.transcript_translator import TranscriptTranslatorProcessor
|
|
|
|
class TestTranscriptTranslatorProcessor(TranscriptTranslatorProcessor):
|
|
async def _translate(self, text: str) -> str:
|
|
source_language = self.get_pref("audio:source_language", "en")
|
|
target_language = self.get_pref("audio:target_language", "en")
|
|
return f"{source_language}:{target_language}:{text}"
|
|
|
|
def mock_new(cls, *args, **kwargs):
|
|
return TestTranscriptTranslatorProcessor(*args, **kwargs)
|
|
|
|
with patch(
|
|
"reflector.processors.transcript_translator_auto"
|
|
".TranscriptTranslatorAutoProcessor.__new__",
|
|
mock_new,
|
|
):
|
|
yield
|
|
|
|
|
|
@pytest.fixture
|
|
async def dummy_llm():
|
|
from reflector.llm import LLM
|
|
|
|
class TestLLM(LLM):
|
|
def __init__(self):
|
|
self.model_name = "DUMMY MODEL"
|
|
self.llm_tokenizer = "DUMMY TOKENIZER"
|
|
|
|
# LLM doesn't have get_instance anymore, mocking constructor instead
|
|
with patch("reflector.llm.LLM") as mock_llm:
|
|
mock_llm.return_value = TestLLM()
|
|
yield
|
|
|
|
|
|
@pytest.fixture
|
|
async def dummy_storage():
|
|
from reflector.storage.base import Storage
|
|
|
|
class DummyStorage(Storage):
|
|
async def _put_file(self, *args, **kwargs):
|
|
pass
|
|
|
|
async def _delete_file(self, *args, **kwargs):
|
|
pass
|
|
|
|
async def _get_file_url(self, *args, **kwargs):
|
|
return "http://fake_server/audio.mp3"
|
|
|
|
async def _get_file(self, *args, **kwargs):
|
|
from pathlib import Path
|
|
|
|
test_mp3 = Path(__file__).parent / "records" / "test_mathieu_hello.mp3"
|
|
return test_mp3.read_bytes()
|
|
|
|
dummy = DummyStorage()
|
|
with (
|
|
patch("reflector.storage.base.Storage.get_instance") as mock_storage,
|
|
patch("reflector.storage.get_transcripts_storage") as mock_get_transcripts,
|
|
patch(
|
|
"reflector.pipelines.main_file_pipeline.get_transcripts_storage"
|
|
) as mock_get_transcripts2,
|
|
):
|
|
mock_storage.return_value = dummy
|
|
mock_get_transcripts.return_value = dummy
|
|
mock_get_transcripts2.return_value = dummy
|
|
yield
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def celery_enable_logging():
|
|
return True
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def celery_config():
|
|
with NamedTemporaryFile() as f:
|
|
yield {
|
|
"broker_url": "memory://",
|
|
"result_backend": f"db+sqlite:///{f.name}",
|
|
}
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def celery_includes():
|
|
return [
|
|
"reflector.pipelines.main_live_pipeline",
|
|
"reflector.pipelines.main_file_pipeline",
|
|
]
|
|
|
|
|
|
@pytest.fixture
|
|
async def client():
|
|
from httpx import AsyncClient
|
|
|
|
from reflector.app import app
|
|
|
|
async with AsyncClient(app=app, base_url="http://test/v1") as ac:
|
|
yield ac
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def fake_mp3_upload():
|
|
with patch(
|
|
"reflector.db.transcripts.TranscriptController.move_mp3_to_storage"
|
|
) as mock_move:
|
|
mock_move.return_value = True
|
|
yield
|
|
|
|
|
|
@pytest.fixture
|
|
async def fake_transcript_with_topics(tmpdir, client):
|
|
import shutil
|
|
from pathlib import Path
|
|
|
|
from reflector.db.transcripts import TranscriptTopic
|
|
from reflector.processors.types import Word
|
|
from reflector.settings import settings
|
|
from reflector.views.transcripts import transcripts_controller
|
|
|
|
settings.DATA_DIR = Path(tmpdir)
|
|
|
|
# create a transcript
|
|
response = await client.post("/transcripts", json={"name": "Test audio download"})
|
|
assert response.status_code == 200
|
|
tid = response.json()["id"]
|
|
|
|
transcript = await transcripts_controller.get_by_id(tid)
|
|
assert transcript is not None
|
|
|
|
await transcripts_controller.update(transcript, {"status": "ended"})
|
|
|
|
# manually copy a file at the expected location
|
|
audio_filename = transcript.audio_mp3_filename
|
|
path = Path(__file__).parent / "records" / "test_mathieu_hello.mp3"
|
|
audio_filename.parent.mkdir(parents=True, exist_ok=True)
|
|
shutil.copy(path, audio_filename)
|
|
|
|
# create some topics
|
|
await transcripts_controller.upsert_topic(
|
|
transcript,
|
|
TranscriptTopic(
|
|
title="Topic 1",
|
|
summary="Topic 1 summary",
|
|
timestamp=0,
|
|
transcript="Hello world",
|
|
words=[
|
|
Word(text="Hello", start=0, end=1, speaker=0),
|
|
Word(text="world", start=1, end=2, speaker=0),
|
|
],
|
|
),
|
|
)
|
|
await transcripts_controller.upsert_topic(
|
|
transcript,
|
|
TranscriptTopic(
|
|
title="Topic 2",
|
|
summary="Topic 2 summary",
|
|
timestamp=2,
|
|
transcript="Hello world",
|
|
words=[
|
|
Word(text="Hello", start=2, end=3, speaker=0),
|
|
Word(text="world", start=3, end=4, speaker=0),
|
|
],
|
|
),
|
|
)
|
|
|
|
yield transcript
|