mirror of
https://github.com/Monadical-SAS/reflector.git
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1d92d43fe0
* handover final summary to Zephyr deployment * fix display error * push new summary feature * fix failing test case * Added markdown support for final summary * update UI render issue * retain sentence tokenizer call --------- Co-authored-by: Koper <andreas@monadical.com>
105 lines
3.5 KiB
Python
105 lines
3.5 KiB
Python
from unittest.mock import patch
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import pytest
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@pytest.fixture(scope="function", autouse=True)
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@pytest.mark.asyncio
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async def setup_database():
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from reflector.settings import settings
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from tempfile import NamedTemporaryFile
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with NamedTemporaryFile() as f:
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settings.DATABASE_URL = f"sqlite:///{f.name}"
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from reflector.db import engine, metadata
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metadata.create_all(bind=engine)
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yield
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@pytest.fixture
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def dummy_processors():
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with patch(
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"reflector.processors.transcript_topic_detector.TranscriptTopicDetectorProcessor.get_topic"
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) as mock_topic, patch(
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"reflector.processors.transcript_final_title.TranscriptFinalTitleProcessor.get_title"
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) as mock_title, patch(
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"reflector.processors.transcript_final_long_summary.TranscriptFinalLongSummaryProcessor.get_long_summary"
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) as mock_long_summary, patch(
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"reflector.processors.transcript_final_short_summary.TranscriptFinalShortSummaryProcessor.get_short_summary"
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) as mock_short_summary, patch(
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"reflector.processors.transcript_translator.TranscriptTranslatorProcessor.get_translation"
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) as mock_translate:
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mock_topic.return_value = {"title": "LLM TITLE", "summary": "LLM SUMMARY"}
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mock_title.return_value = {"title": "LLM TITLE"}
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mock_long_summary.return_value = "LLM LONG SUMMARY"
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mock_short_summary.return_value = {"short_summary": "LLM SHORT SUMMARY"}
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mock_translate.return_value = "Bonjour le monde"
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yield mock_translate, mock_topic, mock_title, mock_long_summary, mock_short_summary # noqa
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@pytest.fixture
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async def dummy_transcript():
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from reflector.processors.audio_transcript import AudioTranscriptProcessor
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from reflector.processors.types import AudioFile, Transcript, Word
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class TestAudioTranscriptProcessor(AudioTranscriptProcessor):
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async def _transcript(self, data: AudioFile):
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source_language = self.get_pref("audio:source_language", "en")
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print("transcripting", source_language)
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print("pipeline", self.pipeline)
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print("prefs", self.pipeline.prefs)
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return Transcript(
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text="Hello world.",
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words=[
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Word(start=0.0, end=1.0, text="Hello"),
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Word(start=1.0, end=2.0, text=" world."),
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],
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)
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with patch(
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"reflector.processors.audio_transcript_auto"
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".AudioTranscriptAutoProcessor.get_instance"
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) as mock_audio:
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mock_audio.return_value = TestAudioTranscriptProcessor()
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yield
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@pytest.fixture
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async def dummy_llm():
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from reflector.llm.base import LLM
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class TestLLM(LLM):
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def __init__(self):
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self.model_name = "DUMMY MODEL"
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self.llm_tokenizer = "DUMMY TOKENIZER"
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with patch("reflector.llm.base.LLM.get_instance") as mock_llm:
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mock_llm.return_value = TestLLM()
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yield
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@pytest.fixture
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def nltk():
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with patch("reflector.llm.base.LLM.ensure_nltk") as mock_nltk:
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mock_nltk.return_value = "NLTK PACKAGE"
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yield
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@pytest.fixture
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def ensure_casing():
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with patch("reflector.llm.base.LLM.ensure_casing") as mock_casing:
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mock_casing.return_value = "LLM TITLE"
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yield
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@pytest.fixture
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def sentence_tokenize():
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with patch(
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"reflector.processors.TranscriptFinalLongSummaryProcessor" ".sentence_tokenize"
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) as mock_sent_tokenize:
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mock_sent_tokenize.return_value = ["LLM LONG SUMMARY"]
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yield
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