100 lines
2.4 KiB
Python
100 lines
2.4 KiB
Python
from pathlib import Path
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import pytest
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from audita.config import AuditaConfig
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from audita.errors import AuditaValidationError
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from audita.pipeline import process_transcript
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from audita.schemas import CorrectionCandidate, CorrectionSet, parse_glossary_yaml, parse_transcript_json
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class FakeLLMClient:
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def __init__(self, responses):
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self.responses = list(responses)
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self.calls = 0
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def create_corrections(self, messages, config):
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self.calls += 1
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return self.responses.pop(0)
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def _config(tmp_path):
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return AuditaConfig(
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api_key="key",
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max_section_tokens=16000,
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confidence_threshold=0.8,
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max_retries=3,
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work_dir=tmp_path / "work",
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)
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def _glossary():
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return parse_glossary_yaml(
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"""
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glossary:
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- name: "Chauntea"
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category: deity
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summary: "Chauntea is a deity."
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"""
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)
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def _transcript():
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return parse_transcript_json(
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"""
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[
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{"speaker": "Eric", "start": 0.0, "end": 1.0, "text": "I ask Chontia."}
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]
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"""
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)
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def test_pipeline_processes_with_fake_llm_and_cleans_work_dir(tmp_path):
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correction = CorrectionCandidate(
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segment_index=0,
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speaker="Eric",
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start=0.0,
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end=1.0,
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original_text="I ask Chontia.",
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corrected_text="I ask Chauntea.",
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confidence=0.95,
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)
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fake_client = FakeLLMClient([CorrectionSet(corrections=[correction])])
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revised = process_transcript(
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_transcript(),
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_glossary(),
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_config(tmp_path),
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llm_client=fake_client,
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)
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assert revised[0].text == "I ask Chauntea."
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assert fake_client.calls == 1
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assert list((tmp_path / "work").iterdir()) == []
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def test_pipeline_preserves_work_dir_on_failure(tmp_path):
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correction = CorrectionCandidate(
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segment_index=0,
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speaker="Eric",
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start=0.0,
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end=1.0,
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original_text="Different text.",
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corrected_text="I ask Chauntea.",
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confidence=0.95,
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)
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fake_client = FakeLLMClient([CorrectionSet(corrections=[correction])])
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with pytest.raises(AuditaValidationError):
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process_transcript(
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_transcript(),
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_glossary(),
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_config(tmp_path),
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llm_client=fake_client,
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)
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preserved = list((tmp_path / "work").iterdir())
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assert len(preserved) == 1
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assert (Path(preserved[0]) / "section-0000.json").exists()
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