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| import pytest | |
| from app.services.auto_correction import AutoCorrectionService | |
| def auto_correct(): | |
| return AutoCorrectionService() | |
| def test_evaluate_pipeline_results_perfect(auto_correct): | |
| results = { | |
| "speech_evaluation": {"wer": 0.05, "cer": 0.02}, | |
| "translation_evaluation": {"semantic_similarity": 95.0, "bleu": 40.0}, | |
| "pronunciation_verification": {"score": 90.0}, | |
| "emotion_analysis": {"similarity_score": 85.0}, | |
| "speaker_similarity": {"is_same_speaker": True}, | |
| "audio_quality": {"status": "PASS"} | |
| } | |
| res = auto_correct.evaluate_pipeline_results(results) | |
| assert res["status"] == "PASS" | |
| assert res["overall_score"] == 100.0 | |
| assert len(res["issues_detected"]) == 0 | |
| def test_evaluate_pipeline_results_bad(auto_correct): | |
| results = { | |
| "speech_evaluation": {"wer": 0.50}, | |
| "audio_quality": {"status": "FAIL"} | |
| } | |
| res = auto_correct.evaluate_pipeline_results(results) | |
| assert res["status"] == "NEEDS_FIX" | |
| assert res["overall_score"] < 100.0 | |
| assert len(res["issues_detected"]) >= 2 | |