35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
from audita.chunking import chunk_transcript
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from audita.prompts import build_glossary_correction_messages
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from audita.schemas import parse_glossary_yaml, parse_transcript_json
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def test_prompt_requires_acoustically_plausible_transcription_errors():
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transcript = parse_transcript_json(
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"""
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[
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{"speaker": "Eric", "start": 0.0, "end": 1.0, "text": "The gestures are nearby."}
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]
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"""
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)
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glossary = parse_glossary_yaml(
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"""
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glossary:
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- name: "Jesters"
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category: faction
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summary: "The Jesters are a local faction."
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- name: "Lyra"
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category: npc
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summary: "Lyra is a hostile NPC."
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"""
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)
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section = chunk_transcript(transcript, max_section_tokens=16000)[0]
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messages = build_glossary_correction_messages(section, glossary)
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prompt_text = "\n".join(message["content"] for message in messages)
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assert "acoustically plausible" in prompt_text
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assert "phonetically or acoustically similar" in prompt_text
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assert '"gestures" to "Jesters"' in prompt_text
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assert '"Lyra" to "Jesters"' in prompt_text
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assert "should be omitted" in prompt_text
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