77 lines
1.8 KiB
Python
77 lines
1.8 KiB
Python
import pytest
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from audita.errors import AuditaValidationError
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from audita.schemas import parse_glossary_yaml, parse_transcript_json
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def test_valid_transcript_parses():
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segments = parse_transcript_json(
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"""
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[
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{"speaker": "Eric", "start": 0.0, "end": 1.25, "text": "Then Lyra."}
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]
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"""
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)
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assert len(segments) == 1
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assert segments[0].speaker == "Eric"
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def test_transcript_rejects_extra_fields():
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with pytest.raises(AuditaValidationError):
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parse_transcript_json(
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"""
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[
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{"speaker": "Eric", "start": 0.0, "end": 1.25, "text": "Hi", "extra": true}
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]
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"""
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)
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def test_transcript_rejects_bad_timestamps():
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with pytest.raises(AuditaValidationError):
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parse_transcript_json(
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"""
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[
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{"speaker": "Eric", "start": 2.0, "end": 1.0, "text": "Hi"}
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]
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"""
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)
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def test_transcript_rejects_empty_input():
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with pytest.raises(AuditaValidationError):
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parse_transcript_json("[]")
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def test_valid_glossary_parses():
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glossary = parse_glossary_yaml(
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"""
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glossary:
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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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assert glossary.glossary[0].name == "Lyra"
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def test_glossary_rejects_empty_entries():
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with pytest.raises(AuditaValidationError):
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parse_glossary_yaml("glossary: []")
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def test_glossary_rejects_extra_fields():
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with pytest.raises(AuditaValidationError):
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parse_glossary_yaml(
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"""
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glossary:
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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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extra: "nope"
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"""
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)
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