import pytest

from audita.errors import AuditaValidationError
from audita.schemas import parse_glossary_yaml, parse_transcript_json


def test_valid_transcript_parses():
    segments = parse_transcript_json(
        """
        [
          {"speaker": "Eric", "start": 0.0, "end": 1.25, "text": "Then Lyra."}
        ]
        """
    )

    assert len(segments) == 1
    assert segments[0].speaker == "Eric"


def test_transcript_rejects_extra_fields():
    with pytest.raises(AuditaValidationError):
        parse_transcript_json(
            """
            [
              {"speaker": "Eric", "start": 0.0, "end": 1.25, "text": "Hi", "extra": true}
            ]
            """
        )


def test_transcript_rejects_bad_timestamps():
    with pytest.raises(AuditaValidationError):
        parse_transcript_json(
            """
            [
              {"speaker": "Eric", "start": 2.0, "end": 1.0, "text": "Hi"}
            ]
            """
        )


def test_transcript_rejects_empty_input():
    with pytest.raises(AuditaValidationError):
        parse_transcript_json("[]")


def test_valid_glossary_parses():
    glossary = parse_glossary_yaml(
        """
        glossary:
          - name: "Lyra"
            category: npc
            summary: "Lyra is a hostile NPC."
        """
    )

    assert glossary.glossary[0].name == "Lyra"


def test_glossary_rejects_empty_entries():
    with pytest.raises(AuditaValidationError):
        parse_glossary_yaml("glossary: []")


def test_glossary_rejects_extra_fields():
    with pytest.raises(AuditaValidationError):
        parse_glossary_yaml(
            """
            glossary:
              - name: "Lyra"
                category: npc
                summary: "Lyra is a hostile NPC."
                extra: "nope"
            """
        )