"""Tests for SRT processing module Tests for: - SRT parser (parse_srt, parse_srt_file) - Semantic segmenter (SemanticSegmenter) - ASR corrector (ASRCorrector) - SRTProcessor (pipeline processor) """ import pytest from pathlib import Path from dataclasses import dataclass from typing import List, Optional # ============================================================================= # Test Fixtures # ============================================================================= @pytest.fixture def sample_srt_content() -> str: """标准 SRT 格式内容""" return """1 00:00:00,000 --> 00:00:05,000 第一句字幕内容 2 00:00:05,000 --> 00:00:10,000 第二句字幕内容 3 00:00:10,000 --> 00:00:15,000 第三句字幕内容 """ @pytest.fixture def sample_srt_with_special_chars() -> str: """包含特殊字符的 SRT 内容""" return """1 00:00:00,000 --> 00:00:05,000 你好,世界!这是测试。 2 00:00:05,000 --> 00:00:10,000 包含特殊字符:<>&"' 3 00:00:10,000 --> 00:00:15,000 多行 字幕内容 """ @pytest.fixture def invalid_srt_content() -> str: """格式错误的 SRT 内容""" return "这不是有效的 SRT 格式" @pytest.fixture def empty_content() -> str: """空内容""" return "" @pytest.fixture def sample_srt_file(tmp_path: Path, sample_srt_content: str) -> Path: """创建临时 SRT 文件""" srt_file = tmp_path / "test.srt" srt_file.write_text(sample_srt_content, encoding="utf-8") return srt_file # ============================================================================= # Test 1: SRT Parser - parse_srt # ============================================================================= class TestParseSrt: """测试 SRT 解析功能""" def test_parse_standard_srt(self, sample_srt_content: str): """Test 1: 标准的 SRT 格式能被正确解析为 Segment 列表""" from kb_workflow.srt.parser import parse_srt, Segment segments = parse_srt(sample_srt_content) assert len(segments) == 3 assert all(isinstance(s, Segment) for s in segments) # 验证第一个 segment assert segments[0].id == 1 assert segments[0].start_time == 0.0 assert segments[0].end_time == 5.0 assert segments[0].text == "第一句字幕内容" # 验证最后一个 segment assert segments[2].id == 3 assert segments[2].start_time == 10.0 assert segments[2].end_time == 15.0 assert segments[2].text == "第三句字幕内容" def test_parse_srt_with_special_chars(self, sample_srt_with_special_chars: str): """Test 2: 包含特殊字符的字幕能正确处理""" from kb_workflow.srt.parser import parse_srt segments = parse_srt(sample_srt_with_special_chars) assert len(segments) == 3 assert "你好,世界!" in segments[0].text assert "<>&\"'" in segments[1].text # 多行字幕应该合并 assert "多行" in segments[2].text def test_parse_invalid_srt_raises_error(self, invalid_srt_content: str): """Test 3: 空文件或格式错误的文件抛出 ValueError""" from kb_workflow.srt.parser import parse_srt with pytest.raises(ValueError, match="Invalid SRT format"): parse_srt(invalid_srt_content) def test_parse_empty_content_raises_error(self, empty_content: str): """Test 3b: 空内容抛出 ValueError""" from kb_workflow.srt.parser import parse_srt with pytest.raises(ValueError, match="Empty SRT content"): parse_srt(empty_content) # ============================================================================= # Test 1b: SRT Parser - parse_srt_file # ============================================================================= class TestParseSrtFile: """测试从文件解析 SRT""" def test_parse_srt_file(self, sample_srt_file: Path): """从文件解析 SRT""" from kb_workflow.srt.parser import parse_srt_file segments = parse_srt_file(sample_srt_file) assert len(segments) == 3 assert segments[0].text == "第一句字幕内容" def test_parse_nonexistent_file_raises_error(self): """不存在的文件抛出 FileNotFoundError""" from kb_workflow.srt.parser import parse_srt_file with pytest.raises(FileNotFoundError): parse_srt_file(Path("/nonexistent/file.srt"))