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kb-skills/tests/conftest.py
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starmen1265 9862da7085 test(13-01): add failing tests for video type detection
- 创建 conftest.py 共享 fixtures(MockAIClient, sample_segments)
- 创建 test_semantic_engine.py 包含 8 个测试用例
  - test_video_type_detection_from_title: 测试从标题推断类型
  - test_video_type_detection_from_category: 测试从分类推断类型
  - test_video_type_fallback_to_default: 测试默认类型回退
  - test_video_type_in_prompt: 测试类型出现在 Prompt 中
  - test_prompt_format: 测试 Prompt 格式
  - test_video_segment_model: 测试 VideoSegment 模型
  - test_segmentation_result_model: 测试 SegmentationResult 模型
  - test_model_validation: 测试字段验证

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 00:23:40 +08:00

63 lines
1.8 KiB
Python

"""共享测试 fixtures 和配置"""
from typing import Optional
from unittest.mock import Mock
import pytest
class MockAIClient:
"""模拟 AI 客户端"""
def __init__(self, response: str = "Mock AI response"):
self.response = response
def generate(
self,
prompt: str,
max_tokens: int = 16000,
disable_reasoning: Optional[bool] = None
) -> str:
"""生成模拟响应"""
return self.response
@pytest.fixture
def mock_ai_client():
"""提供模拟 AI 客户端"""
return MockAIClient()
@pytest.fixture
def sample_segments():
"""提供示例字幕分段数据"""
return [
{"index": 1, "start": "00:00:00,000", "end": "00:00:05,000", "text": "大家好,欢迎来到我的频道"},
{"index": 2, "start": "00:00:05,000", "end": "00:00:10,000", "text": "今天我们要讲的是机器学习的基础知识"},
{"index": 3, "start": "00:00:10,000", "end": "00:00:15,000", "text": "首先,什么是机器学习"},
{"index": 4, "start": "00:00:15,000", "end": "00:00:20,000", "text": "机器学习是人工智能的一个分支"},
{"index": 5, "start": "00:00:20,000", "end": "00:00:25,000", "text": "它让计算机能够从数据中学习"},
]
@pytest.fixture
def sample_metadata():
"""提供示例视频元数据"""
return {
"title": "机器学习入门教程",
"category": "教育",
"tags": ["编程", "AI", "教程"],
"description": "从零开始学习机器学习"
}
@pytest.fixture
def sample_metadata_movie():
"""提供电影类型示例元数据"""
return {
"title": "星际穿越",
"category": "影视",
"tags": ["科幻", "电影"],
"description": "一部关于太空探索的科幻电影"
}