be22b763fa
- 修复重复导入/字段 - 修复异常处理 - 修复PEP8格式问题 - 添加类型注解 - 修复重复函数定义 (health_check, create_webhook_endpoint, etc) - 修复未定义名称 (SearchOperator, TenantTier, Query, Body, logger) - 修复 workflow_manager.py 的类定义重复问题 - 添加缺失的导入
417 lines
12 KiB
Python
417 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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InsightFlow Phase 7 Task 6 & 8 测试脚本
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测试高级搜索与发现、性能优化与扩展功能
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"""
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from performance_manager import (
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get_performance_manager, CacheManager,
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TaskQueue, PerformanceMonitor
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)
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from search_manager import (
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get_search_manager, FullTextSearch,
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SemanticSearch, EntityPathDiscovery,
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KnowledgeGapDetection
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)
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import os
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import sys
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import time
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# 添加 backend 到路径
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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def test_fulltext_search():
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"""测试全文搜索"""
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print("\n" + "=" * 60)
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print("测试全文搜索 (FullTextSearch)")
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print("=" * 60)
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search = FullTextSearch()
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# 测试索引创建
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print("\n1. 测试索引创建...")
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success = search.index_content(
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content_id="test_entity_1",
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content_type="entity",
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project_id="test_project",
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text="这是一个测试实体，用于验证全文搜索功能。支持关键词高亮显示。"
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)
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print(f" 索引创建: {'✓ 成功' if success else '✗ 失败'}")
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# 测试搜索
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print("\n2. 测试关键词搜索...")
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results = search.search("测试", project_id="test_project")
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print(f" 搜索结果数量: {len(results)}")
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if results:
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print(f" 第一个结果: {results[0].content[:50]}...")
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print(f" 相关分数: {results[0].score}")
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# 测试布尔搜索
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print("\n3. 测试布尔搜索...")
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results = search.search("测试 AND 全文", project_id="test_project")
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print(f" AND 搜索结果: {len(results)}")
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results = search.search("测试 OR 关键词", project_id="test_project")
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print(f" OR 搜索结果: {len(results)}")
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# 测试高亮
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print("\n4. 测试文本高亮...")
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highlighted = search.highlight_text(
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"这是一个测试实体，用于验证全文搜索功能。",
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"测试 全文"
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)
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print(f" 高亮结果: {highlighted}")
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print("\n✓ 全文搜索测试完成")
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return True
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def test_semantic_search():
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"""测试语义搜索"""
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print("\n" + "=" * 60)
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print("测试语义搜索 (SemanticSearch)")
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print("=" * 60)
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semantic = SemanticSearch()
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# 检查可用性
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print(f"\n1. 语义搜索可用性: {'✓ 可用' if semantic.is_available() else '✗ 不可用'}")
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if not semantic.is_available():
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print(" (需要安装 sentence-transformers 库)")
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return True
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# 测试 embedding 生成
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print("\n2. 测试 embedding 生成...")
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embedding = semantic.generate_embedding("这是一个测试句子")
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if embedding:
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print(f" Embedding 维度: {len(embedding)}")
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print(f" 前5个值: {embedding[:5]}")
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# 测试索引
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print("\n3. 测试语义索引...")
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success = semantic.index_embedding(
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content_id="test_content_1",
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content_type="transcript",
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project_id="test_project",
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text="这是用于语义搜索测试的文本内容。"
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)
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print(f" 索引创建: {'✓ 成功' if success else '✗ 失败'}")
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print("\n✓ 语义搜索测试完成")
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return True
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def test_entity_path_discovery():
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"""测试实体路径发现"""
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print("\n" + "=" * 60)
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print("测试实体路径发现 (EntityPathDiscovery)")
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print("=" * 60)
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discovery = EntityPathDiscovery()
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print("\n1. 测试路径发现初始化...")
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print(f" 数据库路径: {discovery.db_path}")
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print("\n2. 测试多跳关系发现...")
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# 注意：这需要在数据库中有实际数据
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print(" (需要实际实体数据才能测试)")
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print("\n✓ 实体路径发现测试完成")
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return True
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def test_knowledge_gap_detection():
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"""测试知识缺口识别"""
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print("\n" + "=" * 60)
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print("测试知识缺口识别 (KnowledgeGapDetection)")
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print("=" * 60)
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detection = KnowledgeGapDetection()
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print("\n1. 测试缺口检测初始化...")
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print(f" 数据库路径: {detection.db_path}")
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print("\n2. 测试完整性报告生成...")
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# 注意：这需要在数据库中有实际项目数据
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print(" (需要实际项目数据才能测试)")
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print("\n✓ 知识缺口识别测试完成")
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return True
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def test_cache_manager():
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"""测试缓存管理器"""
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print("\n" + "=" * 60)
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print("测试缓存管理器 (CacheManager)")
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print("=" * 60)
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cache = CacheManager()
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print(f"\n1. 缓存后端: {'Redis' if cache.use_redis else '内存 LRU'}")
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print("\n2. 测试缓存操作...")
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# 设置缓存
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cache.set("test_key_1", {"name": "测试数据", "value": 123}, ttl=60)
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print(" ✓ 设置缓存 test_key_1")
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# 获取缓存
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value = cache.get("test_key_1")
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print(f" ✓ 获取缓存: {value}")
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# 批量操作
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cache.set_many({
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"batch_key_1": "value1",
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"batch_key_2": "value2",
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"batch_key_3": "value3"
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}, ttl=60)
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print(" ✓ 批量设置缓存")
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values = cache.get_many(["batch_key_1", "batch_key_2", "batch_key_3"])
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print(f" ✓ 批量获取缓存: {len(values)} 个")
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# 删除缓存
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cache.delete("test_key_1")
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print(" ✓ 删除缓存 test_key_1")
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# 获取统计
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stats = cache.get_stats()
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print(f"\n3. 缓存统计:")
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print(f" 总请求数: {stats['total_requests']}")
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print(f" 命中数: {stats['hits']}")
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print(f" 未命中数: {stats['misses']}")
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print(f" 命中率: {stats['hit_rate']:.2%}")
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if not cache.use_redis:
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print(f" 内存使用: {stats.get('memory_size_bytes', 0)} bytes")
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print(f" 缓存条目数: {stats.get('cache_entries', 0)}")
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print("\n✓ 缓存管理器测试完成")
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return True
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def test_task_queue():
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"""测试任务队列"""
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print("\n" + "=" * 60)
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print("测试任务队列 (TaskQueue)")
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print("=" * 60)
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queue = TaskQueue()
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print(f"\n1. 任务队列可用性: {'✓ 可用' if queue.is_available() else '✗ 不可用'}")
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print(f" 后端: {'Celery' if queue.use_celery else '内存'}")
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print("\n2. 测试任务提交...")
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# 定义测试任务处理器
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def test_task_handler(payload):
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print(f" 执行任务: {payload}")
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return {"status": "success", "processed": True}
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queue.register_handler("test_task", test_task_handler)
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# 提交任务
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task_id = queue.submit(
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task_type="test_task",
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payload={"test": "data", "timestamp": time.time()}
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)
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print(f" ✓ 提交任务: {task_id}")
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# 获取任务状态
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task_info = queue.get_status(task_id)
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if task_info:
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print(f" ✓ 任务状态: {task_info.status}")
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# 获取统计
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stats = queue.get_stats()
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print(f"\n3. 任务队列统计:")
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print(f" 后端: {stats['backend']}")
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print(f" 按状态统计: {stats.get('by_status', {})}")
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print("\n✓ 任务队列测试完成")
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return True
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def test_performance_monitor():
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"""测试性能监控"""
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print("\n" + "=" * 60)
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print("测试性能监控 (PerformanceMonitor)")
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print("=" * 60)
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monitor = PerformanceMonitor()
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print("\n1. 测试指标记录...")
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# 记录一些测试指标
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for i in range(5):
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monitor.record_metric(
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metric_type="api_response",
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duration_ms=50 + i * 10,
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endpoint="/api/v1/test",
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metadata={"test": True}
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)
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for i in range(3):
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monitor.record_metric(
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metric_type="db_query",
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duration_ms=20 + i * 5,
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endpoint="SELECT test",
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metadata={"test": True}
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)
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print(" ✓ 记录了 8 个测试指标")
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# 获取统计
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print("\n2. 获取性能统计...")
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stats = monitor.get_stats(hours=1)
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print(f" 总请求数: {stats['overall']['total_requests']}")
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print(f" 平均响应时间: {stats['overall']['avg_duration_ms']} ms")
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print(f" 最大响应时间: {stats['overall']['max_duration_ms']} ms")
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print("\n3. 按类型统计:")
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for type_stat in stats.get('by_type', []):
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print(f" {type_stat['type']}: {type_stat['count']} 次, "
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f"平均 {type_stat['avg_duration_ms']} ms")
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print("\n✓ 性能监控测试完成")
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return True
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def test_search_manager():
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"""测试搜索管理器"""
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print("\n" + "=" * 60)
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print("测试搜索管理器 (SearchManager)")
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print("=" * 60)
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manager = get_search_manager()
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print("\n1. 搜索管理器初始化...")
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print(f" ✓ 搜索管理器已初始化")
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print("\n2. 获取搜索统计...")
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stats = manager.get_search_stats()
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print(f" 全文索引数: {stats['fulltext_indexed']}")
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print(f" 语义索引数: {stats['semantic_indexed']}")
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print(f" 语义搜索可用: {stats['semantic_search_available']}")
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print("\n✓ 搜索管理器测试完成")
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return True
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def test_performance_manager():
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"""测试性能管理器"""
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print("\n" + "=" * 60)
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print("测试性能管理器 (PerformanceManager)")
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print("=" * 60)
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manager = get_performance_manager()
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print("\n1. 性能管理器初始化...")
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print(f" ✓ 性能管理器已初始化")
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print("\n2. 获取系统健康状态...")
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health = manager.get_health_status()
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print(f" 缓存后端: {health['cache']['backend']}")
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print(f" 任务队列后端: {health['task_queue']['backend']}")
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print("\n3. 获取完整统计...")
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stats = manager.get_full_stats()
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print(f" 缓存统计: {stats['cache']['total_requests']} 请求")
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print(f" 任务队列统计: {stats['task_queue']}")
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print("\n✓ 性能管理器测试完成")
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return True
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def run_all_tests():
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"""运行所有测试"""
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print("\n" + "=" * 60)
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print("InsightFlow Phase 7 Task 6 & 8 测试")
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print("高级搜索与发现 + 性能优化与扩展")
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print("=" * 60)
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results = []
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# 搜索模块测试
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try:
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results.append(("全文搜索", test_fulltext_search()))
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except Exception as e:
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print(f"\n✗ 全文搜索测试失败: {e}")
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results.append(("全文搜索", False))
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try:
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results.append(("语义搜索", test_semantic_search()))
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except Exception as e:
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print(f"\n✗ 语义搜索测试失败: {e}")
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results.append(("语义搜索", False))
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try:
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results.append(("实体路径发现", test_entity_path_discovery()))
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except Exception as e:
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print(f"\n✗ 实体路径发现测试失败: {e}")
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results.append(("实体路径发现", False))
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try:
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results.append(("知识缺口识别", test_knowledge_gap_detection()))
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except Exception as e:
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print(f"\n✗ 知识缺口识别测试失败: {e}")
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results.append(("知识缺口识别", False))
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try:
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results.append(("搜索管理器", test_search_manager()))
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except Exception as e:
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print(f"\n✗ 搜索管理器测试失败: {e}")
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results.append(("搜索管理器", False))
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# 性能模块测试
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try:
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results.append(("缓存管理器", test_cache_manager()))
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except Exception as e:
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print(f"\n✗ 缓存管理器测试失败: {e}")
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results.append(("缓存管理器", False))
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try:
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results.append(("任务队列", test_task_queue()))
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except Exception as e:
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print(f"\n✗ 任务队列测试失败: {e}")
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results.append(("任务队列", False))
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try:
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results.append(("性能监控", test_performance_monitor()))
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except Exception as e:
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print(f"\n✗ 性能监控测试失败: {e}")
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results.append(("性能监控", False))
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try:
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results.append(("性能管理器", test_performance_manager()))
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except Exception as e:
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print(f"\n✗ 性能管理器测试失败: {e}")
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results.append(("性能管理器", False))
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# 打印测试汇总
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print("\n" + "=" * 60)
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print("测试汇总")
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print("=" * 60)
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passed = sum(1 for _, result in results if result)
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total = len(results)
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for name, result in results:
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status = "✓ 通过" if result else "✗ 失败"
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print(f" {status} - {name}")
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print(f"\n总计: {passed}/{total} 测试通过")
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if passed == total:
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print("\n🎉 所有测试通过！")
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else:
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print(f"\n⚠️ 有 {total - passed} 个测试失败")
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return passed == total
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if __name__ == "__main__":
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success = run_all_tests()
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sys.exit(0 if success else 1)
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