74 lines
2.0 KiB
Python
74 lines
2.0 KiB
Python
"""
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测试 Redis 缓存是否正常工作
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"""
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import asyncio
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from app.services.metadata_cache_service import get_metadata_cache_service
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async def test_cache():
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"""测试缓存服务"""
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print("=" * 80)
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print("测试 Redis 缓存")
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print("=" * 80)
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cache_service = await get_metadata_cache_service()
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tenant_id = "szmp@ash@2026"
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# 1. 检查缓存是否存在
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print("\n📊 1. 检查缓存是否存在")
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cached = await cache_service.get_fields(tenant_id)
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if cached:
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print(f" ✅ 缓存存在，包含 {len(cached)} 个字段")
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for field in cached[:3]:
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print(f" - {field['field_key']}: {field['label']}")
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else:
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print(" ❌ 缓存不存在")
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# 2. 手动设置缓存
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print("\n📊 2. 手动设置测试缓存")
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test_fields = [
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{
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"field_key": "grade",
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"label": "年级",
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"field_type": "enum",
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"required": False,
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"options": ["三年级", "四年级", "五年级"],
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"default_value": None,
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"is_filterable": True,
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},
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{
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"field_key": "subject",
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"label": "学科",
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"field_type": "enum",
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"required": False,
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"options": ["语文", "数学", "英语"],
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"default_value": None,
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"is_filterable": True,
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},
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]
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result = await cache_service.set_fields(tenant_id, test_fields, ttl=3600)
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print(f" 设置缓存结果: {result}")
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# 3. 再次获取缓存
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print("\n📊 3. 再次获取缓存")
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cached = await cache_service.get_fields(tenant_id)
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if cached:
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print(f" ✅ 缓存存在，包含 {len(cached)} 个字段")
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else:
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print(" ❌ 缓存不存在")
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print("\n" + "=" * 80)
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print("测试完成")
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print("=" * 80)
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if __name__ == "__main__":
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asyncio.run(test_cache())
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