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咕谷酱
2025-08-22 00:08:29 +08:00
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test_ranking_serialization.py
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#!/usr/bin/env python3
"""测试排行榜缓存序列化修复"""
from __future__ import annotations
from datetime import UTC, datetime
import warnings
from app.service.ranking_cache_service import safe_json_dumps
def test_datetime_serialization():
"""测试 datetime 序列化"""
print("🧪 测试 datetime 序列化...")
test_data = {
"id": 1,
"username": "test_user",
"last_updated": datetime.now(UTC),
"join_date": datetime(2020, 1, 1, tzinfo=UTC),
"stats": {"pp": 1000.0, "accuracy": 95.5, "last_played": datetime.now(UTC)},
}
try:
# 测试自定义编码器
json_result = safe_json_dumps(test_data)
print("✅ datetime 序列化成功")
print(f" 序列化结果长度: {len(json_result)}")
# 验证可以重新解析
import json
parsed = json.loads(json_result)
assert "last_updated" in parsed
assert isinstance(parsed["last_updated"], str)
print("✅ 序列化的 JSON 可以正确解析")
except Exception as e:
print(f"❌ datetime 序列化测试失败: {e}")
import traceback
traceback.print_exc()
def test_boolean_serialization():
"""测试布尔值序列化"""
print("\n🧪 测试布尔值序列化...")
test_data = {
"user": {
"is_active": 1, # 数据库中的整数布尔值
"is_supporter": 0, # 数据库中的整数布尔值
"has_profile": True, # 正常布尔值
},
"stats": {
"is_ranked": 1, # 数据库中的整数布尔值
"verified": False, # 正常布尔值
},
}
try:
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")
json_result = safe_json_dumps(test_data)
# 检查是否有 Pydantic 序列化警告
pydantic_warnings = [
warning
for warning in w
if "PydanticSerializationUnexpectedValue" in str(warning.message)
]
if pydantic_warnings:
print(f"⚠️ 仍有 {len(pydantic_warnings)} 个布尔值序列化警告")
for warning in pydantic_warnings:
print(f" {warning.message}")
else:
print("✅ 布尔值序列化无警告")
# 验证序列化结果
import json
parsed = json.loads(json_result)
print(f"✅ 布尔值序列化成功，结果: {parsed}")
except Exception as e:
print(f"❌ 布尔值序列化测试失败: {e}")
import traceback
traceback.print_exc()
def test_complex_ranking_data():
"""测试复杂的排行榜数据序列化"""
print("\n🧪 测试复杂排行榜数据序列化...")
# 模拟排行榜数据结构
ranking_data = [
{
"id": 1,
"user": {
"id": 1,
"username": "player1",
"country_code": "US",
"is_active": 1, # 整数布尔值
"is_supporter": 0, # 整数布尔值
"join_date": datetime(2020, 1, 1, tzinfo=UTC),
"last_visit": datetime.now(UTC),
},
"statistics": {
"pp": 8000.0,
"accuracy": 98.5,
"play_count": 5000,
"is_ranked": 1, # 整数布尔值
"last_updated": datetime.now(UTC),
},
},
{
"id": 2,
"user": {
"id": 2,
"username": "player2",
"country_code": "JP",
"is_active": 1,
"is_supporter": 1,
"join_date": datetime(2019, 6, 15, tzinfo=UTC),
"last_visit": datetime.now(UTC),
},
"statistics": {
"pp": 7500.0,
"accuracy": 97.8,
"play_count": 4500,
"is_ranked": 1,
"last_updated": datetime.now(UTC),
},
},
]
try:
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")
json_result = safe_json_dumps(ranking_data)
pydantic_warnings = [
warning
for warning in w
if "PydanticSerializationUnexpectedValue" in str(warning.message)
]
if pydantic_warnings:
print(f"⚠️ 仍有 {len(pydantic_warnings)} 个序列化警告")
for warning in pydantic_warnings:
print(f" {warning.message}")
else:
print("✅ 复杂排行榜数据序列化无警告")
# 验证序列化结果
import json
parsed = json.loads(json_result)
assert len(parsed) == 2
assert parsed[0]["user"]["username"] == "player1"
print(f"✅ 复杂排行榜数据序列化成功，包含 {len(parsed)} 个条目")
except Exception as e:
print(f"❌ 复杂排行榜数据序列化测试失败: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
print("🚀 开始排行榜缓存序列化测试\n")
test_datetime_serialization()
test_boolean_serialization()
test_complex_ranking_data()
print("\n🎉 排行榜缓存序列化测试完成！")