76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
"""配置加载测试"""
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import os
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from pathlib import Path
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class TestConfig:
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"""配置加载测试"""
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def test_all_required_env_vars_are_documented(self):
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"""所有必需的环境变量都应在.env.example中"""
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# 读取.env.example
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env_example_path = Path(__file__).parent.parent.parent / ".env.example"
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assert env_example_path.exists(), ".env.example文件不存在"
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content = env_example_path.read_text()
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# 检查以下变量是否存在
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required_vars = [
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"MOONSHOT_API_KEY", # Kimi
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"BAIDU_QIANFAN_API_KEY", # 文心
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"DOUBAO_API_KEY", # 豆包
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"DEEPSEEK_API_KEY",
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"OPENAI_API_KEY",
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"REDIS_URL",
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"DATABASE_URL",
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"JWT_SECRET",
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]
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for var in required_vars:
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assert var in content, f".env.example中缺少必需的环境变量: {var}"
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def test_env_var_loading_without_errors(self):
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"""环境变量加载应无错误"""
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# 设置测试环境变量
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os.environ["JWT_SECRET"] = "test-secret-key-that-is-long-enough-for-validation"
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os.environ["ENABLE_LLM"] = "false"
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# 重新加载配置模块
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import importlib
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import app.config as config_module
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importlib.reload(config_module)
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from app.config import settings
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assert settings is not None
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assert settings.JWT_SECRET == "test-secret-key-that-is-long-enough-for-validation"
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def test_llm_providers_have_factory(self):
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"""LLM提供商应有工厂函数"""
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# 设置测试用 API keys
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os.environ["OPENAI_API_KEY"] = "test-openai-key"
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os.environ["DEEPSEEK_API_KEY"] = "test-deepseek-key"
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from app.services.llm.factory import LLMFactory
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# 验证已注册的提供商
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providers = ["openai", "deepseek"]
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registered = LLMFactory.list_providers()
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for p in providers:
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assert p in registered, f"Provider {p} 未注册"
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# 验证能创建提供商实例
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for p in providers:
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provider = LLMFactory.create(provider=p)
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assert provider is not None
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assert provider.provider_name == p
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def test_rate_limiter_config_exists(self):
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"""限流器配置应存在"""
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from app.services.llm.rate_limiter import TokenBucketRateLimiter
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limiter = TokenBucketRateLimiter(max_rpm=30.0)
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assert limiter is not None
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assert limiter.max_rpm == 30.0
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