decomposer: generate deliverable files for Define the service contract and project architecture for the FastAPI endpoint monitoring service.; Implement the typed monitor CRUD API and concurrency-safe in-memory state according to the service design.; Implement secure on-demand endpoint checks with status updates, latency measurement, robust error handling, and redacted structured logs.; Add operational API endpoints and environment-driven runtime configuration to the monitoring service.; Create automated tests for the monitoring service.; Package the service with Docker and developer documentation.; Validate the complete project.
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src/monitor_service/config.py
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src/monitor_service/config.py
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from functools import lru_cache
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from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(env_prefix="MONITOR_", extra="ignore")
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app_name: str = "endpoint-monitor"
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log_level: str = "INFO"
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connect_timeout_seconds: float = Field(default=3.0, gt=0, le=30)
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read_timeout_seconds: float = Field(default=5.0, gt=0, le=60)
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pool_timeout_seconds: float = Field(default=3.0, gt=0, le=30)
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max_redirects: int = Field(default=5, ge=0, le=10)
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user_agent: str = "endpoint-monitor/1.0"
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@lru_cache
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def get_settings() -> Settings:
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return Settings()
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