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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2026-08-09 15:52:17 +00:00
parent 66633f95bc
commit fcf5b6979e

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from functools import lru_cache
from typing import Literal
from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
model_config = SettingsConfigDict(env_prefix="MONITOR_", extra="ignore")
request_timeout_seconds: float = Field(default=5.0, ge=0.1, le=30.0)
max_redirects: int = Field(default=5, ge=0, le=10)
max_monitors: int = Field(default=1000, ge=1, le=100_000)
log_level: Literal["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = "INFO"
@lru_cache
def get_settings() -> Settings:
return Settings()