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 15:54:51 +00:00
parent e6adb2548d
commit 16d6b7e7ce

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@@ -1 +1,18 @@
"""Typed settings.""" from functools import lru_cache
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, gt=0, le=30)
max_redirects: int = Field(default=5, ge=0, le=10)
max_monitors: int = Field(default=1000, gt=0, le=100_000)
log_level: str = Field(default="INFO", pattern="^(DEBUG|INFO|WARNING|ERROR|CRITICAL)$")
@lru_cache
def get_settings() -> Settings:
return Settings()