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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@@ -1,27 +1,27 @@
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import json
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import logging
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from datetime import UTC, datetime
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from datetime import datetime, timezone
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from typing import Any
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class JsonFormatter(logging.Formatter):
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def format(self, record: logging.LogRecord) -> str:
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payload: dict[str, Any] = {
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"timestamp": datetime.now(UTC).isoformat(),
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data: dict[str, Any] = {
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"timestamp": datetime.now(timezone.utc).isoformat(),
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"level": record.levelname,
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"logger": record.name,
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"message": record.getMessage(),
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}
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for key in ("event", "monitor_id", "url", "state", "latency_ms", "status_code"):
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for key in ("event", "monitor_id", "url", "outcome", "error_code", "latency_ms"):
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value = getattr(record, key, None)
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if value is not None:
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payload[key] = value
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return json.dumps(payload, default=str)
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data[key] = value
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return json.dumps(data, separators=(",", ":"), default=str)
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def configure_logging(level: str) -> None:
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handler = logging.StreamHandler()
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handler.setFormatter(JsonFormatter())
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root = logging.getLogger()
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root.handlers = [handler]
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root.handlers[:] = [handler]
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root.setLevel(level.upper())
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