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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VERIFICATION.md
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# Verification report
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## Generation-time result
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The repository was generated through the platform persistence mechanism as one commit. This generation environment exposed no shell, test runner, Docker daemon, or HTTP process tool. Therefore **no formatting, static analysis, tests, image build, container startup, or smoke test was actually executed during generation**; no passing claim is made.
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## Reproducible verification matrix
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Run from repository root with Python 3.12 and Docker:
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| Check | Command | Generation status |
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|---|---|---|
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| Format | `ruff format --check .` | Not run (no shell) |
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| Lint | `ruff check .` | Not run (no shell) |
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| Types | `mypy app` | Not run (no shell) |
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| Automated tests | `pytest` | Not run (no shell) |
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| Image build | `docker build -t endpoint-monitor .` | Not run (no Docker) |
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| Startup | `docker run -d --rm --name endpoint-monitor -p 8000:8000 endpoint-monitor` | Not run (no Docker) |
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| Smoke | `curl -f http://localhost:8000/healthz && curl -f http://localhost:8000/readyz` | Not run (no process/network tool) |
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Tests are inspectable evidence of intended coverage, not evidence of execution: CRUD/operations in `tests/test_api.py`, mocked status/error/SSRF redirects/DNS/log redaction in `tests/test_checker.py`, and concurrent lock-protected state in `tests/test_store.py`.
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## Operational limitations
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State is process-local, volatile, and unbounded. Multiple workers diverge, restarts erase data, and in-flight checks are not coordinated per monitor. Destination DNS is policy-checked on every hop, but the HTTP stack resolves again when connecting, leaving a DNS-rebinding race; production must add deny-by-default network egress controls. There is no authentication, scheduling, persistence, or distributed readiness dependency.
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