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 report # Verification report
## Artifact inspection ## Generation environment
This repository contains the service contract, implementation, tests, dependency The repository was persisted through the platform scaffold/commit mechanism. The available generation tools did not include a command runner or Docker daemon, so no formatter, linter, type checker, test runner, image build, container startup, or live API smoke test could be executed. No pass result is inferred from file generation.
metadata, container packaging, and documentation in directly inspectable paths. The
checker tests use `httpx.MockTransport`; they do not make external network requests.
## Execution status for this generation ## Commands and status
The generation platform exposed repository scaffolding/commit and file-inspection | Check | Command | Generation status |
operations, but no command runner or Docker daemon. Therefore the following commands |---|---|---|
were **not executed here**, and no passing result is claimed: | Ruff lint | `ruff check .` | NOT RUN — no shell executor |
| Ruff format | `ruff format --check .` | NOT RUN — no shell executor |
| Mypy | `mypy app` | NOT RUN — no shell executor |
| Tests | `pytest` | NOT RUN — no shell executor |
| Image build | `docker build -t endpoint-monitor:verify .` | NOT RUN — no Docker/shell executor |
| Startup | `docker run ...` | NOT RUN — no Docker/shell executor |
| Smoke | request `/health/live`, create monitor, inspect status | NOT RUN — no running container |
```bash ## Inspectable static evidence
ruff format --check .
ruff check .
mypy app
pytest
docker build -t endpoint-monitor .
docker run --rm -d -p 8000:8000 --name endpoint-monitor endpoint-monitor
curl --fail http://127.0.0.1:8000/health/live
curl --fail http://127.0.0.1:8000/health/ready
docker rm -f endpoint-monitor
```
They are the required validator sequence. A validator with a Python 3.12 environment - `pyproject.toml` defines Python 3.12, runtime dependencies, Ruff, strict Mypy, and Pytest.
and Docker should execute them and record stdout, versions, and image digest. Static - `requirements.txt` and `requirements-dev.txt` contain pinned direct requirements.
review confirms each required artifact is present, but it is not a substitute for - Tests cover CRUD, health, check status/latency, timeout mapping, concurrent status updates, DNS/private-address blocking, redirect blocking, and log redaction with mocked egress.
execution. - `Dockerfile` runs as numeric non-root UID/GID 10001, starts exactly one worker, disables access logs, and has a standard-library healthcheck.
- `compose.yaml`, `.dockerignore`, and `.gitignore` are present.
- `README.md` supplies reproducible validation commands and documents ephemeral single-process limitations.
## Known operational limitations ## Required validator follow-up
State is memory-only and disappears on process exit. The lock coordinates coroutines Run the sequence in the README in a clean Python 3.12 environment with Docker. A failing command must supersede this unexecuted report. In particular, validate dependency resolution for the target platform and perform an egress-controlled security review before production use.
inside one process only. The container intentionally starts one worker; multiple
workers or replicas do not share monitors. DNS is checked on each redirect hop, while ## In-memory limitation
network egress policy remains necessary to close DNS-rebinding/TOCTOU risk fully. No
authentication, scheduler, persistence, or cross-process readiness dependency is in A restart drops every monitor and status. Multiple workers or replicas diverge because each owns a separate store. The included container therefore uses one worker; availability, persistence, and horizontal scaling require a shared durable store that is intentionally outside this service contract.
scope.