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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README.md
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README.md
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# Endpoint Monitor Service
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# Endpoint Monitor
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A typed FastAPI service for process-local monitor CRUD and secure, on-demand HTTP
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checks. The full contract and status semantics are in
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[`docs/service-contract.md`](docs/service-contract.md).
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A typed FastAPI service that stores endpoint monitors in process-local memory and performs secure, on-demand HTTP checks.
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## Run locally
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## Quick start
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```bash
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Requires Python 3.12.
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```sh
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python -m venv .venv
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. .venv/bin/activate
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pip install -e '.[dev]'
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uvicorn app.main:app --reload
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make check
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uvicorn app.main:app --reload --workers 1
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```
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Create and check a monitor:
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```bash
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curl -sS -X POST http://localhost:8000/monitors \
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```sh
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curl -sS -X POST http://localhost:8000/v1/monitors \
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-H 'content-type: application/json' \
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-d '{"name":"example","url":"https://example.com/health?token=secret"}'
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curl -sS -X POST http://localhost:8000/monitors/MONITOR_UUID/check
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curl -sS http://localhost:8000/monitors/MONITOR_UUID/status
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curl -sS http://localhost:8000/health/ready
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-d '{"name":"example","url":"https://example.com/health?token=do-not-log"}'
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curl -sS -X POST http://localhost:8000/v1/monitors/MONITOR_UUID/checks
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curl -sS http://localhost:8000/v1/monitors/MONITOR_UUID/status
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```
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OpenAPI is at `/docs`. There is intentionally no authentication.
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Interactive OpenAPI documentation is at `/docs`. The full route/status/error contract and SSRF model are in [docs/service-design.md](docs/service-design.md).
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## Configuration
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All settings are validated at startup and use the `MONITOR_` prefix:
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All values are startup-validated and use environment prefix `MONITOR_`:
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| Variable | Default | Constraint |
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|---|---:|---|
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| `MONITOR_APP_NAME` | endpoint-monitor | string |
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| `MONITOR_LOG_LEVEL` | INFO | logging level |
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| `MONITOR_CONNECT_TIMEOUT_SECONDS` | 2 | >0, <=30 |
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| `MONITOR_CHECK_TIMEOUT_SECONDS` | 5 | >0, <=60 |
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| `MONITOR_MAX_REDIRECTS` | 3 | 0..10 |
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| `MONITOR_CHECK_TIMEOUT_SECONDS` | 5 | >0, <=30 |
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| `MONITOR_MAX_REDIRECTS` | 5 | 0–10 |
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| `MONITOR_MAX_RESPONSE_BYTES` | 1000000 | 1–10000000 |
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## Quality checks
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Checks resolve every hop and block any hostname with a non-public answer. Redirects are manual and bounded; total elapsed timeout and response size are bounded. Query and fragment data and URL credentials are redacted from structured logs. URL credentials are rejected. Application checks cannot create a perfect DNS-rebinding boundary; use deny-by-default egress networking or a hardened outbound proxy in sensitive deployments.
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```bash
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ruff format --check .
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ruff check .
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mypy app
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pytest
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## Tests and quality
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```sh
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make lint # Ruff formatting check and lint
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make type # strict mypy
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make test # pytest API/unit suite
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make check # all three
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```
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Outbound HTTP is mocked in tests. Security cases cover private DNS answers, redirects
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to loopback, bounded errors, compare-and-set status publication, and query redaction.
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Tests are directly inspectable under `tests/`: CRUD/operations and API mapping (`test_api.py`), lock concurrency and stale compare-and-set updates (`test_store.py`), timeouts/statuses/DNS and redirect SSRF/log redaction (`test_checker.py`), and environment validation (`test_config.py`). Outbound requests use `httpx.MockTransport`; tests do not access the network.
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## Container
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```bash
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docker build -t endpoint-monitor .
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docker run --rm -p 8000:8000 endpoint-monitor
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# or: docker compose up --build
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```sh
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docker build -t endpoint-monitor:local .
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docker run --rm -p 8000:8000 endpoint-monitor:local
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# or
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docker compose up --build
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```
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The image runs as a non-root user and deliberately uses one worker. A restart loses
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all monitors. Running multiple workers/replicas creates independent datasets and
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inconsistent reads; use a shared durable store before scaling. DNS preflight is not a
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replacement for network-level egress controls against rebinding.
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The image runs as a non-root user, has a liveness healthcheck, and deliberately starts one Uvicorn worker.
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## Project layout
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## Layout
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- `app/`: API, settings, locked store, checker, SSRF policy, JSON logging
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- `tests/`: API, checker, store, configuration, and security tests
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- `docs/service-contract.md`: routes, semantics, lifecycle, and threat boundaries
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- `VERIFICATION.md`: exact validation commands and execution status
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```text
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app/ service implementation
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checker.py bounded checks, DNS/redirect SSRF policy
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config.py validated environment settings
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logging.py structured JSON and URL redaction
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main.py FastAPI routes and lifecycle
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models.py API schemas and status semantics
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store.py lock-protected in-memory state and CAS updates
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tests/ mocked unit and API tests
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docs/service-design.md contract and architecture
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docs/verification.md execution record and reproducible commands
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Dockerfile, compose.yaml, pyproject.toml, Makefile
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```
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## Important limitations
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All monitors disappear on restart. State is not shared between processes, hosts, or Uvicorn workers, so run exactly one worker. There is no authentication; place the service behind an authenticated gateway if exposed. For durable or horizontally scaled use, replace `MonitorStore` with a transactional shared datastore and coordinate check ownership.
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