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### Summary of Changes
  1. Documentation Consolidation:
      • Relocated the docs/ folder and all repository .md files (README.md, DEPLOYMENT.md, DOCKER_README.md,
      DOMAINS_README.md, GETTING_STARTED.md, CI_CD_PORTAINER_GUIDE.md, ADMIN_DEPLOYMENT_SUMMARY.md,
      SECURITY_PRIVATE_FILES.md, handoff.md, azure-project-plan.md, plus service-specific READMEs) into .
      • Updated document links in README.md.
  2. AI Agent Project Map:
      • Created PROJECT_MAP.md in the project root containing complete architecture diagrams, service specs, ports, DB
      schemas, environment variables, and developer workflows.
      • Added PROJECT_MAP.md to .gitignore.
  3. Monitoring UI & Infrastructure Integration:
      • Added monitoring_ui service to docker-compose.yml (port 5175).
      • Configured Gitea workflow docker-build.yml for monitoring_ui builds.
      • Added CORS middleware headers in index.js.
      • Added nginx.conf copy step in Dockerfile.

  ──────
  ### Recommended Commit Message

    docs: consolidate project documentation into monitoring_ui and add agent project map

    - Move all markdown documentation files and docs/ folder into monitoring_ui/docs/
    - Update documentation hub index (monitoring_ui/docs/README.md) with relative paths
    - Generate comprehensive AI agent reference map (PROJECT_MAP.md) in repository root
    - Add PROJECT_MAP.md and monitoring_ui build output/env overrides to .gitignore
    - Integrate monitoring_ui service into docker-compose.yml and Gitea CI workflow
    - Configure CORS handling in employee_api for monitoring dashboard access
    ──────
  ### Alternative Short Commit Message

    refactor(docs): move docs to monitoring_ui and create AI agent PROJECT_MAP.md
2026-09-20 23:33:55 +02:00

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<!-- azure-cor-disclaimer -->
> **Important:** This skill provides guidance and recommended instructions to assist the AI system. Outputs are not guaranteed to be complete, correct, secure, or applicable to every scenario. Results should be reviewed and validated by a human before being applied. The AI model may choose not to follow all instructions exactly, and additional verification may be required.
# Health Check Patterns
Post-deployment health verification for AppOnboard-deployed resources.
## HTTP Endpoints
For each endpoint: HTTPS GET, 30s timeout, 3 retries (10s/20s/40s backoff).
| Status | Health | Note |
|--------|--------|------|
| 2xx | `healthy` | **Verify not a placeholder page (see below)** |
| 401/403 | `healthy` | Auth working, app running |
| 5xx ×3 | `degraded` | |
| Timeout/DNS ×3 | `unreachable` | |
> ⛔ **DB-backed apps: a 200 on `/` is NOT healthy.** When `prepare-plan.json.services[]` includes a database, probing only `/` (or any non-DB route) just proves the web server booted. Probe at least one **data-backed route** (derive from the app's detected routes, e.g. a REST resource path) and inspect the body for DB errors (`insecure transport`, `Access denied`, `connection refused`, `Unknown database`, `doesn't exist`) → mark `degraded`, not `healthy`.
### HTTP Redirect Handling (Container Apps)
> ⛔ **ACA health probes do NOT follow HTTP redirects.** A 301/302 response from the probe path causes `ActivationFailed` — the probe treats it as a failure, not a redirect.
If the first health check returns **301 or 302**:
1. Read the `Location` header: `curl -sI "https://{fqdn}{probePath}" | Select-String "^location:" -CaseSensitive:$false`
2. Update `probePath` in Bicep to the redirect target (e.g., `/wetty/` → `/wetty`)
3. Redeploy: `az deployment sub create` with updated Bicep
4. Re-check health after new revision activates
Common redirect patterns: Express trailing-slash normalization (`/app/` → `/app`), framework-level path canonicalization, HTTPS redirects on mixed-content paths.
### App Service Default Page Detection
> ⛔ **HTTP 200 ≠ app started.** Azure serves its own default page with 200 when the app fails to start — false positive.
After HTTP 200 from App Service, check first 2KB of body:
| Body contains | Meaning |
|---------------|--------|
| `"Your app service is up and running"` | Default page — app didn't start |
| `"Time to take the next step and deploy your code"` | Default page — no code or app failed |
| `"Hey, Python developers!"` / `"Hey, Node.js developers!"` | Runtime default — app didn't start |
| `"Error 503"` / `"Application Error"` | App crashed on startup |
If detected → `healthStatus: "degraded"` + warning: `"App Service default page detected — check logs: az webapp log tail -g {rg} -n {app}"`.
## Non-HTTP Resources
```bash
az resource show --ids {resourceId} --query "properties.provisioningState" -o tsv
```
`Succeeded` → `healthy`. `Failed` → `degraded`. Other → `unknown`.
| Service | Health Signal |
|---------|---------------|
| Container Apps | `latestReadyRevisionName` not empty + HTTP on ingress FQDN |
| App Service | HTTP GET `https://{name}.azurewebsites.net/` + `/health` |
| Static Web Apps | HTTP GET `https://{defaultHostname}/` → 2xx = `healthy` (hostname: `az staticwebapp show -n {swa} -g {rg} --query defaultHostname -o tsv`) |
| Azure SQL | `provisioningState` + `az sql db show` |
| Cosmos DB | `provisioningState` |
| Storage | `provisioningState` + `statusOfPrimary` |
| Functions | HTTP trigger URL + HTTP check |
> ⛔ **Container Apps — run an explicit live HTTP probe (the pipeline status is NOT sufficient).** After `latestReadyRevisionName` is set, run an observable request against the ingress FQDN and capture the result into `deploy-result.json.endpoints[].healthStatus`:
> ```powershell
> iwr "https://{ingressFqdn}/{probePath}" -UseBasicParsing # PowerShell
> curl -sSfL "https://{ingressFqdn}/{probePath}" # bash
> ```
> This live HTTP call against `*.azurecontainerapps.io` IS the health verification — do NOT infer health from the revision's internal status alone.
## Output
Write to `deploy-result.json.endpoints[]`:
```jsonc
{
"name": "api",
"url": "https://myapp-ca-dev-a1b2.azurecontainerapps.io",
"healthStatus": "healthy" // healthy | degraded | unreachable | unknown
}
```
Overall `healthStatus` = worst status across all endpoints. If any `unreachable` → overall `unreachable`.
## Functional Endpoint Verification
> ⛔ **A 200 on `/` only proves the web server booted — not that the app works.** After the HTTP check, confirm the app actually functions against the services the plan provisioned (database, cache), not just that it responds.
Health checks only confirm the web server is responding. Exercise a route that depends on the backing services — for example:
| Pattern | Functional Check |
|---------|-----------------|
| Database in the plan (MySQL/PostgreSQL/SQL/Cosmos) | Probe a route that reads/writes the DB (a detected app route, NOT `/` — root often serves a static page with no DB access, so 200 on `/` masks broken DB connectivity). A 5xx or a DB error in the body (`connection refused`, `does not exist`, token/auth failure) → `degraded` — usually the app MI wasn't granted a DB role (see [database-post-deploy.md](database-post-deploy.md) § 2). |
| `FIRST_SUPERUSER` env var or `prestart.sh`/`init_db()` | After health passes, attempt login endpoint. If 401/500 → startup scripts may have failed. Trigger `az containerapp revision restart` to re-run startup. |
| Migration frameworks (Alembic, Django, Prisma, EF) | After health passes, check `prereq-output.json` for migration signals. If found, run migrations per [database-post-deploy.md](database-post-deploy.md). |
| Two-phase Container Apps (managed identity) | Wait 60s after Phase 2 for AcrPull RBAC propagation. If the DB fails with auth/token errors, the app MI may not yet have its DB role — grant it (see [database-post-deploy.md](database-post-deploy.md)) and create a new revision. |