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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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5.1 KiB
Markdown

<!-- 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.
# azd Template Routing
When prereq detects an existing azd template, AppOnboard routes to `azure-prepare` instead of continuing the greenfield pipeline. AppOnboard is a greenfield deployment agent — repos with existing Azure IaC belong to the prepare → validate → deploy pipeline.
## Detection
Before the scope triage question (Step 2), do a quick file-system check (workspace root + `infra/` only — never scan `.copilot-azure/`). Route if ALL of these are true:
| Condition | Where to check |
|-----------|----------------|
| `azure.yaml` exists in workspace root | File system scan |
| `*.bicep` or `*.tf` files exist in `infra/` | File system scan |
| `azure.yaml` has `services:` with at least 1 entry | Read `azure.yaml` in workspace root |
If only `azure.yaml` is present without IaC files (partial azd setup), continue AppOnboard pipeline — the repo needs IaC generated.
## Gate — presented as the scope triage question
When an azd template is detected, the scope triage question is replaced with an azd-aware version (see [intent-gathering.md § Scope triage](intent-gathering.md)). Present:
```
📦 **Existing Azure deployment setup detected**
Your repo already has:
- `azure.yaml` — Azure Developer CLI configuration
- `infra/` — {Bicep|Terraform} infrastructure templates
{list any other detected infra: Dockerfiles, CI/CD workflows}
This is a complete azd template — it already defines how to build and deploy your app.
**How would you like to proceed?**
1. **Deploy with existing setup** — I'll hand off to `azure-prepare`, which works with azd templates natively. It will analyze your IaC, plan the deployment, and walk you through `azd up`.
2. **Start fresh** — Ignore the existing IaC and build new infrastructure from scratch using AppOnboard's greenfield pipeline. Your existing files won't be modified.
3. **Just scan for readiness** — Keep the prereq results (your app is {ready|needs fixes}) and stop here.
```
## Routing protocol
**Option 1 — Deploy with existing setup:**
1. Write routing state to `context.json`:
```json
{
"routeToSkill": "azure-prepare",
"routeReason": "existing-azd-template",
"completedPhases": [],
"currentPhase": null,
"statusSummary": "Routed to azure-prepare — existing azd template detected, prereq scan skipped (not needed for existing IaC)"
}
```
2. Tell the user:
```
✅ Your app is healthy — prereq scan found no blockers.
Since your repo has a complete azd setup, I'm handing off to **azure-prepare** — it's purpose-built
for repos with existing IaC and works natively with `azd up`.
```
3. **Invoke azure-prepare directly:** Hand off to the `azure-prepare` agent, then follow its workflow using the user's original prompt from `context.json.intent.userPrompt`. This is the same pattern as prereq invocation in Step 3 — AppOnboard hands off and the agent follows its instructions. Do NOT ask the user to type a command.
4. **STOP the AppOnboard pipeline.** Do NOT continue to Step 5 (plan architecture). Do NOT generate IaC. Do NOT run `azd up` yourself. azure-prepare owns the rest of the conversation.
**Option 2 — Start fresh:**
1. Write override to `context.json.overrides[]`: `{ "key": "ignoreExistingInfra", "value": "true", "reason": "User chose greenfield over existing azd template" }`
2. If `infra/` directory exists, rename it to `infra.bak/` (single folder rename). This preserves the user's existing IaC as a backup before scaffold writes new files.
3. Continue AppOnboard pipeline from Step 5 (plan architecture).
4. Scaffold Step 3 is skipped (override exists) — the backup was already done here.
**Option 3 — Just scan:**
1. Update `context.json.statusSummary` to reflect the scan-only outcome.
2. Present prereq results summary. STOP.
## Edge cases
| Scenario | Handling |
|----------|----------|
| `azure.yaml` exists but `infra/` is empty | NOT an azd template — continue AppOnboard (repo needs IaC) |
| `azure.yaml` exists with `infra.provider: terraform` | Route same as Bicep — azure-prepare handles both |
| User chose "Start fresh" then hits scaffold guard | Scaffold guard bypassed via `ignoreExistingInfra` override |
| Prereq found blockers AND repo has azure.yaml | Present blockers first (prereq triage), then present azd gate. Blockers take priority. |
| `azure.yaml`/`infra/` looks like it might be an AppOnboard leftover | It's ours only if **any** `.copilot-azure/sessions/*/scaffold-manifest.json` `files[]` lists it (checking every session, not just the active one, catches leftovers from a prior abandoned run); otherwise treat as the user's → route → STOP. ⛔ Never decide by git commit status; never delete/overwrite — move to `.copilot-azure/sessions/<id>/replaced-files/` (mirror path). |