Sven laptop
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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.
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### 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
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### Alternative Short Commit Message
refactor(docs): move docs to monitoring_ui and create AI agent PROJECT_MAP.md
18 lines
2.2 KiB
Markdown
18 lines
2.2 KiB
Markdown
<!-- azure-cor-disclaimer -->
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> **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.
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# Subscription Resolution — Defensive Fallback
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The `azure-app-onboard` orchestrator resolves the subscription at Step 1 (login hard gate) and writes `subscriptionId`, `subscriptionName`, `tenantId` to `context.json.azure` before any phase runs. In normal operation, `context.json.azure.subscriptionId` is always set by the time prepare runs.
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At prepare phase entry, verify `context.json.azure.subscriptionId` is set. If it is (expected path), use it — done.
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If `context.json.azure` is somehow empty, resolve now rather than halting the flow:
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1. **Check env vars** — if `AZURE_SUBSCRIPTION_ID` is set, use it directly (with `AZURE_TENANT_ID` if set). Write `subscriptionId`, `subscriptionName`, `tenantId` to `context.json.azure`, done.
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2. **Run `az account show`** — `az account show --query "{id:id, name:name, tenantId:tenantId}" -o json`. If it succeeds, **auto-select** — write `subscriptionId`, `subscriptionName`, `tenantId` to `context.json.azure`. Do NOT run `az account list` or present a picker.
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3. **Fallback: `mcp_azure_mcp_subscription_list` + picker** — only if `az account show` fails. Call `mcp_azure_mcp_subscription_list` to retrieve all subscriptions (returns `subscriptionId`, `displayName`, `isDefault`).
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- **1 subscription** → auto-select, no question. Write `subscriptionId`, `subscriptionName`, `tenantId` to `context.json.azure`.
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- **2+ subscriptions** → present a picker via `ask_user`: list each subscription as a choice `"{displayName} ({subscriptionId})"` with the default marked. The user selects one. Write `subscriptionId`, `subscriptionName`, `tenantId` to `context.json.azure`.
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4. **MCP tool fails** → run `az login` (interactive browser login). If that fails (no browser, remote session), fall back to `az login --use-device-code`. After login succeeds, retry from step 2. Do NOT proceed without a resolved subscription.
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