Sven laptop
635a130f0b
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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
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1.9 KiB
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16 lines
1.9 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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# Error Handling — Scaffold Phase
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| Error | Remediation |
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|-------|-------------|
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| `prepare-plan.json` missing | Trigger prepare backfill via `azure-app-onboard` orchestrator. Do not generate IaC without a plan. |
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| Existing Azure IaC (`.bicep`, `azure.yaml`, or `.tf` with `azurerm` provider) | ⛔ Never delete/overwrite; move to `.copilot-azure/sessions/<id>/replaced-files/` (mirror path), tell the user their original was preserved at that backup location, then scaffold. |
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| Existing non-Azure IaC (`.tf` with GCP/AWS provider) | Generate Azure TF alongside — see [terraform-patterns.md § Non-Azure IaC coexistence](terraform-patterns.md). Do NOT halt. |
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| MCP tool unavailable | Fall back to reference patterns. Flag generated IaC as "unverified against best practices." |
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| Self-review finds FLAGGED items | Include in `scaffold-manifest.json.selfReview.findings[]`. Surface at approval gate. |
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| Self-healing exhausted (3 attempts) | Pause auto-healing. Present diagnosis: (1) explain error pattern, (2) propose specific next fix, (3) ask user: "Yes, try that" / "I have a suggestion" / "Stop." If user continues, auto-heal for 5 more, then ask every 5 thereafter. If user stops, write `validationResult` with `status: "Failed"` and all errors. Do NOT proceed to deploy. |
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| Schema summary exceeds token limit | Use sub-agent pattern: compress each schema to ≤500 tokens. |
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| `context.json` malformed | Halt. Report: "Session state corrupted — consider starting a fresh session." |
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