Alibabacloud Migrate

Migrate cloud resources from AWS/Azure to Alibaba Cloud. Use when users want to "move to Alibaba Cloud", ask what Alibaba Cloud services replace their AWS/Azure setup, or need ready-to-deploy Alibaba Cloud Terraform code. Outputs: migration assessment report, modular Terraform code, step-by-step migration guide. Code generation only — no deployment, data migration, or DNS cutover.

Cloud Migration to Alibaba Cloud

Supported sources: AWS (Terraform/natural language), Azure (Terraform/natural language)
Output: Terraform only (modular, production-ready), migration assessment report, step-by-step migration guide
Not covered: CloudFormation/ARM templates, runtime configuration

Output Structure

The migration process generates a complete .migration-report/ directory with all deliverables:

text

.migration-report/
├── migration-state.json          # Migration progress tracker (for resuming work)
├── input-resources.json          # Parsed source infrastructure (from Phase 1)
├── assessment-report.md          # Comprehensive migration analysis
├── migration-guide.md            # Step-by-step guide with verification & scripts
└── terraform/                    # Production-ready Terraform code
    ├── main.tf
    ├── variables.tf
    ├── outputs.tf
    ├── versions.tf
    ├── terraform.tfvars.example
    ├── README.md
    └── modules/                  # Reusable modules (dynamically generated)
        └── <module_name>/
            ├── main.tf
            ├── variables.tf
            ├── outputs.tf
            └── versions.tf

Note: Modules are dynamically generated based on actual resources (e.g., network, compute, storage, database).

Migration State Tracking

The migration-state.json file tracks progress through each phase:

json

{
  "migration_id": "migration-20240320-1234",
  "started_at": "2024-03-20T10:00:00Z",
  "updated_at": "2024-03-20T10:30:00Z",
  "source_platform": "aws",
  "current_phase": "phase2-resource-mapping",
  "completed_phases": [
    {
      "phase": "phase1-discovery-and-analysis",
      "completed_at": "2024-03-20T10:15:00Z"
    }
  ],
  "source_files": ["terraform/main.tf", "terraform/variables.tf"],
  "resource_count": 45,
  "resource_summary": { "compute": 12, "networking": 18, "storage": 8, "database": 5, "other": 2 },
  "user_confirmations": []
}

Purpose: Resume interrupted migrations. Always check this file first to continue from the last completed phase. Phase 3 includes approval_status field (values: approved | rejected | pending). Phase 4 includes validation_status field (values: passed | skipped | failed).

Migration Phases

⚠️ CRITICAL: Phases MUST be executed in sequential order. Each phase depends on the previous phase's output. Never skip or reorder phases.

Pre-approval flag: During Phase 1, detect whether the initial user prompt contains a pre-approval signal such as "直接生成不需要确认", "不用审批", "auto-approve", or "skip approval". Record this intent in migration-state.json.user_confirmations. This skips only the Phase 3 approval wait; Phase 3 must still generate assessment-report.md and set approval_status: "approved" before Phase 4.

Phase	Input → Output	Reference
1. Discovery	Terraform files OR natural language description → input-resources.json	discovery-and-analysis.md
2. Mapping	input-resources.json → alibabacloud-mapped-resources.json	resource-mapping.md
3. Assessment & Approval	Mapped resources → assessment-report.md + User approval required	assessment-report.md
4. Terraform	Mapped resources + approval → terraform/ directory ⚠️ CRITICAL: Code MUST be generated in .migration-report/terraform/ ⚠️ CRITICAL: MUST run terraform validate, or record validation_status: "skipped" when Terraform CLI/provider download is unavailable	code-migration.md
5. Migration Guide	Assessment + Terraform → migration-guide.md	migration-guide.md

Phase 1 Discovery & Output Contract

Files first. Natural language description mode is allowed only after the user explicitly confirms it. Output: .migration-report/input-resources.json (missing any required field = Phase 1 incomplete).

File discovery strategy: Scan the workspace for .tf files using glob or directory listing. Check the user's prompt for path hints. If no .tf files are found after scanning, STOP Phase 1 immediately and output: "未找到源 Terraform 文件，请提供准确路径或确认是否使用自然语言描述模式". NEVER set input_mode to description or continue generating input-resources.json without explicit user confirmation.

Level	Required Fields	Constraints
Top-level	source_platform, source_regions, input_mode, resources	input_mode ∈ {files, description, hybrid}; files → from_hcl/from_state, description → from_description, hybrid → per-resource
Each resource	id, type, category, region, discovery_method, source_file, properties, dependencies	discovery_method ∈ {from_hcl, from_state, from_description, inferred}; dependencies is array, IDs must exist in resources or start with module.; data source id starts with data.; preserve original count/for_each structure instead of expanding it unless .tfstate contains concrete instances
If backend exists	state_backend	Contains source_type, source_config, target_type, target_config
If variables are referenced	variables	Record referenced variables. Unresolved values stay as var.<name>; propagate sensitive = true only when declared by source.

Phase 3: User Approval Gate

🚨 HARD BLOCK — cannot be bypassed:

1. Generate assessment-report.md
2. STOP and output a summary with an explicit approval question (see assessment-report.md for format)
3. DO NOT write approval_status: "approved" to migration-state.json yourself. Only the user's explicit reply counts.
4. Phase 4 must verify migration-state.json has approval_status: "approved" before starting. If missing or "pending", refuse and re-prompt.

⚠️ Exception — User pre-approval in initial prompt:

If the user's initial migration request contains pre-approval signals (explicit phrases like "直接生成不需要确认", "直接帮我生成不需要再问我确认", "auto-approve", "skip approval", or any equivalent instruction to bypass the approval gate), the Agent MUST:

1. Detect this intent during Phase 1 or before Phase 3
2. Still generate assessment-report.md in Phase 3 — skip only the approval wait, not the assessment artifact
3. Write approval_status: "approved" and current_phase: "phase3-approved" to migration-state.json with a record:

   json

   "user_confirmations": [
     {
       "source": "initial_prompt",
       "intent": "pre-approved",
       "confirmed_at": "<timestamp>"
     }
   ]
   

4. Mark in the output: "📊 Assessment complete — automatically proceeding per your pre-approval."
5. Proceed directly to Phase 4

Rationale: The approval gate exists to prevent unintended code generation. When the user explicitly opts out in their first message, respecting that intent is the correct behavior. The assessment report is still generated for audit and Phase 5 reference.

Violation: Proceeding without real user approval OR without detected pre-approval invalidates the migration.

Phase 4 Special Requirements

🚨 CANNOT SKIP: Read references/workflows/code-migration.md; Phase 4 is NOT complete until these checks pass:

1. Entry gate — Phase 1-3 artifacts exist and .migration-report/migration-state.json has approval_status: "approved".
2. Resource gate — Resource types come from references/mappings/ and are checked against references/mappings/alicloud-provider-deprecations.md plus the provider catalog/public deprecation source when available.
3. Output contract — Terraform files are under .migration-report/terraform/, preserve source layout, and include main.tf, variables.tf, outputs.tf, and versions.tf.
4. Provider contract — versions.tf contains:

   hcl

   configuration_source = "AlibabaCloud-Agent-Skills/alibabacloud-migrate"
   

   variables.tf declares variable "region" { default = "<target_region>" }; provider and resources use var.region.
5. Generation contract — Required OSS backend, source trace comments, unresolved variables, and credential hygiene follow the Phase 4 workflow.
6. Post-generation checks — Generated artifacts contain no deprecated/wrong resources, invalid topology, undeclared variables, placeholders, or inline credentials.
7. Validation — Run terraform init && terraform validate in .migration-report/terraform/; must return Success!
   • Environment unavailable: If terraform is not installed, provider download times out, or registry/network access is unavailable, mark validation_status: "skipped" in migration-state.json, write the reason, and continue to Phase 5. NEVER mark as "passed" without actually running validate.
   • On pass or environment-unavailable skip, update migration-state.json; on validation failure, fix and re-run before Phase 5.

Phase 5 Validation Status Handling

Phase 5 may run when Phase 4 has validation_status: "passed" or "skipped".

• If "passed": write normal deployment steps.
• If "skipped": generate migration-guide.md and include a visible validation note: Terraform validation: SKIPPED (<reason from migration-state.json>). The guide must tell the user to run terraform init -backend=false && terraform validate before deployment.
• If "failed" or missing: return to Phase 4 and fix validation first.

Execution Rules

For each phase:

1. Check migration-state.json to resume from last completed phase
2. Read the phase-specific reference document
3. Verify all prerequisite files exist
4. Execute phase following reference doc step-by-step
5. Update migration-state.json with completion status
6. Verify no placeholders (TODO/FIXME/TBD) before proceeding

⚠️ Stop on any error - ask user for guidance before continuing.

References

All references are linked inline throughout this document. Key directories:

• references/workflows/ — Per-phase workflow documents (discovery → mapping → assessment → terraform → guide)
• references/mappings/ — Service mapping documents (AWS/Azure → Alibaba Cloud)