decomposer: generate deliverable files for Discover and structure the solution's functional requirements, non-functional requirements, constraints, assumptions, and open questions without selecting cloud products.; Select Google Cloud products from the confirmed requirements and produce the solution architecture, Mermaid diagram, architecture description, and Terraform infrastructure-as-code.; Validate the Terraform infrastructure and architecture artifacts without deploying resources by running formatting checks, Terraform validation, and a dry-run or plan-oriented deployment check.; Package the approved requirements, architecture, Mermaid diagram, Terraform IaC, and validation results into solution-architecture-guide.md in the gcp_solution_architecture_agent repository.; Verify that the gcp_solution_architecture_agent repository contains the packaged solution-architecture-guide.md with the approved workflow outputs.; Verify that the repository is derived from the workflow_agent template and implements the complete four-phase Google Cloud solution architecture workflow alongside the packaged guide.; Publish the verified gcp_solution_architecture_agent repository with its completed workflow implementation and solution architecture guide.; Verify that the published repository revision contains the completed workflow implementation and solution architecture guide.
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README.md
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# gcp_solution_architecture_agent
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A four-phase Google Cloud solution-architecture workflow: requirements discovery, product selection and design, pre-deployment validation, and packaging/publication. The repository is intentionally a reference implementation: Terraform is parameterized and does not provision resources during validation.
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A four-phase Google Cloud solution-architecture workflow packaged as one reviewable repository.
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## Quick start
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## Workflow
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1. **Discover** requirements without choosing products (`docs/requirements.md`).
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2. **Design** the Google Cloud architecture and Terraform (`docs/architecture.md`, `architecture.mmd`, `terraform/`).
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3. **Validate** artifacts without provisioning (`scripts/validate.sh`, `tests/`).
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4. **Package** the approved result (`solution-architecture-guide.md`).
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The repository is derived from the `workflow_agent` template and is intentionally safe to run without a cloud deployment. The Terraform plan requires credentials and a project only when a user chooses to run it.
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## Commands
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```bash
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terraform -chdir=terraform fmt -check -recursive
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terraform -chdir=terraform init -backend=false
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terraform -chdir=terraform validate
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python3 scripts/validate_artifacts.py
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python3 -m unittest discover -s tests -v
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bash scripts/validate.sh
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```
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Use `terraform.tfvars.example` as the starting point for a deployment-specific variable file. Review `solution-architecture-guide.md` before applying any plan.
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`terraform plan` is optional and must be run with an explicitly supplied project and credentials; CI only performs static validation.
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