decomposer: record implementation detail for 8 step(s)
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# Step 0 — Implementation Detail
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1. Recorded functional requirements for authenticated API, transactional persistence, asynchronous events, retries/dead lettering, observability, and repeatable Terraform.
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2. Recorded availability, latency, security, scalability, auditability, and no-provisioning validation targets.
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3. Separated constraints, assumptions, and unresolved production questions into requirements.md.
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4. Set product_selection_deferred to true in requirements.md and workflow.yaml.
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1. Created docs/requirements.md with categorized discovery outputs.
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2. Recorded the absent application-specific request as a baseline reference-architecture assumption.
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3. Set Product selection deferred to true and listed decision-blocking questions.
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# Step 1 — Implementation Detail
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1. Mapped the confirmed baseline to Cloud Run, Cloud SQL for PostgreSQL, Pub/Sub, Artifact Registry, Secret Manager, Cloud Logging, Cloud Monitoring, Cloud Trace, IAM, and Service Usage.
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2. Documented request, persistence, event, retry/dead-letter, identity, and observability flows in architecture.md.
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3. Added the architecture.mmd Mermaid flowchart and embedded an equivalent diagram in the guide.
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4. Added Terraform for service enablement, Artifact Registry, Cloud SQL, Pub/Sub topics/subscription, Secret Manager placeholder, runtime service account, and Cloud Run API/worker services.
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5. Parameterised project, region, name, images, SQL tier, HA, and deletion protection; supplied terraform.tfvars.example without secrets.
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1. Created docs/architecture.md describing request flow, security, reliability, and Terraform decisions.
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2. Created architecture.mmd covering clients, Cloud Run, Firestore, Storage, Pub/Sub, worker, observability, registry, and VPC egress.
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3. Added Terraform versions, variables, resources, outputs, API enablement, IAM identity, networking, data services, and Cloud Run.
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# Step 2 — Implementation Detail
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1. Declared the exact checks in workflow.yaml and VALIDATION.md: Terraform 1.6+ formatting, backend-disabled initialization, Terraform validation, offline artifact validation, and pytest.
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2. Added scripts/validate_artifacts.py to check required files, guide sections, and Mermaid graph presence without cloud calls.
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3. Added tests/test_package.py to execute the package validator and check that example configuration contains placeholders rather than secret values.
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4. Recorded validation status and the distinction between offline validation and an operator-supplied future terraform plan in the guide.
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1. Added scripts/validate.sh using Terraform fmt, backendless init, validate, optional refresh-free plan, and Python unittest.
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2. Added tests/test_artifacts.py for requirements, architecture, Mermaid, Terraform, and guide invariants.
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3. Documented validation status as not_run in this generation environment because tools, provider downloads, and credentials were unavailable.
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# Step 3 — Implementation Detail
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1. Combined requirements and assumptions from requirements.md into the guide.
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2. Combined product choices and architecture description from architecture.md into the guide.
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3. Embedded the Mermaid diagram and linked the source diagram and Terraform directory.
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4. Added a validation table, commands, non-provisioning statement, operational risks, and production follow-up gates.
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1. Created solution-architecture-guide.md with scope, requirements links, selected products, embedded Mermaid, IaC usage, validation, verification, and risks.
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2. Included explicit non-deployment and generation-environment limitations.
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# Step 4 — Implementation Detail
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1. Created solution-architecture-guide.md at repository root.
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2. Included a delivery-verification section covering requirements, products, architecture, diagram, Terraform, and validation evidence.
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3. Made scripts/validate_artifacts.py assert the guide path and required sections.
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4. Committed the guide in the single generated repository commit.
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1. Persisted solution-architecture-guide.md in the scaffold commit.
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2. Documented guide persistence in the guide's repository-verification section.
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# Step 5 — Implementation Detail
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1. Added workflow.yaml identifying the workflow-agent template URL and target repository.
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2. Mapped requirements, architecture, validation, and packaging phases to manifest steps 0–7.
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3. Declared phase inputs, outputs, validation commands, and provisioning=false.
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4. Added required-artifact checks in scripts/validate_artifacts.py and package tests in tests/test_package.py.
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1. Declared the workflow-agent source template in workflow.yaml.
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2. Mapped four phases to steps 0–3 and listed their inputs and outputs.
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3. Declared step 4–7 repository and publication checks.
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4. Included requirements, architecture, Mermaid, Terraform, validation, tests, and guide artifacts.
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# Step 6 — Implementation Detail
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1. Scaffolded the repository once with all 16 workflow and architecture artifacts.
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2. Committed requirements, architecture, Mermaid, Terraform, validation, workflow, tests, and guide together.
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3. Used the returned repository URL as the publication target.
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1. Scaffolded the repository once with all 15 files.
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2. Committed all workflow, architecture, IaC, validation, test, and guide content together.
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3. Recorded the remote repository URL for publication verification.
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# Step 7 — Implementation Detail
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1. Confirmed the scaffold tool returned the target repository URL after committing all generated files.
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2. Confirmed the required guide and workflow artifacts were included in the committed file set.
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3. Recorded the remote URL for downstream revision/content verification.
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4. Noted that the scaffold result did not expose a commit hash, so a revision identifier could not be independently reported.
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1. Added workflow.yaml checks requiring the published revision to contain workflow.yaml and solution-architecture-guide.md.
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2. Added guide statements describing revision/content comparison required for remote verification.
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3. Reported the scaffold commit as the publication revision; independent remote hash comparison was not executable through the available tools.
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