decomposer: record implementation detail for 8 step(s)
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# Step 0 — Implementation Detail
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1. Captured the workflow request and separated functional requirements from quality attributes.
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2. Recorded platform, validation, scope, and deployment constraints.
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3. Documented assumptions and unresolved scale, identity, DR, compliance, residency, budget, and naming questions.
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4. Marked product selection deferred as true and added a testable statement in requirements-spec.md.
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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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# Step 1 — Implementation Detail
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1. Mapped HTTPS ingestion, asynchronous processing, transactional state, secrets, observability, and network isolation to managed Google Cloud products.
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2. Documented Cloud Run, Pub/Sub, Cloud SQL, Secret Manager, Artifact Registry, VPC, Serverless VPC Access, IAM, Logging, Monitoring, and Trace roles.
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3. Added the end-to-end Mermaid data-flow diagram and architecture description.
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4. Added Terraform provider configuration, enabled APIs, network connector, SQL resources, Pub/Sub resources, service account, secret, and Cloud Run services.
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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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# Step 2 — Implementation Detail
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1. Added the exact Terraform formatting, backendless initialization, validation, and no-apply plan commands to the evidence record.
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2. Recorded each check as not executed with an explicit blocker instead of inventing exit statuses or outputs.
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3. Preserved the required deploy_resources=false and deploy_enabled=false safety controls and explicitly prohibited apply/provisioning.
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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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# Step 3 — Implementation Detail
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1. Created the guide at the required repository root path.
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2. Included linked requirements and Terraform artifacts plus the selected product architecture.
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3. Included Mermaid source, validation status, limitations of the tool-only generation environment, and acceptance criteria.
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4. Included packaging, repository verification, and publication sections for downstream steps.
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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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# Step 4 — Implementation Detail
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1. Persisted solution-architecture-guide.md in the scaffold commit.
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2. Included explicit Step 4 path and delivery criteria in the guide.
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3. Added tests that assert the guide exists alongside the other required artifacts.
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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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# Step 5 — Implementation Detail
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1. Recorded the workflow template URL in the guide metadata.
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2. Documented all four workflow phases in README.md.
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3. Added artifact-structure validation for requirements, architecture, guide, and Terraform content.
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4. Added pytest assertions for required files and phase coverage.
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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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# Step 6 — Implementation Detail
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1. Committed only the validation-evidence correction through the existing-repository fix operation.
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2. Did not claim a publication revision that was not returned by the commit operation.
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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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# Step 7 — Implementation Detail
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1. Recorded the absence of a returned revision identifier and remote inspection capability.
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2. Did not claim remote content or revision verification.
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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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