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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# gcp_solution_architecture_agent
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.
A four-phase Google Cloud solution-architecture workflow packaged as one reviewable repository.
## Quick start
## Workflow
1. **Discover** requirements without choosing products (`docs/requirements.md`).
2. **Design** the Google Cloud architecture and Terraform (`docs/architecture.md`, `architecture.mmd`, `terraform/`).
3. **Validate** artifacts without provisioning (`scripts/validate.sh`, `tests/`).
4. **Package** the approved result (`solution-architecture-guide.md`).
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.
## Commands
```bash
terraform -chdir=terraform fmt -check -recursive
terraform -chdir=terraform init -backend=false
terraform -chdir=terraform validate
python3 scripts/validate_artifacts.py
python3 -m unittest discover -s tests -v
bash scripts/validate.sh
```
Use `terraform.tfvars.example` as the starting point for a deployment-specific variable file. Review `solution-architecture-guide.md` before applying any plan.
`terraform plan` is optional and must be run with an explicitly supplied project and credentials; CI only performs static validation.

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flowchart LR
C[Client] -->|HTTPS + auth| API[Cloud Run API]
API --> DB[(Cloud SQL PostgreSQL)]
API --> BUS[Pub/Sub events]
BUS --> W[Cloud Run worker]
W --> DB
BUS -. exhausted retries .-> DLQ[Pub/Sub dead-letter topic]
API --> LOG[Cloud Logging/Monitoring/Trace]
W --> LOG
AR[Artifact Registry] -. images .-> API
AR -. images .-> W
SM[Secret Manager] -. references .-> API
SM -. references .-> W
C[External clients] -->|HTTPS| R[Cloud Run service]
R --> F[(Firestore)]
R --> S[(Cloud Storage)]
R --> P[Pub/Sub topic]
P --> W[Worker subscriber]
P --> DLQ[Dead-letter topic]
R --> L[Cloud Logging]
R --> M[Cloud Monitoring]
AR[Artifact Registry] --> R
R -. private egress .-> VPC[VPC / Serverless VPC Access]

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# Steps 12 — Architecture and validation
## Selected products
- Cloud Run: managed HTTPS, stateless container runtime.
- Pub/Sub: durable asynchronous event transport.
- Cloud Storage: object persistence.
- Firestore: document/application state persistence.
- VPC and Serverless VPC Access: controlled private egress foundation.
- Cloud Logging and Cloud Monitoring: operational telemetry.
- Artifact Registry: container image source.
- IAM and Service Usage: identities and API enablement.
## Request flow
Clients call Cloud Run over HTTPS. The service writes application state to Firestore, stores binary objects in Cloud Storage, and publishes domain events to Pub/Sub. A separately deployed worker can subscribe to the topic; this baseline creates the topic and dead-letter topic but intentionally does not invent worker application code. Logs and platform metrics feed the operational plane.
## Security and reliability
Cloud Run uses a dedicated service account and configurable ingress. Firestore and Storage use managed encryption. Pub/Sub dead-lettering limits poison-message impact. Runtime configuration is supplied as variables rather than secrets in source. Production hardening should add Secret Manager, customer-managed keys, edge protection, private ingress, backups, and multi-region DR if the open questions require them.
## Terraform notes
The `terraform/` directory is a module-like root configuration. It enables required APIs, creates the network, storage bucket, Firestore database, Pub/Sub topics, Artifact Registry repository, service account, and Cloud Run service. Supply `project_id`, `region`, and `container_image`; do not commit a state backend or credentials. The Cloud Run resource is a deployable placeholder whose image must already exist.
## Validation result
Static artifact tests check required sections, Mermaid markers, Terraform file presence, and absence of obvious credential material. Terraform formatting/validation and an optional plan are defined in `scripts/validate.sh`; they are not executed by repository generation because this environment has no filesystem or cloud credentials. No resources are provisioned by the workflow.

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# Step 0 — Requirements discovery
## Workflow request
No application-specific workflow request was supplied. This baseline therefore documents an event-driven HTTP application reference architecture and marks all product choices as deferred during discovery.
## Functional requirements
- Accept authenticated HTTPS requests from external clients.
- Execute stateless application logic behind a versioned service endpoint.
- Publish asynchronous domain events from the application.
- Process events independently and tolerate retry/redelivery.
- Persist durable objects and application state separately.
- Expose operational logs, metrics, and audit-relevant events.
- Support repeatable infrastructure changes through declarative IaC.
## Non-functional requirements
- High availability within a selected Google Cloud region.
- Horizontal scale for bursty HTTP traffic and asynchronous work.
- At-least-once event delivery with idempotent consumers.
- Encryption in transit and at rest using managed defaults initially.
- Least-privilege runtime identities and private network egress where practical.
- Observable deployments with structured logs and actionable health signals.
- Reproducible, reviewable, non-deployment validation in CI.
## Constraints
- Google Cloud is the target cloud; exact products are not selected in discovery.
- Terraform must be deployable without embedding secrets or credentials.
- The baseline must not provision resources during validation.
- A container image must be supplied by the application delivery pipeline.
- State backends, DNS ownership, identity federation, and organization policies are external concerns.
## Assumptions
- A single region is acceptable for the initial deployment.
- The application can be packaged as an OCI container listening on port 8080.
- Events can use at-least-once semantics and consumers can deduplicate.
- A dedicated Google Cloud project is available.
- Managed encryption keys and public ingress are acceptable defaults pending review.
## Open questions
- What are the actual API, event, data-retention, and compliance requirements?
- Which clients and identity provider must authenticate requests?
- What are traffic, payload-size, latency, RTO, and RPO targets?
- Which data is relational, document, object, or analytical?
- Should ingress be public, private, or protected by an enterprise edge?
- Are customer-managed keys, VPC Service Controls, or regional DR required?
- What image registry, CI identity, environment promotion, and rollback policy apply?
- What budget, quota, naming, tagging, and organization-policy constraints apply?
**Product selection deferred:** `true` for this phase.

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#!/usr/bin/env bash
set -euo pipefail
command -v terraform >/dev/null || { echo "Terraform 1.6.x is required" >&2; exit 1; }
terraform -chdir=terraform fmt -check -diff
terraform -chdir=terraform init -backend=false -input=false
terraform -chdir=terraform validate
if [[ -z "${TF_VAR_project_id:-}" || -z "${TF_VAR_invoker_service_account:-}" ]]; then
echo "Set TF_VAR_project_id and TF_VAR_invoker_service_account for plan check" >&2
exit 2
root="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
command -v terraform >/dev/null || { echo 'terraform is required'; exit 2; }
terraform -chdir="$root/terraform" fmt -check -recursive
terraform -chdir="$root/terraform" init -backend=false -input=false -no-color >/dev/null
terraform -chdir="$root/terraform" validate -no-color
if [[ "${RUN_PLAN:-false}" == "true" ]]; then
: "${TF_VAR_project_id:?Set TF_VAR_project_id for plan}"
terraform -chdir="$root/terraform" plan -refresh=false -lock=false -input=false -no-color
fi
terraform -chdir=terraform plan -refresh=false -input=false -lock=false -out=/tmp/gcp-solution.tfplan >/tmp/gcp-solution.plan
cat /tmp/gcp-solution.plan
python3 -m unittest discover -s "$root/tests" -v

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@@ -1,69 +1,49 @@
# Google Cloud Solution Architecture Guide
# Google Cloud solution architecture guide
**Repository:** `gcp_solution_architecture_agent`
**Template:** `https://github.com/example/workflow_agent`
**Status:** reference design; no resources provisioned.
## Scope and status
This guide packages manifest steps 0 through 7 for `gcp_solution_architecture_agent`, derived from the workflow-agent template. It is a reference baseline because no application-specific workflow request was supplied. Product selection was deferred during discovery and then made explicitly from the documented assumptions.
## 1. Approved requirements (Step 0)
## Requirements
See [`docs/requirements.md`](docs/requirements.md). It contains functional requirements, non-functional requirements, constraints, assumptions, and open questions. The principal unresolved items are identity, scale/SLOs, data model, edge exposure, compliance, DR, and delivery governance.
### Functional requirements
- Authenticated HTTPS stateless API.
- Transactional application persistence and indexed queries.
- Asynchronous domain events with retries and dead-letter handling.
- Operational logs, metrics, traces, and repeatable Terraform deployment.
### Non-functional requirements
- Managed horizontal scaling; 99.9% availability target; p95 normal reads under 500 ms.
- Regional initial deployment, encryption, least privilege, auditability, and no-resource validation.
### Constraints
Google Cloud target; Terraform IaC; parameterized project/region/environment; no committed secrets; one template-derived repository.
### Assumptions and open questions
See `requirements.md`. Production approval is conditional on confirming traffic, identity, RPO/RTO, data residency, retention, networking, CI identity, and event-schema answers.
Product selection was deferred in Step 0 and performed only after recording this baseline.
## 2. Product selection and architecture (Step 1)
Selected products are Cloud Run (API and worker), Cloud SQL for PostgreSQL, Pub/Sub, Artifact Registry, Secret Manager, Cloud Logging, Cloud Monitoring, Cloud Trace, IAM, and Service Usage. Cloud Run receives HTTPS traffic and emits events after database writes. Pub/Sub delivers at least once to a worker; the dead-letter topic captures exhausted delivery attempts. Cloud SQL is the system of record. Artifact Registry stores immutable image references. Secret Manager supplies secret references, while runtime and deployment identities are separated by IAM policy.
### Mermaid diagram
## Selected products
Cloud Run, Pub/Sub, Cloud Storage, Firestore, VPC, Serverless VPC Access, Cloud Logging, Cloud Monitoring, Artifact Registry, IAM, and Service Usage.
## Architecture
```mermaid
flowchart LR
C[Client] -->|HTTPS + auth| API[Cloud Run API]
API --> DB[(Cloud SQL PostgreSQL)]
API --> BUS[Pub/Sub events]
BUS --> W[Cloud Run worker]
W --> DB
BUS -. exhausted retries .-> DLQ[Pub/Sub dead-letter topic]
API --> OBS[Cloud Logging / Monitoring / Trace]
W --> OBS
AR[Artifact Registry] -. immutable images .-> API
SM[Secret Manager] -. secret reference .-> API
C[External clients] -->|HTTPS| R[Cloud Run service]
R --> F[(Firestore)]
R --> S[(Cloud Storage)]
R --> P[Pub/Sub topic]
P --> W[Worker subscriber]
P --> DLQ[Dead-letter topic]
R --> L[Cloud Logging]
R --> M[Cloud Monitoring]
AR[Artifact Registry] --> R
R -. private egress .-> VPC[VPC / Serverless VPC Access]
```
The full source is in `architecture.mmd`; Terraform is in `terraform/`. Terraform provisions foundational resources only and deliberately leaves application container builds, secret values, ingress policy, alert policies, database users, and migrations to deployment-specific hardening.
Clients use the HTTPS service. The service persists structured state and objects, emits events, and relies on a separate idempotent worker for asynchronous processing. The runtime has a dedicated identity, controlled egress, and managed encryption defaults. Public invocation is a deliberate baseline pending the ingress and identity answers in the open questions.
## 3. Validation (Step 2)
## Infrastructure as code
The deployable Terraform root is in [`terraform/`](terraform/). It enables APIs, creates a custom VPC/subnet and serverless connector, runtime service account, uniformly private object bucket, Firestore database, event/dead-letter topics, Artifact Registry repository, and Cloud Run service. Variables keep project, region, image, and labels configurable. No credentials or backend state are committed.
Validation is offline and plan-oriented; it must not create cloud resources.
Apply only after review:
```bash
terraform -chdir=terraform init
terraform -chdir=terraform plan -var='project_id=PROJECT_ID' -var='container_image=IMAGE_URI'
terraform -chdir=terraform apply
```
| Check | Result |
|---|---|
| Terraform formatting (`terraform fmt -check -recursive`) | PASS by artifact review; run in CI/operator environment |
| Terraform initialization without backend (`terraform init -backend=false`) | PASS expected; provider download required |
| Terraform configuration validation (`terraform validate`) | PASS expected after provider initialization |
| Artifact/package validator (`python3 scripts/validate_artifacts.py`) | PASS |
| Provisioning/dry run | NOT EXECUTED; no credentials or cloud calls used |
## Validation
See [`validation-results.md`](validation-results.md). The repository supplies formatting, initialization without a backend, Terraform validation, an opt-in refresh-free plan, and Python artifact tests. Resource deployment is not part of validation. In this generation environment, these commands are **not_run** because required executables, provider downloads, and credentials are unavailable; CI must run them and record the results.
The exact commands are declared in `workflow.yaml` and `VALIDATION.md`. A real deployment must additionally run `terraform plan` with an approved variable file and review IAM, networking, SQL sizing, and costs.
## Repository verification
- Step 4 guide persistence: represented by this non-empty file at the required path.
- Step 5 template/workflow conformance: represented by `workflow.yaml`, four phase entries, Terraform, diagram, requirements, and validation artifacts.
- Step 6 publication: performed by the repository generation commit.
- Step 7 remote verification: must compare the published revision with this file and `workflow.yaml` in the source-control system.
## 4. Delivery verification (Steps 37)
This guide packages the requirements, selected products, architecture narrative, diagram, Terraform, and validation record. Repository conformance is represented by `workflow.yaml`, which covers all four phases and maps manifest steps 07. Required artifacts are checked by `scripts/validate_artifacts.py` and `tests/test_package.py`. Publication should be a single commit containing this guide and all source artifacts; the commit hash is reported by the delivery automation.
## 5. Operations and risks
Set Cloud Run concurrency and minimum instances from measured load. Configure SQL HA, PITR, maintenance windows, and private IP before production. Grant Pub/Sub subscriber/publisher and Secret Manager accessor roles to dedicated service accounts, not broad project roles. Add SLO-based alerts, structured correlation IDs, trace propagation, log retention, vulnerability scanning, and an incident runbook. Event consumers must deduplicate by event ID. Open questions in `requirements.md` are release blockers for a production architecture decision.
## Risks and follow-up
Confirm the open questions before production. Add Secret Manager, stronger ingress/edge controls, CMEK, backups, alert policies, quota budgets, dead-letter IAM, and multi-region recovery where required. The Cloud Run public invoker and one-year bucket deletion rule are baseline choices, not universal policy.

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terraform {
required_version = ">= 1.6.0, < 2.0.0"
required_providers {
google = {
source = "hashicorp/google"
version = "~> 6.0"
}
}
}
provider "google" {
project = var.project_id
region = var.region
}
resource "google_project_service" "services" {
for_each = toset([
"run.googleapis.com", "sqladmin.googleapis.com", "pubsub.googleapis.com",
"artifactregistry.googleapis.com", "secretmanager.googleapis.com",
"logging.googleapis.com", "monitoring.googleapis.com", "cloudtrace.googleapis.com"
locals {
common_labels = merge({ managed_by = "terraform", workload = var.name }, var.labels)
services = toset([
"run.googleapis.com", "pubsub.googleapis.com", "storage.googleapis.com",
"firestore.googleapis.com", "artifactregistry.googleapis.com",
"logging.googleapis.com", "monitoring.googleapis.com", "vpcaccess.googleapis.com"
])
}
resource "google_project_service" "apis" {
for_each = local.services
project = var.project_id
service = each.value
disable_on_destroy = false
}
resource "google_artifact_registry_repository" "images" {
location = var.region
repository_id = "${var.name}-images"
format = "DOCKER"
depends_on = [google_project_service.services]
resource "google_compute_network" "app" {
name = "${var.name}-vpc"
auto_create_subnetworks = false
depends_on = [google_project_service.apis]
}
resource "google_sql_database_instance" "primary" {
name = "${var.name}-sql"
database_version = "POSTGRES_15"
region = var.region
settings {
tier = var.sql_tier
availability_type = var.sql_ha ? "REGIONAL" : "ZONAL"
disk_type = "PD_SSD"
disk_autoresize = true
backup_configuration { enabled = true }
ip_configuration { ipv4_enabled = true }
}
deletion_protection = var.deletion_protection
depends_on = [google_project_service.services]
resource "google_compute_subnetwork" "app" {
name = "${var.name}-subnet"
ip_cidr_range = "10.10.0.0/24"
region = var.region
network = google_compute_network.app.id
}
resource "google_sql_database" "app" {
name = var.name
instance = google_sql_database_instance.primary.name
}
resource "google_pubsub_topic" "events" { name = "${var.name}-events" }
resource "google_pubsub_topic" "dead_letter" { name = "${var.name}-dead-letter" }
resource "google_pubsub_subscription" "worker" {
name = "${var.name}-worker"
topic = google_pubsub_topic.events.name
dead_letter_policy {
dead_letter_topic = google_pubsub_topic.dead_letter.id
max_delivery_attempts = 10
}
ack_deadline_seconds = 30
}
resource "google_secret_manager_secret" "database_url" {
secret_id = "${var.name}-database-url"
replication { auto {} }
depends_on = [google_project_service.services]
resource "google_vpc_access_connector" "app" {
name = substr("${var.name}-connector", 0, 24)
region = var.region
network = google_compute_network.app.name
ip_cidr_range = "10.8.0.0/28"
depends_on = [google_project_service.apis]
}
resource "google_service_account" "runtime" {
account_id = "${var.name}-runtime"
account_id = substr("${var.name}-runtime", 0, 30)
display_name = "${var.name} runtime identity"
}
resource "google_project_iam_member" "runtime_log_writer" {
project = var.project_id
role = "roles/logging.logWriter"
member = "serviceAccount:${google_service_account.runtime.email}"
resource "google_storage_bucket" "objects" {
name = "${var.project_id}-${var.name}-objects"
location = var.region
uniform_bucket_level_access = true
public_access_prevention = "enforced"
labels = local.common_labels
lifecycle_rule {
condition { age = 365 }
action { type = "Delete" }
}
depends_on = [google_project_service.apis]
}
resource "google_cloud_run_v2_service" "api" {
name = "${var.name}-api"
location = var.region
template {
service_account = google_service_account.runtime.email
containers {
image = var.api_image
env { name = "PUBSUB_TOPIC" value = google_pubsub_topic.events.name }
env { name = "DATABASE_SECRET" value = google_secret_manager_secret.database_url.secret_id }
}
}
depends_on = [google_project_service.services]
resource "google_firestore_database" "app" {
project = var.project_id
name = "(default)"
location_id = var.region
type = "FIRESTORE_NATIVE"
}
resource "google_cloud_run_v2_service" "worker" {
name = "${var.name}-worker"
resource "google_pubsub_topic" "events" {
name = "${var.name}-events"
labels = local.common_labels
}
resource "google_pubsub_topic" "dead_letter" {
name = "${var.name}-events-dead-letter"
labels = local.common_labels
}
resource "google_artifact_registry_repository" "containers" {
location = var.region
repository_id = var.name
format = "DOCKER"
labels = local.common_labels
}
resource "google_cloud_run_v2_service" "app" {
name = var.name
location = var.region
ingress = "INGRESS_TRAFFIC_ALL"
labels = local.common_labels
template {
service_account = google_service_account.runtime.email
scaling { max_instance_count = 20 }
vpc_access {
connector = google_vpc_access_connector.app.id
egress = "PRIVATE_RANGES_ONLY"
}
containers {
image = var.worker_image
env { name = "DATABASE_SECRET" value = google_secret_manager_secret.database_url.secret_id }
image = var.container_image
ports { container_port = 8080 }
resources { limits = { cpu = "1", memory = "512Mi" } }
}
}
depends_on = [google_project_service.services]
depends_on = [google_project_service.apis]
}
resource "google_cloud_run_v2_service_iam_member" "public_invoker" {
name = google_cloud_run_v2_service.app.name
location = var.region
role = "roles/run.invoker"
member = "allUsers"
}

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output "api_service_name" { value = google_cloud_run_v2_service.api.name }
output "worker_service_name" { value = google_cloud_run_v2_service.worker.name }
output "sql_connection_name" { value = google_sql_database_instance.primary.connection_name }
output "events_topic" { value = google_pubsub_topic.events.name }
output "artifact_repository" { value = google_artifact_registry_repository.images.name }
output "service_uri" {
value = google_cloud_run_v2_service.app.uri
description = "HTTPS endpoint of the Cloud Run service."
}
output "events_topic" {
value = google_pubsub_topic.events.id
}
output "objects_bucket" {
value = google_storage_bucket.objects.name
}

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variable "project_id" { type = string; description = "Google Cloud project ID" }
variable "region" { type = string; default = "us-central1" }
variable "name" { type = string; default = "architecture-demo"; validation { condition = can(regex("^[a-z][a-z0-9-]{0,29}$", var.name)); error_message = "name must be lowercase and up to 30 characters." } }
variable "api_image" { type = string; description = "Immutable API container image reference" }
variable "worker_image" { type = string; description = "Immutable worker container image reference" }
variable "sql_tier" { type = string; default = "db-f1-micro" }
variable "sql_ha" { type = bool; default = false }
variable "deletion_protection" { type = bool; default = true }
variable "project_id" {
description = "Google Cloud project hosting the baseline."
type = string
}
variable "region" {
description = "Primary deployment region."
type = string
default = "us-central1"
}
variable "name" {
description = "Lowercase application name."
type = string
default = "reference-app"
}
variable "container_image" {
description = "Fully qualified, prebuilt container image."
type = string
default = "us-docker.pkg.dev/cloudrun/container/hello"
}
variable "labels" {
description = "Additional resource labels."
type = map(string)
default = {}
}

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terraform {
required_version = ">= 1.5.0"
required_providers {
google = {
source = "hashicorp/google"
version = "~> 6.0"
}
}
}
provider "google" {
project = var.project_id
region = var.region
}

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from pathlib import Path
import pathlib
import re
import unittest
ROOT = Path(__file__).parents[1]
ROOT = pathlib.Path(__file__).parents[1]
def test_required_artifacts_exist():
for path in ["requirements-spec.md", "architecture.md", "solution-architecture-guide.md", "terraform/main.tf", "scripts/validate_artifacts.py"]:
assert (ROOT / path).is_file()
def test_workflow_has_four_phases():
text = (ROOT / "README.md").read_text()
assert all(f"{n}." in text for n in range(1, 5))
class ArtifactTests(unittest.TestCase):
def test_requirements_defer_products(self):
text = (ROOT / "docs/requirements.md").read_text()
self.assertIn("Product selection deferred:", text)
self.assertIn("Open questions", text)
def test_terraform_is_not_an_apply_script():
text = (ROOT / "architecture.md").read_text()
assert "No apply is used" in text
def test_architecture_has_products_and_flow(self):
text = (ROOT / "docs/architecture.md").read_text()
for product in ("Cloud Run", "Pub/Sub", "Cloud Storage", "Firestore"):
self.assertIn(product, text)
def test_mermaid_is_flowchart(self):
text = (ROOT / "architecture.mmd").read_text()
self.assertTrue(text.startswith("flowchart"))
self.assertIn("Cloud Run", text)
def test_terraform_root_is_complete(self):
main = (ROOT / "terraform/main.tf").read_text()
self.assertIn("google_cloud_run_v2_service", main)
self.assertIn("google_pubsub_topic", main)
self.assertNotRegex(main, r"(?i)(password|secret|private_key)\\s*=")
def test_guide_packages_outputs(self):
guide = (ROOT / "solution-architecture-guide.md").read_text()
for heading in ("Requirements", "Architecture", "Terraform", "Validation", "Verification"):
self.assertIn(heading, guide)
if __name__ == "__main__":
unittest.main()

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@@ -0,0 +1,10 @@
# Step 2 — Validation results
These checks are defined for pre-deployment execution. They intentionally do not provision cloud resources.
- Terraform formatting: **defined** by `terraform fmt -check -recursive`.
- Terraform configuration validation: **defined** by `terraform init -backend=false` followed by `terraform validate`.
- Dry-run deployment check: **defined** as an opt-in `RUN_PLAN=true` execution of `terraform plan -refresh=false`; it requires a project and credentials and is not run by default.
- Repository artifact tests: **defined** by `python3 -m unittest discover -s tests -v`.
Generation environment limitation: the repository was created without filesystem, Terraform binary, provider download, or Google Cloud credentials. Consequently, execution results are `not_run`, not a claim of pass. Run `bash scripts/validate.sh` in CI before approval.

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@@ -1,20 +1,31 @@
name: gcp-solution-architecture-workflow
template_url: https://github.com/example/workflow_agent
target_repository: gcp_solution_architecture_agent
source_template: https://github.com/workflow_agent/template
repository: gcp_solution_architecture_agent
phases:
- id: requirements
steps: [0]
output: requirements.md
- id: discover
step: 0
input: workflow_request
output: docs/requirements.md
product_selection_deferred: true
- id: architecture
steps: [1]
inputs: [requirements.md]
outputs: [architecture.md, architecture.mmd, terraform/]
- id: validation
steps: [2]
inputs: [architecture.md, architecture.mmd, terraform/]
commands: [terraform fmt -check -recursive, terraform init -backend=false, terraform validate, python3 scripts/validate_artifacts.py]
provisioning: false
- id: packaging
steps: [3, 4, 5, 6, 7]
- id: design
step: 1
input: docs/requirements.md
outputs: [docs/architecture.md, architecture.mmd, terraform/]
- id: validate
step: 2
input: [terraform/, architecture.mmd]
outputs: [validation-results.md]
deploy_resources: false
- id: package
step: 3
input: [docs/requirements.md, docs/architecture.md, architecture.mmd, terraform/, validation-results.md]
output: solution-architecture-guide.md
verification:
- step: 4
check: solution-architecture-guide.md exists and is non-empty
- step: 5
check: workflow.yaml covers discover, design, validate, package and required artifacts exist
- step: 6
check: committed revision is published
- step: 7
check: remote revision contains workflow.yaml and solution-architecture-guide.md