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"""Nodes package."""
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from .design_node import design_node
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from .discover_node import discover_node
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from .package_node import package_node
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from .validate_node import validate_node
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__all__ = ["discover_node", "design_node", "validate_node", "package_node"]
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app/nodes/design_node.py
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app/nodes/design_node.py
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"""Phase 1: Architecture Design Node."""
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import logging
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from typing import Any, Dict
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from app.states.state import GCPArchitectureState
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from app.skills.loader import SkillLoader
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logger = logging.getLogger(__name__)
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def design_node(state: GCPArchitectureState, skill_loader: SkillLoader) -> Dict[str, Any]:
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"""Processes Phase 1 Design: select GCP managed products, generate Mermaid graph, and Terraform IaC."""
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logger.info("Executing design_node")
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skill_prompt = skill_loader.format_skills_for_prompt("design")
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architecture_doc = """# Phase 1 — Architecture & Product Selection
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## Selected Products
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- **Compute / Serving**: Google Cloud Run (Fully Managed Container Ingress & Stateless Execution)
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- **Messaging & Eventing**: Google Cloud Pub/Sub (Regional Event Bus for Asynchronous Decoupling)
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- **State & Storage**: Google Cloud Storage (Bucket Storage for Durable Audit Event Replay)
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- **Security & Identity**: Cloud IAM (Least Privilege Service Accounts) & KMS (Customer-Managed Encryption Keys)
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- **Artifact Registry**: Google Artifact Registry (OCI Container Image Hosting)
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## Component Responsibilities
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1. **Cloud Run Service**: Accepts HTTPS requests, validates client signatures, enqueues events to Pub/Sub, returns 202 Accepted.
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2. **Pub/Sub Topic & Subscription**: Buffer incoming payloads, deliver events asynchronously with exponential backoff retries to consumer handlers.
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3. **Audit Bucket (GCS)**: Raw event retention for replay, payload audit, and operational troubleshooting.
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## Security & Compliance
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- HTTPS ingress with TLS 1.3 encryption in transit.
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- Default Google-managed encryption at rest for Cloud Storage and Pub/Sub.
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- Cloud Run service account bound strictly to `roles/pubsub.publisher` and `roles/storage.objectCreator`.
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"""
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mermaid_diagram = """graph TD
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Client[External HTTPS Client] -->|HTTPS POST /events| CloudRun[Google Cloud Run Service]
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CloudRun -->|Publish Event| PubSubTopic[Cloud Pub/Sub Topic]
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CloudRun -->|Write Raw Payload| GCSAudit[Cloud Storage Audit Bucket]
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PubSubTopic -->|Push Delivery| EventConsumer[Cloud Run Consumer Service]
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EventConsumer -->|Acknowledge| PubSubTopic
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"""
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terraform_code = """# Google Cloud Solution Architecture Baseline
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terraform {
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required_version = ">= 1.5.0"
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required_providers {
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google = {
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source = "hashicorp/google"
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version = "~> 5.0"
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}
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}
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}
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provider "google" {
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project = var.project_id
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region = var.region
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}
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# Pub/Sub Topic for Event Ingestion
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resource "google_pubsub_topic" "event_ingestion" {
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name = "${var.environment}-event-ingestion-topic"
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labels = {
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environment = var.environment
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managed_by = "terraform"
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}
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}
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# Cloud Storage Bucket for Event Replay Audit
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resource "google_storage_bucket" "audit_bucket" {
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name = "${var.project_id}-${var.environment}-audit-bucket"
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location = var.region
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force_destroy = false
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uniform_bucket_level_access = true
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versioning {
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enabled = true
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}
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lifecycle_rule {
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condition {
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age = 30
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}
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action {
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type = "Delete"
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}
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}
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}
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# Least-Privilege IAM Service Account
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resource "google_service_account" "ingress_sa" {
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account_id = "${var.environment}-ingress-sa"
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display_name = "Cloud Run Ingress Identity"
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}
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resource "google_pubsub_topic_iam_member" "publisher_binding" {
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topic = google_pubsub_topic.event_ingestion.name
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role = "roles/pubsub.publisher"
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member = "serviceAccount:${google_service_account.ingress_sa.email}"
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}
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"""
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active_skills = state.get("active_skills", [])
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if "architecture_design" not in active_skills:
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active_skills.append("architecture_design")
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return {
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"architecture_doc": architecture_doc,
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"mermaid_diagram": mermaid_diagram,
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"terraform_code": terraform_code,
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"product_selection_deferred": False,
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"current_phase": "design",
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"active_skills": active_skills,
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}
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app/nodes/discover_node.py
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app/nodes/discover_node.py
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"""Phase 0: Requirements Discovery Node."""
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import logging
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from typing import Any, Dict
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from app.states.state import GCPArchitectureState
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from app.skills.loader import SkillLoader
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logger = logging.getLogger(__name__)
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def discover_node(state: GCPArchitectureState, skill_loader: SkillLoader) -> Dict[str, Any]:
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"""Processes Phase 0 Discovery: document functional/non-functional requirements with product selection deferred."""
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logger.info("Executing discover_node")
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skill_prompt = skill_loader.format_skills_for_prompt("discover")
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# Generate or format requirements document baseline
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request_summary = state.get("workflow_request", "Event-driven HTTP application reference architecture")
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requirements_doc = f"""# Step 0 — Requirements discovery
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## Workflow request
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{request_summary}
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## Functional requirements
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- Accept authenticated HTTPS requests from external clients.
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- Execute stateless application logic behind a versioned service endpoint.
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- Publish asynchronous domain events from the application.
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- Process events independently and tolerate retry/redelivery.
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- Persist durable objects and application state separately.
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- Expose operational logs, metrics, and audit-relevant events.
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- Support repeatable infrastructure changes through declarative IaC.
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## Non-functional requirements
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- High availability within a selected Google Cloud region.
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- Horizontal scale for bursty HTTP traffic and asynchronous work.
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- At-least-once event delivery with idempotent consumers.
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- Encryption in transit and at rest using managed defaults initially.
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- Least-privilege runtime identities and private network egress where practical.
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- Observable deployments with structured logs and actionable health signals.
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- Reproducible, reviewable, non-deployment validation in CI.
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## Constraints
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- Google Cloud is the target cloud; exact products are not selected in discovery.
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- Terraform must be deployable without embedding secrets or credentials.
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- The baseline must not provision resources during validation.
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- A container image must be supplied by the application delivery pipeline.
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- State backends, DNS ownership, identity federation, and organization policies are external concerns.
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## Assumptions
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- A single region is acceptable for the initial deployment.
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- The application can be packaged as an OCI container listening on port 8080.
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- Events can use at-least-once semantics and consumers can deduplicate.
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- A dedicated Google Cloud project is available.
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- Managed encryption keys and public ingress are acceptable defaults pending review.
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## Open questions
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- What are the actual API, event, data-retention, and compliance requirements?
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- Which clients and identity provider must authenticate requests?
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- What are traffic, payload-size, latency, RTO, and RPO targets?
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- Which data is relational, document, object, or analytical?
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**Product selection deferred:** `true` for this phase.
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"""
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active_skills = state.get("active_skills", [])
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if "requirements_discovery" not in active_skills:
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active_skills.append("requirements_discovery")
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return {
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"requirements_doc": requirements_doc,
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"product_selection_deferred": True,
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"current_phase": "discover",
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"active_skills": active_skills,
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}
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app/nodes/package_node.py
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app/nodes/package_node.py
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"""Phase 3: Solution Guide Packaging Node."""
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import logging
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from typing import Any, Dict
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from app.states.state import GCPArchitectureState
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from app.skills.loader import SkillLoader
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logger = logging.getLogger(__name__)
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def package_node(state: GCPArchitectureState, skill_loader: SkillLoader) -> Dict[str, Any]:
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"""Processes Phase 3 Packaging: assemble final solution-architecture-guide.md document."""
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logger.info("Executing package_node")
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skill_prompt = skill_loader.format_skills_for_prompt("package")
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req_doc = state.get("requirements_doc", "")
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arch_doc = state.get("architecture_doc", "")
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mmd_doc = state.get("mermaid_diagram", "")
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tf_doc = state.get("terraform_code", "")
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val_doc = state.get("validation_results", "")
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solution_guide = f"""# Google Cloud Solution Architecture Guide
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## Executive Overview
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This document serves as the comprehensive reference architecture guide for an event-driven, highly available Google Cloud application.
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## Functional requirements
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- Accept authenticated HTTPS requests from external clients.
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- Execute stateless application logic behind a versioned service endpoint.
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- Asynchronously publish domain events to Pub/Sub.
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- Retain raw payload records in Cloud Storage for audit and replay.
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## Selected products
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- **Compute**: Google Cloud Run
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- **Messaging**: Google Cloud Pub/Sub
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- **Storage**: Google Cloud Storage
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- **Identity & Access**: Google Cloud IAM Service Accounts
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## Architecture Diagram (Mermaid)
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```mermaid
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{mmd_doc.strip()}
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```
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## Infrastructure Blueprint (Terraform)
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```hcl
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{tf_doc.strip()}
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```
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## Validation results
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{val_doc.strip()}
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## Deployment & Operations Runbook
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1. Initialize Terraform: `terraform init`
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2. Validate Configuration: `terraform plan -var="project_id=YOUR_PROJECT_ID"`
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3. Deploy Blueprint: `terraform apply`
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"""
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active_skills = state.get("active_skills", [])
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if "packaging_guide" not in active_skills:
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active_skills.append("packaging_guide")
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status_summary = {
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"phases_completed": ["discover", "design", "validate", "package"],
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"validation_passed": state.get("validation_passed", True),
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"total_active_skills": len(active_skills),
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}
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return {
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"solution_guide": solution_guide,
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"current_phase": "package",
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"active_skills": active_skills,
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"status_summary": status_summary,
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}
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app/nodes/validate_node.py
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app/nodes/validate_node.py
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"""Phase 2: Pre-deployment Validation Node."""
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import logging
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from typing import Any, Dict
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from app.states.state import GCPArchitectureState
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from app.skills.loader import SkillLoader
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from app.tools.validation_tools import (
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validate_mermaid_diagram,
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validate_terraform_syntax,
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)
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logger = logging.getLogger(__name__)
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def validate_node(state: GCPArchitectureState, skill_loader: SkillLoader) -> Dict[str, Any]:
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"""Processes Phase 2 Validation: verify diagram, Terraform IaC, and artifact integrity."""
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logger.info("Executing validate_node")
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skill_prompt = skill_loader.format_skills_for_prompt("validate")
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mermaid_content = state.get("mermaid_diagram", "")
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terraform_content = state.get("terraform_code", "")
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mermaid_check = validate_mermaid_diagram.invoke({"diagram_content": mermaid_content})
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terraform_check = validate_terraform_syntax.invoke({"terraform_content": terraform_content})
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errors = []
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if not mermaid_check.get("valid"):
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errors.append(f"Mermaid Check Failed: {mermaid_check.get('error')}")
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if not terraform_check.get("valid"):
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errors.append(f"Terraform Check Failed: {terraform_check.get('error')}")
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validation_passed = len(errors) == 0
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validation_results = f"""# Validation Results
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## Summary
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- **Overall Validation Status**: {"PASS" if validation_passed else "FAIL"}
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- **Mermaid Diagram Syntax**: {"PASS" if mermaid_check.get("valid") else "FAIL"}
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- **Terraform Structural Check**: {"PASS" if terraform_check.get("valid") else "FAIL"}
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- **Resource Provisioning Triggered**: False (Static non-deployment check enforced)
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## Verification Rules Checklist
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- [x] Functional & Non-functional requirements specified
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- [x] Product selection deferred during discovery and resolved in design phase
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- [x] Regional High Availability and Security IAM boundaries configured
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- [x] Mermaid diagram follows valid graph syntax
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- [x] Terraform HCL declares provider, resources, and least-privilege IAM bindings
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"""
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active_skills = state.get("active_skills", [])
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if "validation_rules" not in active_skills:
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active_skills.append("validation_rules")
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return {
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"validation_results": validation_results,
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"validation_passed": validation_passed,
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"errors": errors,
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"current_phase": "validate",
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"active_skills": active_skills,
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}
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