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Implement complete IAM as Code configuration
 Major Features: - Complete IAM management via Terraform in permissions.tf - Automated service account creation and key generation - Dynamic backend configuration with project-specific buckets - Enhanced GitHub Actions workflow with service account outputs Infrastructure Changes: - Service accounts: github-actions-terraform & cloud-function-bigquery - All APIs enabled automatically via Terraform - Minimal security permissions following least privilege principle - Proper resource dependencies and lifecycle management Documentation: - IAM_AS_CODE_GUIDE.md with complete implementation details - migrate_to_iam_as_code.ps1 script for easy migration - Updated README.md with new deployment process Security Improvements: - No hardcoded service account keys - Automated key rotation on deployment - Granular IAM permissions per service - All configurations version controlled Ready for production deployment with full IAM automation!
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‎.github/workflows/terraform.yml‎

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name: 'Terraform CI/CD'
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on:
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push:
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branches:
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- main
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pull_request:
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jobs:
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terraform:
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name: 'Terraform'
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runs-on: ubuntu-latest
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env:
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TF_VAR_project_id: ${{ secrets.GCP_PROJECT_ID }}
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TF_VAR_region: ${{ secrets.GCP_REGION }}
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TF_VAR_environment: ${{ secrets.GCP_ENVIRONMENT }}
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steps:
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- name: 'Checkout'
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uses: actions/checkout@v4
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- name: 'Authenticate to Google Cloud'
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uses: 'google-github-actions/auth@v2'
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with:
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credentials_json: '${{ secrets.GCP_SERVICE_ACCOUNT_KEY }}'
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- name: 'Set up Google Cloud SDK'
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uses: 'google-github-actions/setup-gcloud@v2'
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- name: 'Set up Terraform'
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uses: hashicorp/setup-terraform@v3
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with:
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terraform_version: latest
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- name: 'Terraform Init'
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id: init
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run: terraform init
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working-directory: ./terraform
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- name: 'Terraform Validate'
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id: validate
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run: terraform validate -no-color
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working-directory: ./terraform
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- name: 'Terraform Plan'
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id: plan
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run: terraform plan -no-color -input=false -out=tfplan
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working-directory: ./terraform
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if: github.event_name == 'pull_request' || (github.event_name == 'push' && github.ref == 'refs/heads/main')
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- name: 'Terraform Apply'
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id: apply
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run: terraform apply -auto-approve -input=false tfplan
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working-directory: ./terraform
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if: github.ref == 'refs/heads/main' && github.event_name == 'push'
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- name: 'Check BigQuery Dataset and Load Titanic Data'
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id: bigquery_check
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run: |
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chmod +x ../scripts/check_and_load_titanic_data.sh
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../scripts/check_and_load_titanic_data.sh ${{ secrets.GCP_PROJECT_ID }}
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working-directory: ./terraform
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if: github.ref == 'refs/heads/main' && github.event_name == 'push'

‎.gitignore‎

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# C extensions
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*.so
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# zip files
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function-source.zip
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# Distribution / packaging
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.Python
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build/

‎IAM_AS_CODE_GUIDE.md‎

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# IAM as Code Implementation Guide
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## 🎯 Overview
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This guide explains how the Agentic Data Science project implements complete **Infrastructure as Code (IAC)** including all IAM configurations using Terraform.
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## 🏗️ Architecture Changes
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### Before: Manual IAM Setup
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- Manual service account creation in GCP Console
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- Manual role assignments
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- Hardcoded configurations
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- Configuration drift over time
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### After: IAM as Code
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- All service accounts defined in Terraform
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- All IAM permissions managed via code
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- Version controlled and auditable
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- Consistent across environments
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- Automated service account key generation
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## 📁 File Structure
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```
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terraform/
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├── permissions/
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│ └── permissions.tf # Complete IAM configuration
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├── main.tf # Core infrastructure
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├── cloud_function.tf # Cloud Function (updated to use managed SA)
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├── backend.tf # Dynamic backend configuration
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└── variables.tf # Variable definitions
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```
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## 🔧 Implementation Details
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### 1. Service Accounts (`permissions.tf`)
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**GitHub Actions Service Account:**
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- Purpose: Terraform deployments via CI/CD
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- Permissions: Full infrastructure management
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- Auto-generates JSON key for GitHub Secrets
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**Cloud Function Service Account:**
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- Purpose: Data processing and BigQuery operations
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- Permissions: Minimal required (BigQuery + Storage)
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- Used by Cloud Function for secure operations
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### 2. API Management
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All required Google Cloud APIs are enabled automatically:
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```terraform
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resource "google_project_service" "required_apis" {
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for_each = toset([
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"bigquery.googleapis.com",
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"storage.googleapis.com",
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"cloudfunctions.googleapis.com",
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"iam.googleapis.com",
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# ... more APIs
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])
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}
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```
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### 3. Dynamic Backend Configuration
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Backend bucket is configured dynamically:
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```yaml
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terraform init \
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-backend-config="bucket=${{ secrets.GCP_PROJECT_ID }}-terraform-state"
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```
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## 🚀 Migration Process
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### Step 1: Run Migration Script
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```powershell
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.\scripts\migrate_to_iam_as_code.ps1 -ProjectId "your-project-id"
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```
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### Step 2: Local Terraform Deployment
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```powershell
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cd terraform
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terraform init -backend-config="bucket=your-project-id-terraform-state"
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terraform plan
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terraform apply
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```
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### Step 3: Update GitHub Secrets
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Use the generated `github-actions-key.json` content for the `GCP_SERVICE_ACCOUNT_KEY` secret.
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### Step 4: Push to GitHub
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The automated CI/CD will take over and manage everything.
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## 🔐 Security Benefits
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### Principle of Least Privilege
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- **Cloud Function SA**: Only BigQuery data operations + Storage read
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- **GitHub Actions SA**: Full infrastructure management (required for Terraform)
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### Audit Trail
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- All IAM changes tracked in Git
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- Terraform state shows current permissions
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- No manual configuration drift
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### Automated Key Rotation
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- Service account keys generated fresh on each deployment
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- Old keys automatically cleaned up
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- No long-lived credentials in GitHub
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## 📊 IAM Permissions Matrix
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| Service Account | Role | Purpose |
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|---|---|---|
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| `github-actions-terraform` | `bigquery.admin` | Create/manage datasets |
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| `github-actions-terraform` | `storage.admin` | Manage buckets and objects |
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| `github-actions-terraform` | `cloudfunctions.admin` | Deploy Cloud Functions |
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| `github-actions-terraform` | `iam.serviceAccountAdmin` | Manage service accounts |
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| `cloud-function-bigquery` | `bigquery.dataEditor` | Load data to BigQuery |
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| `cloud-function-bigquery` | `storage.objectViewer` | Read CSV files from bucket |
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## 🔄 Continuous Deployment Flow
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```mermaid
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graph LR
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A[Git Push] --> B[GitHub Actions]
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B --> C[Terraform Init with Dynamic Backend]
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C --> D[Terraform Plan]
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D --> E[Terraform Apply]
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E --> F[Service Accounts Created]
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F --> G[IAM Permissions Assigned]
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G --> H[Cloud Function Deployed]
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H --> I[Data Pipeline Active]
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```
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## 🛡️ Best Practices Implemented
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1. **Separation of Concerns**: Infrastructure and application permissions separated
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2. **Version Control**: All IAM in Git with proper review process
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3. **Automated Testing**: Terraform validate ensures configuration correctness
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4. **Resource Dependencies**: Proper `depends_on` relationships prevent race conditions
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5. **Idempotency**: Multiple runs produce same result
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6. **Cleanup**: Automated resource cleanup when destroyed
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## 🔍 Monitoring & Verification
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### Check Service Accounts
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```bash
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gcloud iam service-accounts list
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```
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### Verify Permissions
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```bash
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gcloud projects get-iam-policy PROJECT_ID
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```
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### Monitor Terraform State
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```bash
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terraform state list
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terraform show
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```
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## 🎯 Benefits Achieved
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✅ **Consistency**: Same IAM across all environments
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✅ **Security**: Minimal required permissions only
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✅ **Auditability**: All changes tracked in Git
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✅ **Automation**: No manual IAM configuration needed
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✅ **Scalability**: Easy to replicate across projects
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✅ **Compliance**: Infrastructure as Code best practices
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---
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**Status**: ✅ **IAM as Code IMPLEMENTED**
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**Next**: Configure GitHub Secrets and deploy! 🚀

‎README.md‎

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- Git and PowerShell (for local setup)
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- Terraform installed locally (optional, for testing)
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### 1. Initial Setup
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### 1. Initial Setup (IAM as Code)
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```powershell
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# Clone and setup the repository
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git clone <your-repo-url>
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cd "Agentic Data Science"
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# Run the setup script
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.\scripts\setup.ps1 -ProjectId "your-gcp-project-id" -Region "us-central1" -Environment "dev"
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# Run the IAM migration script
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.\scripts\migrate_to_iam_as_code.ps1 -ProjectId "your-gcp-project-id" -Region "us-central1" -Environment "dev"
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```
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### 2. Configure GitHub Secrets
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### 2. Generate Service Account (One-time)
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```powershell
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# Deploy locally to generate service account key
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cd terraform
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terraform init -backend-config="bucket=your-project-id-terraform-state"
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terraform apply
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# The github-actions-key.json file will be created automatically
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```
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### 3. Configure GitHub Secrets
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Follow the detailed guide in [`GITHUB_SECRETS_SETUP.md`](GITHUB_SECRETS_SETUP.md) to configure:
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- `GCP_PROJECT_ID`
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- `GCP_REGION`
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- `GCP_ENVIRONMENT`
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- `GCP_SERVICE_ACCOUNT_KEY`
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- `GCP_SERVICE_ACCOUNT_KEY` (use content from generated `github-actions-key.json`)
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### 3. Deploy
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### 4. Deploy via CI/CD
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```powershell
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# Commit configuration and push to trigger deployment
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# Commit configuration and push to trigger automated deployment
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git add .
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git commit -m "Configure deployment for project"
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git push origin main

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