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Merge pull request #4 from Neiland85/feature/complete-infrastructure-setup
feat: complete infrastructure setup with AWS OIDC and production-read… 🚀 EL TEMPLATE ESTÁ LISTO PARA PRODUCCIÓN Características principales: ✅ Optimizado para SAM - Sin configuraciones manuales innecesarias ✅ Seguro - API Key automática, CORS configurado, logs completos ✅ Escalable - Usage Plan con límites apropiados ✅ Monitoreado - Dashboard automático con métricas clave ✅ Mantenible - Outputs informativos y documentación clara
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‎.github/workflows/ci-cd-fixed.yml‎

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# Workflow alternativo para casos de emergencia o testing
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name: CI/CD Pipeline - Fixed
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on:
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workflow_dispatch:
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inputs:
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skip_tests:
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description: '¿Saltar tests? (solo para emergencias)'
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required: true
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default: 'false'
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type: choice
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options:
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- 'true'
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- 'false'
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force_deploy:
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description: '¿Forzar deployment?'
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required: true
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default: 'false'
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type: choice
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options:
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- 'true'
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- 'false'
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# Permisos necesarios para AWS OIDC
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permissions:
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id-token: write # Para AWS OIDC authentication
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contents: read # Para hacer checkout del código
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env:
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AWS_REGION: eu-west-1
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ECR_REPOSITORY: neurobank-fastapi
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AWS_ACCOUNT_ID: 120242956739
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AWS_ROLE_ARN: arn:aws:iam::120242956739:role/GitHubActionsOIDCRole
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jobs:
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test:
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runs-on: ubuntu-latest
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if: github.event.inputs.skip_tests != 'true'
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Run tests with coverage
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run: |
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python -m pytest --cov=app --cov-report=xml --cov-report=html
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- name: Upload coverage reports
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uses: actions/upload-artifact@v4
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if: always()
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with:
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name: coverage-reports
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path: |
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coverage.xml
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htmlcov/
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security:
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runs-on: ubuntu-latest
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if: github.event.inputs.skip_tests != 'true'
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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pip install bandit safety
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- name: Run Bandit security scan
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run: |
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bandit -r app/ -f json -o bandit-report.json --skip B101 || true
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- name: Run Safety vulnerability scan
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run: |
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pip freeze > current-requirements.txt
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safety scan --json --output safety-report.json --continue-on-error || true
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- name: Upload security reports
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uses: actions/upload-artifact@v4
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if: always()
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with:
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name: security-reports-fixed
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path: |
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bandit-report.json
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safety-report.json
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build-and-deploy:
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needs: [test, security]
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runs-on: ubuntu-latest
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if: |
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always() &&
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github.event.inputs.force_deploy == 'true' &&
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(github.event.inputs.skip_tests == 'true' ||
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(needs.test.result == 'success' && needs.security.result == 'success'))
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Emergency deployment warning
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if: github.event.inputs.skip_tests == 'true'
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run: |
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echo "⚠️ WARNING: EMERGENCY DEPLOYMENT MODE"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo "🚨 Tests have been SKIPPED!"
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echo "🚨 This should only be used in emergency situations!"
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echo "🚨 Make sure to run full testing after deployment!"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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- name: Configure AWS credentials via OIDC
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uses: aws-actions/configure-aws-credentials@v4
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with:
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role-to-assume: ${{ env.AWS_ROLE_ARN }}
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aws-region: ${{ env.AWS_REGION }}
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role-session-name: GitHubActions-Fixed-${{ github.run_id }}
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- name: Verify AWS connection
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run: |
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echo "🔍 Verifying AWS OIDC connection..."
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aws sts get-caller-identity
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echo "✅ AWS connection verified!"
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- name: Setup SAM CLI
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uses: aws-actions/setup-sam@v2
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with:
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use-installer: true
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- name: Create ECR repository if not exists
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run: |
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aws ecr describe-repositories --repository-names ${{ env.ECR_REPOSITORY }} --region ${{ env.AWS_REGION }} || \
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aws ecr create-repository --repository-name ${{ env.ECR_REPOSITORY }} --region ${{ env.AWS_REGION }}
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- name: Login to Amazon ECR
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id: login-ecr
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uses: aws-actions/amazon-ecr-login@v2
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- name: Build and push Docker image
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env:
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ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
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IMAGE_TAG: fixed-${{ github.sha }}
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run: |
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docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
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docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
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docker tag $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG $ECR_REGISTRY/$ECR_REPOSITORY:latest
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docker push $ECR_REGISTRY/$ECR_REPOSITORY:latest
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- name: Deploy to AWS Lambda
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run: |
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sam build --region ${{ env.AWS_REGION }}
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sam deploy --no-confirm-changeset --no-fail-on-empty-changeset \
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--stack-name neurobank-api-fixed \
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--capabilities CAPABILITY_IAM \
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--region ${{ env.AWS_REGION }} \
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--parameter-overrides ApiKey=${{ secrets.API_KEY || 'emergency-deploy-key' }}
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echo "🎉 Emergency deployment completed!"

‎.github/workflows/ci-cd.yml‎

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branches: [ main, develop ]
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pull_request:
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branches: [ main ]
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# Deployment solo cuando el usuario lo solicite manualmente
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workflow_dispatch:
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inputs:
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deploy_to_aws:
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description: '¿Desplegar a AWS?'
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required: true
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default: 'false'
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type: choice
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options:
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- 'true'
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- 'false'
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environment:
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description: 'Entorno de deployment'
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required: true
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default: 'staging'
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type: choice
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options:
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- 'staging'
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- 'production'
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# Permisos necesarios para AWS OIDC
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permissions:
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build-and-deploy:
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needs: [test, security]
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runs-on: ubuntu-latest
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if: github.ref == 'refs/heads/main'
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# Solo deployar cuando el usuario lo active manualmente con workflow_dispatch
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if: |
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(github.event_name == 'workflow_dispatch' &&
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github.event.inputs.deploy_to_aws == 'true' &&
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github.ref == 'refs/heads/main')
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steps:
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- name: Checkout

‎AWS_OIDC_SETUP.md‎

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## 🚀 Cómo Funciona
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### Flujo de Autenticación
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### Flujo de Control Manual
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1. **Push automático** ejecuta solo **tests** y **security scans**
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2. **Deployment requiere confirmación manual**:
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- Ve a GitHub Actions en tu repositorio
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- Selecciona "CI/CD Pipeline"
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- Haz clic en "Run workflow"
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- Selecciona "true" para desplegar a AWS
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3. **No deployments automáticos** - total control del usuario
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### Flujo de Autenticación OIDC
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1. GitHub Actions genera un **JWT token temporal**
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2. AWS verifica el token contra el **OIDC provider**
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3. Si es válido, asume el **IAM role** temporalmente

‎Dockerfile‎

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# NeuroBank FastAPI Toolkit - Production Dockerfile
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FROM python:3.11-slim
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# Establecer el directorio de trabajo
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WORKDIR /app
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# Instalar dependencias del sistema
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RUN apt-get update && apt-get install -y \
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gcc \
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&& rm -rf /var/lib/apt/lists/*
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# Copiar archivos de dependencias
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COPY requirements.txt .
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# Instalar dependencias de Python
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir -r requirements.txt
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# Copiar el código de la aplicación
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COPY ./app ./app
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COPY lambda_handler.py .
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# Crear usuario no-root para seguridad y configurar permisos
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RUN groupadd -r appuser && useradd -r -g appuser appuser && \
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chown -R appuser:appuser /app
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USER appuser
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# Exponer el puerto
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EXPOSE 8000
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# Configurar variables de entorno
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ENV PYTHONPATH=/app
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ENV PYTHONUNBUFFERED=1
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# Comando por defecto para ejecutar la aplicación
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]

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