conception-assistant/templates/informatique/complet.md

# Projet Informatique - Documentation Complète

## 1. Contexte et Vision

### 1.1 Contexte organisationnel
[Description de l'organisation, du département, de l'équipe]

### 1.2 Problématique métier
[Analyse détaillée des problèmes business à résoudre]

### 1.3 Vision produit
[Vision long-terme du produit et de son évolution]

### 1.4 Alignement stratégique
[Comment le projet s'inscrit dans la stratégie de l'entreprise]

## 2. Analyse des besoins approfondie

### 2.1 Parties prenantes
| Partie prenante | Rôle | Influence | Besoins | Contact |
|-----------------|------|-----------|---------|---------|
| Product Owner | | Élevée | | |
| Tech Lead | | Élevée | | |
| Utilisateurs finaux | | Moyenne | | |

### 2.2 User Stories détaillées
```gherkin
Feature: Authentification utilisateur
  En tant qu'utilisateur
  Je veux pouvoir me connecter de manière sécurisée
  Afin d'accéder à mes données personnelles

  Scenario: Connexion réussie
    Given je suis sur la page de connexion
    When je saisis mes identifiants corrects
    Then je suis redirigé vers le dashboard
    And je vois mon nom d'utilisateur affiché

  Scenario: Connexion échouée
    Given je suis sur la page de connexion
    When je saisis des identifiants incorrects
    Then je vois un message d'erreur
    And je reste sur la page de connexion
```

### 2.3 Acceptance Criteria détaillés
[Critères d'acceptation pour chaque user story]

### 2.4 Contraintes détaillées
#### Contraintes techniques
- **Compatibilité** : IE11+, Chrome 80+, Firefox 75+, Safari 13+
- **Performance** : Temps de chargement < 2s, Core Web Vitals > 90
- **Accessibilité** : Conformité WCAG 2.1 AA
- **SEO** : Structure sémantique, balises meta, sitemap

#### Contraintes légales
- **RGPD** : Consentement, droit à l'oubli, portabilité
- **Sécurité** : ISO 27001, chiffrement bout-en-bout
- **Audit** : Traçabilité des actions, journalisation

## 3. Architecture complète

### 3.1 Architecture métier
[Domain-Driven Design, bounded contexts]

### 3.2 Architecture applicative
```mermaid
graph TB
    A[Load Balancer] --> B[API Gateway]
    B --> C[Auth Service]
    B --> D[User Service]
    B --> E[Content Service]
    C --> F[(Auth DB)]
    D --> G[(User DB)]
    E --> H[(Content DB)]
    E --> I[File Storage]

    J[Frontend SPA] --> B
    K[Mobile App] --> B
    L[Admin Panel] --> B
```

### 3.3 Architecture technique détaillée
#### Microservices
```yaml
services:
  auth-service:
    image: auth-service:latest
    environment:
      - JWT_SECRET=${JWT_SECRET}
      - DB_CONNECTION=${AUTH_DB_URL}
    dependencies:
      - postgres-auth
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:3001/health"]
      interval: 30s
      timeout: 10s
      retries: 3

  user-service:
    image: user-service:latest
    environment:
      - DB_CONNECTION=${USER_DB_URL}
    dependencies:
      - postgres-users
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:3002/health"]
```

### 3.4 Modèle de données complet
```sql
-- Système de permissions
CREATE TABLE roles (
  id SERIAL PRIMARY KEY,
  name VARCHAR(100) UNIQUE NOT NULL,
  description TEXT,
  created_at TIMESTAMP DEFAULT NOW()
);

CREATE TABLE permissions (
  id SERIAL PRIMARY KEY,
  name VARCHAR(100) UNIQUE NOT NULL,
  resource VARCHAR(100) NOT NULL,
  action VARCHAR(100) NOT NULL,
  created_at TIMESTAMP DEFAULT NOW()
);

CREATE TABLE role_permissions (
  role_id INTEGER REFERENCES roles(id) ON DELETE CASCADE,
  permission_id INTEGER REFERENCES permissions(id) ON DELETE CASCADE,
  PRIMARY KEY (role_id, permission_id)
);

-- Audit trail
CREATE TABLE audit_logs (
  id SERIAL PRIMARY KEY,
  user_id INTEGER REFERENCES users(id),
  action VARCHAR(100) NOT NULL,
  resource_type VARCHAR(100) NOT NULL,
  resource_id VARCHAR(100),
  old_values JSONB,
  new_values JSONB,
  ip_address INET,
  user_agent TEXT,
  created_at TIMESTAMP DEFAULT NOW()
);

-- Système de notifications
CREATE TABLE notifications (
  id SERIAL PRIMARY KEY,
  user_id INTEGER REFERENCES users(id) ON DELETE CASCADE,
  type VARCHAR(50) NOT NULL,
  title VARCHAR(255) NOT NULL,
  message TEXT,
  read_at TIMESTAMP,
  created_at TIMESTAMP DEFAULT NOW()
);
```

## 4. Conception détaillée par couche

### 4.1 Couche présentation
#### Design System complet
```scss
// Tokens de design
$colors: (
  primary: (
    50: #f0f9ff,
    100: #e0f2fe,
    500: #0ea5e9,
    900: #0c4a6e
  ),
  semantic: (
    success: #10b981,
    warning: #f59e0b,
    error: #ef4444,
    info: #3b82f6
  )
);

$typography: (
  h1: (
    font-size: 2.25rem,
    line-height: 1.2,
    font-weight: 700
  ),
  body: (
    font-size: 1rem,
    line-height: 1.5,
    font-weight: 400
  )
);

$spacing: (
  xs: 0.25rem,
  sm: 0.5rem,
  md: 1rem,
  lg: 1.5rem,
  xl: 3rem
);
```

#### Composants React avancés
```typescript
// Hook personnalisé pour la gestion d'état
export const useApiData = <T>(url: string, options?: RequestOptions) => {
  const [data, setData] = useState<T | null>(null);
  const [loading, setLoading] = useState(true);
  const [error, setError] = useState<Error | null>(null);

  useEffect(() => {
    const fetchData = async () => {
      try {
        setLoading(true);
        const response = await apiClient.get<T>(url, options);
        setData(response.data);
      } catch (err) {
        setError(err as Error);
      } finally {
        setLoading(false);
      }
    };

    fetchData();
  }, [url]);

  return { data, loading, error, refetch: fetchData };
};

// Composant de tableau réutilisable
interface DataTableProps<T> {
  data: T[];
  columns: ColumnDef<T>[];
  loading?: boolean;
  onRowClick?: (row: T) => void;
  pagination?: PaginationOptions;
}

export function DataTable<T>({
  data,
  columns,
  loading = false,
  onRowClick,
  pagination
}: DataTableProps<T>) {
  // Implémentation avec react-table
}
```

### 4.2 Couche métier
#### Domain Services
```typescript
// Service métier pour la gestion des utilisateurs
export class UserDomainService {
  constructor(
    private userRepository: IUserRepository,
    private emailService: IEmailService,
    private auditService: IAuditService
  ) {}

  async createUser(userData: CreateUserCommand): Promise<User> {
    // Validation des règles métier
    await this.validateUserCreation(userData);

    // Création de l'utilisateur
    const user = await this.userRepository.create({
      ...userData,
      status: UserStatus.PENDING_VERIFICATION,
      createdAt: new Date()
    });

    // Envoi email de vérification
    await this.emailService.sendVerificationEmail(user.email);

    // Audit
    await this.auditService.log({
      action: 'USER_CREATED',
      userId: user.id,
      details: { email: user.email }
    });

    return user;
  }

  private async validateUserCreation(userData: CreateUserCommand): Promise<void> {
    // Vérification unicité email
    const existingUser = await this.userRepository.findByEmail(userData.email);
    if (existingUser) {
      throw new DomainError('EMAIL_ALREADY_EXISTS', 'Cet email est déjà utilisé');
    }

    // Validation format email
    if (!this.isValidEmail(userData.email)) {
      throw new DomainError('INVALID_EMAIL_FORMAT', 'Format email invalide');
    }

    // Validation force mot de passe
    if (!this.isStrongPassword(userData.password)) {
      throw new DomainError('WEAK_PASSWORD', 'Le mot de passe n\'est pas assez fort');
    }
  }
}
```

### 4.3 Couche données
#### Repositories avec patterns avancés
```typescript
// Pattern Repository avec Unit of Work
export class UserRepository implements IUserRepository {
  constructor(private db: Database) {}

  async findById(id: string): Promise<User | null> {
    const query = `
      SELECT u.*, r.name as role_name
      FROM users u
      LEFT JOIN roles r ON u.role_id = r.id
      WHERE u.id = $1 AND u.deleted_at IS NULL
    `;

    const result = await this.db.query(query, [id]);
    return result.rows[0] ? this.mapToUser(result.rows[0]) : null;
  }

  async findWithPagination(
    filters: UserFilters,
    pagination: PaginationOptions
  ): Promise<PaginatedResult<User>> {
    const whereClause = this.buildWhereClause(filters);
    const orderClause = this.buildOrderClause(pagination.sortBy, pagination.sortOrder);

    const [dataResult, countResult] = await Promise.all([
      this.db.query(`
        SELECT u.*, r.name as role_name
        FROM users u
        LEFT JOIN roles r ON u.role_id = r.id
        ${whereClause}
        ${orderClause}
        LIMIT $1 OFFSET $2
      `, [pagination.limit, pagination.offset]),

      this.db.query(`
        SELECT COUNT(*) as total
        FROM users u
        ${whereClause}
      `)
    ]);

    return {
      data: dataResult.rows.map(this.mapToUser),
      total: parseInt(countResult.rows[0].total),
      page: pagination.page,
      limit: pagination.limit
    };
  }
}
```

## 5. Qualité et tests approfondis

### 5.1 Stratégie de tests complète
```typescript
// Tests unitaires avec mocks
describe('UserDomainService', () => {
  let userService: UserDomainService;
  let mockUserRepository: jest.Mocked<IUserRepository>;
  let mockEmailService: jest.Mocked<IEmailService>;

  beforeEach(() => {
    mockUserRepository = {
      create: jest.fn(),
      findByEmail: jest.fn(),
    } as any;

    mockEmailService = {
      sendVerificationEmail: jest.fn(),
    } as any;

    userService = new UserDomainService(
      mockUserRepository,
      mockEmailService,
      mockAuditService
    );
  });

  describe('createUser', () => {
    it('should create user successfully', async () => {
      // Arrange
      const userData = {
        email: 'test@example.com',
        password: 'StrongPassword123!',
        firstName: 'John',
        lastName: 'Doe'
      };

      mockUserRepository.findByEmail.mockResolvedValue(null);
      mockUserRepository.create.mockResolvedValue(mockUser);

      // Act
      const result = await userService.createUser(userData);

      // Assert
      expect(mockUserRepository.create).toHaveBeenCalledWith(
        expect.objectContaining({
          email: userData.email,
          status: UserStatus.PENDING_VERIFICATION
        })
      );
      expect(mockEmailService.sendVerificationEmail).toHaveBeenCalledWith(userData.email);
    });
  });
});
```

### 5.2 Tests d'intégration
```typescript
// Tests d'API avec base de données de test
describe('Users API Integration', () => {
  let app: Application;
  let testDb: TestDatabase;

  beforeAll(async () => {
    testDb = await TestDatabase.create();
    app = createApp({ database: testDb });
  });

  afterAll(async () => {
    await testDb.cleanup();
  });

  describe('POST /api/users', () => {
    it('should create user and return 201', async () => {
      // Arrange
      const userData = {
        email: 'test@example.com',
        password: 'StrongPassword123!',
        firstName: 'John',
        lastName: 'Doe'
      };

      // Act
      const response = await request(app)
        .post('/api/users')
        .send(userData)
        .expect(201);

      // Assert
      expect(response.body.data).toMatchObject({
        email: userData.email,
        firstName: userData.firstName,
        lastName: userData.lastName,
        status: 'PENDING_VERIFICATION'
      });

      // Vérifier en base
      const userInDb = await testDb.query(
        'SELECT * FROM users WHERE email = $1',
        [userData.email]
      );
      expect(userInDb.rows).toHaveLength(1);
    });
  });
});
```

### 5.3 Tests E2E avec Cypress
```typescript
// Tests end-to-end
describe('User Management Flow', () => {
  beforeEach(() => {
    cy.resetDatabase();
    cy.seedTestData();
  });

  it('should allow admin to create, edit and delete users', () => {
    // Login as admin
    cy.login('admin@example.com', 'password');

    // Navigate to users page
    cy.visit('/admin/users');
    cy.get('[data-testid="users-page"]').should('be.visible');

    // Create new user
    cy.get('[data-testid="create-user-btn"]').click();
    cy.get('[data-testid="user-form"]').should('be.visible');

    cy.get('[data-testid="email-input"]').type('newuser@example.com');
    cy.get('[data-testid="firstname-input"]').type('New');
    cy.get('[data-testid="lastname-input"]').type('User');
    cy.get('[data-testid="role-select"]').select('User');

    cy.get('[data-testid="submit-btn"]').click();

    // Verify user was created
    cy.get('[data-testid="success-message"]')
      .should('contain', 'Utilisateur créé avec succès');

    cy.get('[data-testid="users-table"]')
      .should('contain', 'newuser@example.com');
  });
});
```

## 6. Sécurité approfondie

### 6.1 Authentification et autorisation
```typescript
// JWT avec refresh tokens
export class AuthService {
  async authenticateUser(credentials: LoginCredentials): Promise<AuthResult> {
    // Validation et authentification
    const user = await this.validateCredentials(credentials);

    // Génération des tokens
    const accessToken = this.generateAccessToken(user);
    const refreshToken = this.generateRefreshToken(user);

    // Stockage du refresh token
    await this.storeRefreshToken(user.id, refreshToken);

    // Audit de connexion
    await this.auditService.logAuth(user.id, 'LOGIN_SUCCESS');

    return {
      user,
      accessToken,
      refreshToken,
      expiresIn: this.accessTokenTTL
    };
  }

  async refreshAccessToken(refreshToken: string): Promise<RefreshResult> {
    // Validation du refresh token
    const tokenData = await this.validateRefreshToken(refreshToken);

    // Génération nouveau access token
    const newAccessToken = this.generateAccessToken(tokenData.user);

    return {
      accessToken: newAccessToken,
      expiresIn: this.accessTokenTTL
    };
  }
}

// Middleware d'autorisation basé sur les rôles
export const requirePermission = (resource: string, action: string) => {
  return async (req: Request, res: Response, next: NextFunction) => {
    const user = req.user;

    const hasPermission = await permissionService.userHasPermission(
      user.id,
      resource,
      action
    );

    if (!hasPermission) {
      return res.status(403).json({
        error: {
          code: 'INSUFFICIENT_PERMISSIONS',
          message: 'Permission insuffisante pour cette action'
        }
      });
    }

    next();
  };
};
```

### 6.2 Validation et sanitisation
```typescript
// Schémas de validation avec Joi
const userCreationSchema = Joi.object({
  email: Joi.string()
    .email()
    .max(255)
    .required()
    .messages({
      'string.email': 'Format email invalide',
      'string.max': 'Email trop long (max 255 caractères)',
      'any.required': 'Email obligatoire'
    }),

  password: Joi.string()
    .min(8)
    .max(128)
    .pattern(/^(?=.*[a-z])(?=.*[A-Z])(?=.*\d)(?=.*[@$!%*?&])[A-Za-z\d@$!%*?&]/)
    .required()
    .messages({
      'string.min': 'Mot de passe trop court (min 8 caractères)',
      'string.pattern.base': 'Le mot de passe doit contenir au moins: 1 minuscule, 1 majuscule, 1 chiffre, 1 caractère spécial'
    }),

  firstName: Joi.string()
    .trim()
    .min(1)
    .max(100)
    .required(),

  lastName: Joi.string()
    .trim()
    .min(1)
    .max(100)
    .required()
});

// Middleware de validation
export const validateRequest = (schema: Joi.ObjectSchema) => {
  return (req: Request, res: Response, next: NextFunction) => {
    const { error, value } = schema.validate(req.body, {
      abortEarly: false,
      stripUnknown: true
    });

    if (error) {
      return res.status(400).json({
        error: {
          code: 'VALIDATION_ERROR',
          message: 'Données invalides',
          details: error.details.map(detail => ({
            field: detail.path.join('.'),
            message: detail.message
          }))
        }
      });
    }

    req.body = value;
    next();
  };
};
```

## 7. Performance et monitoring

### 7.1 Optimisations performance
```typescript
// Cache Redis pour améliorer les performances
export class CachedUserService {
  constructor(
    private userService: UserDomainService,
    private cache: RedisClient
  ) {}

  async getUser(id: string): Promise<User | null> {
    // Tentative de récupération depuis le cache
    const cacheKey = `user:${id}`;
    const cachedUser = await this.cache.get(cacheKey);

    if (cachedUser) {
      return JSON.parse(cachedUser);
    }

    // Récupération depuis la base de données
    const user = await this.userService.getUser(id);

    if (user) {
      // Mise en cache pour 1 heure
      await this.cache.setex(cacheKey, 3600, JSON.stringify(user));
    }

    return user;
  }
}

// Pagination et filtrage optimisés
export class UserQueryService {
  async searchUsers(filters: UserSearchFilters): Promise<PaginatedResult<User>> {
    // Construction de la requête avec index appropriés
    const query = this.queryBuilder
      .select([
        'u.id',
        'u.email',
        'u.first_name',
        'u.last_name',
        'r.name as role_name'
      ])
      .from('users', 'u')
      .leftJoin('roles', 'r', 'u.role_id = r.id')
      .where('u.deleted_at IS NULL');

    // Application des filtres
    if (filters.email) {
      query.andWhere('u.email ILIKE :email', { email: `%${filters.email}%` });
    }

    if (filters.role) {
      query.andWhere('r.name = :role', { role: filters.role });
    }

    if (filters.status) {
      query.andWhere('u.status = :status', { status: filters.status });
    }

    // Pagination
    const total = await query.getCount();
    const users = await query
      .offset((filters.page - 1) * filters.limit)
      .limit(filters.limit)
      .orderBy('u.created_at', 'DESC')
      .getMany();

    return {
      data: users,
      total,
      page: filters.page,
      limit: filters.limit,
      totalPages: Math.ceil(total / filters.limit)
    };
  }
}
```

### 7.2 Monitoring et observabilité
```typescript
// Métriques custom avec Prometheus
import { register, Counter, Histogram, Gauge } from 'prom-client';

export class MetricsService {
  private httpRequestDuration = new Histogram({
    name: 'http_request_duration_seconds',
    help: 'Duration of HTTP requests in seconds',
    labelNames: ['method', 'route', 'status_code'],
    buckets: [0.1, 0.5, 1, 2, 5]
  });

  private httpRequestsTotal = new Counter({
    name: 'http_requests_total',
    help: 'Total number of HTTP requests',
    labelNames: ['method', 'route', 'status_code']
  });

  private activeConnections = new Gauge({
    name: 'websocket_connections_active',
    help: 'Number of active WebSocket connections'
  });

  recordHttpRequest(method: string, route: string, statusCode: number, duration: number) {
    this.httpRequestsTotal.inc({ method, route, status_code: statusCode });
    this.httpRequestDuration.observe({ method, route, status_code: statusCode }, duration);
  }

  incrementActiveConnections() {
    this.activeConnections.inc();
  }

  decrementActiveConnections() {
    this.activeConnections.dec();
  }
}

// Middleware de monitoring
export const monitoringMiddleware = (metricsService: MetricsService) => {
  return (req: Request, res: Response, next: NextFunction) => {
    const start = Date.now();

    res.on('finish', () => {
      const duration = (Date.now() - start) / 1000;
      metricsService.recordHttpRequest(
        req.method,
        req.route?.path || req.path,
        res.statusCode,
        duration
      );
    });

    next();
  };
};
```

## 8. DevOps et déploiement

### 8.1 Pipeline CI/CD complet
```yaml
# .github/workflows/ci-cd.yml
name: CI/CD Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    services:
      postgres:
        image: postgres:13
        env:
          POSTGRES_PASSWORD: postgres
          POSTGRES_DB: test_db
        options: >-
          --health-cmd pg_isready
          --health-interval 10s
          --health-timeout 5s
          --health-retries 5

    steps:
      - uses: actions/checkout@v3

      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '18'
          cache: 'npm'

      - name: Install dependencies
        run: npm ci

      - name: Run linting
        run: npm run lint

      - name: Run type checking
        run: npm run type-check

      - name: Run unit tests
        run: npm run test:unit
        env:
          CI: true

      - name: Run integration tests
        run: npm run test:integration
        env:
          DATABASE_URL: postgresql://postgres:postgres@localhost:5432/test_db

      - name: Run E2E tests
        run: npm run test:e2e
        env:
          DATABASE_URL: postgresql://postgres:postgres@localhost:5432/test_db

      - name: Generate coverage report
        run: npm run test:coverage

      - name: Upload coverage to Codecov
        uses: codecov/codecov-action@v3

  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Run security audit
        run: npm audit --audit-level=high

      - name: Run SAST scan
        uses: securecodewarrior/github-action-add-sarif@v1
        with:
          sarif-file: 'security-scan.sarif'

  build:
    needs: [test, security-scan]
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Build Docker images
        run: |
          docker build -t myapp/frontend:${{ github.sha }} ./frontend
          docker build -t myapp/backend:${{ github.sha }} ./backend

      - name: Push to registry
        run: |
          echo ${{ secrets.DOCKER_PASSWORD }} | docker login -u ${{ secrets.DOCKER_USERNAME }} --password-stdin
          docker push myapp/frontend:${{ github.sha }}
          docker push myapp/backend:${{ github.sha }}

  deploy-staging:
    needs: build
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/develop'
    steps:
      - name: Deploy to staging
        run: |
          # Déploiement sur l'environnement de staging
          kubectl set image deployment/frontend frontend=myapp/frontend:${{ github.sha }}
          kubectl set image deployment/backend backend=myapp/backend:${{ github.sha }}

  deploy-production:
    needs: build
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    environment: production
    steps:
      - name: Deploy to production
        run: |
          # Déploiement sur l'environnement de production
          kubectl set image deployment/frontend frontend=myapp/frontend:${{ github.sha }}
          kubectl set image deployment/backend backend=myapp/backend:${{ github.sha }}
```

### 8.2 Configuration Kubernetes
```yaml
# k8s/production/deployment.yml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: backend
  namespace: production
spec:
  replicas: 3
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxUnavailable: 1
      maxSurge: 1
  selector:
    matchLabels:
      app: backend
  template:
    metadata:
      labels:
        app: backend
    spec:
      containers:
      - name: backend
        image: myapp/backend:latest
        ports:
        - containerPort: 3000
        env:
        - name: NODE_ENV
          value: "production"
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: app-secrets
              key: database-url
        - name: JWT_SECRET
          valueFrom:
            secretKeyRef:
              name: app-secrets
              key: jwt-secret
        resources:
          requests:
            memory: "256Mi"
            cpu: "250m"
          limits:
            memory: "512Mi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 3000
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /ready
            port: 3000
          initialDelaySeconds: 5
          periodSeconds: 5

---
apiVersion: v1
kind: Service
metadata:
  name: backend-service
  namespace: production
spec:
  selector:
    app: backend
  ports:
  - port: 80
    targetPort: 3000
  type: ClusterIP

---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: app-ingress
  namespace: production
  annotations:
    kubernetes.io/ingress.class: nginx
    cert-manager.io/cluster-issuer: letsencrypt-prod
    nginx.ingress.kubernetes.io/rate-limit: "100"
spec:
  tls:
  - hosts:
    - api.myapp.com
    secretName: api-tls
  rules:
  - host: api.myapp.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: backend-service
            port:
              number: 80
```

## 9. Évolution et maintenance

### 9.1 Roadmap technique
#### Q1 2025
- [ ] Migration vers TypeScript 5.0
- [ ] Upgrade React 18 avec Concurrent Features
- [ ] Implémentation GraphQL
- [ ] Microservices avec Service Mesh

#### Q2 2025
- [ ] Migration cloud-native (Kubernetes)
- [ ] Intégration IA/ML pour recommandations
- [ ] PWA avec support offline
- [ ] Monitoring avancé avec OpenTelemetry

#### Q3 2025
- [ ] Architecture event-driven avec Kafka
- [ ] Support multi-tenant
- [ ] API versioning complet
- [ ] Edge computing avec CDN

### 9.2 Plan de migration
```typescript
// Migration de données avec versioning
export class MigrationService {
  async migrateToV2(): Promise<void> {
    const batch = await this.getMigrationBatch();

    for (const user of batch) {
      try {
        // Transformation des données
        const v2User = this.transformUserToV2(user);

        // Sauvegarde avec nouvelle structure
        await this.saveV2User(v2User);

        // Marquer comme migré
        await this.markAsMigrated(user.id);

      } catch (error) {
        await this.logMigrationError(user.id, error);
      }
    }
  }

  private transformUserToV2(v1User: V1User): V2User {
    return {
      id: v1User.id,
      profile: {
        email: v1User.email,
        firstName: v1User.firstName,
        lastName: v1User.lastName,
        avatar: v1User.avatar
      },
      preferences: {
        language: v1User.language || 'fr',
        timezone: v1User.timezone || 'Europe/Paris',
        notifications: {
          email: v1User.emailNotifications ?? true,
          push: false
        }
      },
      createdAt: v1User.createdAt,
      updatedAt: new Date()
    };
  }
}
```

## 10. Documentation et formation

### 10.1 Documentation technique complète
- [ ] Architecture Decision Records (ADR)
- [ ] API Documentation (OpenAPI 3.0)
- [ ] Code documentation (JSDoc/TSDoc)
- [ ] Runbooks opérationnels
- [ ] Guide de contribution

### 10.2 Documentation utilisateur
- [ ] Guide d'onboarding
- [ ] Manuel utilisateur complet
- [ ] FAQ interactive
- [ ] Tutoriels vidéo
- [ ] Base de connaissances

### 10.3 Formation équipe
- [ ] Sessions de formation technique
- [ ] Code reviews guidelines
- [ ] Best practices documentation
- [ ] Mentoring plan
- [ ] Certification interne

## 11. Mesures de succès

### 11.1 KPIs techniques
- **Performance** : P95 response time < 500ms
- **Disponibilité** : SLA 99.9%
- **Qualité** : Code coverage > 90%
- **Sécurité** : 0 vulnérabilité critique

### 11.2 KPIs business
- **Adoption** : 80% des utilisateurs actifs mensuels
- **Satisfaction** : NPS > 50
- **Support** : < 2% de tickets critiques
- **ROI** : Retour sur investissement en 18 mois

## 12. Journal détaillé du projet

### [Date] - Kickoff projet
[Notes sur le lancement, équipe, planning]

### [Date] - Architecture review
[Décisions architecturales, trade-offs, consensus équipe]

### [Date] - Milestone 1
[Réalisations, défis, ajustements nécessaires]

### [Date] - Production deployment
[Métriques de lancement, feedback utilisateurs, actions correctives]

## 13. Annexes techniques

### Annexe A : Schémas de base de données complets
### Annexe B : Diagrammes d'architecture
### Annexe C : Spécifications d'API détaillées
### Annexe D : Guide de déploiement
### Annexe E : Procédures de récupération après incident