mirror of
https://github.com/DRYTRIX/TimeTracker.git
synced 2026-05-06 20:40:38 -05:00
Dries Peeters
9d1ece5263
This commit implements a complete architectural transformation of the TimeTracker application, introducing modern design patterns and comprehensive feature set. ## Architecture Improvements ### Service Layer (18 Services) - TimeTrackingService: Time entry management with timer functionality - ProjectService: Project operations and lifecycle management - InvoiceService: Invoice creation, management, and status tracking - TaskService: Task management and workflow - ExpenseService: Expense tracking and categorization - ClientService: Client relationship management - PaymentService: Payment processing and invoice reconciliation - CommentService: Comment system for projects, tasks, and quotes - UserService: User management and role operations - NotificationService: Notification delivery system - ReportingService: Report generation and analytics - AnalyticsService: Event tracking and analytics - ExportService: CSV export functionality - ImportService: CSV import with validation - EmailService: Email operations and invoice delivery - PermissionService: Role-based permission management - BackupService: Database backup operations - HealthService: System health checks and monitoring ### Repository Layer (9 Repositories) - BaseRepository: Generic CRUD operations - TimeEntryRepository: Time entry data access - ProjectRepository: Project data access with filtering - InvoiceRepository: Invoice queries and status management - TaskRepository: Task data access - ExpenseRepository: Expense data access - ClientRepository: Client data access - UserRepository: User data access - PaymentRepository: Payment data access - CommentRepository: Comment data access ### Schema Layer (9 Schemas) - Marshmallow schemas for validation and serialization - Create, update, and full schemas for all entities - Input validation and data transformation ### Utility Modules (15 Utilities) - api_responses: Standardized API response helpers - validation: Input validation utilities - query_optimization: N+1 query prevention and eager loading - error_handlers: Centralized error handling - cache: Caching foundation (Redis-ready) - transactions: Transaction management decorators - event_bus: Domain event system - performance: Performance monitoring decorators - logger: Enhanced structured logging - pagination: Pagination utilities - file_upload: Secure file upload handling - search: Full-text search utilities - rate_limiting: Rate limiting helpers - config_manager: Configuration management - datetime_utils: Enhanced date/time utilities ## Database Improvements - Performance indexes migration (15+ indexes) - Query optimization utilities - N+1 query prevention patterns ## Testing Infrastructure - Comprehensive test fixtures (conftest.py) - Service layer unit tests - Repository layer unit tests - Integration test examples ## CI/CD Pipeline - GitHub Actions workflow - Automated linting (Black, Flake8, Pylint) - Security scanning (Bandit, Safety, Semgrep) - Automated testing with coverage - Docker image builds ## Documentation - Architecture migration guide - Quick start guide - API enhancements documentation - Implementation summaries - Refactored route examples ## Key Benefits - Separation of concerns: Business logic decoupled from routes - Testability: Services and repositories can be tested in isolation - Maintainability: Consistent patterns across codebase - Performance: Database indexes and query optimization - Security: Input validation and security scanning - Scalability: Event-driven architecture and health checks ## Statistics - 70+ new files created - 8,000+ lines of code - 18 services, 9 repositories, 9 schemas - 15 utility modules - 5 test files with examples This transformation establishes a solid foundation for future development and follows industry best practices for maintainable, scalable applications.
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
"""
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Schema/DTO layer for API serialization and validation.
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Uses Marshmallow for consistent API responses and input validation.
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"""
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from .time_entry_schema import TimeEntrySchema, TimeEntryCreateSchema, TimeEntryUpdateSchema
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from .project_schema import ProjectSchema, ProjectCreateSchema, ProjectUpdateSchema
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from .invoice_schema import InvoiceSchema, InvoiceCreateSchema, InvoiceUpdateSchema
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from .task_schema import TaskSchema, TaskCreateSchema, TaskUpdateSchema
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from .expense_schema import ExpenseSchema, ExpenseCreateSchema, ExpenseUpdateSchema
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from .client_schema import ClientSchema, ClientCreateSchema, ClientUpdateSchema
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from .payment_schema import PaymentSchema, PaymentCreateSchema, PaymentUpdateSchema
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from .comment_schema import CommentSchema, CommentCreateSchema, CommentUpdateSchema
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from .user_schema import UserSchema, UserCreateSchema, UserUpdateSchema
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__all__ = [
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'TimeEntrySchema',
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'TimeEntryCreateSchema',
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'TimeEntryUpdateSchema',
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'ProjectSchema',
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'ProjectCreateSchema',
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'ProjectUpdateSchema',
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'InvoiceSchema',
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'InvoiceCreateSchema',
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'InvoiceUpdateSchema',
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'TaskSchema',
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'TaskCreateSchema',
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'TaskUpdateSchema',
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'ExpenseSchema',
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'ExpenseCreateSchema',
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'ExpenseUpdateSchema',
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'ClientSchema',
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'ClientCreateSchema',
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'ClientUpdateSchema',
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'PaymentSchema',
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'PaymentCreateSchema',
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'PaymentUpdateSchema',
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'CommentSchema',
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'CommentCreateSchema',
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'CommentUpdateSchema',
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'UserSchema',
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'UserCreateSchema',
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'UserUpdateSchema',
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]
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