mirror of
https://github.com/DRYTRIX/TimeTracker.git
synced 2026-05-07 13:00:22 -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
2.0 KiB
Python
46 lines
2.0 KiB
Python
"""
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Schemas for client serialization and validation.
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"""
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from marshmallow import Schema, fields, validate
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from decimal import Decimal
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class ClientSchema(Schema):
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"""Schema for client serialization"""
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id = fields.Int(dump_only=True)
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name = fields.Str(required=True, validate=validate.Length(max=200))
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email = fields.Email(allow_none=True)
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company = fields.Str(allow_none=True, validate=validate.Length(max=200))
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phone = fields.Str(allow_none=True, validate=validate.Length(max=50))
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address = fields.Str(allow_none=True)
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default_hourly_rate = fields.Decimal(allow_none=True, places=2)
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status = fields.Str(validate=validate.OneOf(['active', 'inactive', 'archived']))
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created_at = fields.DateTime(dump_only=True)
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updated_at = fields.DateTime(dump_only=True)
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# Nested fields
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projects = fields.Nested('ProjectSchema', many=True, dump_only=True, allow_none=True)
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class ClientCreateSchema(Schema):
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"""Schema for creating a client"""
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name = fields.Str(required=True, validate=validate.Length(min=1, max=200))
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email = fields.Email(allow_none=True)
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company = fields.Str(allow_none=True, validate=validate.Length(max=200))
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phone = fields.Str(allow_none=True, validate=validate.Length(max=50))
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address = fields.Str(allow_none=True)
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default_hourly_rate = fields.Decimal(allow_none=True, places=2, validate=validate.Range(min=Decimal('0')))
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class ClientUpdateSchema(Schema):
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"""Schema for updating a client"""
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name = fields.Str(allow_none=True, validate=validate.Length(min=1, max=200))
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email = fields.Email(allow_none=True)
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company = fields.Str(allow_none=True, validate=validate.Length(max=200))
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phone = fields.Str(allow_none=True, validate=validate.Length(max=50))
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address = fields.Str(allow_none=True)
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default_hourly_rate = fields.Decimal(allow_none=True, places=2, validate=validate.Range(min=Decimal('0')))
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status = fields.Str(allow_none=True, validate=validate.OneOf(['active', 'inactive', 'archived']))
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