- Implemented DTOs for KPIs, activity items, chart data points, and dashboard statistics.
- Created API routes for fetching dashboard statistics, operations overview, and inventory metrics.
- Developed a service layer to handle the logic for generating dashboard statistics, including invoice metrics, client/provider metrics, and recent activity.
- Added frontend API client methods for fetching dashboard data.
- Created TypeScript types for dashboard data structures.
- Developed Svelte components for displaying recent activity, KPI cards, trend charts, and donut charts.
- Added new schemas for FA line items in the backend, including creation, update, and response DTOs.
- Updated existing line item schemas to include FA data.
- Modified database models to reflect new table names for line quantities and references.
- Enhanced ItemService to handle FA data during item creation and updates.
- Introduced new routes and service layer for FA line items, including CRUD operations.
- Updated frontend components to support FA line item data, including new fields and UI adjustments.
- Implemented data flattening for improved item display in the dashboard.
- Added a trailing slash to the GET, POST, PUT, and DELETE requests for incoterms, invoice types, material types, payment methods, pedimento codes, pedimento regimens, sectors, states, transport modes, transport types, and valuation methods APIs.
- Ensured that the pagination endpoints include a leading slash before query parameters.
- Implemented interfaces for UnitOfMeasure, UnitOfMeasureListResponse, CreateUnitOfMeasureData, and UpdateUnitOfMeasureData.
- Added API methods for listing, retrieving, creating, updating, and deleting units of measure.
- Included pagination support for the list method.
- Updated schemas in `schemas.py` to enhance readability by aligning field definitions and descriptions.
- Consolidated optional fields and improved default values for better data handling.
- Modified the `InvoiceService` class in `services.py` to streamline error handling and data extraction for nested invoice components.
- Ensured that nested data is processed correctly before creating invoice entries, improving overall service reliability.
- Updated the Part model in models.py to improve readability and maintainability by organizing imports and formatting.
- Enhanced relationships in the Part model for better clarity.
- Modified main.py to streamline imports for parts and related models.
- Adjusted partForm.svelte to correctly reference properties from inv_data and fa_data.
- Updated +page.svelte to fix the import path for DataTable and refine data handling.
- Changed edit/[[id]]/+page.svelte to enforce type safety for the 'type' variable.
