- Implemented `InvoicingPeriodPaginationTest` for testing period pagination modes, normalization of options, search functionality, and visibility filters.
- Added comprehensive tests to validate scenarios such as active period views, exact counts, and customer-card level search.
- Improved cURL timeout settings with `CURLOPT_CONNECTTIMEOUT` and `CURLOPT_TIMEOUT` adjustments.
- Introduced and documented helper classes/methods for local caching, pagination response structure, and customer name retrieval.
- Introduced `invoice_period_flag_schema_bootstrap` to initialize the schema for invoice period flags.
- Added `invoice_period_flag_service` to handle manual and automatic flag creation, updates, filtering, and context resolution.
- Implemented lifecycle methods such as `createManualFlag`, `updateAutomaticFlagStatus`, and `applyFlagsToPeriodTypes` for handling invoice period flags and their usage in processing periods.
- Included context-specific resolution methods for efficient flag management in invoicing workflows.
- Introduced `getProductDiscountPercentage` method to calculate accurate discounts for users across products, categories, and global settings.
- Adjusted `importUsageLogs` to refine date modifier parameter and enhance `usage log` checks.
- Enhanced `orders_o` to include product discount logic with stricter type casting for consistency.
- Added `updateFieldsWhere` method for selective database updates based on specific conditions.
- Updated `customers_o` to handle updates for existing customers while adding new ones.
- Improved null safety by updating product ID retrieval logic in parsers and usage logs.
- Enhanced primary wash item selection with stricter checks for valid product types.
- Adjusted import date modifier in `importUsageLogs` for extended range (`-7 day`).
- Streamlined product and user association in order creation with additional validations.
- Removed redundant checks and refined permission handling in import tasks.
Jeppe Bundgaard