Implement company AI onboarding/recommendation models, services, repository, and tender UI integration with supporting tests.
Co-authored-by: Cursor <cursoragent@cursor.com>
- Introduced a .dockerignore file to optimize Docker builds by excluding unnecessary files.
- Updated the Dockerfile to use a Flutter base image, enabling web builds for the application.
- Added new data models for `Lot` and `OrganizationAddress` to represent tender details more accurately.
- Enhanced the `Organization` model to include `companyId` and a nested `address` field.
- Updated the `TenderData` model to include new fields such as `noticeTypeCode`, `formType`, and `lots`, reflecting the API response structure.
- Regenerated necessary code for data models to ensure compatibility with the updated structures.
- Updated TendersRepository and TendersService to support cursor-based pagination.
- Modified TendersViewModel to manage pagination state and handle API responses more effectively.
- Replaced existing pagination UI components with a new WindowedPagination widget across desktop, mobile, and tablet views.
- Improved notification handling in the UI to reflect the presence of notifications dynamically.
- Adjusted main tenders slider to ensure proper rendering based on the current page index.
AmirReza Jamali