Introduced the SepehrPaymentGateway to replace the previous
payment gateway, AqayePardakht. Added `Rrn` and `DigitalReceipt`
columns to the `PaymentTransactions` table for improved payment
tracking and verification. Updated the Entity Framework model
and mappings to reflect these changes.
Refactored payment transaction logic to support the new gateway,
including creating, verifying, and handling payments. Added new
request/response models for Sepehr gateway integration. Enhanced
error handling and financial statement creation upon successful
payment verification. Removed legacy code and updated dependency
injection for the Parbad library.
Added Parbad libraries and configured Sepehr gateway in `Program.cs`
and `appsettings.json`. Implemented payment request and verification
logic in `Index.cshtml.cs` and `GeneralController`. Updated
`ServiceHost.csproj` with required dependencies. Refactored roll call
logic and removed unused URLs in `launchSettings.json`. Enhanced
services with memory cache storage and added `Bogus` for data
generation.
Added `Parbad.Gateway.Sepehr` package to enable Sepehr payment gateway integration. Updated `Index.cshtml.cs` to handle online payment requests using `IOnlinePayment`. Configured Sepehr gateway in `Program.cs` with terminal ID from `appsettings.Development.json`. Enabled Swagger for development builds.
Refactored `EmployeeUploadPicture.cshtml.cs` to improve readability, maintainability, and modularity. Introduced `_httpClientFactory` for HTTP requests and added `SendEmbeddingsToApi` for Python API integration. Enhanced employee-related operations, including activation, image handling, and settings management.
Added `IFaceEmbeddingService` interface and implemented it in `FaceEmbeddingService` to manage face embeddings. Integrated with a Python API for generating, refining, deleting, and retrieving embeddings. Included robust error handling and detailed logging.
Improved code structure, reduced duplication, and added comments for better debugging and future development.
Add face embedding integration for employee management
Introduced `IFaceEmbeddingService` and its implementation to manage
face embeddings via a Python API. Integrated embedding generation
into `EmployeeApplication` and `EmployeeUploadPictureModel`,
enabling image uploads, embedding creation, and validation.
Refactored `EmployeeUploadPictureModel` for clarity, adding methods
to handle image processing, API interactions, and employee
activation/deactivation with embedding checks. Enhanced error
handling, logging, and user feedback.
Removed legacy code and updated dependencies to include
`IHttpClientFactory` and `IFaceEmbeddingService`. Added localized
error messages and improved maintainability by streamlining code.
