Merge branch 'Feature/InstitutionContract/add-workshop-totalAmount-to-list' into Main

This commit is contained in:
2025-11-17 17:12:21 +03:30
59 changed files with 58906 additions and 769 deletions

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@@ -0,0 +1,25 @@
using System.Threading.Tasks;
namespace _0_Framework.Application.FaceEmbedding;
/// <summary>
/// سرویس اطلاع‌رسانی تغییرات Face Embedding
/// </summary>
public interface IFaceEmbeddingNotificationService
{
/// <summary>
/// اطلاع‌رسانی ایجاد یا به‌روزرسانی Embedding
/// </summary>
Task NotifyEmbeddingCreatedAsync(long workshopId, long employeeId, string employeeFullName);
/// <summary>
/// اطلاع‌رسانی حذف Embedding
/// </summary>
Task NotifyEmbeddingDeletedAsync(long workshopId, long employeeId);
/// <summary>
/// اطلاع‌رسانی بهبود Embedding
/// </summary>
Task NotifyEmbeddingRefinedAsync(long workshopId, long employeeId);
}

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@@ -0,0 +1,24 @@
using System.Collections.Generic;
using System.IO;
using System.Threading.Tasks;
namespace _0_Framework.Application.FaceEmbedding;
public interface IFaceEmbeddingService
{
Task<OperationResult> GenerateEmbeddingsAsync(long employeeId, long workshopId, string employeeFullName, string picture1Path, string picture2Path);
Task<OperationResult> GenerateEmbeddingsFromStreamAsync(long employeeId, long workshopId, string employeeFullName, Stream picture1Stream, Stream picture2Stream);
Task<OperationResult> RefineEmbeddingAsync(long employeeId, long workshopId, float[] embedding, float confidence, Dictionary<string, object> metadata = null);
Task<OperationResult> DeleteEmbeddingAsync(long employeeId, long workshopId);
Task<OperationResult<FaceEmbeddingResponse>> GetEmbeddingAsync(long employeeId, long workshopId);
}
public class FaceEmbeddingResponse
{
public long EmployeeId { get; set; }
public long WorkshopId { get; set; }
public string EmployeeFullName { get; set; }
public float[] Embedding { get; set; }
public float Confidence { get; set; }
public Dictionary<string, object> Metadata { get; set; }
}

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@@ -29,9 +29,11 @@ public class PaymentGatewayResponse
public int? ErrorCode { get; set; }
[JsonPropertyName("transid")]
public string TransactionId { get; set; }
public string Token { get; set; }
public bool IsSuccess => Status == "success";
public bool IsSuccess { get; set; }
public string Message { get; set; }
}
public class WalletAmountResponse
@@ -53,10 +55,12 @@ public class CreatePaymentGatewayRequest
public string Mobile { get; set; }
public string Email { get; set; }
public string Description { get; set; }
public IDictionary<string, object> ExtraData { get; set; }
}
public class VerifyPaymentGateWayRequest
{
public string TransactionId { get; set; }
public string DigitalReceipt { get; set; }
public string TransactionId { get; set; }
public double Amount { get; set; }
}

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using System;
using System.Net.Http;
using System.Net.Http.Json;
using System.Threading;
using System.Threading.Tasks;
using Newtonsoft.Json;
namespace _0_Framework.Application.PaymentGateway;
public class SepehrPaymentGateway:IPaymentGateway
{
private readonly HttpClient _httpClient;
private const long TerminalId = 99213700;
public SepehrPaymentGateway(IHttpClientFactory httpClient)
{
_httpClient = httpClient.CreateClient();
_httpClient.BaseAddress = new Uri("https://sepehr.shaparak.ir/Rest/V1/PeymentApi/");
}
public async Task<PaymentGatewayResponse> Create(CreatePaymentGatewayRequest command, CancellationToken cancellationToken = default)
{
var extraData = JsonConvert.SerializeObject(command.ExtraData);
var res = await _httpClient.PostAsJsonAsync("GetToken", new
{
TerminalID = TerminalId,
Amount = command.Amount,
InvoiceID = command.InvoiceId,
callbackURL = command.CallBackUrl,
payload = extraData
}, cancellationToken: cancellationToken);
// خواندن محتوای پاسخ
var content = await res.Content.ReadAsStringAsync(cancellationToken);
// تبدیل پاسخ JSON به آبجکت دات‌نت
var json = System.Text.Json.JsonDocument.Parse(content);
// گرفتن مقدار AccessToken
var accessToken = json.RootElement.GetProperty("Accesstoken").ToString();
var status = json.RootElement.GetProperty("Status").ToString();
return new PaymentGatewayResponse
{
Status = status,
IsSuccess = status == "0",
Token = accessToken
};
}
public string GetStartPayUrl(string token)=>
$"https://sepehr.shaparak.ir/Payment/Pay?token={token}&terminalId={TerminalId}";
public async Task<PaymentGatewayResponse> Verify(VerifyPaymentGateWayRequest command, CancellationToken cancellationToken = default)
{
var res = await _httpClient.PostAsJsonAsync("Advice", new
{
digitalreceipt = command.DigitalReceipt,
Tid = TerminalId,
}, cancellationToken: cancellationToken);
// خواندن محتوای پاسخ
var content = await res.Content.ReadAsStringAsync(cancellationToken);
// تبدیل پاسخ JSON به آبجکت دات‌نت
var json = System.Text.Json.JsonDocument.Parse(content);
var message = json.RootElement.GetProperty("Message").GetString();
var status = json.RootElement.GetProperty("Status").GetString();
return new PaymentGatewayResponse
{
Status = status,
IsSuccess = status.ToLower() == "ok",
Message = message
};
}
public Task<PaymentGatewayResponse> CreateSandBox(CreatePaymentGatewayRequest command, CancellationToken cancellationToken = default)
{
throw new System.NotImplementedException();
}
public string GetStartPaySandBoxUrl(string transactionId)
{
throw new System.NotImplementedException();
}
public Task<WalletAmountResponse> GetWalletAmount(CancellationToken cancellationToken)
{
throw new System.NotImplementedException();
}
}

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@@ -0,0 +1,346 @@
using System;
using System.Collections.Generic;
using System.IO;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Net.Http.Json;
using System.Text.Json;
using _0_Framework.Application;
using _0_Framework.Application.FaceEmbedding;
using Microsoft.Extensions.Logging;
using Microsoft.Extensions.Http;
using System.Threading.Tasks;
namespace _0_Framework.Infrastructure;
/// <summary>
/// پیاده‌سازی سرویس ارتباط با API پایتون برای مدیریت Embeddings چهره
/// </summary>
public class FaceEmbeddingService : IFaceEmbeddingService
{
private readonly IHttpClientFactory _httpClientFactory;
private readonly ILogger<FaceEmbeddingService> _logger;
private readonly IFaceEmbeddingNotificationService _notificationService;
private readonly string _apiBaseUrl;
public FaceEmbeddingService(IHttpClientFactory httpClientFactory, ILogger<FaceEmbeddingService> logger,
IFaceEmbeddingNotificationService notificationService = null)
{
_httpClientFactory = httpClientFactory;
_logger = logger;
_notificationService = notificationService;
_apiBaseUrl = "http://localhost:8000";
}
public async Task<OperationResult> GenerateEmbeddingsAsync(long employeeId, long workshopId,
string employeeFullName, string picture1Path, string picture2Path)
{
try
{
var httpClient = _httpClientFactory.CreateClient();
httpClient.BaseAddress = new Uri(_apiBaseUrl);
httpClient.Timeout = TimeSpan.FromSeconds(30);
using var content = new MultipartFormDataContent();
// Add form fields
content.Add(new StringContent(employeeId.ToString()), "employee_id");
content.Add(new StringContent(workshopId.ToString()), "workshop_id");
content.Add(new StringContent(employeeFullName ?? ""), "employee_full_name");
// Add picture files
if (File.Exists(picture1Path))
{
var picture1Bytes = await File.ReadAllBytesAsync(picture1Path);
var picture1Content = new ByteArrayContent(picture1Bytes);
picture1Content.Headers.ContentType = new MediaTypeHeaderValue("image/jpeg");
content.Add(picture1Content, "picture1", "1.jpg");
}
else
{
_logger.LogWarning("Picture1 not found at path: {Path}", picture1Path);
return new OperationResult { IsSuccedded = false, Message = "تصویر اول یافت نشد" };
}
if (File.Exists(picture2Path))
{
var picture2Bytes = await File.ReadAllBytesAsync(picture2Path);
var picture2Content = new ByteArrayContent(picture2Bytes);
picture2Content.Headers.ContentType = new MediaTypeHeaderValue("image/jpeg");
content.Add(picture2Content, "picture2", "2.jpg");
}
else
{
_logger.LogWarning("Picture2 not found at path: {Path}", picture2Path);
return new OperationResult { IsSuccedded = false, Message = "تصویر دوم یافت نشد" };
}
// Send request to Python API
var response = await httpClient.PostAsync("embeddings", content);
if (response.IsSuccessStatusCode)
{
var responseContent = await response.Content.ReadAsStringAsync();
_logger.LogInformation("Embeddings generated successfully for Employee {EmployeeId}, Workshop {WorkshopId}",
employeeId, workshopId);
// ارسال اطلاع‌رسانی به سایر سیستم‌ها
if (_notificationService != null)
{
await _notificationService.NotifyEmbeddingCreatedAsync(workshopId, employeeId, employeeFullName);
}
return new OperationResult
{
IsSuccedded = true,
Message = "Embedding با موفقیت ایجاد شد"
};
}
else
{
var errorContent = await response.Content.ReadAsStringAsync();
_logger.LogError("Failed to generate embeddings. Status: {StatusCode}, Error: {Error}",
response.StatusCode, errorContent);
return new OperationResult
{
IsSuccedded = false,
Message = $"خطا در تولید Embedding: {response.StatusCode}"
};
}
}
catch (HttpRequestException ex)
{
_logger.LogError(ex, "HTTP error while calling embeddings API for Employee {EmployeeId}", employeeId);
return new OperationResult
{
IsSuccedded = false,
Message = "خطا در ارتباط با سرور Embedding"
};
}
catch (Exception ex)
{
_logger.LogError(ex, "Error while calling embeddings API for Employee {EmployeeId}", employeeId);
return new OperationResult
{
IsSuccedded = false,
Message = "خطای غیرمنتظره در تولید Embedding"
};
}
}
public async Task<OperationResult> GenerateEmbeddingsFromStreamAsync(long employeeId, long workshopId,
string employeeFullName, Stream picture1Stream, Stream picture2Stream)
{
try
{
var httpClient = _httpClientFactory.CreateClient();
httpClient.BaseAddress = new Uri(_apiBaseUrl);
httpClient.Timeout = TimeSpan.FromSeconds(30);
using var content = new MultipartFormDataContent();
// Add form fields
content.Add(new StringContent(employeeId.ToString()), "employee_id");
content.Add(new StringContent(workshopId.ToString()), "workshop_id");
content.Add(new StringContent(employeeFullName ?? ""), "employee_full_name");
// Add picture streams
var picture1Content = new StreamContent(picture1Stream);
picture1Content.Headers.ContentType = new MediaTypeHeaderValue("image/jpeg");
content.Add(picture1Content, "picture1", "1.jpg");
var picture2Content = new StreamContent(picture2Stream);
picture2Content.Headers.ContentType = new MediaTypeHeaderValue("image/jpeg");
content.Add(picture2Content, "picture2", "2.jpg");
// Send request to Python API
var response = await httpClient.PostAsync("embeddings", content);
if (response.IsSuccessStatusCode)
{
_logger.LogInformation("Embeddings generated successfully from streams for Employee {EmployeeId}", employeeId);
// ارسال اطلاع‌رسانی به سایر سیستم‌ها
if (_notificationService != null)
{
await _notificationService.NotifyEmbeddingCreatedAsync(workshopId, employeeId, employeeFullName);
}
return new OperationResult { IsSuccedded = true, Message = "Embedding با موفقیت ایجاد شد" };
}
else
{
var errorContent = await response.Content.ReadAsStringAsync();
_logger.LogError("Failed to generate embeddings from streams. Status: {StatusCode}, Error: {Error}",
response.StatusCode, errorContent);
return new OperationResult
{
IsSuccedded = false,
Message = $"خطا در تولید Embedding: {response.StatusCode}"
};
}
}
catch (Exception ex)
{
_logger.LogError(ex, "Error while generating embeddings from streams for Employee {EmployeeId}", employeeId);
return new OperationResult
{
IsSuccedded = false,
Message = "خطا در تولید Embedding"
};
}
}
public async Task<OperationResult> RefineEmbeddingAsync(long employeeId, long workshopId, float[] embedding,
float confidence, Dictionary<string, object> metadata = null)
{
try
{
var httpClient = _httpClientFactory.CreateClient();
httpClient.BaseAddress = new Uri(_apiBaseUrl);
httpClient.Timeout = TimeSpan.FromSeconds(30);
var requestBody = new
{
employeeId,
workshopId,
embedding,
confidence,
metadata = metadata ?? new Dictionary<string, object>()
};
var response = await httpClient.PostAsJsonAsync("embeddings/refine", requestBody);
if (response.IsSuccessStatusCode)
{
_logger.LogInformation("Embedding refined successfully for Employee {EmployeeId}", employeeId);
// ارسال اطلاع‌رسانی به سایر سیستم‌ها
if (_notificationService != null)
{
await _notificationService.NotifyEmbeddingRefinedAsync(workshopId, employeeId);
}
return new OperationResult { IsSuccedded = true, Message = "Embedding بهبود یافت" };
}
else
{
var errorContent = await response.Content.ReadAsStringAsync();
_logger.LogError("Failed to refine embedding. Status: {StatusCode}, Error: {Error}",
response.StatusCode, errorContent);
return new OperationResult
{
IsSuccedded = false,
Message = $"خطا در بهبود Embedding: {response.StatusCode}"
};
}
}
catch (Exception ex)
{
_logger.LogError(ex, "Error while refining embedding for Employee {EmployeeId}", employeeId);
return new OperationResult
{
IsSuccedded = false,
Message = "خطا در بهبود Embedding"
};
}
}
public async Task<OperationResult> DeleteEmbeddingAsync(long employeeId, long workshopId)
{
try
{
var httpClient = _httpClientFactory.CreateClient();
httpClient.BaseAddress = new Uri(_apiBaseUrl);
httpClient.Timeout = TimeSpan.FromSeconds(30);
var response = await httpClient.DeleteAsync($"embeddings/{workshopId}/{employeeId}");
if (response.IsSuccessStatusCode)
{
_logger.LogInformation("Embedding deleted successfully for Employee {EmployeeId}", employeeId);
// ارسال اطلاع‌رسانی به سایر سیستم‌ها
if (_notificationService != null)
{
await _notificationService.NotifyEmbeddingDeletedAsync(workshopId, employeeId);
}
return new OperationResult { IsSuccedded = true, Message = "Embedding حذف شد" };
}
else
{
var errorContent = await response.Content.ReadAsStringAsync();
_logger.LogError("Failed to delete embedding. Status: {StatusCode}, Error: {Error}",
response.StatusCode, errorContent);
return new OperationResult
{
IsSuccedded = false,
Message = $"خطا در حذف Embedding: {response.StatusCode}"
};
}
}
catch (Exception ex)
{
_logger.LogError(ex, "Error while deleting embedding for Employee {EmployeeId}", employeeId);
return new OperationResult
{
IsSuccedded = false,
Message = "خطا در حذف Embedding"
};
}
}
public async Task<OperationResult<FaceEmbeddingResponse>> GetEmbeddingAsync(long employeeId, long workshopId)
{
try
{
var httpClient = _httpClientFactory.CreateClient();
httpClient.BaseAddress = new Uri(_apiBaseUrl);
httpClient.Timeout = TimeSpan.FromSeconds(30);
var response = await httpClient.GetAsync($"embeddings/{workshopId}/{employeeId}");
if (response.IsSuccessStatusCode)
{
var content = await response.Content.ReadAsStringAsync();
var embeddingData = JsonSerializer.Deserialize<FaceEmbeddingResponse>(content,
new JsonSerializerOptions { PropertyNameCaseInsensitive = true });
_logger.LogInformation("Embedding retrieved successfully for Employee {EmployeeId}", employeeId);
return new OperationResult<FaceEmbeddingResponse>
{
IsSuccedded = true,
Message = "Embedding دریافت شد",
Data = embeddingData
};
}
else
{
var errorContent = await response.Content.ReadAsStringAsync();
_logger.LogError("Failed to get embedding. Status: {StatusCode}, Error: {Error}",
response.StatusCode, errorContent);
return new OperationResult<FaceEmbeddingResponse>
{
IsSuccedded = false,
Message = $"خطا در دریافت Embedding: {response.StatusCode}"
};
}
}
catch (Exception ex)
{
_logger.LogError(ex, "Error while getting embedding for Employee {EmployeeId}", employeeId);
return new OperationResult<FaceEmbeddingResponse>
{
IsSuccedded = false,
Message = "خطا در دریافت Embedding"
};
}
}
}

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using System.Threading.Tasks;
using _0_Framework.Application.FaceEmbedding;
namespace _0_Framework.InfraStructure;
/// <summary>
/// پیاده‌سازی پیش‌فرض (بدون عملیات) برای IFaceEmbeddingNotificationService
/// این کلاس زمانی استفاده می‌شود که SignalR در دسترس نباشد
/// </summary>
public class NullFaceEmbeddingNotificationService : IFaceEmbeddingNotificationService
{
public Task NotifyEmbeddingCreatedAsync(long workshopId, long employeeId, string employeeFullName)
{
// هیچ عملیاتی انجام نمی‌دهد
return Task.CompletedTask;
}
public Task NotifyEmbeddingDeletedAsync(long workshopId, long employeeId)
{
// هیچ عملیاتی انجام نمی‌دهد
return Task.CompletedTask;
}
public Task NotifyEmbeddingRefinedAsync(long workshopId, long employeeId)
{
// هیچ عملیاتی انجام نمی‌دهد
return Task.CompletedTask;
}
}