feat(api): .NET 10 multi-tenant REST API

Full backend implementation:
- Multi-tenant cafe/restaurant management (menus, orders, tables, staff)
- POS order flow with ZarinPal and Snappfood payment integration
- OTP authentication via Kavenegar SMS
- QR digital menu with public discover/finder endpoints
- Customer loyalty, coupons, CRM
- PostgreSQL via EF Core, Redis for caching/sessions
- Background jobs, webhook handlers
- Full migration history

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
soroush.asadi
2026-05-27 21:33:48 +03:30
parent 03376b3ea1
commit ef15fd6247
472 changed files with 120358 additions and 0 deletions
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using System.Net.Http.Headers;
using System.Text;
using System.Text.Json;
using System.Text.Json.Serialization;
using Meezi.Core.Interfaces;
using Meezi.Core.Platform;
namespace Meezi.API.Services;
public interface IOpenAiChatService
{
Task<bool> IsConfiguredForCoffeeAdvisorAsync(CancellationToken cancellationToken = default);
Task<string?> CompleteJsonAsync(string systemPrompt, string userPrompt, CancellationToken cancellationToken = default);
}
public class OpenAiChatService : IOpenAiChatService
{
private static readonly JsonSerializerOptions JsonOpts = new()
{
PropertyNameCaseInsensitive = true,
DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull
};
private readonly IHttpClientFactory _httpClientFactory;
private readonly IPlatformRuntimeConfig _platform;
private readonly IConfiguration _configuration;
private readonly ILogger<OpenAiChatService> _logger;
public OpenAiChatService(
IHttpClientFactory httpClientFactory,
IPlatformRuntimeConfig platform,
IConfiguration configuration,
ILogger<OpenAiChatService> logger)
{
_httpClientFactory = httpClientFactory;
_platform = platform;
_configuration = configuration;
_logger = logger;
}
public async Task<bool> IsConfiguredForCoffeeAdvisorAsync(CancellationToken cancellationToken = default)
{
if (!await IsCoffeeAdvisorEnabledAsync(cancellationToken))
return false;
return !string.IsNullOrWhiteSpace(await GetApiKeyAsync(cancellationToken));
}
public async Task<string?> CompleteJsonAsync(
string systemPrompt,
string userPrompt,
CancellationToken cancellationToken = default)
{
var apiKey = await GetApiKeyAsync(cancellationToken);
if (string.IsNullOrWhiteSpace(apiKey))
return null;
var model = await GetModelAsync(cancellationToken);
var body = JsonSerializer.Serialize(new
{
model,
temperature = 0.4,
response_format = new { type = "json_object" },
messages = new object[]
{
new { role = "system", content = systemPrompt },
new { role = "user", content = userPrompt }
}
}, JsonOpts);
var client = _httpClientFactory.CreateClient("OpenAi");
using var req = new HttpRequestMessage(HttpMethod.Post, "https://api.openai.com/v1/chat/completions")
{
Content = new StringContent(body, Encoding.UTF8, "application/json")
};
req.Headers.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
using var res = await client.SendAsync(req, cancellationToken);
if (!res.IsSuccessStatusCode)
{
_logger.LogWarning("OpenAI chat failed with status {Status}", res.StatusCode);
return null;
}
await using var stream = await res.Content.ReadAsStreamAsync(cancellationToken);
var doc = await JsonDocument.ParseAsync(stream, cancellationToken: cancellationToken);
return doc.RootElement
.GetProperty("choices")[0]
.GetProperty("message")
.GetProperty("content")
.GetString();
}
private async Task<bool> IsCoffeeAdvisorEnabledAsync(CancellationToken cancellationToken)
{
var enabled = await _platform.GetAsync(PlatformIntegrationKeys.OpenAiEnabled, cancellationToken);
if (enabled is "false")
return false;
var feature = await _platform.GetAsync(PlatformIntegrationKeys.OpenAiCoffeeAdvisorEnabled, cancellationToken);
return feature is not "false";
}
private async Task<string?> GetApiKeyAsync(CancellationToken cancellationToken)
{
var fromDb = await _platform.GetAsync(PlatformIntegrationKeys.OpenAiApiKey, cancellationToken);
if (!string.IsNullOrWhiteSpace(fromDb))
return fromDb.Trim();
return _configuration["OpenAI:ApiKey"]?.Trim();
}
private async Task<string> GetModelAsync(CancellationToken cancellationToken)
{
var fromDb = await _platform.GetAsync(PlatformIntegrationKeys.OpenAiModel, cancellationToken);
if (!string.IsNullOrWhiteSpace(fromDb))
return fromDb.Trim();
return _configuration["OpenAI:Model"]?.Trim() ?? "gpt-4o-mini";
}
}