Добавил слой Infrastructure

2026-04-28 15:52:19 +03:00
parent 25d617639c
commit df0e30a1ae
32 changed files with 4139 additions and 0 deletions
@@ -0,0 +1,59 @@
+using System.Net.Http.Json;
+using System.Text;
+using System.Text.Json;
+using Microsoft.Extensions.Configuration;
+using Microsoft.Extensions.Logging;
+using UniVerse.Application.Interfaces;
+
+namespace UniVerse.Infrastructure.ExternalServices;
+
+public class LlmClient : ILlmClient
+{
+    private readonly HttpClient _http;
+    private readonly IConfiguration _config;
+    private readonly ILogger<LlmClient> _logger;
+
+    public LlmClient(HttpClient http, IConfiguration config, ILogger<LlmClient> logger)
+    {
+        _http = http; _config = config; _logger = logger;
+    }
+
+    public async Task<LlmReviewAnalysis> AnalyzeReviewAsync(string reviewText, string lectureContext)
+    {
+        var prompt = $"""
+            Analyze the following student review of a lecture. Return a JSON object with:
+            - quality_score: float 0-1 indicating review quality
+            - sentiment: "Positive", "Neutral", or "Negative"
+            - tags: array of relevant topic tags
+            - is_informative: boolean indicating if the review is informative
+
+            Lecture context: {lectureContext}
+            Review text: {reviewText}
+            """;
+
+        var request = new
+        {
+            model = _config["Llm:Model"] ?? "gpt-4o-mini",
+            messages = new[] { new { role = "user", content = prompt } },
+            temperature = 0.3,
+            response_format = new { type = "json_object" }
+        };
+
+        var apiKey = _config["Llm:ApiKey"] ?? "";
+        _http.DefaultRequestHeaders.Clear();
+        if (!string.IsNullOrEmpty(apiKey))
+            _http.DefaultRequestHeaders.Add("Authorization", $"Bearer {apiKey}");
+
+        var response = await _http.PostAsJsonAsync("chat/completions", request);
+        response.EnsureSuccessStatusCode();
+
+        var json = await response.Content.ReadFromJsonAsync<JsonElement>();
+        var content = json.GetProperty("choices")[0].GetProperty("message").GetProperty("content").GetString()!;
+        var analysis = JsonSerializer.Deserialize<LlmRawResponse>(content,
+            new JsonSerializerOptions { PropertyNameCaseInsensitive = true })!;
+
+        return new LlmReviewAnalysis(analysis.QualityScore, analysis.Sentiment, analysis.Tags, analysis.IsInformative);
+    }
+
+    private record LlmRawResponse(double QualityScore, string Sentiment, string[] Tags, bool IsInformative);
+}