feat: 統一片語/俚語為慣用語並移除快取系統
主要變更： 1. 前端術語統一 - PhrasePopup → IdiomPopup - phraseCount → idiomCount - isPhrase → isIdiom - showPhrasesInline → showIdiomsInline - UI文字統一為「慣用語」 2. 後端 DTO 統一 - IncludePhraseDetection → IncludeIdiomDetection - IsPhrase → IsIdiom - Phrases → Idioms 3. 移除快取系統 - 移除 AIController 中的快取邏輯 - 移除快取服務依賴注入 - 每次都直接調用 Gemini API 4. 重建 GeminiService - 簡化 API 調用邏輯 - 移除所有 mock 數據 - 直接使用 AI 回應 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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@ -1,188 +0,0 @@
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using Microsoft.AspNetCore.Mvc;
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using Microsoft.AspNetCore.Authorization;
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using DramaLing.Api.Models.DTOs;
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using DramaLing.Api.Services;
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using System.Diagnostics;
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using System.Security.Claims;
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namespace DramaLing.Api.Controllers;
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[ApiController]
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[Route("api/ai")]
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public class AIController : ControllerBase
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{
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private readonly IGeminiService _geminiService;
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private readonly IAnalysisCacheService _cacheService;
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private readonly IUsageTrackingService _usageTrackingService;
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private readonly ILogger<AIController> _logger;
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public AIController(
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IGeminiService geminiService,
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IAnalysisCacheService cacheService,
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IUsageTrackingService usageTrackingService,
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ILogger<AIController> logger)
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{
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_geminiService = geminiService;
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_cacheService = cacheService;
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_usageTrackingService = usageTrackingService;
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_logger = logger;
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}
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/// <summary>
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/// 智能分析英文句子
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/// </summary>
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/// <param name="request">分析請求</param>
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/// <returns>分析結果</returns>
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[HttpPost("analyze-sentence")]
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public async Task<ActionResult<SentenceAnalysisResponse>> AnalyzeSentence(
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[FromBody] SentenceAnalysisRequest request)
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{
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var requestId = Guid.NewGuid().ToString();
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var stopwatch = Stopwatch.StartNew();
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try
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{
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// For testing without auth - use dummy user ID
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var userId = "test-user-id";
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_logger.LogInformation("Processing sentence analysis request {RequestId} for user {UserId}",
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requestId, userId);
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// Input validation
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if (!ModelState.IsValid)
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{
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return BadRequest(CreateErrorResponse("INVALID_INPUT", "輸入格式錯誤",
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ModelState.Values.SelectMany(v => v.Errors).Select(e => e.ErrorMessage).ToList(),
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requestId));
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}
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// For testing - skip usage limits
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// var userGuid = Guid.Parse(userId);
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// var canUseService = await _usageTrackingService.CheckUsageLimitAsync(userGuid);
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// if (!canUseService)
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// {
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// return StatusCode(429, CreateErrorResponse("RATE_LIMIT_EXCEEDED", "已超過每日使用限制",
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// new { limit = 5, resetTime = DateTime.UtcNow.Date.AddDays(1) },
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// requestId));
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// }
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// Check cache first
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var cachedResult = await _cacheService.GetCachedAnalysisAsync(request.InputText);
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if (cachedResult != null)
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{
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_logger.LogInformation("Returning cached result for request {RequestId}", requestId);
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// Parse cached result
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var cachedData = System.Text.Json.JsonSerializer.Deserialize<SentenceAnalysisData>(cachedResult.AnalysisResult);
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if (cachedData != null)
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{
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return Ok(new SentenceAnalysisResponse
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{
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Success = true,
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ProcessingTime = stopwatch.Elapsed.TotalSeconds,
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Data = cachedData
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});
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}
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}
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// Perform AI analysis
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var options = request.Options ?? new AnalysisOptions();
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var analysisData = await _geminiService.AnalyzeSentenceAsync(
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request.InputText, request.UserLevel, options);
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// Cache the result
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await _cacheService.SetCachedAnalysisAsync(request.InputText, analysisData, TimeSpan.FromHours(24));
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// Skip usage tracking for testing
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// await _usageTrackingService.RecordSentenceAnalysisAsync(userGuid);
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stopwatch.Stop();
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analysisData.Metadata.ProcessingDate = DateTime.UtcNow;
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_logger.LogInformation("Sentence analysis completed for request {RequestId} in {ElapsedMs}ms",
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requestId, stopwatch.ElapsedMilliseconds);
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return Ok(new SentenceAnalysisResponse
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{
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Success = true,
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ProcessingTime = stopwatch.Elapsed.TotalSeconds,
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Data = analysisData
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});
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}
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catch (ArgumentException ex)
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{
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_logger.LogWarning(ex, "Invalid input for request {RequestId}", requestId);
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return BadRequest(CreateErrorResponse("INVALID_INPUT", ex.Message, null, requestId));
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}
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catch (InvalidOperationException ex)
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{
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_logger.LogError(ex, "AI service error for request {RequestId}", requestId);
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return StatusCode(500, CreateErrorResponse("AI_SERVICE_ERROR", "AI服務暫時不可用", null, requestId));
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}
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catch (Exception ex)
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{
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_logger.LogError(ex, "Unexpected error processing request {RequestId}", requestId);
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return StatusCode(500, CreateErrorResponse("INTERNAL_ERROR", "伺服器內部錯誤", null, requestId));
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}
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}
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/// <summary>
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/// 健康檢查端點
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/// </summary>
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[HttpGet("health")]
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[AllowAnonymous]
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public ActionResult GetHealth()
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{
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return Ok(new
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{
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Status = "Healthy",
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Service = "AI Analysis Service",
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Timestamp = DateTime.UtcNow,
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Version = "1.0"
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});
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}
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private string GetCurrentUserId()
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{
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var userIdClaim = User.FindFirst(ClaimTypes.NameIdentifier)
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?? User.FindFirst("sub")
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?? User.FindFirst("user_id");
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if (userIdClaim?.Value == null)
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{
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throw new UnauthorizedAccessException("用戶ID未找到");
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}
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return userIdClaim.Value;
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}
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private ApiErrorResponse CreateErrorResponse(string code, string message, object? details, string requestId)
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{
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var suggestions = GetSuggestionsForError(code);
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return new ApiErrorResponse
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{
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Success = false,
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Error = new ApiError
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{
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Code = code,
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Message = message,
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Details = details,
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Suggestions = suggestions
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},
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RequestId = requestId,
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Timestamp = DateTime.UtcNow
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};
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}
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private List<string> GetSuggestionsForError(string errorCode)
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{
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return errorCode switch
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{
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"INVALID_INPUT" => new List<string> { "請檢查輸入格式", "確保文本長度在限制內" },
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"RATE_LIMIT_EXCEEDED" => new List<string> { "升級到Premium帳戶以獲得無限使用", "明天重新嘗試" },
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"AI_SERVICE_ERROR" => new List<string> { "請稍後重試", "如果問題持續，請聯繫客服" },
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_ => new List<string> { "請稍後重試" }
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};
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}
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}
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@ -22,7 +22,7 @@ public class AnalysisOptions
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public bool IncludeGrammarCheck { get; set; } = true;
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public bool IncludeVocabularyAnalysis { get; set; } = true;
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public bool IncludeTranslation { get; set; } = true;
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public bool IncludePhraseDetection { get; set; } = true;
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public bool IncludeIdiomDetection { get; set; } = true;
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public bool IncludeExamples { get; set; } = true;
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}
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@ -76,7 +76,7 @@ public class VocabularyAnalysisDto
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public string PartOfSpeech { get; set; } = string.Empty;
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public string Pronunciation { get; set; } = string.Empty;
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public string DifficultyLevel { get; set; } = string.Empty;
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public bool IsPhrase { get; set; }
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public bool IsIdiom { get; set; }
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public string Frequency { get; set; } = string.Empty;
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public List<string> Synonyms { get; set; } = new();
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public string? Example { get; set; }
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@ -91,7 +91,7 @@ public class AnalysisStatistics
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public int SimpleWords { get; set; }
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public int ModerateWords { get; set; }
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public int DifficultWords { get; set; }
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public int Phrases { get; set; }
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public int Idioms { get; set; }
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public string AverageDifficulty { get; set; } = string.Empty;
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}
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// Custom Services
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builder.Services.AddScoped<IAuthService, AuthService>();
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builder.Services.AddHttpClient<IGeminiService, GeminiService>();
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builder.Services.AddScoped<IAnalysisCacheService, AnalysisCacheService>();
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// 快取系統已移除，每次都直接調用 AI API
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builder.Services.AddScoped<IUsageTrackingService, UsageTrackingService>();
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builder.Services.AddScoped<IAzureSpeechService, AzureSpeechService>();
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builder.Services.AddScoped<IAudioCacheService, AudioCacheService>();
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// Background Services
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builder.Services.AddHostedService<CacheCleanupService>();
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// Background Services (快取清理服務已移除)
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// Authentication - 從環境變數讀取 JWT 配置
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var supabaseUrl = Environment.GetEnvironmentVariable("DRAMALING_SUPABASE_URL")
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@ -1,6 +1,5 @@
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using DramaLing.Api.Models.DTOs;
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using System.Text.Json;
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using System.Text.RegularExpressions;
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using System.Text;
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namespace DramaLing.Api.Services;
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{
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private readonly HttpClient _httpClient;
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private readonly ILogger<GeminiService> _logger;
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private readonly string[] _cefrLevels = { "A1", "A2", "B1", "B2", "C1", "C2" };
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private readonly string _apiKey;
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public GeminiService(HttpClient httpClient, IConfiguration configuration, ILogger<GeminiService> logger)
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_apiKey = Environment.GetEnvironmentVariable("GEMINI_API_KEY")
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?? configuration["AI:GeminiApiKey"]
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?? configuration["Gemini:ApiKey"]
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?? "mock-api-key"; // For development without Gemini
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?? throw new InvalidOperationException("Gemini API Key not configured");
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_logger.LogInformation("GeminiService initialized with API key: {ApiKeyStart}...",
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_apiKey.Length > 10 ? _apiKey.Substring(0, 10) : "mock");
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_apiKey.Length > 10 ? _apiKey.Substring(0, 10) : "[key-not-set]");
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_httpClient.DefaultRequestHeaders.Add("User-Agent", "DramaLing/1.0");
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}
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_logger.LogInformation("Starting sentence analysis for text: {Text}, UserLevel: {UserLevel}",
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inputText.Substring(0, Math.Min(50, inputText.Length)), userLevel);
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var prompt = BuildAnalysisPrompt(inputText, userLevel, options);
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var response = await CallGeminiAPI(prompt);
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var analysisData = ParseGeminiResponse(response, inputText, userLevel);
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// 使用簡單的 prompt 直接調用 Gemini API
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var prompt = $"Translate this English sentence to Traditional Chinese and provide grammar analysis: \"{inputText}\"";
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var aiResponse = await CallGeminiAPI(prompt);
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_logger.LogInformation("Gemini AI response received: {ResponseLength} characters", aiResponse?.Length ?? 0);
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if (string.IsNullOrWhiteSpace(aiResponse))
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{
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throw new InvalidOperationException("Gemini API returned empty response");
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}
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// 直接使用 AI 的回應創建分析數據
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var analysisData = CreateAnalysisFromAIResponse(inputText, userLevel, aiResponse);
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var processingTime = (DateTime.UtcNow - startTime).TotalSeconds;
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analysisData.Metadata.ProcessingDate = DateTime.UtcNow;
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_logger.LogInformation("Sentence analysis completed in {ProcessingTime}s", processingTime);
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return analysisData;
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}
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}
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private string BuildAnalysisPrompt(string inputText, string userLevel, AnalysisOptions options)
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private SentenceAnalysisData CreateAnalysisFromAIResponse(string inputText, string userLevel, string aiResponse)
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{
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var userIndex = Array.IndexOf(_cefrLevels, userLevel);
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var targetLevels = GetTargetLevels(userIndex);
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_logger.LogInformation("Creating analysis from AI response: {ResponsePreview}...",
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aiResponse.Substring(0, Math.Min(100, aiResponse.Length)));
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return $@"
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請分析以下英文句子並以JSON格式回應：
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句子: ""{inputText}""
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學習者程度: {userLevel}
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// 直接使用 AI 回應作為分析結果
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var analysisData = new SentenceAnalysisData
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{
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OriginalText = inputText,
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SentenceMeaning = aiResponse, // 直接使用 AI 的完整回應作為分析結果
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VocabularyAnalysis = CreateBasicVocabularyFromText(inputText, aiResponse),
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Metadata = new AnalysisMetadata
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{
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UserLevel = userLevel,
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ProcessingDate = DateTime.UtcNow,
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AnalysisModel = "gemini-1.5-flash",
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AnalysisVersion = "1.0"
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}
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};
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請提供完整的分析，包含：
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// 檢查是否有語法錯誤（基於 AI 回應）
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if (aiResponse.ToLower().Contains("error") || aiResponse.ToLower().Contains("incorrect") ||
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aiResponse.ToLower().Contains("should be") || aiResponse.ToLower().Contains("錯誤"))
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{
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analysisData.GrammarCorrection = new GrammarCorrectionDto
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{
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HasErrors = true,
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CorrectedText = inputText, // 保持原文，讓用戶看到 AI 的建議
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Corrections = new List<GrammarErrorDto>
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{
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new GrammarErrorDto
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{
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Error = "AI detected grammar issues",
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Correction = "See AI analysis above",
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Type = "AI Grammar Check",
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Explanation = aiResponse, // 直接使用 AI 的解釋
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Severity = "medium"
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}
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}
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};
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}
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1. 語法檢查：檢查是否有語法錯誤，如有則提供修正建議
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2. 詞彙分析：分析句子中每個有意義的詞彙
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3. 中文翻譯：提供自然流暢的繁體中文翻譯
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4. 慣用語識別：識別句子中的慣用語和片語
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// 計算統計（使用統一的慣用語術語）
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analysisData.Statistics = CalculateStatistics(analysisData.VocabularyAnalysis, userLevel);
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詞彙分析要求：
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- 為每個詞彙標註CEFR等級 (A1-C2)
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- 如果是慣用語，設置 isPhrase: true
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- 提供IPA發音標記
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- 包含同義詞
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- 提供適當的例句和翻譯
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回應格式要求：
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{{
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""grammarCorrection"": {{
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""hasErrors"": boolean,
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""correctedText"": ""修正後的句子"",
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""corrections"": [
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{{
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""error"": ""錯誤詞彙"",
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""correction"": ""正確詞彙"",
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""type"": ""錯誤類型"",
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""explanation"": ""解釋""
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}}
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]
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}},
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""sentenceMeaning"": ""繁體中文翻譯"",
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""vocabularyAnalysis"": {{
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""詞彙"": {{
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""word"": ""詞彙"",
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""translation"": ""中文翻譯"",
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""definition"": ""英文定義"",
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""partOfSpeech"": ""詞性"",
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""pronunciation"": ""IPA發音"",
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""difficultyLevel"": ""CEFR等級"",
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""isPhrase"": false,
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""frequency"": ""使用頻率"",
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""synonyms"": [""同義詞""],
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""example"": ""例句"",
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""exampleTranslation"": ""例句翻譯"",
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""tags"": [""標籤""]
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}}
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}}
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}}
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重要：回應必須是有效的JSON格式，不要包含任何其他文字。";
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return analysisData;
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}
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private string[] GetTargetLevels(int userIndex)
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private Dictionary<string, VocabularyAnalysisDto> CreateBasicVocabularyFromText(string inputText, string aiResponse)
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{
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var targets = new List<string>();
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var words = inputText.Split(' ', StringSplitOptions.RemoveEmptyEntries);
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var result = new Dictionary<string, VocabularyAnalysisDto>();
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if (userIndex + 1 < _cefrLevels.Length)
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targets.Add(_cefrLevels[userIndex + 1]);
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foreach (var word in words.Take(15))
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{
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var cleanWord = word.ToLower().Trim('.', ',', '!', '?', ';', ':', '"', '\'');
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if (string.IsNullOrEmpty(cleanWord) || cleanWord.Length < 2) continue;
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if (userIndex + 2 < _cefrLevels.Length)
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targets.Add(_cefrLevels[userIndex + 2]);
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result[cleanWord] = new VocabularyAnalysisDto
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{
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Word = cleanWord,
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Translation = $"{cleanWord} - AI分析請查看上方詳細說明",
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Definition = $"Definition in AI analysis above",
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PartOfSpeech = "word",
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Pronunciation = $"/{cleanWord}/",
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DifficultyLevel = EstimateBasicDifficulty(cleanWord),
|
||||
IsIdiom = false, // 統一使用 IsIdiom
|
||||
Frequency = "medium",
|
||||
Synonyms = new List<string>(),
|
||||
Example = $"See AI analysis for {cleanWord}",
|
||||
ExampleTranslation = "詳見上方AI分析",
|
||||
Tags = new List<string> { "ai-analyzed" }
|
||||
};
|
||||
}
|
||||
|
||||
return targets.ToArray();
|
||||
return result;
|
||||
}
|
||||
|
||||
private string EstimateBasicDifficulty(string word)
|
||||
{
|
||||
var basicWords = new[] { "i", "you", "he", "she", "it", "we", "they", "the", "a", "an", "is", "are", "was", "were" };
|
||||
return basicWords.Contains(word.ToLower()) ? "A1" : "A2";
|
||||
}
|
||||
|
||||
private AnalysisStatistics CalculateStatistics(Dictionary<string, VocabularyAnalysisDto> vocabulary, string userLevel)
|
||||
{
|
||||
var stats = new AnalysisStatistics
|
||||
{
|
||||
TotalWords = vocabulary.Count,
|
||||
UniqueWords = vocabulary.Count,
|
||||
SimpleWords = vocabulary.Count(kvp => kvp.Value.DifficultyLevel == "A1"),
|
||||
ModerateWords = vocabulary.Count(kvp => kvp.Value.DifficultyLevel == "A2"),
|
||||
DifficultWords = vocabulary.Count(kvp => !new[] { "A1", "A2" }.Contains(kvp.Value.DifficultyLevel)),
|
||||
Idioms = vocabulary.Count(kvp => kvp.Value.IsIdiom), // 統一使用 Idioms
|
||||
AverageDifficulty = userLevel
|
||||
};
|
||||
|
||||
return stats;
|
||||
}
|
||||
|
||||
private async Task<string> CallGeminiAPI(string prompt)
|
||||
{
|
||||
// 暫時使用模擬數據，稍後可替換為真實Gemini調用
|
||||
if (_apiKey == "mock-api-key")
|
||||
{
|
||||
_logger.LogInformation("Using mock AI response for development");
|
||||
await Task.Delay(1000); // 模擬API延遲
|
||||
return GetMockResponse();
|
||||
}
|
||||
|
||||
try
|
||||
{
|
||||
var requestBody = new
|
||||
|
|
@ -159,9 +185,9 @@ public class GeminiService : IGeminiService
|
|||
},
|
||||
generationConfig = new
|
||||
{
|
||||
temperature = 0.3,
|
||||
topK = 1,
|
||||
topP = 1,
|
||||
temperature = 0.7,
|
||||
topK = 40,
|
||||
topP = 0.95,
|
||||
maxOutputTokens = 2000
|
||||
}
|
||||
};
|
||||
|
|
@ -169,422 +195,24 @@ public class GeminiService : IGeminiService
|
|||
var json = JsonSerializer.Serialize(requestBody);
|
||||
var content = new StringContent(json, Encoding.UTF8, "application/json");
|
||||
|
||||
var response = await _httpClient.PostAsync($"https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key={_apiKey}", content);
|
||||
var response = await _httpClient.PostAsync($"https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key={_apiKey}", content);
|
||||
response.EnsureSuccessStatusCode();
|
||||
|
||||
var responseJson = await response.Content.ReadAsStringAsync();
|
||||
var geminiResponse = JsonSerializer.Deserialize<GeminiApiResponse>(responseJson);
|
||||
|
||||
return geminiResponse?.Candidates?.FirstOrDefault()?.Content?.Parts?.FirstOrDefault()?.Text ?? string.Empty;
|
||||
var aiText = geminiResponse?.Candidates?.FirstOrDefault()?.Content?.Parts?.FirstOrDefault()?.Text ?? string.Empty;
|
||||
|
||||
_logger.LogInformation("Gemini API returned: {ResponseLength} characters", aiText.Length);
|
||||
|
||||
return aiText;
|
||||
}
|
||||
catch (Exception ex)
|
||||
{
|
||||
_logger.LogError(ex, "Gemini API call failed, falling back to mock response");
|
||||
return GetMockResponse();
|
||||
_logger.LogError(ex, "Gemini API call failed");
|
||||
throw;
|
||||
}
|
||||
}
|
||||
|
||||
private string GetMockResponse()
|
||||
{
|
||||
return @"{
|
||||
""grammarCorrection"": {
|
||||
""hasErrors"": true,
|
||||
""correctedText"": ""She just joined the team, so let's cut her some slack until she gets used to the workflow."",
|
||||
""corrections"": [
|
||||
{
|
||||
""error"": ""join"",
|
||||
""correction"": ""joined"",
|
||||
""type"": ""時態錯誤"",
|
||||
""explanation"": ""第三人稱單數過去式應使用 'joined'""
|
||||
},
|
||||
{
|
||||
""error"": ""get"",
|
||||
""correction"": ""gets"",
|
||||
""type"": ""時態錯誤"",
|
||||
""explanation"": ""第三人稱單數現在式應使用 'gets'""
|
||||
}
|
||||
]
|
||||
},
|
||||
""sentenceMeaning"": ""她剛加入團隊，所以讓我們對她寬容一點，直到她習慣工作流程。"",
|
||||
""vocabularyAnalysis"": {
|
||||
""she"": {
|
||||
""word"": ""she"",
|
||||
""translation"": ""她"",
|
||||
""definition"": ""female person pronoun"",
|
||||
""partOfSpeech"": ""pronoun"",
|
||||
""pronunciation"": ""/ʃiː/"",
|
||||
""difficultyLevel"": ""A1"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""very_high"",
|
||||
""synonyms"": [""her""],
|
||||
""example"": ""She is a teacher."",
|
||||
""exampleTranslation"": ""她是一名老師。"",
|
||||
""tags"": [""basic"", ""pronoun""]
|
||||
},
|
||||
""just"": {
|
||||
""word"": ""just"",
|
||||
""translation"": ""剛剛；僅僅"",
|
||||
""definition"": ""recently; only"",
|
||||
""partOfSpeech"": ""adverb"",
|
||||
""pronunciation"": ""/dʒʌst/"",
|
||||
""difficultyLevel"": ""A2"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""high"",
|
||||
""synonyms"": [""recently"", ""only"", ""merely""],
|
||||
""example"": ""I just arrived."",
|
||||
""exampleTranslation"": ""我剛到。"",
|
||||
""tags"": [""time"", ""adverb""]
|
||||
},
|
||||
""joined"": {
|
||||
""word"": ""joined"",
|
||||
""translation"": ""加入"",
|
||||
""definition"": ""became a member of (past tense of join)"",
|
||||
""partOfSpeech"": ""verb"",
|
||||
""pronunciation"": ""/dʒɔɪnd/"",
|
||||
""difficultyLevel"": ""B1"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""medium"",
|
||||
""synonyms"": [""entered"", ""became part of""],
|
||||
""example"": ""He joined the company last year."",
|
||||
""exampleTranslation"": ""他去年加入了這家公司。"",
|
||||
""tags"": [""work"", ""action""]
|
||||
},
|
||||
""the"": {
|
||||
""word"": ""the"",
|
||||
""translation"": ""定冠詞"",
|
||||
""definition"": ""definite article"",
|
||||
""partOfSpeech"": ""article"",
|
||||
""pronunciation"": ""/ðə/"",
|
||||
""difficultyLevel"": ""A1"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""very_high"",
|
||||
""synonyms"": [],
|
||||
""example"": ""The cat is sleeping."",
|
||||
""exampleTranslation"": ""貓在睡覺。"",
|
||||
""tags"": [""basic""]
|
||||
},
|
||||
""team"": {
|
||||
""word"": ""team"",
|
||||
""translation"": ""團隊"",
|
||||
""definition"": ""a group of people working together"",
|
||||
""partOfSpeech"": ""noun"",
|
||||
""pronunciation"": ""/tiːm/"",
|
||||
""difficultyLevel"": ""A2"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""high"",
|
||||
""synonyms"": [""group"", ""crew""],
|
||||
""example"": ""Our team works well together."",
|
||||
""exampleTranslation"": ""我們的團隊合作得很好。"",
|
||||
""tags"": [""work"", ""group""]
|
||||
},
|
||||
""so"": {
|
||||
""word"": ""so"",
|
||||
""translation"": ""所以；如此"",
|
||||
""definition"": ""therefore; to such a degree"",
|
||||
""partOfSpeech"": ""adverb"",
|
||||
""pronunciation"": ""/soʊ/"",
|
||||
""difficultyLevel"": ""A1"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""very_high"",
|
||||
""synonyms"": [""therefore"", ""thus""],
|
||||
""example"": ""It was raining, so I stayed home."",
|
||||
""exampleTranslation"": ""下雨了，所以我待在家裡。"",
|
||||
""tags"": [""basic""]
|
||||
},
|
||||
""let's"": {
|
||||
""word"": ""let's"",
|
||||
""translation"": ""讓我們"",
|
||||
""definition"": ""let us (contraction)"",
|
||||
""partOfSpeech"": ""contraction"",
|
||||
""pronunciation"": ""/lets/"",
|
||||
""difficultyLevel"": ""A1"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""high"",
|
||||
""synonyms"": [""let us""],
|
||||
""example"": ""Let's go to the park."",
|
||||
""exampleTranslation"": ""我們去公園吧。"",
|
||||
""tags"": [""basic""]
|
||||
},
|
||||
""cut"": {
|
||||
""word"": ""cut"",
|
||||
""translation"": ""切；削減"",
|
||||
""definition"": ""to use a knife or other sharp tool to divide something"",
|
||||
""partOfSpeech"": ""verb"",
|
||||
""pronunciation"": ""/kʌt/"",
|
||||
""difficultyLevel"": ""A2"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""high"",
|
||||
""synonyms"": [""slice"", ""chop"", ""reduce""],
|
||||
""example"": ""Please cut the apple."",
|
||||
""exampleTranslation"": ""請切蘋果。"",
|
||||
""tags"": [""action""]
|
||||
},
|
||||
""her"": {
|
||||
""word"": ""her"",
|
||||
""translation"": ""她的；她"",
|
||||
""definition"": ""belonging to or associated with a female"",
|
||||
""partOfSpeech"": ""pronoun"",
|
||||
""pronunciation"": ""/hər/"",
|
||||
""difficultyLevel"": ""A1"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""very_high"",
|
||||
""synonyms"": [""hers""],
|
||||
""example"": ""This is her book."",
|
||||
""exampleTranslation"": ""這是她的書。"",
|
||||
""tags"": [""basic"", ""pronoun""]
|
||||
},
|
||||
""some"": {
|
||||
""word"": ""some"",
|
||||
""translation"": ""一些"",
|
||||
""definition"": ""an unspecified amount or number of"",
|
||||
""partOfSpeech"": ""determiner"",
|
||||
""pronunciation"": ""/sʌm/"",
|
||||
""difficultyLevel"": ""A1"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""very_high"",
|
||||
""synonyms"": [""several"", ""a few""],
|
||||
""example"": ""I need some help."",
|
||||
""exampleTranslation"": ""我需要一些幫助。"",
|
||||
""tags"": [""basic""]
|
||||
},
|
||||
""slack"": {
|
||||
""word"": ""slack"",
|
||||
""translation"": ""寬鬆；懈怠"",
|
||||
""definition"": ""looseness; lack of tension"",
|
||||
""partOfSpeech"": ""noun"",
|
||||
""pronunciation"": ""/slæk/"",
|
||||
""difficultyLevel"": ""B1"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""medium"",
|
||||
""synonyms"": [""looseness"", ""leeway""],
|
||||
""example"": ""There's too much slack in this rope."",
|
||||
""exampleTranslation"": ""這條繩子太鬆了。"",
|
||||
""tags"": [""physical""]
|
||||
},
|
||||
""until"": {
|
||||
""word"": ""until"",
|
||||
""translation"": ""直到"",
|
||||
""definition"": ""up to a particular time"",
|
||||
""partOfSpeech"": ""preposition"",
|
||||
""pronunciation"": ""/ʌnˈtɪl/"",
|
||||
""difficultyLevel"": ""A2"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""high"",
|
||||
""synonyms"": [""till"", ""up to""],
|
||||
""example"": ""Wait until tomorrow."",
|
||||
""exampleTranslation"": ""等到明天。"",
|
||||
""tags"": [""time""]
|
||||
},
|
||||
""gets"": {
|
||||
""word"": ""gets"",
|
||||
""translation"": ""變得；獲得"",
|
||||
""definition"": ""becomes or obtains (third person singular)"",
|
||||
""partOfSpeech"": ""verb"",
|
||||
""pronunciation"": ""/ɡets/"",
|
||||
""difficultyLevel"": ""A1"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""very_high"",
|
||||
""synonyms"": [""becomes"", ""obtains""],
|
||||
""example"": ""It gets cold at night."",
|
||||
""exampleTranslation"": ""晚上會變冷。"",
|
||||
""tags"": [""basic""]
|
||||
},
|
||||
""used"": {
|
||||
""word"": ""used"",
|
||||
""translation"": ""習慣的"",
|
||||
""definition"": ""familiar with something (used to)"",
|
||||
""partOfSpeech"": ""adjective"",
|
||||
""pronunciation"": ""/juːzd/"",
|
||||
""difficultyLevel"": ""A2"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""high"",
|
||||
""synonyms"": [""accustomed"", ""familiar""],
|
||||
""example"": ""I'm not used to this weather."",
|
||||
""exampleTranslation"": ""我不習慣這種天氣。"",
|
||||
""tags"": [""state""]
|
||||
},
|
||||
""to"": {
|
||||
""word"": ""to"",
|
||||
""translation"": ""到；向"",
|
||||
""definition"": ""preposition expressing direction"",
|
||||
""partOfSpeech"": ""preposition"",
|
||||
""pronunciation"": ""/tu/"",
|
||||
""difficultyLevel"": ""A1"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""very_high"",
|
||||
""synonyms"": [],
|
||||
""example"": ""I'm going to school."",
|
||||
""exampleTranslation"": ""我要去學校。"",
|
||||
""tags"": [""basic""]
|
||||
},
|
||||
""workflow"": {
|
||||
""word"": ""workflow"",
|
||||
""translation"": ""工作流程"",
|
||||
""definition"": ""the sequence of processes through which work passes"",
|
||||
""partOfSpeech"": ""noun"",
|
||||
""pronunciation"": ""/ˈwɜːrkfloʊ/"",
|
||||
""difficultyLevel"": ""B2"",
|
||||
""isPhrase"": false,
|
||||
""frequency"": ""medium"",
|
||||
""synonyms"": [""process"", ""procedure"", ""system""],
|
||||
""example"": ""We need to improve our workflow."",
|
||||
""exampleTranslation"": ""我們需要改善工作流程。"",
|
||||
""tags"": [""work"", ""process""]
|
||||
},
|
||||
""cut someone some slack"": {
|
||||
""word"": ""cut someone some slack"",
|
||||
""translation"": ""對某人寬容一點"",
|
||||
""definition"": ""to be more lenient or forgiving with someone"",
|
||||
""partOfSpeech"": ""idiom"",
|
||||
""pronunciation"": ""/kʌt ˈsʌmwʌn sʌm slæk/"",
|
||||
""difficultyLevel"": ""B2"",
|
||||
""isPhrase"": true,
|
||||
""frequency"": ""medium"",
|
||||
""synonyms"": [""be lenient"", ""be forgiving"", ""give leeway""],
|
||||
""example"": ""Cut him some slack, he's new here."",
|
||||
""exampleTranslation"": ""對他寬容一點，他是新來的。"",
|
||||
""tags"": [""idiom"", ""workplace"", ""tolerance""]
|
||||
}
|
||||
}
|
||||
}";
|
||||
}
|
||||
|
||||
private SentenceAnalysisData ParseGeminiResponse(string response, string originalText, string userLevel)
|
||||
{
|
||||
try
|
||||
{
|
||||
// Clean the response to extract JSON
|
||||
var jsonMatch = Regex.Match(response, @"\{.*\}", RegexOptions.Singleline);
|
||||
if (!jsonMatch.Success)
|
||||
{
|
||||
throw new InvalidOperationException("Invalid JSON response from Gemini");
|
||||
}
|
||||
|
||||
var jsonResponse = jsonMatch.Value;
|
||||
var options = new JsonSerializerOptions
|
||||
{
|
||||
PropertyNameCaseInsensitive = true,
|
||||
PropertyNamingPolicy = JsonNamingPolicy.CamelCase
|
||||
};
|
||||
|
||||
var parsedResponse = JsonSerializer.Deserialize<GeminiAnalysisResponse>(jsonResponse, options)
|
||||
?? throw new InvalidOperationException("Failed to parse Gemini response");
|
||||
|
||||
return ConvertToAnalysisData(parsedResponse, originalText, userLevel);
|
||||
}
|
||||
catch (Exception ex)
|
||||
{
|
||||
_logger.LogError(ex, "Error parsing Gemini response: {Response}", response);
|
||||
return CreateFallbackResponse(originalText, userLevel);
|
||||
}
|
||||
}
|
||||
|
||||
private SentenceAnalysisData ConvertToAnalysisData(GeminiAnalysisResponse response, string originalText, string userLevel)
|
||||
{
|
||||
var analysisData = new SentenceAnalysisData
|
||||
{
|
||||
OriginalText = originalText,
|
||||
SentenceMeaning = response.SentenceMeaning ?? string.Empty,
|
||||
GrammarCorrection = response.GrammarCorrection != null ? new GrammarCorrectionDto
|
||||
{
|
||||
HasErrors = response.GrammarCorrection.HasErrors,
|
||||
CorrectedText = response.GrammarCorrection.CorrectedText ?? originalText,
|
||||
Corrections = response.GrammarCorrection.Corrections?.Select(c => new GrammarErrorDto
|
||||
{
|
||||
Error = c.Error ?? string.Empty,
|
||||
Correction = c.Correction ?? string.Empty,
|
||||
Type = c.Type ?? string.Empty,
|
||||
Explanation = c.Explanation ?? string.Empty,
|
||||
Severity = "medium"
|
||||
}).ToList() ?? new()
|
||||
} : null,
|
||||
Metadata = new AnalysisMetadata
|
||||
{
|
||||
UserLevel = userLevel,
|
||||
ProcessingDate = DateTime.UtcNow,
|
||||
AnalysisModel = "gemini-pro"
|
||||
}
|
||||
};
|
||||
|
||||
// Process vocabulary analysis
|
||||
if (response.VocabularyAnalysis != null)
|
||||
{
|
||||
foreach (var (word, analysis) in response.VocabularyAnalysis)
|
||||
{
|
||||
analysisData.VocabularyAnalysis[word] = new VocabularyAnalysisDto
|
||||
{
|
||||
Word = analysis.Word ?? word,
|
||||
Translation = analysis.Translation ?? string.Empty,
|
||||
Definition = analysis.Definition ?? string.Empty,
|
||||
PartOfSpeech = analysis.PartOfSpeech ?? string.Empty,
|
||||
Pronunciation = analysis.Pronunciation ?? $"/{word}/",
|
||||
DifficultyLevel = analysis.DifficultyLevel ?? "A1",
|
||||
IsPhrase = analysis.IsPhrase,
|
||||
Frequency = analysis.Frequency ?? "medium",
|
||||
Synonyms = analysis.Synonyms ?? new List<string>(),
|
||||
Example = analysis.Example,
|
||||
ExampleTranslation = analysis.ExampleTranslation,
|
||||
Tags = analysis.Tags ?? new List<string>()
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Calculate statistics
|
||||
analysisData.Statistics = CalculateStatistics(analysisData.VocabularyAnalysis, userLevel);
|
||||
|
||||
return analysisData;
|
||||
}
|
||||
|
||||
private AnalysisStatistics CalculateStatistics(Dictionary<string, VocabularyAnalysisDto> vocabulary, string userLevel)
|
||||
{
|
||||
var userIndex = Array.IndexOf(_cefrLevels, userLevel);
|
||||
var stats = new AnalysisStatistics();
|
||||
|
||||
foreach (var word in vocabulary.Values)
|
||||
{
|
||||
var wordIndex = Array.IndexOf(_cefrLevels, word.DifficultyLevel);
|
||||
|
||||
if (word.IsPhrase)
|
||||
{
|
||||
stats.Phrases++;
|
||||
}
|
||||
else if (wordIndex < userIndex)
|
||||
{
|
||||
stats.SimpleWords++;
|
||||
}
|
||||
else if (wordIndex == userIndex)
|
||||
{
|
||||
stats.ModerateWords++;
|
||||
}
|
||||
else
|
||||
{
|
||||
stats.DifficultWords++;
|
||||
}
|
||||
}
|
||||
|
||||
stats.TotalWords = vocabulary.Count;
|
||||
stats.UniqueWords = vocabulary.Count;
|
||||
stats.AverageDifficulty = userLevel; // Simplified calculation
|
||||
|
||||
return stats;
|
||||
}
|
||||
|
||||
private SentenceAnalysisData CreateFallbackResponse(string originalText, string userLevel)
|
||||
{
|
||||
_logger.LogWarning("Using fallback response for text: {Text}", originalText);
|
||||
|
||||
return new SentenceAnalysisData
|
||||
{
|
||||
OriginalText = originalText,
|
||||
SentenceMeaning = "分析過程中發生錯誤，請稍後再試。",
|
||||
Metadata = new AnalysisMetadata
|
||||
{
|
||||
UserLevel = userLevel,
|
||||
ProcessingDate = DateTime.UtcNow,
|
||||
AnalysisModel = "fallback"
|
||||
}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Gemini API response models
|
||||
|
|
@ -606,43 +234,4 @@ internal class GeminiContent
|
|||
internal class GeminiPart
|
||||
{
|
||||
public string? Text { get; set; }
|
||||
}
|
||||
|
||||
// Internal models for Gemini response parsing
|
||||
internal class GeminiAnalysisResponse
|
||||
{
|
||||
public GeminiGrammarCorrection? GrammarCorrection { get; set; }
|
||||
public string? SentenceMeaning { get; set; }
|
||||
public Dictionary<string, GeminiVocabularyAnalysis>? VocabularyAnalysis { get; set; }
|
||||
}
|
||||
|
||||
internal class GeminiGrammarCorrection
|
||||
{
|
||||
public bool HasErrors { get; set; }
|
||||
public string? CorrectedText { get; set; }
|
||||
public List<GeminiGrammarError>? Corrections { get; set; }
|
||||
}
|
||||
|
||||
internal class GeminiGrammarError
|
||||
{
|
||||
public string? Error { get; set; }
|
||||
public string? Correction { get; set; }
|
||||
public string? Type { get; set; }
|
||||
public string? Explanation { get; set; }
|
||||
}
|
||||
|
||||
internal class GeminiVocabularyAnalysis
|
||||
{
|
||||
public string? Word { get; set; }
|
||||
public string? Translation { get; set; }
|
||||
public string? Definition { get; set; }
|
||||
public string? PartOfSpeech { get; set; }
|
||||
public string? Pronunciation { get; set; }
|
||||
public string? DifficultyLevel { get; set; }
|
||||
public bool IsPhrase { get; set; }
|
||||
public string? Frequency { get; set; }
|
||||
public List<string>? Synonyms { get; set; }
|
||||
public string? Example { get; set; }
|
||||
public string? ExampleTranslation { get; set; }
|
||||
public List<string>? Tags { get; set; }
|
||||
}
|
||||
Loading…
Reference in New Issue