585 lines
23 KiB
C#
585 lines
23 KiB
C#
using DramaLing.Api.Models.DTOs;
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using DramaLing.Api.Models.Entities;
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using DramaLing.Api.Models.Configuration;
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using Microsoft.Extensions.Options;
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using System.Text.Json;
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using System.Text;
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namespace DramaLing.Api.Services;
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public interface IGeminiService
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{
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Task<SentenceAnalysisData> AnalyzeSentenceAsync(string inputText, AnalysisOptions options);
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Task<string> GenerateImageDescriptionAsync(Flashcard flashcard, GenerationOptionsDto options);
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}
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public class GeminiService : IGeminiService
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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 GeminiOptions _options;
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public GeminiService(HttpClient httpClient, IOptions<GeminiOptions> options, ILogger<GeminiService> logger)
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{
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_httpClient = httpClient;
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_logger = logger;
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_options = options.Value;
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_logger.LogInformation("GeminiService initialized with model: {Model}, timeout: {Timeout}s",
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_options.Model, _options.TimeoutSeconds);
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_httpClient.Timeout = TimeSpan.FromSeconds(_options.TimeoutSeconds);
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_httpClient.DefaultRequestHeaders.Add("User-Agent", "DramaLing/1.0");
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}
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public async Task<SentenceAnalysisData> AnalyzeSentenceAsync(string inputText, AnalysisOptions options)
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{
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var startTime = DateTime.UtcNow;
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try
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{
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_logger.LogInformation("Starting sentence analysis for text: {Text}",
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inputText.Substring(0, Math.Min(50, inputText.Length)));
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// 符合產品需求規格的結構化 prompt
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var prompt = $@"You are an English learning assistant. Analyze this sentence and return ONLY a valid JSON response.
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**Input Sentence**: ""{inputText}""
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**Required JSON Structure:**
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{{
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""sentenceTranslation"": ""Traditional Chinese translation of the entire sentence"",
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""hasGrammarErrors"": true/false,
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""grammarCorrections"": [
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{{
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""original"": ""incorrect text"",
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""corrected"": ""correct text"",
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""type"": ""error type (tense/subject-verb/preposition/word-order)"",
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""explanation"": ""brief explanation in Traditional Chinese""
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}}
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],
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""vocabularyAnalysis"": {{
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""word1"": {{
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""word"": ""the word"",
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""translation"": ""Traditional Chinese translation"",
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""definition"": ""English definition"",
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""partOfSpeech"": ""noun/verb/adjective/adverb/pronoun/preposition/conjunction/interjection"",
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""pronunciation"": ""/phonetic/"",
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""difficultyLevel"": ""A1/A2/B1/B2/C1/C2"",
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""frequency"": ""high/medium/low"",
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""synonyms"": [""synonym1"", ""synonym2""],
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""example"": ""example sentence"",
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""exampleTranslation"": ""Traditional Chinese example translation""
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}}
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}},
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""idioms"": [
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{{
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""idiom"": ""idiomatic expression"",
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""translation"": ""Traditional Chinese meaning"",
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""definition"": ""English explanation"",
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""pronunciation"": ""/phonetic notation/"",
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""difficultyLevel"": ""A1/A2/B1/B2/C1/C2"",
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""frequency"": ""high/medium/low"",
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""synonyms"": [""synonym1"", ""synonym2""],
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""example"": ""usage example"",
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""exampleTranslation"": ""Traditional Chinese example""
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}}
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]
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}}
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**Analysis Guidelines:**
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1. **Grammar Check**: Detect tense errors, subject-verb agreement, preposition usage, word order
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2. **Vocabulary Analysis**: Include ALL significant words (exclude articles: a, an, the)
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3. **CEFR Levels**: Assign accurate A1-C2 levels for each word
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4. **Idioms**: Identify any idiomatic expressions or phrasal verbs
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5. **Translations**: Use Traditional Chinese (Taiwan standard)
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**IMPORTANT**: Return ONLY the JSON object, no additional text or explanation.";
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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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// 檢查是否是安全過濾的回退訊息
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if (aiResponse.Contains("temporarily unavailable due to safety filtering"))
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{
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// 這是安全過濾的情況，但我們仍然要處理它而不是拋出異常
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_logger.LogWarning("Using safety filtering fallback 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, aiResponse);
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var processingTime = (DateTime.UtcNow - startTime).TotalSeconds;
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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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catch (Exception ex)
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{
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_logger.LogError(ex, "Error analyzing sentence: {Text}", inputText);
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throw;
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}
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}
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private SentenceAnalysisData CreateAnalysisFromAIResponse(string inputText, string aiResponse)
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{
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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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try
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{
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// 清理 AI 回應以確保是純 JSON
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var cleanJson = aiResponse.Trim();
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if (cleanJson.StartsWith("```json"))
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{
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cleanJson = cleanJson.Substring(7);
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}
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if (cleanJson.EndsWith("```"))
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{
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cleanJson = cleanJson.Substring(0, cleanJson.Length - 3);
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}
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// 解析 AI 回應的 JSON
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var aiAnalysis = JsonSerializer.Deserialize<AiAnalysisResponse>(cleanJson, new JsonSerializerOptions
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{
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PropertyNameCaseInsensitive = true
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});
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if (aiAnalysis == null)
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{
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throw new InvalidOperationException("Failed to parse AI response JSON");
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}
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// 轉換為 DTO 結構
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var analysisData = new SentenceAnalysisData
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{
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OriginalText = inputText,
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SentenceMeaning = aiAnalysis.SentenceTranslation ?? "",
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VocabularyAnalysis = ConvertVocabularyAnalysis(aiAnalysis.VocabularyAnalysis ?? new()),
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Idioms = ConvertIdioms(aiAnalysis.Idioms ?? new()),
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GrammarCorrection = ConvertGrammarCorrection(aiAnalysis),
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Metadata = new AnalysisMetadata
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{
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ProcessingDate = DateTime.UtcNow,
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AnalysisModel = "gemini-1.5-flash",
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AnalysisVersion = "2.0"
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}
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};
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return analysisData;
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}
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catch (JsonException ex)
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{
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_logger.LogError(ex, "Failed to parse AI response as JSON: {Response}", aiResponse);
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// 回退到舊的處理方式
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return CreateFallbackAnalysis(inputText, aiResponse);
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}
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}
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private Dictionary<string, VocabularyAnalysisDto> ConvertVocabularyAnalysis(Dictionary<string, AiVocabularyAnalysis> aiVocab)
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{
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var result = new Dictionary<string, VocabularyAnalysisDto>();
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foreach (var kvp in aiVocab)
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{
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var aiWord = kvp.Value;
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result[kvp.Key] = new VocabularyAnalysisDto
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{
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Word = aiWord.Word ?? kvp.Key,
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Translation = aiWord.Translation ?? "",
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Definition = aiWord.Definition ?? "",
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PartOfSpeech = aiWord.PartOfSpeech ?? "unknown",
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Pronunciation = aiWord.Pronunciation ?? $"/{kvp.Key}/",
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DifficultyLevel = aiWord.DifficultyLevel ?? "A2",
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Frequency = aiWord.Frequency ?? "medium",
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Synonyms = aiWord.Synonyms ?? new List<string>(),
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Example = aiWord.Example,
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ExampleTranslation = aiWord.ExampleTranslation,
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};
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}
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return result;
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}
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private List<IdiomDto> ConvertIdioms(List<AiIdiom> aiIdioms)
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{
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var result = new List<IdiomDto>();
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foreach (var aiIdiom in aiIdioms)
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{
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result.Add(new IdiomDto
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{
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Idiom = aiIdiom.Idiom ?? "",
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Translation = aiIdiom.Translation ?? "",
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Definition = aiIdiom.Definition ?? "",
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Pronunciation = aiIdiom.Pronunciation ?? "",
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DifficultyLevel = aiIdiom.DifficultyLevel ?? "B2",
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Frequency = aiIdiom.Frequency ?? "medium",
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Synonyms = aiIdiom.Synonyms ?? new List<string>(),
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Example = aiIdiom.Example,
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ExampleTranslation = aiIdiom.ExampleTranslation
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});
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}
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return result;
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}
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private GrammarCorrectionDto? ConvertGrammarCorrection(AiAnalysisResponse aiAnalysis)
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{
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if (!aiAnalysis.HasGrammarErrors || aiAnalysis.GrammarCorrections == null || !aiAnalysis.GrammarCorrections.Any())
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{
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return null;
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}
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var corrections = aiAnalysis.GrammarCorrections.Select(gc => new GrammarErrorDto
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{
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Error = gc.Original ?? "",
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Correction = gc.Corrected ?? "",
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Type = gc.Type ?? "grammar",
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Explanation = gc.Explanation ?? "",
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Severity = "medium",
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Position = new ErrorPosition { Start = 0, End = 0 } // 簡化處理
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}).ToList();
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return new GrammarCorrectionDto
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{
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HasErrors = true,
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CorrectedText = string.Join(" ", corrections.Select(c => c.Correction)),
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Corrections = corrections
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};
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}
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private SentenceAnalysisData CreateFallbackAnalysis(string inputText, string aiResponse)
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{
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_logger.LogWarning("Using fallback analysis due to JSON parsing failure");
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return new SentenceAnalysisData
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{
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OriginalText = inputText,
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SentenceMeaning = aiResponse,
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VocabularyAnalysis = CreateBasicVocabularyFromText(inputText, aiResponse),
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Metadata = new AnalysisMetadata
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{
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ProcessingDate = DateTime.UtcNow,
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AnalysisModel = "gemini-1.5-flash-fallback",
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AnalysisVersion = "2.0"
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},
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};
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}
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private Dictionary<string, VocabularyAnalysisDto> CreateBasicVocabularyFromText(string inputText, string aiResponse)
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{
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// 從 AI 回應中提取真實的詞彙翻譯
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var words = inputText.Split(' ', StringSplitOptions.RemoveEmptyEntries);
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var result = new Dictionary<string, VocabularyAnalysisDto>();
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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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result[cleanWord] = new VocabularyAnalysisDto
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{
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Word = cleanWord,
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Translation = ExtractTranslationFromAI(cleanWord, aiResponse),
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Definition = $"Please refer to the AI analysis above for detailed definition.",
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PartOfSpeech = "unknown",
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Pronunciation = $"/{cleanWord}/",
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DifficultyLevel = EstimateBasicDifficulty(cleanWord),
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Frequency = "medium",
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Synonyms = new List<string>(),
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Example = null,
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ExampleTranslation = null,
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};
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}
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return result;
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}
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private string ExtractTranslationFromAI(string word, string aiResponse)
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{
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// 嘗試從 AI 回應中提取該詞的翻譯
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// 這是簡化版本，真正的版本應該解析完整的 JSON
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if (aiResponse.Contains(word, StringComparison.OrdinalIgnoreCase))
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{
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return $"{word} translation from AI";
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}
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return $"{word} - 請查看完整分析";
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}
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private string EstimateBasicDifficulty(string word)
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{
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// 基本詞彙列表（這是最小的 fallback 邏輯）
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var a1Words = new[] { "i", "you", "he", "she", "it", "we", "they", "the", "a", "an", "is", "are", "was", "were", "have", "do", "go", "get", "see", "know" };
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var a2Words = new[] { "make", "think", "come", "take", "use", "work", "call", "try", "ask", "need", "feel", "become", "leave", "put", "say", "tell", "turn", "move" };
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var lowerWord = word.ToLower();
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if (a1Words.Contains(lowerWord)) return "A1";
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if (a2Words.Contains(lowerWord)) return "A2";
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if (word.Length <= 4) return "A2";
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if (word.Length <= 6) return "B1";
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return "B2";
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}
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private async Task<string> CallGeminiAPI(string prompt)
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{
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try
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{
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var requestBody = new
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{
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contents = new[]
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{
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new
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{
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parts = new[]
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{
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new { text = prompt }
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}
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}
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},
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generationConfig = new
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{
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temperature = _options.Temperature,
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topK = 40,
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topP = 0.95,
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maxOutputTokens = _options.MaxOutputTokens
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}
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};
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var json = JsonSerializer.Serialize(requestBody);
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var content = new StringContent(json, Encoding.UTF8, "application/json");
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var response = await _httpClient.PostAsync($"{_options.BaseUrl}/v1beta/models/{_options.Model}:generateContent?key={_options.ApiKey}", content);
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response.EnsureSuccessStatusCode();
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var responseJson = await response.Content.ReadAsStringAsync();
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_logger.LogInformation("Raw Gemini API response: {Response}", responseJson.Substring(0, Math.Min(500, responseJson.Length)));
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// 先嘗試使用動態解析來避免反序列化問題
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using var document = JsonDocument.Parse(responseJson);
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var root = document.RootElement;
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string aiText = string.Empty;
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// 檢查是否有 candidates 陣列
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if (root.TryGetProperty("candidates", out var candidatesElement) && candidatesElement.ValueKind == JsonValueKind.Array)
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{
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_logger.LogInformation("Found candidates array with {Count} items", candidatesElement.GetArrayLength());
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var firstCandidate = candidatesElement.EnumerateArray().FirstOrDefault();
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if (firstCandidate.ValueKind != JsonValueKind.Undefined)
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{
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if (firstCandidate.TryGetProperty("content", out var contentElement))
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{
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if (contentElement.TryGetProperty("parts", out var partsElement) && partsElement.ValueKind == JsonValueKind.Array)
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{
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var firstPart = partsElement.EnumerateArray().FirstOrDefault();
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if (firstPart.TryGetProperty("text", out var textElement))
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{
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aiText = textElement.GetString() ?? string.Empty;
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_logger.LogInformation("Successfully extracted text: {Length} characters", aiText.Length);
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}
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}
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}
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}
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}
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// 檢查是否有安全過濾
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if (root.TryGetProperty("promptFeedback", out var feedbackElement))
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{
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_logger.LogWarning("Gemini prompt feedback received: {Feedback}", feedbackElement.ToString());
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}
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_logger.LogInformation("Gemini API returned: {ResponseLength} characters", aiText.Length);
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if (!string.IsNullOrEmpty(aiText))
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{
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_logger.LogInformation("AI text preview: {Preview}", aiText.Substring(0, Math.Min(200, aiText.Length)));
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}
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// 如果沒有獲取到文本且有安全過濾回饋，返回友好訊息
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if (string.IsNullOrWhiteSpace(aiText) && root.TryGetProperty("promptFeedback", out _))
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{
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return "The content analysis is temporarily unavailable due to safety filtering. Please try with different content.";
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}
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return aiText;
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}
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catch (Exception ex)
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{
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_logger.LogError(ex, "Gemini API call failed");
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throw;
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}
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}
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public async Task<string> GenerateImageDescriptionAsync(Flashcard flashcard, GenerationOptionsDto options)
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{
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try
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{
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_logger.LogInformation("Starting image description generation for flashcard {FlashcardId}", flashcard.Id);
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var prompt = BuildImageDescriptionPrompt(flashcard, options);
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var response = await CallGeminiAPI(prompt);
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if (string.IsNullOrWhiteSpace(response))
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{
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throw new InvalidOperationException("Gemini API returned empty response");
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}
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var description = ExtractImageDescription(response);
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var optimizedPrompt = OptimizeForReplicate(description, options);
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_logger.LogInformation("Image description generated successfully for flashcard {FlashcardId}", flashcard.Id);
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return optimizedPrompt;
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}
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catch (Exception ex)
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{
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_logger.LogError(ex, "Image description generation failed for flashcard {FlashcardId}", flashcard.Id);
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throw;
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}
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}
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private string BuildImageDescriptionPrompt(Flashcard flashcard, GenerationOptionsDto options)
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{
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return $@"# 總覽
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你是一位專業插畫設計師兼職英文老師，專門為英語學習教材製作插畫圖卡，用來幫助學生理解英文例句的意思。
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# 例句資訊
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例句：{flashcard.Example}
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# SOP
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1. 根據上述英文例句，請撰寫一段圖像描述提示詞，用於提供圖片生成AI作為生成圖片的提示詞
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2. 請將下方「風格指南」的所有要求加入提示詞中
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3. 並於圖片提示詞最後加上：「Absolutely no visible text, characters, letters, numbers, symbols, handwriting, labels, or any form of writing anywhere in the image — including on signs, books, clothing, screens, or backgrounds.」
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# 圖片提示詞規範
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## 情境清楚
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1. 角色描述具體清楚
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2. 動作明確具象
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3. 場景明確具體
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4. 物品明確具體
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5. 語意需與原句一致
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6. 避免過於抽象或象徵性符號
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## 風格指南
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- 風格類型：扁平插畫（Flat Illustration）
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- 線條特徵：無描邊線條（outline-less）
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- 色調：暖色調、柔和、低飽和
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- 人物樣式：簡化卡通人物，表情自然，不誇張
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- 背景構成：圖形簡化，使用色塊區分層次
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- 整體氛圍：溫馨、平靜、適合教育情境
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- 技術風格：無紋理、無漸層、無光影寫實感
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|
||
請根據以上規範，為這個英文例句生成圖片描述提示詞，並確保完全符合風格指南要求。";
|
||
}
|
||
|
||
private string ExtractImageDescription(string geminiResponse)
|
||
{
|
||
// 從 Gemini 回應中提取圖片描述
|
||
var description = geminiResponse.Trim();
|
||
|
||
// 移除可能的 markdown 標記
|
||
if (description.StartsWith("```"))
|
||
{
|
||
var lines = description.Split('\n');
|
||
description = string.Join('\n', lines.Skip(1).SkipLast(1));
|
||
}
|
||
|
||
return description.Trim();
|
||
}
|
||
|
||
private string OptimizeForReplicate(string description, GenerationOptionsDto options)
|
||
{
|
||
var optimizedPrompt = description;
|
||
|
||
// 確保包含扁平插畫風格要求
|
||
if (!optimizedPrompt.Contains("flat illustration"))
|
||
{
|
||
optimizedPrompt += ". Style guide: flat illustration style, outline-less shapes, warm and soft color tones, low saturation, cartoon-style characters with natural expressions, simplified background with color blocks, cozy and educational atmosphere, no texture, no gradients, no photorealism, no fantasy elements.";
|
||
}
|
||
|
||
// 強制加入禁止文字的規則
|
||
if (!optimizedPrompt.Contains("Absolutely no visible text"))
|
||
{
|
||
optimizedPrompt += " Absolutely no visible text, characters, letters, numbers, symbols, handwriting, labels, or any form of writing anywhere in the image — including on signs, books, clothing, screens, or backgrounds.";
|
||
}
|
||
|
||
return optimizedPrompt;
|
||
}
|
||
}
|
||
|
||
// Gemini API response models
|
||
internal class GeminiApiResponse
|
||
{
|
||
public List<GeminiCandidate>? Candidates { get; set; }
|
||
public object? PromptFeedback { get; set; }
|
||
}
|
||
|
||
internal class GeminiCandidate
|
||
{
|
||
public GeminiContent? Content { get; set; }
|
||
}
|
||
|
||
internal class GeminiContent
|
||
{
|
||
public List<GeminiPart>? Parts { get; set; }
|
||
}
|
||
|
||
internal class GeminiPart
|
||
{
|
||
public string? Text { get; set; }
|
||
}
|
||
|
||
// AI Response JSON Models
|
||
internal class AiAnalysisResponse
|
||
{
|
||
public string? SentenceTranslation { get; set; }
|
||
public bool HasGrammarErrors { get; set; }
|
||
public List<AiGrammarCorrection>? GrammarCorrections { get; set; }
|
||
public Dictionary<string, AiVocabularyAnalysis>? VocabularyAnalysis { get; set; }
|
||
public List<AiIdiom>? Idioms { get; set; }
|
||
}
|
||
|
||
internal class AiGrammarCorrection
|
||
{
|
||
public string? Original { get; set; }
|
||
public string? Corrected { get; set; }
|
||
public string? Type { get; set; }
|
||
public string? Explanation { get; set; }
|
||
}
|
||
|
||
internal class AiVocabularyAnalysis
|
||
{
|
||
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 string? Frequency { get; set; }
|
||
public List<string>? Synonyms { get; set; }
|
||
public string? Example { get; set; }
|
||
public string? ExampleTranslation { get; set; }
|
||
}
|
||
|
||
internal class AiIdiom
|
||
{
|
||
public string? Idiom { get; set; }
|
||
public string? Translation { get; set; }
|
||
public string? Definition { get; set; }
|
||
public string? Pronunciation { get; set; }
|
||
public string? DifficultyLevel { get; set; }
|
||
public string? Frequency { get; set; }
|
||
public List<string>? Synonyms { get; set; }
|
||
public string? Example { get; set; }
|
||
public string? ExampleTranslation { get; set; }
|
||
} |