307 lines
16 KiB
C#
307 lines
16 KiB
C#
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using FutureMailAPI.DTOs;
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namespace FutureMailAPI.Services
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{
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public class AIAssistantService : IAIAssistantService
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{
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private readonly ILogger<AIAssistantService> _logger;
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public AIAssistantService(ILogger<AIAssistantService> logger)
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{
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_logger = logger;
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}
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public async Task<ApiResponse<WritingAssistantResponseDto>> GetWritingAssistanceAsync(WritingAssistantRequestDto request)
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{
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try
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{
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// 在实际应用中，这里会调用真实的AI服务（如OpenAI GPT）
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// 目前我们使用模拟数据
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var response = new WritingAssistantResponseDto
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{
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Content = GenerateWritingContent(request),
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Suggestions = GenerateWritingSuggestions(request),
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EstimatedTime = EstimateWritingTime(request)
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};
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return ApiResponse<WritingAssistantResponseDto>.SuccessResult(response);
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}
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catch (Exception ex)
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{
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_logger.LogError(ex, "获取写作辅助时发生错误");
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return ApiResponse<WritingAssistantResponseDto>.ErrorResult("获取写作辅助失败");
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}
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}
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public async Task<ApiResponse<SentimentAnalysisResponseDto>> AnalyzeSentimentAsync(SentimentAnalysisRequestDto request)
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{
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try
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{
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// 在实际应用中，这里会调用真实的情感分析服务
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// 目前我们使用模拟数据
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var response = AnalyzeSentiment(request.Content);
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return ApiResponse<SentimentAnalysisResponseDto>.SuccessResult(response);
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}
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catch (Exception ex)
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{
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_logger.LogError(ex, "分析情感时发生错误");
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return ApiResponse<SentimentAnalysisResponseDto>.ErrorResult("情感分析失败");
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}
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}
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public async Task<ApiResponse<FuturePredictionResponseDto>> PredictFutureAsync(FuturePredictionRequestDto request)
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{
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try
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{
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// 在实际应用中，这里会调用真实的预测服务
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// 目前我们使用模拟数据
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var response = GenerateFuturePrediction(request);
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return ApiResponse<FuturePredictionResponseDto>.SuccessResult(response);
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}
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catch (Exception ex)
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{
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_logger.LogError(ex, "预测未来时发生错误");
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return ApiResponse<FuturePredictionResponseDto>.ErrorResult("未来预测失败");
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}
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}
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private string GenerateWritingContent(WritingAssistantRequestDto request)
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{
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// 模拟AI生成内容
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return request.Type switch
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{
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WritingAssistantType.OUTLINE => GenerateOutline(request.Prompt, request.Tone, request.Length),
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WritingAssistantType.DRAFT => GenerateDraft(request.Prompt, request.Tone, request.Length),
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WritingAssistantType.COMPLETE => GenerateCompleteContent(request.Prompt, request.Tone, request.Length),
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_ => "抱歉，无法生成内容。"
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};
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}
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private string GenerateOutline(string prompt, WritingTone tone, WritingLength length)
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{
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return $"基于您的提示\"{prompt}\"，我为您生成了以下大纲：\n\n1. 引言\n2. 主要观点\n3. 支持论据\n4. 结论\n\n这个大纲适合{GetToneDescription(tone)}的写作风格，预计可以写成{GetLengthDescription(length)}的内容。";
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}
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private string GenerateDraft(string prompt, WritingTone tone, WritingLength length)
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{
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return $"关于\"{prompt}\"的草稿：\n\n{GetToneDescription(tone)}的开场白...\n\n主要内容的初步构思...\n\n需要进一步完善的结尾部分。\n\n这是一个初步草稿，您可以根据需要进一步修改和完善。";
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}
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private string GenerateCompleteContent(string prompt, WritingTone tone, WritingLength length)
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{
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return $"关于\"{prompt}\"的完整内容：\n\n{GetToneDescription(tone)}的开场白，引出主题...\n\n详细阐述主要观点，包含丰富的细节和例子...\n\n深入分析并提供有力的支持论据...\n\n{GetToneDescription(tone)}的结尾，总结全文并留下深刻印象。\n\n这是一篇完整的{GetLengthDescription(length)}文章，您可以直接使用或根据需要进行微调。";
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}
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private List<string> GenerateWritingSuggestions(WritingAssistantRequestDto request)
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{
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var suggestions = new List<string>();
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switch (request.Type)
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{
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case WritingAssistantType.OUTLINE:
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suggestions.Add("考虑添加更多子论点来丰富大纲结构");
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suggestions.Add("为每个主要观点添加关键词或简短描述");
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break;
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case WritingAssistantType.DRAFT:
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suggestions.Add("添加更多具体例子来支持您的观点");
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suggestions.Add("考虑调整段落顺序以改善逻辑流程");
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break;
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case WritingAssistantType.COMPLETE:
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suggestions.Add("检查语法和拼写错误");
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suggestions.Add("考虑添加过渡词来改善段落间的连接");
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break;
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}
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suggestions.Add($"尝试使用{GetToneDescription(request.Tone)}的表达方式");
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suggestions.Add($"考虑将内容调整到{GetLengthDescription(request.Length)}的长度");
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return suggestions;
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}
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private int EstimateWritingTime(WritingAssistantRequestDto request)
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{
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return request.Type switch
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{
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WritingAssistantType.OUTLINE => 5,
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WritingAssistantType.DRAFT => 15,
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WritingAssistantType.COMPLETE => 30,
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_ => 10
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};
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}
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private string GetToneDescription(WritingTone tone)
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{
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return tone switch
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{
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WritingTone.FORMAL => "正式",
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WritingTone.CASUAL => "轻松随意",
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WritingTone.EMOTIONAL => "情感丰富",
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WritingTone.INSPIRATIONAL => "鼓舞人心",
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_ => "中性"
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};
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}
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private string GetLengthDescription(WritingLength length)
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{
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return length switch
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{
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WritingLength.SHORT => "简短",
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WritingLength.MEDIUM => "中等长度",
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WritingLength.LONG => "长篇",
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_ => "适中"
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};
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}
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private SentimentAnalysisResponseDto AnalyzeSentiment(string content)
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{
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// 模拟情感分析
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var random = new Random();
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// 简单的关键词分析（实际应用中应使用更复杂的算法）
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var positiveKeywords = new[] { "开心", "快乐", "爱", "美好", "成功", "希望", "感谢", "幸福" };
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var negativeKeywords = new[] { "悲伤", "难过", "失败", "痛苦", "失望", "愤怒", "焦虑", "恐惧" };
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var positiveCount = positiveKeywords.Count(keyword => content.Contains(keyword));
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var negativeCount = negativeKeywords.Count(keyword => content.Contains(keyword));
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SentimentType sentiment;
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if (positiveCount > negativeCount)
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sentiment = SentimentType.POSITIVE;
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else if (negativeCount > positiveCount)
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sentiment = SentimentType.NEGATIVE;
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else if (positiveCount > 0 && negativeCount > 0)
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sentiment = SentimentType.MIXED;
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else
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sentiment = SentimentType.NEUTRAL;
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var emotions = new List<EmotionScore>();
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// 根据情感类型生成情绪分数
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switch (sentiment)
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{
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case SentimentType.POSITIVE:
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emotions.Add(new EmotionScore { Type = EmotionType.HAPPY, Score = 0.8 });
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emotions.Add(new EmotionScore { Type = EmotionType.HOPEFUL, Score = 0.6 });
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emotions.Add(new EmotionScore { Type = EmotionType.GRATEFUL, Score = 0.5 });
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break;
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case SentimentType.NEGATIVE:
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emotions.Add(new EmotionScore { Type = EmotionType.SAD, Score = 0.8 });
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emotions.Add(new EmotionScore { Type = EmotionType.ANXIOUS, Score = 0.6 });
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emotions.Add(new EmotionScore { Type = EmotionType.CONFUSED, Score = 0.4 });
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break;
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case SentimentType.MIXED:
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emotions.Add(new EmotionScore { Type = EmotionType.NOSTALGIC, Score = 0.7 });
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emotions.Add(new EmotionScore { Type = EmotionType.HOPEFUL, Score = 0.5 });
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emotions.Add(new EmotionScore { Type = EmotionType.SAD, Score = 0.4 });
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break;
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default:
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emotions.Add(new EmotionScore { Type = EmotionType.CONFUSED, Score = 0.3 });
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emotions.Add(new EmotionScore { Type = EmotionType.HOPEFUL, Score = 0.3 });
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break;
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}
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// 提取关键词（简单实现）
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var words = content.Split(new[] { ' ', ',', '.', '!', '?', ';', ':', '，', '。', '！', '？', '；', '：' }, StringSplitOptions.RemoveEmptyEntries);
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var keywords = words.Where(word => word.Length > 3).GroupBy(word => word)
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.OrderByDescending(g => g.Count())
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.Take(5)
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.Select(g => g.Key)
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.ToList();
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// 生成摘要
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var summary = content.Length > 100 ? content.Substring(0, 100) + "..." : content;
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return new SentimentAnalysisResponseDto
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{
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Sentiment = sentiment,
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Confidence = 0.7 + random.NextDouble() * 0.3, // 0.7-1.0之间的随机数
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Emotions = emotions,
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Keywords = keywords,
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Summary = summary
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};
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}
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private FuturePredictionResponseDto GenerateFuturePrediction(FuturePredictionRequestDto request)
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{
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// 模拟未来预测
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var random = new Random();
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var prediction = request.Type switch
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{
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PredictionType.CAREER => GenerateCareerPrediction(request.Content, request.DaysAhead),
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PredictionType.RELATIONSHIP => GenerateRelationshipPrediction(request.Content, request.DaysAhead),
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PredictionType.HEALTH => GenerateHealthPrediction(request.Content, request.DaysAhead),
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PredictionType.FINANCIAL => GenerateFinancialPrediction(request.Content, request.DaysAhead),
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PredictionType.PERSONAL_GROWTH => GeneratePersonalGrowthPrediction(request.Content, request.DaysAhead),
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_ => "无法进行预测。"
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};
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var factors = GeneratePredictionFactors(request.Type);
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var suggestions = GeneratePredictionSuggestions(request.Type);
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return new FuturePredictionResponseDto
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{
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Prediction = prediction,
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Confidence = 0.6 + random.NextDouble() * 0.4, // 0.6-1.0之间的随机数
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Factors = factors,
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Suggestions = suggestions
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};
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}
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private string GenerateCareerPrediction(string content, int daysAhead)
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{
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return $"基于您提供的信息\"{content}\"，预测在未来{daysAhead}天内，您可能会遇到新的职业机会。这可能是一个晋升机会、一个新项目或是一个学习新技能的机会。建议您保持开放的心态，积极接受挑战，这将有助于您的职业发展。";
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}
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private string GenerateRelationshipPrediction(string content, int daysAhead)
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{
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return $"根据您描述的\"{content}\"，预测在未来{daysAhead}天内，您的人际关系可能会有积极的变化。可能会与老朋友重新联系，或者结识新的朋友。建议您保持真诚和开放的态度，这将有助于建立更深厚的人际关系。";
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}
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private string GenerateHealthPrediction(string content, int daysAhead)
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{
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return $"基于您提供的\"{content}\"信息，预测在未来{daysAhead}天内，您的健康状况可能会有所改善。建议您保持良好的作息习惯，适当运动，并注意饮食均衡。这些小的改变可能会带来显著的健康效益。";
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}
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private string GenerateFinancialPrediction(string content, int daysAhead)
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{
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return $"根据您描述的\"{content}\"，预测在未来{daysAhead}天内，您的财务状况可能会趋于稳定。可能会有意外的收入或节省开支的机会。建议您制定合理的预算计划，并考虑长期投资策略。";
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}
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private string GeneratePersonalGrowthPrediction(string content, int daysAhead)
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{
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return $"基于您分享的\"{content}\"，预测在未来{daysAhead}天内，您将有机会在个人成长方面取得进展。可能会发现新的兴趣爱好，或者在学习新技能方面取得突破。建议您保持好奇心，勇于尝试新事物。";
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}
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private List<string> GeneratePredictionFactors(PredictionType type)
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{
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return type switch
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{
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PredictionType.CAREER => new List<string> { "行业趋势", "个人技能", "经济环境", "人脉资源" },
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PredictionType.RELATIONSHIP => new List<string> { "沟通方式", "共同兴趣", "价值观", "情感需求" },
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PredictionType.HEALTH => new List<string> { "生活习惯", "遗传因素", "环境因素", "心理状态" },
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PredictionType.FINANCIAL => new List<string> { "收入水平", "消费习惯", "投资决策", "市场环境" },
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PredictionType.PERSONAL_GROWTH => new List<string> { "学习能力", "自我认知", "生活经历", "目标设定" },
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_ => new List<string> { "未知因素" }
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};
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}
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private List<string> GeneratePredictionSuggestions(PredictionType type)
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{
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return type switch
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{
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PredictionType.CAREER => new List<string> { "持续学习新技能", "扩展人脉网络", "设定明确的职业目标", "保持积极的工作态度" },
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PredictionType.RELATIONSHIP => new List<string> { "保持真诚沟通", "尊重他人观点", "定期维护关系", "表达感激之情" },
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PredictionType.HEALTH => new List<string> { "保持规律作息", "均衡饮食", "适量运动", "定期体检" },
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PredictionType.FINANCIAL => new List<string> { "制定预算计划", "减少不必要开支", "考虑长期投资", "建立应急基金" },
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PredictionType.PERSONAL_GROWTH => new List<string> { "设定学习目标", "尝试新体验", "反思自我", "寻求反馈" },
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_ => new List<string> { "保持积极态度" }
|
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};
|
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}
|
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}
|
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}
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