using FutureMailAPI.DTOs;

namespace FutureMailAPI.Services
{
    public class AIAssistantService : IAIAssistantService
    {
        private readonly ILogger<AIAssistantService> _logger;
        
        public AIAssistantService(ILogger<AIAssistantService> logger)
        {
            _logger = logger;
        }
        
        public async Task<ApiResponse<WritingAssistantResponseDto>> GetWritingAssistanceAsync(WritingAssistantRequestDto request)
        {
            try
            {
                // 在实际应用中，这里会调用真实的AI服务（如OpenAI GPT）
                // 目前我们使用模拟数据
                
                var response = new WritingAssistantResponseDto
                {
                    Content = GenerateWritingContent(request),
                    Suggestions = GenerateWritingSuggestions(request),
                    EstimatedTime = EstimateWritingTime(request)
                };
                
                return ApiResponse<WritingAssistantResponseDto>.SuccessResult(response);
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "获取写作辅助时发生错误");
                return ApiResponse<WritingAssistantResponseDto>.ErrorResult("获取写作辅助失败");
            }
        }
        
        public async Task<ApiResponse<SentimentAnalysisResponseDto>> AnalyzeSentimentAsync(SentimentAnalysisRequestDto request)
        {
            try
            {
                // 在实际应用中，这里会调用真实的情感分析服务
                // 目前我们使用模拟数据
                
                var response = AnalyzeSentiment(request.Content);
                
                return ApiResponse<SentimentAnalysisResponseDto>.SuccessResult(response);
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "分析情感时发生错误");
                return ApiResponse<SentimentAnalysisResponseDto>.ErrorResult("情感分析失败");
            }
        }
        
        public async Task<ApiResponse<FuturePredictionResponseDto>> PredictFutureAsync(FuturePredictionRequestDto request)
        {
            try
            {
                // 在实际应用中，这里会调用真实的预测服务
                // 目前我们使用模拟数据
                
                var response = GenerateFuturePrediction(request);
                
                return ApiResponse<FuturePredictionResponseDto>.SuccessResult(response);
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "预测未来时发生错误");
                return ApiResponse<FuturePredictionResponseDto>.ErrorResult("未来预测失败");
            }
        }
        
        private string GenerateWritingContent(WritingAssistantRequestDto request)
        {
            // 模拟AI生成内容
            return request.Type switch
            {
                WritingAssistantType.OUTLINE => GenerateOutline(request.Prompt, request.Tone, request.Length),
                WritingAssistantType.DRAFT => GenerateDraft(request.Prompt, request.Tone, request.Length),
                WritingAssistantType.COMPLETE => GenerateCompleteContent(request.Prompt, request.Tone, request.Length),
                _ => "抱歉，无法生成内容。"
            };
        }
        
        private string GenerateOutline(string prompt, WritingTone tone, WritingLength length)
        {
            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。";
        }
        
        private string GenerateDraft(string prompt, WritingTone tone, WritingLength length)
        {
            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。";
        }
        
        private string GenerateCompleteContent(string prompt, WritingTone tone, WritingLength length)
        {
            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。";
        }
        
        private List<string> GenerateWritingSuggestions(WritingAssistantRequestDto request)
        {
            var suggestions = new List<string>();
            
            switch (request.Type)
            {
                case WritingAssistantType.OUTLINE:
                    suggestions.Add("考虑添加更多子论点来丰富大纲结构");
                    suggestions.Add("为每个主要观点添加关键词或简短描述");
                    break;
                case WritingAssistantType.DRAFT:
                    suggestions.Add("添加更多具体例子来支持您的观点");
                    suggestions.Add("考虑调整段落顺序以改善逻辑流程");
                    break;
                case WritingAssistantType.COMPLETE:
                    suggestions.Add("检查语法和拼写错误");
                    suggestions.Add("考虑添加过渡词来改善段落间的连接");
                    break;
            }
            
            suggestions.Add($"尝试使用{GetToneDescription(request.Tone)}的表达方式");
            suggestions.Add($"考虑将内容调整到{GetLengthDescription(request.Length)}的长度");
            
            return suggestions;
        }
        
        private int EstimateWritingTime(WritingAssistantRequestDto request)
        {
            return request.Type switch
            {
                WritingAssistantType.OUTLINE => 5,
                WritingAssistantType.DRAFT => 15,
                WritingAssistantType.COMPLETE => 30,
                _ => 10
            };
        }
        
        private string GetToneDescription(WritingTone tone)
        {
            return tone switch
            {
                WritingTone.FORMAL => "正式",
                WritingTone.CASUAL => "轻松随意",
                WritingTone.EMOTIONAL => "情感丰富",
                WritingTone.INSPIRATIONAL => "鼓舞人心",
                _ => "中性"
            };
        }
        
        private string GetLengthDescription(WritingLength length)
        {
            return length switch
            {
                WritingLength.SHORT => "简短",
                WritingLength.MEDIUM => "中等长度",
                WritingLength.LONG => "长篇",
                _ => "适中"
            };
        }
        
        private SentimentAnalysisResponseDto AnalyzeSentiment(string content)
        {
            // 模拟情感分析
            var random = new Random();
            
            // 简单的关键词分析（实际应用中应使用更复杂的算法）
            var positiveKeywords = new[] { "开心", "快乐", "爱", "美好", "成功", "希望", "感谢", "幸福" };
            var negativeKeywords = new[] { "悲伤", "难过", "失败", "痛苦", "失望", "愤怒", "焦虑", "恐惧" };
            
            var positiveCount = positiveKeywords.Count(keyword => content.Contains(keyword));
            var negativeCount = negativeKeywords.Count(keyword => content.Contains(keyword));
            
            SentimentType sentiment;
            if (positiveCount > negativeCount)
                sentiment = SentimentType.POSITIVE;
            else if (negativeCount > positiveCount)
                sentiment = SentimentType.NEGATIVE;
            else if (positiveCount > 0 && negativeCount > 0)
                sentiment = SentimentType.MIXED;
            else
                sentiment = SentimentType.NEUTRAL;
            
            var emotions = new List<EmotionScore>();
            
            // 根据情感类型生成情绪分数
            switch (sentiment)
            {
                case SentimentType.POSITIVE:
                    emotions.Add(new EmotionScore { Type = EmotionType.HAPPY, Score = 0.8 });
                    emotions.Add(new EmotionScore { Type = EmotionType.HOPEFUL, Score = 0.6 });
                    emotions.Add(new EmotionScore { Type = EmotionType.GRATEFUL, Score = 0.5 });
                    break;
                case SentimentType.NEGATIVE:
                    emotions.Add(new EmotionScore { Type = EmotionType.SAD, Score = 0.8 });
                    emotions.Add(new EmotionScore { Type = EmotionType.ANXIOUS, Score = 0.6 });
                    emotions.Add(new EmotionScore { Type = EmotionType.CONFUSED, Score = 0.4 });
                    break;
                case SentimentType.MIXED:
                    emotions.Add(new EmotionScore { Type = EmotionType.NOSTALGIC, Score = 0.7 });
                    emotions.Add(new EmotionScore { Type = EmotionType.HOPEFUL, Score = 0.5 });
                    emotions.Add(new EmotionScore { Type = EmotionType.SAD, Score = 0.4 });
                    break;
                default:
                    emotions.Add(new EmotionScore { Type = EmotionType.CONFUSED, Score = 0.3 });
                    emotions.Add(new EmotionScore { Type = EmotionType.HOPEFUL, Score = 0.3 });
                    break;
            }
            
            // 提取关键词（简单实现）
            var words = content.Split(new[] { ' ', ',', '.', '!', '?', ';', ':', '，', '。', '！', '？', '；', '：' }, StringSplitOptions.RemoveEmptyEntries);
            var keywords = words.Where(word => word.Length > 3).GroupBy(word => word)
                .OrderByDescending(g => g.Count())
                .Take(5)
                .Select(g => g.Key)
                .ToList();
            
            // 生成摘要
            var summary = content.Length > 100 ? content.Substring(0, 100) + "..." : content;
            
            return new SentimentAnalysisResponseDto
            {
                Sentiment = sentiment,
                Confidence = 0.7 + random.NextDouble() * 0.3, // 0.7-1.0之间的随机数
                Emotions = emotions,
                Keywords = keywords,
                Summary = summary
            };
        }
        
        private FuturePredictionResponseDto GenerateFuturePrediction(FuturePredictionRequestDto request)
        {
            // 模拟未来预测
            var random = new Random();
            
            var prediction = request.Type switch
            {
                PredictionType.CAREER => GenerateCareerPrediction(request.Content, request.DaysAhead),
                PredictionType.RELATIONSHIP => GenerateRelationshipPrediction(request.Content, request.DaysAhead),
                PredictionType.HEALTH => GenerateHealthPrediction(request.Content, request.DaysAhead),
                PredictionType.FINANCIAL => GenerateFinancialPrediction(request.Content, request.DaysAhead),
                PredictionType.PERSONAL_GROWTH => GeneratePersonalGrowthPrediction(request.Content, request.DaysAhead),
                _ => "无法进行预测。"
            };
            
            var factors = GeneratePredictionFactors(request.Type);
            var suggestions = GeneratePredictionSuggestions(request.Type);
            
            return new FuturePredictionResponseDto
            {
                Prediction = prediction,
                Confidence = 0.6 + random.NextDouble() * 0.4, // 0.6-1.0之间的随机数
                Factors = factors,
                Suggestions = suggestions
            };
        }
        
        private string GenerateCareerPrediction(string content, int daysAhead)
        {
            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。";
        }
        
        private string GenerateRelationshipPrediction(string content, int daysAhead)
        {
            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。";
        }
        
        private string GenerateHealthPrediction(string content, int daysAhead)
        {
            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。";
        }
        
        private string GenerateFinancialPrediction(string content, int daysAhead)
        {
            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。";
        }
        
        private string GeneratePersonalGrowthPrediction(string content, int daysAhead)
        {
            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。";
        }
        
        private List<string> GeneratePredictionFactors(PredictionType type)
        {
            return type switch
            {
                PredictionType.CAREER => new List<string> { "行业趋势", "个人技能", "经济环境", "人脉资源" },
                PredictionType.RELATIONSHIP => new List<string> { "沟通方式", "共同兴趣", "价值观", "情感需求" },
                PredictionType.HEALTH => new List<string> { "生活习惯", "遗传因素", "环境因素", "心理状态" },
                PredictionType.FINANCIAL => new List<string> { "收入水平", "消费习惯", "投资决策", "市场环境" },
                PredictionType.PERSONAL_GROWTH => new List<string> { "学习能力", "自我认知", "生活经历", "目标设定" },
                _ => new List<string> { "未知因素" }
            };
        }
        
        private List<string> GeneratePredictionSuggestions(PredictionType type)
        {
            return type switch
            {
                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" },
                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" },
                PredictionType.HEALTH => new List<string> { "保持规律作息", "均衡饮食", "适量运动", "定期体检" },
                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" },
                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" },
                _ => new List<string> { "保持积极态度" }
            };
        }
    }
}