290 lines
10 KiB
C#
290 lines
10 KiB
C#
using Microsoft.AspNetCore.Mvc;
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using Microsoft.EntityFrameworkCore;
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using DramaLing.Api.Data;
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using Microsoft.AspNetCore.Authorization;
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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/[controller]")]
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[Authorize]
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public class StatsController : ControllerBase
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{
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private readonly DramaLingDbContext _context;
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public StatsController(DramaLingDbContext context)
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{
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_context = context;
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}
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private Guid GetUserId()
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{
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var userIdString = User.FindFirst(ClaimTypes.NameIdentifier)?.Value ??
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User.FindFirst("sub")?.Value;
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if (Guid.TryParse(userIdString, out var userId))
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return userId;
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throw new UnauthorizedAccessException("Invalid user ID");
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}
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[HttpGet("dashboard")]
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public async Task<ActionResult> GetDashboardStats()
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{
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try
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{
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var userId = GetUserId();
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var today = DateOnly.FromDateTime(DateTime.Today);
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// 並行獲取統計數據
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var totalWordsTask = _context.Flashcards.CountAsync(f => f.UserId == userId);
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var recentCardsTask = _context.Flashcards
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.Where(f => f.UserId == userId)
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.OrderByDescending(f => f.LastReviewedAt ?? f.CreatedAt)
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.Take(4)
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.Select(f => new
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{
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f.Word,
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f.Translation,
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Status = f.MasteryLevel >= 80 ? "learned" :
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f.MasteryLevel >= 40 ? "learning" : "new"
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})
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.ToListAsync();
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var todayStatsTask = _context.DailyStats
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.FirstOrDefaultAsync(ds => ds.UserId == userId && ds.Date == today);
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// 等待所有查詢完成
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await Task.WhenAll(totalWordsTask, recentCardsTask, todayStatsTask);
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var totalWords = await totalWordsTask;
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var recentCards = await recentCardsTask;
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var todayStats = await todayStatsTask;
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// 計算統計數據
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var wordsToday = todayStats?.WordsStudied ?? 0;
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var wordsCorrect = todayStats?.WordsCorrect ?? 0;
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var accuracy = wordsToday > 0 ? (int)Math.Round((double)wordsCorrect / wordsToday * 100) : 85;
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// 模擬連續天數 (Phase 1 簡化)
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var streakDays = 7;
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var todayReviewCount = 23; // 模擬數據
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return Ok(new
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{
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Success = true,
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Data = new
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{
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TotalWords = totalWords,
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WordsToday = wordsToday,
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StreakDays = streakDays,
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AccuracyPercentage = accuracy,
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TodayReviewCount = todayReviewCount,
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CompletedToday = wordsToday,
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RecentWords = recentCards.Count > 0 ? recentCards.Cast<object>().ToList() : new List<object>
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{
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new { Word = "negotiate", Translation = "協商", Status = "learned" },
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new { Word = "accomplish", Translation = "完成", Status = "learning" },
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new { Word = "perspective", Translation = "觀點", Status = "new" },
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new { Word = "substantial", Translation = "大量的", Status = "learned" }
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},
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CardSets = new object[0] // 移除 CardSet 功能
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}
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});
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}
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catch (UnauthorizedAccessException)
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{
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return Unauthorized(new { Success = false, Error = "Unauthorized" });
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}
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catch (Exception ex)
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{
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return StatusCode(500, new
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{
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Success = false,
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Error = "Failed to fetch dashboard stats",
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Timestamp = DateTime.UtcNow
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});
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}
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}
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[HttpGet("trends")]
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public async Task<ActionResult> GetTrends([FromQuery] string period = "week")
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{
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try
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{
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var userId = GetUserId();
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var days = period switch
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{
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"week" => 7,
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"month" => 30,
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"year" => 365,
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_ => 7
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};
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var endDate = DateOnly.FromDateTime(DateTime.Today);
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var startDate = endDate.AddDays(-days + 1);
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var dailyStats = await _context.DailyStats
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.Where(ds => ds.UserId == userId && ds.Date >= startDate && ds.Date <= endDate)
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.OrderBy(ds => ds.Date)
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.ToListAsync();
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// 生成完整的日期序列
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var dateRange = Enumerable.Range(0, days)
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.Select(i => startDate.AddDays(i))
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.ToList();
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var statsMap = dailyStats.ToDictionary(ds => ds.Date, ds => ds);
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var completeStats = dateRange.Select(date =>
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{
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var stat = statsMap.GetValueOrDefault(date);
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return new
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{
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Date = date.ToString("yyyy-MM-dd"),
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WordsStudied = stat?.WordsStudied ?? 0,
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WordsCorrect = stat?.WordsCorrect ?? 0,
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StudyTimeSeconds = stat?.StudyTimeSeconds ?? 0,
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SessionCount = stat?.SessionCount ?? 0,
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CardsGenerated = stat?.CardsGenerated ?? 0,
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Accuracy = stat != null && stat.WordsStudied > 0
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? (int)Math.Round((double)stat.WordsCorrect / stat.WordsStudied * 100)
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: 0
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};
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}).ToList();
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// 計算總結數據
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var totalWordsStudied = completeStats.Sum(s => s.WordsStudied);
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var totalCorrect = completeStats.Sum(s => s.WordsCorrect);
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var totalStudyTime = completeStats.Sum(s => s.StudyTimeSeconds);
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var totalSessions = completeStats.Sum(s => s.SessionCount);
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var averageAccuracy = totalWordsStudied > 0
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? (int)Math.Round((double)totalCorrect / totalWordsStudied * 100)
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: 0;
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return Ok(new
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{
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Success = true,
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Data = new
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{
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Period = period,
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DateRange = new
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{
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Start = startDate.ToString("yyyy-MM-dd"),
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End = endDate.ToString("yyyy-MM-dd")
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},
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DailyCounts = completeStats,
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Summary = new
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{
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TotalWordsStudied = totalWordsStudied,
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TotalCorrect = totalCorrect,
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TotalStudyTimeSeconds = totalStudyTime,
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TotalSessions = totalSessions,
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AverageAccuracy = averageAccuracy,
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AverageDailyWords = (int)Math.Round((double)totalWordsStudied / days),
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AverageSessionDuration = totalSessions > 0
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? totalStudyTime / totalSessions
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: 0
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}
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}
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});
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}
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catch (UnauthorizedAccessException)
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{
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return Unauthorized(new { Success = false, Error = "Unauthorized" });
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}
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catch (Exception ex)
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{
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return StatusCode(500, new
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{
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Success = false,
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Error = "Failed to fetch learning trends",
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Timestamp = DateTime.UtcNow
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});
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}
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}
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[HttpGet("detailed")]
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public async Task<ActionResult> GetDetailedStats()
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{
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try
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{
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var userId = GetUserId();
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// 獲取詞卡統計
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var flashcards = await _context.Flashcards
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.Where(f => f.UserId == userId)
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.ToListAsync();
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// 按難度分類
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var difficultyStats = flashcards
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.GroupBy(f => f.DifficultyLevel ?? "unknown")
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.ToDictionary(g => g.Key, g => g.Count());
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// 按詞性分類
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var partOfSpeechStats = flashcards
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.GroupBy(f => f.PartOfSpeech ?? "unknown")
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.ToDictionary(g => g.Key, g => g.Count());
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// 掌握度分布
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var masteryDistribution = new
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{
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Mastered = flashcards.Count(f => f.MasteryLevel >= 80),
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Learning = flashcards.Count(f => f.MasteryLevel >= 40 && f.MasteryLevel < 80),
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New = flashcards.Count(f => f.MasteryLevel < 40)
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};
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// 最近30天的學習記錄 (模擬數據)
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var learningCurve = Enumerable.Range(0, 30)
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.Select(i =>
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{
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var date = DateTime.Today.AddDays(-29 + i);
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var accuracy = 70 + new Random(date.DayOfYear).Next(-15, 25); // 模擬準確率
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return new
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{
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Date = date.ToString("yyyy-MM-dd"),
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Accuracy = Math.Clamp(accuracy, 0, 100),
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Count = new Random(date.DayOfYear).Next(0, 15)
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};
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}).ToList();
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return Ok(new
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{
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Success = true,
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Data = new
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{
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ByDifficulty = difficultyStats,
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ByPartOfSpeech = partOfSpeechStats,
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MasteryDistribution = masteryDistribution,
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LearningCurve = learningCurve,
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Summary = new
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{
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TotalCards = flashcards.Count,
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AverageMastery = flashcards.Count > 0
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? (int)flashcards.Average(f => f.MasteryLevel)
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: 0,
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OverallAccuracy = flashcards.Count > 0 && flashcards.Sum(f => f.TimesReviewed) > 0
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? (int)Math.Round((double)flashcards.Sum(f => f.TimesCorrect) / flashcards.Sum(f => f.TimesReviewed) * 100)
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: 0
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}
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}
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});
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}
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catch (UnauthorizedAccessException)
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{
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return Unauthorized(new { Success = false, Error = "Unauthorized" });
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}
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catch (Exception ex)
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{
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return StatusCode(500, new
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{
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Success = false,
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Error = "Failed to fetch detailed statistics",
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Timestamp = DateTime.UtcNow
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});
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}
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}
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} |