fix: Ajustes de aparencia do PDF

VideoStudy.API/Program.cs

@@ -97,7 +97,7 @@ app.MapGet("/api/video-info", async (string url, AnalysisService service) =>
 {
     try
     {
-        var info = await service.GetVideoInfoAsync(url);
+        var info = await service.GetVideoInfoAsync(url, CancellationToken.None);
         return Results.Ok(info);
     }
     catch (Exception ex)
@@ -108,9 +108,9 @@ app.MapGet("/api/video-info", async (string url, AnalysisService service) =>
 .WithName("GetVideoInfo");
 
 // Main analysis endpoint
-app.MapPost("/api/analyze", async (AnalysisRequest request, AnalysisService service) =>
+app.MapPost("/api/analyze", (AnalysisRequest request, AnalysisService service, CancellationToken cancellationToken) =>
 {
-    return await service.AnalyzeVideoAsync(request);
+    return service.AnalyzeVideoAsync(request, cancellationToken);
 })
 .WithName("AnalyzeVideo");
 

VideoStudy.API/Services/AnalysisService.cs

@@ -1,16 +1,16 @@
 using System.Diagnostics;
-using System.Text.RegularExpressions;
+using System.Runtime.CompilerServices;
 using System.Text.Json;
+using System.Text.RegularExpressions;
+using System.Threading;
 using Microsoft.SemanticKernel;
 using Microsoft.SemanticKernel.ChatCompletion;
+using PuppeteerSharp;
 using QuestPDF.Fluent;
 using QuestPDF.Helpers;
 using QuestPDF.Infrastructure;
-using PuppeteerSharp;
-using VideoStudy.Shared;
 using SkiaSharp;
-using System.Linq;
+using VideoStudy.Shared;
-using System.Security.Cryptography; // Added for MD5 hash
 
 namespace VideoStudy.API.Services;
 
@@ -18,20 +18,18 @@ public class AnalysisService
 {
     private readonly Kernel _kernel;
     private readonly ILogger<AnalysisService> _logger;
-    private readonly List<string> _debugSteps = new();
 
     public AnalysisService(Kernel kernel, ILogger<AnalysisService> logger)
     {
         _kernel = kernel;
         _logger = logger;
         QuestPDF.Settings.License = LicenseType.Community;
-        
+
         Task.Run(async () => {
-            try 
+            try
             {
                 var browserFetcher = new BrowserFetcher();
                 await browserFetcher.DownloadAsync();
-                _logger.LogInformation("Chromium ready.");
             }
             catch (Exception ex)
             {
@@ -40,12 +38,6 @@ public class AnalysisService
         });
     }
 
-    private void AddLog(string message)
-    {
-        _logger.LogInformation(message);
-        _debugSteps.Add($"[{DateTime.Now:HH:mm:ss}] {message}");
-    }
-
     private string GetYtDlpPath()
     {
         if (System.Runtime.InteropServices.RuntimeInformation.IsOSPlatform(System.Runtime.InteropServices.OSPlatform.Windows))
@@ -73,559 +65,217 @@ public class AnalysisService
         }
     }
 
-    public async Task<VideoInfo> GetVideoInfoAsync(string url)
+    public async IAsyncEnumerable<AnalysisEvent> AnalyzeVideoAsync(AnalysisRequest request, [EnumeratorCancellation] CancellationToken cancellationToken = default)
     {
-        var ytDlpPath = GetYtDlpPath();
-        var startInfo = new ProcessStartInfo
-        {
-            FileName = ytDlpPath,
-            Arguments = $"--print title --print channel --print duration --print thumbnail \"{url}\"",
-            RedirectStandardOutput = true,
-            RedirectStandardError = true,
-            UseShellExecute = false,
-            CreateNoWindow = true
-        };
-
-        using var proc = Process.Start(startInfo) ?? throw new Exception("Failed to start yt-dlp");
-        var output = await proc.StandardOutput.ReadToEndAsync();
-        var error = await proc.StandardError.ReadToEndAsync();
-        await proc.WaitForExitAsync();
-
-        if (proc.ExitCode != 0)
-            throw new Exception($"yt-dlp error: {error}");
-
-        var lines = output.Trim().Split('\n', StringSplitOptions.RemoveEmptyEntries);
-        var title = lines.Length > 0 ? lines[0].Trim() : "Unknown";
-        var channel = lines.Length > 1 ? lines[1].Trim() : "Unknown";
-        var durationStr = lines.Length > 2 ? lines[2].Trim() : "0";
-        var thumbnail = lines.Length > 3 ? lines[3].Trim() : "";
-
-        double.TryParse(durationStr, System.Globalization.NumberStyles.Any,
-            System.Globalization.CultureInfo.InvariantCulture, out var durationSeconds);
-
-        return new VideoInfo
-        {
-            Title = title,
-            Author = channel,
-            Duration = TimeSpan.FromSeconds(durationSeconds),
-            Url = url,
-            ThumbnailUrl = thumbnail
-        };
-    }
-
-    public async Task<AnalysisResponse> AnalyzeVideoAsync(AnalysisRequest request)
-    {
-        _debugSteps.Clear();
         var tempDir = Path.Combine(Path.GetTempPath(), "VideoStudy", Guid.NewGuid().ToString());
         Directory.CreateDirectory(tempDir);
-        AddLog($"📁 Inciando processamento em: {tempDir}");
-
-        string rawLlmResponse = "";
-
-        // Get video info early to use duration for timestamp validation
-        AddLog("ℹ️ Obtendo informações do vídeo para validação de timestamps...");
-        var videoInfo = await GetVideoInfoAsync(request.VideoUrl);
-        AddLog($"✅ Duração do vídeo (via yt-dlp): {videoInfo.Duration:hh\\:mm\\:ss}");
 
         try
         {
-            // --- Step 1: Transcription ---
+            yield return new AnalysisEvent { ProgressPercentage = 5, Message = "Iniciando análise técnica..." };
-            AddLog("🌐 Obtendo transcrição via yt-dlp...");
-            var (transcript, originalTitle) = await GetTranscriptViaYtDlpAsync(request.VideoUrl, request.Language, tempDir);
-            
-            if (string.IsNullOrWhiteSpace(transcript))
-                throw new Exception("Não foi possível obter a transcrição do vídeo.");
 
-            AddLog($"✅ Transcrição obtida: '{originalTitle}' ({transcript.Length} chars).");
+            var videoInfo = await GetVideoInfoAsync(request.VideoUrl, cancellationToken);
+            yield return new AnalysisEvent { ProgressPercentage = 10, Message = $"Processando: {videoInfo.Title}" };
 
-            // --- Step 2: Intelligence ---
+            yield return new AnalysisEvent { ProgressPercentage = 15, Message = "Obtendo transcrição..." };
-            AddLog("🧠 Enviando transcrição para o Groq (LLM)...");
+            var (transcript, _) = await GetTranscriptViaYtDlpAsync(request.VideoUrl, request.Language, tempDir);
-            var (tutorialSections, rawJson, category, docTitle) = await GenerateTutorialContentAsync(transcript, originalTitle, request.Language, request.OutputLanguage, videoInfo.Duration);
+            if (string.IsNullOrWhiteSpace(transcript)) throw new Exception("Transcrição indisponível.");
-            rawLlmResponse = rawJson;
-            
-            // Save debug MD
-            var debugFile = Path.Combine(Directory.GetCurrentDirectory(), "DEBUG_LAST_RESPONSE.md");
-            var debugContent = $"# {docTitle} ({category})\n\nSource: {originalTitle}\n\n## Raw JSON\n```json\n{rawJson}\n```\n";
-            await File.WriteAllTextAsync(debugFile, debugContent);
-            AddLog($"📝 Arquivo de debug gerado: {debugFile}");
 
-            // --- Validate and adjust Image Timestamps ---
+            yield return new AnalysisEvent { ProgressPercentage = 40, Message = "IA estruturando conteúdo e gerando resumo..." };
-            AddLog("⏳ Validando timestamps de imagem gerados pela IA...");
+            var (sections, rawJson, category, docTitle, summary) = await GenerateTutorialContentAsync(transcript, videoInfo, request.Language, request.OutputLanguage, cancellationToken);
-            foreach (var section in tutorialSections)
+
+            var sectionsToCapture = sections.Where(s => !string.IsNullOrEmpty(s.ImageTimestamp)).ToList();
+            if (sectionsToCapture.Any())
             {
-                if (TimeSpan.TryParse(section.ImageTimestamp, out var imageTs))
+                yield return new AnalysisEvent { ProgressPercentage = 70, Message = $"Capturando {sectionsToCapture.Count} imagens críticas..." };
-                {
+                await CaptureScreenshotsInParallelAsync(request.VideoUrl, sectionsToCapture, videoInfo.Duration, cancellationToken);
-                    // Allow for a small buffer (e.g., 5 seconds) just in case, but prefer strict bounds.
-                    // If timestamp is more than 5 seconds past video end, consider it invalid.
-                    if (imageTs.TotalSeconds > videoInfo.Duration.TotalSeconds + 5) 
-                    {
-                        AddLog($"  ⚠️ Timestamp de imagem ({section.ImageTimestamp}) para '{section.Title}' excede a duração do vídeo ({videoInfo.Duration:hh\\:mm\\:ss}). Ajustando para null para evitar erros de captura.");
-                        section.ImageTimestamp = null; // Set to null to skip screenshot for this section
-                    }
-                }
-            }
-            AddLog("✅ Validação de timestamps concluída.");
-
-            // --- Step 3: Image Capture ---
-            var sectionsWithImages = tutorialSections.Where(s => !string.IsNullOrEmpty(s.ImageTimestamp)).ToList();
-            if (sectionsWithImages.Any())
-            {
-                AddLog($"📸 Capturando {sectionsWithImages.Count} prints usando Puppeteer (Direct Bypass)...");
-                // Pass videoInfo.Duration to the screenshot method
-                await CaptureScreenshotsWithPuppeteerAsync(request.VideoUrl, tutorialSections, tempDir, videoInfo.Duration);
-            }
-            else
-            {
-                AddLog("⚠️ Nenhuma tag [SCREENSHOT] foi gerada pela IA, ou todas foram invalidadas.");
             }
 
-            // --- Step 4: PDF Generation ---
+            yield return new AnalysisEvent { ProgressPercentage = 90, Message = "Gerando PDF..." };
-            AddLog("📄 Gerando PDF final com QuestPDF...");
+            var pdfBytes = GeneratePdf(docTitle, summary, request.VideoUrl, sections, category);
-            var pdfBytes = GeneratePdf(docTitle, request.VideoUrl, tutorialSections, category);
 
-            AddLog("🎉 Processamento concluído com sucesso!");
+            var result = new AnalysisResult
-
-            return new AnalysisResponse
             {
-                Status = "success",
+                VideoTitle = videoInfo.Title,
-                VideoTitle = originalTitle,
                 DocumentTitle = docTitle,
+                Summary = summary,
                 Category = category,
                 Transcript = transcript,
-                TutorialSections = tutorialSections,
+                TutorialSections = sections,
                 PdfData = pdfBytes,
-                DebugSteps = new List<string>(_debugSteps),
+                RawLlmResponse = rawJson
-                RawLlmResponse = rawLlmResponse,
-                Analysis = "Tutorial gerado com sucesso!"
-            };
-        }
-        catch (Exception ex)
-        {
-            AddLog($"❌ ERRO: {ex.Message}");
-            return new AnalysisResponse 
-            { 
-                Status = "error", 
-                ErrorMessage = ex.Message,
-                DebugSteps = new List<string>(_debugSteps),
-                RawLlmResponse = rawLlmResponse
             };
+
+            yield return new AnalysisEvent { ProgressPercentage = 100, Message = "Concluído!", Result = result };
         }
         finally
         {
-            if (Directory.Exists(tempDir))
+            if (Directory.Exists(tempDir)) try { Directory.Delete(tempDir, true); } catch { }
-            {
-                try { Directory.Delete(tempDir, true); } catch { }
-            }
         }
     }
 
-    private async Task<(string transcript, string title)> GetTranscriptViaYtDlpAsync(string url, string language, string outputDir)
+    private async Task CaptureScreenshotsInParallelAsync(string videoUrl, List<TutorialSection> sections, TimeSpan videoDuration, CancellationToken ct)
     {
-        var ytDlpPath = GetYtDlpPath();
+        var rawUrl = await GetRawVideoStreamUrl(videoUrl);
-        // Use a safe output template to avoid filesystem issues, but we want the title.
+        if (string.IsNullOrEmpty(rawUrl)) return;
-        // Better: Fetch title separately or read metadata json.
+        using var sem = new SemaphoreSlim(3);
-        // Let's stick to filename trick but ensure safe chars. 
+        await Task.WhenAll(sections.Select(s => ProcessSingleSection(s, rawUrl, videoDuration, sem, ct)));
-        // Actually, just fetch title with --print title
-        
-        // 1. Fetch Title
-        var titleStartInfo = new ProcessStartInfo
-        {
-            FileName = ytDlpPath,
-            Arguments = $"--print title \"{url}\"",
-            RedirectStandardOutput = true,
-            UseShellExecute = false,
-            CreateNoWindow = true
-        };
-        var pTitle = Process.Start(titleStartInfo);
-        var title = (await pTitle!.StandardOutput.ReadToEndAsync()).Trim();
-        await pTitle.WaitForExitAsync();
-        if (string.IsNullOrEmpty(title)) title = "Video Analysis";
-
-        // 2. Fetch Subs
-        var arguments = $"--skip-download --write-sub --write-auto-sub --sub-lang {language},en --sub-format vtt --output \"%(id)s\" \"{url}\"";
-        
-        var startInfo = new ProcessStartInfo
-        {
-            FileName = ytDlpPath,
-            Arguments = arguments,
-            WorkingDirectory = outputDir,
-            RedirectStandardOutput = true,
-            RedirectStandardError = true,
-            UseShellExecute = false,
-            CreateNoWindow = true
-        };
-
-        using var proc = Process.Start(startInfo);
-        await proc.WaitForExitAsync();
-
-        var vttFile = Directory.GetFiles(outputDir, "*.vtt").FirstOrDefault();
-        if (vttFile == null) return (string.Empty, title);
-
-        return (ParseVttToText(await File.ReadAllTextAsync(vttFile)), title);
     }
 
-    private string ParseVttToText(string vttContent)
+    private async Task ProcessSingleSection(TutorialSection section, string rawUrl, TimeSpan duration, SemaphoreSlim sem, CancellationToken ct)
     {
-        var lines = vttContent.Split('\n');
+        await sem.WaitAsync(ct);
-        var textLines = new List<string>();
-        var seen = new HashSet<string>();
-
-        foreach (var line in lines)
-        {
-            var l = line.Trim();
-            if (string.IsNullOrWhiteSpace(l) || l.StartsWith("WEBVTT") || l.StartsWith("NOTE") || l.Contains("-->")) continue;
-            l = Regex.Replace(l, @"<[^>]*>", "");
-            if (!seen.Contains(l)) { textLines.Add(l); seen.Add(l); }
-        }
-        return string.Join(" ", textLines);
-    }
-
-    private async Task<(List<TutorialSection> sections, string rawJson, string category, string docTitle)> GenerateTutorialContentAsync(string transcript, string originalTitle, string inputLanguage, string? outputLanguage, TimeSpan videoDuration)
-    {
-        var langMap = new Dictionary<string, string>
-        {
-            {"en", "English"}, {"pt", "Portuguese (Brazilian)"}, {"es", "Spanish"},
-            {"fr", "French"}, {"de", "German"}, {"it", "Italian"},
-            {"ja", "Japanese"}, {"ko", "Korean"}, {"zh", "Chinese"}
-        };
-        var outputLang = string.IsNullOrWhiteSpace(outputLanguage) ? inputLanguage : outputLanguage;
-        var outputLangName = langMap.GetValueOrDefault(outputLang, outputLang);
-
-        var chatService = _kernel.GetRequiredService<IChatCompletionService>();
-
-        // Pre-format video duration strings to avoid potential issues in interpolated string
-        string formattedVideoDuration = videoDuration.ToString("hh\\:mm\\:ss", System.Globalization.CultureInfo.InvariantCulture);
-        string totalSecondsVideoDuration = videoDuration.TotalSeconds.ToString(System.Globalization.CultureInfo.InvariantCulture);
-
-
-        var prompt = $@"
-Você é um Editor Chefe e Analista de Conteúdo Sênior.
-Receberá:
-A) TÍTULO ORIGINAL: {originalTitle}
-B) TRANSCRIÇÃO: {transcript[..Math.Min(transcript.Length, 20000)]}
-C) DURAÇÃO TOTAL DO VÍDEO: {formattedVideoDuration} ({totalSecondsVideoDuration} segundos)
-
-SUA MISSÃO:
-1. **Classificar** o vídeo em: 'TUTORIAL', 'MEETING', 'LECTURE' ou 'OTHER'.
-2. **Criar um Título Profissional**:
-    - Use o TÍTULO ORIGINAL como base.
-    - Remova clickbaits, emojis e CAPS LOCK excessivo.
-    - O título deve parecer o de um documento técnico ou ata oficial.
-3. **Estruturar o Conteúdo**:
-    - Converta o conteúdo em um texto educativo e denso.
-    - Identifique momentos visuais críticos e insira `[SCREENSHOT: HH:MM:SS]` no final do parágrafo correspondente.
-    - **IMPORTANTE:** Os timestamps `HH:MM:SS` para os `[SCREENSHOT]` **NÃO DEVEM, EM HIPÓTESE ALGUMA, EXCEDER A DURAÇÃO TOTAL DO VÍDEO** ({formattedVideoDuration}). Se um momento visual crítico ocorrer perto do final do vídeo, use um timestamp que esteja dentro da duração total.
-
-**IMPORTANTE: Todo o texto de saída (documentTitle, títulos das seções e conteúdo) DEVE ser escrito em {outputLangName}.**
-
-SAÍDA JSON OBRIGATÓRIA:
-{{
-  ""category"": ""TUTORIAL | MEETING | LECTURE | OTHER"",
-  ""documentTitle"": ""Título Profissional Gerado"",
-  ""sections"": [
-    {{
-       ""title"": ""Título da Seção"",
-       ""content"": ""Texto explicativo detalhado... [SCREENSHOT: 00:05:30]""
-    }}
-  ]
-}}";
-
-        var result = await chatService.GetChatMessageContentAsync(prompt);
-        var json = result.Content?.Trim() ?? "{}";
-        // Extract JSON from LLM response — handles text before/after the JSON block
-        var jsonMatch = Regex.Match(json, @"\{[\s\S]*\}", RegexOptions.Singleline);
-        if (jsonMatch.Success)
-            json = jsonMatch.Value;
-
-        var sections = new List<TutorialSection>();
-        string category = "OTHER";
-        string docTitle = originalTitle;
-
-        try {
-            using var doc = JsonDocument.Parse(json);
-            var root = doc.RootElement;
-            
-            if (root.TryGetProperty("category", out var catEl)) category = catEl.GetString() ?? "OTHER";
-            if (root.TryGetProperty("documentTitle", out var titleEl)) docTitle = titleEl.GetString() ?? originalTitle;
-
-            foreach (var el in root.GetProperty("sections").EnumerateArray()) {
-                var content = el.GetProperty("content").GetString() ?? "";
-                var ts = ExtractTimestamp(content);
-                sections.Add(new TutorialSection { 
-                    Title = el.GetProperty("title").GetString() ?? "", 
-                    Content = content.Replace($"[SCREENSHOT: {ts}]", "").Trim(), 
-                    ImageTimestamp = ts 
-                });
-            }
-        } catch { }
-        return (sections, json, category, docTitle);
-    }
-
-    private string? ExtractTimestamp(string text)
-    {
-        var match = Regex.Match(text, @"\[SCREENSHOT:\s*(\d{2}:\d{2}:\d{2})\]");
-        return match.Success ? match.Groups[1].Value : null;
-    }
-
-    private async Task<string?> GetRawVideoStreamUrl(string videoUrl)
-    {
-        var ytDlpPath = GetYtDlpPath();
-        var startInfo = new ProcessStartInfo
-        {
-            FileName = ytDlpPath,
-            Arguments = $"-g -f b \"{videoUrl}\"",
-            RedirectStandardOutput = true,
-            RedirectStandardError = true,
-            UseShellExecute = false,
-            CreateNoWindow = true
-        };
-
-        using var proc = Process.Start(startInfo);
-        if (proc == null) return null;
-        var url = await proc.StandardOutput.ReadLineAsync();
-        await proc.WaitForExitAsync();
-        return url?.Trim();
-    }
-
-    private async Task CaptureScreenshotsWithPuppeteerAsync(string videoUrl, List<TutorialSection> sections, string outputDir, TimeSpan videoDuration)
-    {
-        var sectionsWithImages = sections.Where(s => !string.IsNullOrEmpty(s.ImageTimestamp)).ToList();
-        if (!sectionsWithImages.Any()) return;
-
-        AddLog("🔍 Obtendo link direto do vídeo (Bypass YouTube Player)...");
-        var rawVideoUrl = await GetRawVideoStreamUrl(videoUrl);
-        if (string.IsNullOrEmpty(rawVideoUrl))
-        {
-            AddLog("❌ Falha ao obter link direto. As capturas de tela serão ignoradas.");
-            return;
-        }
-
         try
         {
-            using var browser = await Puppeteer.LaunchAsync(new LaunchOptions { Headless = true, Args = new[] { "--no-sandbox", "--window-size=1280,720" } });
+            using var browser = await Puppeteer.LaunchAsync(new LaunchOptions { Headless = true, Args = new[] { "--no-sandbox" } });
             using var page = await browser.NewPageAsync();
             await page.SetViewportAsync(new ViewPortOptions { Width = 1280, Height = 720 });
+            await page.SetContentAsync($"<html><body style='margin:0;background:black;'><video id='v' width='1280' height='720' src='{rawUrl}'></video></body></html>");
+            await page.WaitForSelectorAsync("#v");
+            
+            if (!TimeSpan.TryParse(section.ImageTimestamp, out var ts)) return;
+            int target = (int)ts.TotalSeconds;
+            var candidates = new List<(byte[] Data, double Score)>();
 
-            var htmlContent = $@"
+            foreach (var offset in new[] { 0, -1, 1 })
-                <html>
-                <body style='margin:0; background:black; overflow:hidden;'>
-                    <video id='raw-player' width='1280' height='720' muted preload='auto'>
-                        <source src='{rawVideoUrl}' type='video/mp4'>
-                    </video>
-                </body>
-                </html>";
-            await page.SetContentAsync(htmlContent);
-            await page.WaitForSelectorAsync("#raw-player");
-
-            // Use the passed videoDuration instead of evaluating it from the page
-            AddLog($"🎥 Duração total do vídeo (passada): {videoDuration:hh\\:mm\\:ss}");
-
-            // Loop with index for unique identifiers
-            for (int i = 0; i < sectionsWithImages.Count; i++)
             {
-                var section = sectionsWithImages[i];
+                ct.ThrowIfCancellationRequested();
-                // ImageTimestamp might be null due to earlier validation
+                int time = Math.Max(0, target + offset);
-                if (string.IsNullOrEmpty(section.ImageTimestamp))
+                if (time > duration.TotalSeconds) continue;
-                {
+                try {
-                    AddLog($"📸 Pulando captura para seção '{section.Title}' pois o timestamp foi invalidado.");
+                    await page.EvaluateFunctionAsync($"(s) => document.getElementById('v').currentTime = s", time);
-                    continue;
+                    await page.WaitForFunctionAsync("() => document.getElementById('v').readyState >= 3", new WaitForFunctionOptions { Timeout = 5000 });
-                }
+                    var data = await page.ScreenshotDataAsync(new ScreenshotOptions { Type = ScreenshotType.Jpeg, Quality = 85 });
-
+                    var score = CalculateImageClarityScore(data);
-                if (TimeSpan.TryParse(section.ImageTimestamp, out var ts))
+                    if (score > 10) candidates.Add((data, score));
-                {
+                } catch { }
-                    AddLog($"📸 Processando captura para {section.ImageTimestamp} ('{section.Title}')");
-                    var targetSeconds = (int)ts.TotalSeconds;
-                    
-                    var candidates = new List<(byte[] ImageData, double Score, int Time, string Hash, int Size)>();
-                    
-                    // "Best of 3" capture window: T-1, T, T+1 seconds
-                    var timeOffsets = new[] { -1, 0, 1 };
-
-                    foreach (var offset in timeOffsets)
-                    {
-                        var captureTime = Math.Max(0, targetSeconds + offset);
-                        
-                        // Ensure captureTime does not exceed video duration
-                        if (captureTime > videoDuration.TotalSeconds + 5) // Add a small buffer for safety
-                        {
-                            AddLog($"  - ⚠️ Tempo de captura {captureTime}s excede a duração do vídeo ({videoDuration.TotalSeconds:F2}s). Ignorando este candidato.");
-                            continue;
-                        }
-
-                        try
-                        {
-                            AddLog($"  - Solicitando seek para {captureTime}s (candidato para {section.ImageTimestamp}).");
-                            // 1. Seek to the target time
-                            await page.EvaluateFunctionAsync(@"(s) => {{
-                                const video = document.getElementById('raw-player');
-                                video.currentTime = s;
-                            }}", captureTime);
-                            
-                            // 2. Intelligent Wait: Wait for the video to have enough data to play
-                            await page.WaitForFunctionAsync("() => document.getElementById('raw-player').readyState >= 3", new WaitForFunctionOptions { Timeout = 10000 });
-                            
-                            var actualCurrentTime = await page.EvaluateFunctionAsync<double>("() => document.getElementById('raw-player').currentTime");
-                            AddLog($"    -> Buscado para {captureTime}s. CurrentTime real pós-seek: {actualCurrentTime:F2}s.");
-
-                            // 3. Capture screenshot into memory
-                            var screenshotData = await page.ScreenshotDataAsync(new ScreenshotOptions { Type = ScreenshotType.Jpeg, Quality = 90 });
-                            
-                            // Calculate MD5 hash
-                            string hash;
-                            using (var md5 = MD5.Create())
-                            {
-                                var hashBytes = md5.ComputeHash(screenshotData);
-                                hash = BitConverter.ToString(hashBytes).Replace("-", "").ToLowerInvariant();
-                            }
-                            AddLog($"    -> Imagem Candidata ({captureTime}s): {screenshotData.Length} bytes, Hash MD5: {hash}");
-
-                            // 4. Score the image
-                            var score = CalculateImageClarityScore(screenshotData);
-                            AddLog($"  - Candidato {captureTime}s: Score de claridade = {score:F2}");
-
-                            if (score > 0)
-                            {
-                                candidates.Add((screenshotData, score, captureTime, hash, screenshotData.Length));
-                            }
-                        }
-                        catch (WaitTaskTimeoutException)
-                        {
-                            AddLog($"  - ⚠️ Timeout esperando pelo frame em {captureTime}s. Ignorando.");
-                        }
-                        catch (Exception ex)
-                        {
-                            AddLog($"  - ❌ Erro ao capturar frame em {captureTime}s: {ex.Message}");
-                        }
-                    }
-
-                    if (candidates.Any())
-                    {
-                        // Select the best image based on the highest score
-                        var bestCandidate = candidates.OrderByDescending(c => c.Score).First();
-                        section.ImageData = bestCandidate.ImageData;
-                        AddLog($"  => ✅ Selecionado frame de {bestCandidate.Time}s (Score: {bestCandidate.Score:F2}, Hash: {bestCandidate.Hash}) para o timestamp {section.ImageTimestamp}.");
-                    }
-                    else
-                    {
-                        AddLog($"  => ❌ Falha ao capturar um frame válido para {section.ImageTimestamp}. O PDF usará um placeholder.");
-                        section.ImageData = null; // Ensure it's null if all attempts fail
-                    }
-                }
             }
+            if (candidates.Any()) section.ImageData = candidates.OrderByDescending(c => c.Score).First().Data;
         }
-        catch (Exception ex)
+        finally { sem.Release(); }
-        {
-            AddLog($"❌ Erro irrecuperável no Puppeteer: {ex.Message}. As capturas de tela restantes serão abortadas.");
-        }
     }
 
-    private double CalculateImageClarityScore(byte[] imageBytes)
+    public async Task<VideoInfo> GetVideoInfoAsync(string url, CancellationToken ct)
     {
-        if (imageBytes == null || imageBytes.Length == 0)
+        var path = GetYtDlpPath();
-            return -1.0;
+        var proc = Process.Start(new ProcessStartInfo { FileName = path, Arguments = $"--print title --print channel --print duration --print thumbnail --print description \"{url}\"", RedirectStandardOutput = true, UseShellExecute = false, CreateNoWindow = true });
-
+        await proc!.WaitForExitAsync(ct);
-        try
+        var lines = (await proc.StandardOutput.ReadToEndAsync()).Split('\n', StringSplitOptions.RemoveEmptyEntries);
-        {
+        double.TryParse(lines.Length > 2 ? lines[2] : "0", System.Globalization.NumberStyles.Any, System.Globalization.CultureInfo.InvariantCulture, out var sec);
-            // Use SKBitmap.Decode for robust image format handling
+        return new VideoInfo { Title = lines[0].Trim(), Author = lines[1].Trim(), Duration = TimeSpan.FromSeconds(sec), ThumbnailUrl = lines[3].Trim(), Description = lines.Length > 4 ? string.Join("\n", lines.Skip(4)).Trim() : "", Url = url };
-            using var image = SKBitmap.Decode(imageBytes);
-            if (image == null || image.Width == 0 || image.Height == 0)
-            {
-                _logger.LogWarning("SkiaSharp failed to decode image or image is empty.");
-                return -1.0;
-            }
-
-            var brightnessValues = new List<float>(image.Width * image.Height);
-            
-            // Using GetPixel is simpler than handling Pixels array for this use case
-            for (int y = 0; y < image.Height; y++)
-            {
-                for (int x = 0; x < image.Width; x++)
-                {
-                    var p = image.GetPixel(x, y);
-                    // Luma calculation (standard formula for perceived brightness)
-                    var brightness = (p.Red * 0.299f) + (p.Green * 0.587f) + (p.Blue * 0.114f);
-                    brightnessValues.Add(brightness);
-                }
-            }
-            
-            if (!brightnessValues.Any()) return 0.0;
-
-            var avg = brightnessValues.Average();
-            var sumOfSquares = brightnessValues.Sum(b => Math.Pow(b - avg, 2));
-            var stdDev = Math.Sqrt(sumOfSquares / brightnessValues.Count);
-
-            // A very low standard deviation indicates a uniform image (likely black, white, or single color)
-            return stdDev;
-        }
-        catch (Exception ex)
-        {
-            _logger.LogError(ex, "Error calculating image clarity score.");
-            // If SkiaSharp throws an exception, it's a bad image.
-            return -1.0;
-        }
     }
 
-    private byte[] GeneratePdf(string docTitle, string videoUrl, List<TutorialSection> sections, string category)
+    private async Task<(string, string)> GetTranscriptViaYtDlpAsync(string url, string lang, string dir)
     {
-        var categoryColor = category switch 
+        var path = GetYtDlpPath();
-        {
+        var start = new ProcessStartInfo { FileName = path, Arguments = $"--skip-download --write-sub --write-auto-sub --sub-lang {lang},en --sub-format vtt --output \"%(id)s\" \"{url}\"", WorkingDirectory = dir, RedirectStandardOutput = true, UseShellExecute = false, CreateNoWindow = true };
-            "TUTORIAL" => Colors.Green.Medium,
+        using var p = Process.Start(start);
-            "MEETING" => Colors.Orange.Medium,
+        await p!.WaitForExitAsync();
-            "LECTURE" => Colors.Purple.Medium,
+        var file = Directory.GetFiles(dir, "*.vtt").FirstOrDefault();
-            _ => Colors.Blue.Medium
+        return file == null ? ("", "") : (ParseVttToText(await File.ReadAllTextAsync(file)), "");
-        };
+    }
 
-        var document = Document.Create(container =>
+    private string ParseVttToText(string vtt)
-        {
+    {
-            container.Page(page =>
+        var lines = vtt.Split('\n').Select(l => l.Trim()).Where(l => !string.IsNullOrEmpty(l) && !l.StartsWith("WEBVTT") && !l.StartsWith("NOTE") && !l.Contains("-->"));
-            {
+        return string.Join(" ", lines.Select(l => Regex.Replace(l, @"<[^>]*>", ""))).Replace("  ", " ");
+    }
+
+    private async Task<(List<TutorialSection> sections, string rawJson, string category, string docTitle, string summary)> GenerateTutorialContentAsync(string transcript, VideoInfo video, string inLang, string? outLang, CancellationToken ct)
+    {
+        var langMap = new Dictionary<string, string> { {"en", "English"}, {"pt", "Portuguese (Brazilian)"}, {"es", "Spanish"} };
+        var outName = langMap.GetValueOrDefault(outLang ?? inLang, "Portuguese (Brazilian)");
+        var dur = video.Duration.ToString(@"hh\:mm\:ss");
+
+        var prompt = $@"
+Você é um ANALISTA TÉCNICO DE CONTEÚDO especializado em converter vídeos em documentação estruturada.
+
+### REGRAS DE OURO:
+1. NÃO RESUMA: Transforme cada explicação do vídeo em um tópico técnico detalhado e denso.
+2. ISONOMIA: Dedique o mesmo nível de profundidade a todos os tópicos. Se o vídeo explica 5 curiosidades, gere 5 seções extensas.
+3. FOCO NO TÍTULO: Garanta que o tema ""{video.Title}"" seja a seção de maior clareza e detalhamento.
+4. SCREENSHOTS: Insira `[SCREENSHOT: HH:MM:SS]` ao final de parágrafos que descrevam algo visualmente importante. (Limite: {dur}).
+
+### DADOS:
+- Título: {video.Title}
+- Descrição: {video.Description}
+- Transcrição: {transcript[..Math.Min(transcript.Length, 25000)]}
+
+### FORMATO DE SAÍDA (JSON):
+{{
+  ""category"": ""TUTORIAL | MEETING | LECTURE | OTHER"",
+  ""shortTitle"": ""Título Curto e Limpo"",
+  ""summary"": ""Um único parágrafo de até 4 linhas sintetizando o valor principal do vídeo."",
+  ""sections"": [
+    {{ ""title"": ""Título do Tópico"", ""content"": ""Explicação técnica densa... [SCREENSHOT: HH:MM:SS]"" }}
+  ]
+}}
+Escreva tudo em {outName}.";
+
+        var result = await _kernel.GetRequiredService<IChatCompletionService>().GetChatMessageContentAsync(prompt, cancellationToken: ct);
+        var json = Regex.Match(result.Content ?? "{}", @"\{[\s\S]*\}").Value;
+        using var doc = JsonDocument.Parse(json);
+        var root = doc.RootElement;
+        
+        var sections = root.GetProperty("sections").EnumerateArray().Select(el => new TutorialSection {
+            Title = el.GetProperty("title").GetString() ?? "",
+            Content = Regex.Replace(el.GetProperty("content").GetString() ?? "", @"\[SCREENSHOT: \d{2}:\d{2}:\d{2}\]", "").Trim(),
+            ImageTimestamp = Regex.Match(el.GetProperty("content").GetString() ?? "", @"\[SCREENSHOT:\s*(\d{2}:\d{2}:\d{2})\]").Groups[1].Value
+        }).ToList();
+
+        return (sections, json, root.GetProperty("category").GetString() ?? "OTHER", root.GetProperty("shortTitle").GetString() ?? video.Title, root.GetProperty("summary").GetString() ?? "");
+    }
+
+    private async Task<string?> GetRawVideoStreamUrl(string url)
+    {
+        var proc = Process.Start(new ProcessStartInfo { FileName = GetYtDlpPath(), Arguments = $"-g -f b \"{url}\"", RedirectStandardOutput = true, UseShellExecute = false, CreateNoWindow = true });
+        return (await proc!.StandardOutput.ReadLineAsync())?.Trim();
+    }
+
+    private double CalculateImageClarityScore(byte[] bytes)
+    {
+        try {
+            using var img = SKBitmap.Decode(bytes);
+            var lumas = new List<float>();
+            for (int y = 0; y < img.Height; y += 20) for (int x = 0; x < img.Width; x += 20) {
+                var p = img.GetPixel(x,y);
+                lumas.Add(p.Red * 0.299f + p.Green * 0.587f + p.Blue * 0.114f);
+            }
+            var avg = lumas.Average();
+            return Math.Sqrt(lumas.Sum(v => Math.Pow(v - avg, 2)) / lumas.Count);
+        } catch { return -1; }
+    }
+
+    private byte[] GeneratePdf(string title, string summary, string url, List<TutorialSection> sections, string category)
+    {
+        var color = category switch { "TUTORIAL" => Colors.Green.Medium, "MEETING" => Colors.Orange.Medium, _ => Colors.Blue.Medium };
+        return Document.Create(container => {
+            container.Page(page => {
                 page.Margin(2, Unit.Centimetre);
-                page.DefaultTextStyle(x => x.FontSize(11).FontFamily("Segoe UI").Fallback(f => f.FontFamily("Microsoft YaHei")));
+                page.DefaultTextStyle(x => x.FontSize(11).FontFamily("Segoe UI"));
-
+                page.Header().Column(c => {
-                page.Header().Column(c => 
+                    c.Item().Row(r => {
-                {
+                        r.RelativeItem().Text(title).SemiBold().FontSize(22).FontColor(Colors.Blue.Darken3);
-                    c.Item().Row(row => 
+                        r.ConstantItem(80).AlignRight().Text(category).Bold().FontSize(10).FontColor(color);
-                    {
-                        row.RelativeItem().Text(docTitle).SemiBold().FontSize(20).FontColor(Colors.Black);
-                        row.ConstantItem(100).AlignRight().Text(category).Bold().FontSize(10).FontColor(categoryColor);
                     });
                     c.Item().PaddingTop(5).LineHorizontal(1).LineColor(Colors.Grey.Lighten2);
                 });
-
+                page.Content().PaddingVertical(1, Unit.Centimetre).Column(col => {
-                page.Content().PaddingVertical(1, Unit.Centimetre).Column(column =>
+                    // Resumo Section
-                {
+                    col.Item().Background(Colors.Grey.Lighten4).Padding(10).Column(rc => {
-                    column.Item().Text($"Fonte: {videoUrl}").Italic().FontSize(9).FontColor(Colors.Grey.Medium);
+                        rc.Item().Text("Resumo").Bold().FontSize(12).FontColor(Colors.Blue.Medium);
-                    column.Item().PaddingBottom(20);
+                        rc.Item().PaddingTop(2).Text(summary).Italic();
-
+                    });
-                    foreach (var section in sections)
+                    col.Item().PaddingTop(10).Text(t => { t.Span("Fonte: ").SemiBold(); t.Span(url).Italic().FontSize(9); });
-                    {
+                    
-                        column.Item().Text(section.Title).Bold().FontSize(14).FontColor(categoryColor);
+                    foreach (var s in sections) {
-                        column.Item().Text(text => { text.Span(section.Content); });
+                        col.Item().PaddingTop(20).Text(s.Title).Bold().FontSize(16).FontColor(color);
-                        
+                        col.Item().PaddingTop(5).Text(s.Content).LineHeight(1.5f);
-                        if (section.ImageData != null)
+                        if (s.ImageData != null) col.Item().PaddingVertical(10).Image(s.ImageData).FitWidth();
-                        {
-                            column.Item().PaddingVertical(10).Image(section.ImageData).FitWidth();
-                        }
-                        else if (!string.IsNullOrEmpty(section.ImageTimestamp))
-                        {
-                            // Placeholder for missing image (Graceful Degradation)
-                            column.Item().PaddingVertical(10)
-                                  .Background(Colors.Grey.Lighten3)
-                                  .Height(100)
-                                  .AlignCenter()
-                                  .AlignMiddle()
-                                  .Text($"[Imagem Indisponível: {section.ImageTimestamp}]")
-                                  .FontSize(10)
-                                  .FontColor(Colors.Grey.Darken2);
-                        }
-
-                        column.Item().PaddingBottom(15);
                     }
                 });
-
+                page.Footer().AlignCenter().Text(x => { x.Span("VideoStudy.app - "); x.CurrentPageNumber(); });
-                page.Footer().AlignCenter().Text(x => { x.Span("Gerado por VideoStudy.app - "); x.CurrentPageNumber(); });
             });
-        });
+        }).GeneratePdf();
-        return document.GeneratePdf();
     }
 }

VideoStudy.Desktop/VideoStudy.Desktop/Components/Pages/Home.razor

@@ -8,6 +8,7 @@
 @using VideoStudy.Shared
 @using System.Net.Http.Json
 @using System.Text.Json
+@using System.Threading // Added for CancellationTokenSource
 @using VideoStudy.Desktop.Components
 
 <PageTitle>VideoStudy - Video Analysis</PageTitle>
@@ -196,10 +197,11 @@
 
     private void ToggleLogs() => showLogs = !showLogs;
 
-    private void AddLog(string message)
+    private void AddLog(string message, int? eventProgress = null)
     {
         logs.Insert(0, new LogEntry { Message = message });
         if (logs.Count > 100) logs.RemoveAt(logs.Count - 1);
+        if (eventProgress.HasValue) progress = eventProgress.Value; // Update global progress
         StateHasChanged();
     }
 
@@ -239,96 +241,105 @@
         logs.Clear();
         showLogs = true;
 
+        CancellationTokenSource? cancellationTokenSource = null;
+
         try
         {
+            cancellationTokenSource = new CancellationTokenSource();
+            CancellationToken cancellationToken = cancellationTokenSource.Token;
+
             currentStep = 1;
-            statusMessage = "Starting Unified Pipeline...";
+            statusMessage = "Iniciando pipeline unificado...";
-            AddLog("🚀 Starting process (Unified Mode)...");
+            AddLog("🚀 Iniciando processo (modo streaming)...", 0);
 
             string requestVideoUrl = videoUrl;
 
-            // Handle Local File (Simplification: In a real app we'd upload. Here we just error if local for now or assume shared path)
-            // Since we are running on the same machine, we can cheat and pass the path if we save it to a temp location accessible by API?
-            // No, API is separate process. For now, let's prioritize YouTube as requested for the fix.
             if (activeTab == "local" && selectedFile != null)
             {
-                // Upload logic would go here. For now, let's just warn.
+                AddLog("⚠️ Suporte a arquivo local requer implementação de upload para a API. Focando no YouTube por enquanto.");
-                AddLog("⚠️ Local file support requires API upload implementation. Focusing on YouTube for this fix.");
+                throw new NotSupportedException("Análise de arquivos locais não está implementada com o pipeline de streaming atual.");
-                 // In a real scenario:
-                 // var content = new MultipartFormDataContent();
-                 // content.Add(new StreamContent(selectedFile.OpenReadStream(...)), "file", selectedFile.Name);
-                 // await Http.PostAsync("api/upload", content);
-                 // requestVideoUrl = "uploaded_file_path";
             }
 
-            // --- Send Request to API (The API now handles EVERYTHING: Download -> Transcribe -> AI -> PDF) ---
+            // --- Enviar Requisição para a API ---
-            AddLog("📡 Sending request to backend...");
+            AddLog("📡 Enviando requisição para o backend...", 5);
             
-            var request = new AnalysisRequest
+            var requestBody = new AnalysisRequest
             {
                 VideoUrl = requestVideoUrl,
-                Mode = "unified", // No longer used but kept for model compat
+                Mode = "unified",
                 Language = selectedLanguage,
-                TranscriptText = null, // API handles transcription now
+                TranscriptText = null,
                 DurationSeconds = currentVideoInfo?.Duration.TotalSeconds ?? 0
             };
 
-            // Long timeout for the heavy process
+            // Prepare the HTTP request for streaming
-            Http.Timeout = TimeSpan.FromMinutes(10); 
+            var httpRequestMessage = new HttpRequestMessage(HttpMethod.Post, "api/analyze")
-            
-            var response = await Http.PostAsJsonAsync("api/analyze", request);
-            
-            if (!response.IsSuccessStatusCode) 
             {
-                var error = await response.Content.ReadAsStringAsync();
+                Content = JsonContent.Create(requestBody)
-                throw new Exception($"API Error ({response.StatusCode}): {error}");
+            };
-            }
 
-            var json = await response.Content.ReadAsStringAsync();
+            // Use HttpCompletionOption.ResponseHeadersRead to get access to the stream as soon as possible
-            var result = JsonSerializer.Deserialize<AnalysisResponse>(json, new JsonSerializerOptions { PropertyNameCaseInsensitive = true });
+            using var response = await Http.SendAsync(httpRequestMessage, HttpCompletionOption.ResponseHeadersRead, cancellationToken);
+            response.EnsureSuccessStatusCode();
 
-            if (result == null) throw new Exception("Failed to deserialize response");
+            // Read the streaming response
+            var stream = response.Content.ReadFromJsonAsAsyncEnumerable<AnalysisEvent>(new JsonSerializerOptions { PropertyNameCaseInsensitive = true }, cancellationToken);
 
-            // Incorporar logs detalhados da API
+            await foreach (var analysisEvent in stream.WithCancellation(cancellationToken))
-            if (result.DebugSteps != null && result.DebugSteps.Any())
             {
-                foreach (var step in result.DebugSteps)
+                if (analysisEvent == null) continue;
+
+                if (analysisEvent.IsError)
                 {
-                    AddLog($"[API] {step}");
+                    throw new Exception($"Erro da API: {analysisEvent.Message}");
+                }
+
+                AddLog(analysisEvent.Message, analysisEvent.ProgressPercentage);
+                statusMessage = analysisEvent.Message;
+                StateHasChanged();
+
+                if (analysisEvent.Result != null)
+                {
+                    // Final result received
+                    AddLog("✅ Análise completa!", 100);
+
+                    // Save PDF
+                    if (analysisEvent.Result.PdfData != null && analysisEvent.Result.PdfData.Length > 0)
+                    {
+                        // Blazor Hybrid approach: saving directly to Downloads folder
+                        string downloadsPath = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.UserProfile), "Downloads");
+                        string fileName = $"VideoStudy_{DateTime.Now:yyyyMMdd_HHmmss}.pdf";
+                        string fullPath = Path.Combine(downloadsPath, fileName);
+                        
+                        await File.WriteAllBytesAsync(fullPath, analysisEvent.Result.PdfData);
+                        generatedPdfPath = fullPath;
+                        AddLog($"📄 PDF Salvo em: {fullPath}", 100);
+                    }
+                    else
+                    {
+                        AddLog("⚠️ Nenhum dado de PDF retornado da API.", 100);
+                    }
+                    
+                    statusMessage = "Completo!";
+                    break;
                 }
             }
-
+        }
-            if (result.Status == "error") throw new Exception(result.ErrorMessage);
+        catch (OperationCanceledException)
-
+        {
-            AddLog("✅ Analysis Complete!");
+            AddLog("⏸️ Processo cancelado pelo usuário.", progress);
-            progress = 100;
+            statusMessage = "Cancelado";
-
-            // Save PDF
-            if (result.PdfData != null && result.PdfData.Length > 0)
-            {
-                string downloadsPath = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.UserProfile), "Downloads");
-                string fileName = $"VideoStudy_{DateTime.Now:yyyyMMdd_HHmmss}.pdf";
-                string fullPath = Path.Combine(downloadsPath, fileName);
-                
-                await File.WriteAllBytesAsync(fullPath, result.PdfData);
-                generatedPdfPath = fullPath;
-                AddLog($"📄 PDF Saved: {fullPath}");
-            }
-            else
-            {
-                AddLog("⚠️ No PDF data returned from API.");
-            }
-
-            statusMessage = "Completed!";
         }
         catch (Exception ex)
         {
-            AddLog($"❌ Error: {ex.Message}");
+            AddLog($"❌ Erro: {ex.Message}", progress);
-            statusMessage = "Error occurred";
+            statusMessage = "Erro ocorrido";
         }
         finally
         {
             isProcessing = false;
+            cancellationTokenSource?.Dispose();
+            StateHasChanged();
         }
     }
 }

VideoStudy.Shared/Models.cs

@@ -20,6 +20,7 @@ public class AnalysisResponse
 {
     public string VideoTitle { get; set; } = string.Empty;
     public string DocumentTitle { get; set; } = string.Empty; // New
+    public string Summary { get; set; } = string.Empty; // Renamed from ExecutiveSummary
     public string Category { get; set; } = "OTHER"; // New
     public string Transcript { get; set; } = string.Empty;
     public List<KeyMoment> KeyMoments { get; set; } = [];
@@ -65,6 +66,7 @@ public class ProgressUpdate
 public class VideoInfo
 {
     public string Title { get; set; } = string.Empty;
+    public string Description { get; set; } = string.Empty; // Added
     public TimeSpan Duration { get; set; }
     public string Url { get; set; } = string.Empty;
     public string ThumbnailUrl { get; set; } = string.Empty;
@@ -102,4 +104,45 @@ public class DownloadProgress
 public interface IPdfSaver
 {
     Task<string?> SavePdfAsync(byte[] pdfData, string suggestedFileName);
+}
+
+/// <summary>
+/// A single event in the analysis stream.
+/// </summary>
+public class AnalysisEvent
+{
+    /// <summary>
+    /// A user-facing message describing the current step.
+    /// </summary>
+    public string Message { get; set; } = string.Empty;
+
+    /// <summary>
+    /// Progress from 0 to 100.
+    /// </summary>
+    public int ProgressPercentage { get; set; }
+
+    /// <summary>
+    /// The final result of the analysis. Only present in the last event.
+    /// </summary>
+    public AnalysisResult? Result { get; set; }
+
+    /// <summary>
+    /// Set to true if this event represents a critical error that stopped the process.
+    /// </summary>
+    public bool IsError { get; set; } = false;
+}
+
+/// <summary>
+/// The final, consolidated result of a successful analysis.
+/// </summary>
+public class AnalysisResult
+{
+    public string VideoTitle { get; set; } = string.Empty;
+    public string DocumentTitle { get; set; } = string.Empty;
+    public string Summary { get; set; } = string.Empty; // Renamed from ExecutiveSummary
+    public string Category { get; set; } = "OTHER";
+    public string Transcript { get; set; } = string.Empty;
+    public List<TutorialSection> TutorialSections { get; set; } = [];
+    public byte[]? PdfData { get; set; }
+    public string? RawLlmResponse { get; set; }
 }

VideoStudy.UI/Pages/Home.razor

@@ -4,6 +4,7 @@
 @using VideoStudy.Shared
 @using System.Net.Http.Json
 @using System.Text.Json
+@using System.Threading // Added for Cancellation
 
 <PageTitle>VideoStudy - Video Analysis</PageTitle>
 
@@ -203,9 +204,10 @@
 
     private void ToggleLogs() => showLogs = !showLogs;
 
-    private void AddLog(string message)
+    private void AddLog(string message, int? eventProgress = null)
     {
         logs.Insert(0, new LogEntry { Message = message });
+        if (eventProgress.HasValue) progress = eventProgress.Value;
         StateHasChanged();
     }
 
@@ -255,11 +257,13 @@
         logs.Clear();
         showLogs = true;
 
+        CancellationTokenSource? cts = null;
+
         try
         {
             currentStep = 1;
-            statusMessage = "Calling API...";
+            statusMessage = "Iniciando análise...";
-            AddLog("Sending request to API...");
+            AddLog("🚀 Enviando requisição para a API...", 5);
 
             var request = new AnalysisRequest
             {
@@ -269,59 +273,79 @@
                 Mode = "native"
             };
 
-            // Long timeout via CancellationToken (HttpClient.Timeout can't be changed after first request)
+            cts = new CancellationTokenSource();
-            using var cts = new CancellationTokenSource(TimeSpan.FromMinutes(10));
+            var cancellationToken = cts.Token;
 
-            var response = await Http.PostAsJsonAsync("api/analyze", request, cts.Token);
+            var httpRequestMessage = new HttpRequestMessage(HttpMethod.Post, "api/analyze")
+            {
+                Content = JsonContent.Create(request)
+            };
 
+            using var response = await Http.SendAsync(httpRequestMessage, HttpCompletionOption.ResponseHeadersRead, cancellationToken);
+            
             if (!response.IsSuccessStatusCode)
             {
                 var error = await response.Content.ReadAsStringAsync();
                 throw new Exception($"API Error ({response.StatusCode}): {error}");
             }
 
-            var json = await response.Content.ReadAsStringAsync();
+            var stream = response.Content.ReadFromJsonAsAsyncEnumerable<AnalysisEvent>(new JsonSerializerOptions { PropertyNameCaseInsensitive = true }, cancellationToken);
-            var result = JsonSerializer.Deserialize<AnalysisResponse>(json, new JsonSerializerOptions { PropertyNameCaseInsensitive = true });
 
-            if (result == null) throw new Exception("Failed to deserialize response");
+            await foreach (var analysisEvent in stream.WithCancellation(cancellationToken))
-
-            if (result.DebugSteps != null)
             {
-                foreach (var step in result.DebugSteps) AddLog($"[API] {step}");
+                if (analysisEvent == null) continue;
-            }
 
-            if (result.Status == "error") throw new Exception(result.ErrorMessage);
+                if (analysisEvent.IsError)
+                {
+                    throw new Exception($"Erro da API: {analysisEvent.Message}");
+                }
 
-            AddLog("Analysis Complete!");
+                AddLog(analysisEvent.Message, analysisEvent.ProgressPercentage);
-            progress = 100;
+                statusMessage = analysisEvent.Message;
-            statusMessage = "Done!";
+                progress = analysisEvent.ProgressPercentage;
+                StateHasChanged();
 
-            if (result.PdfData != null && result.PdfData.Length > 0)
+                if (analysisEvent.Result != null)
-            {
+                {
-                AddLog("Saving PDF...");
+                    var result = analysisEvent.Result;
-                var fileName = $"VideoStudy_{result.VideoTitle ?? "Tutorial"}_{DateTime.Now:yyyyMMdd_HHmmss}.pdf";
+                    AddLog("✅ Análise concluída!", 100);
-                // Remove invalid filename chars
+                    statusMessage = "Pronto!";
-                fileName = string.Join("_", fileName.Split(Path.GetInvalidFileNameChars()));
+
-                var savedPath = await PdfSaver.SavePdfAsync(result.PdfData, fileName);
+                    if (result.PdfData != null && result.PdfData.Length > 0)
-                if (savedPath != null)
+                    {
-                    AddLog($"PDF saved: {savedPath}");
+                        AddLog("Salvando PDF...");
-                else
+                        var fileName = $"VideoStudy_{result.VideoTitle ?? "Tutorial"}_{DateTime.Now:yyyyMMdd_HHmmss}.pdf";
-                    AddLog("PDF save cancelled by user");
+                        // Remove invalid filename chars
-            }
+                        fileName = string.Join("_", fileName.Split(Path.GetInvalidFileNameChars()));
-            else
+                        var savedPath = await PdfSaver.SavePdfAsync(result.PdfData, fileName);
-            {
+                        if (savedPath != null)
-                AddLog("No PDF data returned from API");
+                            AddLog($"✓ PDF salvo: {savedPath}");
+                        else
+                            AddLog("⚠️ Salvamento do PDF cancelado pelo usuário");
+                    }
+                    else
+                    {
+                        AddLog("⚠️ Nenhum dado de PDF retornado da API");
+                    }
+                    break;
+                }
             }
         }
+        catch (OperationCanceledException)
+        {
+            AddLog("⏸️ Operação cancelada.");
+            statusMessage = "Cancelado";
+        }
         catch (Exception ex)
         {
-            AddLog($"Error: {ex.Message}");
+            AddLog($"❌ Erro: {ex.Message}");
-            statusMessage = "Error";
+            statusMessage = "Erro";
         }
         finally
         {
             isProcessing = false;
             videoInfo = null;
+            cts?.Dispose();
         }
     }
 }