update prompts

meetus/frame_extractor.py

@@ -94,11 +94,21 @@ class FrameExtractor:
         try:
             result = subprocess.run(cmd, capture_output=True, text=True, check=True)
 
-            # Parse output to get frame timestamps
+            # Parse FFmpeg output to get frame timestamps from showinfo filter
+            import re
             frames_info = []
-            for img in sorted(self.output_dir.glob(f"{video_name}_*.jpg")):
+
-                # Extract timestamp from filename or use FFprobe
+            # Extract timestamps from stderr (showinfo outputs there)
-                frames_info.append((str(img), 0.0))  # Timestamp extraction can be enhanced
+            timestamp_pattern = r'pts_time:([\d.]+)'
+            timestamps = re.findall(timestamp_pattern, result.stderr)
+
+            # Match frames to timestamps
+            frame_files = sorted(self.output_dir.glob(f"{video_name}_*.jpg"))
+
+            for idx, img in enumerate(frame_files):
+                # Use extracted timestamp or fallback to index-based estimate
+                timestamp = float(timestamps[idx]) if idx < len(timestamps) else idx * 5.0
+                frames_info.append((str(img), timestamp))
 
             logger.info(f"Extracted {len(frames_info)} frames at scene changes")
             return frames_info

meetus/prompts/code.txt

@@ -1,9 +1,5 @@
-Analyze this code screenshot. Extract:
+You are analyzing a code screenshot from a meeting recording.
-1. Programming language
-2. File name or path (if visible)
-3. Code content (preserve exact formatting)
-4. Comments
-5. Function/class names
-6. Any error messages or warnings
 
-Preserve code exactly as shown.
+Provide a brief description of what's being shown (1-2 sentences about the context), then extract the visible code exactly as it appears, preserving all formatting, indentation, and structure.
+
+If there's no code visible, just describe what you see on screen.

meetus/prompts/console.txt

@@ -1,8 +1,5 @@
-Analyze this console/terminal output. Extract:
+You are analyzing console/terminal output from a meeting recording.
-1. Commands executed
-2. Output/results
-3. Error messages
-4. Warnings or status messages
-5. File paths or URLs
 
-Preserve formatting and structure.
+Provide a brief description of what's happening (1-2 sentences), then extract the visible commands and output exactly as shown, preserving formatting.
+
+Include any error messages, warnings, or important status information.

meetus/prompts/dashboard.txt

@@ -1,9 +1,5 @@
-Analyze this dashboard/monitoring panel. Extract:
+You are analyzing a dashboard/monitoring panel from a meeting recording.
-1. Panel titles and metrics names
-2. Current values and units
-3. Trends (up/down/stable)
-4. Alerts or warnings
-5. Time ranges shown
-6. Any anomalies or notable patterns
 
-Format as structured data.
+Provide a brief description of what's being monitored (1-2 sentences), then list the key panels, metrics, and their current values. Include any alerts, warnings, or notable trends.
+
+Keep it concise and focused on the important information.

meetus/prompts/meeting.txt

@@ -1,10 +1,10 @@
-Analyze this screen capture from a meeting recording. Extract:
+You are analyzing a screen capture from a meeting recording.
-1. Any visible text (titles, labels, headings)
-2. Key metrics, numbers, or data points shown
-3. Dashboard panels or visualizations (describe what they show)
-4. Code snippets (preserve formatting and context)
-5. Console/terminal output (commands and results)
-6. Application names or UI elements
 
-Focus on information that would help someone understand what was being discussed.
+Provide a brief description of what's being shown (1-2 sentences about the context). Then extract the key information:
-Be concise but include all important details. If there's code, preserve it exactly.
+- Any visible text, titles, or headings
+- Code (preserve exact formatting if present)
+- Metrics, data points, or dashboard information
+- Terminal/console commands and output
+- Application or UI elements
+
+Be concise but capture all important details that help understand what was being discussed.