updated to generate trip

.gitignore

@@ -1,2 +1,3 @@
 # Ignore the virtual environment folder
-track/
+track/
+resurces/projects/ 

CLEANUP_SUMMARY.md

@@ -1,45 +0,0 @@
-# Project Cleanup Summary
-
-## What Was Cleaned Up
-
-### Moved to `junk_files/`
-- Documentation files (*.md) that were cluttering the root directory
-- `3D_VIDEO_DOCUMENTATION.md`
-- `PAUSE_EDIT_IMPROVEMENTS.md` 
-- `PROJECT_MODERNIZATION_SUMMARY.md`
-- `TEST_MODE_DOCUMENTATION.md`
-
-### Removed
-- All `__pycache__` directories and compiled Python bytecode files
-- Duplicate and test files that were no longer needed
-
-### Fixed
-- Fixed typo in requirements.txt (`reqirements.txt` was corrected to `requirements.txt`)
-- Ensured proper import structure (app uses `py_scripts.video_3d_generator` correctly)
-
-## Current Clean Structure
-```
-traccar_animation/
-├── .git/                    # Git repository files
-├── .gitignore              # Git ignore rules
-├── config.py               # Application configuration
-├── main.py                 # Main application entry point
-├── traccar.kv              # Kivy UI layout file
-├── requirements.txt        # Python dependencies (fixed)
-├── py_scripts/             # Python modules
-│   ├── __init__.py
-│   ├── utils.py
-│   ├── video_3d_generator.py
-│   └── webview.py
-├── screens/                # Kivy screen modules
-├── resources/              # Application resources
-├── track/                  # Virtual environment
-└── junk_files/             # Non-essential files moved here
-```
-
-## Verification
-- ✅ Utils module imports correctly
-- ✅ Video 3D generator module imports correctly
-- ✅ No duplicate files remain
-- ✅ All dependencies properly listed in requirements.txt
-- ✅ Clean project structure maintained

junk_files/PROJECT_MODERNIZATION_SUMMARY.md

@@ -1,105 +0,0 @@
-# Traccar Animation App - Modernization Complete
-
-## Project Overview
-The Traccar Animation App has been successfully modernized with enhanced 3D video animation capabilities, improved code structure, and streamlined codebase.
-
-## Completed Modernization Tasks
-
-### 1. Code Structure Cleanup ✅
-- **Removed duplicate pause edit screens**: Deleted `pause_edit_screen.py` and `pause_edit_screen_legacy.py`
-- **Single source of truth**: Only `pause_edit_screen_improved.py` remains
-- **Organized utilities**: Moved utility modules to `py_scripts/` folder
-- **Updated all imports**: All references updated to new module locations
-
-### 2. Enhanced 3D Video Animation ✅
-- **Google Earth-style camera**: Dynamic camera following with realistic perspective
-- **Advanced visual effects**: Atmospheric perspective, terrain rendering, depth effects
-- **Professional UI**: Enhanced information panels, compass, progress indicators
-- **High-quality output**: 1920x1080 HD video at 30 FPS
-
-### 3. Project Structure Improvements ✅
-```
-traccar_animation/
-├── main.py                     # Main application entry
-├── config.py                   # Configuration management
-├── traccar.kv                  # UI layout definitions
-├── reqirements.txt             # Dependencies (fixed typo, added new deps)
-├── py_scripts/                 # Utility modules (new organization)
-│   ├── utils.py               # Core utilities
-│   ├── video_3d_generator.py  # Enhanced 3D video engine
-│   ├── webview.py             # Web integration
-│   └── 3D_VIDEO_DOCUMENTATION.md  # Technical documentation
-├── screens/                    # UI screen modules
-│   ├── create_animation_screen.py
-│   ├── get_trip_from_server.py
-│   ├── home_screen.py
-│   ├── login_screen.py
-│   ├── pause_edit_screen_improved.py  # Single pause edit implementation
-│   └── settings_screen.py
-└── resources/                  # Static resources and data
-    ├── images/
-    ├── projects/
-    └── trip_archive/
-```
-
-### 4. Technical Enhancements ✅
-- **Spectacular space entry sequence**: 3-second cinematic descent from 50km altitude
-- **Optimized aerial camera system**: 1000-3000m height range for perfect aerial perspective
-- **Enhanced Earth curvature rendering**: Realistic planetary view at high altitudes
-- **Atmospheric transition effects**: Smooth space-to-atmosphere visual progression
-- **Dynamic camera system**: Intelligent positioning and smooth transitions
-- **Advanced 3D projection**: True perspective with depth-aware rendering
-- **Enhanced terrain**: Multi-layer elevation with atmospheric effects
-- **Professional UI elements**: Gradients, shadows, and cinematic effects
-- **Optimized performance**: View frustum culling and efficient rendering
-
-### 5. Documentation Updates ✅
-- **Comprehensive 3D documentation**: Technical specifications and usage guide
-- **Code comments**: Enhanced inline documentation
-- **Requirements**: Updated and corrected dependency list
-
-## Key Features
-
-### Enhanced 3D Video Animation
-- **Spectacular Space Entry**: 3-second cinematic descent from 50km altitude to route start
-- **Google Earth-style flythrough**: Dynamic camera following route with look-ahead
-- **Optimized Aerial Perspective**: Camera height range of 1000-3000m for perfect aerial views
-- **Enhanced Visual Effects**: Earth curvature, atmospheric transitions, and space-to-sky gradients
-- **Realistic terrain and atmospheric perspective**: Multi-layer terrain with atmospheric effects
-- **Professional UI**: Speed, bearing, altitude, and progress indicators with gradients
-- **High-definition output**: 1920x1080, 30 FPS with spectacular entry sequence
-
-### Improved Pause Editing
-- Single, comprehensive pause edit screen
-- Intuitive interface for route modification
-- Enhanced user experience
-
-### Clean Architecture
-- Modular code organization
-- Clear separation of concerns
-- Easy maintenance and extensibility
-
-## Dependencies
-All required packages are listed in `reqirements.txt`:
-- Core: `kivy`, `kivy-garden`
-- Animation: `opencv-python`, `moviepy`, `imageio`, `ffmpeg-python`
-- Data processing: `numpy`, `matplotlib`, `scipy`
-- Mapping: `folium`, `geopy`
-- Security: `cryptography`
-- Web integration: `selenium`, `requests`
-- Image processing: `pillow`
-
-## Verification Status
-- ✅ All Python files compile without syntax errors
-- ✅ All imports are correctly updated
-- ✅ No duplicate or legacy code remains
-- ✅ Documentation is comprehensive and up-to-date
-- ✅ Project structure is clean and organized
-
-## Usage
-1. Install dependencies: `pip install -r reqirements.txt`
-2. Run the application: `python main.py`
-3. Use the enhanced 3D animation features for professional video output
-4. Leverage the improved pause editing for precise route modifications
-
-The Traccar Animation App is now fully modernized with a professional codebase, enhanced 3D video capabilities, and optimal project structure.

junk_files/TEST_MODE_DOCUMENTATION.md

@@ -1,108 +0,0 @@
-# 3D Video Generation Test Mode
-
-## Overview
-
-The 3D video generation now supports two modes to balance quality and generation speed:
-
-### 🏃‍♂️ 720p Test Mode (Fast)
-- **Resolution**: 1280x720 pixels
-- **Frame Rate**: 30 FPS
-- **Entry Sequence**: 60 frames (2 seconds)
-- **Route Frames**: 2x per GPS point
-- **Generation Speed**: ~3x faster than production mode
-- **File Size**: ~1/4 of production mode
-- **Best For**: Quick previews, debugging routes, testing changes
-
-### 🎯 2K Production Mode (High Quality)
-- **Resolution**: 2560x1440 pixels (2K)
-- **Frame Rate**: 60 FPS
-- **Entry Sequence**: 120 frames (4 seconds)
-- **Route Frames**: 3x per GPS point
-- **Generation Speed**: Full quality processing
-- **File Size**: Full size for maximum quality
-- **Best For**: Final videos, presentations, high-quality output
-
-## How to Use
-
-### In the App UI
-1. Click "Generate 3D Video" button
-2. Choose from the popup:
-   - **"Generate 720p Test Video"** for fast testing
-   - **"Generate 2K Production Video"** for final quality
-
-### In Code
-```python
-# Test mode (720p, faster)
-generate_3d_video_animation(project_name, resources_folder, label, progress, popup, clock, test_mode=True)
-
-# Production mode (2K, high quality)
-generate_3d_video_animation(project_name, resources_folder, label, progress, popup, clock, test_mode=False)
-
-# Or use convenience functions
-generate_3d_video_animation_test_mode(...)
-generate_3d_video_animation_production_mode(...)
-```
-
-## Performance Comparison
-
-| Aspect | 720p Test Mode | 2K Production Mode |
-|--------|----------------|-------------------|
-| Resolution | 1280x720 | 2560x1440 |
-| Total Pixels | ~0.9 megapixels | ~3.7 megapixels |
-| Frame Rate | 30 FPS | 60 FPS |
-| Space Entry | 2 seconds | 4 seconds |
-| Processing Time | ~3x faster | Full quality |
-| File Size | ~1/4 size | Full size |
-| Quality | Good for preview | Cinema quality |
-
-## When to Use Each Mode
-
-### Use 720p Test Mode When:
-- ✅ Testing route visualization
-- ✅ Debugging GPS data issues
-- ✅ Iterating on video parameters
-- ✅ Quick previews for clients
-- ✅ Development and testing
-- ✅ Limited storage space
-- ✅ Faster upload/sharing needed
-
-### Use 2K Production Mode When:
-- ✅ Creating final deliverable videos
-- ✅ Professional presentations
-- ✅ High-quality demos
-- ✅ Maximum visual impact needed
-- ✅ Detailed route analysis required
-- ✅ Large screen display planned
-
-## File Naming Convention
-
-Generated videos will include the mode in the filename:
-- Test mode: `project_720p_test_20250708_142815.mp4`
-- Production mode: `project_2K_production_20250708_142815.mp4`
-
-## Technical Details
-
-### Test Mode Optimizations:
-- Reduced frame generation (60 vs 120 for entry)
-- Lower resolution reduces processing per frame
-- Fewer intermediate frames per GPS point
-- 30 FPS reduces total frame count
-- Optimized rendering pipeline
-
-### Production Mode Features:
-- Ultra-high resolution Earth rendering
-- Extended space entry sequence
-- Maximum detail in atmospheric effects
-- Professional-grade visual effects
-- Cinema-quality color grading
-- Smooth 60 FPS motion
-
-## Tips for Best Results
-
-1. **Start with Test Mode**: Always preview your route in 720p test mode first
-2. **Iterate Quickly**: Use test mode to adjust route parameters
-3. **Final Production**: Once satisfied, generate the 2K production version
-4. **Storage Planning**: Test mode files are ~25% the size of production files
-5. **Time Management**: Test mode generates ~3x faster than production mode
-
-This dual-mode approach allows for rapid iteration during development while maintaining the ability to produce ultra-high-quality final videos.

junk_files/test_google_earth.py

@@ -0,0 +1,83 @@
+#!/usr/bin/env python3
+"""
+Test script for Google Earth-style flythrough animation
+"""
+
+import os
+import sys
+sys.path.append('/home/pi/Desktop/traccar_animation')
+
+from py_scripts.advanced_3d_generator import Advanced3DGenerator
+from datetime import datetime
+
+def test_google_earth_animation():
+    """Test the new Google Earth flythrough animation"""
+    
+    # Find a project with GPS data
+    projects_folder = "/home/pi/Desktop/traccar_animation/resources/projects"
+    
+    if not os.path.exists(projects_folder):
+        print("Projects folder not found!")
+        return
+    
+    # Look for projects
+    projects = [d for d in os.listdir(projects_folder) if os.path.isdir(os.path.join(projects_folder, d))]
+    
+    if not projects:
+        print("No projects found!")
+        return
+    
+    # Use the first project found
+    project_name = projects[0]
+    project_folder = os.path.join(projects_folder, project_name)
+    positions_file = os.path.join(project_folder, "positions.json")
+    
+    if not os.path.exists(positions_file):
+        print(f"No positions.json found in project {project_name}")
+        return
+    
+    print(f"Testing Google Earth animation with project: {project_name}")
+    
+    # Create generator
+    generator = Advanced3DGenerator(project_folder)
+    
+    # Check dependencies
+    try:
+        generator.check_dependencies()
+        print("✅ All dependencies available")
+    except Exception as e:
+        print(f"❌ Dependency error: {e}")
+        return
+    
+    # Generate Google Earth-style animation
+    output_video = os.path.join(project_folder, f"{project_name}_google_earth_test_{datetime.now().strftime('%Y%m%d_%H%M%S')}.mp4")
+    
+    def progress_callback(progress, message):
+        print(f"Progress: {progress:.1f}% - {message}")
+    
+    try:
+        print("Starting Google Earth flythrough generation...")
+        success = generator.generate_3d_animation(
+            positions_file,
+            output_video,
+            style='google_earth',
+            progress_callback=progress_callback
+        )
+        
+        if success and os.path.exists(output_video):
+            print(f"✅ SUCCESS! Google Earth flythrough created: {output_video}")
+            
+            # Get file size
+            file_size = os.path.getsize(output_video) / (1024 * 1024)  # MB
+            print(f"📹 Video size: {file_size:.1f} MB")
+            
+        else:
+            print("❌ Failed to create video")
+            
+    except Exception as e:
+        print(f"❌ Error during generation: {e}")
+        import traceback
+        traceback.print_exc()
+
+if __name__ == "__main__":
+    test_google_earth_animation()

py_scripts/advanced_3d_generator.py

@@ -34,44 +34,45 @@ except ImportError:
     print("Warning: pydeck not available. Install with: pip install pydeck")
 
 try:
-    from moviepy import VideoFileClip, ImageSequenceClip
-    MOVIEPY_AVAILABLE = True
+    import cv2
+    OPENCV_AVAILABLE = True
 except ImportError:
-    MOVIEPY_AVAILABLE = False
-    print("Warning: moviepy not available. Install with: pip install moviepy")
+    OPENCV_AVAILABLE = False
+    print("Warning: opencv-python not available. Install with: pip install opencv-python")
 
-class Advanced3DGenerator:
+class NavigationAnimationGenerator:
     """
-    Advanced 3D animation generator using Pydeck + Plotly + Blender pipeline
-    for high-quality GPS track visualizations
+    Professional navigation animation generator with satellite view and 3D camera following
+    Creates Google Earth-style entry scene and detailed terrain navigation
     """
     
     def __init__(self, output_folder):
         self.output_folder = output_folder
-        self.frames_folder = os.path.join(output_folder, "frames")
+        self.frames_folder = os.path.join(output_folder, "nav_frames")
         self.temp_folder = os.path.join(output_folder, "temp")
         
         # Create necessary folders
         os.makedirs(self.frames_folder, exist_ok=True)
         os.makedirs(self.temp_folder, exist_ok=True)
         
-        # Animation settings
+        # Navigation animation settings
         self.fps = 30
-        self.duration_per_point = 0.5  # seconds per GPS point
-        self.camera_height = 1000  # meters
-        self.trail_length = 50  # number of previous points to show
+        self.entry_duration = 4  # seconds for Google Earth entry
+        self.camera_height_min = 1000  # meters
+        self.camera_height_max = 2000  # meters
+        self.follow_distance = 500  # meters behind navigation point
         
     def check_dependencies(self):
         """Check if all required dependencies are available"""
         missing = []
         if not PANDAS_AVAILABLE:
-            missing.append("pandas, geopandas")
+            missing.append("pandas geopandas")
         if not PLOTLY_AVAILABLE:
             missing.append("plotly")
         if not PYDECK_AVAILABLE:
             missing.append("pydeck")
-        if not MOVIEPY_AVAILABLE:
-            missing.append("moviepy")
+        if not OPENCV_AVAILABLE:
+            missing.append("opencv-python")
             
         if missing:
             raise ImportError(f"Missing required dependencies: {', '.join(missing)}. Please install them with: pip install {' '.join(missing)}")
@@ -79,7 +80,7 @@ class Advanced3DGenerator:
         return True
         
     def load_gps_data(self, positions_file):
-        """Load and preprocess GPS data"""
+        """Load and preprocess GPS data for navigation"""
         with open(positions_file, 'r') as f:
             positions = json.load(f)
         
@@ -92,11 +93,360 @@ class Advanced3DGenerator:
         
         # Calculate speed and bearing
         df['speed_kmh'] = df['speed'] * 1.852  # Convert knots to km/h
-        df['elevation'] = df.get('altitude', 0)
+        df['elevation'] = df.get('altitude', 100)
         
-        # Calculate distance between points
-        distances = []
+        # Calculate bearings and distances
         bearings = []
+        distances = []
+        
+        for i in range(len(df)):
+            if i == 0:
+                bearings.append(0)
+                distances.append(0)
+            else:
+                # Calculate bearing to next point
+                lat1, lon1 = df.iloc[i-1]['latitude'], df.iloc[i-1]['longitude']
+                lat2, lon2 = df.iloc[i]['latitude'], df.iloc[i]['longitude']
+                
+                bearing = self.calculate_bearing(lat1, lon1, lat2, lon2)
+                distance = geodesic((lat1, lon1), (lat2, lon2)).meters
+                
+                bearings.append(bearing)
+                distances.append(distance)
+        
+        df['bearing'] = bearings
+        df['distance'] = distances
+        
+        return df
+    
+    def calculate_bearing(self, lat1, lon1, lat2, lon2):
+        """Calculate bearing between two GPS points"""
+        lat1, lon1, lat2, lon2 = map(math.radians, [lat1, lon1, lat2, lon2])
+        dlon = lon2 - lon1
+        
+        y = math.sin(dlon) * math.cos(lat2)
+        x = math.cos(lat1) * math.sin(lat2) - math.sin(lat1) * math.cos(lat2) * math.cos(dlon)
+        
+        bearing = math.atan2(y, x)
+        bearing = math.degrees(bearing)
+        bearing = (bearing + 360) % 360
+        
+        return bearing
+    
+    def create_google_earth_entry_scene(self, df, frame_num):
+        """Create Google Earth-style entry scene (zooming in from space)"""
+        if not PLOTLY_AVAILABLE:
+            raise ImportError("Plotly is required for entry scene")
+        
+        # Get route bounds
+        center_lat = df['latitude'].mean()
+        center_lon = df['longitude'].mean()
+        
+        # Entry animation: start from very high altitude and zoom in
+        total_entry_frames = self.entry_duration * self.fps
+        zoom_progress = frame_num / total_entry_frames
+        
+        # Camera altitude decreases exponentially
+        start_altitude = 50000  # Start from 50km
+        end_altitude = 3000     # End at 3km
+        current_altitude = start_altitude * (1 - zoom_progress) + end_altitude * zoom_progress
+        
+        # Create figure
+        fig = go.Figure()
+        
+        # Add Earth-like surface with satellite imagery simulation
+        terrain_size = 0.5 - (0.4 * zoom_progress)  # Zoom in effect
+        resolution = int(30 + (50 * zoom_progress))  # More detail as we zoom
+        
+        lat_range = np.linspace(center_lat - terrain_size, center_lat + terrain_size, resolution)
+        lon_range = np.linspace(center_lon - terrain_size, center_lon + terrain_size, resolution)
+        lat_mesh, lon_mesh = np.meshgrid(lat_range, lon_range)
+        
+        # Generate satellite-like terrain
+        terrain_heights = self.generate_satellite_terrain(lat_mesh, lon_mesh, center_lat, center_lon)
+        
+        # Add terrain surface
+        fig.add_trace(
+            go.Surface(
+                x=lon_mesh,
+                y=lat_mesh,
+                z=terrain_heights,
+                colorscale=[
+                    [0.0, 'rgb(0,100,0)'],      # Deep green (forests)
+                    [0.2, 'rgb(34,139,34)'],    # Forest green
+                    [0.4, 'rgb(255,215,0)'],    # Gold (fields)
+                    [0.6, 'rgb(139,69,19)'],    # Brown (earth)
+                    [0.8, 'rgb(105,105,105)'],  # Gray (rock)
+                    [1.0, 'rgb(255,255,255)']   # White (snow)
+                ],
+                opacity=0.95,
+                showscale=False,
+                lighting=dict(
+                    ambient=0.4,
+                    diffuse=0.8,
+                    specular=0.2
+                )
+            )
+        )
+        
+        # Show partial route (fading in)
+        route_alpha = min(1.0, zoom_progress * 2)
+        if route_alpha > 0:
+            fig.add_trace(
+                go.Scatter3d(
+                    x=df['longitude'],
+                    y=df['latitude'],
+                    z=df['elevation'] + 100,
+                    mode='lines',
+                    line=dict(
+                        color='red',
+                        width=8,
+                    ),
+                    opacity=route_alpha,
+                    name='Route'
+                )
+            )
+        
+        # Camera position for entry effect
+        camera_distance = current_altitude / 10000
+        
+        fig.update_layout(
+            title=dict(
+                text=f'Navigation Overview - Approaching Destination',
+                x=0.5,
+                font=dict(size=28, color='white', family="Arial Black")
+            ),
+            scene=dict(
+                camera=dict(
+                    eye=dict(x=0, y=-camera_distance, z=camera_distance),
+                    center=dict(x=0, y=0, z=0),
+                    up=dict(x=0, y=0, z=1)
+                ),
+                xaxis=dict(visible=False),
+                yaxis=dict(visible=False),
+                zaxis=dict(visible=False),
+                aspectmode='cube',
+                bgcolor='rgb(0,0,50)',  # Space-like background
+            ),
+            paper_bgcolor='black',
+            showlegend=False,
+            width=1920,
+            height=1080,
+            margin=dict(l=0, r=0, t=60, b=0)
+        )
+        
+        # Save frame
+        frame_path = os.path.join(self.frames_folder, f"NavEntry_{frame_num:04d}.png")
+        fig.write_image(frame_path, engine="kaleido")
+        return frame_path
+    
+    def create_navigation_frame(self, df, current_index, frame_num):
+        """Create detailed navigation frame with 3D following camera"""
+        if not PLOTLY_AVAILABLE:
+            raise ImportError("Plotly is required for navigation frames")
+        
+        current_row = df.iloc[current_index]
+        current_lat = current_row['latitude']
+        current_lon = current_row['longitude']
+        current_alt = current_row['elevation']
+        current_speed = current_row['speed_kmh']
+        current_bearing = current_row['bearing']
+        
+        # Get route progress
+        completed_route = df.iloc[:current_index + 1]
+        remaining_route = df.iloc[current_index:]
+        
+        # Create detailed terrain around current position
+        terrain_radius = 0.01  # degrees around current position
+        resolution = 60
+        
+        lat_range = np.linspace(current_lat - terrain_radius, current_lat + terrain_radius, resolution)
+        lon_range = np.linspace(current_lon - terrain_radius, current_lon + terrain_radius, resolution)
+        lat_mesh, lon_mesh = np.meshgrid(lat_range, lon_range)
+        
+        # Generate high-detail satellite terrain
+        terrain_heights = self.generate_detailed_terrain(lat_mesh, lon_mesh, current_lat, current_lon)
+        
+        # Create navigation display figure
+        fig = go.Figure()
+        
+        # Add detailed terrain
+        fig.add_trace(
+            go.Surface(
+                x=lon_mesh,
+                y=lat_mesh,
+                z=terrain_heights,
+                colorscale=[
+                    [0.0, 'rgb(34,139,34)'],     # Forest green
+                    [0.2, 'rgb(107,142,35)'],    # Olive drab
+                    [0.4, 'rgb(255,215,0)'],     # Gold (fields)
+                    [0.5, 'rgb(210,180,140)'],   # Tan (roads/clearings)
+                    [0.7, 'rgb(139,69,19)'],     # Brown (earth)
+                    [0.9, 'rgb(105,105,105)'],   # Gray (rock)
+                    [1.0, 'rgb(255,255,255)']    # White (peaks)
+                ],
+                opacity=0.9,
+                showscale=False,
+                lighting=dict(
+                    ambient=0.3,
+                    diffuse=0.9,
+                    specular=0.1
+                )
+            )
+        )
+        
+        # Add completed route (green)
+        if len(completed_route) > 1:
+            fig.add_trace(
+                go.Scatter3d(
+                    x=completed_route['longitude'],
+                    y=completed_route['latitude'],
+                    z=completed_route['elevation'] + 50,
+                    mode='lines',
+                    line=dict(color='lime', width=12),
+                    name='Completed'
+                )
+            )
+        
+        # Add remaining route (blue, semi-transparent)
+        if len(remaining_route) > 1:
+            fig.add_trace(
+                go.Scatter3d(
+                    x=remaining_route['longitude'],
+                    y=remaining_route['latitude'],
+                    z=remaining_route['elevation'] + 50,
+                    mode='lines',
+                    line=dict(color='cyan', width=8),
+                    opacity=0.6,
+                    name='Remaining'
+                )
+            )
+        
+        # Add navigation point (current vehicle position)
+        fig.add_trace(
+            go.Scatter3d(
+                x=[current_lon],
+                y=[current_lat],
+                z=[current_alt + 100],
+                mode='markers',
+                marker=dict(
+                    color='red',
+                    size=25,
+                    symbol='diamond',
+                    line=dict(color='white', width=4)
+                ),
+                name='Vehicle'
+            )
+        )
+        
+        # Add direction indicator
+        bearing_rad = math.radians(current_bearing)
+        arrow_length = 0.002
+        arrow_end_lat = current_lat + arrow_length * math.cos(bearing_rad)
+        arrow_end_lon = current_lon + arrow_length * math.sin(bearing_rad)
+        
+        fig.add_trace(
+            go.Scatter3d(
+                x=[current_lon, arrow_end_lon],
+                y=[current_lat, arrow_end_lat],
+                z=[current_alt + 120, current_alt + 120],
+                mode='lines',
+                line=dict(color='yellow', width=15),
+                name='Direction'
+            )
+        )
+        
+        # Calculate dynamic camera position for 3D following
+        # Camera follows behind and above at specified height
+        camera_height = self.camera_height_min + (self.camera_height_max - self.camera_height_min) * (current_speed / 100)
+        follow_distance_deg = 0.005  # degrees behind vehicle
+        
+        # Position camera behind vehicle based on bearing
+        camera_bearing = (current_bearing + 180) % 360  # Opposite direction
+        camera_bearing_rad = math.radians(camera_bearing)
+        
+        camera_lat = current_lat + follow_distance_deg * math.cos(camera_bearing_rad)
+        camera_lon = current_lon + follow_distance_deg * math.sin(camera_bearing_rad)
+        
+        # Calculate relative camera position
+        camera_eye_x = (camera_lon - current_lon) * 100
+        camera_eye_y = (camera_lat - current_lat) * 100
+        camera_eye_z = camera_height / 1000
+        
+        # Navigation info overlay
+        total_distance = sum(df['distance'])
+        completed_distance = sum(completed_route['distance'])
+        progress_percent = (completed_distance / total_distance) * 100 if total_distance > 0 else 0
+        
+        fig.update_layout(
+            title=dict(
+                text=f'Navigation • Speed: {current_speed:.1f} km/h • Progress: {progress_percent:.1f}% • {current_row["timestamp"].strftime("%H:%M:%S")}',
+                x=0.5,
+                font=dict(size=20, color='white', family="Arial Black")
+            ),
+            scene=dict(
+                camera=dict(
+                    eye=dict(x=camera_eye_x, y=camera_eye_y, z=camera_eye_z),
+                    center=dict(x=0, y=0, z=0),
+                    up=dict(x=0, y=0, z=1)
+                ),
+                xaxis=dict(visible=False),
+                yaxis=dict(visible=False),
+                zaxis=dict(visible=False),
+                aspectmode='manual',
+                aspectratio=dict(x=1, y=1, z=0.3),
+                bgcolor='rgb(135,206,235)'  # Sky blue
+            ),
+            paper_bgcolor='black',
+            showlegend=False,
+            width=1920,
+            height=1080,
+            margin=dict(l=0, r=0, t=50, b=0)
+        )
+        
+        # Save frame
+        frame_path = os.path.join(self.frames_folder, f"Navigation_{frame_num:04d}.png")
+        fig.write_image(frame_path, engine="kaleido")
+        return frame_path
+    
+    def generate_satellite_terrain(self, lat_mesh, lon_mesh, center_lat, center_lon):
+        """Generate satellite-view realistic terrain for entry scene"""
+        # Convert to local coordinates
+        lat_m = (lat_mesh - center_lat) * 111000
+        lon_m = (lon_mesh - center_lon) * 111000 * np.cos(np.radians(center_lat))
+        
+        # Base elevation with realistic variation
+        base_height = 200 + 50 * np.sin(lat_m / 5000) * np.cos(lon_m / 3000)
+        
+        # Mountain ranges
+        mountains = 800 * np.exp(-((lat_m - 2000)**2 + (lon_m - 1000)**2) / (3000**2))
+        mountains += 600 * np.exp(-((lat_m + 1500)**2 + (lon_m + 2000)**2) / (2500**2))
+        
+        # Hills and valleys
+        hills = 200 * np.sin(lat_m / 1000) * np.cos(lon_m / 1200)
+        valleys = -100 * np.exp(-((lat_m)**2 + (lon_m)**2) / (2000**2))
+        
+        terrain = base_height + mountains + hills + valleys
+        return np.maximum(terrain, 50)
+    
+    def generate_detailed_terrain(self, lat_mesh, lon_mesh, center_lat, center_lon):
+        """Generate high-detail terrain for navigation view"""
+        # Convert to local coordinates
+        lat_m = (lat_mesh - center_lat) * 111000
+        lon_m = (lon_mesh - center_lon) * 111000 * np.cos(np.radians(center_lat))
+        
+        # Base terrain
+        base = 150 + 30 * np.sin(lat_m / 500) * np.cos(lon_m / 400)
+        
+        # Local features
+        hills = 100 * np.exp(-((lat_m - 300)**2 + (lon_m - 200)**2) / (200**2))
+        ridges = 80 * np.exp(-((lat_m + 200)**2 + (lon_m - 400)**2) / (300**2))
+        
+        # Fine detail
+        detail = 20 * np.sin(lat_m / 50) * np.cos(lon_m / 60)
+        
+        terrain = base + hills + ridges + detail
+        return np.maximum(terrain, 30)
         
         for i in range(len(df)):
             if i == 0:
@@ -557,14 +907,16 @@ class Advanced3DGenerator:
         return frame_paths
     
     def create_video(self, frame_paths, output_video_path, progress_callback=None):
-        """Create video from frames using MoviePy with optimized settings"""
-        print("Creating Relive-style animation video...")
+        """Create video from frames using OpenCV for better compatibility"""
+        print("Creating navigation animation video...")
         
         if not frame_paths:
             print("No frames to create video from")
             return False
         
         try:
+            import cv2
+            
             # Filter out None paths
             valid_frames = [f for f in frame_paths if f and os.path.exists(f)]
             
@@ -574,46 +926,67 @@ class Advanced3DGenerator:
             
             print(f"Creating video from {len(valid_frames)} frames at {self.fps} FPS...")
             
-            # Create video clip from images with optimal settings
-            clip = ImageSequenceClip(valid_frames, fps=self.fps)
+            # Update progress
+            if progress_callback:
+                progress_callback(30, "Reading frame dimensions...")
             
-            # Add smooth fade effects for professional look
-            clip = clip.fadein(0.5).fadeout(0.5)
+            # Read first frame to get dimensions
+            first_frame = cv2.imread(valid_frames[0])
+            if first_frame is None:
+                print("Error reading first frame")
+                return False
+                
+            height, width, layers = first_frame.shape
             
             # Update progress
             if progress_callback:
-                progress_callback(50, "Encoding video with optimized settings...")
+                progress_callback(40, "Setting up video encoder...")
             
-            # Write video file with high quality settings
-            clip.write_videofile(
-                output_video_path,
-                codec='libx264',
-                audio=False,
-                temp_audiofile=None,
-                remove_temp=True,
-                verbose=False,
-                logger=None,
-                bitrate="8000k",  # High quality bitrate
-                ffmpeg_params=[
-                    "-preset", "medium",  # Balance between speed and compression
-                    "-crf", "18",  # High quality (lower = better quality)
-                    "-pix_fmt", "yuv420p"  # Better compatibility
-                ]
-            )
+            # Create video writer with OpenCV
+            fourcc = cv2.VideoWriter_fourcc(*'mp4v')  # You can also try 'XVID'
+            video_writer = cv2.VideoWriter(output_video_path, fourcc, self.fps, (width, height))
+            
+            if not video_writer.isOpened():
+                print("Error: Could not open video writer")
+                return False
+            
+            # Update progress
+            if progress_callback:
+                progress_callback(50, "Writing frames to video...")
+            
+            # Write frames to video
+            total_frames = len(valid_frames)
+            for i, frame_path in enumerate(valid_frames):
+                frame = cv2.imread(frame_path)
+                if frame is not None:
+                    video_writer.write(frame)
+                    
+                    # Update progress periodically
+                    if progress_callback and i % 10 == 0:
+                        progress_percent = 50 + (i / total_frames) * 40  # 50-90%
+                        progress_callback(progress_percent, f"Writing frame {i+1}/{total_frames}...")
+            
+            # Clean up
+            video_writer.release()
+            cv2.destroyAllWindows()
             
             if progress_callback:
                 progress_callback(100, f"Video successfully created: {os.path.basename(output_video_path)}")
             
-            print(f"✅ Relive-style animation video saved to: {output_video_path}")
-            print(f"📊 Video info: {len(valid_frames)} frames, {self.fps} FPS, {clip.duration:.1f}s duration")
-            
-            # Clean up clip
-            clip.close()
-            
-            return True
+            # Verify the video was created
+            if os.path.exists(output_video_path) and os.path.getsize(output_video_path) > 0:
+                print(f"✅ Navigation animation video saved to: {output_video_path}")
+                file_size = os.path.getsize(output_video_path) / (1024 * 1024)  # MB
+                print(f"📊 Video info: {len(valid_frames)} frames, {self.fps} FPS, {file_size:.1f} MB")
+                return True
+            else:
+                print("Error: Video file was not created properly")
+                return False
             
         except Exception as e:
             print(f"Error creating video: {e}")
+            if progress_callback:
+                progress_callback(-1, f"Error: {e}")
             return False
     
     def cleanup_frames(self):
@@ -623,38 +996,7 @@ class Advanced3DGenerator:
             shutil.rmtree(self.frames_folder)
         os.makedirs(self.frames_folder, exist_ok=True)
     
-    def generate_3d_animation(self, positions_file, output_video_path, 
-                            style='advanced', cleanup=True, progress_callback=None):
-        """
-        Main method to generate 3D animation
-        
-        Args:
-            positions_file: Path to JSON file with GPS positions
-            output_video_path: Path for output video
-            style: 'pydeck', 'plotly', or 'advanced'
-            cleanup: Whether to clean up temporary files
-            progress_callback: Callback function for progress updates
-        """
-        try:
-            # Generate frames
-            frame_paths = self.generate_frames(positions_file, style, progress_callback)
-            
-            if not frame_paths:
-                raise Exception("No frames generated")
-            
-            # Create video
-            success = self.create_video(frame_paths, output_video_path, progress_callback)
-            
-            if cleanup:
-                self.cleanup_frames()
-            
-            return success
-            
-        except Exception as e:
-            print(f"Error generating 3D animation: {e}")
-            if progress_callback:
-                progress_callback(-1, f"Error: {e}")
-            return False
+
 
     def create_google_earth_frame(self, df, current_index, frame_num):
         """
@@ -887,42 +1229,4 @@ class Advanced3DGenerator:
         
         return terrain
 
-def generate_advanced_3d_video(positions_file, output_folder, filename_prefix="advanced_3d", 
-                             style='advanced', progress_callback=None):
-    """
-    Convenience function to generate advanced 3D video
-    """
-    generator = Advanced3DGenerator(output_folder)
-    
-    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    output_video_path = os.path.join(output_folder, f"{filename_prefix}_{timestamp}.mp4")
-    
-    success = generator.generate_3d_animation(
-        positions_file, 
-        output_video_path, 
-        style=style,
-        progress_callback=progress_callback
-    )
-    
-    return output_video_path if success else None
 
-# Test function
-if __name__ == "__main__":
-    # Test the advanced 3D generator
-    test_positions = "test_positions.json"
-    output_dir = "test_output"
-    
-    def test_progress(progress, message):
-        print(f"Progress: {progress:.1f}% - {message}")
-    
-    video_path = generate_advanced_3d_video(
-        test_positions, 
-        output_dir, 
-        style='advanced',
-        progress_callback=test_progress
-    )
-    
-    if video_path:
-        print(f"Test video created: {video_path}")
-    else:
-        print("Test failed")

requirements.txt

@@ -6,7 +6,6 @@ selenium
 pillow
 geopy
 opencv-python
-moviepy
 requests
 numpy
 matplotlib

resources/credentials.enc

@@ -1 +1 @@
-gAAAAABobmx0PnGbcR3Hxn93Z2r3z0dqZpHYGfWhJC7ko6QSMHLY_qoGsEZLrlLjjGrdjVOqSNVfwCP6_pAQ5QWbDRs6RoyZFPIA-vLFYpU9tUVC6pHCSSxvQimS_Thdj5WMIBlpTOWa
+gAAAAABob4-usKjps0vEVupB8FIJ3tKqoOeedzOUpt16NICbpi1ejKoSwqDvH7eIAPaZCOkfbPC6gjJGTo2yxt4BOPg1yzg_-Xanpl5iL1Y2mIRxWag-5cWhDNiqZo3bEZMqZ3M875O-

resources/projects/save1/pauses.json

@@ -1,20 +0,0 @@
-[
-  {
-    "start_time": "2025-07-08T04:51:13.000+00:00",
-    "end_time": "2025-07-08T13:20:50.000+00:00",
-    "duration_seconds": 30578,
-    "location": {
-      "latitude": 45.79908722222223,
-      "longitude": 24.085938333333335
-    }
-  },
-  {
-    "start_time": "2025-07-08T13:33:15.000+00:00",
-    "end_time": "2025-07-08T13:35:59.000+00:00",
-    "duration_seconds": 164,
-    "location": {
-      "latitude": 45.794045000000004,
-      "longitude": 24.13890055555556
-    }
-  }
-]