app.py

import os
import gradio as gr
import folium
from folium import plugins
import geopandas as gpd
import rasterio
from rasterio.warp import transform_bounds
import json
import tempfile
import shutil
import uuid
import logging
import traceback
import numpy as np
from PIL import Image

# Configure logging for HF Spaces
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
    handlers=[logging.StreamHandler()]
)
logger = logging.getLogger('forestai')

# ================================
# CONFIGURATIONS
# ================================

# Feature styles for trees only
FEATURE_STYLES = {
    'trees': {"color": "green", "fillColor": "yellow", "fillOpacity": 0.3, "weight": 2}
}

# Example file path
EXAMPLE_FILE_PATH = "example.tif"

# ================================
# TEMP DIRECTORY SETUP
# ================================

def setup_temp_dirs():
    """Create temporary directories."""
    temp_base = tempfile.mkdtemp(prefix="forestai_")
    dirs = {
        'uploads': os.path.join(temp_base, 'uploads'),
        'processed': os.path.join(temp_base, 'processed'),
        'static': os.path.join(temp_base, 'static')
    }
    
    for dir_path in dirs.values():
        os.makedirs(dir_path, exist_ok=True)
    
    return dirs

# Global temp directories
TEMP_DIRS = setup_temp_dirs()

# ================================
# CORE FUNCTIONS
# ================================

def get_bounds_from_geotiff(geotiff_path):
    """Extract bounds from GeoTIFF and convert to WGS84."""
    try:
        with rasterio.open(geotiff_path) as src:
            bounds = src.bounds
            if src.crs:
                west, south, east, north = transform_bounds(
                    src.crs, 'EPSG:4326',
                    bounds.left, bounds.bottom, bounds.right, bounds.top
                )
                return west, south, east, north
            else:
                return -74.1, 40.6, -73.9, 40.8
    except Exception as e:
        logger.error(f"Error extracting bounds: {str(e)}")
        return -74.1, 40.6, -73.9, 40.8

def create_split_view_map(geojson_data, bounds):
    """Create split-view map with detected trees."""
    try:
        west, south, east, north = bounds
        center = [(south + north) / 2, (west + east) / 2]
        
        # Calculate zoom level
        lat_diff = north - south
        lon_diff = east - west
        max_diff = max(lat_diff, lon_diff)
        
        if max_diff < 0.01:
            zoom = 16
        elif max_diff < 0.05:
            zoom = 14
        elif max_diff < 0.1:
            zoom = 12
        else:
            zoom = 10

        # Create base map
        m = folium.Map(location=center, zoom_start=zoom)

        # Create tile layers
        left_layer = folium.TileLayer(
            tiles='OpenStreetMap',
            name='OpenStreetMap',
            overlay=False,
            control=False
        )
        
        right_layer = folium.TileLayer(
            tiles='https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}',
            attr='Esri',
            name='Satellite',
            overlay=False,
            control=False
        )

        left_layer.add_to(m)
        right_layer.add_to(m)

        # Add detected trees
        if geojson_data and 'features' in geojson_data and geojson_data['features']:
            style = FEATURE_STYLES['trees']
            
            geojson_layer = folium.GeoJson(
                geojson_data,
                name='Detected Trees',
                style_function=lambda x: style,
                popup=folium.GeoJsonPopup(
                    fields=['confidence'] if 'confidence' in str(geojson_data) else [],
                    aliases=['Confidence:'] if 'confidence' in str(geojson_data) else [],
                    localize=True
                )
            )
            geojson_layer.add_to(m)

        # Add split view plugin
        plugins.SideBySideLayers(
            layer_left=left_layer,
            layer_right=right_layer
        ).add_to(m)

        # Add layer control
        folium.LayerControl().add_to(m)

        # Fit bounds
        m.fit_bounds([[south, west], [north, east]], padding=(20, 20))

        return m

    except Exception as e:
        logger.error(f"Error creating map: {str(e)}")
        # Return basic map on error
        m = folium.Map(location=[40.7, -74.0], zoom_start=10)
        return m

def process_image_file(image_file):
    """Process uploaded image file for tree detection."""
    if image_file is None:
        return None, "Please upload an image file or use the example file"

    try:
        # Create unique ID
        unique_id = str(uuid.uuid4().hex)[:8]
        
        # Handle file upload
        if hasattr(image_file, 'name'):
            filename = os.path.basename(image_file.name)
        else:
            filename = os.path.basename(image_file)

        # Save uploaded file
        image_path = os.path.join(TEMP_DIRS['uploads'], f"{unique_id}_{filename}")

        if hasattr(image_file, 'read'):
            file_content = image_file.read()
            with open(image_path, "wb") as f:
                f.write(file_content)
        else:
            shutil.copy(image_file, image_path)

        logger.info(f"File saved to {image_path}")

        # Check if it's a GeoTIFF file for advanced processing
        if filename.lower().endswith(('.tif', '.tiff')):
            # Use advanced extraction for GeoTIFF files
            from utils.advanced_extraction import extract_features_from_geotiff
            
            logger.info("Extracting tree features from GeoTIFF...")
            geojson_data = extract_features_from_geotiff(image_path, TEMP_DIRS['processed'], "trees")
        else:
            # Use general image processing for other formats
            from utils.geospatial import process_image_to_geojson
            from utils.image_processing import process_image
            
            logger.info("Processing regular image for tree detection...")
            processed_image_path = process_image(image_path, TEMP_DIRS['processed'])
            geojson_data = process_image_to_geojson(processed_image_path, feature_type="trees", original_file_path=image_path)

        if not geojson_data or not geojson_data.get('features'):
            return None, "No trees detected in the image"

        # Get bounds and create map
        if filename.lower().endswith(('.tif', '.tiff')):
            bounds = get_bounds_from_geotiff(image_path)
        else:
            # For regular images, use default bounds or extract from metadata
            bounds = get_bounds_from_geotiff(image_path)  # This will use defaults for non-GeoTIFF files
        
        map_obj = create_split_view_map(geojson_data, bounds)

        if map_obj:
            # Save map
            html_path = os.path.join(TEMP_DIRS['static'], f"map_{unique_id}.html")
            map_obj.save(html_path)

            # Read HTML content
            with open(html_path, 'r', encoding='utf-8') as f:
                html_content = f.read()

            # Create iframe
            iframe_html = f'''
            <div style="width:100%; height:600px; border:1px solid #ddd; border-radius:8px; overflow:hidden;">
                <iframe srcdoc="{html_content.replace('"', '&quot;')}"
                        width="100%" height="600px" style="border:none;"></iframe>
            </div>
            '''

            num_features = len(geojson_data['features'])
            return iframe_html, f"✅ Detected {num_features} tree areas in {filename}"
        else:
            return None, "Failed to create map"
            
    except Exception as e:
        logger.error(f"Error processing file: {str(e)}")
        return None, f"❌ Error: {str(e)}"

def load_example_file():
    """Load the example.tif file and return it for processing."""
    try:
        if os.path.exists(EXAMPLE_FILE_PATH):
            logger.info("Loading example file...")
            return EXAMPLE_FILE_PATH
        else:
            logger.warning("Example file not found")
            return None
    except Exception as e:
        logger.error(f"Error loading example file: {str(e)}")
        return None

def process_example_file():
    """Process the example file and return results."""
    example_file = load_example_file()
    if example_file:
        return process_geotiff_file(example_file)
    else:
        return None, "❌ Example file (example.tif) not found in the root directory"

def check_example_file_exists():
    """Check if example file exists and return appropriate message."""
    if os.path.exists(EXAMPLE_FILE_PATH):
        return f"✅ Example file found: {EXAMPLE_FILE_PATH}"
    else:
        return f"⚠️ Example file not found: {EXAMPLE_FILE_PATH}"

# ================================
# GRADIO INTERFACE
# ================================

def create_gradio_interface():
    """Create the Gradio interface for tree detection."""
    
    css = """
    .gradio-container {
        max-width: 100% !important;
        width: 100% !important;
        margin: 0 !important;
        padding: 10px !important;
    }
    .map-container {
        border-radius: 8px;
        overflow: hidden;
        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
        width: 100% !important;
    }
    body {
        margin: 0 !important;
        padding: 0 !important;
    }
    .contain {
        max-width: none !important;
        padding: 0 !important;
    }
    .example-button {
        background: linear-gradient(135deg, #28a745 0%, #20c997 100%) !important;
        border: none !important;
        color: white !important;
    }
    """
    
    with gr.Blocks(title="🌲 ForestAI - Tree Detection", css=css, theme=gr.themes.Soft()) as app:
        
        # Simple header
        gr.HTML("""
        <div style="text-align: center; padding: 20px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border-radius: 10px; margin-bottom: 20px;">
            <h1 style="color: white; margin: 0; font-size: 2.5em;">🌲 ForestAI</h1>
            <p style="color: white; margin: 10px 0 0 0; font-size: 1.2em;">Tree Detection from Satellite & Aerial Imagery</p>
        </div>
        """)

        with gr.Row():
            with gr.Column(scale=1):
                gr.Markdown("### Upload GeoTIFF File")
                
                file_input = gr.File(
                    label="Select Image File",
                    file_types=[".tif", ".tiff", ".png", ".jpg", ".jpeg", ".bmp", ".gif"],
                    type="filepath"
                )
                
                with gr.Row():
                    analyze_btn = gr.Button(
                        "🔍 Detect Trees", 
                        variant="primary",
                        size="lg",
                        scale=2
                    )
                    
                    example_btn = gr.Button(
                        "📁 Use Example File",
                        variant="secondary",
                        size="lg",
                        scale=1,
                        elem_classes=["example-button"]
                    )
                
                # Example file status
                example_status = gr.Textbox(
                    label="Example File Status",
                    value=check_example_file_exists(),
                    interactive=False,
                    lines=1
                )
                
                gr.Markdown("### Status")
                status_output = gr.Textbox(
                    label="Processing Status",
                    interactive=False,
                    placeholder="Upload a file and click 'Detect Trees' or use the example file...",
                    lines=3
                )

            with gr.Column(scale=2):
                gr.Markdown("### Results Map")
                
                map_output = gr.HTML(
                    value='''
                    <div style="width:100%; height:600px; border:1px solid #ddd; border-radius:8px; 
                                display:flex; align-items:center; justify-content:center; 
                                background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);">
                        <div style="text-align:center; color:#666;">
                            <h3>🌲 Upload an image file or use example to see detected trees</h3>
                            <p>Interactive map will appear here</p>
                        </div>
                    </div>
                    ''',
                    elem_classes=["map-container"]
                )

        # Event handlers
        analyze_btn.click(
            fn=process_image_file,
            inputs=[file_input],
            outputs=[map_output, status_output],
            show_progress=True
        )
        
        example_btn.click(
            fn=process_example_file,
            inputs=[],
            outputs=[map_output, status_output],
            show_progress=True
        )

        # Simple instructions
        gr.Markdown("""
        ### How to Use:
        1. **Upload** an image file (GeoTIFF, PNG, JPG, etc.) OR click "Use Example File" to try with the included sample
        2. **Click** "Detect Trees" to analyze your uploaded image
        3. **Explore** the interactive map with detected tree areas
        4. **Use** the split-view slider to compare base map and satellite imagery

        ### Supported Formats:
        - **GeoTIFF (.tif, .tiff)**: Best for satellite imagery with geographic data
        - **Regular Images (.png, .jpg, .jpeg, .bmp, .gif)**: For general image analysis
        - **Processing**: GeoTIFF files use advanced NDVI analysis, other formats use general image processing

        ### Map Controls:
        - **Split View**: Drag the vertical slider to compare layers
        - **Zoom**: Scroll to zoom in/out, drag to pan
        - **Layers**: Use layer control to toggle trees on/off
        
        ### Example File:
        - The example file should be named `example.tif` and placed in the same directory as this application
        - Click "Use Example File" to quickly test the tree detection without uploading your own file
        """)

    return app

if __name__ == "__main__":
    logger.info("🌲 Starting ForestAI Tree Detection")
    app = create_gradio_interface()
    app.launch()