Delete visualization.py

visualization.py

@@ -1,105 +0,0 @@
-import streamlit as st
-import folium
-from folium.plugins import Draw, Fullscreen, MeasureControl
-import plotly.express as px
-import plotly.graph_objects as go
-import base64
-import pandas as pd
-import geemap.foliumap as geemap
-
-def create_map(center_lat, center_lon, zoom=13):
-    """Create a folium map centered at the specified coordinates"""
-    m = geemap.Map()
-    m.set_center(center_lon, center_lat, zoom)
-    m.add_basemap('HYBRID')
-    return m
-
-def add_index_layer(m, image, index_name, vis_params, layer_name):
-    """Add an index layer to the map"""
-    if image is not None:
-        m.add_layer(image.select(index_name), vis_params, layer_name)
-    return m
-
-def get_map_download_link(m, filename="map.html"):
-    """Generate a download link for the map"""
-    m.to_html(filename)
-    with open(filename, 'rb') as f:
-        html_data = f.read()
-    
-    b64 = base64.b64encode(html_data).decode()
-    href = f'<a href="data:text/html;base64,{b64}" download="{filename}">Download Map</a>'
-    return href
-
-def create_comparison_chart(comparison_df, indices):
-    """Create a bar chart comparing indices across farms"""
-    if len(comparison_df) > 1:  # If more than one farm is selected
-        fig = go.Figure()
-        
-        for index_name in indices:
-            if index_name in comparison_df.columns:
-                fig.add_trace(go.Bar(
-                    x=comparison_df['مزرعه'],
-                    y=comparison_df[index_name],
-                    name=index_name
-                ))
-        
-        fig.update_layout(
-            title="Farm Index Comparison",
-            xaxis_title="Farm",
-            yaxis_title="Index Value",
-            barmode='group'
-        )
-        
-        return fig
-    return None
-
-def create_time_series_chart(time_series_df, index_name, farm_id):
-    """Create a line chart showing index values over time"""
-    if time_series_df is not None and not time_series_df.empty:
-        fig = px.line(time_series_df, x='Date', y=index_name, 
-                     title=f"{index_name} Time Series for Farm {farm_id}")
-        fig.update_layout(xaxis_title="Date", yaxis_title=index_name)
-        return fig
-    return None
-
-def display_color_legend(selected_index):
-    """Display a color legend for the selected index"""
-    st.subheader("Color Legend")
-    
-    if selected_index in ['NDVI', 'EVI']:
-        st.markdown("""
-        - <span style='color:red'>Red</span>: Poor condition (0.0-0.2)
-        - <span style='color:yellow'>Yellow</span>: Moderate condition (0.2-0.5)
-        - <span style='color:green'>Green</span>: Good condition (0.5-0.8)
-        """, unsafe_allow_html=True)
-    elif selected_index == 'NDMI':
-        st.markdown("""
-        - <span style='color:red'>Red</span>: Dry (0.0-0.2)
-        - <span style='color:yellow'>Yellow</span>: Moderate moisture (0.2-0.5)
-        - <span style='color:blue'>Blue</span>: High moisture (0.5-0.8)
-        """, unsafe_allow_html=True)
-    elif selected_index in ['LAI', 'Biomass']:
-        st.markdown("""
-        - <span style='color:white; background-color:black'>White</span>: Low value (0-1)
-        - <span style='color:lightgreen'>Light green</span>: Moderate value (1-3)
-        - <span style='color:darkgreen'>Dark green</span>: High value (3-5)
-        """, unsafe_allow_html=True)
-    elif selected_index == 'MSI':
-        st.markdown("""
-        - <span style='color:blue'>Blue</span>: Low stress (0-0.6)
-        - <span style='color:yellow'>Yellow</span>: Moderate stress (0.6-1.2)
-        - <span style='color:red'>Red</span>: High stress (1.2-2.0)
-        """, unsafe_allow_html=True)
-    elif selected_index == 'Chlorophyll':
-        st.markdown("""
-        - <span style='color:white; background-color:black'>White</span>: Low chlorophyll (0-1)
-        - <span style='color:yellow'>Yellow</span>: Moderate chlorophyll (1-3)
-        - <span style='color:green'>Green</span>: High chlorophyll (3-5)
-        """, unsafe_allow_html=True)
-
-def get_download_link(df, filename, link_text):
-    """Generate a download link for a dataframe"""
-    csv = df.to_csv(index=False)
-    b64 = base64.b64encode(csv.encode()).decode()
-    href = f'<a href="data:file/csv;base64,{b64}" download="{filename}">{link_text}</a>'
-    return href