Update app.py

app.py

@@ -1,56 +1,169 @@
-import pandas as pd
 import streamlit as st
+import pandas as pd
 import folium
 from streamlit_folium import folium_static
+import base64
+from folium.plugins import MarkerCluster
 
-# خواندن داده‌ها
-df_representative = pd.read_csv('مزارع نماینده راتون.csv')
-df_coordinates = pd.read_csv('مختصات و مشخصات کامل مزارع (4).csv')
+# Set page title and layout
+st.set_page_config(page_title="Farm Monitoring Dashboard", layout="wide")
 
-# استخراج لیست مزارع نماینده
-representatives = df_representative['مزرعه نماینده'].unique().tolist()
+# Add custom CSS for blinking effect
+st.markdown("""
+<style>
+@keyframes blink {
+    0% { opacity: 1; }
+    50% { opacity: 0.3; }
+    100% { opacity: 1; }
+}
+.blinking {
+    animation: blink 1.5s infinite;
+}
+</style>
+""", unsafe_allow_html=True)
 
-# دیکشنری برای نگاشت مزرعه نماینده به زیرمجموعه‌ها
-sub_farms_dict = df_representative.groupby('مزرعه نماینده')['زیر مجموعه'].apply(list).to_dict()
+# Function to load data
+@st.cache_data
+def load_data():
+     In a real app, you would load from actual CSV files
+     representative_farms = pd.read_csv("مزارع نماینده راتون.csv")
+     farm_coordinates = pd.read_csv("مختصات و مشخصات کامل مزارع (4).csv")
+    
+    # For this example, we'll create sample dataframes
+    representative_farms = pd.DataFrame({
+        "مزرعه نماینده": ["Farm A", "Farm A", "Farm B", "Farm B", "Farm C"],
+        "زیر مجموعه": ["Subset A1", "Subset A2", "Subset B1", "Subset B2", "Subset C1"],
+        "کانال": ["Channel 1", "Channel 1", "Channel 2", "Channel 2", "Channel 3"],
+        "اداره": ["Dept 1", "Dept 1", "Dept 2", "Dept 2", "Dept 3"],
+        "سن": [3, 3, 5, 5, 2],
+        "واریته": ["Variety X", "Variety X", "Variety Y", "Variety Y", "Variety Z"],
+        "تهیه قلمه": ["Method 1", "Method 1", "Method 2", "Method 2", "Method 3"],
+        "مساحت کلی": [150, 120, 200, 180, 250]
+    })
+    
+    farm_coordinates = pd.DataFrame({
+        "مزرعه": ["Farm A", "Subset A1", "Subset A2", "Farm B", "Subset B1", 
+                 "Subset B2", "Farm C", "Subset C1"],
+        "طول جغرافیایی": [51.4, 51.41, 51.39, 51.5, 51.51, 51.49, 51.3, 51.31],
+        "عرض جغرافیایی": [35.7, 35.71, 35.69, 35.8, 35.81, 35.79, 35.6, 35.61]
+    })
+    
+    return representative_farms, farm_coordinates
 
-# رابط کاربری
-st.title('داشبورد پایش هفتگی مزارع نماینده')
-selected_representative = st.selectbox('انتخاب مزرعه نماینده', representatives)
+# Load data
+representative_farms, farm_coordinates = load_data()
 
-if selected_representative:
-    # نمایش زیرمجموعه‌ها
-    sub_farms = sub_farms_dict[selected_representative]
-    st.write('**زیرمجموعه‌های مزرعه انتخاب شده:**', sub_farms)
-
-    # استخراج مختصات مزرعه نماینده
-    rep_coords = df_coordinates[df_coordinates['مزرعه'] == selected_representative][['عرض جغرافیایی', 'طول جغرافیایی']].values
-    if len(rep_coords) > 0:
-        rep_lat, rep_lon = rep_coords[0]
-    else:
-        st.error('مختصات مزرعه نماینده یافت نشد!')
-        st.stop()
+# Title
+st.title("Farm Monitoring Dashboard")
+st.markdown("---")
 
-    # استخراج مختصات زیرمجموعه‌ها
-    sub_coords = df_coordinates[df_coordinates['مزرعه'].isin(sub_farms)][['عرض جغرافیایی', 'طول جغرافیایی', 'مزرعه']]
+# Sidebar for farm selection
+with st.sidebar:
+    st.header("Farm Selection")
+    
+    # Get unique representative farms
+    unique_farms = representative_farms["مزرعه نماینده"].unique()
+    
+    # Create dropdown for farm selection
+    selected_farm = st.selectbox(
+        "Select a representative farm:",
+        options=unique_farms
+    )
+    
+    # Get subsets for the selected farm
+    if selected_farm:
+        subsets = representative_farms[representative_farms["مزرعه نماینده"] == selected_farm]["زیر مجموعه"].tolist()
+        
+        st.subheader("Subsets:")
+        for subset in subsets:
+            st.markdown(f"- {subset}")
+        
+        # Display farm details
+        st.subheader("Farm Details:")
+        farm_details = representative_farms[representative_farms["مزرعه نماینده"] == selected_farm].iloc[0]
+        
+        st.markdown(f"**Age:** {farm_details['سن']} years")
+        st.markdown(f"**Variety:** {farm_details['واریته']}")
+        st.markdown(f"**Channel:** {farm_details['کانال']}")
+        st.markdown(f"**Department:** {farm_details['اداره']}")
+        st.markdown(f"**Cutting Method:** {farm_details['تهیه قلمه']}")
+        st.markdown(f"**Total Area:** {farm_details['مساحت کلی']} hectares")
 
-    # ایجاد نقشه
-    m = folium.Map(location=[rep_lat, rep_lon], zoom_start=10, tiles='Satellite')
-
-    # مارکر مزرعه نماینده
-    folium.Marker(
-        [rep_lat, rep_lon],
-        popup=selected_representative,
-        icon=folium.Icon(color='blue', icon='info-sign')
-    ).add_to(m)
-
-    # مارکرهای زیرمجموعه‌ها
-    for idx, row in sub_coords.iterrows():
+# Main content - Map
+if selected_farm:
+    # Get coordinates for the selected farm
+    main_farm_coords = farm_coordinates[farm_coordinates["مزرعه"] == selected_farm]
+    
+    if not main_farm_coords.empty:
+        main_lat = main_farm_coords.iloc[0]["عرض جغرافیایی"]
+        main_lon = main_farm_coords.iloc[0]["طول جغرافیایی"]
+        
+        # Get coordinates for subsets
+        subset_coords = farm_coordinates[farm_coordinates["مزرعه"].isin(subsets)]
+        
+        # Create map centered on the main farm
+        m = folium.Map(location=[main_lat, main_lon], zoom_start=12, 
+                      tiles="https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}", 
+                      attr="Esri World Imagery")
+        
+        # Add layer control
+        folium.TileLayer('OpenStreetMap').add_to(m)
+        folium.TileLayer('Stamen Terrain').add_to(m)
+        folium.LayerControl().add_to(m)
+        
+        # Add marker for the main farm
         folium.Marker(
-            [row['عرض جغرافیایی'], row['طول جغرافیایی']],
-            popup=row['مزرعه'],
-            icon=folium.Icon(color='red', icon='info-sign')
+            location=[main_lat, main_lon],
+            popup=f"<b>{selected_farm}</b><br>Representative Farm",
+            icon=folium.Icon(color="red", icon="star")
         ).add_to(m)
+        
+        # Add markers for subsets with blinking effect
+        for _, row in subset_coords.iterrows():
+            iframe = folium.IFrame(f"""
+            <div>
+                <h4>{row['مزرعه']}</h4>
+                <p>Subset Farm</p>
+                <p>Coordinates: {row['عرض جغرافیایی']:.6f}, {row['طول جغرافیایی']:.6f}</p>
+            </div>
+            """)
+            
+            popup = folium.Popup(iframe, min_width=200, max_width=300)
+            
+            # Create a custom icon with blinking class
+            icon_html = """
+            <div class="blinking">
+                <i class="fa fa-map-marker fa-3x" style="color:green"></i>
+            </div>
+            """
+            
+            icon = folium.DivIcon(
+                icon_size=(30, 30),
+                icon_anchor=(15, 30),
+                html=icon_html
+            )
+            
+            folium.Marker(
+                location=[row["عرض جغرافیایی"], row["طول جغرافیایی"]],
+                popup=popup,
+                icon=icon
+            ).add_to(m)
+        
+        # Display the map
+        st.subheader(f"Map for {selected_farm} and its Subsets")
+        folium_static(m, width=1000, height=600)
+        
+    else:
+        st.error("No coordinates found for the selected farm.")
+else:
+    st.info("Please select a farm from the sidebar to view on the map.")
 
-    # نمایش نقشه
-    st.write('**نقشه مزرعه و زیرمجموعه‌ها:**')
-    folium_static(m)
+# Add some information at the bottom
+st.markdown("---")
+st.markdown("### How to use this dashboard:")
+st.markdown("""
+1. Select a representative farm from the dropdown in the sidebar
+2. View the farm's subsets and details in the sidebar
+3. Explore the farm and its subsets on the satellite map
+4. The main farm is marked with a red star
+5. Subset farms are marked with blinking green markers