Update app.py

app.py

@@ -1,169 +1,100 @@
 import streamlit as st
 import pandas as pd
 import folium
-from streamlit_folium import folium_static
-import base64
-from folium.plugins import MarkerCluster
-
-# Set page title and layout
-st.set_page_config(page_title="Farm Monitoring Dashboard", layout="wide")
-
-# 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)
-
-# 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
-
-# Load data
-representative_farms, farm_coordinates = load_data()
-
-# Title
-st.title("Farm Monitoring Dashboard")
-st.markdown("---")
-
-# 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")
-
-# 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
+from streamlit_folium import st_folium
+import ee
+import geemap.foliumap as geemap
+
+# احراز هویت GEE با فایل json
+SERVICE_ACCOUNT = 'dehkhodamap-e9f0da4ce9f6514021@ee-esmaeilkiani13877.iam.gserviceaccount.com'
+KEY_PATH = 'ee-esmaeilkiani13877-cfdea6eaf411.json'
+ee.Initialize(ee.ServiceAccountCredentials(SERVICE_ACCOUNT, KEY_PATH))
+
+st.set_page_config(page_title="داشبورد مزارع نماینده", layout="wide")
+st.title("📡 داشبورد پایش مزارع نماینده نیشکر دهخدا")
+
+# خواندن فایل‌��ا
+df_links = pd.read_csv("مزارع نماینده راتون.csv", encoding='utf-8-sig')
+df_coords = pd.read_csv("مختصات و مشخصات کامل مزارع (4).csv", encoding='utf-8-sig')
+
+df_links.columns = df_links.columns.str.strip()
+df_coords.columns = df_coords.columns.str.strip()
+df_coords = df_coords.dropna(subset=["طول جغرافیایی", "عرض جغرافیایی"])
+
+# انتخاب مزرعه نماینده
+representatives = df_links["مزرعه نماینده"].dropna().unique()
+selected_rep = st.selectbox("🔍 انتخاب مزرعه نماینده:", sorted(representatives), index=0)
+
+if selected_rep:
+    subset_df = df_links[df_links["مزرعه نماینده"] == selected_rep]
+    sub_farms = subset_df["زیر مجموعه"].dropna().tolist()
+
+    rep_coords = df_coords[df_coords["مزرعه"] == selected_rep]
+    if not rep_coords.empty:
+        rep_lat = rep_coords["عرض جغرافیایی"].values[0]
+        rep_lon = rep_coords["طول جغرافیایی"].values[0]
+
+        m = folium.Map(
+            location=[rep_lat, rep_lon],
+            zoom_start=14,
+            tiles="https://mt1.google.com/vt/lyrs=s&x={x}&y={y}&z={z}",
+            attr="Google Satellite"
+        )
+
         folium.Marker(
-            location=[main_lat, main_lon],
-            popup=f"<b>{selected_farm}</b><br>Representative Farm",
-            icon=folium.Icon(color="red", icon="star")
+            location=[rep_lat, rep_lon],
+            tooltip=f"🌟 مزرعه نماینده: {selected_rep}",
+            icon=folium.Icon(color='blue', 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)
-        
+
+        # نمایش زیرمزارعه‌ها روی نقشه
+        for i, row in subset_df.iterrows():
+            farm = row["زیر مجموعه"]
+            coords = df_coords[df_coords["مزرعه"] == farm]
+            if not coords.empty:
+                lat = coords["عرض جغرافیایی"].values[0]
+                lon = coords["طول جغرافیایی"].values[0]
+                folium.CircleMarker(
+                    location=[lat, lon],
+                    radius=8,
+                    color="red",
+                    fill=True,
+                    fill_color="yellow",
+                    fill_opacity=0.8,
+                    tooltip=f"{farm} - سن: {row['سن']}، واریته: {row['واریته']}"
+                ).add_to(m)
+
+        st_folium(m, width=1000, height=600)
+
+        # نمایش جدول اطلاعات زیرمزارعه‌ها
+        st.subheader("📋 اطلاعات زیرمزارعه‌ها")
+        st.dataframe(subset_df[["زیر مجموعه", "سن", "واریته", "تهیه قلمه", "مساحت کلی"]])
+
+        # نمودار NDVI برای هر زیرمزرعه
+        st.subheader("📈 نمودار سری زمانی NDVI (S2)")
+        for farm in sub_farms:
+            coords = df_coords[df_coords["مزرعه"] == farm]
+            if not coords.empty:
+                lat = coords["عرض جغرافیایی"].values[0]
+                lon = coords["طول جغرافیایی"].values[0]
+                point = ee.Geometry.Point(float(lon), float(lat))
+                collection = ee.ImageCollection('COPERNICUS/S2_SR') \
+                    .filterBounds(point) \
+                    .filterDate('2024-01-01', '2024-12-31') \
+                    .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20)) \
+                    .map(lambda img: img.addBands(img.normalizedDifference(['B8', 'B4']).rename('NDVI')))
+
+                ndvi_ts = collection.select('NDVI').getRegion(point, 30).getInfo()
+
+                if len(ndvi_ts) > 1:
+                    df_ndvi = pd.DataFrame(ndvi_ts[1:], columns=ndvi_ts[0])
+                    df_ndvi["datetime"] = pd.to_datetime(df_ndvi["time"], unit='ms')
+                    df_ndvi = df_ndvi[["datetime", "NDVI"]].dropna()
+
+                    st.line_chart(df_ndvi.set_index("datetime")["NDVI"], height=200, use_container_width=True)
+                    st.markdown(f"📍 **{farm}**")
+                else:
+                    st.warning(f"📍 داده‌ای برای NDVI مزرعه {farm} پیدا نشد.")
+
     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.")
-
-# 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
+        st.warning("مختصات مزرعه نماینده یافت نشد.")