Update app.py

app.py

@@ -50,6 +50,7 @@ key_json = {
   "universe_domain": "googleapis.com"
 }
 
+
 # تبدیل دیکشنری به رشته JSON
 key_json_str = json.dumps(key_json)
 
@@ -68,7 +69,7 @@ def load_farm_data():
         return None
 
 @st.cache_data
-def get_safe_index_value(_image, index_type, band_selection, farm_geometry, image_date):
+def get_safe_index_value(_image, index_type, band_selection, _farm_geometry, image_date, farm_coords):
     """محاسبه ایمن شاخص‌های گیاهی"""
     if _image is None:
         return None
@@ -83,7 +84,7 @@ def get_safe_index_value(_image, index_type, band_selection, farm_geometry, imag
         
         mean_value = index_image.reduceRegion(
             reducer=ee.Reducer.mean(),
-            geometry=farm_geometry,
+            geometry=_farm_geometry,
             scale=10
         ).get(index_type if index_type != "MSAVI" else "MSAVI").getInfo()
         
@@ -97,11 +98,11 @@ def calculate_lai(ndvi):
     return -1.325 + 6.331 * ndvi - 2.239 * (ndvi ** 2)
 
 @st.cache_data
-def get_weekly_average_ndvi(farm_geometry, start_date, end_date):
+def get_weekly_average_ndvi(_farm_geometry, start_date, end_date, farm_coords):
     """محاسبه میانگین هفتگی NDVI"""
     s2_collection = ee.ImageCollection("COPERNICUS/S2") \
         .filterDate(start_date, end_date) \
-        .filterBounds(farm_geometry) \
+        .filterBounds(_farm_geometry) \
         .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
 
     def calculate_ndvi(image):
@@ -114,25 +115,25 @@ def get_weekly_average_ndvi(farm_geometry, start_date, end_date):
 
     mean_ndvi = weekly_ndvi.reduceRegion(
         reducer=ee.Reducer.mean(),
-        geometry=farm_geometry,
+        geometry=_farm_geometry,
         scale=10
     ).get('NDVI').getInfo()
 
     return mean_ndvi
 
 @st.cache_data
-def perform_clustering(farm_geometry, start_date, end_date):
+def perform_clustering(_farm_geometry, start_date, end_date, farm_coords):
     """انجام خوشه‌بندی بر اساس NDVI"""
     s2_collection = ee.ImageCollection("COPERNICUS/S2") \
         .filterDate(start_date, end_date) \
-        .filterBounds(farm_geometry) \
+        .filterBounds(_farm_geometry) \
         .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
 
     composite = s2_collection.median()
     ndvi = composite.normalizedDifference(['B8', 'B4']).rename('NDVI')
 
     training = ndvi.sample(
-        region=farm_geometry,
+        region=_farm_geometry,
         scale=10,
         numPixels=100
     )
@@ -253,6 +254,7 @@ def main():
     
     # تعریف هندسه مزرعه با استفاده از طول و عرض جغرافیایی
     farm_geometry = ee.Geometry.Point([farm_info['longitude'], farm_info['latitude']])
+    farm_coords = f"{farm_info['longitude']},{farm_info['latitude']}"
     
     # ایجاد یک بافر اطراف نقطه مرکزی مزرعه (مثلاً به شعاع 100 متر)
     farm_geometry = farm_geometry.buffer(100)
@@ -284,7 +286,7 @@ def main():
                         if s2_collection.size().getInfo() > 0:
                             s2 = s2_collection.first()
                             for index in band_selection.keys():
-                                value = get_safe_index_value(s2, index, band_selection, farm_geometry, date_str)
+                                value = get_safe_index_value(s2, index, band_selection, farm_geometry, date_str, farm_coords)
                                 index_values[index].append(value)
                         else:
                             for index in band_selection.keys():
@@ -295,11 +297,11 @@ def main():
                             index_values[index].append(0)
 
                 # محاسبه میانگین هفتگی NDVI
-                weekly_ndvi = get_weekly_average_ndvi(farm_geometry, start_date.strftime("%Y-%m-%d"), end_date.strftime("%Y-%m-%d"))
+                weekly_ndvi = get_weekly_average_ndvi(farm_geometry, start_date.strftime("%Y-%m-%d"), end_date.strftime("%Y-%m-%d"), farm_coords)
                 st.write(f"میانگین هفتگی NDVI: {weekly_ndvi:.2f}")
 
                 # انجام خوشه‌بندی
-                clustering_result = perform_clustering(farm_geometry, start_date.strftime("%Y-%m-%d"), end_date.strftime("%Y-%m-%d"))
+                clustering_result = perform_clustering(farm_geometry, start_date.strftime("%Y-%m-%d"), end_date.strftime("%Y-%m-%d"), farm_coords)
 
                 # نمایش نمودارها و نقشه NDVI
                 col1, col2 = st.columns(2)