Uncomment EE credentials

app.py

@@ -16,11 +16,11 @@ fiona.drvsupport.supported_drivers['LIBKML'] = 'rw'
 
 #Intialize EE library 
 # Error in EE Authentication 
-# ee_credentials = os.environ.get("EE")
-# os.makedirs(os.path.expanduser("~/.config/earthengine/"), exist_ok=True)
-# with open(os.path.expanduser("~/.config/earthengine/credentials"), "w") as f:
-#     f.write(ee_credentials)
-# ee.Initialize()
+ee_credentials = os.environ.get("EE")
+os.makedirs(os.path.expanduser("~/.config/earthengine/"), exist_ok=True)
+with open(os.path.expanduser("~/.config/earthengine/credentials"), "w") as f:
+    f.write(ee_credentials)
+ee.Initialize()
 
 # Functions
 def convert_to_2d_geometry(geom): #Handles Polygon Only
@@ -162,33 +162,33 @@ if uploaded_file is not None:
         st.write("It has area of {:.2f} meter squared.".format(polygon_info['area']))
         st.write("It has perimeter of {:.2f} meters.".format(polygon_info['perimeter']))
 
-        # Read KML file
-        # geom_ee_object = ee.FeatureCollection(json.loads(gdf.to_json()))
+        #Read KML file
+        geom_ee_object = ee.FeatureCollection(json.loads(gdf.to_json()))
 
-        # # Add buffer of 100m to ee_object
-        # buffered_ee_object = geom_ee_object.map(lambda feature: feature.buffer(100))
+        # Add buffer of 100m to ee_object
+        buffered_ee_object = geom_ee_object.map(lambda feature: feature.buffer(100))
 
-        # # Filter data based on the date, bounds, cloud coverage and select NIR and Red Band
-        # collection = ee.ImageCollection("COPERNICUS/S2_SR_HARMONIZED").filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', max_cloud_cover)).filter(ee.Filter.date(start_date, end_date)).select(['B4', 'B8'])
+        # Filter data based on the date, bounds, cloud coverage and select NIR and Red Band
+        collection = ee.ImageCollection("COPERNICUS/S2_SR_HARMONIZED").filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', max_cloud_cover)).filter(ee.Filter.date(start_date, end_date)).select(['B4', 'B8'])
 
-        # # Get Zonal NDVI based on collection and geometries (Original KML and Buffered KML)
-        # df_geom = get_zonal_ndvi(collection, geom_ee_object)
-        # df_buffered_geom = get_zonal_ndvi(collection, buffered_ee_object)
+        # Get Zonal NDVI based on collection and geometries (Original KML and Buffered KML)
+        df_geom = get_zonal_ndvi(collection, geom_ee_object)
+        df_buffered_geom = get_zonal_ndvi(collection, buffered_ee_object)
 
-        # # Merge both Zonalstats and create resultant dataframe
-        # resultant_df = pd.merge(df_geom, df_buffered_geom, on='Date', how='inner')
-        # resultant_df = resultant_df.rename(columns={'NDVI_x': 'AvgNDVI_Inside', 'NDVI_y': 'Avg_NDVI_Buffer', 'Imagery_x': 'Imagery'})
-        # resultant_df['Ratio'] = resultant_df['AvgNDVI_Inside'] / resultant_df['Avg_NDVI_Buffer']
-        # resultant_df.drop(columns=['Imagery_y'], inplace=True)
+        # Merge both Zonalstats and create resultant dataframe
+        resultant_df = pd.merge(df_geom, df_buffered_geom, on='Date', how='inner')
+        resultant_df = resultant_df.rename(columns={'NDVI_x': 'AvgNDVI_Inside', 'NDVI_y': 'Avg_NDVI_Buffer', 'Imagery_x': 'Imagery'})
+        resultant_df['Ratio'] = resultant_df['AvgNDVI_Inside'] / resultant_df['Avg_NDVI_Buffer']
+        resultant_df.drop(columns=['Imagery_y'], inplace=True)
 
-        # # Re-order the columns of the resultant dataframe
-        # resultant_df = resultant_df[['Date', 'Imagery', 'AvgNDVI_Inside', 'Avg_NDVI_Buffer', 'Ratio']]
+        # Re-order the columns of the resultant dataframe
+        resultant_df = resultant_df[['Date', 'Imagery', 'AvgNDVI_Inside', 'Avg_NDVI_Buffer', 'Ratio']]
 
-        # st.write(resultant_df)
+        st.write(resultant_df)
         
-        # # plot the time series
-        # st.write("Time Series Plot")
-        # st.line_chart(resultant_df.set_index('Date'))
+        # plot the time series
+        st.write("Time Series Plot")
+        st.line_chart(resultant_df.set_index('Date'))
     
     else:
         st.write('ValueError: "Input must have single polygon geometry"')