Update app.py

app.py

@@ -6,12 +6,21 @@ from indices import indices
 import xgboost as xgb
 import pickle
 import json
+from datetime import datetime
 from shapely.geometry import MultiPolygon,shape
 from shapely.geometry import Point
 from shapely.geometry.polygon import Polygon
 from glob import glob
 import wget
 
+def timer(start_time=None):
+    if not start_time:
+        start_time = datetime.now()
+        return start_time
+    elif start_time:
+        thour, temp_sec = divmod((datetime.now() - start_time).total_seconds(), 3600)
+        tmin, tsec = divmod(temp_sec, 60)
+        print('\n Time taken: %i hours %i minutes and %s seconds.' % (thour, tmin, round(tsec, 2)))
 
 def predict(lat, lon):
     cord = [lon,lat]
@@ -34,15 +43,19 @@ def predict(lat, lon):
         return "Choose an area of ivory coast","","","",""
     
     else:
+        start_time = timer(None)
         df = pd.read_csv("data/frame.csv")
         name = find_good_tile(df,point2)
+        timer(start_time)
         if name ==404:
             reponse = "Sentinel-2 does not have data on this location to date"
             return reponse,"","","",""
         else:
+            start_time = timer(None)
             path = "https://data354-public-assets.s3.eu-west-3.amazonaws.com/cisentineldata/"
             url = path+name
             wget.download(url)
+            timer(start_time)
             unzip()
             name,cld_prob,days_ago = select_best_cloud_coverage_tile()
             bandes_path_10,bandes_path_20,bandes_path_60,tile_path,path_cld_20,path_cld_60 =paths(name)