it must be step-by-step

generation/vec_tiles_gen.py

@@ -18,5 +18,5 @@
 
     runstring = f'docker run --rm -v ./data:/data {docker_img} ogr2ogr -f PMTiles {outpath} {layers_dict[layername]} -dsco MINZOOM={TILES_MIN_ZOOM} -dsco MAXZOOM={TILES_MAX_ZOOM} -progress'
 
-    print(runstring)
+    subprocess.run(runstring,shell=True)
 

other/empty.json

@@ -0,0 +1 @@
+{}

statistics_funcs.py

@@ -60,7 +60,8 @@ def return_weblink(string_id,type='way'):
     return f"<a href=https://www.openstreetmap.org/{type}/{string_id}>{string_id}</a>"
 
 def get_year_surveydate(featuredate):
-    return featuredate.split('-')[0]
+    if featuredate:
+        return featuredate.split('-')[0]
 
 def double_scatter_bar(input_df,title,xs='surface',ys='smoothness',scolor=None,xh='count()',yh1='surface',yh2='smoothness',hcolor=None,fontsize=24,tooltip_fields=['element_type','id']):
 

statistics_generation.py

@@ -1,30 +1,34 @@
 from statistics_specs import *
 # reading data:
 
+exit('Suspended Temporarily')
+
 for category in paths_dict['data']:
+    if category != 'other_footways': #TODO: remove this to include this category also
+        print('Adaptations for:',category)
 
-    # creating additional fields
+        # creating additional fields
 
-    if geom_type_dict[category] == 'LineString':
-        create_length_field(gdfs_dict[category])
-        create_weblink_field(gdfs_dict[category])
-    elif geom_type_dict[category] == 'Point':
-        create_weblink_field(gdfs_dict[category],'Point')
+        if geom_type_dict[category] == 'LineString':
+            create_length_field(gdfs_dict[category])
+            create_weblink_field(gdfs_dict[category])
+        elif geom_type_dict[category] == 'Point':
+            create_weblink_field(gdfs_dict[category],'Point')
 
-    if 'survey:date' in gdfs_dict[category].columns:
+        if 'survey:date' in gdfs_dict[category].columns:
 
-        gdfs_dict[category]['Year of Survey'] = gdfs_dict[category]['survey:date'].apply(get_year_surveydate)
+            gdfs_dict[category]['Year of Survey'] = gdfs_dict[category]['survey:date'].apply(get_year_surveydate)
 
 
-    create_folder_if_not_exists(os.path.join('statistics',category))
+        create_folder_if_not_exists(os.path.join('statistics',category))
 
-    # updating info:
-    updating_dicts[category]['month_year'] = updating_dicts[category]['rev_month'].map("{:02d}".format) + '_' + updating_dicts[category]['rev_year'].astype(str)
+        # updating info:
+        updating_dicts[category]['month_year'] = updating_dicts[category]['rev_month'].map("{:02d}".format) + '_' + updating_dicts[category]['rev_year'].astype(str)
 
-    updating_dicts[category]['year_month'] =  updating_dicts[category]['rev_year'].astype(str) + "_" + updating_dicts[category]['rev_month'].map("{:02d}".format)
+        updating_dicts[category]['year_month'] =  updating_dicts[category]['rev_year'].astype(str) + "_" + updating_dicts[category]['rev_month'].map("{:02d}".format)
 
 
-    updating_dicts[category].sort_values('year_month',inplace=True)
+        updating_dicts[category].sort_values('year_month',inplace=True)
 
 generated_list_dict = {}
 charts_titles = {}
@@ -57,6 +61,7 @@
         <a href="{node_homepage_url}" class="active">Home</a>
     """
 
+print(generated_list_dict)
 
 for category in generated_list_dict:
     category_homepage = get_url(generated_list_dict[category][0])

statistics_specs.py

@@ -7,7 +7,11 @@
 for category in paths_dict['data']:
     gdfs_dict[category] = gpd.read_parquet(paths_dict['data'][category])
 
-    updating_dicts[category] = pd.read_json(paths_dict['versioning'][category])
+    if os.path.exists(paths_dict['versioning'].get(category)):
+        updating_dicts[category] = pd.read_json(paths_dict['versioning'][category])
+    else:
+        updating_dicts[category] = pd.DataFrame()
+
 
 
 charts_specs = {