From 5099374b7b877beb533e1123f0b10cdc5b8a6cbc Mon Sep 17 00:00:00 2001
From: kauevestena <kauemv2@gmail.com>
Date: Tue, 17 Sep 2024 17:39:55 -0300
Subject: [PATCH] more symbols, some black styling

---
 assets/map_symbols/footway_categories.png | Bin 0 -> 16412 bytes
 assets/map_symbols/lit.png                | Bin 6732 -> 6713 bytes
 assets/map_symbols/smoothness.png         | Bin 11941 -> 12284 bytes
 assets/map_symbols/surface.png            | Bin 26552 -> 26745 bytes
 assets/map_symbols/tactile_paving.png     | Bin 4741 -> 4695 bytes
 assets/map_symbols/traffic_calming.png    | Bin 3806 -> 3860 bytes
 assets/map_symbols/wheelchair.png         | Bin 6027 -> 6061 bytes
 constants.py                              | 810 ++++++++++------------
 functions.py                              | 448 +++++++-----
 webmap/create_webmap_new.py               |  50 +-
 webmap/standalone_legend.py               |  47 +-
 webmap/webmap_lib.py                      | 437 ++++++------
 12 files changed, 944 insertions(+), 848 deletions(-)
 create mode 100644 assets/map_symbols/footway_categories.png

diff --git a/assets/map_symbols/footway_categories.png b/assets/map_symbols/footway_categories.png
new file mode 100644
index 0000000000000000000000000000000000000000..30db5f722912776a84d5d4bcf2f48131b1d8d1e1
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diff --git a/assets/map_symbols/traffic_calming.png b/assets/map_symbols/traffic_calming.png
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diff --git a/constants.py b/constants.py
index d1ff7e6..811668a 100644
--- a/constants.py
+++ b/constants.py
@@ -1,5 +1,6 @@
 import sys, os
-sys.path.append('.')
+
+sys.path.append(".")
 
 from config import *
 
@@ -13,7 +14,7 @@
 # global max zoom level
 max_zoom = 22
 
-data_format = '.parquet'
+data_format = ".parquet"
 
 # node archives general paths
 map_page_name = "./map.html"
@@ -22,123 +23,134 @@
 boundaries_path = "./data/boundaries" + data_format
 boundaries_geojson_path = "./data/boundaries.geojson"
 boundaries_md_path = "./data/boundaries_md.json"
-workflows_path = '.github/workflows'
+workflows_path = ".github/workflows"
 
 # data folderpaths:
-improper_geoms_folderpath = 'data/improper_geoms'
-disjointed_folderpath = 'data/disjointed'
-versioning_folderpath = 'data/versioning'
-other_footways_folderpath = 'data/other_footways'
-tiles_folderpath = 'data/tiles'
-vrts_folderpath = 'data/vrts'
+improper_geoms_folderpath = "data/improper_geoms"
+disjointed_folderpath = "data/disjointed"
+versioning_folderpath = "data/versioning"
+other_footways_folderpath = "data/other_footways"
+tiles_folderpath = "data/tiles"
+vrts_folderpath = "data/vrts"
 
 other_footways_subcatecories = {
-    'stairways' : {'highway':['steps']},
-    'main_footways' : {'highway':['footway','living_street'],'foot':['designated'],'footway': ['alley','path','yes']},
-    'potential_footways' : {'highway':['path','track']},
-    'informal_footways' : {'foot':['yes','permissive']},
-    'pedestrian_areas' : {} #defined only by geometry type (Polygon,Multipolygon)
+    "stairways": {"highway": ["steps"]},
+    "main_footways": {
+        "highway": ["footway", "living_street"],
+        "foot": ["designated"],
+        "footway": ["alley", "path", "yes"],
+    },
+    "potential_footways": {"highway": ["path", "track"]},
+    "informal_footways": {"foot": ["yes", "permissive"]},
+    "pedestrian_areas": {},  # defined only by geometry type (Polygon,Multipolygon)
 }
 
 # establishing other footways geometry types, default is 'LineString'
-other_footways_geometry_types = {k:'LineString' for k, v in other_footways_subcatecories.items()}
-other_footways_geometry_types['pedestrian_areas'] = 'Polygon'
+other_footways_geometry_types = {
+    k: "LineString" for k, v in other_footways_subcatecories.items()
+}
+other_footways_geometry_types["pedestrian_areas"] = "Polygon"
 
 data_layer_descriptions = {
-    'kerbs' : 'Access points in the kerb lane where the sidewalk and the road meet, along a crossing.',
-    'sidewalks' : 'A footway that is juxtaposed to a road, a type of sidepath.',
-    'crossings' : 'The line that allows pedestrians to cross some road.',
-    'other_footways' : {
-        'stairways' : 'Pathways composed of steps.',
-        'main_footways' : 'Pathways which main usage is pedestrian displacement.',
-        'potential_footways' : 'Pathways with vague description, generally usable for pedestrians, but sometimes not as its main or sole purpose, such as some rural tracks.',
-        'informal_footways' : 'Pathways that are not made for pedestrian usage, but they generally used due to the absence of proper footways.',
-        'pedestrian_areas' : 'Areas where pedestrians can generally displace freely in normal circumstances.'
-    }
+    "kerbs": "Access points in the kerb lane where the sidewalk and the road meet, along a crossing.",
+    "sidewalks": "A footway that is juxtaposed to a road, a type of sidepath.",
+    "crossings": "The line that allows pedestrians to cross some road.",
+    "other_footways": {
+        "stairways": "Pathways composed of steps.",
+        "main_footways": "Pathways which main usage is pedestrian displacement.",
+        "potential_footways": "Pathways with vague description, generally usable for pedestrians, but sometimes not as its main or sole purpose, such as some rural tracks.",
+        "informal_footways": "Pathways that are not made for pedestrian usage, but they generally used due to the absence of proper footways.",
+        "pedestrian_areas": "Areas where pedestrians can generally displace freely in normal circumstances.",
+    },
 }
 
 # ogr2ogr path
-OGR2OGR_PATH = 'ogr2ogr'
+OGR2OGR_PATH = "ogr2ogr"
 
 layer_tags_dict = {
-    'kerbs': {'kerb': ['lowered','raised','flush','rolled','no','yes'], 'barrier': ['kerb']},
-    'sidewalks': {'footway': ['sidewalk']},
-    'crossings': {'footway': ['crossing']},
-    'other_footways' : OTHER_FOOTWAY_RULES
-    }
+    "kerbs": {
+        "kerb": ["lowered", "raised", "flush", "rolled", "no", "yes"],
+        "barrier": ["kerb"],
+    },
+    "sidewalks": {"footway": ["sidewalk"]},
+    "crossings": {"footway": ["crossing"]},
+    "other_footways": OTHER_FOOTWAY_RULES,
+}
 
 layer_exclusion_tags = {
-    'kerbs': {},
-    'sidewalks': {},
-    'crossings': {},
-    'other_footways' : OTHER_FOOTWAY_EXCLUSION_RULES,
+    "kerbs": {},
+    "sidewalks": {},
+    "crossings": {},
+    "other_footways": OTHER_FOOTWAY_EXCLUSION_RULES,
 }
 
 bbox_as_list = ()
 
 # data paths
-sidewalks_path = 'data/sidewalks' + data_format
-crossings_path = 'data/crossings' + data_format
-kerbs_path = 'data/kerbs' + data_format
-other_footways_path = 'data/other_footways' + data_format
+sidewalks_path = "data/sidewalks" + data_format
+crossings_path = "data/crossings" + data_format
+kerbs_path = "data/kerbs" + data_format
+other_footways_path = "data/other_footways" + data_format
 
-sidewalks_path_raw = 'data/sidewalks_raw' + data_format
-crossings_path_raw = 'data/crossings_raw' + data_format
-kerbs_path_raw = 'data/kerbs_raw' + data_format
-other_footways_path_raw = 'data/other_footways_raw' + data_format
+sidewalks_path_raw = "data/sidewalks_raw" + data_format
+crossings_path_raw = "data/crossings_raw" + data_format
+kerbs_path_raw = "data/kerbs_raw" + data_format
+other_footways_path_raw = "data/other_footways_raw" + data_format
 
-sidewalks_path_versioning = 'data/versioning/sidewalks_versioning.json'
-crossings_path_versioning = 'data/versioning/crossings_versioning.json'
-kerbs_path_versioning = 'data/versioning/kerbs_versioning.json'
-other_footways_path_versioning = 'data/versioning/other_footways_versioning.json'
+sidewalks_path_versioning = "data/versioning/sidewalks_versioning.json"
+crossings_path_versioning = "data/versioning/crossings_versioning.json"
+kerbs_path_versioning = "data/versioning/kerbs_versioning.json"
+other_footways_path_versioning = "data/versioning/other_footways_versioning.json"
 
 # data quality jsons path
-feat_keys_path = 'quality_check/feature_keys.json'
-keys_without_wiki_path = 'quality_check/keys_without_wiki.json'
-unique_values_path = 'quality_check/unique_tag_values.json'
-valid_values_path = 'quality_check/valid_tag_values.json'
+feat_keys_path = "quality_check/feature_keys.json"
+keys_without_wiki_path = "quality_check/keys_without_wiki.json"
+unique_values_path = "quality_check/unique_tag_values.json"
+valid_values_path = "quality_check/valid_tag_values.json"
 
 # node homepage:
-user_basepage_url = f'https://{USERNAME}.github.io/'
-node_homepage_url = f'https://{USERNAME}.github.io/{REPO_NAME}/'
-data_folder_url = f'https://{USERNAME}.github.io/{REPO_NAME}/data/'
-data_updating_url = f'https://{USERNAME}.github.io/{REPO_NAME}/data/data_updating.html'
+user_basepage_url = f"https://{USERNAME}.github.io/"
+node_homepage_url = f"https://{USERNAME}.github.io/{REPO_NAME}/"
+data_folder_url = f"https://{USERNAME}.github.io/{REPO_NAME}/data/"
+data_updating_url = f"https://{USERNAME}.github.io/{REPO_NAME}/data/data_updating.html"
 
 # codebase as page:
-codebase_homepage = 'https://kauevestena.github.io/oswm_codebase/'
+codebase_homepage = "https://kauevestena.github.io/oswm_codebase/"
 
 paths_dict = {
-    'data' :{
-        'sidewalks': sidewalks_path,
-        'crossings': crossings_path,
-        'kerbs': kerbs_path,
-        'other_footways' : other_footways_path
+    "data": {
+        "sidewalks": sidewalks_path,
+        "crossings": crossings_path,
+        "kerbs": kerbs_path,
+        "other_footways": other_footways_path,
     },
-    'data_raw' : {
-        'sidewalks': sidewalks_path_raw,
-        'crossings': crossings_path_raw,
-        'kerbs': kerbs_path_raw,
-        'other_footways' : other_footways_path_raw
+    "data_raw": {
+        "sidewalks": sidewalks_path_raw,
+        "crossings": crossings_path_raw,
+        "kerbs": kerbs_path_raw,
+        "other_footways": other_footways_path_raw,
     },
-    'versioning' : {
-        'sidewalks': sidewalks_path_versioning,
-        'crossings': crossings_path_versioning,
-        'kerbs': kerbs_path_versioning,
-        'other_footways' : other_footways_path_versioning
+    "versioning": {
+        "sidewalks": sidewalks_path_versioning,
+        "crossings": crossings_path_versioning,
+        "kerbs": kerbs_path_versioning,
+        "other_footways": other_footways_path_versioning,
     },
-    'other_footways_subcategories' : {},
-    'map_layers' : {
-        'sidewalks': sidewalks_path,
-        'crossings': crossings_path,
-        'kerbs': kerbs_path,
+    "other_footways_subcategories": {},
+    "map_layers": {
+        "sidewalks": sidewalks_path,
+        "crossings": crossings_path,
+        "kerbs": kerbs_path,
     },
 }
 
 # paths for other_footways subcategories:
 for subcategory in other_footways_subcatecories:
-    subcategory_path = os.path.join(other_footways_folderpath, subcategory+data_format)
-    paths_dict['other_footways_subcategories'][subcategory] = subcategory_path
-    paths_dict['map_layers'][subcategory] = subcategory_path
+    subcategory_path = os.path.join(
+        other_footways_folderpath, subcategory + data_format
+    )
+    paths_dict["other_footways_subcategories"][subcategory] = subcategory_path
+    paths_dict["map_layers"][subcategory] = subcategory_path
 
 
 # max radius to cut off unconnected crossings and kerbs
@@ -148,498 +160,426 @@
 default_score = 0.5
 
 fields_values_properties = {
-    'sidewalks':{
-        'surface': {
+    "sidewalks": {
+        "surface": {
             # colorscheme 12-class Set3 from colorbrewer (thx!!), avaliiable at:
             # https://colorbrewer2.org/?type=qualitative&scheme=Set3&n=12
-
-            'asphalt':{
-                'score_default' : 100,
-                'color' : '#fb8072', #
+            "asphalt": {
+                "score_default": 100,
+                "color": "#fb8072",  #
             },
-            'concrete':{
-                'score_default' : 100,
-                'color' : '#80b1d3', 
+            "concrete": {
+                "score_default": 100,
+                "color": "#80b1d3",
             },
-            'concrete:plates':{
-                'score_default' : 70,
-                'color' : '#fccde5', #
+            "concrete:plates": {
+                "score_default": 70,
+                "color": "#fccde5",  #
             },
-            'paving_stones':{
-                'score_default' : 90,
-                'color' : '#bebada', #
+            "paving_stones": {
+                "score_default": 90,
+                "color": "#bebada",  #
             },
-            'sett':{
-                'score_default' : 60,
-                'color' : '#ffed6f', #
+            "sett": {
+                "score_default": 60,
+                "color": "#ffed6f",  #
             },
-
-            'cobblestone':{
-                'score_default' : 60,
-                'color' : '#ffed6f', #
+            "cobblestone": {
+                "score_default": 60,
+                "color": "#ffed6f",  #
             },
-            
-            'unhewn_cobblestone':{
-                'score_default' : 50,
-                'color' : '#ffffb3', #black
+            "unhewn_cobblestone": {
+                "score_default": 50,
+                "color": "#ffffb3",  # black
             },
-
-            'ground':{
-                'score_default' : 30,
-                'color' : '#fdb462' }, #
-            'dirt':{
-                'score_default' : 30,
-                'color' : '#fdb462' }, #
-            'earth':{
-                'score_default' : 30,
-                'color' : '#fdb462', #
+            "ground": {"score_default": 30, "color": "#fdb462"},  #
+            "dirt": {"score_default": 30, "color": "#fdb462"},  #
+            "earth": {
+                "score_default": 30,
+                "color": "#fdb462",  #
             },
-            'sand':{
-                'score_default' : 30,
-                'color' : '#fdb462', #
+            "sand": {
+                "score_default": 30,
+                "color": "#fdb462",  #
             },
-            'grass':{
-                'score_default' : 30,
-                'color' : '#b3de69', #
+            "grass": {
+                "score_default": 30,
+                "color": "#b3de69",  #
             },
             # 'grass_paver':{
             #     'score_default' : 3,
             #     'color' : '#000000', #black
             # },
-
-            'paved':{
-                'score_default' : 60, # equals to worst paved: sett
-                'color' : '#ffffff', # white
+            "paved": {
+                "score_default": 60,  # equals to worst paved: sett
+                "color": "#ffffff",  # white
             },
-            'unpaved':{
-                'score_default' : 30,
-                'color' : '#d9d9d9', #
+            "unpaved": {
+                "score_default": 30,
+                "color": "#d9d9d9",  #
             },
-
             # a sample for uncommon values:
-
-            'gravel':{
-                'score_default' : 30,
-                'color' : '#bc80bd', #
+            "gravel": {
+                "score_default": 30,
+                "color": "#bc80bd",  #
             },
-
-            'compacted':{
-                'score_default' : 30,
-                'color' : '#bc80bd', #
+            "compacted": {
+                "score_default": 30,
+                "color": "#bc80bd",  #
             },
-
-
-            'ceramic:tiles':{
-                'score_default' : 70,
-                'color' : '#bc80bd', #
+            "ceramic:tiles": {
+                "score_default": 70,
+                "color": "#bc80bd",  #
             },
-
-            'wood':{
-                'score_default' : 50,
-                'color' : '#bc80bd', #
+            "wood": {
+                "score_default": 50,
+                "color": "#bc80bd",  #
             },
-
-            'metal':{
-                'score_default' : 100,
-                'color' : '#bc80bd', #
+            "metal": {
+                "score_default": 100,
+                "color": "#bc80bd",  #
             },
-
             # 'Petit_Pavê':{
             #     'score_default' : 65,
             #     'color' : '#bc80bd', #
             # },
-
             # for the filled ones:
-            '?':{
-                'score_default' : 10,
-                'color' : '#434343', #
+            "?": {
+                "score_default": 10,
+                "color": "#434343",  #
             },
         },
-
-        'wheelchair': {
-            '?':{
-                'score_default' : 0, # equivalent to "very horrible"
-                'color' : '#434343', #
+        "wheelchair": {
+            "yes": {
+                "score_default": 0,  # equivalent to "very horrible"
+                "color": "#91bfdb",  #
             },
-
-            'no':{
-                'score_default' : 0, # equivalent to "very horrible"
-                'color' : '#fc8d59', #
+            "designated": {
+                "score_default": 0,  # equivalent to "very horrible"
+                "color": "#91bfdb",  #
             },
-
-
-            'limited':{
-                'score_default' : 0, # equivalent to "very horrible"
-                'color' : '#ffffbf', #
+            "limited": {
+                "score_default": 0,  # equivalent to "very horrible"
+                "color": "#ffffbf",  #
             },
-
-            'yes':{
-                'score_default' : 0, # equivalent to "very horrible"
-                'color' : '#91bfdb', #
+            "no": {
+                "score_default": 0,  # equivalent to "very horrible"
+                "color": "#fc8d59",  #
             },
-
-            'designated':{
-                'score_default' : 0, # equivalent to "very horrible"
-                'color' : '#91bfdb', #
+            "?": {
+                "score_default": 0,  # equivalent to "very horrible"
+                "color": "#434343",  #
             },
-
-
-        
-
-
         },
-
-
-        'smoothness' : {
-            # for absence:
-            '?':{
-                'score_default' : 40, # equivalent to "very horrible"
-                'color' : '#434343', #
-            },
-
+        "smoothness": {
             # color scheme: ColorBrewer (thx!!) 11-class RdYlBu
-
             # valid:
-            'excellent':{
-                'score_default' : 10, 
-                'color' : '#4575b4', #
+            "excellent": {
+                "score_default": 10,
+                "color": "#4575b4",  #
             },
-            'good':{
-                'score_default' : 90, 
-                'color' : '#abd9e9', #
+            "good": {
+                "score_default": 90,
+                "color": "#abd9e9",  #
             },
-            'intermediate':{
-                'score_default' : 70, 
-                'color' : '#ffffbf', #
+            "intermediate": {
+                "score_default": 70,
+                "color": "#ffffbf",  #
             },
-            'bad':{
-                'score_default' : 50, 
-                'color' : '#fdae61', #
+            "bad": {
+                "score_default": 50,
+                "color": "#fdae61",  #
             },
-            'very_bad':{
-                'score_default' : 40, 
-                'color' : '#fdae61', #
+            "very_bad": {
+                "score_default": 40,
+                "color": "#fdae61",  #
             },
-            'horrible':{
-                'score_default' : 20, 
-                'color' : '#f46d43', #
+            "horrible": {
+                "score_default": 20,
+                "color": "#f46d43",  #
             },
-            'very_horrible':{
-                'score_default' : 10, 
-                'color' : '#f46d43', #
+            "very_horrible": {
+                "score_default": 10,
+                "color": "#f46d43",  #
             },
-            'impassable':{
-                'score_default' : 0, 
-                'color' : '#a50026', #
+            "impassable": {
+                "score_default": 0,
+                "color": "#a50026",  #
             },
-
-
-        # invalid values must be handled individually
+            # for absence:
+            "?": {
+                "score_default": 40,  # equivalent to "very horrible"
+                "color": "#434343",  #
+            },
+            # invalid values must be handled individually
         },
-        'lit' : {
-            '?':{
-                'score_default' : 10,
-                'color' : '#434343', #
+        "lit": {
+            "yes": {
+                "score_default": 10,
+                "color": "#ffff99",  #
             },
-
-            'yes':{
-                'score_default' : 10,
-                'color' : '#ffff99', #
+            "automatic": {
+                "score_default": 10,
+                "color": "#ffff99",  #
             },
-            'automatic':{
-                'score_default' : 10,
-                'color' : '#ffff99', #
+            "24/7": {
+                "score_default": 10,
+                "color": "#ffff99",  #
             },
-            'no':{
-                'score_default' : 10,
-                'color' : '#6a3d9a', #
+            "no": {
+                "score_default": 10,
+                "color": "#6a3d9a",  #
             },
-            'disused':{
-                'score_default' : 10,
-                'color' : '#6a3d9a', #
+            "disused": {
+                "score_default": 10,
+                "color": "#6a3d9a",  #
             },
-            '24/7':{
-                'score_default' : 10,
-                'color' : '#ffff99', #
+            "?": {
+                "score_default": 10,
+                "color": "#434343",  #
             },
         },
-
-        'width':{
-            '?':{
-                'score_default' : 10,
-                'color' : '#434343', #
+        "width": {
+            "?": {
+                "score_default": 10,
+                "color": "#434343",  #
             },
             # in a future...
         },
-        'incline':{
-            '?':{
-                'score_default' : 10,
-                'color' : '#434343', #
+        "incline": {
+            "?": {
+                "score_default": 10,
+                "color": "#434343",  #
             },
             # in a future...
         },
-        'tactile_paving':{
-            #CHECK KERBS
+        "tactile_paving": {
+            # CHECK KERBS
         },
-        'incline:across':{
-            '?':{
-                'score_default' : 10,
-                'color' : '#434343', #
+        "incline:across": {
+            "?": {
+                "score_default": 10,
+                "color": "#434343",  #
             },
             # in a future...
-        }
+        },
     },
-
-    'kerbs':{
-        'kerb':{
-            'raised':{
-                'score_default' : -30,
-                'color' : '#000000', #black
+    "kerbs": {
+        "kerb": {
+            "raised": {
+                "score_default": -30,
+                "color": "#000000",  # black
             },
-            'rolled':{
-                'score_default' : 0,
-                'color' : '#808080', #50% gray
+            "rolled": {
+                "score_default": 0,
+                "color": "#808080",  # 50% gray
             },
-            'no':{
-                'score_default' : 10,
-                'color' : '#bebebe', #75% hray
+            "no": {
+                "score_default": 10,
+                "color": "#bebebe",  # 75% hray
             },
-            'lowered':{
-                'score_default' : 50,
-                'color' : '#ffffff', #white
+            "lowered": {
+                "score_default": 50,
+                "color": "#ffffff",  # white
             },
-            'flush':{
-                'score_default' : 60,
-                'color' : '#ffffff', #white
+            "flush": {
+                "score_default": 60,
+                "color": "#ffffff",  # white
             },
-
-            '?':{
-                'score_default' : -10, # equivalent to "raised"
-                'color' : '#d9d9d9', #
+            "?": {
+                "score_default": -10,  # equivalent to "raised"
+                "color": "#d9d9d9",  #
             },
-
         },
-        'tactile_paving':{
-            'yes':{
-                'score_default' : 100,
-                'color' : '#6146d0', 
-
-                'opacity' : 1, 
-            },
-            'contrasted':{
-                'score_default' : 100,
-                'color' : '#6146d0', 
-
-                'opacity' : 1, 
-
-            },
-            'no':{
-                'score_default' : 0,
-                'color' : '#bd1006', 
-
-                'opacity' : 0, 
-
+        "tactile_paving": {
+            "yes": {
+                "score_default": 100,
+                "color": "#6146d0",
+                "opacity": 1,
+            },
+            "contrasted": {
+                "score_default": 100,
+                "color": "#6146d0",
+                "opacity": 1,
+            },
+            "no": {
+                "score_default": 0,
+                "color": "#bd1006",
+                "opacity": 0,
+            },
+            "?": {
+                "score_default": 0,  # equivalent to "no"
+                "color": "#717171",  # "#434343", #
+                "opacity": 0,
             },
-
-            '?':{
-                'score_default' : 0, # equivalent to "no"
-                'color' : "#717171",#"#434343", #
-
-                'opacity' : 0, 
-
-            },
-
-        }
         },
-
-    'crossings':{
+    },
+    "crossings": {
         # default scores should be what was named "bonus"
-        'crossing': {
+        "crossing": {
             # base color-scheme: ColorBrewer (thx!!) 12-class Paired
-            'no':{
+            "no": {
                 # 'score_default' : 0,
                 # 'bonus' : -100,
-                'score_default' : -100,
-
-                'dasharray' :"0",
-                'dashoffset': '0',
-
-                'color' : '#e31a1c', # RED
-
+                "score_default": -100,
+                "dasharray": "0",
+                "dashoffset": "0",
+                "color": "#e31a1c",  # RED
             },
-            'unmarked':{
+            "unmarked": {
                 # 'score_default' : 70,
                 # 'bonus' : 0,
-                'score_default' : 0,
-
+                "score_default": 0,
                 # may get help on: https://gigacore.github.io/demos/svg-stroke-dasharray-generator/
-
-                'dasharray' :"5,10",
-                'dashoffset': '0',
-
-
-                'color' : '#ffff99',
+                "dasharray": "5,10",
+                "dashoffset": "0",
+                "color": "#ffff99",
             },
-            'marked':{
+            "marked": {
                 # 'score_default' : 90,
                 # 'bonus' : 20,
-
-                'score_default' : 20,
-
-                'dasharray' :"0",
-                'dashoffset': '0',
-
-
-                'color' : '#a6cee3', 
+                "score_default": 20,
+                "dasharray": "0",
+                "dashoffset": "0",
+                "color": "#a6cee3",
             },
-
-            'zebra':{
+            "zebra": {
                 # 'score_default' : 90,
                 # 'bonus' : 20,
-
-                'score_default' : 20,
-
-                'dasharray' :"0",
-                'dashoffset': '0',
-
-
-                'color' : '#a6cee3', 
+                "score_default": 20,
+                "dasharray": "0",
+                "dashoffset": "0",
+                "color": "#a6cee3",
             },
-
-            'uncontrolled':{
+            "uncontrolled": {
                 # 'score_default' : 100,
                 # 'bonus' : 30,
-
-                'score_default' : 30,
-
-                'dasharray' :"0",
-                'dashoffset': '0',
-
-
-                'color' : '#a6cee3', 
+                "score_default": 30,
+                "dasharray": "0",
+                "dashoffset": "0",
+                "color": "#a6cee3",
             },
-
-            'traffic_signals':{
+            "traffic_signals": {
                 # 'score_default' : 100,
                 # 'bonus' : 30,
-
-                'score_default' : 30,
-
-                'dasharray' :"0",
-                'dashoffset': '0',
-
-                'color' : '#1f78b4', 
+                "score_default": 30,
+                "dasharray": "0",
+                "dashoffset": "0",
+                "color": "#1f78b4",
             },
-
-            '?':{
+            "?": {
                 # 'score_default' : 10,
                 # 'bonus' : 0,
-
-                'score_default' : 0,
-
-                'dasharray' :"0",
-                'dashoffset': '0',
-
-
-                'color' : 'gray', #
+                "score_default": 0,
+                "dasharray": "0",
+                "dashoffset": "0",
+                "color": "gray",  #
             },
-
-
         },
-        'surface':{
+        "surface": {
             # CHECK SIDEWALKS
-
         },
-        'smoothness':{
+        "smoothness": {
             # CHECK SIDEWALKS
-
-
         },
-        'traffic_calming':{
-            'table':{
+        "traffic_calming": {
+            "table": {
                 # 'score_default' : 100,
-                'score_default' : 20,
-
+                "score_default": 20,
                 # 'bonus' : 20,
-                'color' : '#ffff99',
+                "color": "#ffff99",
             },
-
-            'bump':{
+            "bump": {
                 # 'score_default' : 100,
-                'score_default' : 20,
-
+                "score_default": 20,
                 # 'bonus' : 20,
-                'color' : '#ffff99',
+                "color": "#ffff99",
             },
-
-            'hump':{
+            "hump": {
                 # 'score_default' : 100,
-                'score_default' : 20,
-
+                "score_default": 20,
                 # 'bonus' : 20,
-                'color' : '#ffff99',
+                "color": "#ffff99",
             },
-
-            '?':{
-                'score_default' : 0,
-                'color' : '#63636399', #
+            "?": {
+                "score_default": 0,
+                "color": "#63636399",  #
             },
-
-        }
-}
+        },
+    },
 }
 
 layernames = [key for key in fields_values_properties]
 
 
 # values to be copied:
-fields_values_properties['sidewalks']['tactile_paving'] = fields_values_properties['kerbs']['tactile_paving']
+fields_values_properties["sidewalks"]["tactile_paving"] = fields_values_properties[
+    "kerbs"
+]["tactile_paving"]
 
-fields_values_properties['crossings']['surface'] = fields_values_properties['sidewalks']['surface']
+fields_values_properties["crossings"]["surface"] = fields_values_properties[
+    "sidewalks"
+]["surface"]
 
-fields_values_properties['crossings']['smoothness'] = fields_values_properties['sidewalks']['smoothness']
+fields_values_properties["crossings"]["smoothness"] = fields_values_properties[
+    "sidewalks"
+]["smoothness"]
 
 
 # required_fields:
 req_fields = {
-    'sidewalks':['surface','smoothness','width','incline','tactile_paving','incline:across','osm_id','last_update'],
-    'kerbs':['kerb','tactile_paving','osm_id','last_update'],
-    'crossings':['crossing','surface','smoothness','traffic_calming','osm_id','last_update'],
+    "sidewalks": [
+        "surface",
+        "smoothness",
+        "width",
+        "incline",
+        "tactile_paving",
+        "incline:across",
+        "osm_id",
+        "last_update",
+    ],
+    "kerbs": ["kerb", "tactile_paving", "osm_id", "last_update"],
+    "crossings": [
+        "crossing",
+        "surface",
+        "smoothness",
+        "traffic_calming",
+        "osm_id",
+        "last_update",
+    ],
 }
 
 # a case of "smoothness=concrete:pĺates" demanded this
-wrong_misspelled_values ={
-    'sidewalks':{
-        'smoothness':{'concrete:plates':'?'},
-        'surface':{'betão':'?','Petit_Pavê':'sett','porcelain tiles':'ceramic:tiles'}
-    },
-    'kerbs':{
-
-    },
-    'crossings':{
-
-    },
-    'other_footways':{
-
+wrong_misspelled_values = {
+    "sidewalks": {
+        "smoothness": {"concrete:plates": "?"},
+        "surface": {
+            "betão": "?",
+            "Petit_Pavê": "sett",
+            "porcelain tiles": "ceramic:tiles",
+        },
     },
+    "kerbs": {},
+    "crossings": {},
+    "other_footways": {},
 }
 
 geom_type_dict = {
-    'sidewalks':['LineString'],
-    'crossings':['LineString'],
-    'kerbs':['Point'],
-    'other_footways':['LineString','Polygon','MultiPolygon'] 
+    "sidewalks": ["LineString"],
+    "crossings": ["LineString"],
+    "kerbs": ["Point"],
+    "other_footways": ["LineString", "Polygon", "MultiPolygon"],
 }
 
-all_layers_geom_types = {k:v[0] for k,v in geom_type_dict.items()}
-del all_layers_geom_types['other_footways']
+all_layers_geom_types = {k: v[0] for k, v in geom_type_dict.items()}
+del all_layers_geom_types["other_footways"]
 for subcategory in other_footways_geometry_types:
     all_layers_geom_types[subcategory] = other_footways_geometry_types[subcategory]
 
 
-statistics_basepath = 'statistics'
+statistics_basepath = "statistics"
 
-# defined here to avoid circular importing problems
-def get_url(relative_url,base_url=node_homepage_url):
-    return os.path.join(base_url,relative_url)
 
+# defined here to avoid circular importing problems
+def get_url(relative_url, base_url=node_homepage_url):
+    return os.path.join(base_url, relative_url)
diff --git a/functions.py b/functions.py
index b5f8ed2..8edbe6a 100644
--- a/functions.py
+++ b/functions.py
@@ -2,7 +2,7 @@
 import bs4
 from time import sleep, time
 import pandas as pd
-from datetime import datetime 
+from datetime import datetime
 import json, requests
 from xml.etree import ElementTree
 import geopandas as gpd
@@ -14,48 +14,53 @@
     READ/ DUMP STUFF
 
 """
+
+
 def read_json(inputpath):
     with open(inputpath) as reader:
         data = reader.read()
 
     return json.loads(data)
-    
-def dump_json(inputdict,outputpath,indent=4):
-    with open(outputpath,'w+',encoding='utf8') as json_handle:
-        json.dump(inputdict,json_handle,indent=indent,ensure_ascii=False)
 
-def file_as_string(inputpath:str):
+
+def dump_json(inputdict, outputpath, indent=4):
+    with open(outputpath, "w+", encoding="utf8") as json_handle:
+        json.dump(inputdict, json_handle, indent=indent, ensure_ascii=False)
+
+
+def file_as_string(inputpath: str):
     if os.path.exists(inputpath):
-        with open(inputpath,encoding='utf8') as reader:
+        with open(inputpath, encoding="utf8") as reader:
             return reader.read()
     else:
-        raise(FileNotFoundError)
-    
-def str_to_file(inputstr:str,outputpath:str,check_path=False):
-    if check_path:
-       if not os.path.exists(outputpath):
-            raise(FileNotFoundError)
+        raise (FileNotFoundError)
+
 
+def str_to_file(inputstr: str, outputpath: str, check_path=False):
+    if check_path:
+        if not os.path.exists(outputpath):
+            raise (FileNotFoundError)
 
-    with open(outputpath,'w+',encoding='utf8') as writer:
+    with open(outputpath, "w+", encoding="utf8") as writer:
         writer.write(inputstr)
         sleep(0.1)
 
+
 class fileAsStrHandler:
 
-    def __init__(self,inputpath:str):
+    def __init__(self, inputpath: str):
         self.path = inputpath
         self.content = file_as_string(self.path)
 
-    def simple_replace(self,original_part,new_part=''):
+    def simple_replace(self, original_part, new_part=""):
         """default is empty for just remove the selected content"""
-        self.content = self.content.replace(original_part,new_part)
+        self.content = self.content.replace(original_part, new_part)
 
     def rewrite(self):
-        str_to_file(self.content,self.path)
-    
-    def write_to_another_path(self,outputpath):
-        str_to_file(self.content,outputpath)
+        str_to_file(self.content, self.path)
+
+    def write_to_another_path(self, outputpath):
+        str_to_file(self.content, outputpath)
 
 
 """
@@ -64,30 +69,30 @@ def write_to_another_path(self,outputpath):
 
 """
 
+
 def formatted_datetime_now():
     now = datetime.now()
     return now.strftime("%d/%m/%Y %H:%M:%S")
 
 
-
-def record_datetime(key,json_path='data/last_updated.json'):
+def record_datetime(key, json_path="data/last_updated.json"):
 
     datadict = read_json(json_path)
 
     datadict[key] = formatted_datetime_now()
 
-    dump_json(datadict,json_path)
+    dump_json(datadict, json_path)
+
+    sleep(0.1)
 
-    sleep(.1)
 
-def record_to_json(key,obj,json_path):
+def record_to_json(key, obj, json_path):
 
     datadict = read_json(json_path)
 
     datadict[key] = obj
 
-    dump_json(datadict,json_path)
-
+    dump_json(datadict, json_path)
 
 
 """
@@ -119,10 +124,12 @@ def record_to_json(key,obj,json_path):
 
 """
 
-def gen_updating_infotable_page(outpath='data/data_updating.html',json_path='data/last_updated.json'):
 
+def gen_updating_infotable_page(
+    outpath="data/data_updating.html", json_path="data/last_updated.json"
+):
 
-    tablepart = ''
+    tablepart = ""
 
     records_dict = read_json(json_path)
 
@@ -131,7 +138,7 @@ def gen_updating_infotable_page(outpath='data/data_updating.html',json_path='dat
         <tr><th><b>{key}</b></th><th>{records_dict[key]}</th></tr>
         """
 
-    page_as_txt = f'''
+    page_as_txt = f"""
     <!DOCTYPE html>
 <html lang="en">
 <head>
@@ -190,17 +197,27 @@ def gen_updating_infotable_page(outpath='data/data_updating.html',json_path='dat
 
 </body>
 </html>    
-    '''
+    """
 
     # with open(outpath,'w+') as writer:
     #     writer.write(page_as_txt)
-    
-    str_to_file(page_as_txt,outpath)
 
+    str_to_file(page_as_txt, outpath)
 
-def gen_quality_report_page_and_files(outpath,tabledata,feat_type,category,quality_category,text,occ_type,csvpath,count_page=False):
 
-    pagename_base = f'{quality_category}_{category}'
+def gen_quality_report_page_and_files(
+    outpath,
+    tabledata,
+    feat_type,
+    category,
+    quality_category,
+    text,
+    occ_type,
+    csvpath,
+    count_page=False,
+):
+
+    pagename_base = f"{quality_category}_{category}"
 
     csv_url = f"""<h2>  
         
@@ -215,7 +232,6 @@ def gen_quality_report_page_and_files(outpath,tabledata,feat_type,category,quali
     <th><b>commentary</b></th>
     </tr>"""
 
-
     if count_page:
         tablepart = f"""<tr>
                     <th><b>OSM ID (link)</b></th>
@@ -225,37 +241,36 @@ def gen_quality_report_page_and_files(outpath,tabledata,feat_type,category,quali
 
     valid_featcount = 0
 
-    with open(csvpath,'w+') as file:
-            writer = csv.writer(file,delimiter=',',quotechar='"')
-            writer.writerow(['osm_id','key','value','commentary'])
+    with open(csvpath, "w+") as file:
+        writer = csv.writer(file, delimiter=",", quotechar='"')
+        writer.writerow(["osm_id", "key", "value", "commentary"])
+
+        for line in tabledata:
+            try:
+                line_as_str = ""
+                if line:
+                    if len(line) > 2:
+                        if not pd.isna(line[2]):
+
+                            writer.writerow(line)
 
-            for line in tabledata:
-                try:
-                    line_as_str = ''
-                    if line:
-                        if len(line)> 2:
-                            if not pd.isna(line[2]): 
+                            line[0] = return_weblink_V2(str(line[0]), feat_type)
 
-                                writer.writerow(line)
+                            line_as_str += "<tr>"
 
-                                line[0] = return_weblink_V2(str(line[0]),feat_type)
-                        
-                                line_as_str += "<tr>"
-                        
-                                for element in line:
-                                    line_as_str += f"<td>{str(element)}</td>"
-                        
-                                line_as_str += "</tr>\n"
+                            for element in line:
+                                line_as_str += f"<td>{str(element)}</td>"
 
-                                tablepart += line_as_str
+                            line_as_str += "</tr>\n"
 
-                                valid_featcount += 1
-                except:
-                    if line:
-                        print('skipped',line)
+                            tablepart += line_as_str
 
+                            valid_featcount += 1
+            except:
+                if line:
+                    print("skipped", line)
 
-    with open(outpath,'w+') as writer:
+    with open(outpath, "w+") as writer:
 
         page = f"""
 
@@ -304,40 +319,45 @@ def gen_quality_report_page_and_files(outpath,tabledata,feat_type,category,quali
     return valid_featcount
 
 
-
 def find_map_ref(input_htmlpath):
     with open(input_htmlpath) as inf:
         txt = inf.read()
-        soup = bs4.BeautifulSoup(txt,features='html5lib')
+        soup = bs4.BeautifulSoup(txt, features="html5lib")
 
-    refs = soup.find_all(attrs={'class':"folium-map"})
+    refs = soup.find_all(attrs={"class": "folium-map"})
 
     for found_ref in refs:
-        return found_ref['id']
-
-
+        return found_ref["id"]
 
 
-def find_html_name(input_htmlpath,specific_ref,tag_ref='img',specific_tag='src',identifier='id'):
+def find_html_name(
+    input_htmlpath, specific_ref, tag_ref="img", specific_tag="src", identifier="id"
+):
 
     with open(input_htmlpath) as inf:
         txt = inf.read()
-        soup = bs4.BeautifulSoup(txt,features='html5lib')
+        soup = bs4.BeautifulSoup(txt, features="html5lib")
 
     refs = soup.find_all(tag_ref)
 
-
     for found_ref in refs:
         # if specific_tag in found_ref:
 
         if found_ref[specific_tag] == specific_ref:
             return found_ref[identifier]
-            
 
-def style_changer(in_out_htmlpath,element_key,key='style',original='bottom',new='top',append_t=None):
+
+def style_changer(
+    in_out_htmlpath,
+    element_key,
+    key="style",
+    original="bottom",
+    new="top",
+    append_t=None,
+):
     with open(in_out_htmlpath) as inf:
         txt = inf.read()
-        soup = bs4.BeautifulSoup(txt,features='html5lib')
+        soup = bs4.BeautifulSoup(txt, features="html5lib")
 
     style_refs = soup.find_all(key)
 
@@ -346,7 +366,7 @@ def style_changer(in_out_htmlpath,element_key,key='style',original='bottom',new=
         if element_key in as_txt:
 
             if new:
-                new_text = as_txt.replace(original,new)
+                new_text = as_txt.replace(original, new)
             else:
                 new_text = as_txt
 
@@ -355,54 +375,53 @@ def style_changer(in_out_htmlpath,element_key,key='style',original='bottom',new=
 
             break
 
-
-    with open(in_out_htmlpath,'w+', encoding='utf-8') as writer:
-        writer.write(str(soup).replace(as_txt,new_text))
+    with open(in_out_htmlpath, "w+", encoding="utf-8") as writer:
+        writer.write(str(soup).replace(as_txt, new_text))
 
     sleep(0.2)
 
-        
-def add_to_page_after_first_tag(html_filepath,element_string,tag_or_txt='<head>',count=1):
-    '''
-    Quick and dirty way to insert some stuff directly on the webpage 
+
+def add_to_page_after_first_tag(
+    html_filepath, element_string, tag_or_txt="<head>", count=1
+):
+    """
+    Quick and dirty way to insert some stuff directly on the webpage
 
     Originally intended only for <head>
 
     beware of tags that repeat! the "count" argument is very important!
-    '''
-
+    """
 
     with open(html_filepath) as reader:
         pag_txt = reader.read()
 
-    replace_text = f'{tag_or_txt} \n{element_string}\n'
+    replace_text = f"{tag_or_txt} \n{element_string}\n"
+
+    with open(html_filepath, "w+") as writer:
+        writer.write(pag_txt.replace(tag_or_txt, replace_text, count))
 
-    
-    with open(html_filepath,'w+') as writer:
-        writer.write(pag_txt.replace(tag_or_txt,replace_text,count))
+    sleep(0.1)
 
-    sleep(.1)
 
-def replace_at_html(html_filepath,original_text,new_text,count=1):
-    '''
-    Quick and dirty way to replace some stuff directly on the webpage 
+def replace_at_html(html_filepath, original_text, new_text, count=1):
+    """
+    Quick and dirty way to replace some stuff directly on the webpage
 
     Originally intended only for <head>
 
     beware of tags that repeat! the "count" argument is very important!
-    '''
+    """
 
     if os.path.exists(html_filepath):
         with open(html_filepath) as reader:
             pag_txt = reader.read()
 
-        
-        with open(html_filepath,'w+') as writer:
-            writer.write(pag_txt.replace(original_text,new_text,count))
+        with open(html_filepath, "w+") as writer:
+            writer.write(pag_txt.replace(original_text, new_text, count))
     else:
-        raise('Error: file not found!!')
+        raise ("Error: file not found!!")
 
-    sleep(.1)
+    sleep(0.1)
 
 
 # def file_to_str(filepath):
@@ -412,13 +431,21 @@ def replace_at_html(html_filepath,original_text,new_text,count=1):
 
 #         return pag_txt
 
-def find_between_strings(string, start, end,return_unique=True,exclusions:list=None,include_linebreaks=False):
+
+def find_between_strings(
+    string,
+    start,
+    end,
+    return_unique=True,
+    exclusions: list = None,
+    include_linebreaks=False,
+):
     pattern = f"{start}(.*){end}"
     # print(pattern)
     if include_linebreaks:
-        matches =  re.findall(pattern, string,re.DOTALL)
+        matches = re.findall(pattern, string, re.DOTALL)
     else:
-        matches =  re.findall(pattern, string)
+        matches = re.findall(pattern, string)
 
     if return_unique:
         matches = list(set(matches))
@@ -430,68 +457,89 @@ def find_between_strings(string, start, end,return_unique=True,exclusions:list=N
 
 
 # (geo)Pandas stuff:
-def get_score_df(inputdict,category='sidewalks',osm_key='surface',input_field='score_default',output_field_base='score'):
+def get_score_df(
+    inputdict,
+    category="sidewalks",
+    osm_key="surface",
+    input_field="score_default",
+    output_field_base="score",
+):
 
-    output_field_name = f'{category}_{osm_key}_{output_field_base}'
-    dict = {osm_key:[],output_field_name:[]}
+    output_field_name = f"{category}_{osm_key}_{output_field_base}"
+    dict = {osm_key: [], output_field_name: []}
 
     for val_key in inputdict[category][osm_key]:
         dict[osm_key].append(val_key)
-        dict[output_field_name].append(inputdict[category][osm_key][val_key][input_field])
+        dict[output_field_name].append(
+            inputdict[category][osm_key][val_key][input_field]
+        )
 
-    return  pd.DataFrame(dict), output_field_name
+    return pd.DataFrame(dict), output_field_name
 
 
-def get_attr_dict(inputdict,category='sidewalks',osm_tag='surface',attr='color'):
+def get_attr_dict(inputdict, category="sidewalks", osm_tag="surface", attr="color"):
     color_dict = {}
     for tag_value in inputdict[category][osm_tag]:
         color_dict[tag_value] = inputdict[category][osm_tag][tag_value][attr]
 
     return color_dict
 
+
 def return_weblink_way(string_id):
     return f"<a href=https://www.openstreetmap.org/way/{string_id}>{string_id}</a>"
 
+
 def return_weblink_node(string_id):
     return f"<a href=https://www.openstreetmap.org/node/{string_id}>{string_id}</a>"
 
-def return_weblink_V2(string_id,featuretype):
+
+def return_weblink_V2(string_id, featuretype):
     return f"<a href=https://www.openstreetmap.org/{featuretype}/{string_id}>{string_id}</a>"
 
+
 def return_weblink_V3(type_id_string):
-    featuretype,string_id = type_id_string.split('_')
+    featuretype, string_id = type_id_string.split("_")
     return f"<a href=https://www.openstreetmap.org/{featuretype}/{string_id}>{string_id}</a>"
 
-'''
+
+"""
 
 HISTORY STUFF
 
-'''
+"""
+
 
-def get_feature_history_url(featureid,type='way'):
-    return f'https://www.openstreetmap.org/api/0.6/{type}/{featureid}/history'
+def get_feature_history_url(featureid, type="way"):
+    return f"https://www.openstreetmap.org/api/0.6/{type}/{featureid}/history"
 
-def parse_datetime_str(inputstr,format='ymdhms'):
+
+def parse_datetime_str(inputstr, format="ymdhms"):
 
     format_dict = {
-        'ymdhms' : '%Y-%m-%dT%H:%M:%S',
+        "ymdhms": "%Y-%m-%dT%H:%M:%S",
     }
 
-    return datetime.strptime(inputstr,format_dict[format])
+    return datetime.strptime(inputstr, format_dict[format])
 
 
-def get_datetime_last_update(featureid,featuretype='way',onlylast=True,return_parsed=True,return_special_tuple=True):
+def get_datetime_last_update(
+    featureid,
+    featuretype="way",
+    onlylast=True,
+    return_parsed=True,
+    return_special_tuple=True,
+):
 
-    h_url = get_feature_history_url(featureid,featuretype)
+    h_url = get_feature_history_url(featureid, featuretype)
 
     try:
         response = requests.get(h_url)
     except:
         if onlylast:
             if return_parsed and return_special_tuple:
-                return [None]*4 #4 Nones
+                return [None] * 4  # 4 Nones
 
-            return ''
+            return ""
         else:
             return []
 
@@ -501,20 +549,19 @@ def get_datetime_last_update(featureid,featuretype='way',onlylast=True,return_pa
         element_list = tree.findall(featuretype)
 
         if element_list:
-            date_rec = [element.attrib['timestamp'][:-1] for element in element_list]
+            date_rec = [element.attrib["timestamp"][:-1] for element in element_list]
 
             if onlylast:
                 if return_parsed:
                     if return_special_tuple:
                         # parsed = datetime.strptime(date_rec[-1],'%Y-%m-%dT%H:%M:%S')
                         parsed = parse_datetime_str(date_rec[-1])
-                        return len(date_rec),parsed.day,parsed.month,parsed.year
+                        return len(date_rec), parsed.day, parsed.month, parsed.year
 
                     else:
                         # return datetime.strptime(date_rec[-1],'%Y-%m-%dT%H:%M:%S')
                         return parse_datetime_str(date_rec[-1])
 
-                
                 else:
                     return date_rec[-1]
 
@@ -525,42 +572,49 @@ def get_datetime_last_update(featureid,featuretype='way',onlylast=True,return_pa
                 else:
                     return date_rec
 
-
         else:
             if onlylast:
-                return ''
+                return ""
             else:
                 return []
-    
+
     else:
-        print('bad request, check feature id/type')
+        print("bad request, check feature id/type")
         if onlylast:
-            return ''
+            return ""
         else:
             return []
 
 
 def get_datetime_last_update_node(featureid):
     # all default options
-    return get_datetime_last_update(featureid,featuretype='node')
+    return get_datetime_last_update(featureid, featuretype="node")
 
 
-def print_relevant_columnamesV2(input_df,not_include=('score','geometry','type','id'),outfilepath=None):
+def print_relevant_columnamesV2(
+    input_df, not_include=("score", "geometry", "type", "id"), outfilepath=None
+):
 
-    as_list = [column for column in input_df.columns if not any(word in column for word in not_include)]
+    as_list = [
+        column
+        for column in input_df.columns
+        if not any(word in column for word in not_include)
+    ]
 
     # print(*as_list)
 
     if outfilepath:
-        with open(outfilepath,'w+') as writer:
-            writer.write(','.join(as_list))
+        with open(outfilepath, "w+") as writer:
+            writer.write(",".join(as_list))
 
     return as_list
 
 
-def check_if_wikipage_exists(name,category="Key:",wiki_page='https://wiki.openstreetmap.org/wiki/'):
+def check_if_wikipage_exists(
+    name, category="Key:", wiki_page="https://wiki.openstreetmap.org/wiki/"
+):
 
-    url = f'{wiki_page}{category}{name}'
+    url = f"{wiki_page}{category}{name}"
 
     while True:
         try:
@@ -571,58 +625,71 @@ def check_if_wikipage_exists(name,category="Key:",wiki_page='https://wiki.openst
 
     return status == 200
 
+
 """
     geopandas
 
 """
 
-def gdf_to_js_file(input_gdf,output_path,output_varname):
+
+def gdf_to_js_file(input_gdf, output_path, output_varname):
     """
-        this function converts a geopandas dataframe to a javascript file, was the only thing that worked for vectorGrid module 
+    this function converts a geopandas dataframe to a javascript file, was the only thing that worked for vectorGrid module
 
-        returns the importing to be included in the html file
+    returns the importing to be included in the html file
     """
 
     input_gdf.to_file(output_path)
 
-    as_str = f"{output_varname} = "+ file_as_string(output_path)
+    as_str = f"{output_varname} = " + file_as_string(output_path)
 
-    str_to_file(as_str,output_path)
+    str_to_file(as_str, output_path)
 
     return f'<script type="text/javascript" src="{output_path}"></script>'
 
-def create_length_field(input_gdf,fieldname='length(km)',in_km=True):
+
+def create_length_field(input_gdf, fieldname="length(km)", in_km=True):
     factor = 1
     if in_km:
         factor = 1000
 
     utm_crs = input_gdf.estimate_utm_crs()
-    input_gdf['length(km)'] = input_gdf.to_crs(utm_crs).length/factor
+    input_gdf["length(km)"] = input_gdf.to_crs(utm_crs).length / factor
+
 
-def create_weblink_field(input_gdf,featuretype='LineString',inputfield='id',fieldname='weblink'):
-    if featuretype == 'LineString':
-        input_gdf[fieldname] = input_gdf[inputfield].astype('string').apply(return_weblink_way)
-    if featuretype == 'Point':
-        input_gdf[fieldname] = input_gdf[inputfield].astype('string').apply(return_weblink_node)
+def create_weblink_field(
+    input_gdf, featuretype="LineString", inputfield="id", fieldname="weblink"
+):
+    if featuretype == "LineString":
+        input_gdf[fieldname] = (
+            input_gdf[inputfield].astype("string").apply(return_weblink_way)
+        )
+    if featuretype == "Point":
+        input_gdf[fieldname] = (
+            input_gdf[inputfield].astype("string").apply(return_weblink_node)
+        )
 
 
 def create_folder_if_not_exists(folderpath):
     if not os.path.exists(folderpath):
         os.makedirs(folderpath)
 
+
 def create_folderlist(folderlist):
     for folder in folderlist:
         create_folder_if_not_exists(folder)
 
+
 def remove_if_exists(pathfile):
     if os.path.exists(pathfile):
         os.remove(pathfile)
 
+
 def listdir_fullpath(path):
     return [os.path.join(path, file) for file in os.listdir(path)]
 
 
-def get_territory_polygon(place_name,outpath=None,outpath_metadata=None):
+def get_territory_polygon(place_name, outpath=None, outpath_metadata=None):
     """
     This function takes a place name as input and retrieves the corresponding territory polygon using the Nominatim API. It can also optionally save the polygon as a GeoJSON file.
 
@@ -641,37 +708,40 @@ def get_territory_polygon(place_name,outpath=None,outpath_metadata=None):
     # Parse the response as a JSON object
     data = response.json()
 
-
     # sort data by "importance", that is a key in each dictionary of the list:
     data.sort(key=lambda x: x["importance"], reverse=True)
 
     # Get the polygon of the territory as a GeoJSON object
-    polygon = data[0]['geojson']
+    polygon = data[0]["geojson"]
 
     if outpath:
         dump_json(polygon, outpath)
 
     if outpath_metadata:
 
-        if 'geojson' in data[0]:
-            del data[0]['geojson']
+        if "geojson" in data[0]:
+            del data[0]["geojson"]
 
         dump_json(data[0], outpath_metadata)
 
     # Return the polygon
     return polygon
 
+
 def geodataframe_from_a_geometry(geometry):
     return gpd.GeoDataFrame(geometry=[geometry])
 
-def bbox_geodataframe(bbox,resort=True):
+
+def bbox_geodataframe(bbox, resort=True):
     if resort:
         bbox = resort_bbox(bbox)
 
     return gpd.GeoDataFrame(geometry=[box(*bbox)])
 
+
 def resort_bbox(bbox):
-    return [bbox[1],bbox[0],bbox[3],bbox[2]]
+    return [bbox[1], bbox[0], bbox[3], bbox[2]]
+
 
 def merge_list_of_dictionaries(list_of_dicts):
     merged_dict = {}
@@ -686,29 +756,34 @@ def merge_list_of_dictionaries(list_of_dicts):
                 else:
                     merged_dict[key].append(value)
             else:
-                merged_dict[key] = value if not isinstance(value, list) else value.copy()
+                merged_dict[key] = (
+                    value if not isinstance(value, list) else value.copy()
+                )
 
     return merged_dict
 
+
 def join_to_node_homepage(input_list_or_str):
-    if isinstance(input_list_or_str,list):
-        return os.path.join(node_homepage_url,*input_list_or_str)
+    if isinstance(input_list_or_str, list):
+        return os.path.join(node_homepage_url, *input_list_or_str)
     else:
-        return os.path.join(node_homepage_url,input_list_or_str)
+        return os.path.join(node_homepage_url, input_list_or_str)
+
 
 def save_geoparquet(input_gdf, outpath):
     """
-    Saves a GeoDataFrame to a Parquet file. 
+    Saves a GeoDataFrame to a Parquet file.
     If the GeoDataFrame is empty, creates an empty Parquet file.
 
     Workaround for: https://github.com/geopandas/geopandas/issues/3137
     """
     if input_gdf.empty:
-        gpd.GeoDataFrame(columns=['geometry']).to_parquet(outpath)
+        gpd.GeoDataFrame(columns=["geometry"]).to_parquet(outpath)
     else:
         input_gdf.to_parquet(outpath)
 
-def row_query(df, querydict, mode='any',reverse=False):
+
+def row_query(df, querydict, mode="any", reverse=False):
     """
     Apply a query to each row in a DataFrame and return a boolean result.
 
@@ -729,37 +804,60 @@ def row_query(df, querydict, mode='any',reverse=False):
         2    False
         dtype: bool
     """
-    if mode == 'any':
-        selection =  df.isin(querydict).any(axis=1)
-    elif mode == 'all':
-        selection =  df.isin(querydict).all(axis=1)
-    
+    if mode == "any":
+        selection = df.isin(querydict).any(axis=1)
+    elif mode == "all":
+        selection = df.isin(querydict).all(axis=1)
+
     if reverse:
         return ~selection
     else:
         return selection
-    
+
+
 def get_gdfs_dict(raw_data=False):
     # used dict: paths_dict
-    category_group = 'data_raw' if raw_data else 'data'
+    category_group = "data_raw" if raw_data else "data"
+
+    return {
+        category: gpd.read_parquet(paths_dict[category_group][category])
+        for category in paths_dict[category_group]
+    }
 
-    return {category: gpd.read_parquet(paths_dict[category_group][category]) for category in paths_dict[category_group]}
 
-def get_gdfs_dict_v2(category='data'):
+def get_gdfs_dict_v2(category="data"):
     """
     available categories: 'data', 'data_raw','other_footways_subcategories', 'map_layers'
     """
 
-    return {category: gpd.read_parquet(paths_dict[category][category]) for category in paths_dict[category]}
+    return {
+        category: gpd.read_parquet(paths_dict[category][category])
+        for category in paths_dict[category]
+    }
+
 
-def remove_empty_columns(gdf,report=False):
+def remove_empty_columns(gdf, report=False):
     if report:
         prev = len(gdf.columns)
 
-    gdf.dropna(axis='columns',how='all',inplace=True)
+    gdf.dropna(axis="columns", how="all", inplace=True)
 
     if report:
-        print(f'    removed {prev-len(gdf.columns)} empty columns')
-        
+        print(f"    removed {prev-len(gdf.columns)} empty columns")
+
+
 def get_boundaries_bbox():
-    return list(gpd.read_file(boundaries_geojson_path).total_bounds)
\ No newline at end of file
+    return list(gpd.read_file(boundaries_geojson_path).total_bounds)
+
+
+def rename_dict_key(
+    dictionary, old_key, new_key, ignore_missing=True, ignore_existing=True
+):
+    if old_key in dictionary and not ignore_missing:
+        raise KeyError(f"Key {old_key} not found in dictionary")
+
+    if new_key in dictionary and not ignore_existing:
+        raise KeyError(f"Key {new_key} already exists in dictionary")
+
+    if old_key in dictionary:
+        dictionary[new_key] = dictionary.pop(old_key)
diff --git a/webmap/create_webmap_new.py b/webmap/create_webmap_new.py
index 0a02ffe..e87b39c 100644
--- a/webmap/create_webmap_new.py
+++ b/webmap/create_webmap_new.py
@@ -3,7 +3,7 @@
 
 # create a --development flag:
 parser = argparse.ArgumentParser()
-parser.add_argument('--development', action='store_true')
+parser.add_argument("--development", action="store_true")
 args = parser.parse_args()
 
 in_dev = args.development
@@ -12,16 +12,16 @@
 params = read_json(webmap_params_original_path)
 
 # then override and fill in with the stuff:
-params['data_layers'] = MAP_DATA_LAYERS
+params["data_layers"] = MAP_DATA_LAYERS
 
 # the layers that by type:
-params['layer_types'] = layer_type_groups
+params["layer_types"] = layer_type_groups
 
 # boundaries:
-params['bounds'] = get_boundaries_bbox()
+params["bounds"] = get_boundaries_bbox()
 
 # updating the node's url:
-params['node_url'] = node_homepage_url
+params["node_url"] = node_homepage_url
 
 # # generating the "sources" and layernames:
 params.update(get_sources(only_urls=True))
@@ -30,36 +30,40 @@
 # very temporary:
 # params['sources'] = MAP_SOURCES
 
-params['styles'] = {
-    "footway_categories" : create_base_style(),
-    'crossings_and_kerbs' : create_crossings_kerbs_style()
+params["styles"] = {
+    "footway_categories": create_base_style(),
+    "crossings_and_kerbs": create_crossings_kerbs_style(),
 }
 
 interest_attributes = {
     # key is raw attribute name, value is label (human readable)
-    "surface" : "Surface",
-    "smoothness" : "Smoothness",
-    "tactile_paving" : "Tactile Paving",
-    'lit' : "Lighting",
-    'traffic_calming' : "Traffic Calming",
-    "wheelchair" : 'wheelchair=* tag',
+    "surface": "Surface",
+    "smoothness": "Smoothness",
+    "tactile_paving": "Tactile Paving",
+    "lit": "Lighting",
+    "traffic_calming": "Traffic Calming",
+    "wheelchair": "wheelchair=* tag",
 }
 
 attribute_layers = {
     # default is "sidewalks", only specified if different:
-    'traffic_calming' : 'crossings',
+    "traffic_calming": "crossings",
 }
 
 different_else_color = {
     # default is "gray", specifyed ony if different:
-    'traffic_calming' : '#63636366',
+    "traffic_calming": "#63636366",
 }
 
 for attribute in interest_attributes:
-    color_dict = get_color_dict(attribute,attribute_layers.get(attribute,'sidewalks'))
-    color_schema = create_maplibre_color_schema(color_dict,attribute,different_else_color.get(attribute,'gray'))
-    
-    params['styles'][attribute] = create_simple_map_style(interest_attributes[attribute],color_schema,color_dict,attribute)
+    color_dict = get_color_dict(attribute, attribute_layers.get(attribute, "sidewalks"))
+    color_schema = create_maplibre_color_schema(
+        color_dict, attribute, different_else_color.get(attribute, "gray")
+    )
+
+    params["styles"][attribute] = create_simple_map_style(
+        interest_attributes[attribute], color_schema, color_dict, attribute
+    )
 
 # reading the base html
 webmap_html = file_as_string(webmap_base_path)
@@ -67,9 +71,9 @@
 # doing other stuff like insertions and nasty things (TODO):
 
 # finally generate the files:
-str_to_file(webmap_html,webmap_path)
-dump_json(params,webmap_params_path)
+str_to_file(webmap_html, webmap_path)
+dump_json(params, webmap_params_path)
 
 # if we are in dev mode, also dump the original params:
 if in_dev:
-    dump_json(params,webmap_params_original_path)
\ No newline at end of file
+    dump_json(params, webmap_params_original_path)
diff --git a/webmap/standalone_legend.py b/webmap/standalone_legend.py
index 7c46d51..d57520b 100644
--- a/webmap/standalone_legend.py
+++ b/webmap/standalone_legend.py
@@ -3,6 +3,9 @@
 from matplotlib.lines import Line2D
 from matplotlib.patches import Patch
 
+from functions import *
+
+
 # thx ChatGPT, employed to transform a scratch code into the class
 class StandaloneLegend:
     def __init__(self):
@@ -11,7 +14,7 @@ def __init__(self):
         self.legend_labels = []
         self.legendFig = plt.figure("Legend plot")
 
-    def add_line(self, label='Line', **kwargs):
+    def add_line(self, label="Line", **kwargs):
         """
         Add a line to the legend with customizable parameters.
 
@@ -19,11 +22,14 @@ def add_line(self, label='Line', **kwargs):
         label (str): The label for the line element.
         **kwargs: Additional keyword arguments for Line2D.
         """
+
+        rename_dict_key(kwargs, "width", "linewidth")
+
         line = Line2D([0], [0], label=label, **kwargs)
         self.legend_elements.append(line)
         self.legend_labels.append(label)
 
-    def add_marker(self, marker='o', label='Marker', **kwargs):
+    def add_marker(self, marker="o", label="Marker", **kwargs):
         """
         Add a marker to the legend with customizable parameters.
 
@@ -32,13 +38,19 @@ def add_marker(self, marker='o', label='Marker', **kwargs):
         label (str): The label for the marker element.
         **kwargs: Additional keyword arguments for Line2D.
         """
+
+        # to standardize the key names
+        rename_dict_key(kwargs, "color", "markerfacecolor")
+        rename_dict_key(kwargs, "width", "markersize")
+
         # Add default transparent color to kwargs if not provided
-        kwargs.setdefault('color', (0.0, 0.0, 0.0, 0.0))
+        kwargs.setdefault("color", (0.0, 0.0, 0.0, 0.0))
+        kwargs.setdefault("markeredgecolor", (0.0, 0.0, 0.0, 0.0))
         marker = Line2D([0], [0], marker=marker, label=label, **kwargs)
         self.legend_elements.append(marker)
         self.legend_labels.append(label)
 
-    def add_patch(self, facecolor='orange', edgecolor='w', label='Patch', **kwargs):
+    def add_patch(self, facecolor="orange", edgecolor="w", label="Patch", **kwargs):
         """
         Add a patch to the legend with customizable parameters.
 
@@ -48,6 +60,12 @@ def add_patch(self, facecolor='orange', edgecolor='w', label='Patch', **kwargs):
         label (str): The label for the patch element.
         **kwargs: Additional keyword arguments for Patch.
         """
+
+        # rename_dict_key(kwargs, "facecolor", "markerfacecolor")
+
+        if "width" in kwargs:
+            kwargs.pop("width")
+
         patch = Patch(facecolor=facecolor, edgecolor=edgecolor, label=label, **kwargs)
         self.legend_elements.append(patch)
         self.legend_labels.append(label)
@@ -61,15 +79,17 @@ def add_element(self, element_type, label, **kwargs):
         label (str): The label for the element.
         **kwargs: Additional keyword arguments for the element.
         """
-        if element_type == 'line':
+        if element_type == "line":
             self.add_line(label=label, **kwargs)
-        elif element_type == 'marker' or element_type == 'circle':
+        elif element_type == "marker" or element_type == "circle":
             self.add_marker(label=label, **kwargs)
-        elif element_type == 'patch' or element_type == 'fill':
+        elif element_type == "patch" or element_type == "fill":
             self.add_patch(label=label, **kwargs)
         else:
-            raise ValueError(f"Unknown element type: {element_type}. Supported types are 'line', 'marker'/'circle', and 'patch'/'fill'.")
-        
+            raise ValueError(
+                f"Unknown element type: {element_type}. Supported types are 'line', 'marker'/'circle', and 'patch'/'fill'."
+            )
+
     def add_elements(self, elements):
         """
         Add multiple custom elements to the legend.
@@ -84,12 +104,15 @@ def __hash__(self) -> int:
         # enable hashing of the object, example: legend = StandaloneLegend(); hash(legend)
         return hash((self.legend_elements, self.legend_labels))
 
-    def export(self, filename='legend.png'):
+    def export(self, filename="legend.png"):
         # Export the legend to an image file
-        self.legendFig.legend(handles=self.legend_elements, labels=self.legend_labels, loc='center')
-        self.legendFig.savefig(filename, bbox_inches='tight', transparent=True)
+        self.legendFig.legend(
+            handles=self.legend_elements, labels=self.legend_labels, loc="center"
+        )
+        self.legendFig.savefig(filename, bbox_inches="tight", transparent=True)
         plt.close(self.legendFig)  # Close the figure to free memory
 
+
 # # Example usage:
 # legend = StandaloneLegend()
 # legend.add_line(color='b', linewidth=4, label='Line')
diff --git a/webmap/webmap_lib.py b/webmap/webmap_lib.py
index b95514b..4cdef60 100644
--- a/webmap/webmap_lib.py
+++ b/webmap/webmap_lib.py
@@ -1,87 +1,82 @@
 import sys
-sys.path.append('oswm_codebase')
-from functions import *
-from copy import deepcopy
 
+sys.path.append("oswm_codebase")
+from copy import deepcopy
 from standalone_legend import *
 
-MAP_DATA_LAYERS = [l for l in paths_dict['map_layers']]
+
+MAP_DATA_LAYERS = [l for l in paths_dict["map_layers"]]
 
 # webmap stuff:
-BASEMAP_URL = 'https://a.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}.png'
-webmap_params_original_path = 'oswm_codebase/webmap/webmap_params.json'
-webmap_params_path = 'webmap_params.json'
-webmap_base_path = 'oswm_codebase/webmap/webmap_base.html'
-webmap_path = 'map.html'
+BASEMAP_URL = "https://a.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}.png"
+webmap_params_original_path = "oswm_codebase/webmap/webmap_params.json"
+webmap_params_path = "webmap_params.json"
+webmap_base_path = "oswm_codebase/webmap/webmap_base.html"
+webmap_path = "map.html"
 
-assets_path = 'oswm_codebase/assets/'
-map_symbols_assets_path = os.path.join(assets_path, 'map_symbols')
+assets_path = "oswm_codebase/assets/"
+map_symbols_assets_path = os.path.join(assets_path, "map_symbols")
 
 # mapping geometry types to maplibre style
 map_geom_type_mapping = {
-    'Polygon':'fill',
-    'LineString':'line',
-    'Point':'circle',
-    'MultiPolygon':'fill',
-    'MultiLineString':'line',
-    'MultiPoint':'circle'
-    }
+    "Polygon": "fill",
+    "LineString": "line",
+    "Point": "circle",
+    "MultiPolygon": "fill",
+    "MultiLineString": "line",
+    "MultiPoint": "circle",
+}
 
 # types for each layer:
-layertypes_dict = { k: map_geom_type_mapping[v] for k,v in all_layers_geom_types.items() }
+layertypes_dict = {
+    k: map_geom_type_mapping[v] for k, v in all_layers_geom_types.items()
+}
 
 
 # the layers by type:
-line_layers = [l for l in MAP_DATA_LAYERS if layertypes_dict[l] == 'line']
-fill_layers = [l for l in MAP_DATA_LAYERS if layertypes_dict[l] == 'fill']
-circle_layers = [l for l in MAP_DATA_LAYERS if layertypes_dict[l] == 'circle']
+line_layers = [l for l in MAP_DATA_LAYERS if layertypes_dict[l] == "line"]
+fill_layers = [l for l in MAP_DATA_LAYERS if layertypes_dict[l] == "fill"]
+circle_layers = [l for l in MAP_DATA_LAYERS if layertypes_dict[l] == "circle"]
 
 layer_type_groups = {
     # the order in this dict determines the order in the webmap:
-    'fill':fill_layers,
-    'line':line_layers,
-    'circle':circle_layers
+    "fill": fill_layers,
+    "line": line_layers,
+    "circle": circle_layers,
 }
 
 
 # immutable layers, among different styles:
-immutable_layers=  [{
-            "id": "osm-baselayer",
-            "source": "osm",
-            "type": "raster",
-            "paint": {
-                "raster-opacity": .9
-            }
-        },
-        {
-            "id": "boundaries",
-            "type": "line",
-            "source": "boundaries",
-            "paint": {
-                "line-color": "white",
-                "line-opacity": 0.4
-            }
-        }]
+immutable_layers = [
+    {
+        "id": "osm-baselayer",
+        "source": "osm",
+        "type": "raster",
+        "paint": {"raster-opacity": 0.9},
+    },
+    {
+        "id": "boundaries",
+        "type": "line",
+        "source": "boundaries",
+        "paint": {"line-color": "white", "line-opacity": 0.4},
+    },
+]
 
 # base dict for a map style:
-mapstyle_basedict = {
-    "version": 8,
-    "sources": {},
-    "layers": []
-}
+mapstyle_basedict = {"version": 8, "sources": {}, "layers": []}
 
 # base_dicts for each layer type:
-            # "id": "pedestrian_areas",
-            # "source": "oswm_pmtiles_pedestrian_areas",
-            # "source-layer": "pedestrian_areas",
-            # "type": "fill",
-            # "paint": {
-            #     "fill-color": "gray",
-            #     "fill-opacity": 0.5
-            # }
+# "id": "pedestrian_areas",
+# "source": "oswm_pmtiles_pedestrian_areas",
+# "source-layer": "pedestrian_areas",
+# "type": "fill",
+# "paint": {
+#     "fill-color": "gray",
+#     "fill-opacity": 0.5
+# }
 
 layertypes_basedict = {
-    'line':{
+    "line": {
         "id": "",
         "source": "",
         "source-layer": "",
@@ -89,15 +84,14 @@
         "paint": {
             "line-color": "steelblue",
             "line-width": [
-                    'case',
-                    ['boolean', ['feature-state', 'hover'], False],
-                    6,
-                    3
-                ]
-            
-        }
+                "case",
+                ["boolean", ["feature-state", "hover"], False],
+                6,
+                3,
+            ],
+        },
     },
-    'fill':{
+    "fill": {
         "id": "",
         "source": "",
         "source-layer": "",
@@ -105,14 +99,14 @@
         "paint": {
             "fill-color": "steelblue",
             "fill-opacity": [
-                    'case',
-                    ['boolean', ['feature-state', 'hover'], False],
-                    0.8,
-                    0.5
-                ]
-        }
+                "case",
+                ["boolean", ["feature-state", "hover"], False],
+                0.8,
+                0.5,
+            ],
+        },
     },
-    'circle':{
+    "circle": {
         "id": "",
         "source": "",
         "source-layer": "",
@@ -122,257 +116,294 @@
             "circle-color": "steelblue",
             "circle-opacity": 0.8,
             "circle-radius": [
-                    'case',
-                    ['boolean', ['feature-state', 'hover'], False],
-                    7,
-                    4
-                ]
-        }
-    }
+                "case",
+                ["boolean", ["feature-state", "hover"], False],
+                7,
+                4,
+            ],
+        },
+    },
 }
 
-color_attribute = {
-    'fill':'fill-color',
-    'line':'line-color',
-    'circle':'circle-color'
-}
+color_attribute = {"fill": "fill-color", "line": "line-color", "circle": "circle-color"}
+
 
-def get_sources(terrain_url=None,only_urls=False):
+def get_sources(terrain_url=None, only_urls=False):
     ret = {}
-    ret['sources'] = {}
-    
-    for layername in paths_dict['map_layers']:
-        ret[f'{layername}_url'] = f'{node_homepage_url}data/tiles/{layername}.pmtiles'
-        
-        ret['sources'][f'oswm_pmtiles_{layername}'] = {
+    ret["sources"] = {}
+
+    for layername in paths_dict["map_layers"]:
+        ret[f"{layername}_url"] = f"{node_homepage_url}data/tiles/{layername}.pmtiles"
+
+        ret["sources"][f"oswm_pmtiles_{layername}"] = {
             "type": "vector",
             "url": f"pmtiles://{ret[f'{layername}_url']}",
-            "promoteId":"id",
-            "attribution": r'© <a href="https://openstreetmap.org">OpenStreetMap Contributors</a>'}
-        
-    ret['boundaries_url'] = f'{node_homepage_url}data/boundaries.geojson'
+            "promoteId": "id",
+            "attribution": r'© <a href="https://openstreetmap.org">OpenStreetMap Contributors</a>',
+        }
 
+    ret["boundaries_url"] = f"{node_homepage_url}data/boundaries.geojson"
 
     # basemap:
-    ret['sources']['osm'] = {
+    ret["sources"]["osm"] = {
         "type": "raster",
         "tiles": [BASEMAP_URL],
-        "attribution": r'© <a href="https://openstreetmap.org">OpenStreetMap Contributors</a>; basemap by <a href="https://carto.com/attribution">CARTO</a>'
+        "attribution": r'© <a href="https://openstreetmap.org">OpenStreetMap Contributors</a>; basemap by <a href="https://carto.com/attribution">CARTO</a>',
     }
 
     # boundaries:
-    ret['sources']['boundaries'] = {
+    ret["sources"]["boundaries"] = {
         "type": "geojson",
-        "data": ret['boundaries_url'],
-        "attribution": r'© <a href="https://openstreetmap.org">OpenStreetMap Contributors</a>'
+        "data": ret["boundaries_url"],
+        "attribution": r'© <a href="https://openstreetmap.org">OpenStreetMap Contributors</a>',
     }
-    
+
     if terrain_url:
         # # # terrain:
-        ret['sources']['terrain'] = {
+        ret["sources"]["terrain"] = {
             "type": "raster-dem",
             "url": terrain_url,
-            "tileSize": 256
+            "tileSize": 256,
         }
-    
+
     if only_urls:
-        del ret['sources']
+        del ret["sources"]
         return ret
     else:
         return ret
-    
-MAP_SOURCES = get_sources()['sources']
-    
+
+
+MAP_SOURCES = get_sources()["sources"]
+
+
 def sort_keys_by_order(input_dict, order_list):
     ordered_keys = []
     remaining_keys = list(input_dict.keys())
-    
+
     for order in order_list:
         for key in list(remaining_keys):
             if input_dict[key] == order:
                 ordered_keys.append(key)
                 remaining_keys.remove(key)
-                
+
     ordered_keys.extend(remaining_keys)
-    
+
     return ordered_keys
 
+
 ordered_map_layers = sort_keys_by_order(layertypes_dict, layer_type_groups.keys())
 
 
-def create_base_style(sources=MAP_SOURCES,name='Footway Categories'):
+def create_base_style(sources=MAP_SOURCES, name="Footway Categories"):
+
+    default_color = "steelblue"
 
     custom_layer_colors = {
-    'stairways':'#8a7e2f',
-    'main_footways':'#299077',
-    'informal_footways':'#b0645a',
-    'potential_footways':'#9569a4',
+        "stairways": "#8a7e2f",
+        "main_footways": "#299077",
+        "informal_footways": "#b0645a",
+        "potential_footways": "#9569a4",
     }
 
     custom_layer_dash_patterns = {
-        "crossings": [1,0.5],
+        "crossings": [1, 0.5],
     }
-    
+
+    custom_legend_widths = {"kerbs": 8}
+
     style_dict = deepcopy(mapstyle_basedict)
-    
-    style_dict['sources'] = sources
-    
-    style_dict['name'] = name
-    
-    style_dict['layers'].extend(deepcopy(immutable_layers))
-    
+
+    style_dict["sources"] = sources
+
+    style_dict["name"] = name
+
+    style_dict["layers"].extend(deepcopy(immutable_layers))
+
+    # declaring the legend:
+    style_legend = StandaloneLegend()
+
     for layername in ordered_map_layers:
         layer_type = layertypes_dict[layername]
-        
+
         layer_dict = deepcopy(layertypes_basedict[layer_type])
-        
+
         # now we can set the id and source:
-        layer_dict['id'] = layername
-        layer_dict['source'] = f'oswm_pmtiles_{layername}'
-        layer_dict['source-layer'] = layername
+        layer_dict["id"] = layername
+        layer_dict["source"] = f"oswm_pmtiles_{layername}"
+        layer_dict["source-layer"] = layername
 
         if layername in custom_layer_colors:
-            layer_dict['paint']['line-color'] = custom_layer_colors[layername]
-        
+            layer_dict["paint"]["line-color"] = custom_layer_colors[layername]
+
         if layername in custom_layer_dash_patterns:
-            layer_dict['paint']['line-dasharray'] = custom_layer_dash_patterns[layername]
+            layer_dict["paint"]["line-dasharray"] = custom_layer_dash_patterns[
+                layername
+            ]
 
         # now the custom colors
-        
-        style_dict['layers'].append(layer_dict)
-        
+        style_dict["layers"].append(layer_dict)
+
+        # adding to the legend:
+        style_legend.add_element(
+            layer_type,
+            layername,
+            **{
+                "color": custom_layer_colors.get(layername, default_color),
+                "width": custom_legend_widths.get(layername, 4),
+            },
+        )
+
+    style_legend.export(
+        os.path.join(map_symbols_assets_path, "footway_categories" + ".png")
+    )
+
     return style_dict
 
-def create_simple_map_style(name,color_schema,color_dict,filename,sources=MAP_SOURCES,generate_shadow_layers=False):
+
+def create_simple_map_style(
+    name,
+    color_schema,
+    color_dict,
+    filename,
+    sources=MAP_SOURCES,
+    generate_shadow_layers=False,
+):
 
     style_dict = deepcopy(mapstyle_basedict)
-    
-    style_dict['sources'] = sources
-    
-    style_dict['name'] = name
-    
-    style_dict['layers'].extend(deepcopy(immutable_layers))
-    
+
+    style_dict["sources"] = sources
+
+    style_dict["name"] = name
+
+    style_dict["layers"].extend(deepcopy(immutable_layers))
+
     # creating "shadow layers" for line layers only:
     if generate_shadow_layers:
         for layername in ordered_map_layers:
-            if layertypes_dict[layername] == 'line':
-                layer_dict = deepcopy(layertypes_basedict['line'])
-                layer_dict['id'] = f'{layername}_shadow'
-                layer_dict['source'] = f'oswm_pmtiles_{layername}'
-                layer_dict['source-layer'] = layername
-                layer_dict['paint']['line-color'] = 'black'
-                layer_dict['paint']['line-width'] = 4
-                
-                style_dict['layers'].append(layer_dict)
-    
+            if layertypes_dict[layername] == "line":
+                layer_dict = deepcopy(layertypes_basedict["line"])
+                layer_dict["id"] = f"{layername}_shadow"
+                layer_dict["source"] = f"oswm_pmtiles_{layername}"
+                layer_dict["source-layer"] = layername
+                layer_dict["paint"]["line-color"] = "black"
+                layer_dict["paint"]["line-width"] = 4
+
+                style_dict["layers"].append(layer_dict)
+
     for layername in ordered_map_layers:
         layer_type = layertypes_dict[layername]
-        
+
         layer_dict = deepcopy(layertypes_basedict[layer_type])
-        
+
         # now we can set the id and source:
-        layer_dict['id'] = layername
-        layer_dict['source'] = f'oswm_pmtiles_{layername}'
-        layer_dict['source-layer'] = layername
-        
+        layer_dict["id"] = layername
+        layer_dict["source"] = f"oswm_pmtiles_{layername}"
+        layer_dict["source-layer"] = layername
+
         # layer_type = layertypes_dict[layername]
-        
-        layer_dict['paint'][color_attribute[layer_type]] = color_schema
-        
-                
-        style_dict['layers'].append(layer_dict)
+
+        layer_dict["paint"][color_attribute[layer_type]] = color_schema
+
+        style_dict["layers"].append(layer_dict)
 
     # now generating the map symbols
     # TODO: check the hashing, otherwise no need to re-run
     style_legend = StandaloneLegend()
 
+    custom_line_args = {
+        "linewidth": 4,
+    }
+
     for key in color_dict:
-        style_legend.add_line(label=key, color=color_dict[key])
+        style_legend.add_line(label=key, color=color_dict[key], **custom_line_args)
 
-    style_legend.add_line(label='other', color=color_schema[-1])
+    style_legend.add_line(label="other", color=color_schema[-1], **custom_line_args)
+
+    style_legend.export(os.path.join(map_symbols_assets_path, f"{filename}.png"))
 
-    style_legend.export(os.path.join(map_symbols_assets_path,f'{filename}.png'))
-    
     return style_dict
 
-def get_color_dict(columnname,layer='sidewalks',attribute='color'):
+
+def get_color_dict(columnname, layer="sidewalks", attribute="color"):
     """
     Given a columnname, layername and attribute, returns a dictionary mapping each value in the column to its corresponding attribute value.
-    
+
     :param columnname: column name
     :param layer: layer name (default to 'sidewalks')
     :param attribute: attribute name (default to 'color')
-    
+
     :return: a dictionary mapping each value in the column to its corresponding attribute value
     """
     colordict = {}
-    
+
     base_dict = fields_values_properties[layer][columnname]
-    
+
     for key in base_dict:
         colordict[key] = base_dict[key][attribute]
-        
+
     return colordict
 
-def create_maplibre_color_schema(attribute_dict,attribute_name, else_color="gray"):
+
+def create_maplibre_color_schema(attribute_dict, attribute_name, else_color="gray"):
     schema = ["case"]
     for key, value in attribute_dict.items():
-        schema.extend([
-            ["==", ["get", attribute_name], key],
-            value
-        ])
+        schema.extend([["==", ["get", attribute_name], key], value])
     schema.append(else_color)
     return schema
 
-def create_crossings_kerbs_style(sources=MAP_SOURCES,name='Crossings and Kerbs',else_color='#63636380'):
+
+def create_crossings_kerbs_style(
+    sources=MAP_SOURCES, name="Crossings and Kerbs", else_color="#63636380"
+):
 
     style_dict = deepcopy(mapstyle_basedict)
-    
-    style_dict['sources'] = sources
-    
-    style_dict['name'] = name
-    
-    style_dict['layers'].extend(deepcopy(immutable_layers))
+
+    style_dict["sources"] = sources
+
+    style_dict["name"] = name
+
+    style_dict["layers"].extend(deepcopy(immutable_layers))
 
     interest_layers = {
         # layername : tag key
-        'crossings' : 'crossing',
-        'kerbs' : 'kerb',
+        "crossings": "crossing",
+        "kerbs": "kerb",
     }
 
     for layername in ordered_map_layers:
         layer_type = layertypes_dict[layername]
-        
+
         layer_dict = deepcopy(layertypes_basedict[layer_type])
 
         if layername in interest_layers:
             # layer_dict.update(custom_crossing_kerbs_dict[layername])
-            color_dict = get_color_dict(interest_layers[layername],layername)
-            color_schema = create_maplibre_color_schema(color_dict,interest_layers[layername],'gray')
-            layer_dict['paint'][color_attribute[layer_type]] = color_schema
+            color_dict = get_color_dict(interest_layers[layername], layername)
+            color_schema = create_maplibre_color_schema(
+                color_dict, interest_layers[layername], "gray"
+            )
+            layer_dict["paint"][color_attribute[layer_type]] = color_schema
 
             # making kerbs a little bigger
-            if layername == 'kerbs':
-                layer_dict['paint']['circle-radius'] = [
-                    'case',
-                    ['boolean', ['feature-state', 'hover'], False],
+            if layername == "kerbs":
+                layer_dict["paint"]["circle-radius"] = [
+                    "case",
+                    ["boolean", ["feature-state", "hover"], False],
                     8,
-                    5
+                    5,
                 ]
         else:
             # all other layers will be a very faded gray:
-            layer_dict['paint'][color_attribute[layer_type]] = else_color
+            layer_dict["paint"][color_attribute[layer_type]] = else_color
 
         # now we can set the id and source:
-        layer_dict['id'] = layername
-        layer_dict['source'] = f'oswm_pmtiles_{layername}'
-        layer_dict['source-layer'] = layername
-
-        style_dict['layers'].append(layer_dict)
+        layer_dict["id"] = layername
+        layer_dict["source"] = f"oswm_pmtiles_{layername}"
+        layer_dict["source-layer"] = layername
 
+        style_dict["layers"].append(layer_dict)
 
     return style_dict
 
+
 # call just once:
 create_folderlist([map_symbols_assets_path])