Add comments to example profiles

profiles/minkult.py

@@ -4,6 +4,7 @@ import requests
 import codecs
 
 
+# Reading the dataset passport to determine an URL of the latest dataset version
 def download_url(dataset_id='7705851331-museums'):
     r = requests.get('http://opendata.mkrf.ru/opendata/{}/meta.json'.format(dataset_id))
     if r.status_code != 200 or len(r.content) == 0:
@@ -24,6 +25,7 @@ master_tags = ('official_name', 'phone', 'opening_hours', 'website')
 
 def dataset(fileobj):
     def make_wd_ranges(r):
+        """Converts e.g. [0,1,4] into 'Mo-Tu, Fr'."""
         wd = ['Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa', 'Su']
         res = wd[r[0]]
         in_range = False
@@ -39,6 +41,8 @@ def dataset(fileobj):
         return res
 
     def parse_hours(h):
+        """Receives a dict {'0': {'from': '10:00:00', 'to': '18:00:00'}, ...}
+        and returns a proper opening_hours value."""
         days = {}
         for wd, d in h.items():
             if not d['from']:

profiles/navads_shell.py

@@ -1,7 +1,14 @@
+# This profile reads a prepared JSON, thus no "dataset" function
+
+# Value for the changeset "source" tag
 source = 'Navads'
+# Keeping identifiers in a "ref:navads_shell" tag
 dataset_id = 'navads_shell'
+# Overpass API query is a simple [amenity="fuel"]
 query = [('amenity', 'fuel')]
+# These tag values override values on OSM objects
 master_tags = ('brand', 'addr:postcode', 'phone', 'opening_hours')
+# Looking at most 50 meters around a dataset point
 max_distance = 50
 
 
@@ -16,10 +23,15 @@ def format_phone(ph):
     return ph
 
 
+# Tag transformation
 transform = {
+    # Just add this tag
     'amenity': 'fuel',
+    # Rename key
     'postal_code': '>addr:postcode',
+    # Use a function to transform a value
     'phone': format_phone,
+    # Remove this tag
     'name': '-'
 }
 

profiles/velobike.py

@@ -2,23 +2,34 @@ import codecs
 import json
 import logging
 
+# Where to get the latest feed
 download_url = 'http://www.velobike.ru/proxy/parkings/'
+# What to write for the changeset's source tag
 source = 'velobike.ru'
+# These two lines negate each other:
 dataset_id = 'velobike'
+# We actually do not use ref:velobike tag
 no_dataset_id = True
+# Overpass API query: [amenity="bicycle_rental"][network="Велобайк"]
 query = [('amenity', 'bicycle_rental'), ('network', 'Велобайк')]
+# Maximum lookup radius is 100 meters
 max_distance = 100
+# The overpass query chooses all relevant points,
+# so points that are not in the dataset should be deleted
 delete_unmatched = True
+# If delete_unmatched were False, we'd be retagging these parkings:
 tag_unmatched = {
     'fixme': 'Проверить на местности: в данных велобайка отсутствует. Вероятно, демонтирована',
     'amenity': None,
     'was:amenity': 'bicycle_rental'
 }
+# Overwriting these tags
 master_tags = ('ref', 'capacity', 'capacity:electric', 'contact:email',
                'contact:phone', 'contact:website', 'operator')
 
 
 def dataset(fileobj):
+    # Specifying utf-8 is important, otherwise you'd get "bytes" instead of "str"
     source = json.load(codecs.getreader('utf-8')(fileobj))
     data = []
     for el in source['Items']: