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restaurant2osm.py
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restaurant2osm.py
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#!/usr/bin/env python2
# -*- coding: utf8
"""
restaurant2osm
Extracts restaurants from Mattilsynet inspections and produces OSM file for import/update
Usage: restaurant2osm [filter] [first inspection date]
Example filters: "query=Egon", "poststed=Oslo", "postnr=4885", "kommune=Bergen" (combine filters with &, use "")
The program produces restaurants which have their first inspection date on or after the given optional parameter
Writes output file to "restaurants.osm"
Reads postal/municipality codes from Posten and counties from Kartverket
"""
import json
import cgi
import sys
import time
import csv
import urllib
import urllib2
import re
version = "0.4.0"
header = { "User-Agent": "osm-no/restaurant2osm" }
debug = True
max_restaurants = 100000
transform_name = {
'Airport': 'airport',
'Alle': u'allé',
'alle': u'allé',
'AMFI': u'Amfi',
'Bakeri': 'bakeri',
'Brygge': 'brygge',
u'Cafè': u'Café',
u'cafè': u'café',
'Gate': 'gate',
u'Gård': u'gård',
'Hagesenter': 'hagesenter',
'Hotel': 'hotel',
'Hotell': 'hotell',
'Hos': 'hos',
'I': 'i',
'Lufthavn': 'lufthavn',
'McDonald': "McDonald's",
'McDonalds': "McDonald's",
u'McDonald´s': "McDonald's",
u'McDonald`s': "McDonald's",
'Og': 'og',
'Plass': 'plass',
u'På': u'på',
'Senter': 'senter',
'Sentrum': 'sentrum',
'Stasjon': 'stasjon',
'Storsenter': 'storsenter',
'Torg': 'torg',
'Torv': 'torv',
'Veg': 'veg',
'Vei': 'vei',
'AVD.': '',
'AVD': '',
'Avd.': '',
'avd.': '',
'Avd': '',
'avd': '',
'AS': '',
'As': '',
'as': '',
'A/S': '',
'a/s': '',
'ANS': '',
'ans': '',
'DA': '',
'Invest': '',
'invest': '',
'DRIFT': '',
'Drift': '',
'drift': ''
}
transform_address = {
'sgate ': 's gate ',
'sgt ': 's gate ',
'sgt.': 's gate',
'sveg ': 's veg ',
'svei ': 's vei ',
'splass ': 'splass ',
'storg ': 's torg ',
'storv ': 's torv ',
'sbrygge ': 's brygge ',
'gt ': 'gate ',
'gt.': 'gate ',
'pl.': 'plass ',
'pl ': 'plass ',
'br.': 'brygge ',
'v.': 'vei ',
'vn.': 'veien',
u'è': u'é'
}
amenities = {
'kafe': 'cafe',
'cafe': 'cafe',
u'kafé': 'cafe',
u'café': 'cafe',
'kaffe': 'cafe',
'coffee': 'cafe',
'espresso': 'cafe',
'baker': 'bakery',
u'brød': 'bakery',
'kafeteria': 'cafe',
'konditori': 'cafe',
'conditori': 'cafe',
'kiosk': 'cafe',
'iskrembar': 'cafe',
'juice': 'cafe',
'hotel': 'hotel',
'Staarbucks': 'cafe',
u'Jordbærpikene': 'cafe',
'burger': 'fast_food',
'Subway': 'fast_food',
u'gatekjøkken': 'fast_food',
'McDonald': 'fast_food',
'Mc Donald': 'fast_food',
'Burger King': 'fast_food'
}
def make_osm_line(key,value):
"""Produce a tag for OSM file"""
global file
if value:
encoded_value = cgi.escape(value.encode('utf-8'),True)
file.write (' <tag k="' + key + '" v="' + encoded_value + '" />\n')
def message (line):
"""Output message"""
sys.stdout.write (line)
sys.stdout.flush()
def try_urlopen (url):
"""Open file/api, try up to 5 times, each time with double sleep time"""
tries = 0
while tries < 5:
try:
return urllib2.urlopen(url)
except urllib2.HTTPError, e:
if e.code in [429, 503, 504]: # "Too many requests", "Service unavailable" or "Gateway timed out"
if tries == 0:
message ("\n")
message ("\r\tRetry %i in %ss... " % (tries + 1, 5 * (2**tries)))
time.sleep(5 * (2**tries))
tries += 1
else:
message ("\n\nHTTP error %i: %s\n" % (e.code, e.reason))
message ("%s\n" % url.get_full_url())
sys.exit()
except urllib2.URLError, e: # Mostly "Connection reset by peer"
if tries == 0:
message ("\n")
message ("\r\tRetry %i in %ss... " % (tries + 1, 5 * (2**tries)))
time.sleep(5 * (2**tries))
tries += 1
message ("\n\nError: %s\n" % e.reason)
message ("%s\n\n" % url.get_full_url())
sys.exit()
def get_address(street, house_number, postal_code, city):
"""Concatenate address line"""
address = street
if house_number:
address = address + " " + house_number
if address:
address = address + ", "
if postal_code:
address = address + postal_code + " "
if city:
address = address + city
return address.strip()
def geocode (street, house_number, house_letter, city):
"""Geocoding with Kartverket Matrikkel/Vegnavn REST service"""
# time.sleep(1)
if house_number:
if street[-1] == "-": # Avoid Kartverket bug
street = street[0: len(street) - 1]
if ":" in street:
street = street.replace(":", " ").replace(" ", " ")
if house_letter:
url = "https://ws.geonorge.no/adresser/v1/sok?sok=%s&nummer=%s&bokstav=%s&poststed=%s&treffPerSide=10" %\
(urllib.quote(street.encode('utf-8')), house_number, house_letter, urllib.quote(city.encode('utf-8')))
else:
url = "https://ws.geonorge.no/adresser/v1/sok?sok=%s&nummer=%s&poststed=%s&treffPerSide=10" %\
(urllib.quote(street.encode('utf-8')), house_number, urllib.quote(city.encode('utf-8')))
request = urllib2.Request(url)
file = try_urlopen(request)
result = json.load(file)
file.close()
result = result['adresser']
if result:
latitude = result[0]['representasjonspunkt']['lat']
longitude = result[0]['representasjonspunkt']['lon']
return (latitude, longitude)
else:
return None
else:
return None
if __name__ == '__main__':
"""Main program"""
message ("\nRestaurants from Mattilsynet's inspections\n")
if len(sys.argv) > 1:
input_query = sys.argv[1].decode("utf-8")
else:
input_query = ""
if len(sys.argv) > 2:
input_date = sys.argv[2]
else:
input_date = "1900-01-01"
# Read county names
filename = "https://register.geonorge.no/api/sosi-kodelister/fylkesnummer.json?"
file = urllib2.urlopen(filename)
county_data = json.load(file)
file.close()
county_names = {}
for county in county_data['containeditems']:
if county['status'] == "Gyldig":
county_names[county['codevalue']] = county['label'].strip()
# Read postal codes and municipality codes from Posten (updated daily)
file = urllib2.urlopen('https://www.bring.no/postnummerregister-ansi.txt')
postal_codes = csv.DictReader(file, fieldnames=['zip','post_city','municipality_ref','municipality_name','type'], delimiter="\t")
postcode_districts = {}
for row in postal_codes:
postcode_districts[ row['zip'] ] = {
'city': row['post_city'].decode("windows-1252").strip().title(),
'municipality_ref': row['municipality_ref'],
'municipality_name': row['municipality_name'].decode("windows-1252").strip().title()
}
file.close()
# If municipality is a filter then get all post codes for municipality
municipality_target = ""
query_split = input_query.split("&")
for query_part in query_split:
if query_part[0:8] == "kommune=":
municipality_target = query_part[8:]
if municipality_target == "Oslo": # More efficient to get Oslo through one post district query
input_query = input_query.replace("kommune=Oslo", "poststed=Oslo")
municipality_target = ""
target_list = []
if municipality_target:
for postcode in postcode_districts:
if postcode_districts[postcode]['municipality_name'] == municipality_target.title():
target_list.append(postcode)
if not(target_list):
if municipality_target:
message ("No postcodes found for %s municipality\n" % municipality_target)
sys.exit()
else:
target_list = ['9999'] # Dummy entry to get one iteration
# Get info about latest update
url = "https://hotell.difi.no/api/json/mattilsynet/smilefjes/tilsyn?"
request = urllib2.Request(url, headers=header)
file = urllib2.urlopen(request)
inspection_data = json.load(file)
file.close()
url += "page=%i" % inspection_data['pages']
request = urllib2.Request(url, headers=header)
file = urllib2.urlopen(request)
inspection_data = json.load(file)
file.close()
inspection = inspection_data['entries'][-1]
latest_inspection = "%s-%s-%s" % (inspection['dato'][4:8], inspection['dato'][2:4], inspection['dato'][0:2])
message ("Inspections in database: %i\n" % inspection_data['posts'])
# message ("Latest entry in database: %s (%s, %s)\n\n" % (latest_inspection, inspection['navn'], inspection['poststed'].title()))
# Read all data into memory
message ("Loading data... ")
restaurants = []
total_restaurants = 0
unique_restaurants = 0
for target in target_list: # Iterate all post codes for municipality, if filter
query = input_query
if municipality_target:
query = query.replace("kommune=" + municipality_target, "postnr=" + target)
page = 0
total_pages = 9999
while page < total_pages: # Iterate all pages with results of query
page += 1
url = "https://hotell.difi.no/api/json/mattilsynet/smilefjes/tilsyn?%s&page=%i" % \
(urllib.quote(query.encode("utf-8"), safe="&="), page)
request = urllib2.Request(url, headers=header)
file = urllib2.urlopen(request)
inspection_data = json.load(file)
file.close()
for inspection in inspection_data['entries']: # Iterate all inspections on result page
entry = {}
# Fix name
name = inspection['navn']
if name == name.upper():
name = name.title()
name_split = name.split()
for word in name_split[1:]:
for word_from, word_to in transform_name.iteritems():
if word == word_from:
name = name.replace(word_from, word_to)
date_inspection = "%s-%s-%s" % (inspection['dato'][4:8], inspection['dato'][2:4], inspection['dato'][0:2])
entry['name'] = name.replace(" "," ").strip()
entry['original_name'] = inspection['navn'].strip()
entry['postcode'] = inspection['postnr']
entry['city'] = inspection['poststed'].strip()
entry['date_first_inspection'] = date_inspection
entry['date_last_inspection'] = date_inspection
entry['date_created'] = "20%s-%s-%s" % \
(inspection['tilsynsobjektid'][1:3], inspection['tilsynsobjektid'][3:5], inspection['tilsynsobjektid'][5:7])
street = inspection['adrlinje1'].strip()
original_street = street
if inspection['adrlinje2']:
street = inspection['adrlinje2'].strip()
original_street = original_street + ", " + inspection['adrlinje2'].strip()
# Find house number and unit/letter
reg = re.search(r'(.*) [0-9]+[ \-\/]+([0-9]+)[ ]*([A-Za-z]?)$', street)
if not(reg):
reg = re.search(r'(.*) ([0-9]+)[ ]*([A-Za-z]?)$', street)
if reg:
street = reg.group(1).strip()
house_number = reg.group(2)
house_letter = reg.group(3)
else:
house_number = ""
house_letter = ""
address = get_address(street, house_number + house_letter, entry['postcode'], entry['city'])
entry['street'] = street
entry['house_number'] = house_number
entry['house_letter'] = house_letter
entry['address'] = address
entry['original_address'] = get_address(original_street, "", inspection['postnr'], inspection['poststed'])
# Look up identical previous restaurants to avoid duplicates
found = None
for previous in restaurants:
if (previous['address'] == address) and (previous['original_name'] == entry['original_name']):
found = previous
if found:
if found['date_last_inspection'] < date_inspection:
found['date_last_inspection'] = date_inspection
if found['date_first_inspection'] > date_inspection:
found['date_first_inspection'] = date_inspection
elif name.find(" M/S") < 0:
restaurants.append(entry)
unique_restaurants += 1
total_pages = inspection_data['pages']
total_restaurants += inspection_data['posts']
# Update dates for reporting
latest_inspection = ""
first_inspection = "9999"
latest_restaurant = ""
for restaurant in restaurants:
if restaurant['date_last_inspection'] > latest_inspection:
latest_inspection = restaurant['date_last_inspection']
if restaurant['date_first_inspection'] < first_inspection:
first_inspection = restaurant['date_first_inspection']
if restaurant['date_created'] > latest_restaurant:
latest_restaurant = restaurant['date_created']
message ("\nFound %i inspections and %i restaurants\n\n" % (total_restaurants, unique_restaurants))
# Produce OSM file
count = 0
if (unique_restaurants > 0) and (unique_restaurants < max_restaurants):
# Produce OSM file header
message ("Geocoding and generating output file...\n")
filename = "restaurants.osm"
file = open (filename, "w")
file.write ('<?xml version="1.0" encoding="UTF-8"?>\n')
file.write ('<osm version="0.6" generator="restaurant2osm v%s" upload="false">\n' % version)
node_id = -10000
# Iterate all restaurants and produce OSM tags
for restaurant in restaurants:
if restaurant['date_first_inspection'] >= input_date:
# Attempt to geocode address
latitude = 0.0
longitude = 0.0
result = geocode (restaurant['street'], restaurant['house_number'], restaurant['house_letter'], restaurant['city'])
if result:
latitude = result[0]
longitude = result[1]
count += 1
else:
# Attempt new geocoding after fixing street name
street = restaurant['street'] + " "
old_street = street
for word_from, word_to in transform_address.iteritems():
street = street.replace(word_from, word_to)
street = street.replace(word_from.upper(), word_to.upper())
if street != old_street:
result = geocode (street, restaurant['house_number'], restaurant['house_letter'], restaurant['city'])
if result:
latitude = result[0]
longitude = result[1]
count += 1
node_id -= 1
file.write (' <node id="%i" lat="%f" lon="%f">\n' % (node_id, latitude, longitude))
# Decide amenity type
amenity = "restaurant"
for keyword, amenity_value in amenities.iteritems():
if restaurant['name'].lower().find(keyword.lower()) >= 0:
amenity = amenity_value
# Produce tags
if amenity == "hotel":
make_osm_line("amenity", "restaurant")
make_osm_line("FIXME", "Please consider tourism=hotel tagging, or separate node")
elif amenity == "bakery":
make_osm_line("amenity", "cafe")
make_osm_line("shop", "bakery")
else:
make_osm_line("amenity", amenity)
make_osm_line("name", restaurant['name'])
make_osm_line("ADDRESS", restaurant['original_address'])
make_osm_line("CREATED", restaurant['date_created'])
make_osm_line("FIRST_INSPECTION", restaurant['date_first_inspection'])
make_osm_line("LAST_INSPECTION", restaurant['date_last_inspection'])
if restaurant['name'] != restaurant['original_name']:
make_osm_line("ORIGINAL_NAME", restaurant['original_name'])
if (latitude == 0.0) and (longitude ==0.0): # Tag for geocoding using geocode2osm
make_osm_line ("GEOCODE", "yes")
# Find municipality and county from looking up postal code translation
if restaurant['postcode'] in postcode_districts:
make_osm_line("MUNICIPALITY", postcode_districts[ restaurant['postcode'] ]['municipality_name'])
make_osm_line("COUNTY", county_names[ postcode_districts[ restaurant['postcode'] ]['municipality_ref'][0:2] ])
else:
message ("Postcode not found: %s\n" % restaurant['postcode'])
# Done with OSM store node
file.write (' </node>\n')
if not(result):
message ("Address not geocoded: %s --> %s" % (restaurant['name'], restaurant['original_address']))
if restaurant['address'] != restaurant['original_address']:
message (" (%s)\n" % restaurant['address'])
else:
message ("\n")
# Wrap up
file.write ('</osm>\n')
file.close()
message ("\nSuccessfully geocoded %i of %i restaurants\n" % (count, unique_restaurants))
message ("Written %i restaurants to file '%s'\n" % (unique_restaurants, filename))
if count < unique_restaurants:
message ("You may geocode the remaining %i restaurants with 'github.com/osmno/geocode2osm'\n" % (unique_restaurants - count))
message ("\nLatest restaurant: %s\n" % latest_restaurant)
message ("Latest inspection: %s\n" % latest_inspection)
message ("First inspection: %s\n\n" % first_inspection)
elif unique_restaurants > max_restaurants:
message ("Too many restaurants, please reduce scope of search\n")
else:
message ("No output file produced\n")