706 lines
28 KiB
Python
Executable file
706 lines
28 KiB
Python
Executable file
#!/usr/bin/env python3
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#
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# https://git.kabelsalat.ch/s3lph/erfamap
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import os
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import urllib.request
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import urllib.parse
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import json
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import base64
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import sys
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import argparse
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import shutil
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import random
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from lxml import etree
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import pyproj
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from geopy import Nominatim
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import tqdm
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import cairosvg
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from PIL import Image, ImageFont
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from PIL.ImageDraw import ImageDraw
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USER_AGENT = 'Erfamap/v0.1 (https://git.kabelsalat.ch/s3lph/erfamap)'
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class CachePaths:
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def __init__(self, path: str):
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if os.path.exists(path) and not os.path.isdir(path):
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raise AttributeError(f'Path exists but is not a directory: {path}')
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os.makedirs(path, exist_ok=True)
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self.shapes_states = os.path.join(path, 'shapes_states')
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self.shapes_countries = os.path.join(path, 'shapes_countries')
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self.shapes_filtered = os.path.join(path, 'shapes_filtered')
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self.erfa_info = os.path.join(path, 'erfa-info.json')
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self.chaostreff_info = os.path.join(path, 'chaostreff-info.json')
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ERFA_URL = 'https://doku.ccc.de/Spezial:Semantische_Suche/format%3Djson/limit%3D50/link%3Dall/headers%3Dshow/searchlabel%3DJSON/class%3Dsortable-20wikitable-20smwtable/sort%3D/order%3Dasc/offset%3D0/-5B-5BKategorie:Erfa-2DKreise-5D-5D-20-5B-5BChaostreff-2DActive::wahr-5D-5D/-3FChaostreff-2DCity/-3FChaostreff-2DPhysical-2DAddress/-3FChaostreff-2DPhysical-2DHousenumber/-3FChaostreff-2DPhysical-2DPostcode/-3FChaostreff-2DPhysical-2DCity/-3FChaostreff-2DCountry/mainlabel%3D/prettyprint%3Dtrue/unescape%3Dtrue'
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CHAOSTREFF_URL = 'https://doku.ccc.de/Spezial:Semantische_Suche/format%3Djson/limit%3D50/link%3Dall/headers%3Dshow/searchlabel%3DJSON/class%3Dsortable-20wikitable-20smwtable/sort%3D/order%3Dasc/offset%3D0/-5B-5BKategorie:Chaostreffs-5D-5D-20-5B-5BChaostreff-2DActive::wahr-5D-5D/-3FChaostreff-2DCity/-3FChaostreff-2DPhysical-2DAddress/-3FChaostreff-2DPhysical-2DHousenumber/-3FChaostreff-2DPhysical-2DPostcode/-3FChaostreff-2DPhysical-2DCity/-3FChaostreff-2DCountry/mainlabel%3D/prettyprint%3Dtrue/unescape%3Dtrue'
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def sparql_query(query):
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headers = {
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'Content-Type': 'application/x-www-form-urlencoded',
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'User-Agent': USER_AGENT,
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'Accept': 'application/sparql-results+json',
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}
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body = urllib.parse.urlencode({'query': query}).encode()
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req = urllib.request.Request('https://query.wikidata.org/sparql', headers=headers, data=body)
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with urllib.request.urlopen(req) as resp:
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resultset = json.load(resp)
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results = {}
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for r in resultset.get('results', {}).get('bindings'):
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basename = None
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url = None
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for k, v in r.items():
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if k == 'item':
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basename = os.path.basename(v['value'])
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elif k == 'map':
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url = v['value']
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results[basename] = url
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return results
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def fetch_geoshapes(target, shape_urls):
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os.makedirs(target, exist_ok=True)
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candidates = {}
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keep = {}
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for item, url in tqdm.tqdm(shape_urls.items()):
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try:
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with urllib.request.urlopen(url) as resp:
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shape = json.load(resp)
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if not shape.get('license', 'proprietary').startswith('CC0-'):
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# Only include public domain data
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continue
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candidates.setdefault(item, []).append(shape)
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except urllib.error.HTTPError as e:
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print(e)
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for item, ican in candidates.items():
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# Prefer zoom level 4
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keep[item] = min(ican, key=lambda x: abs(4-x.get('zoom', 1000)))
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for item, shape in keep.items():
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with open(os.path.join(target, item + '.json'), 'w') as f:
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json.dump(shape, f)
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def fetch_wikidata_states(target):
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shape_urls = sparql_query('''
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PREFIX wd: <http://www.wikidata.org/entity/>
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PREFIX wdt: <http://www.wikidata.org/prop/direct/>
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SELECT DISTINCT ?item ?map WHERE {
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# ?item is instance of federal state of germany and has geoshape ?map
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?item wdt:P31 wd:Q1221156;
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wdt:P3896 ?map
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}
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''')
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print('Retrieving state border shapes')
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fetch_geoshapes(target, shape_urls)
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def fetch_wikidata_countries(target):
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shape_urls = sparql_query('''
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PREFIX wd: <http://www.wikidata.org/entity/>
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PREFIX wdt: <http://www.wikidata.org/prop/direct/>
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PREFIX p: <http://www.wikidata.org/prop/>
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PREFIX ps: <http://www.wikidata.org/prop/statement/>
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PREFIX wikibase: <http://wikiba.se/ontology#>
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SELECT DISTINCT ?item ?map WHERE {
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# ?item is instance of sovereign state, transitively part of europe and has geoshape ?map
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# ?item is instance of country or sovereign state
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?item wdt:P31 ?stateclass.
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# ?item is transitively part of Europe (Contintent) or EEA
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?item wdt:P361+ ?euroclass.
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# ?item has geoshape ?map (including all non-deprecated results)
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?item p:P3896 ?st.
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?st ps:P3896 ?map;
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MINUS { ?st wikibase:rank wikibase:DeprecatedRank }
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FILTER (?stateclass = wd:Q6256 || ?stateclass = wd:Q3624078).
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FILTER (?euroclass = wd:Q46 || ?euroclass = wd:Q8932).
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}
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''')
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print('Retrieving country border shapes')
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fetch_geoshapes(target, shape_urls)
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def filter_boundingbox(source, target, bbox):
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files = os.listdir(source)
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os.makedirs(target, exist_ok=True)
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print('Filtering countries outside the bounding box')
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for f in tqdm.tqdm(files):
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if not f.endswith('.json') or 'Q183.json' in f:
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continue
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path = os.path.join(source, f)
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with open(path, 'r') as sf:
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shapedata = sf.read()
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shape = json.loads(shapedata)
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keep = False
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geo = shape['data']['features'][0]['geometry']
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if geo['type'] == 'Polygon':
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geo['coordinates'] = [geo['coordinates']]
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for poly in geo['coordinates']:
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for point in poly[0]:
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if point[0] >= bbox[0][0] and point[1] >= bbox[0][1] \
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and point[0] <= bbox[1][0] and point[1] <= bbox[1][1]:
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keep = True
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break
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if keep:
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break
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if keep:
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with open(os.path.join(target, f), 'w') as sf:
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sf.write(shapedata)
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def address_lookup(name, erfa):
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locator = Nominatim(user_agent=USER_AGENT)
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number = erfa['Chaostreff-Physical-Housenumber']
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street = erfa['Chaostreff-Physical-Address']
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zipcode = erfa['Chaostreff-Physical-Postcode']
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acity = erfa['Chaostreff-Physical-City']
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city = erfa['Chaostreff-City'][0]
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country = erfa['Chaostreff-Country'][0]
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formats = [
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# Muttenz, Schweiz
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f'{city}, {country}'
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]
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if zipcode and acity:
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# 4132 Muttenz, Schweiz
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formats.insert(0, f'{zipcode[0]} {acity[0]}, {country}')
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if zipcode and acity and number and street:
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# Birsfelderstrasse 6, 4132 Muttenz, Schweiz
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formats.insert(0, f'{street[0]} {number[0]}, {zipcode[0]} {acity[0]}, {country}')
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for fmt in formats:
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response = locator.geocode(fmt)
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if response is not None:
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return response.longitude, response.latitude
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print(f'No location found for {name}, tried the following address formats:')
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for fmt in formats:
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print(f' {fmt}')
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return None
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def fetch_erfas(target, url):
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userpw = os.getenv('DOKU_CCC_DE_BASICAUTH')
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if userpw is None:
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print('Please set environment variable DOKU_CCC_DE_BASICAUTH=username:password')
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exit(1)
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auth = base64.b64encode(userpw.encode()).decode()
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erfas = {}
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req = urllib.request.Request(url, headers={'Authorization': f'Basic {auth}'})
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with urllib.request.urlopen(req) as resp:
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erfadata = json.loads(resp.read().decode())
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print('Looking up addresses')
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for name, erfa in tqdm.tqdm(erfadata['results'].items()):
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location = address_lookup(name, erfa['printouts'])
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if location is None:
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print(f'WARNING: No location for {name}')
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city = erfa['printouts']['Chaostreff-City'][0]
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erfas[city] = location
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with open(target, 'w') as f:
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json.dump(erfas, f)
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def compute_bbox(ns):
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if ns.bbox is not None:
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return [
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(min(ns.bbox[0], ns.bbox[2]), min(ns.bbox[1], ns.bbox[3])),
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(max(ns.bbox[0], ns.bbox[2]), max(ns.bbox[1], ns.bbox[3]))
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]
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print('Computing map bounding box')
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bounds = []
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for path in tqdm.tqdm([ns.cache_directory.erfa_info, ns.cache_directory.chaostreff_info]):
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with open(path, 'r') as f:
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erfadata = json.load(f)
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for lon, lat in erfadata.values():
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if len(bounds) == 0:
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bounds.append(lon)
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bounds.append(lat)
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bounds.append(lon)
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bounds.append(lat)
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else:
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bounds[0] = min(bounds[0], lon)
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bounds[1] = min(bounds[1], lat)
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bounds[2] = max(bounds[2], lon)
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bounds[3] = max(bounds[3], lat)
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return [
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(bounds[0] - ns.bbox_margin, bounds[1] - ns.bbox_margin),
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(bounds[2] + ns.bbox_margin, bounds[3] + ns.bbox_margin)
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]
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class BoundingBox:
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def __init__(self, left, top, right=None, bottom=None, *, width=None, height=None, meta=None, base_weight=0):
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self.left = left
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self.top = top
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self.right = right if width is None else left + width
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self.bottom = bottom if height is None else top + height
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self.meta = meta
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self.base_weight = base_weight
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self.finished = False
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def __contains__(self, other):
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if isinstance(other, BoundingBox):
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if other.right < self.left or other.left > self.right:
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return False
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if other.bottom < self.top or other.top > self.bottom:
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return False
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return True
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elif isinstance(other, tuple) or isinstance(other, list):
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if len(other) != 2:
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raise TypeError()
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if self.left > other[0] or self.right < other[0]:
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return False
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if self.top > other[1] or self.bottom < other[1]:
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return False
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return True
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raise TypeError()
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def __add__(self, other):
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if not isinstance(other, tuple) and not isinstance(other, list):
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raise TypeError()
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return BoundingBox(self.left + other[0], self.top + other[1],
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self.right + other[0], self.bottom + other[1],
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width=None, height=None, meta=self.meta, base_weight=self.base_weight)
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def __iadd__(self, other):
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if not isinstance(other, tuple) and not isinstance(other, list):
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raise TypeError()
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self.left += other[0]
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self.top += other[1]
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self.right += other[0]
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self.bottom += other[1]
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return self
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def __sub__(self, other):
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if not isinstance(other, tuple) and not isinstance(other, list):
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raise TypeError()
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return BoundingBox(self.left - other[0], self.top - other[1],
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self.right - other[0], self.bottom - other[1],
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width=None, height=None, meta=self.meta, base_weight=self.base_weight)
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def __isub__(self, other):
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if not isinstance(other, tuple) and not isinstance(other, list):
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raise TypeError()
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self.left -= other[0]
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self.top -= other[1]
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self.right -= other[0]
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self.bottom -= other[1]
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self._weight = None
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return self
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@property
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def width(self):
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return self.right - self.left
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@property
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def height(self):
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return self.bottom - self.top
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@property
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def center(self):
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return (self.left + self.width/2, self.top + self.height/2)
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def distance2(self, other):
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c1 = self.center
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c2 = other.center
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return (c1[0] - c2[0])**2 + (c1[1] - c2[1])**2
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def with_margin(self, margin):
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return BoundingBox(self.left - margin, self.top - margin,
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self.right + margin, self.bottom + margin,
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width=None, height=None, meta=self.meta, base_weight=self.base_weight)
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def chebyshev_distance(self, other):
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if other in self:
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return 0
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if isinstance(other, BoundingBox):
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if other.left < self.left < other.right or other.left < self.right < other.right:
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dh = 0
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else:
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dh = min(abs(self.left - other.right), abs(self.right - other.left))
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if other.top < self.top < other.bottom or other.top < self.bottom < other.bottom:
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dv = 0
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else:
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dv = min(abs(self.top - other.bottom), abs(self.bottom - other.top))
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return max(dh, dv)
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elif isinstance(other, tuple) or isinstance(other, list):
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if self.left < other[0] < self.right:
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dh = 0
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else:
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dh = min(abs(self.left - other[0]), abs(self.right - other[0]))
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if self.top < other[1] < self.bottom:
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dv = 0
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else:
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dv = min(abs(self.top - other[1]), abs(self.bottom - other[1]))
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return max(dh, dv)
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else:
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raise TypeError()
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def compute_weight(self, other, erfas, chaostreffs, ns):
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w = 0
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swm = self.with_margin(ns.font_distance)
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swe = self.with_margin(ns.dotsize_erfa)
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swc = self.with_margin(ns.dotsize_treff)
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swme = swm.with_margin(ns.dotsize_erfa)
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swmc = swm.with_margin(ns.dotsize_treff)
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# I hope these weights are somewhat reasonably balanced...
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for o in other:
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if o.meta['city'] == self.meta['city']:
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continue
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if o in self:
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if o.finished:
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w += 1000
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else:
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w += 50
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else:
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w += max(ns.font_distance*2 - swc.chebyshev_distance(o), 0)
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continue
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if o in swm:
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if o.finished:
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w += 3
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else:
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w += 1
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for city, location in erfas.items():
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if city == self.meta['city']:
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continue
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if location in swe:
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w += 1000
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else:
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w += max(ns.font_distance*2 - swe.chebyshev_distance(location), 0)
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for city, location in chaostreffs.items():
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if city == self.meta['city']:
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continue
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if location in swc:
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w += 1000
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else:
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w += max(ns.font_distance*2 - swc.chebyshev_distance(location), 0)
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self._weight = w
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@property
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def weight(self):
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return self._weight + self.base_weight
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@property
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def is_optimal(self):
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return self._weight == 0
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def __str__(self):
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return f'(({int(self.left)}, {int(self.top)}, {int(self.right)}, {int(self.bottom)}), weight={self.weight})'
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def optimize_text_layout(ns, erfas, chaostreffs, size, svg):
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font = ImageFont.truetype(ns.font, ns.font_size)
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pil = ImageDraw(Image.new('P', (1, 1)))
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xheight = -pil.textbbox((0,0), 'x', font=font, anchor='ls')[1]
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capheight = -pil.textbbox((0,0), 'A', font=font, anchor='ls')[1]
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voffset = - capheight / 2
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candidates = {}
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for city, location in erfas.items():
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text = city
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erfax, erfay = location
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for rfrom, to in ns.rename:
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if rfrom == city:
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text = to
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break
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meta = {'city': city, 'text': text, 'baseline': capheight}
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textbox = pil.textbbox((0, 0), text, font=font, anchor='ls') # left, baseline at 0,0
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mw, mh = textbox[2] - textbox[0], textbox[3] - textbox[1]
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rbox = BoundingBox(erfax + ns.font_distance, erfay + voffset, width=mw, height=mh, meta=meta)
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lbox = BoundingBox(erfax - ns.font_distance - mw, erfay + voffset, width=mw, height=mh, meta=meta)
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if erfax > 0.8 * size[0]:
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rbox.base_weight += 0.001
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else:
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lbox.base_weight += 0.001
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candidates[city] = [lbox, rbox]
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for i in range(-2, 3):
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if i == 0:
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continue
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candidates[city].append(lbox + (0, ns.dotsize_erfa*i))
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candidates[city].append(rbox + (0, ns.dotsize_erfa*i))
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candidates[city].extend([
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BoundingBox(erfax - mw/2, erfay - ns.font_distance - mh, width=mw, height=mh, meta=meta, base_weight=0.001),
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BoundingBox(erfax - mw/2, erfay + ns.font_distance, width=mw, height=mh, meta=meta, base_weight=0.001),
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BoundingBox(erfax - ns.dotsize_erfa, erfay - ns.font_distance - mh, width=mw, height=mh, meta=meta, base_weight=0.002),
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BoundingBox(erfax - ns.dotsize_erfa, erfay + ns.font_distance, width=mw, height=mh, meta=meta, base_weight=0.003),
|
|
BoundingBox(erfax + ns.dotsize_erfa - mw, erfay - ns.font_distance - mh, width=mw, height=mh, meta=meta, base_weight=0.001),
|
|
BoundingBox(erfax + ns.dotsize_erfa - mw, erfay + ns.font_distance, width=mw, height=mh, meta=meta, base_weight=0.001),
|
|
])
|
|
rbox.base_weight -= 0.003
|
|
lbox.base_weight -= 0.003
|
|
|
|
if ns.debug:
|
|
for c in candidates[city]:
|
|
di = etree.Element('rect', x=str(c.left), y=str(c.top + capheight - xheight), width=str(c.width), height=str(xheight))
|
|
di.set('class', 'debugright')
|
|
dr = etree.Element('rect', x=str(c.left), y=str(c.top), width=str(c.width), height=str(c.height))
|
|
dr.set('class', 'debugleft')
|
|
svg.append(di)
|
|
svg.append(dr)
|
|
|
|
|
|
unfinished = {c for c in erfas.keys()}
|
|
finished = {}
|
|
|
|
with tqdm.tqdm(total=len(erfas)) as progress:
|
|
while len(unfinished) > 0:
|
|
progress.update(len(erfas) - len(unfinished))
|
|
|
|
all_boxes = set(finished.values())
|
|
unfinished_boxes = set()
|
|
for city in unfinished:
|
|
all_boxes.update(candidates[city])
|
|
unfinished_boxes.update(candidates[city])
|
|
for box in all_boxes:
|
|
box.compute_weight(all_boxes, erfas, chaostreffs, ns)
|
|
|
|
# Get candidate with the least number of optimal solutions > 0
|
|
optcity = min(unfinished, key=lambda city: len([1 for box in candidates[city] if box.is_optimal]) or float('inf'))
|
|
optboxes = [box for box in candidates[optcity] if box.is_optimal]
|
|
if len(optboxes) > 0:
|
|
finished[optcity] = min(optboxes, key=lambda box: box.weight)
|
|
finished[optcity].finished = True
|
|
unfinished.discard(optcity)
|
|
continue
|
|
|
|
# If no candidate with at least one optimal solution is left, go by global minimum
|
|
minbox = min(unfinished_boxes, key=lambda box: box.weight)
|
|
mincity = minbox.meta['city']
|
|
finished[mincity] = minbox
|
|
minbox.finished = True
|
|
unfinished.discard(mincity)
|
|
|
|
# Iteratively improve the layout
|
|
for i in tqdm.tqdm(range(len(finished))):
|
|
changed = False
|
|
order = list(finished.keys())
|
|
random.shuffle(order)
|
|
for city in order:
|
|
all_boxes = set(finished.values())
|
|
for box in candidates[city]:
|
|
box.compute_weight(all_boxes, erfas, chaostreffs, ns)
|
|
minbox = min(candidates[city], key=lambda box: box.weight)
|
|
if minbox is not finished[city]:
|
|
changed = True
|
|
finished[city] = minbox
|
|
minbox.finished = True
|
|
if not changed:
|
|
# Nothing changed in this iteration - no need to retry
|
|
break
|
|
|
|
return finished
|
|
|
|
|
|
def create_svg(ns, bbox):
|
|
print('Creating SVG image')
|
|
|
|
# Convert from WGS84 lon, lat to chosen projection
|
|
transformer = pyproj.Transformer.from_crs('epsg:4326', ns.projection)
|
|
scalex = ns.scale_x
|
|
scaley = ns.scale_y
|
|
blt = transformer.transform(*bbox[0])
|
|
trt = transformer.transform(*bbox[1])
|
|
trans_bounding_box = [
|
|
(scalex*blt[0], scaley*trt[1]),
|
|
(scalex*trt[0], scaley*blt[1])
|
|
]
|
|
origin = trans_bounding_box[0]
|
|
svg_box = (trans_bounding_box[1][0] - origin[0], origin[1] - trans_bounding_box[1][1])
|
|
|
|
shapes_states = []
|
|
files = os.listdir(ns.cache_directory.shapes_states)
|
|
for f in files:
|
|
if not f.endswith('.json'):
|
|
continue
|
|
path = os.path.join(ns.cache_directory.shapes_states, f)
|
|
with open(path, 'r') as sf:
|
|
shapedata = sf.read()
|
|
shape = json.loads(shapedata)
|
|
name = shape['description']['en']
|
|
geo = shape['data']['features'][0]['geometry']
|
|
if geo['type'] == 'Polygon':
|
|
geo['coordinates'] = [geo['coordinates']]
|
|
for poly in geo['coordinates']:
|
|
ts = []
|
|
for x, y in poly[0]:
|
|
xt, yt = transformer.transform(x, y)
|
|
ts.append((xt*scalex - origin[0], origin[1] - yt*scaley))
|
|
shapes_states.append((name, ts))
|
|
|
|
shapes_countries = []
|
|
files = os.listdir(ns.cache_directory.shapes_filtered)
|
|
for f in files:
|
|
if not f.endswith('.json'):
|
|
continue
|
|
path = os.path.join(ns.cache_directory.shapes_filtered, f)
|
|
with open(path, 'r') as sf:
|
|
shapedata = sf.read()
|
|
shape = json.loads(shapedata)
|
|
name = shape['description']['en']
|
|
geo = shape['data']['features'][0]['geometry']
|
|
if geo['type'] == 'Polygon':
|
|
geo['coordinates'] = [geo['coordinates']]
|
|
for poly in geo['coordinates']:
|
|
ts = []
|
|
for x, y in poly[0]:
|
|
xt, yt = transformer.transform(x, y)
|
|
ts.append((xt*scalex - origin[0], origin[1] - yt*scaley))
|
|
shapes_countries.append((name, ts))
|
|
|
|
chaostreffs = {}
|
|
with open(ns.cache_directory.chaostreff_info, 'r') as f:
|
|
ctdata = json.load(f)
|
|
for city, location in ctdata.items():
|
|
if location is None:
|
|
continue
|
|
xt, yt = transformer.transform(*location)
|
|
chaostreffs[city] = (xt*scalex - origin[0], origin[1] - yt*scaley)
|
|
|
|
erfas = {}
|
|
with open(ns.cache_directory.erfa_info, 'r') as f:
|
|
ctdata = json.load(f)
|
|
for city, location in ctdata.items():
|
|
if location is None:
|
|
continue
|
|
xt, yt = transformer.transform(*location)
|
|
erfas[city] = (xt*scalex - origin[0], origin[1] - yt*scaley)
|
|
|
|
rectbox = [0, 0, svg_box[0], svg_box[1]]
|
|
for name, shape in shapes_states + shapes_countries:
|
|
for lon, lat in shape:
|
|
rectbox[0] = min(lon, rectbox[0])
|
|
rectbox[1] = min(lat, rectbox[1])
|
|
rectbox[2] = max(lon, rectbox[2])
|
|
rectbox[3] = max(lat, rectbox[3])
|
|
|
|
|
|
svg = etree.Element('svg',
|
|
xmlns='http://www.w3.org/2000/svg',
|
|
viewBox=f'0 0 {svg_box[0]} {svg_box[1]}',
|
|
width=str(svg_box[0]), height=str(svg_box[1]))
|
|
|
|
defs = etree.Element('defs')
|
|
style = etree.Element('style', type='text/css')
|
|
style.text = f'@import url({ns.stylesheet})'
|
|
defs.append(style)
|
|
svg.append(defs)
|
|
|
|
bg = etree.Element('rect',
|
|
id='background',
|
|
x=str(rectbox[0]),
|
|
y=str(rectbox[1]),
|
|
width=str(rectbox[3]-rectbox[1]),
|
|
height=str(rectbox[2]-rectbox[0]))
|
|
bg.set('class', 'background')
|
|
svg.append(bg)
|
|
|
|
for name, shape in shapes_countries:
|
|
points = ' '.join([f'{lon},{lat}' for lon, lat in shape])
|
|
poly = etree.Element('polygon', points=points)
|
|
poly.set('class', 'country')
|
|
poly.set('data-country', name)
|
|
svg.append(poly)
|
|
|
|
# Render shortest shapes last s.t. Berlin, Hamburg and Bremen are rendered on top of their surrounding states
|
|
for name, shape in sorted(shapes_states, key=lambda x: -sum(len(s) for s in x[1])):
|
|
points = ' '.join([f'{lon},{lat}' for lon, lat in shape])
|
|
poly = etree.Element('polygon', points=points)
|
|
poly.set('class', 'state')
|
|
poly.set('data-state', name)
|
|
svg.append(poly)
|
|
|
|
for city, location in erfas.items():
|
|
circle = etree.Element('circle', cx=str(location[0]), cy=str(location[1]), r=str(ns.dotsize_erfa))
|
|
circle.set('class', 'erfa')
|
|
circle.set('data-erfa', city)
|
|
svg.append(circle)
|
|
|
|
for city, location in chaostreffs.items():
|
|
circle = etree.Element('circle', cx=str(location[0]), cy=str(location[1]), r=str(ns.dotsize_treff))
|
|
circle.set('class', 'chaostreff')
|
|
circle.set('data-chaostreff', city)
|
|
svg.append(circle)
|
|
|
|
|
|
print('Layouting labels')
|
|
texts = optimize_text_layout(ns, erfas, chaostreffs, (int(svg_box[0]), int(svg_box[1])), svg)
|
|
for city, box in texts.items():
|
|
text = etree.Element('text', x=str(box.left), y=str(box.top + box.meta['baseline']))
|
|
text.set('class', 'erfalabel')
|
|
text.set('data-erfa', city)
|
|
text.text = box.meta['text']
|
|
svg.append(text)
|
|
|
|
print('Done, writing SVG')
|
|
with open('map.svg', 'wb') as mapfile:
|
|
root = etree.ElementTree(svg)
|
|
root.write(mapfile)
|
|
|
|
print('Done, writing PNG')
|
|
cairosvg.svg2png(url='map.svg', write_to='map.png')
|
|
print('Done')
|
|
|
|
|
|
def main():
|
|
ap = argparse.ArgumentParser(sys.argv[0])
|
|
ap.add_argument('--cache-directory', type=CachePaths, default='cache', help='Path to the cache directory')
|
|
ap.add_argument('--update-borders', action='store_true', default=False, help='Update country borders from Wikidata')
|
|
ap.add_argument('--update-erfalist', action='store_true', default=False, help='Update Erfa/Chaostreff list from doku.ccc.de')
|
|
ap.add_argument('--bbox', type=float, nargs=4, metavar=('LON', 'LAT', 'LON', 'LAT') ,default=None, help='Override map bounding box')
|
|
ap.add_argument('--bbox-margin', type=float, default=0.3, help='Margin around the inferred bounding box. Ignored with --bbox')
|
|
ap.add_argument('--stylesheet', type=str, default='style/erfamap.css', help='Stylesheet for the generated SVG')
|
|
ap.add_argument('--font', type=str, default='style/concertone-regular.ttf', help='Name of the font used in the stylesheet.')
|
|
ap.add_argument('--font-size', type=int, default=45, help='Size of the font used in the stylesheet.')
|
|
ap.add_argument('--font-distance', type=int, default=18, help='Distance of labels from their dots center')
|
|
ap.add_argument('--dotsize-erfa', type=float, default=13, help='Radius of Erfa dots')
|
|
ap.add_argument('--dotsize-treff', type=float, default=8, help='Radius of Chaostreff dots')
|
|
ap.add_argument('--rename', type=str, action='append', nargs=2, metavar=('FROM', 'TO'), default=[], help='Rename a city with an overly long name (e.g. "Rothenburg ob der Tauber" to "Rothenburg")')
|
|
ap.add_argument('--projection', type=str, default='epsg:4258', help='Map projection to convert the WGS84 coordinates to')
|
|
ap.add_argument('--scale-x', type=float, default=130, help='X axis scale to apply after projecting')
|
|
ap.add_argument('--scale-y', type=float, default=200, help='Y axis scale to apply after projecting')
|
|
ap.add_argument('--debug', action='store_true', default=False, help='Add debug information to the produced SVG')
|
|
|
|
ns = ap.parse_args(sys.argv[1:])
|
|
|
|
if ns.update_borders or not os.path.isdir(ns.cache_directory.shapes_countries):
|
|
if os.path.isdir(ns.cache_directory.shapes_countries):
|
|
shutil.rmtree(ns.cache_directory.shapes_countries)
|
|
fetch_wikidata_countries(target=ns.cache_directory.shapes_countries)
|
|
|
|
if ns.update_borders or not os.path.isdir(ns.cache_directory.shapes_states):
|
|
if os.path.isdir(ns.cache_directory.shapes_states):
|
|
shutil.rmtree(ns.cache_directory.shapes_states)
|
|
fetch_wikidata_states(target=ns.cache_directory.shapes_states)
|
|
|
|
if ns.update_erfalist or not os.path.isfile(ns.cache_directory.erfa_info):
|
|
if os.path.exists(ns.cache_directory.erfa_info):
|
|
os.unlink(ns.cache_directory.erfa_info)
|
|
fetch_erfas(target=ns.cache_directory.erfa_info, url=ERFA_URL)
|
|
|
|
if ns.update_erfalist or not os.path.isfile(ns.cache_directory.chaostreff_info):
|
|
if os.path.exists(ns.cache_directory.chaostreff_info):
|
|
os.unlink(ns.cache_directory.chaostreff_info)
|
|
fetch_erfas(target=ns.cache_directory.chaostreff_info, url=CHAOSTREFF_URL)
|
|
|
|
bbox = compute_bbox(ns)
|
|
|
|
filter_boundingbox(ns.cache_directory.shapes_countries, ns.cache_directory.shapes_filtered, bbox)
|
|
|
|
create_svg(ns, bbox)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|