erfamap/generate_map.py
s3lph 7c954242eb
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Better handling for avoiding obstacles when layouting text with 0 distance
2022-10-09 23:50:04 +02:00

712 lines
28 KiB
Python
Executable file

#!/usr/bin/env python3
#
# https://git.kabelsalat.ch/s3lph/erfamap
import os
import urllib.request
import urllib.parse
import json
import base64
import sys
import argparse
import shutil
import random
from lxml import etree
import pyproj
from geopy import Nominatim
import tqdm
import cairosvg
from PIL import Image, ImageFont
from PIL.ImageDraw import ImageDraw
USER_AGENT = 'Erfamap/v0.1 (https://git.kabelsalat.ch/s3lph/erfamap)'
class CachePaths:
def __init__(self, path: str):
if os.path.exists(path) and not os.path.isdir(path):
raise AttributeError(f'Path exists but is not a directory: {path}')
os.makedirs(path, exist_ok=True)
self.shapes_states = os.path.join(path, 'shapes_states')
self.shapes_countries = os.path.join(path, 'shapes_countries')
self.shapes_filtered = os.path.join(path, 'shapes_filtered')
self.erfa_info = os.path.join(path, 'erfa-info.json')
self.chaostreff_info = os.path.join(path, 'chaostreff-info.json')
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'
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'
def sparql_query(query):
headers = {
'Content-Type': 'application/x-www-form-urlencoded',
'User-Agent': USER_AGENT,
'Accept': 'application/sparql-results+json',
}
body = urllib.parse.urlencode({'query': query}).encode()
req = urllib.request.Request('https://query.wikidata.org/sparql', headers=headers, data=body)
with urllib.request.urlopen(req) as resp:
resultset = json.load(resp)
results = {}
for r in resultset.get('results', {}).get('bindings'):
basename = None
url = None
for k, v in r.items():
if k == 'item':
basename = os.path.basename(v['value'])
elif k == 'map':
url = v['value']
results[basename] = url
return results
def fetch_geoshapes(target, shape_urls):
os.makedirs(target, exist_ok=True)
candidates = {}
keep = {}
for item, url in tqdm.tqdm(shape_urls.items()):
try:
with urllib.request.urlopen(url) as resp:
shape = json.load(resp)
if not shape.get('license', 'proprietary').startswith('CC0-'):
# Only include public domain data
continue
candidates.setdefault(item, []).append(shape)
except urllib.error.HTTPError as e:
print(e)
for item, ican in candidates.items():
# Prefer zoom level 4
keep[item] = min(ican, key=lambda x: abs(4-x.get('zoom', 1000)))
for item, shape in keep.items():
with open(os.path.join(target, item + '.json'), 'w') as f:
json.dump(shape, f)
def fetch_wikidata_states(target):
shape_urls = sparql_query('''
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?item ?map WHERE {
# ?item is instance of federal state of germany and has geoshape ?map
?item wdt:P31 wd:Q1221156;
wdt:P3896 ?map
}
''')
print('Retrieving state border shapes')
fetch_geoshapes(target, shape_urls)
def fetch_wikidata_countries(target):
shape_urls = sparql_query('''
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wikibase: <http://wikiba.se/ontology#>
SELECT DISTINCT ?item ?map WHERE {
# ?item is instance of sovereign state, transitively part of europe and has geoshape ?map
# ?item is instance of country or sovereign state
?item wdt:P31 ?stateclass.
# ?item is transitively part of Europe (Contintent) or EEA
?item wdt:P361+ ?euroclass.
# ?item has geoshape ?map (including all non-deprecated results)
?item p:P3896 ?st.
?st ps:P3896 ?map;
MINUS { ?st wikibase:rank wikibase:DeprecatedRank }
FILTER (?stateclass = wd:Q6256 || ?stateclass = wd:Q3624078).
FILTER (?euroclass = wd:Q46 || ?euroclass = wd:Q8932).
}
''')
print('Retrieving country border shapes')
fetch_geoshapes(target, shape_urls)
def filter_boundingbox(source, target, bbox):
files = os.listdir(source)
os.makedirs(target, exist_ok=True)
print('Filtering countries outside the bounding box')
for f in tqdm.tqdm(files):
if not f.endswith('.json') or 'Q183.json' in f:
continue
path = os.path.join(source, f)
with open(path, 'r') as sf:
shapedata = sf.read()
shape = json.loads(shapedata)
keep = False
geo = shape['data']['features'][0]['geometry']
if geo['type'] == 'Polygon':
geo['coordinates'] = [geo['coordinates']]
for poly in geo['coordinates']:
for point in poly[0]:
if point[0] >= bbox[0][0] and point[1] >= bbox[0][1] \
and point[0] <= bbox[1][0] and point[1] <= bbox[1][1]:
keep = True
break
if keep:
break
if keep:
with open(os.path.join(target, f), 'w') as sf:
sf.write(shapedata)
def address_lookup(name, erfa):
locator = Nominatim(user_agent=USER_AGENT)
number = erfa['Chaostreff-Physical-Housenumber']
street = erfa['Chaostreff-Physical-Address']
zipcode = erfa['Chaostreff-Physical-Postcode']
acity = erfa['Chaostreff-Physical-City']
city = erfa['Chaostreff-City'][0]
country = erfa['Chaostreff-Country'][0]
formats = [
# Muttenz, Schweiz
f'{city}, {country}'
]
if zipcode and acity:
# 4132 Muttenz, Schweiz
formats.insert(0, f'{zipcode[0]} {acity[0]}, {country}')
if zipcode and acity and number and street:
# Birsfelderstrasse 6, 4132 Muttenz, Schweiz
formats.insert(0, f'{street[0]} {number[0]}, {zipcode[0]} {acity[0]}, {country}')
for fmt in formats:
response = locator.geocode(fmt)
if response is not None:
return response.longitude, response.latitude
print(f'No location found for {name}, tried the following address formats:')
for fmt in formats:
print(f' {fmt}')
return None
def fetch_erfas(target, url):
userpw = os.getenv('DOKU_CCC_DE_BASICAUTH')
if userpw is None:
print('Please set environment variable DOKU_CCC_DE_BASICAUTH=username:password')
exit(1)
auth = base64.b64encode(userpw.encode()).decode()
erfas = {}
req = urllib.request.Request(url, headers={'Authorization': f'Basic {auth}'})
with urllib.request.urlopen(req) as resp:
erfadata = json.loads(resp.read().decode())
print('Looking up addresses')
for name, erfa in tqdm.tqdm(erfadata['results'].items()):
location = address_lookup(name, erfa['printouts'])
if location is None:
print(f'WARNING: No location for {name}')
city = erfa['printouts']['Chaostreff-City'][0]
erfas[city] = location
with open(target, 'w') as f:
json.dump(erfas, f)
def compute_bbox(ns):
if ns.bbox is not None:
return [
(min(ns.bbox[0], ns.bbox[2]), min(ns.bbox[1], ns.bbox[3])),
(max(ns.bbox[0], ns.bbox[2]), max(ns.bbox[1], ns.bbox[3]))
]
print('Computing map bounding box')
bounds = []
for path in tqdm.tqdm([ns.cache_directory.erfa_info, ns.cache_directory.chaostreff_info]):
with open(path, 'r') as f:
erfadata = json.load(f)
for lon, lat in erfadata.values():
if len(bounds) == 0:
bounds.append(lon)
bounds.append(lat)
bounds.append(lon)
bounds.append(lat)
else:
bounds[0] = min(bounds[0], lon)
bounds[1] = min(bounds[1], lat)
bounds[2] = max(bounds[2], lon)
bounds[3] = max(bounds[3], lat)
return [
(bounds[0] - ns.bbox_margin, bounds[1] - ns.bbox_margin),
(bounds[2] + ns.bbox_margin, bounds[3] + ns.bbox_margin)
]
class BoundingBox:
def __init__(self, left, top, right=None, bottom=None, *, width=None, height=None, meta=None, base_weight=0):
self.left = left
self.top = top
self.right = right if width is None else left + width
self.bottom = bottom if height is None else top + height
self.meta = meta
self.base_weight = base_weight
self.finished = False
def __contains__(self, other):
if isinstance(other, BoundingBox):
if other.right < self.left or other.left > self.right:
return False
if other.bottom < self.top or other.top > self.bottom:
return False
return True
elif isinstance(other, tuple) or isinstance(other, list):
if len(other) != 2:
raise TypeError()
if self.left > other[0] or self.right < other[0]:
return False
if self.top > other[1] or self.bottom < other[1]:
return False
return True
raise TypeError()
def __add__(self, other):
if not isinstance(other, tuple) and not isinstance(other, list):
raise TypeError()
return BoundingBox(self.left + other[0], self.top + other[1],
self.right + other[0], self.bottom + other[1],
width=None, height=None, meta=self.meta, base_weight=self.base_weight)
def __iadd__(self, other):
if not isinstance(other, tuple) and not isinstance(other, list):
raise TypeError()
self.left += other[0]
self.top += other[1]
self.right += other[0]
self.bottom += other[1]
return self
def __sub__(self, other):
if not isinstance(other, tuple) and not isinstance(other, list):
raise TypeError()
return BoundingBox(self.left - other[0], self.top - other[1],
self.right - other[0], self.bottom - other[1],
width=None, height=None, meta=self.meta, base_weight=self.base_weight)
def __isub__(self, other):
if not isinstance(other, tuple) and not isinstance(other, list):
raise TypeError()
self.left -= other[0]
self.top -= other[1]
self.right -= other[0]
self.bottom -= other[1]
self._weight = None
return self
@property
def width(self):
return self.right - self.left
@property
def height(self):
return self.bottom - self.top
@property
def center(self):
return (self.left + self.width/2, self.top + self.height/2)
def distance2(self, other):
c1 = self.center
c2 = other.center
return (c1[0] - c2[0])**2 + (c1[1] - c2[1])**2
def with_margin(self, margin):
return BoundingBox(self.left - margin, self.top - margin,
self.right + margin, self.bottom + margin,
width=None, height=None, meta=self.meta, base_weight=self.base_weight)
def chebyshev_distance(self, other):
if other in self:
return 0
if isinstance(other, BoundingBox):
if other.left < self.left < other.right or other.left < self.right < other.right:
dh = 0
else:
dh = min(abs(self.left - other.right), abs(self.right - other.left))
if other.top < self.top < other.bottom or other.top < self.bottom < other.bottom:
dv = 0
else:
dv = min(abs(self.top - other.bottom), abs(self.bottom - other.top))
return max(dh, dv)
elif isinstance(other, tuple) or isinstance(other, list):
if self.left < other[0] < self.right:
dh = 0
else:
dh = min(abs(self.left - other[0]), abs(self.right - other[0]))
if self.top < other[1] < self.bottom:
dv = 0
else:
dv = min(abs(self.top - other[1]), abs(self.bottom - other[1]))
return max(dh, dv)
else:
raise TypeError()
def compute_weight(self, other, erfas, chaostreffs, pdist, ns):
w = 0
swm = self.with_margin(pdist)
swe = self.with_margin(ns.dotsize_erfa)
swc = self.with_margin(ns.dotsize_treff)
swme = swm.with_margin(ns.dotsize_erfa)
swmc = swm.with_margin(ns.dotsize_treff)
# I hope these weights are somewhat reasonably balanced...
for o in other:
if o.meta['city'] == self.meta['city']:
continue
if o in self:
if o.finished:
w += 1000
else:
w += 50
else:
w += max(pdist*2 - swc.chebyshev_distance(o), 0)
continue
if o in swm:
if o.finished:
w += 3
else:
w += 1
for city, location in erfas.items():
if city == self.meta['city']:
continue
if location in swe:
w += 1000
else:
w += max(pdist*2 - swe.chebyshev_distance(location), 0)
for city, location in chaostreffs.items():
if city == self.meta['city']:
continue
if location in swc:
w += 1000
else:
w += max(pdist*2 - swc.chebyshev_distance(location), 0)
self._weight = w
@property
def weight(self):
return self._weight + self.base_weight
@property
def is_optimal(self):
return self._weight == 0
def __str__(self):
return f'(({int(self.left)}, {int(self.top)}, {int(self.right)}, {int(self.bottom)}), weight={self.weight})'
def optimize_text_layout(ns, erfas, chaostreffs, size, svg):
font = ImageFont.truetype(ns.font, ns.font_size)
pil = ImageDraw(Image.new('P', (1, 1)))
xheight = -pil.textbbox((0,0), 'x', font=font, anchor='ls')[1]
capheight = -pil.textbbox((0,0), 'A', font=font, anchor='ls')[1]
voffset = - capheight / 2
candidates = {}
for city, location in erfas.items():
text = city
erfax, erfay = location
for rfrom, to in ns.rename:
if rfrom == city:
text = to
break
meta = {'city': city, 'text': text, 'baseline': capheight}
textbox = pil.textbbox((0, 0), text, font=font, anchor='ls') # left, baseline at 0,0
mw, mh = textbox[2] - textbox[0], textbox[3] - textbox[1]
rbox = BoundingBox(erfax + ns.font_distance, erfay + voffset, width=mw, height=mh, meta=meta)
lbox = BoundingBox(erfax - ns.font_distance - mw, erfay + voffset, width=mw, height=mh, meta=meta)
if erfax > 0.8 * size[0]:
rbox.base_weight += 0.001
else:
lbox.base_weight += 0.001
candidates[city] = [lbox, rbox]
for i in range(-2, 3):
if i == 0:
continue
candidates[city].append(lbox + (0, ns.dotsize_erfa*i))
candidates[city].append(rbox + (0, ns.dotsize_erfa*i))
candidates[city].extend([
BoundingBox(erfax - mw/2, erfay - ns.font_distance - mh, width=mw, height=mh, meta=meta, base_weight=0.001),
BoundingBox(erfax - mw/2, erfay + ns.font_distance, width=mw, height=mh, meta=meta, base_weight=0.001),
BoundingBox(erfax - ns.dotsize_erfa, erfay - ns.font_distance - mh, width=mw, height=mh, meta=meta, base_weight=0.002),
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, pdist=max(ns.font_distance, xheight), ns=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, pdist=max(ns.font_distance, xheight), ns=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))
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)
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
if city in erfas:
# There is an edge case where when a space changed states between Erfa and Chaostreff, the
# Semantic MediaWiki engine returns this space as both an Erfa and a Chaostreff, resulting
# in glitches in the rendering. As a workaround, here we simply assume that it's an Erfa.
continue
xt, yt = transformer.transform(*location)
chaostreffs[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()