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build-index.py
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build-index.py
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from urllib import urlopen
from urlparse import urljoin
from re import compile
from csv import DictReader
from sys import argv, stderr
from dateutil import parser
from ModestMaps import mapByExtent
from ModestMaps.Core import Point
from ModestMaps.Geo import Location
from ModestMaps.OpenStreetMap import Provider
provider = Provider()
dimensions = Point(960, 600)
base_url = 'http://osm-metro-extracts.s3.amazonaws.com/log.txt'
extract_pat = compile(r'^((\S+)\.osm\.(bz2|pbf))\s+(\d+)$')
coastshape_pat = compile(r'^((\S+)\.shp\.zip)\s+(\d+)$')
coastline_pat = compile(r'^((\w+)-(latlon|merc)\.tar\.bz2)\s+(\d+)$')
months = '- Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec'.split()
def nice_size(size):
KB = 1024.
MB = 1024. * KB
GB = 1024. * MB
TB = 1024. * GB
if size < KB:
size, suffix = size, ''
elif size < MB:
size, suffix = size/KB, 'KB'
elif size < GB:
size, suffix = size/MB, 'MB'
elif size < TB:
size, suffix = size/GB, 'GB'
else:
size, suffix = size/TB, 'TB'
if size < 10:
return '%.1f %s' % (size, suffix)
else:
return '%d %s' % (size, suffix)
def nice_time(time):
if time < 15:
return 'moments'
if time < 90:
return '%d seconds' % time
if time < 60 * 60 * 1.5:
return '%d minutes' % (time / 60.)
if time < 24 * 60 * 60 * 1.5:
return '%d hours' % (time / 3600.)
if time < 7 * 24 * 60 * 60 * 1.5:
return '%d days' % (time / 86400.)
if time < 30 * 24 * 60 * 60 * 1.5:
return '%d weeks' % (time / 604800.)
return '%d months' % (time / 2592000.)
if __name__ == '__main__':
(index, ) = argv[1:]
index = open(index, 'w')
log = list(urlopen(base_url))
start = parser.parse(log[0][len('# begin, '):])
start = '%s %d, %s' % (months[start.month], start.day, start.year)
files = dict()
coast = dict()
for line in log:
if coastline_pat.match(line):
match = coastline_pat.match(line)
file, slug, prj, size = (match.group(g) for g in (1, 2, 3, 4))
if slug not in coast:
coast[slug] = dict()
coast[slug][prj] = (file, int(size), urljoin(base_url, file))
continue
elif extract_pat.match(line):
match = extract_pat.match(line)
file, slug, ext, size = (match.group(g) for g in (1, 2, 3, 4))
key, slug_file = ext, (file, int(size), urljoin(base_url, file))
elif coastshape_pat.match(line):
match = coastshape_pat.match(line)
file, slug, size = (match.group(g) for g in (1, 2, 3))
key, slug_file = 'coastline', (file, int(size), urljoin(base_url, file))
else:
continue
if slug not in files:
files[slug] = dict()
files[slug][key] = slug_file
#
print >> index, """<!DOCTYPE html>
<html lang="en">
<head>
<title>Metro Extracts</title>
<meta http-equiv="content-type" content="text/html; charset=utf-8">
<link rel="stylesheet" href="style.css" type="text/css" media="all">
</head>
<body>
<h1>Metro Extracts</h1>
<p>
Parts of the <a href="http://www.openstreetmap.org/">OpenStreetMap database</a>
for major world cities and their surrounding areas. The goal of these
extracts is to make it easy to make maps for major world cities, even if
they cross state or national boundaries.
</p>
<p>
Each city includes:
</p>
<ol>
<li>Bzip’ed OpenStreetMap <a href="http://wiki.openstreetmap.org/wiki/.osm">XML data</a> in an <tt>.osm.bz2</tt> file.</li>
<li>Compressed OpenStreetMap <a href="http://wiki.openstreetmap.org/wiki/PBF">binary PBF data</a> in an <tt>.osm.pbf</tt> file.</li>
<li><a href="#coastline">Coastline shapefile</a> extracts of the immediate area in a <tt>.shp.zip</tt> file.</li>
</ol>
<p>
Provided by <a href="http://mike.teczno.com">Michal Migurski</a> on an expected
monthly basis <a href="https://github.com/migurski/Extractotron/">via extractotron</a>.
Contact me <a href="https://github.com/migurski">via Github</a> to request new cities,
or add them directly to
<a href="https://github.com/migurski/Extractotron/blob/master/cities.txt">cities.txt</a>
with a <a href="http://help.github.com/fork-a-repo/">fork</a>-and-<a href="http://help.github.com/send-pull-requests/">pull-request</a>.
</p>
<h2>Updated From <a href="http://planet.openstreetmap.org/">Planet</a> %(start)s</h2>
<ul class="links">""" % locals()
cities = list(DictReader(open('cities.txt'), dialect='excel-tab'))
cities.sort(key=lambda city: (city['group'], city['name']))
last_group = None
for city in cities:
if city['slug'] in files:
if city['group'] != last_group:
print >> index, '<li class="group">%(group)s:</li>' % city
last_group = city['group']
print >> index, '<li class="link"><a href="#%(slug)s">%(name)s</a></li>' % city
print >> index, """</ul>"""
print >> index, """<ul>"""
cities.sort(key=lambda city: city['name'])
for city in cities:
slug = city['slug']
name = city['name']
try:
ul = Location(float(city['top']), float(city['left']))
lr = Location(float(city['bottom']), float(city['right']))
except ValueError:
print >> stderr, 'Failed on %(name)s (%(slug)s)' % city
raise
else:
mmap = mapByExtent(provider, ul, lr, dimensions)
if slug in files:
bz2_file, bz2_size, bz2_href = files[slug]['bz2']
pbf_file, pbf_size, pbf_href = files[slug]['pbf']
list = ('<li class="file"><a href="%s">%s</a> (%s OSM data)</li>' * 2) \
% (bz2_href, bz2_file, nice_size(bz2_size),
pbf_href, pbf_file, nice_size(pbf_size))
coast_file, coast_size, coast_href = files[slug]['coastline']
list += '<li class="file"><a href="%s">%s</a> (%s coastline)</li>' % (coast_href, coast_file, nice_size(coast_size))
center = mmap.pointLocation(Point(dimensions.x/2, dimensions.y/2))
zoom = mmap.coordinate.zoom
href = 'http://www.openstreetmap.org/?lat=%.3f&lon=%.3f&zoom=%d&layers=M' % (center.lat, center.lon, zoom)
print >> index, """
<li class="city">
<a name="%(slug)s" href="%(href)s"><img src="previews/%(slug)s.jpg"></a>
<h3>%(name)s</h3>
<ul>%(list)s</ul>
</li>""" % locals()
print >> index, """</ul>"""
if 'processed_p' in coast:
print >> index, """<h2><a name="coastline">Coastline Shapefiles</a></h2>
<p>
<a href="http://wiki.openstreetmap.org/wiki/Coastline">Coastline</a> objects
in OpenStreetMap are not directly usable for rendering. They must first be
joined into continent-sized polygons by the
<a href="http://wiki.openstreetmap.org/wiki/Coastline_error_checker">coastline error checker</a>
and converted to shapefiles. The files available below are up-to-date,
error-corrected versions of the worldwide coastline generated using the code available from
<a href="http://svn.openstreetmap.org/applications/utils/coastcheck/">Subversion</a>.
</p>
<ul class="coast">
<li><a href="%s">Coastline polygons</a>: closed areas, divided into 100km squares.<br><a href="%s">Mercator</a> (%s) and <a href="%s">unprojected</a> (%s) shapefiles.</li>
<li><a href="%s">Incomplete lines</a>: incomplete coastlines, joined into linestrings.<br><a href="%s">Mercator</a> (%s) and <a href="%s">unprojected</a> (%s) shapefiles.</li>
<li><a href="%s">Error points</a>: points where there are errors.<br><a href="%s">Mercator</a> (%s) and <a href="%s">unprojected</a> (%s) shapefiles.</li>
</ul>""" \
% (
coast['processed_p']['merc'][2],
coast['processed_p']['merc'][2], nice_size(coast['processed_p']['merc'][1]),
coast['processed_p']['latlon'][2], nice_size(coast['processed_p']['latlon'][1]),
coast['processed_i']['merc'][2],
coast['processed_i']['merc'][2], nice_size(coast['processed_i']['merc'][1]),
coast['processed_i']['latlon'][2], nice_size(coast['processed_i']['latlon'][1]),
coast['coastline_p']['merc'][2],
coast['coastline_p']['merc'][2], nice_size(coast['coastline_p']['merc'][1]),
coast['coastline_p']['latlon'][2], nice_size(coast['coastline_p']['latlon'][1])
)
print >> index, """</body></html>"""