def compute_occlusions(box):
SW, NE = box
points = list(POI.objects(at__geo_within_box=(SW, NE)))
print("Starting", SW, NE, len(points))
for i, p1 in enumerate(points):
for j, p2 in enumerate(points[i+1:]):
coords1, coords2 = p1.at['coordinates'], p2.at['coordinates']
dist = math.sqrt(abs(coords1[0]-coords2[0])**2 + abs(coords1[1]-coords2[1])**2)
occluded_point = p1 if p1.rank < p2.rank else p2
for zoom, spacing in enumerate(zoomspacing):
if dist < spacing:
continue
break
occluded_point.min_zoom = max(occluded_point.min_zoom, zoom)
p1.save()
print("Finished", SW, NE, len(points))
def compute_occlusions(box):
SW, NE = box
points = list(POI.objects(at__geo_within_box=(SW, NE)))
print("Starting", SW, NE, len(points))
for i, p1 in enumerate(points):
for j, p2 in enumerate(points[i + 1:]):
coords1, coords2 = p1.at['coordinates'], p2.at['coordinates']
dist = math.sqrt(
abs(coords1[0] - coords2[0])**2 +
abs(coords1[1] - coords2[1])**2)
occluded_point = p1 if p1.rank < p2.rank else p2
for zoom, spacing in enumerate(zoomspacing):
if dist < spacing:
continue
break
occluded_point.min_zoom = max(occluded_point.min_zoom, zoom)
p1.save()
print("Finished", SW, NE, len(points))
def getPoints():
print(request.json)
zoom = int(request.json.get("zoom", 1))
seen = request.json.get("seen", [])
ensure(seen).is_a_list_of(str)
points = POI.objects(
at__geo_within_box=(request.json["SW"], request.json["NE"]), min_zoom=zoom, name__nin=request.json["seen"]
)
return jsonify(
{
"points": [
{
"name": p.name,
"lat": p.at["coordinates"][1],
"lng": p.at["coordinates"][0],
"abstract": lz4.decompress(p.abstract).decode() if p.abstract else "",
"img": p.img,
}
for p in points
]
}
)
def getPoints():
print(request.json)
zoom = int(request.json.get('zoom', 1))
seen = request.json.get('seen', [])
ensure(seen).is_a_list_of(str)
points = POI.objects(at__geo_within_box=(request.json['SW'],
request.json['NE']),
min_zoom=zoom,
name__nin=request.json['seen'])
return jsonify({
"points": [{
"name":
p.name,
"lat":
p.at['coordinates'][1],
"lng":
p.at['coordinates'][0],
"abstract":
lz4.decompress(p.abstract).decode() if p.abstract else '',
"img":
p.img,
} for p in points]
})
#!/usr/bin/env python3
import os, sys, logging, urllib, time, string, json, argparse, collections, datetime, re, bz2
import lz4
logging.basicConfig(level=logging.DEBUG)
sys.path.append(os.path.join(os.path.dirname(__file__), "lib", "python"))
from carta import (logger, POI)
from mongoengine import *
connect('carta')
POI.drop_collection()
#POI(name='si02', at=[151.0, -34.0]).save()
from xml.etree import cElementTree as ElementTree
#from xml.etree import ElementTree
# See http://en.wikipedia.org/wiki/Template:Coord
#ElementTree.register_namespace('http://www.mediawiki.org/xml/export-0.8/', '')
input_filename = "data/enwiki-latest-pages-articles.xml.bz2"
coord_re = re.compile("{{coord.+?}}")
#{{coord|28|N|2|E|scale:10000000_type:country_region:DZ|format=dms|display=title}}
title, text, coord = None, None, None
def normalize_coords(lat_d, long_d, lat_m=None, lat_s=None, lat_NS=None, long_m=None, long_s=None, long_EW=None):
