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Download eddb data automatically

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This commit is contained in:
Jonathan Harris 2016-09-07 11:37:36 +01:00
parent 3bfa67663a
commit 288b4b4ff6
1 changed files with 12 additions and 5 deletions

17
eddb.py

@ -39,6 +39,12 @@ class EDDB:
if __name__ == "__main__":
import json
import requests
def download(filename):
r = requests.get('https://eddb.io/archive/v4/' + filename)
print '\n%s\t%dK' % (filename, len(r.content) / 1024)
return json.loads(r.content) # let json do the utf-8 decode
# Ellipsoid that encompasses most of the systems in the bubble (but not outliers like Sothis)
RX = RZ = 260
@ -59,7 +65,7 @@ if __name__ == "__main__":
def around_jaques(x, y, z):
return ((x - JX) * (x - JX))/RJ2 + ((y - JY) * (y - JY))/RJ2 + ((z - JZ) * (z - JZ))/RJ2 <= 1
systems = json.load(open('systems.json'))
systems = download('systems.json')
print '%d\tsystems' % len(systems)
# system_id by system_name (ignoring duplicate names)
@ -70,30 +76,31 @@ if __name__ == "__main__":
cut = [s for s in systems if s['is_populated'] and not inbubble(s['x'], s['y'], s['z'])]
print '\n%d populated systems outside bubble calculation:' % len(cut)
for s in cut:
print '%s \t%10.5f, %10.5f, %10.5f' % (s['name'], s['x'], s['y'], s['z'])
print '%-32s%7d %11.5f %11.5f %11.5f' % (s['name'], s['id'], s['x'], s['y'], s['z'])
cut = [s for s in systems if inbubble(s['x'], s['y'], s['z']) and system_ids.get(s['name']) is None]
print '\n%d dropped systems inside bubble calculation:' % len(cut)
for s in cut:
print '%s \t%10.5f, %10.5f, %10.5f' % (s['name'].encode('utf-8'), s['x'], s['y'], s['z'])
print '%s%s%7d %11.5f %11.5f %11.5f' % (s['name'].encode('utf-8'), ' '*(32-len(s['name'])), s['id'], s['x'], s['y'], s['z'])
cut = [s for s in systems if (s['is_populated'] or inbubble(s['x'], s['y'], s['z'])) and system_ids.get(s['name']) and system_ids[s['name']] != s['id']]
print '\n%d duplicate systems inside bubble calculation:' % len(cut)
for s in cut:
print '%s \t%10.5f, %10.5f, %10.5f' % (s['name'].encode('utf-8'), s['x'], s['y'], s['z'])
print '%-24s%7d %7d %11.5f %11.5f %11.5f' % (s['name'], system_ids[s['name']], s['id'], s['x'], s['y'], s['z'])
print '\n%d systems around Jacques' % len([s for s in systems if around_jaques(s['x'], s['y'], s['z'])])
# Hack - ensure duplicate system names are pointing at the more interesting system
system_ids['Almar'] = 750
system_ids['Arti'] = 60342
system_ids['Kamba'] = 10358
with open('systems.p', 'wb') as h:
cPickle.dump(system_ids, h, protocol = cPickle.HIGHEST_PROTOCOL)
print '%d saved systems' % len(system_ids)
# station_id by (system_id, station_name)
stations = json.load(open('stations.json'))
stations = download('stations.json')
station_ids = dict([(
(x['system_id'], str(x['name'])),
(x['id'],