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https://github.com/EDCD/EDMarketConnector.git
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114 lines
4.3 KiB
Python
Executable File
114 lines
4.3 KiB
Python
Executable File
#!/usr/bin/python
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#
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# eddb.io station database
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#
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import cPickle
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import os
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from os.path import dirname, join, normpath
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import sys
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from sys import platform
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from config import config
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class EDDB:
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HAS_MARKET = 1
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HAS_OUTFITTING = 2
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HAS_SHIPYARD = 4
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def __init__(self):
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with open(join(config.respath, 'systems.p'), 'rb') as h:
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self.system_ids = cPickle.load(h)
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with open(join(config.respath, 'stations.p'), 'rb') as h:
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self.station_ids = cPickle.load(h)
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# system_name -> system_id or 0
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def system(self, system_name):
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return self.system_ids.get(system_name, 0) # return 0 on failure (0 is not a valid id)
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# (system_name, station_name) -> (station_id, has_market, has_outfitting, has_shipyard)
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def station(self, system_name, station_name):
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(station_id, flags) = self.station_ids.get((self.system_ids.get(system_name), station_name), (0,0))
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return (station_id, bool(flags & EDDB.HAS_MARKET), bool(flags & EDDB.HAS_OUTFITTING), bool(flags & EDDB.HAS_SHIPYARD))
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#
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# build databases from files systems.json and stations.json from http://eddb.io/api
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#
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if __name__ == "__main__":
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import json
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import requests
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def download(filename):
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r = requests.get('https://eddb.io/archive/v4/' + filename)
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print '\n%s\t%dK' % (filename, len(r.content) / 1024)
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return json.loads(r.content) # let json do the utf-8 decode
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# Ellipsoid that encompasses most of the systems in the bubble (but not outliers like Sothis)
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RX = RZ = 260
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CY = -50
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RY = 300
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RX2 = RX * RX
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RY2 = RY * RY
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RZ2 = RZ * RZ
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def inbubble(x, y, z):
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return (x * x)/RX2 + ((y - CY) * (y - CY))/RY2 + (z * z)/RZ2 <= 1
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# Sphere around Jaques
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JX, JY, JZ = -9530.50000, -910.28125, 19808.12500
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RJ2 = 40 * 40
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def around_jaques(x, y, z):
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return ((x - JX) * (x - JX))/RJ2 + ((y - JY) * (y - JY))/RJ2 + ((z - JZ) * (z - JZ))/RJ2 <= 1
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systems = download('systems.json')
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print '%d\tsystems' % len(systems)
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# system_id by system_name (ignoring duplicate names)
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system_ids = dict([
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(str(s['name']), s['id'])
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for s in systems if s['is_populated'] or (inbubble(s['x'], s['y'], s['z']) and all(ord(c) < 128 for c in s['name'])) or around_jaques(s['x'], s['y'], s['z'])]) # skip unpopulated systems outside the bubble and those with a bogus name
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cut = [s for s in systems if s['is_populated'] and not inbubble(s['x'], s['y'], s['z'])]
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print '\n%d populated systems outside bubble calculation:' % len(cut)
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for s in cut:
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print '%-32s%7d %11.5f %11.5f %11.5f' % (s['name'], s['id'], s['x'], s['y'], s['z'])
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cut = [s for s in systems if inbubble(s['x'], s['y'], s['z']) and system_ids.get(s['name']) is None]
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print '\n%d dropped systems inside bubble calculation:' % len(cut)
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for s in cut:
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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'])
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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']]
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print '\n%d duplicate systems inside bubble calculation:' % len(cut)
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for s in cut:
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print '%-24s%7d %7d %11.5f %11.5f %11.5f' % (s['name'], system_ids[s['name']], s['id'], s['x'], s['y'], s['z'])
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print '\n%d systems around Jacques' % len([s for s in systems if around_jaques(s['x'], s['y'], s['z'])])
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# Hack - ensure duplicate system names are pointing at the more interesting system
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system_ids['Almar'] = 750
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system_ids['Arti'] = 60342
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system_ids['Kamba'] = 10358
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with open('systems.p', 'wb') as h:
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cPickle.dump(system_ids, h, protocol = cPickle.HIGHEST_PROTOCOL)
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print '%d saved systems' % len(system_ids)
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# station_id by (system_id, station_name)
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stations = download('stations.json')
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station_ids = dict([(
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(x['system_id'], str(x['name'])),
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(x['id'],
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(EDDB.HAS_MARKET if x['has_market'] else 0) |
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(EDDB.HAS_OUTFITTING if x['has_outfitting'] else 0) |
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(EDDB.HAS_SHIPYARD if x['has_shipyard'] else 0)))
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for x in stations])
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with open('stations.p', 'wb') as h:
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cPickle.dump(station_ids, h, protocol = cPickle.HIGHEST_PROTOCOL)
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print '%d saved stations' % len(station_ids)
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