def fetch(self, location):
session = requests.Session()
response = session.get('http://sis.jtcx.sh.cn/sisserver?highLight=false'\
'&srctype=USERPOI&eid=9070&extId=&agentId=&tempid=52&config=BESN'\
'&searchName=&cityCode=021&searchType=&number=100&batch=1'\
'&a_k=cb02363e90e02da4b5f3cc9dcc7f5cd0881012bd4ec0dbe0f2b5a87cea3602ad70431a4938633d15'\
'&resType=JSON&enc=utf-8&sr=0&ctx=1&a_nocache=')
data = response2json(response.text)
ret = list()
for poi in data['poilist']:
# if poi['uxml']['INTELLIGTYPE'] != u'高架':
# continue
loc = decode_lonlat(poi['x']), decode_lonlat(poi['y'])
panel = HighwayPanel(name=poi['uxml']['INFORMATION'],
location=loc,
image_url='http://vms.jtcx.sh.cn:8089/VmsPic/vms/%s.gif' % poi['uxml']['INTELLIGID'],
distance=distance(location, loc)
)
ret.append(panel)
ret.sort(key=lambda p:p.distance)
return ret[:10]
def fetch(self, location):
""" Parking space information
Note the offical site don't use location based query but their Mapabc
provider supports actually supports it...
location_encode = (encode_lonlat(location[0]), encode_lonlat(location[1]))
session = requests.Session()
response = session.get('http://sis.jtcx.sh.cn/sisserver?highLight=false'\
'&srctype=USERPOI&eid=9070&extId=&agentId=&tempid=8&config=BESN'\
'&cityCode=021&cenName=&searchType=&number=10&batch=1'\
'&a_k=cb02363e90e02da4b5f3cc9dcc7f5cd0881012bd4ec0dbe0f2b5a87cea3602ad70431a4938633d15'\
'&resType=JSON&enc=utf-8&sr=0&range=800&naviflag=0'\
'&ctx=1&a_nocache=&cenX=%s&cenY=%s' \
% location_encode
)
data = response2json(response.text)
"""
parking_center = ParkingInfoCenter()
parking_center.update()
available = list()
for poi in self._data.itervalues():
try:
info = parking_center.get_parking_info(poi['extid'])
except KeyError:
continue
baidu_loc = poi['baidu_loc']
parkinglot = ParkingLot(name=poi['name'],
location=baidu_loc,
address=poi['address'],
available=info['available'],
total=info['total'],
distance=int(distance(location, poi['location'])),
image_url='http://api.map.baidu.com/staticimage?width=320&height=240¢er=%(lon)s,%(lat)s&scale=1&zoom=18&markers=%(lon)s,%(lat)s&markerStyles=l,P,0x00CCFF' \
% dict(lon=baidu_loc[0], lat=baidu_loc[1]),
timestamp=info['timestamp']
)
available.append(parkinglot)
available.sort(key=lambda p:p.distance)
ret = list()
count = 0
for r in available:
if count > 10:
break
if r.available <= 1 or r.total == 0:
continue
ret.append(r)
count += 1
return ret
