def get(self):
"""
Return carshare lots and data around the point defined by (x, y)
"""
args = carshare_parser.parse_args()
city = City.get(args['longitude'], args['latitude'])
if not city:
api.abort(404, "no feature found")
res = Carshares.get_lots_within(city, args['longitude'],
args['latitude'], args['radius'],
args['company'] or False)
if not res and args["nearest"]:
res = Carshares.get_lots_nearest(city, args["longitude"],
args["latitude"], args["nearest"],
args['company'] or False)
return FeatureCollection([
Feature(id=feat[0],
geometry=feat[1],
properties={
field: feat[num]
for num, field in enumerate(
Carshares.lot_properties[2:], start=2)
}) for feat in res
]), 200
def get(self):
"""
Returns slots around the point defined by (x, y)
"""
args = slots_parser.parse_args()
args['compact'] = args['compact'] not in ['false', 'False', False]
args['carsharing'] = args['carsharing'] not in [
'false', 'False', False
]
# push map search data to analytics
Analytics.add_pos_tobuf("slots", g.user.id, args["latitude"],
args["longitude"], args["radius"])
city = City.get(args['longitude'], args['latitude'])
if not city:
api.abort(404, "no feature found")
res = Slots.get_within(city, args['longitude'], args['latitude'],
args['radius'], args['duration'], slot_props,
args['checkin'], args['permit'],
args['carsharing'])
return FeatureCollection([
Feature(id=feat['id'],
geometry=feat['geojson'],
properties=cpt_props(feat)
if args['compact'] else nrm_props(feat)) for feat in res
]), 200
def post(self):
"""
Add a new checkin
"""
args = post_checkin_parser.parse_args()
res = Checkins.add(g.user.id, args['slot_id'])
if not res:
api.abort(404, "No slot existing with this id")
return res, 201
def get(self, id):
"""
Returns the parking slot corresponding to the id
"""
res = Slots.get_byid(id, slot_props)
if not res:
api.abort(404, "feature not found")
res = res[0]
return Feature(id=res[0],
geometry=res[1],
properties={
field: res[num]
for num, field in enumerate(slot_props[2:], start=2)
}), 200
def get(self, id):
"""
Returns the parking slot corresponding to the id
"""
args = slot_parser.parse_args()
args['filter'] = args['filter'] not in ['false', 'False', False]
res = Slots.get_byid(id, slot_props, args['filter'], args['checkin'],
args['permit'])
if not res:
api.abort(404, "feature not found")
res = res[0]
return Feature(id=res[0],
geometry=res[1],
properties={
field: res[num]
for num, field in enumerate(slot_props[2:], start=2)
}), 200
def get(self):
"""
Return parking lots and garages around the point defined by (x, y)
"""
args = parking_lot_parser.parse_args()
if not args.get("latitude") and not args.get(
"longitude") and not args.get("partner_id"):
return "Requires either lat/long or partner_id", 400
if args.get("partner_id"):
res = ParkingLots.get_bypartnerid(args.get("partner_name"),
args["partner_id"])
else:
# push map search data to analytics
Analytics.add_pos_tobuf("lots", g.user.id, args["latitude"],
args["longitude"], args["radius"])
city = City.get(args['longitude'], args['latitude'])
if not city:
api.abort(404, "no feature found")
res = ParkingLots.get_within(args["longitude"], args["latitude"],
args["radius"])
if not res and args["nearest"]:
res = ParkingLots.get_nearest(args["longitude"],
args["latitude"],
args["nearest"])
return FeatureCollection([
Feature(id=feat[0],
geometry=feat[1],
properties={
field: feat[num]
for num, field in enumerate(ParkingLots.properties[2:],
start=2)
}) for feat in res
]), 200
def get(self):
"""
Returns slots around the point defined by (x, y)
"""
args = slot_parser.parse_args()
city = City.get(args['longitude'], args['latitude'])
if not city:
api.abort(404, "no feature found")
res = Slots.get_within(city, args['longitude'], args['latitude'],
args['radius'], args['duration'], slot_props,
args['checkin'], args['permit']
in ['false', False], args['permit'] == 'all')
return FeatureCollection([
Feature(id=feat['id'],
geometry=feat['geojson'],
properties={
"button_location": feat["button_location"],
"rules": feat["rules"],
"way_name": feat["way_name"]
}) for feat in res
]), 200