def post_single(self):
# pylint: disable=no-member
parser = reqparse.RequestParser()
parser.add_argument('Location',
type=str,
default=None,
help='plz type like the "121.297187,24.943325"')
parser.add_argument('Id',
type=str,
default=None,
help='plz type like the "C1_313020000G_000026"')
args = parser.parse_args()
result_dict = {}
result_dict['ScenicSpotInfo'] = (ScenicSpotInfo.get(args))
for sta in ['STA_AirQuality_v2', 'STA_Rain']:
# check if not have any station location, then insert all.
if (CILocation.objects(station=sta).count() == 0):
CILocation.insert_all(sta)
loc_array = CILocation.get({
**args, 'Station': sta,
'Distance': 0.05
})[0]['location']['coordinates']
sta_info = Datastream.get_station_info(
sta, ','.join(map(str, loc_array)))
result_dict[sta] = sta_info
return {'data': result_dict}
def put(self):
parser = reqparse.RequestParser()
parser.add_argument('url', type=str, default=None)
parser.add_argument('station', type=str, default='STA_Rain')
args = parser.parse_args()
station = args['Station']
return CILocation.insert_all(station)
def post(self):
# pylint: disable=no-member
# 1. 根據 get 得到的 coordinates (121.5359,25.2903) 後,再將該資訊打進以下網址的 Location
# 2. 可得到相關資訊
# http://127.0.0.1:5000/api/location?Location=121.5359,25.2903
parser = reqparse.RequestParser()
parser.add_argument('url', type=str, default=None)
parser.add_argument('Station', type=str, default='STA_Rain')
parser.add_argument('Location',
type=str,
default=None,
required=True,
help='plz type like the 121.4946,24.7783')
args = parser.parse_args()
station = args['Station']
location = args['Location']
# return Datastream.insert_all(station, location)
if (CILocation.objects(station__in=station).count() < 0):
CILocation.insert_all(station)
return Datastream.get_station_info(station, location)
def job(args: dict, q: Queue):
info_dict = {}
info_dict['ScenicSpotInfo'] = (ScenicSpotInfo.get(args))
for sta in stations:
ScenicSpotInfo_Loc = info_dict['ScenicSpotInfo'][0]['Location']
loc_array = CILocation.get({
'Location': ScenicSpotInfo_Loc,
'Station': sta,
'Distance': 0.1
})[0]['location']['coordinates']
sta_info = Datastream.get_station_info(
sta, ','.join(map(str, loc_array)))
info_dict[sta] = sta_info
q.put(info_dict)
def get(self):
# 根據旅遊位置及該旅遊位置的半徑距離，以找出附近的氣象站位置。
# 1. 先將“Location: 旅遊地點經緯度”與”Distance: 旅遊地點半徑範圍“傳送給以下端點
# http://127.0.0.1:5000/api/location?Location=121.55292, 25.27472&Distance=0.05
# 2. 隨後會收到以下結果, 需記下 coordinates 資訊, 以post到下一端點
# [
# {
# "_id": {
# "$oid": "5eef0890db9b76aa90e69ad7"
# },
# "name": "雨量站-01A350-新北市石門區富貴角",
# "description": "雨量站-01A350-新北市石門區富貴角",
# "encodingType": "application/vnd.geo+json",
# "location": {
# "type": "Point",
# "coordinates": [
# 121.5359,
# 25.2903
# ]
# },
# "station": "STA_Rain",
# "_iot_id": 74,
# "_iot_selfLink": "https://sta.ci.taiwan.gov.tw/STA_Rain/v1.0/Locations(74)",
# "HistoricalLocations_iot_navigationLink": "https://sta.ci.taiwan.gov.tw/STA_Rain/v1.0/Locations(74)/HistoricalLocations",
# "Things_iot_navigationLink": "https://sta.ci.taiwan.gov.tw/STA_Rain/v1.0/Locations(74)/Things"
# }
# ]
parser = reqparse.RequestParser()
parser.add_argument('Station', type=str, default="STA_Rain")
parser.add_argument('Location',
type=str,
default=None,
help='plz type like the 121.297187,24.943325')
parser.add_argument('Distance', type=str, default=None)
args = parser.parse_args()
result = CILocation.get(args)
return result
def post(self, **kwargs):
# pylint: disable=no-member
parser = reqparse.RequestParser()
parser.add_argument('Location',
default=None,
type=str,
action='append',
help='plz type like the ["121.297187,24.943325"]')
parser.add_argument('Id[]', default=None, type=str, action='append')
parser.add_argument('Id',
default=None,
type=str,
action='append',
help='plz type like the ["C1_313020000G_000026"]')
raw_args = kwargs.get('args_dict', parser.parse_args())
print('raw_args')
print(raw_args)
if (raw_args['Id'] == None and raw_args['Id[]'] != None):
raw_args['Id'] = raw_args['Id[]']
Inside = 'Location' if raw_args['Location'] else 'Id'
stations = ['STA_AirQuality_v2', 'STA_Rain']
q = Queue()
threads = []
result_list = []
for sta in stations:
# check if not have any station location, then insert all.
if (CILocation.objects(station=sta).count() == 0):
CILocation.insert_all(station=sta)
def job(args: dict, q: Queue):
info_dict = {}
info_dict['ScenicSpotInfo'] = (ScenicSpotInfo.get(args))
for sta in stations:
ScenicSpotInfo_Loc = info_dict['ScenicSpotInfo'][0]['Location']
loc_array = CILocation.get({
'Location': ScenicSpotInfo_Loc,
'Station': sta,
'Distance': 0.1
})[0]['location']['coordinates']
sta_info = Datastream.get_station_info(
sta, ','.join(map(str, loc_array)))
info_dict[sta] = sta_info
q.put(info_dict)
for raw_arg in raw_args[Inside]:
t = threading.Thread(target=job, args=({Inside: raw_arg}, q))
t.start()
threads.append(t)
for thread in threads:
thread.join()
for _ in raw_args[Inside]:
result_list.append(q.get())
# print('Name: {}, Id: {}'.format(a['ScenicSpotInfo'][0]['Name'], a['ScenicSpotInfo'][0]['Id']))
# while raw_args[Inside]:
# args = {Inside: raw_args[Inside].pop()}
# info_dict = {}
# info_dict['ScenicSpotInfo'] = (ScenicSpotInfo.get(args))
# for sta in ['STA_AirQuality_v2', 'STA_Rain']:
# ScenicSpotInfo_Loc = info_dict['ScenicSpotInfo'][0]['Location']
# loc_array = CILocation.get({'Location': ScenicSpotInfo_Loc, 'Station': sta, 'Distance': 0.05})[0]['location']['coordinates']
# sta_info = Datastream.get_station_info(sta, ','.join(map(str, loc_array)))
# info_dict[sta] = sta_info
# result_list.append(info_dict)
# print([ rl['ScenicSpotInfo'][0]['Location'] for rl in result_list])
return {'data': result_list}
def delete(self):
result = CILocation.delete_all()
return {'collection': result, 'status': "successed"}