How to use get_location_info method in lisa

Best Python code snippet using lisa_python

weather_fun.py

Source: weather_fun.py Github

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1import requests2import json3import sys4import os5import matplotlib.pyplot as plt6def send_photo(user_id):7 auth="bot???:????"8 url = "https:/​/​api.telegram.org/​/​sendPhoto".format(auth);9 files = {'photo': open('tmp.png', 'rb')}10 data = {'chat_id' : user_id}11 r= requests.post(url, files=files, data=data)12 print(r.status_code, r.reason, r.content)13chat_id="???" #token of the telegram bot14def six_hr_rain_prob(info,user_id):15 def extract_labels_rainprob(item):16 fig = plt.figure()17 _len = len(item['time']) #how many item in the list18 x_axis = list(range(0,_len))19 x_label=[]20 y_axis=[]21 for detail in item['time']:22 y_axis.append(int(detail['elementValue'][0]['value']))23 x_label.append(detail['startTime'][5:-6])24 plt.plot(x_axis, y_axis)25 plt.ylim(0, 100)26 plt.grid(True)27 plt.xticks(x_axis,x_label,rotation='vertical') #28 plt.savefig("tmp.png")29 return fig30 item = info['weatherElement'][7]31 res = item['description']32 res += "\n----------------------------------------------------------------"33 for detail in item['time']:34 res +="\n{start} ~ {end}\t\t {percent}%".format(start=detail['startTime'], end=detail['endTime'], percent= detail['elementValue'][0]['value'])35 res += "\n----------------------------------------------------------------\n"36 extract_labels_rainprob(item)37 send_photo(user_id)38 os.system("rm tmp.png")39 return "here's the result\n"40def feeling_temperature(info):41 item = info['weatherElement'][2]42 res = item['description'] + '\n----------------------------------------------------------------'43 for detail in item['time']:44 #print("{time}\t\t {temp}°C".format(time=detail['dataTime'], temp= detail['elementValue'][0]['value'])45 res += "\n{time}\t\t {temp}°C".format(time=detail['dataTime'], temp= detail['elementValue'][0]['value'])46 res +="\n----------------------------------------------------------------\n"47 return48def real_temperature(info,user_id):49 def extract_labels_realtemp(item):50 fig = plt.figure()51 _len = len(item['time']) #how many item in the list52 x_axis = list(range(0,_len))53 x_label=[]54 y_axis=[]55 for detail in item['time']:56 y_axis.append(int(detail['elementValue'][0]['value']))57 x_label.append(detail['dataTime'][5:-6])58 plt.plot(x_axis, y_axis)59 plt.ylim(min(y_axis)-3, max(y_axis)+3)60 plt.grid(True)61 plt.xticks(x_axis,x_label,rotation='vertical') #62 plt.savefig("tmp.png")63 return fig64 item = info['weatherElement'][3]65 #print(item['description'])66 res = item['description'] + '\n----------------------------------------------------------------'67 #print('----------------------------------------------------------------')68 for detail in item['time']:69 #print("{time}\t\t {temp}°C".format(time=detail['dataTime'], temp= detail['elementValue'][0]['value']))70 res += "\n{time}\t\t {temp}°C".format(time=detail['dataTime'], temp= detail['elementValue'][0]['value'])71 res +="\n----------------------------------------------------------------\n"72 extract_labels_realtemp(item)73 send_photo(user_id)74 os.system("rm tmp.png")75 return res76def whole(fun=0,city="新竹市東區",user_id=0): #function => 0 for temp, 1 for six_hr_rain, 2 for both77 auth_code='???'78 if city=="新竹市東區":79 res = requests.get("https:/​/​opendata.cwb.gov.tw/​api/​v1/​rest/​datastore/​F-D0047-053?Authorization={}&limit=3&offset=0&format=JSON&sort=time".format(auth_code))80 parsed_result=json.loads(res.text)81 get_location_info = parsed_result['records']['locations'][0]['location'][1]82 if city=="台北市信義區":83 res = requests.get("https:/​/​opendata.cwb.gov.tw/​api/​v1/​rest/​datastore/​F-D0047-061?Authorization={}&limit=3&offset=0&format=JSON&sort=time&locationName=信義區".format(auth_code))84 parsed_result=json.loads(res.text)85 get_location_info = parsed_result['records']['locations'][0]['location'][0]86 if city=="台北市南港區":87 res = requests.get("https:/​/​opendata.cwb.gov.tw/​api/​v1/​rest/​datastore/​F-D0047-061?Authorization={}&limit=3&offset=0&format=JSON&sort=time&locationName=南港區".format(auth_code))88 parsed_result=json.loads(res.text)89 get_location_info = parsed_result['records']['locations'][0]['location'][0]90 if city=='新北市汐止區':91 res = requests.get("https:/​/​opendata.cwb.gov.tw/​api/​v1/​rest/​datastore/​F-D0047-069?Authorization={}&limit=3&offset=0&format=JSON&sort=time&locationName=汐止區".format(auth_code))92 parsed_result=json.loads(res.text)93 get_location_info = parsed_result['records']['locations'][0]['location'][0]94 if city=='基隆市中山區': 95 res = requests.get("https:/​/​opendata.cwb.gov.tw/​api/​v1/​rest/​datastore/​F-D0047-049?Authorization={}&format=JSON&limit=3&offset=0&format=JSON&sort=time&locationName=%E4%B8%AD%E5%B1%B1%E5%8D%80".format(auth_code))96 parsed_result=json.loads(res.text)97 get_location_info = parsed_result['records']['locations'][0]['location'][0]98 if fun==0:99 _str = real_temperature(get_location_info,user_id)100 elif fun==1:101 _str = six_hr_rain_prob(get_location_info,user_id)102 elif fun==2:103 _str = six_hr_rain_prob(get_location_info,user_id) + real_temperature(get_location_info,user_id)...

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event_csv_row.py

Source: event_csv_row.py Github

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...25 throwable_string = throwable_string.replace("\"", "\\\"")26 throwable_string = throwable_string.replace("\t", "\\\t")27 28 csv_row += self._separator + self._encloser.enclose(throwable_string)29 csv_row += self._separator + self._encloser.enclose(self._event.get_location_info().get_class())30 csv_row += self._separator + self._encloser.enclose(self._event.get_location_info().get_method())31 csv_row += self._separator + self._encloser.enclose(self._event.get_location_info().get_file())32 csv_row += self._separator + self._encloser.enclose(self._event.get_location_info().get_line())...

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location.py

Source: location.py Github

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1import requests2def get_location_info():3 return requests.get("https:/​/​freegeoip.net/​json").json()4if __name__ == "__main__":...

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