def getWeatherLocation(address):
'gets weather based on the address of the location'
lat, lng = geocoding(address)
lat = float('%.2f' %lat)
lng = float('%.2f' %lng)
weather, param_list = getWeatherGPS(lat, lng)
return weather, param_list
def weatherdata():
# using_current_location = int(bool(request.args.get('CURRENT_LOCATION')))
location = request.args.get('location')
original_location = location
geocode = geocoding(location)
request_url = generate_weather_url(geocode['coords'])
print(request_url)
forecast_request_tries = 0
max_forecast_request_tries = 10
try:
forecast = requests.get(request_url).json()
forecast = forecast.get('properties')
except json.decoder.JSONDecodeError:
return redirect(url_for('weatherdata', **request.args))
if forecast: forecast = forecast.get('periods')
while not forecast:
forecast = requests.get(request_url).json().get('properties')
if forecast: forecast = forecast.get('periods')
forecast_request_tries += 1
if forecast_request_tries >= max_forecast_request_tries:
flash('Something went wrong.')
return redirect(url_for('index', **request.args))
forecast_data = forecast[0:15]
return render_template('weatherdata.html',
forecast=forecast,
address=geocode['string'],
data=forecast_data,
location=location,
link_location=original_location)
def specific_day(date, location):
date_arr = date.split('-')
months = [
'January', 'February', 'March', 'April', 'May', 'June', 'July',
'August', 'September', 'October', 'November', 'December'
]
day = date_arr[2]
month = months[int(date_arr[1]) - 1]
year = date_arr[0]
date_string = f'{month} {day}, {year}'
geocode = geocoding(location)
request_url = generate_weather_url(geocode['coords'], hourly=True)
try:
forecast_request = requests.get(request_url).json()
forecast_request = forecast_request.get('properties')
except json.decoder.JSONDecodeError:
return redirect(url_for('weatherdata', date=date, location=location))
if forecast_request: forecast_request = forecast_request.get('periods')
forecast_request_tries = 0
max_forecast_request_tries = 10
while not forecast_request:
forecast_request = requests.get(request_url).json().get('properties')
if forecast_request: forecast_request = forecast_request.get('periods')
forecast_request_tries += 1
if forecast_request_tries >= max_forecast_request_tries:
flash('Something went wrong.')
print(requests.get(request_url).json())
return redirect(url_for('index'))
if session.get('DONT_SHOW_NIGHT'):
forecast = [
x for x in forecast_request
if x['startTime'].split('T')[0] == date and x['isDaytime'] == True
]
else:
forecast = [
x for x in forecast_request if x['startTime'].split('T')[0] == date
]
return render_template('hourly.html',
date=date,
location=location,
coords=geocode['coords'],
forecast=forecast,
date_string=date_string,
link_location=location,
address_string=geocode['string'],
dont_show_night=session.get('DONT_SHOW_NIGHT'))
def post():
form = addressform(request.form)
latlng = geocoding(form.address.data)
if request.method == 'POST' and form.validate() and latlng!=0:
food,shop = hotpepper(latlng)
address = form.address.data
form = addressform()
return render_template('index.html',form=form,address=address,food=food,shop=shop)
else:
form=addressform()
return render_template('index.html',form=form,shop=0,address=0)
给每一行的数据都添加一项坐标
'''
import csv # pip install csvfile
import geocoding
''' 配置 '''
paths = [] # 文件列表
path_list = 2 # 下标
for path in paths:
# path = '钱眼网\钱眼网企业资料_电脑互联网.csv' # 文件名
print('正在操作%s' % path)
new_path = '已完成\\' + path
key = '40fe8f7ca0626fe71fe12bdc54922ded'
gao_api = geocoding.geocoding(key)
with open(path, 'r', encoding="utf-8") as csvFile:
rows = csv.reader(csvFile)
with open(new_path, 'w', encoding="utf-8") as f:
writer = csv.writer(f)
for row in rows:
if row[path_list] == '企业地址':
row.append("地址坐标")
writer.writerow(row)
else:
if len(row) >= (path_list + 1):
g = gao_api.index(row[path_list], 1)
row.append(g)
writer.writerow(row)
def main():
geocoding()
df = np.array(pd.read_csv('locations_kml.csv', header=None))
baixa_imagem(df[0][2], df[0][3])
def main(address):
hotpepper(geocoding(address))
from get_cities import get_cities from geocoding import geocoding get_cities() geocoding()
