def run(self):
location = 'Australia/Googong'
response_astro = None
# WundergroundSunsetSunriseThread.__start_sthread(self)
while not GlobalSettings.WunderExitFlag:
ctime = datetime.datetime.now().time()
# Update at 1 am
# if (ctime.hour == 1) or response_astro is None:
print(self.threadID + ': Updating Weather @ ' +
str(datetime.datetime.now()))
r = weather.Extract(self.api_keys['Wunderground'])
response_astro = r.astronomy(location).data
response_weather = r.daycast(
location).data['simpleforecast']['forecastday'][0]
ctime = response_astro['current_time']
sunrise = response_astro['sunrise']
print(self.threadID + ': Sunrise: ' + str(sunrise['hour']) + ':' +
str(sunrise['minute']))
sunset = response_astro['sunset']
print(self.threadID + ': Sunset: ' + str(sunset['hour']) + ':' +
str(sunset['minute']))
day_high = float(response_weather['high']['celsius'])
print(self.threadID + ': Temp High: ' + str(day_high) + 'C')
day_low = float(response_weather['low']['celsius'])
print(self.threadID + ': Temp Low: ' + str(day_low) + 'C')
if day_high >= self.high_temp or day_high <= self.low_temp:
if int(ctime['hour']) < int(sunrise['hour']):
print(self.threadID + ': Stop')
WundergroundSunsetSunriseThread.__stop_sthread(self)
elif int(ctime['hour']) == int(sunset['hour']):
if int(ctime['minute']) >= int(sunset['minute']):
print(self.threadID + ': Stop')
WundergroundSunsetSunriseThread.__stop_sthread(self)
elif int(ctime['hour']) > int(sunset['hour']):
print(self.threadID + ': Stop')
WundergroundSunsetSunriseThread.__stop_sthread(self)
else:
print(self.threadID + ': Start')
WundergroundSunsetSunriseThread.__start_sthread(self)
else:
print(self.threadID + ': Stop')
WundergroundSunsetSunriseThread.__stop_sthread(self)
WundergroundSunsetSunriseThread.__sleeping(self, 30 * 60)
print(self.threadID + ': Exiting...')
def updateWeather(self):
print(self.name + ': Updating Weather Service')
r = weather.Extract(self.api)
response_astro = r.astronomy(self.location).data
response_weather = r.daycast(
self.location).data['simpleforecast']['forecastday'][0]
temp_current = float(r.today_now(self.location).data['temp_c'])
sunrise = response_astro['sunrise']
sunset = response_astro['sunset']
day_high = float(response_weather['high']['celsius'])
if temp_current > day_high:
day_high = temp_current
day_low = float(response_weather['low']['celsius'])
if temp_current < day_low:
day_low = temp_current
print(self.name + ': Sunrise:\t' + str(sunrise['hour']) + ':' +
str(sunrise['minute']))
print(self.name + ': Sunset:\t' + str(sunset['hour']) + ':' +
str(sunset['minute']))
print(self.name + ': CurTC:\t' + str(temp_current) + 'C')
print(self.name + ': MaxTC:\t' + str(day_high) + 'C')
print(self.name + ': MinTC:\t' + str(day_low) + 'C')
self.weather = \
{
'sunrise': sunrise,
'sunset': sunset,
'temp':
{
'high': day_high,
'low': day_low,
'current': temp_current
}
}
current_time = datetime.datetime.now()
self.update_time = current_time + datetime.timedelta(minutes=30)
logging.debug(targets)
# merge with property data
logging.debug("READING IN 2016 PROPERTIES...")
properties = pd.read_csv("../Input/properties_2016.csv")
logging.debug("MERGING TWO DATASETS")
combined = pd.merge(targets, properties, on=['parcelid'])
logging.debug(combined.head(3).transpose())
# add weather information
import arrow # learn more: https://python.org/pypi/arrow
from WunderWeather import weather # learn more: https://python.org/pypi/WunderWeather
api_key = ''
extractor = weather.Extract(api_key)
for id, row in combined.iterrows():
zip = int(row['regionidzip']).__str__()
date = arrow.get(row['transactiondate'], "YYYY-MM-DD")
logging.debug("{}, {}, {}".format(zip, date, date.format('YYYMMDD')))
date_weather = extractor.date(zip, date.format('YYYYMMDD'))
logging.debug(date_weather)
break
# add house sales information
# Purpose: To scrape all the weather data within the given time range
# and write it into a csv file
#
# command: python3 thisfile output
# output: ../../../data/weather_201507_201606.csv
from WunderWeather import weather
import arrow
import csv
from datetime import date, timedelta
import sys
KEY = '534fe8de0c6c00ce'
LOCATION = 'NY/New York'
EXTRACTOR = weather.Extract(KEY)
COLUMNS = [
'VendorID', 'tpep_pickup_datetime', 'tpep_dropoff_datetime',
'passenger_count', 'trip_distance', 'pickup_longitude', 'pickup_latitude',
'RatecodeID', 'store_and_fwd_flag', 'dropoff_longitude',
'dropoff_latitude', 'payment_type', 'fare_amount', 'extra', 'mta_tax',
'tip_amount', 'tolls_amount', 'improvement_surcharge', 'total_amount'
]
def get_all_dates(start_y, start_m, start_d, end_y, end_m, end_d):
'''
Get all the date time within the given time range.
Input:
int, e.g. 2017, 1, 1, 2017, 12, 31
def getCurrentTemperature(here):
here = "MD/Hagerstown"
extractor = weather.Extract(api_key)
[location,current] = extractor.features(here,(('geolookup',''),('now','')))
# return "Current Temperature in {0} is: {1}" (location.data.city,current.temp_f)
print("Current Temperature in {0} is: {1}" (location.data.city,current.temp_f))