def RetriveWeather(unixtime,hr_or_d='hr'):
forecast = Forecastio(config.api_key)
result = forecast.load_forecast(config.san_diego_lat, config.san_diego_long,
time=datetime.datetime.fromtimestamp(unixtime), units="si")
# use GMT 10 am every day . that is where the hourly stats seem to begin from forcast API
if result['success'] is True:
if hr_or_d == 'hr':
#print "===========Hourly Data========="
by_hour = forecast.get_hourly()
#print "Hourly Summary: %s" % (by_hour.summary)
return by_hour.data
else:
by_day = forecast.get_daily()
return by_day.data
#for hourly_data_point in by_hour.data:
# print hourly_data_point
#print "===========Daily Data========="
#by_day = forecast.get_daily()
#print "Daily Summary: %s" % (by_day.summary)
#for daily_data_point in by_day.data:
# print daily_data_point
else:
sys.stderr.write("A problem occurred communicating with the Forecast.io API")
return []
def get_weather(loc):
location = location_list[loc]
FORECASTIO_API_KEY = request.environ.get('FORECASTIO_API_KEY')
forecast = Forecastio(FORECASTIO_API_KEY)
result = forecast.load_forecast(location.latitude, location.longitude)
current = forecast.get_currently()
return '{"location": "%s", "temperature": "%.2f", "summary": "%s", "icon": "%s"}' % (loc, current.temperature, current.summary, current.icon.upper().replace("-", "_"))
def getTemp():
forecast = Forecastio("b8d1abd0c7da6a6c878e64015e78a8ee")
result = forecast.load_forecast(39.960278,
-74.978889,
time=datetime.datetime.now(),
units="si")
if result['success'] is True:
temp = (forecast.get_currently().temperature * 9.0 / 5.0) + 32
return temp
else:
return -99.0
def main():
forecast = Forecastio("YOUR API KEY")
result = forecast.loadForecast(-31.967819,115.87718, time=datetime.datetime.now(), units="si")
print result
if result['success'] is True:
print "===========hour========="
byHour = forecast.getHourly()
print byHour.summary
for hourlyDataPoint in byHour.data:
print hourlyDataPoint
print "===========daily========="
byDay = forecast.getDaily()
print byDay.summary
for dailyDataPoint in byDay.data:
print dailyDataPoint
else:
print "A problem accured communicating with the Forecast.io API"
def main():
forecast = Forecastio("0daceb1cb82c10ac44a5850b009b2124")
result = forecast.load_forecast(-31.967819, 115.87718,
time=datetime.datetime.now(), units="si")
print result
if result['success'] is True:
print "===========Hourly Data========="
by_hour = forecast.get_hourly()
print "Hourly Summary: %s" % (by_hour.summary)
for hourly_data_point in by_hour.data:
print hourly_data_point
print "===========Daily Data========="
by_day = forecast.get_daily()
print "Daily Summary: %s" % (by_day.summary)
for daily_data_point in by_day.data:
print daily_data_point
else:
print "A problem occurred communicating with the Forecast.io API"
def main():
forecast = Forecastio("")
time=datetime.now()
units = "us"
result = forecast.load_forecast(40.697488,-73.979681,time, units)
if result['success'] is True:
#say the greeting:
voice.say(lang.greet(time.hour))
#say the time.
voice.say(lang.time(time))
# print "===========Hourly Data========="
by_hour = forecast.get_hourly()
print "Hourly Summary: %s" % (by_hour.summary)
voice.say(lang.summary_description())
voice.say(by_hour.summary)
else:
print "A problem occurred communicating with the Forecast.io API"
def main():
forecast = Forecastio("YOUR API KEY")
result = forecast.loadForecast(-31.967819, 115.87718,
time=datetime.datetime.now(), units="si")
print result
if result['success'] is True:
print "===========hour========="
byHour = forecast.getHourly()
print byHour.summary
for hourlyDataPoint in byHour.data:
print hourlyDataPoint
print "===========daily========="
byDay = forecast.getDaily()
print byDay.summary
for dailyDataPoint in byDay.data:
print dailyDataPoint
else:
print "A problem accured communicating with the Forecast.io API"
def main():
forecast = Forecastio("YOUR API KEY")
result = forecast.load_forecast(-31.967819,
115.87718,
time=datetime.datetime.now(),
units="si")
print result
if result['success'] is True:
print "===========Hourly Data========="
by_hour = forecast.get_hourly()
print "Hourly Summary: %s" % (by_hour.summary)
for hourly_data_point in by_hour.data:
print hourly_data_point
print "===========Daily Data========="
by_day = forecast.get_daily()
print "Daily Summary: %s" % (by_day.summary)
for daily_data_point in by_day.data:
print daily_data_point
else:
print "A problem accured communicating with the Forecast.io API"
from forecastio import Forecastio
forecast = Forecastio("af533cce990d681fbefe188f902a6619")
result = forecast.load_forecast(48, 13)
byHour = forecast.get_hourly()
print result
for stuff in byHour.data:
print stuff
def main():
forecast = Forecastio("dada3cbcc93a16056f865e34daec507a")
# Get Current weather
result_current = forecast.load_forecast(40.4017,-74.0368,
time=datetime.datetime.now(),units="si")
# Process weather data
if result_current['success'] is True:
byCurrent = forecast.get_currently()
byMinute = forecast.get_minutely()
byHour = forecast.get_hourly()
byDay = forecast.get_daily()
else:
print "A problem occured communicating with the Forecast.io API"
# Print what we want, lining stuff up neatly
print "Right Now: %-10s %s" % ("", byCurrent.summary)
print "Next Hour: %-10s %s" % ("", byMinute.summary)
print "Next 24 Hours: %-6s %s" % ("", byHour.summary)
print "Next 7 Days: %-8s %s" % ("", byDay.summary)
# Get us to our script folder so the link is created in the right place
abspath = os.path.abspath(__file__)
dname = os.path.dirname(abspath)
os.chdir(dname)
# Get our icon and create the link. Go my most specific weather conditions.
iconimg = "None"
if str(byCurrent.icon) == "None":
if str(byMinute.icon) == "None":
if str(byHour.icon) == "None":
iconimg = byDay.icon
else:
iconimg = byHour.icon
else:
iconimg = str(byMinute.icon)
else:
iconimg = str(byCurrent.icon)
# Unlink the current image so it can be relinked or updated
os.unlink("current.png")
if iconimg == "clear-day":
os.symlink("icons/Sun.png","current.png")
if iconimg == "clear":
os.symlink("icons/Sun.png","current.png")
if iconimg == 'clear-night':
os.symlink("icons/Moon.png","current.png")
if iconimg == "rain":
os.symlink("icons/Rain.png","current.png")
if iconimg == 'snow':
os.symlink("icons/Snow.png","current.png")
if iconimg == 'sleet':
os.symlink("icons/Sleet.png","current.png")
if iconimg == 'wind':
os.symlink("icons/Wind.png","current.png")
if iconimg == 'fog':
os.symlink("icons/Fog.png","current.png")
if iconimg == "cloudy":
os.symlink("icons/Cloud.png","current.png")
if iconimg == 'partly-cloudy-day':
os.symlink("icons/Cloud-Day.png","current.png")
if iconimg == 'partly-cloudy-night':
os.symlink("icons/Cloud-Night.png","current.png")
import datetime
#scriptpath = "/Users/harshloomba/Documents/BlueBottle-Assignment/forecastio.py"
import sys
import getpass
# Add the directory containing your module to the Python path (wants absolute paths)
#sys.path.append(os.path.abspath(scriptpath))
# Do the import
from forecastio import Forecastio
city_lat = 37.831106
city_long = -122.254110
# We can do real-time feed by passing the data directly into table
#Key generated by the API
forecast = Forecastio("8aa0dadbf2a543f28dca16c9304b678b")
result = forecast.load_forecast(city_lat, city_long)
#print result
#time duration for which we need the data
start_date = datetime.datetime(2015, 1, 1)
end_date = datetime.datetime(2015, 2, 28)
d = start_date
delta = datetime.timedelta(hours=1)
out = open('/Users/harshloomba/Documents/BlueBottle-Assignment/out1.csv', 'a')
while d <= end_date:
result = forecast.load_forecast(city_lat, city_long, d, lazy=True)
current = forecast.get_currently()
days_list = []
item = current
time = item.time
temperature = item.temperature
#scriptpath = "/Users/harshloomba/Documents/BlueBottle-Assignment/forecastio.py"
import sys
import getpass
# Add the directory containing your module to the Python path (wants absolute paths)
#sys.path.append(os.path.abspath(scriptpath))
# Do the import
from forecastio import Forecastio
city_lat = 37.831106
city_long = -122.254110
# We can do real-time feed by passing the data directly into table
#Key generated by the API
forecast = Forecastio("8aa0dadbf2a543f28dca16c9304b678b")
result = forecast.load_forecast(city_lat,city_long)
#print result
#time duration for which we need the data
start_date = datetime.datetime(2015,1,1)
end_date = datetime.datetime(2015,2,28)
d = start_date
delta = datetime.timedelta(hours=1)
out = open('/Users/harshloomba/Documents/BlueBottle-Assignment/out1.csv', 'a')
while d <= end_date:
result = forecast.load_forecast(city_lat,city_long,d,lazy=True)
current = forecast.get_currently()
days_list = []
item = current
time = item.time
temperature = item.temperature
import datetime
from twython import Twython
from rottentomatoes import RT
from pygeocoder import Geocoder
from forecastio import Forecastio
# TWITTER
T = Twython(
config.CONSUMER_KEY,
config.CONSUMER_SECRET,
config.OAUTH_TOKEN,
config.OAUTH_SECRET
)
# FORECAST.IO
F = Forecastio(config.F_KEY)
# ROTTEN TOMATOES
RT = RT(config.RT_KEY)
# REDDIT
R = praw.Reddit(user_agent="faheembot")
def get_movie_rating(movie):
"""Returns a Rotten Tomatoes score for the given movie title"""
try:
json = RT.search(movie)[0]
title = json['title']
rating = json['ratings']['critics_score']
return (title, rating)
from forecastio import Forecastio
import os
os.system('cls' if os.name=='nt' else 'clear')
forecast = Forecastio("YOUR-API-KEY")
result = forecast.load_forecast(52.502737,13.391036) # your latitude/longitude (this is Berlin)
byHour = forecast.get_hourly()
for hourlyData in byHour.data[:22]: # this is for the next 22 hours
prob = hourlyData.precipProbability
if (prob == None):
prob = 0
prob = int(round(prob * 50))
hour = hourlyData.time.hour
hourstring = str(hour)
# intensity descriptions based on the forecast.io docs
if (hourlyData.precipIntensity == 0):
intensity = ""
elif (hourlyData.precipIntensity < 0.006):
intensity = "very light"
elif (hourlyData.precipIntensity < 0.055):
intensity = "light"
elif (hourlyData.precipIntensity < 0.35):
intensity = "moderate"
else:
intensity = "heavy"
if (hour < 10):
hourstring = "0"+hourstring
print hourstring+" "+(prob*u'\u2588')+((50-prob)*" ")+" "+intensity
print
print " 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0"
raw_input("")
