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ForcastIO Python

A Python wrapper for the darksky.net API (previously forecast.io). This started as port of my other wrapper ForecastIO-Lib-Java but as the languages are so different, this one took its own way. Anyway it is largely inspired by my previous Java wrapper. The API is fully implemented except for something I missed. Further development and improvements will continue.

Tested with the following Python version:

• 2.7
• 3.5
• 3.6
• 3.7-dev

What's new with 0.3

• Logging support.

What's new with 0.21

• Changed api url from old api.forecast.io to the new api.darksky.net

• Some docstrings typos fixed

What's new with 0.2

• Indexes of auto created properties now start in 0, 0 being the current day Issue #s

• If the API key is invalid, an ValueError is raised Issue #3

• Better Python 3 support

• Other improvements

Quick Start:

Install the package:

pip install forecastiopy

Get the coordinates of your location, let's say Lisbon:

>>> Lisbon = [38.7252993, -9.1500364]

Get the current temperature and precipitation probability:

>>> from forecastiopy import *
>>> fio = ForecastIO.ForecastIO(YOUR_APY_KEY, latitude=Lisbon[0], longitude=Lisbon[1])
>>> current = FIOCurrently.FIOCurrently(fio)
>>> print 'Temperature:', current.temperature
Temperature: 11.07
>>> print 'Precipitation Probability:', current.precipProbability
Precipitation Probability: 0.29

What is does:

• It can read Data Points and Data blocks from the darksky.net API.
  • This means it can read Currently, Minutely, Hourly, Daily, Flags and Alerts data.
• It reads all available fields.
• It reads all the available flags.
• It reads all the available alerts.
• It reads all the available errors.

What it does not:

• It does not implements the callback request option.

To Do:

• I'm not sure at this point in time but I'm sure something will appear.
• I need to improve the docstrings

How it works:

The forecastiopy package has 9 classes. The main class is ForecastIO: It handles the connection, build the url and the gets the initial data from the API. The classes FIOCurrently, FIOMinutely, FIOHourly, FIODaily, FIOFlags and FIOAlerts contain the currently, minutely, hourly, daily, flags and alerts reports. Data can be accessed by the returned dictionary or directly by attributes made with reflection magic. See "Usage Examples" below.

Please refer to the API docs https://darksky.net/dev/ for better understanding of the data and for the API key. - You'll need a key to get it to work.

Dependencies:

• requests

Usage Examples

This instantiates the ForecastIO class

from forecastiopy import *

apikey = YOUR_APY_KEY

Lisbon = [38.7252993, -9.1500364]

fio = ForecastIO.ForecastIO(apikey,
                            units=ForecastIO.ForecastIO.UNITS_SI,
                            lang=ForecastIO.ForecastIO.LANG_ENGLISH,
                            latitude=Lisbon[0], longitude=Lisbon[1])
                            
print 'Latitude', fio.latitude, 'Longitude', fio.longitude
print 'Timezone', fio.timezone, 'Offset', fio.offset
print fio.get_url() # You might want to see the request url
print

Get Currently weather data for the requested location

if fio.has_currently() is True:
	currently = FIOCurrently.FIOCurrently(fio)
	print 'Currently'
	for item in currently.get().keys():
		print item + ' : ' + unicode(currently.get()[item])
	print
	# Or access attributes directly
	print currently.temperature
	print currently.humidity
	print
else:
	print 'No Currently data'

Get Minutely weather data for the requested location

if fio.has_minutely() is True:
	minutely = FIOMinutely.FIOMinutely(fio)
	print 'Minutely'
	print 'Summary:', minutely.summary
	print 'Icon:', minutely.icon
	print
	for minute in range(0, minutely.minutes()):
		print 'Minute', minute+1
		for item in minutely.get_minute(minute).keys():
			print item + ' : ' + unicode(minutely.get_minute(minute)[item])
		print
		# Or access attributes directly for a given minute. 
		# minutely.minute_3_time would also work
		print minutely.minute_1_time
		print
	print
else:
	print 'No Minutely data'

Get Hourly weather data for the requested location

if fio.has_hourly() is True:
	hourly = FIOHourly.FIOHourly(fio)
	print 'Hourly'
	print 'Summary:', hourly.summary
	print 'Icon:', hourly.icon
	print
	for hour in range(0, hourly.hours()):
		print 'Hour', hour+1
		for item in hourly.get_hour(hour).keys():
			print item + ' : ' + unicode(hourly.get_hour(hour)[item])
		print
		# Or access attributes directly for a given minute. 
		# hourly.hour_5_time would also work
		print hourly.hour_3_time
		print
	print
else:
	print 'No Hourly data'

Get Daily weather data for the requested location

if fio.has_daily() is True:
	daily = FIODaily.FIODaily(fio)
	print 'Daily'
	print 'Summary:', daily.summary
	print 'Icon:', daily.icon
	print
	for day in range(0, daily.days()):
		print 'Day', day+1
		for item in daily.get_day(day).keys():
			print item + ' : ' + unicode(daily.get_day(day)[item])
		print
		# Or access attributes directly for a given minute. 
		# daily.day_7_time would also work
		print daily.day_5_time
		print
	print
else:
	print 'No Daily data'

Get Flags weather data for the requested location

if fio.has_flags() is True:
	from pprint import pprint
	flags = FIOFlags.FIOFlags(fio)
	pprint(vars(flags))
	# Get units directly
	print flags.units
else:
	print 'No Flags data'

Get Alerts weather data for the requested location It should work just like Flags and the other ones, but at the time I am writting this I could not find a location with alerts to test on.

A note on time The API returns time in unix time. Although this is a good computer format, it is not particulary human-readable So, to get a more human-sane format, you can do soething like this:

import datetime

time = datetime.datetime.fromtimestamp(int(currently.time).strftime('%Y-%m-%d %H:%M:%S')
print 'unix time:', currently.time
print 'time:', time

Output should be like:

unix time: 1448234556
time: 2015-11-22 23:22:36

Issues

To report issues please do it in Github or send me an email.

Documentation

Thanks to pylint complaning, I did wrote docstring for everything!

Why I did this?

For fun. I like weather and weather data. And I like Python.

License

The code is available under the terms of the Eclipse Public License.

Contributors

• Thanks to everyone that contribuited to make this software better.

Acknowledgements

Thanks to JetBrains for providing an open source license for.