mirror of
https://github.com/KevinMidboe/termForecast.git
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3
.gitignore
vendored
3
.gitignore
vendored
@@ -97,3 +97,6 @@ ENV/
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# mypy
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.mypy_cache/
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.DS_Store
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@@ -1,154 +0,0 @@
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#!/usr/bin/env python3.6
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# -*- coding: utf-8 -*-
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# @Author: KevinMidboe
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# @Date: 2017-07-29 11:56:24
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# @Last Modified by: KevinMidboe
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# @Last Modified time: 2017-07-30 13:17:19
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from fuzzywuzzy import process
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# Find the first word, if it is a noun or a adjective. ✔️
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# Remove the adjective and split if there is a AND ✔️
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# Then match the first noun to list and add that emoji ✔️
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# and then match the second to list and add that emoji ✔️
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# REGEX this bitch up
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symbol_table = {
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'clear sky': '☀️',
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'fair': '🌤',
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'partly cloudy': '⛅️',
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'cloudy': ' ☁️ ',
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'thunder': '⚡️',
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'rain showers': '🌦',
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'rain': '🌧',
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'sleet showers': '🌦 💦',
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'sleet': '🌨 💦',
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'snow showers': '⛅ ❄️',
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'snow': '🌨',
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'rain': '🌧',
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'sleet': '🌧',
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'snow': '🌨',
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'showers': '🌤'
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}
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severity = {
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'rain': ['', ' ☂️', ' ☔️'],
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'sleet': [' 💦 ', ' 💧 ', ' 💧 💦 '],
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'snow': [' ❄️ ', ' ❄️ ❄️ ', ' ❄️ ❄️ ❄️ ']
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}
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class EmojiParser(object):
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def __init__(self, condition_text):
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self.condition_expression = condition_text.lower()
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self.severity = None
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self.nouns = []
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self.weather_nouns = ['cleary sky', 'fair', 'cloudy', 'rain', 'rain showers', 'sleet',
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'sleet showers', 'snow showers', 'thunder', 'snow']
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self.weather_adjectives = {'light': 0, 'normal': 1, 'heavy': 2}
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def __str__(self):
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return str([self.condition_expression, self.severity, self.nouns])
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# Splits and lowers the condition text for easier parsing
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def splitCondition(self, condition):
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return condition.split()
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# Takes a input or uses condition_expression to find adjective in sentence
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def findAdjective(self, sentence=None):
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if sentence is None:
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sentence = self.condition_expression
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# Splits and iterates over each word in sentence
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expression = self.splitCondition(sentence)
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for word in expression:
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if word in self.weather_adjectives:
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# Return the word if matched with weather_adjectives
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return word
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return None
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# Removes the first adjective in the a given sentence
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def removeAdjective(self):
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adjective = self.findAdjective()
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if adjective: # Adjective is not None
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expression = self.splitCondition(self.condition_expression)
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expression.remove(adjective)
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return ' '.join(expression)
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else:
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return self.condition_expression
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def severityValue(self):
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adjective = self.findAdjective()
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if adjective:
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self.severity = self.weather_adjectives[adjective]
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else:
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self.severity = self.weather_adjectives['normal']
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def findWeatherTokens(self):
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# If present removes the leading adjective
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sentence = self.removeAdjective()
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# If multiple tokens/weather_nouns split all between the 'and'
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if 'and' in sentence:
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self.nouns = sentence.split(' and ')
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else:
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self.nouns = [sentence]
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# Use the symbol_table to convert the forecast name to emoji
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def emojify(self, noun):
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return symbol_table[noun]
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# Does as emojify above, but iterates over a list if multiple elements
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def emojifyList(self, noun_list):
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returnList = []
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# TODO use more like a map function?
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for noun in noun_list:
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returnList.append(self.emojify(noun))
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return ' '.join(returnList)
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def findPrimaryForecast(self):
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# Copies the contents not the refrence to the list
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noun_list = list(self.nouns)
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forecast = noun_list.pop(0)
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# Translates to emoji once here instead of twice below
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forecast_emoji = self.emojify(forecast)
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if forecast in severity:
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return ('%s %s' % (forecast_emoji, severity[forecast]))
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else:
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return forecast_emoji
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# Trying to analyze the semantics of the condition text
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def emojifyWeatherForecast(self):
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# Finds the tokens/nouns of weather for the given input text and severity value
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self.findWeatherTokens()
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self.severityValue()
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primary_forecast = self.findPrimaryForecast()
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secondary_forecast = self.emojifyList(self.nouns[1:])
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return ('%s %s' % (primary_forecast, secondary_forecast))
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def convertSematicsToEmoji(self):
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return self.emojifyWeatherForecast()
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def main():
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emojiParser = EmojiParser('Cloudy')
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print(emojiParser.convertSematicsToEmoji())
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if __name__ == '__main__':
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main()
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@@ -1,40 +0,0 @@
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#!/usr/bin/env python3.6
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# -*- coding: utf-8 -*-
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# @Author: KevinMidboe
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# @Date: 2017-07-30 13:53:38
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# @Last Modified by: KevinMidboe
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# @Last Modified time: 2017-07-30 13:53:46
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import itertools
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from threading import Thread
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from time import sleep
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from sys import stdout
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class LoadingAnimation(object):
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def __init__(self):
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self.done = False
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def start(self):
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t = Thread(target=self.animate)
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t.start()
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def animate(self):
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for c in itertools.cycle(['|', '/', '-', '\\']):
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if self.done:
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break
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stdout.write('\rFetching ' + c)
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stdout.flush()
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sleep(0.1)
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def stop(self):
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self.done = True
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def main():
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loadingAnimation = LoadingAnimation()
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loadingAnimation.start()
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sleep(2)
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loadingAnimation.stop()
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stdout.write('\rTemp \n')
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if __name__ == '__main__':
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main()
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@@ -1,127 +0,0 @@
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#!/usr/bin/env python3.6
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# -*- coding: utf-8 -*-
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# @Author: KevinMidboe
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# @Date: 2017-07-27 21:26:53
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# @Last Modified by: KevinMidboe
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# @Last Modified time: 2017-07-30 18:56:27
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# TODO LIST
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# Get coordinates from IP ✔
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# Fetch coordinates from YR ✔
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# Convert coordinates to place name w/ google GeoCode api ✔
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# Parse return data
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# Match weather description to icons ✔
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# Check internet connection in a strict way
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# Add table for time periode
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# Add cache for quicker location for same ip
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import fire, json, geoip2.database, ssl, os
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from yr.libyr import Yr
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from requests import get
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from pprint import pprint
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from sys import stdout
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from emojiParser import EmojiParser
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from loadingAnimation import LoadingAnimation
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class Location(object):
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def __init__(self):
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abspath = os.path.abspath(__file__)
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dname = os.path.dirname(abspath)
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os.chdir(dname)
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self.reader = geoip2.database.Reader('conf/GeoLite2-City.mmdb')
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self.getIP()
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def getIP(self):
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ip = get('https://api.ipify.org').text
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self.ip = self.reader.city(ip)
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def getCoordinates(self):
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lat = self.ip.location.latitude
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long = self.ip.location.longitude
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return [lat, long]
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def getAreaName(self):
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lat, long = self.getCoordinates()
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coordinates = ','.join([str(lat), str(long)])
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areaURL = 'https://maps.googleapis.com/maps/api/geocode/json?&latlng='
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areaAPIResponse = json.loads(get(areaURL + coordinates).text)
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closestArea = areaAPIResponse['results'][0]['address_components']
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area = {}
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for item in closestArea:
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if 'route' in item['types']:
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area['street'] = item['long_name']
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if 'locality' in item['types']:
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area['town'] = item['long_name']
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if 'administrative_area_level_1' in item['types']:
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area['municipality'] = item['long_name']
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if 'country' in item['types']:
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area['country'] = item['long_name']
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return area
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class WeatherForecast(object):
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def __init__(self, area=None):
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# TODO search for area coordinates in a map
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self.area = area
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self.name = None
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self.number = None
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self.variable = None
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def symbolVariables(self, symbol_obj):
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self.name = symbol_obj['@name']
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self.number = symbol_obj['@number']
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self.variable = symbol_obj['@var']
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def parseYrTemperature(self, temperature_obj):
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return temperature_obj['@value'] + ' ' + temperature_obj['@unit']
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def now(self):
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location = Location()
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self.area = location.getAreaName()
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# Create seperate function for formatting
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locationName = '/'.join([self.area['country'], self.area['municipality'], self.area['town'], self.area['street']])
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# Use the defined location name with yr API for location based weather information
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weather = Yr(location_name=locationName)
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now = json.loads(weather.now(as_json=True))
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temperature_output = self.parseYrTemperature(now['temperature'])
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emojiParser = EmojiParser(now['symbol']['@name'])
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weatherIcon_output = emojiParser.convertSematicsToEmoji()
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return ('%s %s' % (temperature_output, weatherIcon_output))
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class TermWeather(object):
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# Add now, forecast as args
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def auto(self):
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loadingAnimation = LoadingAnimation()
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loadingAnimation.start()
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weatherForecast = WeatherForecast()
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forecast = weatherForecast.now()
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loadingAnimation.stop()
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stdout.write('\r%s \n' % forecast)
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def fetch(self, area=None):
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weatherForecast = WeatherForcast(area)
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weatherForecast.now()
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if __name__ == '__main__':
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ssl._create_default_https_context = ssl._create_unverified_context
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fire.Fire(TermWeather())
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5
term_weather.py → term_forecast/term_weather.py
Executable file → Normal file
5
term_weather.py → term_forecast/term_weather.py
Executable file → Normal file
@@ -3,7 +3,7 @@
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# @Author: KevinMidboe
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# @Date: 2017-07-27 21:26:53
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# @Last Modified by: KevinMidboe
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# @Last Modified time: 2017-07-30 14:05:28
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# @Last Modified time: 2017-07-30 19:56:18
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# TODO LIST
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# Get coordinates from IP ✔
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@@ -107,6 +107,9 @@ class WeatherForecast(object):
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class TermWeather(object):
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def __init__(self):
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print('here')
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# Add now, forecast as args
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def auto(self):
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loadingAnimation = LoadingAnimation()
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