#!/usr/bin/python3

#

# ENV VARS:

# ARI_MONGO_URI

# ARI_CREDS

#

#

import json

import getopt # for parsing cli args

import sys # for parsing cli args

import os # for reading env vars

import requests # for making http requests

from pymongo import MongoClient

from mailer import Mailer

from mailer import Message

from postmark import PMMail

# datestr = datestr + " {}".format( date.today().year )

# tmpdate = datetime.strptime(datestr, "%b %d %Y")

# return tmpdate.strftime("%m/%d/%y")

# https://docs.python.org/3.3/library/datetime.html#strftime-strptime-behavior

from datetime import date, datetime, timedelta, timezone

import pytz

#

# API: https://www.dlitz.net/software/pycrypto/api/current/

#

from Crypto.Cipher import AES

from Crypto import Random

import base64

#

# Print to STDOUT

#

def logTrace( *objs ):

print(*objs)

#

# Print to STDERR

#

def logError( *objs ):

print( *objs, file=sys.stderr )

#

# Prints to STDERR

#

def logInfo( *objs ):

logError( *objs )

#

# Parse command line args

#

# @return a dictionary of opt=val

#

def parseArgs():

return retMe

#

# Verify the args map contains the given required_args

#

# @return args

#

# @throws RuntimeError if required_arg is missing.

#

def verifyArgs( args, required_args ):

return args

#

# Write the given json object to the given file

#

def writeJson( jsonObj, filename ):

f.close()

#

# @return a jsonobj as read from the given json file

#

def readJson( filename ):

return jsonObj

#

# Send notification!

# Note: need to enable "less secure apps" in gmail: https://www.google.com/settings/security/lesssecureapps

#

def sendNotificationViaGmail( fromAddr, fromPass, toAddr, subject, msg):

sender.send(message)

#

# Send notification!

# Note: need to enable "less secure apps" in gmail: https://www.google.com/settings/security/lesssecureapps

#

def sendNotificationViaPostmark( fromAddr, toAddr, subject, msg):

message.send()

#

# Send an email.

#

def sendEmail(args):

args['--msg'] )

#

# @return a ref to the mongo db by the given name.

#

def getMongoDb( mongoUri ):

return mongoClient[dbname]

#

#

# {

# "response": {

# "version":"0.1",

# "termsofService":"http://www.wunderground.com/weather/api/d/terms.html",

# "features": {

# "alerts": 1 ,

# "hourly": 1

# }

# },

# "hourly_forecast": [

# {

# "FCTTIME": {

# "hour": "18",

# "hour_padded": "18",

# "min": "00",

# "min_unpadded": "0",

# "sec": "0",

# "year": "2016",

# "mon": "4",

# "mon_padded": "04",

# "mon_abbrev": "Apr",

# "mday": "21",

# "mday_padded": "21",

# "yday": "111",

# "isdst": "1",

# "epoch": "1461283200",

# "pretty": "6:00 PM MDT on April 21, 2016",

# "civil": "6:00 PM",

# "month_name": "April",

# "month_name_abbrev": "Apr",

# "weekday_name": "Thursday",

# "weekday_name_night": "Thursday Night",

# "weekday_name_abbrev": "Thu",

# "weekday_name_unlang": "Thursday",

# "weekday_name_night_unlang": "Thursday Night",

# "ampm": "PM",

# "tz": "",

# "age": "",

# "UTCDATE": ""

# },

# "temp": {"english": "62", "metric": "17"},

# "dewpoint": {"english": "37", "metric": "3"},

# "condition": "Clear", <----------------- https://www.wunderground.com/weather/api/d/docs?d=resources/phrase-glossary

# "icon": "clear",

# "icon_url":"http://icons.wxug.com/i/c/k/clear.gif",

# "fctcode": "1", <----------------- https://www.wunderground.com/weather/api/d/docs?d=resources/phrase-glossary

# "sky": "13",

# "wspd": {"english": "6", "metric": "10"},

# "wdir": {"dir": "S", "degrees": "186"},

# "wx": "Sunny",

# "uvi": "1",

# "humidity": "39",

# "windchill": {"english": "-9999", "metric": "-9999"},

# "heatindex": {"english": "-9999", "metric": "-9999"},

# "feelslike": {"english": "62", "metric": "17"},

# "qpf": {"english": "0.0", "metric": "0"},

# "snow": {"english": "0.0", "metric": "0"},

# "pop": "0",

# "mslp": {"english": "30.04", "metric": "1017"}

# },

# {

# ...

# }

# ],

# "query_zone": "039",

# "alerts": [

# {

# "type": "HEA",

# "description": "Heat Advisory",

# "date": "11:14 am CDT on July 3, 2012",

# "date_epoch": "1341332040",

# "expires": "7:00 AM CDT on July 07, 2012",

# "expires_epoch": "1341662400",

# "message": "\u000A...Heat advisory remains in effect until 7 am CDT Saturday...\u000A\u000A* temperature...heat indices of 100 to 105 are expected each \u000A afternoon...as Max temperatures climb into the mid to upper \u000A 90s...combined with dewpoints in the mid 60s to around 70. \u000A Heat indices will remain in the 75 to 80 degree range at \u000A night. \u000A\u000A* Impacts...the hot and humid weather will lead to an increased \u000A risk of heat related stress and illnesses. \u000A\u000APrecautionary/preparedness actions...\u000A\u000AA heat advisory means that a period of hot temperatures is\u000Aexpected. The combination of hot temperatures and high humidity\u000Awill combine to create a situation in which heat illnesses are\u000Apossible. Drink plenty of fluids...stay in an air-conditioned\u000Aroom...stay out of the sun...and check up on relatives...pets...\u000Aneighbors...and livestock.\u000A\u000ATake extra precautions if you work or spend time outside. Know\u000Athe signs and symptoms of heat exhaustion and heat stroke. Anyone\u000Aovercome by heat should be moved to a cool and shaded location.\u000AHeat stroke is an emergency...call 9 1 1.\u000A\u000A\u000A\u000AMjb\u000A\u000A\u000A",

# "phenomena": "HT",

# "significance": "Y",

# "ZONES": [

# {

# "state":"UT",

# "ZONE":"001"

# }

# ],

# "StormBased": {

# "vertices":[

# {

# "lat":"38.87",

# "lon":"-87.13"

# },

# {

# "lat":"38.89",

# "lon":"-87.13"

# },

# {

# "lat":"38.91",

# "lon":"-87.11"

# },

# {

# "lat":"38.98",

# "lon":"-86.93"

# },

# {

# "lat":"38.87",

# "lon":"-86.69"

# },

# {

# "lat":"38.75",

# "lon":"-86.3"

# },

# {

# "lat":"38.84",

# "lon":"-87.16"

# }

# ],

# "Vertex_count":7,

# "stormInfo": {

# "time_epoch": 1363464360,

# "Motion_deg": 243,

# "Motion_spd": 18,

# "position_lat":38.90,

# "position_lon":-86.96

# }

# }

# }

# ]

# }

#

# Hourly forecast fctcode and condition

# 1 Clear

# 2 Partly Cloudy

# 3 Mostly Cloudy

# 4 Cloudy

# 5 Hazy

# 6 Foggy

# 7 Very Hot

# 8 Very Cold

# 9 Blowing Snow

# 10 Chance of Showers

# 11 Showers

# 12 Chance of Rain

# 13 Rain

# 14 Chance of a Thunderstorm

# 15 Thunderstorm

# 16 Flurries

# 17 OMITTED

# 18 Chance of Snow Showers

# 19 Snow Showers

# 20 Chance of Snow

# 21 Snow

# 22 Chace of Ice Pellets

# 23 Ice Pellets

# 24 Blizzard

#

#

# @return the data in a dict

# @throws raise_for_status() if a non-200 status_code

#

def fetchWeatherData(zipcode):

r.raise_for_status()

#

# condition - icon - coarse

# Chance of Flurries chanceflurries --> snow

# Chance of Rain chancerain --> rain

# Chance Rain chancerain --> rain

# Chance of Freezing Rain chancesleet --> snow

# Chance of Sleet chancesleet --> snow

# Chance of Snow chancesnow --> snow

# Chance of Thunderstorms chancetstorms --> tstorms

# Chance of a Thunderstorm chancetstorms --> tstorms

# Clear clear --> sunny

# Cloudy cloudy --> cloudy

# Flurries flurries --> snow

# Fog fog --> rain

# Haze hazy --> sunny

# Mostly Cloudy mostlycloudy --> cloudy

# Mostly Sunny mostlysunny --> sunny

# Partly Cloudy partlycloudy --> cloudy

# Partly Sunny partlysunny --> sunny

# Freezing Rain sleet --> snow

# Rain rain --> rain

# Sleet sleet --> snow

# Snow snow --> snow

# Sunny sunny --> sunny

# Thunderstorms tstorms --> tstorms

# Thunderstorm tstorms --> tstorms

# Unknown unknown --> sunny

# Overcast cloudy --> cloudy

# Scattered Clouds partlycloudy --> cloudy

#

# @return the more coarse-grained label for the given icon

#

def mapIconToCoarseLabel( icon ):

return iconMap[icon]

#

# http://api.wunderground.com/api/3d32d71a6c117bb4/geolookup/q/80304.json

# {

# "response": {

# "version":"0.1",

# "termsofService":"http://www.wunderground.com/weather/api/d/terms.html",

# "features": {

# "geolookup": 1

# }

# },

# "location": {

# "type":"CITY",

# "country":"US",

# "country_iso3166":"US",

# "country_name":"USA",

# "state":"CO",

# "city":"Boulder",

# "tz_short":"MDT",

# "tz_long":"America/Denver",

# "lat":"40.03531647",

# "lon":"-105.28376770",

# "zip":"80304",

# "magic":"1",

# "wmo":"99999",

# "l":"/q/zmw:80304.1.99999",

# "requesturl":"US/CO/Boulder.html",

# "wuiurl":"http://www.wunderground.com/US/CO/Boulder.html",

# "nearby_weather_stations": {

# ...

# }

# }

# }

#

# @return the tz_short for the given zipcode

#

def fetchTimeZone(zipcode):

return retMe

#

#

# "FCTTIME": {

# "hour": "18",

# "hour_padded": "18",

# "min": "00",

# "min_unpadded": "0",

# "sec": "0",

# "year": "2016",

# "mon": "4",

# "mon_padded": "04",

# "mon_abbrev": "Apr",

# "mday": "21",

# "mday_padded": "21",

# "yday": "111",

# "isdst": "1",

# "epoch": "1461283200",

# "pretty": "6:00 PM MDT on April 21, 2016",

# "civil": "6:00 PM",

# "month_name": "April",

# "month_name_abbrev": "Apr",

# "weekday_name": "Thursday",

# "weekday_name_night": "Thursday Night",

# "weekday_name_abbrev": "Thu",

# "weekday_name_unlang": "Thursday",

# "weekday_name_night_unlang": "Thursday Night",

# "ampm": "PM",

# "tz": "",

# "age": "",

# "UTCDATE": ""

# },

#

# @return FCTTIME formatted as string

#

def formatFCTTIME( fcttime ):

fcttime["tz"])

#

# @return true if there's a tstorm in the given hourly_forecast

#

def isTstorm( hourly_forecast ):

return "tstorm" in hourly_forecast["icon"]

#

# @return true if there's a tstorm in the given set of hourly_forecasts

#

def isTstormInForecast( hourly_forecasts ):

return retMe

#

# Trace weather data

#

def logTraceWeatherData( zipcode, weatherData ):

logTrace( zipcode, alert["type"], alert["date"], alert["expires"] )

#

# @return a tstorm warning message for the given zipcode and hourly forecast

#

# TODO: should i send a new message if the pop changes?

# TODO: what if the forecast goes from tstorm to no tstorm? send update?

#

def buildTstormWarningMessage( zipcode, hourly_forecast ):

return retMe

#

# Upsert msg to db

#

def upsertMessage( db, msg ):

upsert=True )

#

# Upsert msg to db

#

def upsertMessages( db, msgs ):

for msg in msgs:

upsertMessage( db, msg )

#

# @return tstorm warning messages for the given hourly_forecasts

#

def buildTstormWarningMessages( zipcode, hourly_forecasts ):

return retMe

#

# Download data for the given --zipcode and write to --outputfile

#

def downloadWeatherData( args ):

writeJson( weatherData, args["--outputfile"] )

#

# Send the notification msg to the given user

#

def sendMessageToUser( msg, user ):

msg["msg"] )

#

# Send the notification msg to the given set of users

#

def sendMessageToUsers( msg, users ):

for user in users:

sendMessageToUser(msg, user)

#

# @return all msgs marked hasBeenSent=False

#

def getUnsentMessages(db):

retMe = list( db["/ari/messages"].find( { "$or": [ { "hasBeenSent": { "$exists": False } }, { "hasBeenSent" : False } ] } ) )

logTrace("getUnsentMessages: retMe:", json.dumps(retMe))

return retMe

#

# @return all users in the given zipcode

#

def getUsersInZipcode(db, zipcode):

retMe = list( db["/ari/users"].find( { "zipcode": zipcode } ) )

logTrace("getUsersInZipcode: zipcode:", zipcode, "retMe:", json.dumps(retMe))

return retMe

#

# Send all unsent msgs in the queue

# Update msg records to reflect they have been sent

#

def sendNotifications( args ):

upsertMessage(db, msg)

#

# @return true if it's 7am

#

def isTimeForMorningForecast( fcttime ):

return fcttime["hour_padded"] == "07"

#

# @return true if it's 7pm

#

def isTimeForEveningForecast( fcttime ):

return fcttime["hour_padded"] == "19"

#

# @return an array of arrays, hourly_forecasts bucketed according to ari_iconCoarseLabel

#

def consolidateForecasts( hourly_forecasts ):

return retMe

#

# @return a message fragment for the given consolidatedBucket of hourly_forecasts (with same ari_iconCoarseLabel)

#

def buildMessageFragment(consolidatedBucket):

return retMe

#

# @return a morning forecast msg

#

def buildMorningForecastMsg( zipcode, hourly_forecasts):

return retMe

#

# @return a morning forecast msg

#

def buildEveningForecastMsgs( zipcode, hourly_forecasts):

return retMe

#

# @return a morning forecast msg

#

def buildEveningForecastMsg( zipcode, weatherData ):

return {}

#

# Add ari-app specific fields

#

# @return pre-processed weatherData

#

def preProcessWeatherData( weatherData ):

return weatherData

#

# Process the weather data for the given zipcode.

#

def processWeatherData(db, zipcode, weatherData):

upsertMessages( db, msgs )

#

# Fetch weather data from wunderground for each zipcode in db and process it.

#

def fetchAndProcessWeatherData(args):

processWeatherData(db, zipcode, weatherData)

#

# Load weather data from file and process it.

#

def loadAndProcessWeatherData(args):

processWeatherData(db, zipcode, weatherData)

#

# @return a user dict

#

def buildUser(args):

return retMe

#

# Add a user to the db.

#

def addUser(args):

upsert=True )

#

# Fetch the list of distinct zipcodes from the users collection.

#

def getDistinctZipcodes(args):

logTrace("getDistinctZipcodes:", zipcodes)

#

#

#

def playWithDates(args):

logTrace("playWithDates: datetime.now(tz=pytz.timezone([merica/New_York)):", n, n.strftime("%a %m/%d/%Y %H:%M:%S z=%z Z=%Z"))

#

# ---- encryption ----------------------------------------------

#

# @return the string s, padded on the right to the nearest multiple of bs.

# the pad char is the ascii char for the pad length.

#

def pad(s, bs):

retMe = s + (bs - len(s) % bs) * chr(bs - len(s) % bs)

# print("pad: retMe: #" + retMe + "#")

return retMe

#

# @param s a string or byte[] previously returned by pad.

# assumes the pad char is equal to the length of the pad

#

# @return s with the pad on the right removed.

#

def unpad(s):

retMe = s[:-ord(s[len(s)-1:])]

# print("unpad: retMe:", retMe)

return retMe

#

# @param key - key size can be 16, 24, or 32 bytes (128, 192, 256 bits)

# You must use the same key when encrypting and decrypting.

# @param msg - the msg to encrypt

#

# @return base64-encoded ciphertext

#

def encrypt(key, msg):