blizzard bot!!

README.md

@@ -6,7 +6,7 @@ Two companion Twitter bots, [@snowinginithaca](https://twitter.com/snowinginitha
 
 Snowing in Ithaca is a small passion project, begun summer 2014, when data was collected by looking out the window. After 2017, tweets were compiled by [IFTTT](https://ifttt.com/) triggers. As of December 2020, current weather data is sourced using the [OpenWeather API](https://openweathermap.org/api) and pushed with [Tweepy](https://www.tweepy.org/).
 
-Snowed in Ithaca is a new bot that replies to its companion with the last year it snowed on a given date. Snowed in Ithaca calls on the [NOAA Web Services v2 API](https://www.ncdc.noaa.gov/cdo-web/webservices/v2#gettingStarted) alongside @crvaden's [NOAA API module](https://github.com/crvaden/NOAA_API_v2) and also tweets with Tweepy. This bot also uses [pytz](https://pypi.org/project/pytz/) and [dateutil](https://dateutil.readthedocs.io/en/stable/) to navigate timezones and dates.
+Snowed in Ithaca was created in 2020 to reply to its companion with the last year it snowed on a given date and index NOAA history for the day's snow record. Snowed in Ithaca currently references a CSV containing NOAA data and tweets with Tweepy. This bot also uses [pytz](https://pypi.org/project/pytz/) and [dateutil](https://dateutil.readthedocs.io/en/stable/) to navigate timezones and dates.
 
 NOAA data is sourced from [Cornell University's weather station](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:USC00304174/detail), with local weather data from 1893-present. Snowed in Ithaca only replies if more than half an inch of snow was recorded. Both bots are hosted on [AWS Lambda](https://aws.amazon.com/).
 
@@ -16,8 +16,10 @@ These bots were built as part of coursework for Pratt School of Information INFO
 
 * ow_twit.py
 	* this is the script that runs Snowing in Ithaca
+* blizzard_bot.py
+	* this is the script that currently runs Snowed in Ithaca
 * noaa_reply.py
-	* this is the script that runs Snowed in Ithaca
+	* former Snowed in Ithaca script
 * test-and-setup
 	* this folder contains sections of code that were later combined into the two main scripts
 
@@ -29,10 +31,8 @@ Installing dependencies:
 pip3 install tweepy
 pip3 install pytz
 pip3 install python-dateutil
-git submodule add https://github.com/crvaden/NOAA_API_v2 noaa
 ```
 
 API tokens required:
 * Twitter API v1 token
-* NOAA Web Services v2 API token
 * OpenWeather API token

blizzard_bot.py

@@ -0,0 +1,113 @@
+import tweepy
+import json
+import requests
+import datetime
+import pytz #for timezones
+from noaa.noaa_api_v2 import NOAAData
+from dateutil.relativedelta import relativedelta
+import time
+import csv
+
+with open('keys.json') as f:
+	keys = json.load(f)
+
+consumer_key = keys[0]['twit_api']
+consumer_secret = keys[0]['twit_api_secret']
+access_token = keys[0]['sw_access']
+access_token_secret = keys[0]['sw_access_secret']
+api_token = keys[0]['noaa_api']
+
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+
+api = tweepy.API(auth)
+
+#gets @snowinginithaca most recent tweet
+status = api.user_timeline(id = 'snowinginithaca', count = 1)[0]
+
+#tweepy parser with help from: https://towardsdatascience.com/tweepy-for-beginners-24baf21f2c25
+json_str = json.dumps(status._json)
+parsed = json.loads(json_str)
+data = json.dumps(parsed)
+
+#prints tweet in readable format
+# print(json.dumps(parsed, indent = 4, sort_keys = True))
+
+#pulling out data from tweet
+tweet_id = parsed['id_str']
+fav = parsed['favorited']
+tweet_date = parsed['created_at']
+retweet = parsed['retweeted']
+reply = parsed['in_reply_to_screen_name']
+
+# check if tweet is retweet or reply, terminate script if so
+if retweet == True:
+	exit()
+if reply != None:
+	exit()
+
+# check if tweet has already been replied to, terminate script if so
+if fav == True:
+	exit()
+
+#reformats tweet date to ISO & changes timezone from UTC to eastern
+date_iso = datetime.datetime.strptime(tweet_date, '%a %b %d %H:%M:%S %z %Y')
+date_iso_est = date_iso.astimezone(pytz.timezone('America/New_York'))
+
+#isolate date for NOAA
+date_clean = date_iso_est.strftime('%Y-%m-%d')
+date_csv = date_iso_est.strftime('-%m-%d')
+
+# setting variables for loops
+last, lastsnow, maxsnowfall, big_blizzard = 0, 0, 0, ''
+
+# reads weather data on csv
+with open('snowfall.csv', 'r') as f:
+	reader = csv.DictReader(f)
+
+	for row in reader:
+
+		# check dates & convert snowfall values to integers
+		date_col = row['DATE']
+		snow = int(float(row['SNOW']))
+
+		# checks for blizzard
+		if date_csv in date_col:
+			if snow > maxsnowfall:
+				maxsnowfall = snow
+				big_blizzard = date_col
+
+		else: continue
+
+		# checks for last snow
+		if date_csv in date_col and snow >= 0.5:
+
+			if last < int(date_col[:4]):
+				last = int(date_col[:4])
+				lastsnow = snow
+
+		else: continue
+
+if last == 0: exit()
+
+if last == int(big_blizzard[:4]):
+
+	# isolate year for tweet & separate out date info
+	blizzard = datetime.datetime.strptime(big_blizzard,'%Y-%m-%d')
+	blizzard_year = blizzard.strftime('%Y')
+	blizzard_day = blizzard.strftime('%B %-d')
+
+	# tweet & fav
+	api.update_status(f'@snowinginithaca the last time it snowed in Ithaca on {blizzard_day}, it snowed {lastsnow}" in {blizzard_year}! that\'s the most snow ever recorded in Ithaca on {blizzard_day}!', in_reply_to_status_id = tweet_id)
+	api.create_favorite(tweet_id)
+
+if last != int(big_blizzard[:4]) and lastsnow > 0 and maxsnowfall > 0:
+
+	# isolate year for tweet & separate out date info
+	blizzard = datetime.datetime.strptime(big_blizzard,'%Y-%m-%d')
+	blizzard_year = blizzard.strftime('%Y')
+	blizzard_day = blizzard.strftime('%B %-d')
+
+	# tweet & fav
+	api.update_status(f'@snowinginithaca the last time it snowed in Ithaca on {blizzard_day}, it snowed {lastsnow}\" in {last}! the most snow ever recorded in Ithaca on {blizzard_day} is {maxsnowfall}\" in {blizzard_year}!', in_reply_to_status_id = tweet_id)
+	api.create_favorite(tweet_id)