a1code.py

import json
import tweepy
import requests
import pandas as pd
import numpy as np
from datetime import datetime, timedelta

#opens and reads sckey.json
a1key={}
with open("a1keys/a1key.json") as file:
    a1key = json.loads(file.read())
  
# Consumer keys and access tokens, used for OAuth
consumer_key = a1key["consumer_key"]
consumer_secret = a1key["consumer_secret"]
access_token = a1key["access_token"]
access_token_secret = a1key["access_token_secret"]

# OAuth process, using the keys and tokens
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
# Store access keys in a way to send to Twitter
api = tweepy.API(auth)

def buildTweet(argument1, argument2):
    tweet = "The Court of Appeals for the Fourth Circuit released an opinion on " + argument1 + " that relates to the First Amendment. To read the full text, visit " + argument2 + "."   
    sendTweet(tweet)

def sendTweet(content):
    api.update_status(content)
    
#opens and reads a1apikey.json
a1apikey={}
with open("a1keys/a1apikey.json") as file:
    a1apikey = json.loads(file.read())
#authenticate and calls api to print text
a1_api_key = a1apikey["a1_api_key"]

#calls court listener api and puts results into json and dataframe
urlcourt = 'https://www.courtlistener.com/api/rest/v3/opinions/?cluster__docket__court__id=ca4&order_by=-date_modified'
headers = {'A1-API-KEY': a1_api_key}
responsecourt = requests.get(urlcourt, headers=headers)
jsoncourt = responsecourt.json()
datacourt = jsoncourt.get('results')
courtdf = pd.DataFrame(datacourt)

#import yesterday's date
def getDate():
    yesterday = datetime.now() - timedelta(days=1)
    date = yesterday.strftime('%Y-%m-%d')
    return date

#import list of Maryland terms
a1terms = []
with open('a1terms.txt', 'r') as s:
    a1terms = s.read().splitlines()
    
#search for md locations only for today
date = getDate()
courtdf = courtdf.replace(np.nan, '', regex=True)
a1date = courtdf[courtdf['date_created'].str.contains(date)]
if (len(a1date) > 0):
    irow = a1date.iterrows()
    for a in irow:
        print(a[1]['date_created'])

for t in a1terms:
    search = a1date[a1date['plain_text'].str.contains(t)]
    if (len(search) > 0):
        irow = search.iterrows()
        for r in irow:
            print(r[1]['absolute_url'])
            buildTweet(date, r[1]['download_url'])