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twitter_app.py
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140 lines (104 loc) · 4.29 KB
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import argparse
import socket
import time
import traceback
from datetime import date
from datetime import timedelta
import requests
def auth() -> str:
with open('keys.txt', 'r') as key_file:
lines = key_file.read().split('\n')
for x in lines:
x = x.strip()
if x.startswith("token:"):
return x[6:]
def create_url(keyword, end_date, next_token=None, max_results=10):
search_url = "https://api.twitter.com/2/tweets/search/recent"
query_params = {'query': keyword,
'end_time': end_date,
'max_results': max_results,
'tweet.fields': 'id,text,author_id,geo,conversation_id,created_at,lang,entities',
'next_token': next_token
}
return (search_url, query_params)
def get_response(url, headers, params):
response = requests.get(url, headers=headers, params=params)
print(f"Endpoint Response Code: {str(response.status_code)}")
if response.status_code != 200:
raise Exception(response.status_code, response.text)
return response.json()
def get_tweet_data(next_token=None, query='corona', max_results=20):
bearer_token = auth()
headers = {"Authorization": f"Bearer {bearer_token}"}
keyword = f"{query} lang:en has:hashtags"
end_date = str(date.today() - timedelta(days=6))
end_time = f"{end_date}T00:00:00.000Z"
url: tuple = create_url(
keyword, end_time, next_token=next_token, max_results=20)
json_response = get_response(url=url[0], headers=headers, params=url[1])
import json
with open('test.txt', 'w+') as teeee:
json.dump(json_response, teeee, indent=2)
return json_response
def get_tag(tag_info: dict):
tag = str(tag_info['tag']).strip()
hashtag = str('#' + tag + '\n')
print(f"Hashtag: {hashtag.strip()}")
return hashtag
def send_tweets_to_spark(http_resp, tcp_connection):
data: list=http_resp["data"]
for tweet in data:
try:
hashtag_list=tweet['entities']['hashtags']
for tag_info in hashtag_list:
hashtag=get_tag(tag_info)
tcp_connection.send(hashtag.encode("utf-8"))
except KeyError:
print("No hashtag found in current tweet, moving on...")
continue
except BrokenPipeError:
exit("Pipe Broken, Exiting...")
except KeyboardInterrupt:
exit("Keyboard Interrupt, Exiting...")
except Exception as e:
traceback.print_exc()
def input_term():
parser=argparse.ArgumentParser(description='Spark Tweet analyzer')
parser.add_argument('-p', '--pages', type=int,
help="No of pages to query", required=True)
parser.add_argument('-k', '--keywords', type=str,
help="List of keywords to query", required=True)
parser.add_argument('-m', '--max_results', type=int,
help="max results", required=False)
parser.add_argument('-s', '--sleep_timer', type=int,
help="sleep timer", required=False)
args=parser.parse_args()
return args.pages, args.keywords, args.max_results, args.sleep_timer
if __name__ == '__main__':
no_of_pages, queries, max_results, sleep_timer=input_term()
if max_results is None:
max_results=20
if sleep_timer is None:
sleep_timer=5
queries=str(queries).split(" ")
TCP_IP="127.0.0.1"
TCP_PORT=9009
s=socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
s.bind((TCP_IP, TCP_PORT))
s.listen(1)
print("Waiting for the TCP connection...")
conn, addr=s.accept()
print("Connected successfully... Starting getting tweets.")
next_token=None
for query in queries:
for _ in range(no_of_pages):
try:
print(f"\n\n\t\tProcessing Page {_} for keyword {query}\n\n")
resp=get_tweet_data(next_token=next_token,
query=query, max_results=max_results)
next_token=resp['meta']['next_token']
send_tweets_to_spark(http_resp=resp, tcp_connection=conn)
time.sleep(sleep_timer)
except KeyboardInterrupt:
exit("Keyboard Interrupt, Exiting..")