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Created February 6, 2019 06:42
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#!/usr/bin/env python
"""
Copyright <2019> <Danny Antaki>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do
so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
__version__ = "0.0.1"
import argparse
import datetime
import json
import os
import sys
import textwrap
import tweepy
def access_twitter(conf=None):
"""
requires a JSON file with your API keys
logins into the API and returns the tweepy API object
"""
with open(conf, "r") as f:
data = json.load(f)
auth = tweepy.OAuthHandler(data["consumer_key"], data["consumer_secret"])
auth.set_access_token(data["access_token"], data["access_token_secret"])
api = tweepy.API(auth, wait_on_rate_limit_notify=True)
return api
def load_history():
with open("tweets/marcus_aurelius.log", "r") as f:
return [l.rstrip() for l in f]
def write_history(tweets):
with open("tweets/marcus_aurelius.log", "a") as f:
f.write("\n".join(tweets))
f.write("\n")
def check_tweet(tweets, log):
return any(t in log for t in tweets)
def get_tweets(users, api, n_tweets):
usr_twt = {}
ln = "_" * 30
ts = datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
ofh = "tweets/maurelius.{0}.tweets.txt".format(ts)
with open(ofh, "a") as out:
sys.stdout.write("\n{}\nCollecting tweets...\n".format(ln))
for u in users:
sys.stdout.write(" {0}\n".format(u))
tweets = api.user_timeline(
screen_name=u, count=n_tweets, tweet_mode="extended")
for tw in tweets:
usr_twt.setdefault(tw.id, []).append(tw.full_text)
for wrd in tw.full_text.split(" "):
out.write("{0}\t@{1}\t{2}\n".format(tw.id, u, wrd))
sys.stdout.write("\n{0}\n".format(ln))
return ofh, usr_twt
def load_tweets(fh):
kw_dict, twt_dict, tid_dict = {}, {}, {}
with open(fh) as f:
for l in f:
ind, kw, _id, tw = l.rstrip().split("\t")
kw_dict[kw] = _id
twt_dict.setdefault(ind, []).append(tw)
tid_dict.setdefault(kw, []).append(ind)
return kw_dict, twt_dict, tid_dict
def pick_tweets(tid, twt_dict, tw_buff):
ln = "_" * 45
sys.stdout.write(
"\nNumber of Tweets: {}\nDisplaying first {} tweets...\n\n".format(
len(tid), tw_buff))
chosen = "y"
for i, e in enumerate(tid):
if chosen in tid:
break
if i == 0:
i += 1
if i % tw_buff == 0:
chosen = input(
"Please select tweet according to tweet number...\n")
if chosen not in tid:
ask = input((
"\n{0} Not a correct tweet number.\n "
"Display more tweets? [y/n]\n").format(chosen))
if ask and ask != "y":
sys.stdout.write("\nExiting!\n")
sys.exit(0)
tws = " * ".join(twt_dict[e])
sys.stdout.write("\n{0}\n{1}\n{2}\n{0}\n".format(
ln, e, textwrap.fill(tws, 45)))
if chosen not in tid:
chosen = input("Please select tweet according to tweet number...\n")
if chosen not in tid:
sys.stdout.write(
"{0} Not a correct tweet number.\nExiting!\n".format(chosen))
sys.exit(0)
return chosen
def show_keywords(kws):
ln = "_" * 60
qn = "_" * 40
sys.stdout.write(
"KEYWORDS\n{0}\n{1}\n{0}\n".format(
ln, textwrap.fill(" * ".join(kws), 60)))
chosen_kw = input("\n{0}\nPick a keyword... \n{0}\n".format(qn))
if chosen_kw not in kws:
sys.stderr.write("ERROR: {0} is not a keyword!\nExiting!\n".format(
chosen_kw))
sys.exit(1)
return chosen_kw
def tweet_it(tweets, _id):
ln = "_" * 45
write_history(tweets)
sys.stdout.write("\n{0}\nT W E E T I N G ...\n".format(ln))
last_status = None
for tweet in tweets:
sys.stdout.write("\n{0}\n{1}\n{0}\n".format(
ln, textwrap.fill(tweet, 45)))
if last_status is None:
last_status = api.update_status(
status=tweet, in_reply_to_status_id=_id)
else:
last_status = api.update_status(
status=tweet, in_reply_to_status_id=last_status.id)
sys.stdout.write("\n")
if __name__ == "__main__":
usage = r"""
___ ____ ______ _____ _____ ______ _____ ______
/ _ )/ __ \/_ __/ / _ | | / / _ \/ __/ / / _/ | / / __/
/ _ / /_/ / / / / __ | |/ / , _/ _// /___/ / | |/ /\ \
/____/\____/ /_/ /_/ |_|___/_/|_/___/____/___/ |___/___/
-----------------------------------------------------------
Version {0}
Author: Danny Antaki dantaki at ucsd dot edu
python botaur.py -u <user> -n <n_tweets>
-b <n_display>""".format(__version__)
parser = argparse.ArgumentParser(usage=usage)
mining = parser.add_argument_group("mining arguments")
mining.add_argument(
"-u", default=[], action="append", required=True,
help="users, flag can be passed multiple times")
mining.add_argument(
"-n", type=int, default=1, required=False,
help="number of tweets to mine. default: 1")
display = parser.add_argument_group("display arguments")
display.add_argument(
"-b", type=int, default=3, required=False,
help="number of tweets to display. default: 3")
args = parser.parse_args()
users, n_tweets, tw_buff = args.u, args.n, args.b
ln = "-" * 60
qn = "_" * 40
log = load_history()
api = access_twitter("tweet.json")
ofh, usr_twt = get_tweets(users, api, n_tweets)
sys.stdout.write(
"\n{0}\n M E D I T A T I N G \n{0}\n"
.format(ln))
t = os.system("perl parse_tweets.pl {0}".format(ofh))
twts = ofh.replace(".txt", ".meditations.txt")
kw_dict, twt_dict, tid_dict = load_tweets(twts)
kws = sorted(list(set(kw_dict.keys())))
chosen_kw = show_keywords(kws)
while chosen_kw in kw_dict:
sys.stdout.write(
"\n{0}\nResponding to ...\n\n{1}\n".format(qn, textwrap.fill(
"".join(usr_twt[int(kw_dict[chosen_kw])]), 30)))
cont = input("\n\nContinue? [y/n]\n{}\n".format(qn))
while cont == "n":
chosen_kw = show_keywords(kws)
sys.stdout.write("\n{0}\nResponding to ...\n{1}\n{0}\n".format(
qn, textwrap.fill(
"".join(usr_twt[int(kw_dict[chosen_kw])]), 30)))
cont = input("\n{0}\nContinue? [y/n]\n{0}\n".format(qn))
tweets = twt_dict[pick_tweets(
sorted(set(tid_dict[chosen_kw])), twt_dict, tw_buff)]
if check_tweet(tweets, log):
sys.stdout.write(
"ERROR: {0}\n\nhas been tweeted before!\nSkipping... ".format(
textwrap.fill(" ".join(tweets), 30)))
else:
tweet_it(tweets, kw_dict[chosen_kw])
ask = input(
"\n{0}\nTweet again with the same keyword? [y/n]\n{0}\n"
.format(qn))
while ask == "y" or ask == "":
tweets = twt_dict[pick_tweets(
sorted(set(tid_dict[chosen_kw])), twt_dict, tw_buff)]
if check_tweet(tweets, log):
sys.stdout.write(
"ERROR: {0}\n\nhas been tweeted before!\nSkipping... "
.format(textwrap.fill(" ".join(tweets), 30)))
else:
tweet_it(tweets, kw_dict[chosen_kw])
ask = input(
"\n{0}\nTweet again with the same keyword? [y/n]\n{0}\n"
.format(qn))
ask = input("\n{0}\nPick a new keyword? [y/n]\n{0}\n".format(qn))
if ask == "y" or ask == "":
chosen_kw = show_keywords(kws)
else:
sys.stdout.write("\nExiting!\n")
break
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