peacock-data-public-datasets-idc-llm_eval
/
env-llmeval
/lib
/python3.10
/site-packages
/nltk
/twitter
/twitter_demo.py
| # Natural Language Toolkit: Twitter client | |
| # | |
| # Copyright (C) 2001-2023 NLTK Project | |
| # Author: Ewan Klein <[email protected]> | |
| # Lorenzo Rubio <[email protected]> | |
| # URL: <https://www.nltk.org/> | |
| # For license information, see LICENSE.TXT | |
| """ | |
| Examples to demo the :py:mod:`twitterclient` code. | |
| These demo functions should all run, with the following caveats: | |
| * You must have obtained API keys from Twitter, and installed them according to | |
| the instructions in the `twitter HOWTO <https://www.nltk.org/howto/twitter.html>`_. | |
| * If you are on a slow network, some of the calls to the Twitter API may | |
| timeout. | |
| * If you are being rate limited while searching, you will receive a 420 | |
| error response. | |
| * Your terminal window / console must be able to display UTF-8 encoded characters. | |
| For documentation about the Twitter APIs, see `The Streaming APIs Overview | |
| <https://dev.twitter.com/streaming/overview>`_ and `The REST APIs Overview | |
| <https://dev.twitter.com/rest/public>`_. | |
| For error codes see Twitter's | |
| `Error Codes and Responses <https://dev.twitter.com/overview/api/response-codes>` | |
| """ | |
| import datetime | |
| import json | |
| from functools import wraps | |
| from io import StringIO | |
| from nltk.twitter import ( | |
| Query, | |
| Streamer, | |
| TweetViewer, | |
| TweetWriter, | |
| Twitter, | |
| credsfromfile, | |
| ) | |
| SPACER = "###################################" | |
| def verbose(func): | |
| """Decorator for demo functions""" | |
| def with_formatting(*args, **kwargs): | |
| print() | |
| print(SPACER) | |
| print("Using %s" % (func.__name__)) | |
| print(SPACER) | |
| return func(*args, **kwargs) | |
| return with_formatting | |
| def yesterday(): | |
| """ | |
| Get yesterday's datetime as a 5-tuple. | |
| """ | |
| date = datetime.datetime.now() | |
| date -= datetime.timedelta(days=1) | |
| date_tuple = date.timetuple()[:6] | |
| return date_tuple | |
| def setup(): | |
| """ | |
| Initialize global variables for the demos. | |
| """ | |
| global USERIDS, FIELDS | |
| USERIDS = ["759251", "612473", "15108702", "6017542", "2673523800"] | |
| # UserIDs corresponding to\ | |
| # @CNN, @BBCNews, @ReutersLive, @BreakingNews, @AJELive | |
| FIELDS = ["id_str"] | |
| def twitterclass_demo(): | |
| """ | |
| Use the simplified :class:`Twitter` class to write some tweets to a file. | |
| """ | |
| tw = Twitter() | |
| print("Track from the public stream\n") | |
| tw.tweets(keywords="love, hate", limit=10) # public stream | |
| print(SPACER) | |
| print("Search past Tweets\n") | |
| tw = Twitter() | |
| tw.tweets(keywords="love, hate", stream=False, limit=10) # search past tweets | |
| print(SPACER) | |
| print( | |
| "Follow two accounts in the public stream" | |
| + " -- be prepared to wait a few minutes\n" | |
| ) | |
| tw = Twitter() | |
| tw.tweets(follow=["759251", "6017542"], stream=True, limit=5) # public stream | |
| def sampletoscreen_demo(limit=20): | |
| """ | |
| Sample from the Streaming API and send output to terminal. | |
| """ | |
| oauth = credsfromfile() | |
| client = Streamer(**oauth) | |
| client.register(TweetViewer(limit=limit)) | |
| client.sample() | |
| def tracktoscreen_demo(track="taylor swift", limit=10): | |
| """ | |
| Track keywords from the public Streaming API and send output to terminal. | |
| """ | |
| oauth = credsfromfile() | |
| client = Streamer(**oauth) | |
| client.register(TweetViewer(limit=limit)) | |
| client.filter(track=track) | |
| def search_demo(keywords="nltk"): | |
| """ | |
| Use the REST API to search for past tweets containing a given keyword. | |
| """ | |
| oauth = credsfromfile() | |
| client = Query(**oauth) | |
| for tweet in client.search_tweets(keywords=keywords, limit=10): | |
| print(tweet["text"]) | |
| def tweets_by_user_demo(user="NLTK_org", count=200): | |
| """ | |
| Use the REST API to search for past tweets by a given user. | |
| """ | |
| oauth = credsfromfile() | |
| client = Query(**oauth) | |
| client.register(TweetWriter()) | |
| client.user_tweets(user, count) | |
| def lookup_by_userid_demo(): | |
| """ | |
| Use the REST API to convert a userID to a screen name. | |
| """ | |
| oauth = credsfromfile() | |
| client = Query(**oauth) | |
| user_info = client.user_info_from_id(USERIDS) | |
| for info in user_info: | |
| name = info["screen_name"] | |
| followers = info["followers_count"] | |
| following = info["friends_count"] | |
| print(f"{name}, followers: {followers}, following: {following}") | |
| def followtoscreen_demo(limit=10): | |
| """ | |
| Using the Streaming API, select just the tweets from a specified list of | |
| userIDs. | |
| This is will only give results in a reasonable time if the users in | |
| question produce a high volume of tweets, and may even so show some delay. | |
| """ | |
| oauth = credsfromfile() | |
| client = Streamer(**oauth) | |
| client.register(TweetViewer(limit=limit)) | |
| client.statuses.filter(follow=USERIDS) | |
| def streamtofile_demo(limit=20): | |
| """ | |
| Write 20 tweets sampled from the public Streaming API to a file. | |
| """ | |
| oauth = credsfromfile() | |
| client = Streamer(**oauth) | |
| client.register(TweetWriter(limit=limit, repeat=False)) | |
| client.statuses.sample() | |
| def limit_by_time_demo(keywords="nltk"): | |
| """ | |
| Query the REST API for Tweets about NLTK since yesterday and send | |
| the output to terminal. | |
| This example makes the assumption that there are sufficient Tweets since | |
| yesterday for the date to be an effective cut-off. | |
| """ | |
| date = yesterday() | |
| dt_date = datetime.datetime(*date) | |
| oauth = credsfromfile() | |
| client = Query(**oauth) | |
| client.register(TweetViewer(limit=100, lower_date_limit=date)) | |
| print(f"Cutoff date: {dt_date}\n") | |
| for tweet in client.search_tweets(keywords=keywords): | |
| print("{} ".format(tweet["created_at"]), end="") | |
| client.handler.handle(tweet) | |
| def corpusreader_demo(): | |
| """ | |
| Use `TwitterCorpusReader` tp read a file of tweets, and print out | |
| * some full tweets in JSON format; | |
| * some raw strings from the tweets (i.e., the value of the `text` field); and | |
| * the result of tokenising the raw strings. | |
| """ | |
| from nltk.corpus import twitter_samples as tweets | |
| print() | |
| print("Complete tweet documents") | |
| print(SPACER) | |
| for tweet in tweets.docs("tweets.20150430-223406.json")[:1]: | |
| print(json.dumps(tweet, indent=1, sort_keys=True)) | |
| print() | |
| print("Raw tweet strings:") | |
| print(SPACER) | |
| for text in tweets.strings("tweets.20150430-223406.json")[:15]: | |
| print(text) | |
| print() | |
| print("Tokenized tweet strings:") | |
| print(SPACER) | |
| for toks in tweets.tokenized("tweets.20150430-223406.json")[:15]: | |
| print(toks) | |
| def expand_tweetids_demo(): | |
| """ | |
| Given a file object containing a list of Tweet IDs, fetch the | |
| corresponding full Tweets, if available. | |
| """ | |
| ids_f = StringIO( | |
| """\ | |
| 588665495492124672 | |
| 588665495487909888 | |
| 588665495508766721 | |
| 588665495513006080 | |
| 588665495517200384 | |
| 588665495487811584 | |
| 588665495525588992 | |
| 588665495487844352 | |
| 588665495492014081 | |
| 588665495512948737""" | |
| ) | |
| oauth = credsfromfile() | |
| client = Query(**oauth) | |
| hydrated = client.expand_tweetids(ids_f) | |
| for tweet in hydrated: | |
| id_str = tweet["id_str"] | |
| print(f"id: {id_str}") | |
| text = tweet["text"] | |
| if text.startswith("@null"): | |
| text = "[Tweet not available]" | |
| print(text + "\n") | |
| ALL = [ | |
| twitterclass_demo, | |
| sampletoscreen_demo, | |
| tracktoscreen_demo, | |
| search_demo, | |
| tweets_by_user_demo, | |
| lookup_by_userid_demo, | |
| followtoscreen_demo, | |
| streamtofile_demo, | |
| limit_by_time_demo, | |
| corpusreader_demo, | |
| expand_tweetids_demo, | |
| ] | |
| """ | |
| Select demo functions to run. E.g. replace the following line with "DEMOS = | |
| ALL[8:]" to execute only the final three demos. | |
| """ | |
| DEMOS = ALL[:] | |
| if __name__ == "__main__": | |
| setup() | |
| for demo in DEMOS: | |
| demo() | |
| print("\n" + SPACER) | |
| print("All demos completed") | |
| print(SPACER) | |