mirror of
https://github.com/pds-nest/nest.git
synced 2024-11-22 13:04:19 +00:00
85 lines
2.4 KiB
Python
85 lines
2.4 KiB
Python
from nest_backend.app import app
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from nest_backend.database import *
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import tweepy as tw
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import nltk
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from nltk.corpus import stopwords
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ext.init_app(app=app)
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def authenticate():
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c_k = "GEhtSyP9e98mzFeiOCSW0lvQX"
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c_s = "438cmYrl5xqaX2W7I2Bf5A9nF1pN5VtM9f77WYQnAXg1BwKJ27"
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a_t = "1380217745732689921-8gCfr8Zx9YHKvo4OVP3HAr3kfMRkgz"
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a_t_s = "jGOlgTs1i1itGMxDxAqFEDnv7QAui772n9hGxeSIKcwzS"
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auth = tw.OAuthHandler(c_k, c_s)
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auth.set_access_token(a_t, a_t_s)
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api = tw.API(auth, wait_on_rate_limit=True)
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return api
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def start_exploring():
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api = authenticate()
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most_popular_hashtags = dict()
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most_popular_words = dict()
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geocode="34.0999996,-118.333332,1000km"
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for tweet in tw.Cursor(method = api.search, q="Draghi OR Oscar", lang="it").items(50):
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print(tweet.user.name + ' : ' + tweet.text)
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for hashtag in tweet.entities['hashtags']:
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if hashtag['text'] in most_popular_hashtags.keys():
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most_popular_hashtags[hashtag['text']] += 1
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else:
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most_popular_hashtags[hashtag['text']] = 1
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stop_words = set(stopwords.words('italian'))
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stop_words.add("RT")
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word_tokens = nltk.word_tokenize(tweet.text)
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filtered_sentence = [w for w in word_tokens if not w.lower() in stop_words and w.isalpha()]
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for word in filtered_sentence:
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if word in most_popular_words.keys():
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most_popular_words[word] += 1
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else:
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most_popular_words[word] = 1
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print(dict(sorted(most_popular_hashtags.items(), key=lambda item: item[1])))
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print(dict(sorted(most_popular_words.items(), key=lambda item: item[1])))
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def search_repo_conditions(repository_id):
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repo = Repository.query.filter_by(id=repository_id).first()
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conditions = [use.condition for use in repo.uses]
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conditions_type = dict()
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for condition in conditions:
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# print(condition.id)
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if condition.type not in conditions_type.keys():
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conditions_type[condition.type]=[condition.content]
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else:
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conditions_type[condition.type].append(condition.content)
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for types in conditions_type.keys():
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print(types, ":", conditions_type[types])
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if __name__ == "__main__":
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search_repo_conditions()
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#print(stopwords.words('italian'))
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with app.app_context():
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ext.create_all(app=app)
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#start_exploring()
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