def python_timeline(user):
import augmentation_path
augmentation_path.augmentation_path()
import tweepy
#Variables that contains the user credentials to access Twitter API
access_token = "2962470483-rZuoGwuNlbgbkz4Dw6Aw7quaKTW8RqnnrB5iZFw"
access_token_secret = "4J5YB1VKdagcwT3p0G2ubaWFSB59lxu6XGFtsBuIrPjUU"
consumer_key = "2E2b3wIvgKYI3m0o0RfVjqehk"
consumer_secret = "Ru2u7IDLm8WoesorllQPufKILzDhGIFx1CnPRI3iJjIAlItwBl"
#OAuth process, using keys and tokens
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.secure = True
auth.set_access_token(access_token, access_token_secret)
#Creation of the actual interface, using authentification
api = tweepy.API(auth)
timeline = api.user_timeline(screen_name=user, include_rts=True, count=100)
for tweet in timeline:
print("Text:", tweet.text)
print("Created:", tweet.created_at)
def python_timeline(user):
import augmentation_path
augmentation_path.augmentation_path()
import tweepy
#Variables that contains the user credentials to access Twitter API
access_token = "2962470483-rZuoGwuNlbgbkz4Dw6Aw7quaKTW8RqnnrB5iZFw"
access_token_secret = "4J5YB1VKdagcwT3p0G2ubaWFSB59lxu6XGFtsBuIrPjUU"
consumer_key = "2E2b3wIvgKYI3m0o0RfVjqehk"
consumer_secret = "Ru2u7IDLm8WoesorllQPufKILzDhGIFx1CnPRI3iJjIAlItwBl"
#OAuth process, using keys and tokens
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.secure=True
auth.set_access_token(access_token, access_token_secret)
#Creation of the actual interface, using authentification
api=tweepy.API(auth)
timeline = api.user_timeline(screen_name=user, include_rts=True, count=100)
for tweet in timeline:
print ("Text:", tweet.text)
print ("Created:", tweet.created_at)
def extraire_tweets(Liste):
'''Cette fonction permet de r??cup??rer les tweets correspondants aux mots cl??s demand??s'''
'''Cette fonction prend en argument une liste de mots cl??s'''
import augmentation_path #Pour importer tweepy
augmentation_path.augmentation_path()
import csv
import tweepy
import time
import nettoyage_texte
from datetime import datetime
tps1 = time.clock() #temps au d?but du programme
yesterday = str(
datetime.now().year) + "-" + str(datetime.now().month) + "-" + str(
datetime.now().day - 1) #date d'hier pour param?tre du curseur
today = str(datetime.now().year) + "-" + str(
datetime.now().month) + "-" + str(datetime.now(
).day) #date actuelle pour parametre curseur et nom fichier
#Variables that contains the user credentials to access Twitter API
access_token = "2962470483-rZuoGwuNlbgbkz4Dw6Aw7quaKTW8RqnnrB5iZFw"
access_token_secret = "4J5YB1VKdagcwT3p0G2ubaWFSB59lxu6XGFtsBuIrPjUU"
consumer_key = "2E2b3wIvgKYI3m0o0RfVjqehk"
consumer_secret = "Ru2u7IDLm8WoesorllQPufKILzDhGIFx1CnPRI3iJjIAlItwBl"
#OAuth process, using keys and tokens
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.secure = True
auth.set_access_token(access_token, access_token_secret)
#Creation of the actual interface, using authentification
api = tweepy.API(auth)
#Récupération des tweets
Liste_de_tweets = []
Liste_de_tweets.append([
"keyword", "user.id", "user.screen_name", "user.location",
"coordinates", "created_at", "geo", "id_str",
"in_reply_to_screen_name", "in_reply_to_status_id_str",
"in_reply_to_user_id_str", "retweet_count", "retweeted", "source",
"source_url", "text", "truncated"
])
#Boucle sur les mots clés de recherche
for mot in Liste:
#Boucle sur les tweets résultats d'une requête
for tweet in tweepy.Cursor(api.search,
q=mot,
since=yesterday,
until=today,
lang='fr').items(10):
attributs_tweets = [mot]
attributs_tweets.append(tweet.user.id)
attributs_tweets.append(tweet.user.screen_name)
attributs_tweets.append(tweet.user.location)
attributs_tweets.append(tweet.coordinates)
attributs_tweets.append(tweet.created_at)
attributs_tweets.append(tweet.geo)
attributs_tweets.append(tweet.id_str)
attributs_tweets.append(tweet.in_reply_to_screen_name)
attributs_tweets.append(tweet.in_reply_to_status_id)
attributs_tweets.append(tweet.in_reply_to_user_id)
attributs_tweets.append(tweet.retweet_count)
attributs_tweets.append(tweet.retweeted)
attributs_tweets.append(tweet.source)
nettoyage_texte.epure_texte(tweet.text)
attributs_tweets.append(tweet.text)
Liste_de_tweets.append(attributs_tweets)
del attributs_tweets
time.sleep(0.2) # respect de la fréquence de l'api
#On retourne un tableau contenant tous les tweets
file = open(
"C:\\Users\\Olivier\\Documents\\Projet_MIR\\Fichier_csv\\" + today +
".csv", "wb")
try:
# Création de l'écrivain CSV.
writer = csv.writer(file)
# écriture de la ligne d'en-t??te avec les titres
for element in Liste_de_tweets:
writer.writerow([unicode(s).encode("utf-8") for s in element])
finally:
#
# Fermeture du fichier source
#
file.close()
tps2 = time.clock() #temps ? la fin du programme
print(
str(len(Liste_de_tweets) - 1) + u" Tweets recuperes en " +
str(tps2 - tps1) + "secondes")
return Liste_de_tweets
def extraire_tweets(Liste):
"""Cette fonction permet de r??cup??rer les tweets correspondants aux mots cl??s demand??s"""
"""Cette fonction prend en argument une liste de mots cl??s"""
import augmentation_path # Pour importer tweepy
augmentation_path.augmentation_path()
import csv
import tweepy
import time
import nettoyage_texte
from datetime import datetime
tps1 = time.clock() # temps au d?but du programme
yesterday = (
str(datetime.now().year) + "-" + str(datetime.now().month) + "-" + str(datetime.now().day - 1)
) # date d'hier pour param?tre du curseur
today = (
str(datetime.now().year) + "-" + str(datetime.now().month) + "-" + str(datetime.now().day)
) # date actuelle pour parametre curseur et nom fichier
# Variables that contains the user credentials to access Twitter API
access_token = "2962470483-rZuoGwuNlbgbkz4Dw6Aw7quaKTW8RqnnrB5iZFw"
access_token_secret = "4J5YB1VKdagcwT3p0G2ubaWFSB59lxu6XGFtsBuIrPjUU"
consumer_key = "2E2b3wIvgKYI3m0o0RfVjqehk"
consumer_secret = "Ru2u7IDLm8WoesorllQPufKILzDhGIFx1CnPRI3iJjIAlItwBl"
# OAuth process, using keys and tokens
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.secure = True
auth.set_access_token(access_token, access_token_secret)
# Creation of the actual interface, using authentification
api = tweepy.API(auth)
# Récupération des tweets
Liste_de_tweets = []
Liste_de_tweets.append(
[
"keyword",
"user.id",
"user.screen_name",
"user.location",
"coordinates",
"created_at",
"geo",
"id_str",
"in_reply_to_screen_name",
"in_reply_to_status_id_str",
"in_reply_to_user_id_str",
"retweet_count",
"retweeted",
"source",
"source_url",
"text",
"truncated",
]
)
# Boucle sur les mots clés de recherche
for mot in Liste:
# Boucle sur les tweets résultats d'une requête
for tweet in tweepy.Cursor(api.search, q=mot, since=yesterday, until=today, lang="fr").items(10):
attributs_tweets = [mot]
attributs_tweets.append(tweet.user.id)
attributs_tweets.append(tweet.user.screen_name)
attributs_tweets.append(tweet.user.location)
attributs_tweets.append(tweet.coordinates)
attributs_tweets.append(tweet.created_at)
attributs_tweets.append(tweet.geo)
attributs_tweets.append(tweet.id_str)
attributs_tweets.append(tweet.in_reply_to_screen_name)
attributs_tweets.append(tweet.in_reply_to_status_id)
attributs_tweets.append(tweet.in_reply_to_user_id)
attributs_tweets.append(tweet.retweet_count)
attributs_tweets.append(tweet.retweeted)
attributs_tweets.append(tweet.source)
nettoyage_texte.epure_texte(tweet.text)
attributs_tweets.append(tweet.text)
Liste_de_tweets.append(attributs_tweets)
del attributs_tweets
time.sleep(0.2) # respect de la fréquence de l'api
# On retourne un tableau contenant tous les tweets
file = open("C:\\Users\\Olivier\\Documents\\Projet_MIR\\Fichier_csv\\" + today + ".csv", "wb")
try:
# Création de l'écrivain CSV.
writer = csv.writer(file)
# écriture de la ligne d'en-t??te avec les titres
for element in Liste_de_tweets:
writer.writerow([unicode(s).encode("utf-8") for s in element])
finally:
#
# Fermeture du fichier source
#
file.close()
tps2 = time.clock() # temps ? la fin du programme
print(str(len(Liste_de_tweets) - 1) + " Tweets recuperes en " + str(tps2 - tps1) + "secondes")
return Liste_de_tweets
