Tweepy не разрешает мне доступ к историческим данным

Question

Я пытаюсь получить доступ к некоторым твитам из прошлого, но твиттер создает пустой файл. Хотя, если я поставлю самую последнюю дату, его данные выборки

import sys,tweepy,csv,re

из импорта текстовых блоков TextBlob import matplotlib.pyplot as plt

class SentimentAnalysis:

def __init__(self):
    self.tweets = []
    self.tweetText = []

def DownloadData(self):
    # authenticating
    consumerKey = 'key'
    consumerSecret = 'secret'
    accessToken = 'token'
    accessTokenSecret = 'tokensecret'
    auth = tweepy.OAuthHandler(consumerKey, consumerSecret)
    auth.set_access_token(accessToken, accessTokenSecret)
    api = tweepy.API(auth)

    # input for term to be searched and how many tweets to search
    searchTerm = input("Enter Keyword/Tag to search about: ")
    NoOfTerms = int(input("Enter how many tweets to search: "))

    # searching for tweets
    self.tweets = tweepy.Cursor(api.search, q=searchTerm, lang = "en",since="2020-02-01",until="2020-04-30").items(NoOfTerms)

    # Open/create a file to append data to
    csvFile = open('data.csv', 'a')

    # Use csv writer
    csvWriter = csv.writer(csvFile)


    # creating some variables to store info
    polarity = 0
    positive = 0
    wpositive = 0
    spositive = 0
    negative = 0
    wnegative = 0
    snegative = 0
    neutral = 0


    # iterating through tweets fetched
    for tweet in self.tweets:
        #Append to temp so that we can store in csv later. I use encode UTF-8
        self.tweetText.append(self.cleanTweet(tweet.text).encode('utf-8'))
        # print (tweet.text.translate(non_bmp_map))    #print tweet's text

        analysis = TextBlob(tweet.text)
        # print(analysis.sentiment)  # print tweet's polarity
        polarity += analysis.sentiment.polarity  # adding up polarities to find the average later

        if (analysis.sentiment.polarity == 0):  # adding reaction of how people are reacting to find average later
            neutral += 1
        elif (analysis.sentiment.polarity > 0 and analysis.sentiment.polarity <= 0.3):
            wpositive += 1
        elif (analysis.sentiment.polarity > 0.3 and analysis.sentiment.polarity <= 0.6):
            positive += 1
        elif (analysis.sentiment.polarity > 0.6 and analysis.sentiment.polarity <= 1):
            spositive += 1
        elif (analysis.sentiment.polarity > -0.3 and analysis.sentiment.polarity <= 0):
            wnegative += 1
        elif (analysis.sentiment.polarity > -0.6 and analysis.sentiment.polarity <= -0.3):
            negative += 1
        elif (analysis.sentiment.polarity > -1 and analysis.sentiment.polarity <= -0.6):
            snegative += 1


    # Write to csv and close csv file
    csvWriter.writerow(self.tweetText)
    csvFile.close()

    # finding average of how people are reacting
    positive = self.percentage(positive, NoOfTerms)
    wpositive = self.percentage(wpositive, NoOfTerms)
    spositive = self.percentage(spositive, NoOfTerms)
    negative = self.percentage(negative, NoOfTerms)
    wnegative = self.percentage(wnegative, NoOfTerms)
    snegative = self.percentage(snegative, NoOfTerms)
    neutral = self.percentage(neutral, NoOfTerms)

    # finding average reaction
    polarity = polarity / NoOfTerms

    # printing out data
    print("How people are reacting on " + searchTerm + " by analyzing " + str(NoOfTerms) + " tweets.")
    print()
    print("General Report: ")

    if (polarity == 0):
        print("Neutral")
    elif (polarity > 0 and polarity <= 0.3):
        print("Weakly Positive")
    elif (polarity > 0.3 and polarity <= 0.6):
        print("Positive")
    elif (polarity > 0.6 and polarity <= 1):
        print("Strongly Positive")
    elif (polarity > -0.3 and polarity <= 0):
        print("Weakly Negative")
    elif (polarity > -0.6 and polarity <= -0.3):
        print("Negative")
    elif (polarity > -1 and polarity <= -0.6):
        print("Strongly Negative")

    print()
    print("Detailed Report: ")
    print(str(positive) + "% people thought it was positive")
    print(str(wpositive) + "% people thought it was weakly positive")
    print(str(spositive) + "% people thought it was strongly positive")
    print(str(negative) + "% people thought it was negative")
    print(str(wnegative) + "% people thought it was weakly negative")
    print(str(snegative) + "% people thought it was strongly negative")
    print(str(neutral) + "% people thought it was neutral")

    self.plotPieChart(positive, wpositive, spositive, negative, wnegative, snegative, neutral, searchTerm, NoOfTerms)


def cleanTweet(self, tweet):
    # Remove Links, Special Characters etc from tweet
    return ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t]) | (\w +:\ / \ / \S +)", " ", tweet).split())

# function to calculate percentage
def percentage(self, part, whole):
    temp = 100 * float(part) / float(whole)
    return format(temp, '.2f')

def plotPieChart(self, positive, wpositive, spositive, negative, wnegative, snegative, neutral, searchTerm, noOfSearchTerms):
    labels = ['Positive [' + str(positive) + '%]', 'Weakly Positive [' + str(wpositive) + '%]','Strongly Positive [' + str(spositive) + '%]', 'Neutral [' + str(neutral) + '%]',
              'Negative [' + str(negative) + '%]', 'Weakly Negative [' + str(wnegative) + '%]', 'Strongly Negative [' + str(snegative) + '%]']
    sizes = [positive, wpositive, spositive, neutral, negative, wnegative, snegative]
    colors = ['yellowgreen','lightgreen','darkgreen', 'gold', 'red','lightsalmon','darkred']
    patches, texts = plt.pie(sizes, colors=colors, startangle=90)
    plt.legend(patches, labels, loc="best")
    plt.title('How people are reacting on ' + searchTerm + ' by analyzing ' + str(noOfSearchTerms) + ' Tweets.')
    plt.axis('equal')
    plt.tight_layout()
    plt.show()



 if __name__== "__main__":
    sa = SentimentAnalysis()
    sa.DownloadData()

Может кто-нибудь сказать почему это происходит и как я могу решить эту проблему. Это происходит с любым ключевым словом, которое я ищу.