Quick and dirty Wordcloud tool for Mastodon Account profiles.
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import requests | |
import json | |
import time, argparse | |
import matplotlib.pyplot as py | |
from wordcloud import WordCloud,STOPWORDS | |
from PIL import Image | |
import numpy as np | |
parser = argparse.ArgumentParser() | |
parser.add_argument("-a", "--account", help="Handle to use", required=True) | |
parser.add_argument("-m", "--mask", help="Masking Image to use", required=True) | |
parser.add_argument("-o", "--output", help="Output File Name", required=True) | |
parser.add_argument("-k", "--key", help="API Access Token", required=True) | |
parser.add_argument("-t", "--transparent", help="Tansparent Image", required=True) | |
args = parser.parse_args() | |
config = vars(args) | |
accountname = args.account | |
accessToken = args.key | |
transparent = args.transparent | |
accounts = requests.get('https://fosstodon.org/api/v2/search?q='+accountname+'&resolve=true&limit=1', headers={'Authorization': 'Bearer '+accessToken}) | |
statuses = json.loads(accounts.text) | |
accountID = (statuses['accounts'][0]['id']) | |
response = requests.get('https://fosstodon.org/api/v1/accounts/'+accountID+'/statuses', headers={'Authorization': 'Bearer '+accessToken}) | |
statuses = json.loads(response.text) | |
maskingfilename = args.mask | |
wordcloudfile = args.output | |
tempwordfile="file.txt" | |
f=open (tempwordfile, "w+") | |
for status in statuses: | |
f.write(str(status["content"])) | |
f.write("\n") | |
f.close | |
f = open(tempwordfile,"r") | |
words=f.read() | |
f.close() | |
stopwords = set(STOPWORDS) | |
stopwords.add('https') | |
stopwords.add('t') | |
stopwords.add('co') | |
stopwords.add('https://t.co') | |
stopwords.add('span') | |
stopwords.add('href') | |
stopwords.add('class') | |
stopwords.add('mention') | |
stopwords.add('hashtag') | |
stopwords.add('url') | |
stopwords.add('rel') | |
stopwords.add('tag') | |
stopwords.add('tags') | |
stopwords.add('fosstodon.org') | |
stopwords.add('fosstodon') | |
stopwords.add('org') | |
stopwords.add('mstdn') | |
stopwords.add('p') | |
stopwords.add('u') | |
stopwords.add('h') | |
stopwords.add('card') | |
stopwords.add('ca') | |
stopwords.add('br') | |
stopwords.add('sbb') | |
stopwords.add('joinin') | |
stopwords.add('_blank') | |
stopwords.add('noopener') | |
stopwords.add('ac2c7') | |
stopwords.add('ac2c7b8aad917bd297f1bdcaddc066f2') | |
stopwords.add('n8aad917bd297f1bdcaddc066f2') | |
stopwords.add('b8aad917bd297f1bdcaddc066f2') | |
stopwords.add('nofollow') | |
stopwords.add('noreferrer') | |
if transparent == "yes": | |
twitter_mask= np.array(Image.open(maskingfilename)) #sitr.jpg image name | |
wCloud= WordCloud( | |
margin=5, | |
background_color=None, | |
mask=twitter_mask, | |
mode="RGBA", | |
stopwords=stopwords | |
).generate(words) | |
wCloud.to_file(wordcloudfile) | |
else: | |
twitter_mask= np.array(Image.open(maskingfilename)) #sitr.jpg image name | |
wCloud= WordCloud( | |
margin=5, | |
#background_color=None, | |
#mode="RGBA", | |
mask=twitter_mask, | |
contour_width=2, | |
contour_color='steelblue', | |
stopwords=stopwords | |
).generate(words) | |
wCloud.to_file(wordcloudfile) | |
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