Partially automated comment flagging on Stack Overflow.
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import requests | |
import re | |
import pandas as pd | |
import html | |
import time | |
import sys | |
# https://stackapps.com/q/8364/ | |
client_id = '15705' | |
client_secret = 'iZvNzsXAaSOic6qT*mJMKQ((' | |
key = 'BTUX)fAFTdhKKhRuF5IKFA((' | |
def response_has_error(response): | |
return any('error' in k for k in response.keys()) | |
access_token = ###YOUR ACCESS TOKEN### | |
df = pd.read_csv('comments.csv') | |
options_url = ('https://api.stackexchange.com/2.2/comments/{}/flags/options?' | |
'key={}&access_token={}&site=stackoverflow') | |
flag_url = 'https://api.stackexchange.com/2.2/comments/{}/flags/add' | |
MAX_FLAGS = int(sys.argv[1]) if len(sys.argv) > 1 else 95 | |
count = 0 | |
flagged = set() | |
for t, c in zip(df['Text'], df['Comment Link']): | |
response = requests.get(options_url.format(c, key, access_token)).json() | |
if response_has_error(response): | |
flagged.add(c) | |
continue | |
for item in response['items']: | |
if item['title'] == "It's no longer needed.": | |
option_id = item['option_id'] | |
response = requests.post( | |
flag_url.format(c), | |
data={ | |
'key': key, | |
'access_token': access_token, | |
'option_id': option_id, | |
'site': 'stackoverflow'}).json() | |
if not response_has_error(response): | |
count += 1 | |
flagged.add(c) | |
print(f'Successfully flagged #{count:>3}: {t!r} (CL: {c:>8})') | |
if count == MAX_FLAGS: | |
break | |
time.sleep(5) | |
print(f'Total flagged: {count}') | |
df[~df['Comment Link'].isin(flagged)].to_csv('comments.csv', index=False) | |
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