def count_tweets(screen_name: str) -> int:
return API.get_user(screen_name).statuses_count
Get as many sentiment scores from Twitter as possible.
Put them all into a single CSV file.
Profit.
"""
import requests
import time
from auth import API
with open("data/user_ids.txt", "r") as rf:
data = rf.read().split("\n")[:-1]
with open("data/user_scores.csv", "w") as wf:
wf.write("Handle,ID,score\n")
for tweeter_id in data:
handle = API.get_user(tweeter_id).screen_name
print("Getting user %s... (%s)" % (handle, tweeter_id))
try:
r = requests.get(
"https://twitter-positivity-dot-tylerlee-portfolio.appspot.com/score?handle=%s"
% handle).json()
except:
continue # Internal error - the code is fine, just skip the "special cases"
if "errors" in r:
print(r["errors"]) # 401: private users; 425: rate-limit error
continue
wf.write("%s,%s,%f\n" % (handle, tweeter_id, r['score']))
time.sleep(3) # Avoid rate limit
