Files
twitter_scraper/code/main.py
T
2023-01-09 19:13:35 +01:00

76 lines
2.6 KiB
Python

# public packages
import snscrape.modules.twitter as sntwitter
from tqdm import tqdm
import time
# database-related
from database import Data_table, insert_list, get_all
from dotenv import load_dotenv
# own code
from clean_data import clean_content_df
from translate import translate
def run_snscrape():
# prepare lists to hold information
username_list = list()
timestamp_list = list()
content_list = list()
# begin scraping
query = '(Odense OR odense OR #odense OR #Odense) until:2022-12-17 since:2017-01-01 -filter:replies'
for i, tweet in enumerate(sntwitter.TwitterSearchScraper(query).get_items()):
# store information in lists
username_list.append(tweet.user.username)
timestamp_list.append(tweet.date)
content_list.append(tweet.content)
# when 100 tweets have been collected
if len(content_list) == 100:
# send data to database
insert_list(username_list, timestamp_list, content_list)
# empty lists
username_list = list()
timestamp_list = list()
content_list = list()
# check in on progress
if i % 100 == 0:
print(f'found {i} tweets')
def translate_content():
# load all content from database
print('loading data from database...')
df = get_all()
# remove already translated content
df = df[df['content_en'].isna()]
# clean content
print('cleaning content...')
content_clean_list, id_list = clean_content_df(df)
# translate content
print('translating content...')
with Data_table() as dt:
for id, content in tqdm(zip(id_list, content_clean_list), ascii=True, total=len(id_list)):
# translate content
try:
content_trans = translate(content)
except Exception:
print(f'error when translating content with id={id}')
continue
# transfer to database
try:
val_dict = {
'id': id,
'content_en': content_trans
}
query = (
f'UPDATE {dt._name} '
' SET content_en = (%(content_en)s) '
'WHERE id = (%(id)s) '
)
dt.execute(query, val_dict)
except Exception:
print(f'error when sending translated content to database: id={id}')
# take a break to avoid being banned by Google
time.sleep(2)
if __name__ == '__main__':
load_dotenv()
# run_snscrape()
translate_content()