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process_records.py
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134 lines (120 loc) · 4.71 KB
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import argparse
import datetime
import math
import re
import time
import pandas
MULTIPLE_URLS = "MULTIPLE_URLS"
GOOD_FLAIR = [
"New",
"OC",
"Interactive",
"Repost",
"WIP",
"Update"
]
BAD_FLAIR = [
"Meta",
"Discussion",
"Search",
"Announcement"
]
def extract_urls(row):
if row['is_self']:
text = row['selftext']
pattern = re.compile(r"""(?i)\b((?:https?:(?:/{1,3}|[a-z0-9%])|[a-z0-9.\-]+[.](?:com|net|org|edu|gov|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|name|post|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|Ja|sk|sl|sm|sn|so|sr|ss|st|su|sv|sx|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|yu|za|zm|zw)/)(?:[^\s()<>{}\[\]]+|\([^\s()]*?\([^\s()]+\)[^\s()]*?\)|\([^\s]+?\))+(?:\([^\s()]*?\([^\s()]+\)[^\s()]*?\)|\([^\s]+?\)|[^\s`!()\[\]{};:'".,<>?«»“”‘’])|(?:(?<!@)[a-z0-9]+(?:[.\-][a-z0-9]+)*[.](?:com|net|org|edu|gov|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|name|post|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|Ja|sk|sl|sm|sn|so|sr|ss|st|su|sv|sx|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|yu|za|zm|zw)\b/?(?!@)))""")
urls = re.findall(pattern, str(text))
if len(urls) > 0:
urls = list(set(urls))
for url in urls:
if "reddit.com" in url or "onrender.com" in url:
urls.remove(url)
return urls
return []
else:
if str(row['url']):
return [str(row['url'])]
return []
def get_single_url(url_list, regex):
img_paths = []
img_images = []
if url_list:
for url in url_list:
if regex in url:
if ".jpg" or ".jpeg" or ".png" in url:
img_images.append(url)
else:
img_paths.append(url)
if len(img_paths) > 0:
return img_paths[0]
elif len(img_images) > 1:
return MULTIPLE_URLS
elif len(img_images) > 0:
return img_images[0]
else:
return ""
return ""
def is_CYOA(row):
removed = str(row['removed_by_category'])
flair_text = str(row['link_flair_text'])
if len(removed) > 0:
return False
for flair in GOOD_FLAIR:
if flair in flair_text:
return True
for flair in BAD_FLAIR:
if flair in flair_text:
return False
return ""
def url_list_to_str(url_list):
try:
if len(url_list) > 0:
return ", ".join(url_list)
except:
print(url_list)
return ""
def main(args):
# Process arguments
filename = args.record_file
d = pandas.read_csv(filename)
d.fillna('', inplace=True)
urls = d.apply(extract_urls, axis=1)
d['imgur_url'] = urls.apply(get_single_url, regex="imgur.")
d['imgchest_url'] = urls.apply(get_single_url, regex="imgchest.")
d['ireddit_url'] = urls.apply(get_single_url, regex="i.redd.it")
d['neocities_url'] = urls.apply(get_single_url, regex="neocities")
d['urls'] = urls.apply(url_list_to_str)
d['is_cyoa'] = d.apply(is_CYOA, axis=1)
d['permalink'] = "https://www.reddit.com" + d['permalink']
d['date_posted'] = d['created_utc'].apply(datetime.datetime.fromtimestamp)
d['date_scraped'] = d['parser_timestamp'].apply(datetime.datetime.fromtimestamp)
d = d.sort_values(by = 'created_utc', ascending=True)
d = d[[
'is_cyoa',
'title',
'date_posted',
'posted_by',
'subreddit',
'link_flair_text',
'selftext',
'num_comments',
'score',
'upvote_ratio',
'permalink',
'imgur_url',
'imgchest_url',
'neocities_url',
'ireddit_url',
'urls',
'removed_by_category',
'is_self',
'over_18',
'date_scraped',
'id'
]]
d.to_csv("processed_" + str(int(time.time())) + ".csv", lineterminator='\r\n', index=False)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('record_file')
args = parser.parse_args()
main(args)