YouTube_captions_search_engine/scripts/findLatestTreatedCommentsForChannelsBeingTreated.py

37 lines
1.8 KiB
Python
Executable File

#!/usr/bin/python3
# This algorithm should also take in account other features that we use to retrieve channels.
import os, requests, json, time, datetime
path = 'channels/'
os.chdir(path)
def getTimestampFromDateString(dateString):
return int(time.mktime(datetime.datetime.strptime(dateString, '%Y-%m-%dT%H:%M:%SZ').timetuple()))
for channelId in list(os.walk('.'))[1]:
channelId = channelId[2:]
#print(channelId)
numberOfRequests = len(list(os.walk(f'{channelId}/requests'))[0][2]) - 1
# Assume that the folder isn't empty (may not be the case, but it is most of the time).
filePath = f'{channelId}/requests/{str(numberOfRequests - 1)}.json'
with open(filePath) as f:
print(filePath)
#content = '\n'.join(f.read().splitlines()[1:])
data = json.load(f)#json.loads(content)
snippet = data['items'][-1]['snippet']
if 'topLevelComment' in snippet:
snippet = snippet['topLevelComment']['snippet']
latestTreatedCommentDate = snippet['publishedAt']
url = f'https://yt.lemnoslife.com/noKey/channels?part=snippet&id={channelId}'
data = requests.get(url).json()
channelCreationDate = data['items'][0]['snippet']['publishedAt']
#print(channelCreationDate)
# Timing percentage not taking into account the not uniform in time distribution of comments. Note that in the case of the last request is to list replies to a comment, the percentage might goes a bit backward, as replies are posted after the initial comment.
currentTimestamp = int(time.time())
timingPercentage = round(100 * (currentTimestamp - getTimestampFromDateString(latestTreatedCommentDate)) / (currentTimestamp - getTimestampFromDateString(channelCreationDate)), 3)
print(f'{channelId} {latestTreatedCommentDate} / {channelCreationDate} ({timingPercentage}%)')
break