wip
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7
votes.py
7
votes.py
@@ -36,12 +36,13 @@ def main(folder, intervl):
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print(option_date_from.strftime("%d-%m-%Y") + " to " + option_date_to.strftime("%d-%m-%Y"))
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# avg sentiments
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scores = (dmt(posts).filter(lambda p: option_date_from <= p['CreationDate'] < option_date_to
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and firstcontrib[p['OwnerUserId']] + timedelta(days=DAYS_NEW_USER) >= p['CreationDate'])
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and firstcontrib[p['OwnerUserId']] + timedelta(days=DAYS_NEW_USER) > p['CreationDate'])
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.map(lambda p: p['Score'])
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.getresults())
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filtered = (dmt(posts).map(lambda p: [cachedsentiments[a['Id']]['compound']
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for a in p['Answers'] if option_date_from <= p['CreationDate'] < option_date_to
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and firstcontrib[p['OwnerUserId']] + timedelta(days=DAYS_NEW_USER) >= a['CreationDate']])
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for a in p['Answers'] if option_date_from <= p['CreationDate'] < option_date_to # post in interval
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and firstcontrib[p['OwnerUserId']] + timedelta(days=DAYS_NEW_USER) > p['CreationDate'] # post within 1 week of 1st contrib
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and p['CreationDate'] + timedelta(days=DAYS_NEW_USER) > a['CreationDate']]) # answer within 1 week of post
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.filter(lambda p: p != [])
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.reduce(lambda a, b: a + b, lambda a, b: a + b, lambda: [])
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.getresults())
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