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113 lines
3.8 KiB
113 lines
3.8 KiB
#!/usr/bin/env python3
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import os, time, json
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from sys import stdin, stderr, stdout
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from pprint import pprint
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import subprocess
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import mwclient
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from datetime import datetime
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site = mwclient.Site('en.wikipedia.org')
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print(site)
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previous_result = '' # keep track of changes, only print when there are new results (when the wikipage changed)
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timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
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log = open('sandbox-score-revids.txt', 'a+')
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log.write('''* * * * * * * * * * * * * * * * * * * * * * * * * *
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Logging sandbox-score-revids.py {}
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* * * * * * * * * * * * * * * * * * * * * * * * * *'''.format(timestamp))
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while True:
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page = site.Pages['User:Trustinformationws/sandbox']
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# print(page)
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revid = list(page.revisions())[0]['revid']
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# model = 'draftquality'
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# model = 'damaging'
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# model = 'goodfaith'
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model = 'goodfaith draftquality damaging'
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# model = 'wp10'
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cmd = "echo '{\"rev_id\": "+str(revid)+"}' | ores score_revisions https://ores.wikimedia.org enwiki "+model
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# print(cmd)
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sub = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
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output = sub.communicate()[0]
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# print('>>> this is the current output', output)
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output = str(output)
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output = output.split('\\n')[2]
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result = json.loads(output)
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# pprint(result)
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if result != previous_result:
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if model == 'damaging':
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true = result['score']['damaging']['score']['probability']['true']
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false = result['score']['damaging']['score']['probability']['false']
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x = '''\nLatest revid: {}. This edit is ...
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... {} likely to be goodfaith,
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... {} likely badfaith.'''.format(revid, true, false)
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if model == 'draftquality':
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ok = result['score']['draftquality']['score']['probability']['OK']
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vandalism = result['score']['draftquality']['score']['probability']['vandalism']
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spam = result['score']['draftquality']['score']['probability']['spam']
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attack = result['score']['draftquality']['score']['probability']['attack']
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x = '''\nLatest revid: {}. It is ...
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... {} likely to be OK,
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... {} likely to be vandalism,
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... {} likely to be spam,
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... {} likely to be an attack.'''.format(revid, ok, vandalism, spam, attack)
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if model == 'wp10':
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pprint(result)
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if model == 'goodfaith':
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true = result['score']['goodfaith']['score']['probability']['true']
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false = result['score']['goodfaith']['score']['probability']['false']
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x = '''\nLatest revid: {}. This edit is ...
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... {} likely to be goodfaith,
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... {} likely badfaith.'''.format(revid, true, false)
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if model == 'goodfaith draftquality damaging':
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# pprint(result)
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goodfaith = result['score']['goodfaith']['score']['probability']['true']
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badfaith = result['score']['goodfaith']['score']['probability']['false']
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warning = ''
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goodfaith_prediction = result['score']['goodfaith']['score']['prediction']
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if goodfaith_prediction == False:
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warning = '\n*THIS PLAYER IS OUT OF THE GAME*\n'
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damaging = result['score']['damaging']['score']['probability']['true']
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nondamaging = result['score']['damaging']['score']['probability']['false']
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ok = result['score']['draftquality']['score']['probability']['OK']
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vandalism = result['score']['draftquality']['score']['probability']['vandalism']
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spam = result['score']['draftquality']['score']['probability']['spam']
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attack = result['score']['draftquality']['score']['probability']['attack']
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x = '''\nLatest revid: {}.
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The last edit is ...
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... {} likely to be goodfaith,
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... {} likely damaging.\n
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Some extra information:
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The article quality ...
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... {} likely to be OK,
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... {} likely to be vandalism,
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... {} likely to be spam,
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... {} likely to be an attack.\n
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{}'''.format(revid, goodfaith, damaging, ok, vandalism, spam, attack, warning)
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print(x)
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log.write(x)
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previous_result = result
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time.sleep(10)
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log.close()
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