commit ada7623e6c281f7456e7811efa6d60f07a5d758d
Author: mb@mb <mail@manettaberends.nl>
Date:   Mon Oct 8 20:27:32 2018 +0200

    very first commit! :)

diff --git a/README.md b/README.md
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+++ b/README.md
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+# Trust ~in~ formation
+
+A small tool for Wikipedia article quality inspection using ORES.
+
+
diff --git a/sandbox-score-revids.py b/sandbox-score-revids.py
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+++ b/sandbox-score-revids.py
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+#!/usr/bin/env python3
+
+import os, time, json
+import mwclient
+
+from sys import stdin, stderr, stdout
+import select
+from pprint import pprint
+import subprocess
+
+site = mwclient.Site('en.wikipedia.org')
+print(site)
+
+while True:
+
+
+	page = site.Pages['User:Trustinformationws/sandbox']
+	# print(page)
+
+	revid = list(page.revisions())[0]['revid']
+
+	# model = 'draftquality'
+	# model = 'damaging'
+	model = 'goodfaith'
+	model = 'goodfaith draftquality'
+
+	cmd = "echo '{\"rev_id\": "+str(revid)+"}' | ores score_revisions https://ores.wikimedia.org enwiki "+model
+	# print(cmd)
+
+	sub = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
+	output = sub.communicate()[0]
+	# print('>>> this is the current output', output)
+	output = str(output)
+	output = output.split('\\n')[2]
+	result = json.loads(output)
+	# pprint(result)
+
+	if model == 'damaging':
+		true = result['score']['damaging']['score']['probability']['true']
+		false = result['score']['damaging']['score']['probability']['false']
+		x = '''\nLatest revid: {}. This edit is ... 
+  ... {} likely to be goodfaith, 
+  ... {} likely badfaith.'''.format(revid, true, false)
+
+	if model == 'draftquality':
+		ok = result['score']['draftquality']['score']['probability']['OK']
+		vandalism = result['score']['draftquality']['score']['probability']['vandalism']
+		spam = result['score']['draftquality']['score']['probability']['spam']
+		attack = result['score']['draftquality']['score']['probability']['attack']
+		x = '''\nLatest revid: {}. It is ...
+  ... {} likely to be OK, 
+  ... {} likely to be vandalism, 
+  ... {} likely to be spam, 
+  ... {} likely to be an attack.'''.format(revid, ok, vandalism, spam, attack)
+
+	if model == 'goodfaith':
+		true = result['score']['goodfaith']['score']['probability']['true']
+		false = result['score']['goodfaith']['score']['probability']['false']
+		x = '''\nLatest revid: {}. This edit is ... 
+  ... {} likely to be goodfaith, 
+  ... {} likely badfaith.'''.format(revid, true, false)
+
+	if model == 'goodfaith draftquality':
+		true = result['score']['goodfaith']['score']['probability']['true']
+		false = result['score']['goodfaith']['score']['probability']['false']
+		ok = result['score']['draftquality']['score']['probability']['OK']
+		vandalism = result['score']['draftquality']['score']['probability']['vandalism']
+		spam = result['score']['draftquality']['score']['probability']['spam']
+		attack = result['score']['draftquality']['score']['probability']['attack']
+		x = '''\nLatest revid: {}. It is ...
+  ... {} likely to be OK, 
+  ... {} likely to be vandalism, 
+  ... {} likely to be spam, 
+  ... {} likely to be an attack.\n
+  ... {} likely to be goodfaith, 
+  ... {} likely badfaith.'''.format(revid, ok, vandalism, spam, attack, true, false)
+
+	print(x)
+
+	time.sleep(10)
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