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Evaluate.py
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Evaluate.py
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#!/usr/bin/env python
# -*- coding: utf-8-*-
"""Автор: http://ru.wikipedia.org/wiki/Участник:Drakosh
Лицензирование: GNU GPL v3 / Beerware.
"""
import wikipedia, os, sys, time, math
from catlib import Category
from Storage import Storage
#from threading import Thread
class Evaluate():
"""Class to evaluate an article"""
def __init__(self, pagename):
#Thread.__init__(self)
self.pagename = pagename
site = wikipedia.getSite()
self.page = wikipedia.Page(site, pagename)
def eval(self):
"""Return quality of given article"""
p = self.page
templates = len(p.templatesWithParams())
# remove good templates
edits = len(p.getVersionHistory()) # до 10 - мало, до 100-норм, от 500- много
l = len(p.get()) # До 1к мало, до 2 к- норм, от 2 - много
cats = len(p.categories()) # 1-2 мало, 3-5 норм, больше 5 много
linked = len(p.linkedPages()) # ??????
referenced = len(list(p.getReferences())) # ????
images = len(p.imagelinks()) # 1-2 норм,
iwiki = len(p.interwiki()) # 1-5 мало 5-10 норм
sections = len(p.getSections()) # 1-2 мало 3-4 норм
users = len(p.contributingUsers())
return (self.pagename, templates, edits, l, cats, linked, referenced, images, iwiki, sections, users)
def run(self):
"""Saves page to db"""
db = Storage()
db.execute("""CREATE TABLE IF NOT EXISTS quality
(name TEXT, templates INT, edits INT, len INT,
cats INT, linked INT, referenced INT, images INT,
iwiki INT, sections INT, users INT)""")
db.delete("quality", {"name": self.pagename})
db.insert("quality", self.eval())
class Corellations():
"""Рассчитать и распечатать статистические данные
Количество статей
Средние величины
Корелляции
see http://stackoverflow.com/questions/3949226/calculating-pearson-correlation-and-significance-in-python"""
def average(self, x):
assert len(x) > 0
return float(sum(x)) / len(x)
def sq_avg(self, x):
s = 0
for i in x:
s+=i*i
return math.sqrt((s/len(x)))
def sq_dev(self, x):
s = 0
avg = self.average(x)
for i in x:
s += (i-avg)**2
return math.sqrt((s/len(x)))
def pearson_def(self, x, y):
assert len(x) == len(y)
n = len(x)
assert n > 0
avg_x = self.average(x)
avg_y = self.average(y)
diffprod = 0
xdiff2 = 0
ydiff2 = 0
for idx in range(n):
xdiff = x[idx] - avg_x
ydiff = y[idx] - avg_y
diffprod += xdiff * ydiff
xdiff2 += xdiff * xdiff
ydiff2 += ydiff * ydiff
return diffprod / math.sqrt(xdiff2 * ydiff2)
def __init__(self):
"""инициализируем и хреначим массив"""
self.data = []
for i in xrange(0, 12):
self.data.append([])
self.db = Storage()
s = u"""SELECT name, templates, edits, len,
cats, linked, referenced, images,
iwiki, sections, users FROM quality ORDER BY name;"""
re = self.db.execute(s)
for l in re.fetchall():
#print l[0]
for i in xrange(1, 11):
self.data[i].append(l[i])
def print_stats(self):
#print self.data
stats = u"Articles count %s \r\n" % len(self.data[1])
val = ["", "templ", "edi", "len", "cat", "links", "refs", "img", "iwiki", "sect", "users"]
stats += " math avg root mean deviation max min \r\n"
for i in xrange(1, 11):
stats += "%8s: %-12.10g %-12.10g %-12.10g %8g %6g \r\n"% (val[i], self.average(self.data[i]), self.sq_avg(self.data[i]), self.sq_dev(self.data[i]), max(self.data[i]), min(self.data[i]))
r = ""
stats += "\r\n"
stats += "Corellations table \r\n"
for v in val:
r += "%10s"%(v)
stats += r+"\r\n"
r = ""
p = {}
for i in xrange(1, 11):
for j in xrange(1, 11):
d = self.pearson_def(self.data[i], self.data[j])
r+="%-10.4g " % d
if i > j:
p["%s-%s"%(val[i], val[j])] = d
stats += "%8s %s\r\n"%(val[i], r)
r=""
stats += "\r\n"
stats += " Maximum values | Minimum values \r\n"
up = sorted(p.items(), key=lambda x: -abs(x[1]))
#print up[0]
for l in xrange(0, 12):
stats += "%12s %6.12s | %12s %6.12s \r\n" % (up[l][0], up[l][1], up[-l-1][0], up[-l-1][1])
return stats
def print_sel(self):
"""Распечатываем максимальные и минимальные статьи"""
k = (1000, 1000, 1, 1000, 1000, 1000, 1000, 1000, 1000, 1000)
s = """SELECT name, ((templates * %s) + (edits * %s) + (len * %s) +
(cats * %s) + (linked * %s) + (referenced * %s) + (images * %s) +
(iwiki * %s) + (sections * %s) + (users * %s)) AS value FROM quality ORDER BY value ASC LIMIT 10;""" % k
re = self.db.execute(s)
for l in re.fetchall():
print "%s %s" % l
print "------------"
s = """SELECT name, ((templates * %s) + (edits * %s) + (len * %s) +
(cats * %s) + (linked * %s) + (referenced * %s) + (images * %s) +
(iwiki * %s) + (sections * %s) + (users * %s)) AS value FROM quality ORDER BY value DESC LIMIT 10;""" % k
re = self.db.execute(s)
for l in re.fetchall():
print "%s %s" % l
if __name__ == "__main__":
#Corellations().print_sel()
#sys.exit()
if len(sys.argv) >= 2:
if sys.argv[1] == "stats":
while True:
p = Corellations().print_stats()
os.system('clear')
print p
time.sleep(10)
else:
while True:
os.system('clear')
Corellations().print_sel()
time.sleep(10)
else:
site = wikipedia.getSite()
cat = Category(site, u"Категория:Музыка")
x=0
#while True:
for p in cat.articles(recurse=3):
print p
p.purgeCache()
# p = site.randompage()
# if (p.namespace() == 0) and (not p.isDisambig()) and (not p.isRedirectPage()):
# Evaluate(p.title()).run()
# x += 1
# print x
# #if x == 10:
# # time.sleep(10)
# # x = 0
# SELECT name, len from quality where (len < (select avg(len) from quality) / 4 and cats < (select avg(len) from quality) / 4) order by len;