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Algorithm for comparing article content against a suspected source using MarkovChains

tags/v0.1^2
Ben Kurtovic pirms 13 gadiem
vecāks
revīzija
ee2b1133bb
1 mainītis faili ar 57 papildinājumiem un 13 dzēšanām
  1. +57
    -13
      earwigbot/wiki/copyright.py

+ 57
- 13
earwigbot/wiki/copyright.py Parādīt failu

@@ -20,6 +20,7 @@
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

from collections import defaultdict
from functools import partial
from gzip import GzipFile
from json import loads
@@ -35,7 +36,7 @@ except ImportError:

from earwigbot.wiki.exceptions import *

class CopyvioCheckResult(object):
class _CopyvioCheckResult(object):
def __init__(self, violation, confidence, url, queries):
self.violation = violation
self.confidence = confidence
@@ -43,10 +44,47 @@ class CopyvioCheckResult(object):
self.queries = queries

def __repr__(self):
r = "CopyvioCheckResult(violation={0!r}, confidence={1!r}, url={2!r}, queries={3|r})"
r = "_CopyvioCheckResult(violation={0!r}, confidence={1!r}, url={2!r}, queries={3|r})"
return r.format(self.violation, self.confidence, self.url, self.queries)


class _MarkovChain(object):
START = "MRKV_CHAIN_START"
END = "MRKV_CHAIN_END"

def __init__(self, text):
self.text = text
self.chain = defaultdict(lambda: defaultdict(lambda: 0))
words = text.split()
prev = self.START
for word in words:
self.chain[prev][word] += 1
prev = word
self.chain[word][self.END] += 1

def size(self):
count = 0
for node in self.chain.itervalues():
for hits in node.itervalues():
count += hits
return count


class _MarkovChainIntersection(_MarkovChain):
def __init__(self, mc1, mc2):
self.chain = defaultdict(lambda: defaultdict(lambda: 0))
c1 = mc1.chain
c2 = mc2.chain

for word, nodes1 in c1.iteritems():
if word in c2:
nodes2 = c2[word]
for node, count1 in nodes1.iteritems():
if node in nodes2:
count2 = nodes2[node]
self.chain[word][node] = min(count1, count2)


class CopyrightMixin(object):
"""
EarwigBot's Wiki Toolset: Copyright Violation Mixin
@@ -136,10 +174,13 @@ class CopyrightMixin(object):
return []
return [result["url"] for result in results]

def _copyvio_strip_content(self, content):
def _copyvio_strip_html(self, html):
return html

def _copyvio_strip_article(self, content):
return content

def _copyvio_chunk_content(self, content):
def _copyvio_chunk_article(self, content):
return [content]

def _copyvio_compare_content(self, content, url):
@@ -147,14 +188,17 @@ class CopyrightMixin(object):
if not html:
return 0

confidence = 0
return confidence
article = _MarkovChain(content)
source = _MarkovChain(self._copyvio_strip_html(html))
delta = _MarkovChainIntersection(article, source)

return delta.size() / min(article.size(), source.size())

def copyvio_check(self, engine, credentials, min_confidence=0.75,
max_queries=-1, interquery_sleep=1, force=False):
"""Check the page for copyright violations.

Returns a CopyvioCheckResult object, with four useful attributes:
Returns a _CopyvioCheckResult object with four useful attributes:
"violation", "confidence", "url", and "queries". "confidence" is a
number between 0 and 1; if it is less than "min_confidence", we could
not find any indication of a violation (so "violation" will be False
@@ -182,8 +226,8 @@ class CopyrightMixin(object):
best_match = None
num_queries = 0
content = self.get(force)
clean = self._copyvio_strip_content(content)
chunks = self._copyvio_chunk_content(clean)
clean = self._copyvio_strip_article(content)
chunks = self._copyvio_chunk_article(clean)
last_query = time()

while (chunks and best_confidence < min_confidence and
@@ -192,7 +236,7 @@ class CopyrightMixin(object):
urls = [url for url in urls if url not in handled_urls]
for url in urls:
handled_urls.append(url)
confidence = self._copyvio_compare_content(content, url)
confidence = self._copyvio_compare_content(clean, url)
if confidence > best_confidence:
best_confidence = confidence
best_match = url
@@ -203,7 +247,7 @@ class CopyrightMixin(object):
last_query = time()

if best_confidence >= min_confidence: # violation?
vi = True
v = True
else:
vi = False
return CopyvioCheckResult(vi, best_confidence, best_match, num_queries)
v = False
return _CopyvioCheckResult(v, best_confidence, best_match, num_queries)

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