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Starting work on global workers.

tags/v0.2
Ben Kurtovic 10 vuotta sitten
vanhempi
bdcbfa5327
commit
361f7709f8
2 muutettua tiedostoa jossa 384 lisäystä ja 236 poistoa
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  1. +10
    -236
      earwigbot/wiki/copyvios/__init__.py
  2. +374
    -0
      earwigbot/wiki/copyvios/workers.py

+ 10
- 236
earwigbot/wiki/copyvios/__init__.py Näytä tiedosto

@@ -20,246 +20,20 @@
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

from collections import namedtuple
from gzip import GzipFile
from math import log
from Queue import Empty, Queue
from socket import error
from StringIO import StringIO
from threading import Lock, Semaphore, Thread
from time import sleep, time
from urllib2 import build_opener, URLError
from urllib2 import build_opener

from earwigbot import exceptions, importer
from earwigbot.wiki.copyvios.markov import (
EMPTY, EMPTY_INTERSECTION, MarkovChain, MarkovChainIntersection)
from earwigbot.wiki.copyvios.parsers import ArticleTextParser, HTMLTextParser
from earwigbot.wiki.copyvios.markov import MarkovChain
from earwigbot.wiki.copyvios.parsers import ArticleTextParser
from earwigbot.wiki.copyvios.result import CopyvioCheckResult
from earwigbot.wiki.copyvios.search import YahooBOSSSearchEngine
from earwigbot.wiki.copyvios.workers import (
globalize, localize, CopyvioWorkspace)

oauth = importer.new("oauth2")
tldextract = importer.new("tldextract")

__all__ = ["CopyvioMixIn"]

_WorkingResult = namedtuple("_WorkingResult", ["url", "confidence", "chains"])

class _CopyvioWorkspace(object):
"""Manages a single copyvio check distributed across threads."""

def __init__(self, article, min_confidence, until, logger, headers,
url_timeout=5, max_concurrent_requests=6):
self.best = _WorkingResult(None, 0.0, (EMPTY, EMPTY_INTERSECTION))
self.request_semaphore = Semaphore(max_concurrent_requests)

self._article = article
self._logger = logger.getChild("copyvios")
self._min_confidence = min_confidence
self._handled_urls = []
self._is_finished = False
self._enqueue_lock = Lock()
self._result_lock = Lock()

self._workers = {}
self._worker_args = (self, until, headers, url_timeout)

def _calculate_confidence(self, delta):
"""Return the confidence of a violation as a float between 0 and 1."""
def conf_with_article_and_delta(article, delta):
"""Calculate confidence using the article and delta chain sizes."""
# This piecewise function, C_AΔ(Δ), was defined such that
# confidence exhibits exponential growth until it reaches the
# default "suspect" confidence threshold, at which point it
# transitions to polynomial growth with lim (A/Δ)→1 C_AΔ(A,Δ) = 1.
# A graph can be viewed here:
# http://benkurtovic.com/static/article-delta_confidence_function.pdf
ratio = delta / article
if ratio <= 0.52763:
return log(1 / (1 - ratio))
else:
return (-0.8939 * (ratio ** 2)) + (1.8948 * ratio) - 0.0009

def conf_with_delta(delta):
"""Calculate confidence using just the delta chain size."""
# This piecewise function, C_Δ(Δ), was derived from experimental
# data using reference points at (0, 0), (100, 0.5), (250, 0.75),
# (500, 0.9), and (1000, 0.95) with lim Δ→+∞ C_Δ(Δ) = 1.
# A graph can be viewed here:
# http://benkurtovic.com/static/delta_confidence_function.pdf
if delta <= 100:
return delta / (delta + 100)
elif delta <= 250:
return (delta - 25) / (delta + 50)
elif delta <= 500:
return (10.5 * delta - 750) / (10 * delta)
else:
return (delta - 50) / delta

d_size = float(delta.size)
return max(conf_with_article_and_delta(self._article.size, d_size),
conf_with_delta(d_size))

def _finish_early(self):
"""Finish handling links prematurely (if we've hit min_confidence)."""
self._logger.debug("Confidence threshold met; clearing worker queues")
with self._enqueue_lock:
for worker in self._workers.itervalues():
with worker.queue.mutex:
worker.queue.queue.clear()
worker.queue.queue.append(None)
self._is_finished = True

def enqueue(self, urls, exclude_check=None):
"""Put a list of URLs into the worker queue.

*exclude_check* is an optional exclusion function that takes a URL and
returns ``True`` if we should skip it and ``False`` otherwise.
"""
for url in urls:
with self._enqueue_lock:
if self._is_finished:
break
if url in self._handled_urls:
continue
self._handled_urls.append(url)
if exclude_check and exclude_check(url):
continue

try:
key = tldextract.extract(url).registered_domain
except ImportError: # Fall back on very naive method
from urlparse import urlparse
key = u".".join(urlparse(url).netloc.split(".")[-2:])

logmsg = u"enqueue(): {0} {1} -> {2}"
if key in self._workers:
self._logger.debug(logmsg.format("PUT", key, url))
self._workers[key].queue.put(url)
else:
self._logger.debug(logmsg.format("NEW", key, url))
worker = _CopyvioWorker(*self._worker_args)
worker.queue.put(url)
worker.start(key.encode("utf8"))
self._workers[key] = worker

def wait(self):
"""Wait for the workers to finish handling the queue."""
self._logger.debug("Waiting on {0} workers".format(len(self._workers)))
for worker in self._workers.itervalues():
worker.queue.put(None) # Exit signal to workers
for worker in self._workers.itervalues():
worker.join()

def compare(self, url, source):
"""Compare a source to the article, and update the working result."""
delta = MarkovChainIntersection(self._article, source)
confidence = self._calculate_confidence(delta)
self._logger.debug(u"compare(): {0} -> {1}".format(url, confidence))
with self._result_lock:
if confidence > self.best.confidence:
self.best = _WorkingResult(url, confidence, (source, delta))
if confidence >= self._min_confidence:
self._finish_early()


class _CopyvioWorker(object):
"""A multithreaded URL opener/parser instance."""

def __init__(self, workspace, until, headers, url_timeout):
self.queue = Queue()

self._thread = None
self._workspace = workspace
self._until = until
self._opener = build_opener()
self._opener.addheaders = headers
self._url_timeout = url_timeout

def _open_url(self, url):
"""Open a URL and return its parsed content, or None.

First, we will decompress the content if the headers contain "gzip" as
its content encoding. Then, we will return the content stripped using
an HTML parser if the headers indicate it is HTML, or return the
content directly if it is plain text. If we don't understand the
content type, we'll return None.

If a URLError was raised while opening the URL or an IOError was raised
while decompressing, None will be returned.
"""
with self._workspace.request_semaphore:
try:
response = self._opener.open(url, timeout=self._url_timeout)
except (URLError, error):
return None

try:
size = int(response.headers.get("Content-Length", 0))
except ValueError:
return None
if size > 1024 ** 2: # Ignore URLs larger than a megabyte
return None

ctype_full = response.headers.get("Content-Type", "text/plain")
ctype = ctype_full.split(";", 1)[0]
if ctype in ["text/html", "application/xhtml+xml"]:
handler = lambda res: HTMLTextParser(res).strip()
elif ctype == "text/plain":
handler = lambda res: res.strip()
else:
return None

with self._workspace.request_semaphore:
try:
content = response.read()
except (URLError, error):
return None

if response.headers.get("Content-Encoding") == "gzip":
stream = StringIO(content)
gzipper = GzipFile(fileobj=stream)
try:
content = gzipper.read(2 * 1024 ** 2)
except IOError:
return None

return handler(content)

def _run(self):
"""Main entry point for the worker thread.

We will keep fetching URLs from the queue and handling them until
either we run out of time, or we get an exit signal that the queue is
now empty.
"""
while True:
if self._until:
max_time = self._until - time()
if max_time <= 0:
return
try:
url = self.queue.get(timeout=max_time)
except Empty:
return
else:
url = self.queue.get()
if url is None: # Exit signal
return
text = self._open_url(url.encode("utf8"))
if text:
self._workspace.compare(url, MarkovChain(text))

def start(self, name):
"""Start the worker in a new thread, with a given name."""
self._thread = thread = Thread(target=self._run)
thread.name = "cvworker-" + name
thread.daemon = True
thread.start()

def join(self):
"""Join to the worker thread, blocking until it finishes."""
self._thread.join()

__all__ = ["CopyvioMixIn", "globalize", "localize"]

class CopyvioMixIn(object):
"""
@@ -333,8 +107,8 @@ class CopyvioMixIn(object):
searcher = self._get_search_engine()
parser = ArticleTextParser(self.get())
article = MarkovChain(parser.strip())
workspace = _CopyvioWorkspace(article, min_confidence, until,
self._logger, self._addheaders)
workspace = CopyvioWorkspace(article, min_confidence, until,
self._logger, self._addheaders)
if self._exclusions_db:
self._exclusions_db.sync(self.site.name)
exclude = lambda u: self._exclusions_db.check(self.site.name, u)
@@ -393,8 +167,8 @@ class CopyvioMixIn(object):
start_time = time()
until = (start_time + max_time) if max_time > 0 else None
article = MarkovChain(ArticleTextParser(self.get()).strip())
workspace = _CopyvioWorkspace(article, min_confidence, until,
self._logger, self._addheaders, max_time)
workspace = CopyvioWorkspace(article, min_confidence, until,
self._logger, self._addheaders, max_time)
workspace.enqueue([url])
workspace.wait()
url, conf, chains = workspace.best


+ 374
- 0
earwigbot/wiki/copyvios/workers.py Näytä tiedosto

@@ -0,0 +1,374 @@
# -*- coding: utf-8 -*-
#
# Copyright (C) 2009-2014 Ben Kurtovic <ben.kurtovic@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

from gzip import GzipFile
from math import log
from Queue import Empty, Queue
from socket import error
from StringIO import StringIO
from threading import Event, Lock, Thread
from time import time
from urllib2 import build_opener, URLError

from earwigbot import importer
from earwigbot.wiki.copyvios.markov import (
EMPTY, EMPTY_INTERSECTION, MarkovChain, MarkovChainIntersection)
from earwigbot.wiki.copyvios.parsers import HTMLTextParser

tldextract = importer.new("tldextract")

__all__ = ["globalize", "localize", "CopyvioWorkspace"]

_is_globalized = False
_global_workers = []
_global_queues = None

def globalize(num_workers=8):
"""Cause all copyvio checks to be done by one global set of workers.

This is useful when checks are being done through a web interface where
large numbers of simulatenous requests could be problematic. The global
workers are spawned when the function is called, run continuously, and
intelligently handle multiple checks.

This function is not thread-safe and should only be called when no checks
are being done. It has no effect if it has already been called.
"""
global _is_globalized, _global_queues
if _is_globalized:
return

_global_queues = _CopyvioQueues()
for i in xrange(num_workers):
worker = _CopyvioWorker(_global_queues)
worker.start("global-{0}".format(i))
_global_workers.append(worker)
_is_globalized = True

def localize():
"""Return to using page-specific workers for copyvio checks.

This disables changes made by :func:`globalize`, including stoping the
global worker threads.

This function is not thread-safe and should only be called when no checks
are being done.
"""
global _is_globalized, _global_queues
if not _is_globalized:
return

for i in xrange(len(_global_workers)):
_global_queues.unassigned.put((StopIteration, None))
_global_queues = None
_global_workers = None
_is_globalized = False


class _CopyvioSource(object):
"""Represents a single suspected violation source (a URL)."""

def __init__(self, workspace, url, key, headers=None, timeout=5):
self.url = url
self.key = key
self.headers = headers
self.timeout = timeout
self.confidence = 0.0
self.chains = (EMPTY, EMPTY_INTERSECTION)

self._workspace = workspace
self._event = Event()

def active(self):
"""Return whether or not this source needs to be filled out."""
return not self._event.is_set()

def complete(self, confidence, source_chain, delta_chain):
"""Complete the confidence information inside this source."""
self.confidence = confidence
self.chains = (source_chain, delta_chain)
self._event.set()

def cancel(self):
"""Deactivate this source without filling in the relevant data."""
self._event.set()

def join(self, until):
"""Block until this violation result is filled out."""
if until:
timeout = until - time()
if timeout <= 0:
return
self._event.wait(timeout)


class _CopyvioQueues(object):
"""Stores data necessary to maintain the various queues during a check."""

def __init__(self):
self.lock = Lock()
self.sites = {}
self.unassigned = Queue()


class _CopyvioWorker(object):
"""A multithreaded URL opener/parser instance."""

def __init__(self, queues, until=None):
self._queues = queues
self._until = until

self._thread = None
self._site = None
self._queue = None
self._opener = build_opener()

def _open_url(self, source):
"""Open a URL and return its parsed content, or None.

First, we will decompress the content if the headers contain "gzip" as
its content encoding. Then, we will return the content stripped using
an HTML parser if the headers indicate it is HTML, or return the
content directly if it is plain text. If we don't understand the
content type, we'll return None.

If a URLError was raised while opening the URL or an IOError was raised
while decompressing, None will be returned.
"""
self._opener.addheaders = source.headers
url = source.url.encode("utf8")
try:
response = self._opener.open(url, timeout=source.timeout)
except (URLError, error):
return None

try:
size = int(response.headers.get("Content-Length", 0))
except ValueError:
return None
if size > 1024 ** 2: # Ignore URLs larger than a megabyte
return None

ctype_full = response.headers.get("Content-Type", "text/plain")
ctype = ctype_full.split(";", 1)[0]
if ctype in ["text/html", "application/xhtml+xml"]:
handler = lambda res: HTMLTextParser(res).strip()
elif ctype == "text/plain":
handler = lambda res: res.strip()
else:
return None

try:
content = response.read()
except (URLError, error):
return None

if response.headers.get("Content-Encoding") == "gzip":
stream = StringIO(content)
gzipper = GzipFile(fileobj=stream)
try:
content = gzipper.read(2 * 1024 ** 2)
except IOError:
return None

return handler(content)

def _dequeue(self):
"""Remove a source from one of the queues."""
if self._until:
timeout = self._until - time()
if timeout <= 0:
return
else:
timeout = None

with self._queues.lock:
if self._queue:
source = self._queue.get(timeout=timeout)
if self._queue.empty():
del self._queues.sites[self._site]
self._queue = None
else:
site, queue = self._queues.unassigned.get(timeout=timeout)
if site is StopIteration:
return StopIteration
source = queue.get_nowait()
if queue.empty():
del self._queues.sites[site]
else:
self._site = site
self._queue = queue
if not source.active():
return self._dequeue()
return source

def _run(self):
"""Main entry point for the worker thread.

We will keep fetching URLs from the queues and handling them until
either we run out of time, or we get an exit signal that the queue is
now empty.
"""
while True:
try:
source = self._dequeue()
except Empty:
return
if source is StopIteration:
return
text = self._open_url(source)
if text:
source.workspace.compare(source, MarkovChain(text))

def start(self, name):
"""Start the worker in a new thread, with a given name."""
self._thread = thread = Thread(target=self._run)
thread.name = "cvworker-" + name
thread.daemon = True
thread.start()


class CopyvioWorkspace(object):
"""Manages a single copyvio check distributed across threads."""

def __init__(self, article, min_confidence, until, logger, headers,
url_timeout=5, num_workers=8):
self.best = _CopyvioSource(self, None)
self.sources = []

self._article = article
self._logger = logger.getChild("copyvios")
self._min_confidence = min_confidence
self._until = until
self._handled_urls = []
self._is_finished = False
self._compare_lock = Lock()
self._source_args = {"workspace": self, "headers": headers,
"timeout": url_timeout)

if _is_globalized:
self._queues = _global_queues
self._workers = _global_workers
else:
self._queues = _CopyvioQueues()
for i in xrange(num_workers):
worker = _CopyvioWorker(self._queues, until)
worker.start("local-{0:04}.{1}".format(id(self) % 10000, i))
self._workers.append(worker)

def _calculate_confidence(self, delta):
"""Return the confidence of a violation as a float between 0 and 1."""
def conf_with_article_and_delta(article, delta):
"""Calculate confidence using the article and delta chain sizes."""
# This piecewise function, C_AΔ(Δ), was defined such that
# confidence exhibits exponential growth until it reaches the
# default "suspect" confidence threshold, at which point it
# transitions to polynomial growth with lim (A/Δ)→1 C_AΔ(A,Δ) = 1.
# A graph can be viewed here:
# http://benkurtovic.com/static/article-delta_confidence_function.pdf
ratio = delta / article
if ratio <= 0.52763:
return log(1 / (1 - ratio))
else:
return (-0.8939 * (ratio ** 2)) + (1.8948 * ratio) - 0.0009

def conf_with_delta(delta):
"""Calculate confidence using just the delta chain size."""
# This piecewise function, C_Δ(Δ), was derived from experimental
# data using reference points at (0, 0), (100, 0.5), (250, 0.75),
# (500, 0.9), and (1000, 0.95) with lim Δ→+∞ C_Δ(Δ) = 1.
# A graph can be viewed here:
# http://benkurtovic.com/static/delta_confidence_function.pdf
if delta <= 100:
return delta / (delta + 100)
elif delta <= 250:
return (delta - 25) / (delta + 50)
elif delta <= 500:
return (10.5 * delta - 750) / (10 * delta)
else:
return (delta - 50) / delta

d_size = float(delta.size)
return max(conf_with_article_and_delta(self._article.size, d_size),
conf_with_delta(d_size))

def _finish_early(self):
"""Finish handling links prematurely (if we've hit min_confidence)."""
if self._is_finished:
return
self._logger.debug("Confidence threshold met; cancelling remaining sources")
with self._queues.lock:
for source in self.sources:
source.cancel()
self._is_finished = True

def enqueue(self, urls, exclude_check=None):
"""Put a list of URLs into the various worker queues.

*exclude_check* is an optional exclusion function that takes a URL and
returns ``True`` if we should skip it and ``False`` otherwise.
"""
for url in urls:
if self._is_finished:
break
if url in self._handled_urls:
continue
self._handled_urls.append(url)
if exclude_check and exclude_check(url):
continue

try:
key = tldextract.extract(url).registered_domain
except ImportError: # Fall back on very naive method
from urlparse import urlparse
key = u".".join(urlparse(url).netloc.split(".")[-2:])

source = _CopyvioSource(url=url, key=key, **self._source_args)
logmsg = u"enqueue(): {0} {1} -> {2}"
with self._queues.lock:
if key in self._queues.sites:
self._logger.debug(logmsg.format("append", key, url))
self._queues.sites[key].put(source)
else:
self._logger.debug(logmsg.format("new", key, url))
self._queues.sites[key] = queue = Queue()
queue.put(source)
self._queues.unassigned.put((key, queue))

def wait(self):
"""Wait for the workers to finish handling the sources."""
self._logger.debug("Waiting on {0} sources".format(len(self.sources)))
for source in self.sources:
source.join(self._until)

def compare(self, source, source_chain):
"""Compare a source to the article, and update the best known one."""
delta = MarkovChainIntersection(self._article, source_chain)
conf = self._calculate_confidence(delta)
source.complete(conf, source_chain, delta)
self._logger.debug(u"compare(): {0} -> {1}".format(source.url, conf))

with self._compare_lock:
if conf > self.best.confidence:
self.best = source
if conf >= self._min_confidence:
self._finish_early()

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