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# -*- coding: utf-8 -*-
"""\
This is a python port of "Goose" orignialy licensed to Gravity.com
under one or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.
Python port was written by Xavier Grangier for Recrutae
Gravity.com licenses this file
to you under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance
with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import os
import glob
from copy import deepcopy
from goose.article import Article
from goose.utils import URLHelper, RawHelper
from goose.extractors import StandardContentExtractor
from goose.cleaners import StandardDocumentCleaner
from goose.outputformatters import StandardOutputFormatter
from goose.images.extractors import UpgradedImageIExtractor
from goose.videos.extractors import VideoExtractor
from goose.network import HtmlFetcher
class CrawlCandidate(object):
def __init__(self, config, url, raw_html):
self.config = config
# parser
self.parser = self.config.get_parser()
self.url = url
self.raw_html = raw_html
class Crawler(object):
def __init__(self, config):
# config
self.config = config
# parser
self.parser = self.config.get_parser()
# article
self.article = Article()
# init the extractor
self.extractor = self.get_extractor()
# init the document cleaner
self.cleaner = self.get_cleaner()
# init the output formatter
self.formatter = self.get_formatter()
# video extractor
self.video_extractor = self.get_video_extractor()
# image extrator
self.image_extractor = self.get_image_extractor()
# html fetcher
self.htmlfetcher = HtmlFetcher(self.config)
# TODO : log prefix
self.logPrefix = "crawler:"
def crawl(self, crawl_candidate):
# parser candidate
parse_candidate = self.get_parse_candidate(crawl_candidate)
# raw html
raw_html = self.get_html(crawl_candidate, parse_candidate)
if raw_html is None:
return self.article
# create document
doc = self.get_document(raw_html)
# article
self.article.final_url = parse_candidate.url
self.article.link_hash = parse_candidate.link_hash
self.article.raw_html = raw_html
self.article.doc = doc
self.article.raw_doc = deepcopy(doc)
self.article.opengraph = self.extractor.extract_opengraph()
self.article.publish_date = self.extractor.get_publish_date()
# self.article.additional_data = config.get_additionaldata_extractor.extract(doc)
self.article.meta_lang = self.extractor.get_meta_lang()
self.article.meta_favicon = self.extractor.get_favicon()
self.article.meta_description = self.extractor.get_meta_description()
self.article.meta_keywords = self.extractor.get_meta_keywords()
self.article.canonical_link = self.extractor.get_canonical_link()
self.article.domain = self.extractor.get_domain()
self.article.tags = self.extractor.extract_tags()
self.article.authors = self.extractor.extract_authors()
self.article.title = self.extractor.get_title()
# check for known node as content body
# if we find one force the article.doc to be the found node
# this will prevent the cleaner to remove unwanted text content
article_body = self.extractor.get_known_article_tags()
if article_body is not None:
self.article.doc = article_body
# before we do any calcs on the body itself let's clean up the document
self.article.doc = self.cleaner.clean()
# big stuff
self.article.top_node = self.extractor.calculate_best_node()
# if we have a top node
# let's process it
if self.article.top_node is not None:
# article links
self.article.links = self.extractor.extract_links()
# tweets
self.article.tweets = self.extractor.extract_tweets()
# video handling
self.video_extractor.get_videos()
# image handling
if self.config.enable_image_fetching:
self.get_image()
# post cleanup
self.article.top_node = self.extractor.post_cleanup()
# clean_text
self.article.cleaned_text = self.formatter.get_formatted_text()
# cleanup tmp file
self.relase_resources()
# return the article
return self.article
def get_parse_candidate(self, crawl_candidate):
if crawl_candidate.raw_html:
return RawHelper.get_parsing_candidate(crawl_candidate.url, crawl_candidate.raw_html)
return URLHelper.get_parsing_candidate(crawl_candidate.url)
def get_image(self):
doc = self.article.raw_doc
top_node = self.article.top_node
self.article.top_image = self.image_extractor.get_best_image(doc, top_node)
def get_html(self, crawl_candidate, parsing_candidate):
# we got a raw_tml
# no need to fetch remote content
if crawl_candidate.raw_html:
return crawl_candidate.raw_html
# fetch HTML
html = self.htmlfetcher.get_html(parsing_candidate.url)
self.article.additional_data.update({
'request': self.htmlfetcher.request,
'result': self.htmlfetcher.result,
})
return html
def get_image_extractor(self):
return UpgradedImageIExtractor(self.config, self.article)
def get_video_extractor(self):
return VideoExtractor(self.config, self.article)
def get_formatter(self):
return StandardOutputFormatter(self.config, self.article)
def get_cleaner(self):
return StandardDocumentCleaner(self.config, self.article)
def get_document(self, raw_html):
doc = self.parser.fromstring(raw_html)
return doc
def get_extractor(self):
return StandardContentExtractor(self.config, self.article)
def relase_resources(self):
path = os.path.join(self.config.local_storage_path, '%s_*' % self.article.link_hash)
for fname in glob.glob(path):
try:
os.remove(fname)
except OSError:
# TODO better log handeling
pass