mirror of
https://github.com/MISP/misp-galaxy.git
synced 2024-11-22 23:07:19 +00:00
285 lines
9.6 KiB
Python
285 lines
9.6 KiB
Python
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#!/usr/bin/python3
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import requests
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import json
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from bs4 import BeautifulSoup
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import bs4
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import uuid
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# This tool is part of the MISP core project and released under the GNU Affero
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# General Public License v3.0
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#
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# Copyright (C) 2020 Cormac Doherty
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# Copyright (C) 2020 Roger Johnston
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#
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#
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# version 0.1 - initial
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# version 0.2 - fixed typo ( _curRef NOT curRef)
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def _buildArticleSection(nxtSibling):
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_sectionParagraphs = []
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_nxtsib = nxtSibling
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# Headings and their content are at the same hierarchical
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# level in the html - just a sequence. This loop is bounded on
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# the next element being a <p>
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while ((_nxtsib is not None) and (_nxtsib.name == 'p')):
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# Almost every sentence, if not clause, in parapgraph
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# text is referenced/cited/footnoted.
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#
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# The following iterates through the sequence of 'tokens'
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# in the current <p>, building 'statements' composed of a
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# statement and a reference.
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#
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# so-called "clauses" and "references" are accumulated over
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# loop iterations i.e. a clause is appended to previous clauses
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# if a reference has yet to be accumulated. (implicitly -
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# references come after statements.)
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#
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# Once a 'clause' AND a 'statement' are accumulated, an encapsulating
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# 'statement' is appended to the section's list of paragraphs and
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# are reset.
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#
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_curClause = None
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_curRef = None
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for token in _nxtsib.contents:
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# References (links) are interleved within text blocks as <spans>.
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# The following control structure parses 'the next token' as
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# - <spans> containing a link
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# - disposable 'junk' if its <em>phasised and contains "Last update"
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# - as relevant paragraph text to be accumulated.
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if (token.name == 'span'):
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_anchors = token.find_all('a', recursive=True)
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_anch = None
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if (len(_anchors) != 0):
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_anch = _anchors[0]
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if (_anch is not None):
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_curRef = _anch['href']
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else:
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_curRef = None
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elif ((token.name != 'em') or (not ("Last updated" in token.text))): # ignore the "last updated footer
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if (_curClause is not None):
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if (isinstance(token, bs4.element.NavigableString)):
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_curClause = _curClause + token
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else:
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_curClause = _curClause + token.text
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else:
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# anomalous html handling
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# - <strong> and
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# - (useless) <a> tags
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# appear in a few places
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if ((token.name != 'strong') and
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(token.name != 'em') and
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(token.name != 'br') and
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(token.name != 'sup') and
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(token.name != 'a')):
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_curClause = token # this quashes them
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# Once a 'clause' AND a 'statement' are accumulated, an encapsulating
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# 'statement' is appended to the section's list of paragraphs and
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# are reset.
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if ((_curRef is not None) and (_curClause is not None)):
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statement = {}
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statement["clause"] = _curClause
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statement["ref"] = _curRef
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_sectionParagraphs.append(statement)
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_curClause = None
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_curRef = None
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# If a sequence of 'clauses' have been accumulated without finding a reference
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# create a reference-LESS statement.
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if ((_curClause is not None) and (not "Last updated" in _curClause)):
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statement = {}
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statement["clause"] = _curClause
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_sectionParagraphs.append(statement)
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_nxtsib = _nxtsib.find_next_sibling()
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return _sectionParagraphs
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def _buildListSection(listContent):
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laboratories = []
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for lab in listContent.find_all('li', recursive="False"):
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_lab = {}
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_lab['name'] = lab.contents[0].replace(u'\xa0', '')
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ref = lab.find('a')
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if (ref is not None):
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_lab['ref'] = ref['href']
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else:
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_lab['ref'] = None
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laboratories.append(_lab)
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return laboratories
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def _fetchArticle(url):
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response = requests.get(url)
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soup = BeautifulSoup(response.content, 'html5lib')
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_article = soup.body.find_all('article')[0]
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article = {}
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article['url'] = url
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article['name'] = _article.h1.text.replace('\n', '').strip()
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article['_name'] = _article.h2.contents[0]
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_artbody = _article.find('div', {"class": "article__copy"})
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# Risk Statement
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article['risk statement'] = _artbody.find('p').text
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article['intro'] = _buildArticleSection(_artbody.find('p').find_next_sibling())
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# Article body
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sections = []
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for _heading in _artbody.findChildren('h2'):
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_nxtSibling = _heading.find_next_sibling()
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section = {}
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section['title'] = _heading.text
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if (_nxtSibling.name == 'ul'):
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section['body'] = _buildListSection(_nxtSibling)
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else:
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section['body'] = _buildArticleSection(_nxtSibling)
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sections.append(section)
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article['sections'] = sections
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# # Logo
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# logo = _article.div[0].aside[0].find("div", {"class": "aside__logo"})
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_panel = _article.find("div", {"class": "aside__groups cf"})
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_paneldivs = _panel.find_all('div')
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for _paneldiv in _panel.find_all('div'):
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_title = _paneldiv.find('h3').text
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_items = []
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for _item in _paneldiv.find_all('li'):
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_anch = _item.find('a')
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if (_anch is not None):
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if ("Location" in _title): # locations
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_loc = {}
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_loc['name'] = _anch.contents[0].replace('\n', '').strip()
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_loc['ref'] = _anch['href']
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_latlong = _anch['href'].split("=")[1]
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_loc['lat'] = _latlong.split(",")[0]
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_loc['long'] = _latlong.split(",")[1]
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_items.append(_loc)
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else:
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_items.append(_anch.text)
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else:
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_items.append(_item.text.replace('\n', '').strip())
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article[_title.lower()] = _items
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return article
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def _gen_galaxy(scrape):
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base = {
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"authors": [
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"Australian Strategic Policy Institute"
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],
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"category": "academic-institution",
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"description": "The China Defence Universities Tracker is a database of Chinese institutions engaged in military or security-related science and technology research. It was created by ASPI’s International Cyber Policy Centre.",
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"name": "China Defence Universities Tracker",
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"source": "ASPI International Cyber Policy Centre",
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"type": "china-defence-universities",
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"uuid": "d985d2eb-d6ad-4b44-9c69-44eb90095e23",
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"values": [
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],
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"version": 1
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}
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for uni in scrape:
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new_template = template = {
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# university description
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"description": "",
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"meta": {
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"supervising agency": [],
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"subsidiary": [],
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"category": [],
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"topics": [],
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# Defence labs
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"Major Defence Laboratories": [],
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# Defence labs
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"alias": [],
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"risk": "",
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"address": "",
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"lat": "",
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"long": "",
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# External link to ASPI
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"refs": []
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},
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"uuid": "",
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"value": ""
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}
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new_template["uuid"] = str(uuid.uuid4())
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new_template["meta"]["refs"].append(uni["url"])
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for intro in uni["intro"]:
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new_template["description"] += intro["clause"]
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new_template["value"] = uni["name"] + f" ({uni['_name']})"
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new_template["meta"]["risk"] = uni["risk statement"]
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for alias in uni["aliases"]:
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new_template["meta"]["alias"].append(alias)
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for agency in uni["supervising agencies"]:
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new_template["meta"]["supervising agency"].append(agency)
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if uni.get("subsidiaries"):
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for subsidiary in uni["subsidiaries"]:
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new_template["meta"]["subsidiary"].append(subsidiary)
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if uni.get("topics"):
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for topic in uni["topics"]:
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new_template["meta"]["topics"].append(topic)
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for category in uni["categories"]:
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new_template["meta"]["category"].append(category)
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if uni.get("location"):
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new_template["meta"]["address"] = uni["location"][0]["name"]
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new_template["meta"]["lat"] = uni["location"][0]["lat"]
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new_template["meta"]["long"] = uni["location"][0]["long"]
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base["values"].append(new_template)
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return base
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def main():
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url = "https://unitracker.aspi.org.au"
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response = requests.get(url)
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soup = BeautifulSoup(response.content, 'html5lib')
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table = soup.find_all('table')[0] # Grab the first table
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head = None
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articles = []
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for row in table.find_all('tr'):
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if head is not None:
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colOne = row.find_all('td')[0].find_all('a')[0]['href']
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article = _fetchArticle(url + colOne)
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print("Processing: {}".format(url + colOne))
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articles.append(article)
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else:
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head = "bloop"
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galaxy = _gen_galaxy(articles)
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with open("china-defence-universities.json", "w") as g:
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g.write(json.dumps(galaxy, indent=4, sort_keys=True))
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if __name__ == "__main__":
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main()
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