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""" |
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Cellar text and eurovoc extraction |
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python update.py 10000 dataset.jsonl |
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will extract for the last 10,000 days text in english and eurovoc labels in the JSON line file. |
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requirements: |
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beautifulsoup4==4.12.2 |
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docx2txt==0.8 |
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ipython==8.14.0 |
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jinja2==3.1.2 |
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joblib==1.3.1 |
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pdfminer.six==20221105 |
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pip-chill==1.0.3 |
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pycryptodome==3.18.0 |
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requests==2.31.0 |
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tqdm==4.65.0 |
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xmltodict==0.13.0 |
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""" |
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import datetime |
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import json |
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from concurrent.futures import ProcessPoolExecutor |
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from bs4 import BeautifulSoup |
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import logging |
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import re |
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import sys |
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from tqdm import tqdm |
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from io import BytesIO |
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import jinja2 |
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from joblib import Memory |
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location = './cache' |
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memory = Memory(location, verbose=0) |
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log = logging.getLogger(__name__) |
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log.addHandler(logging.FileHandler('collect.log')) |
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log.setLevel(logging.DEBUG) |
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import xmltodict |
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import docx2txt as docx2txt |
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import requests |
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from joblib import expires_after |
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from pdfminer.high_level import extract_text |
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user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36' |
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def clean_text(func): |
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""" |
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Decorator used to clean the text |
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:param func: |
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:return: |
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""" |
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def inner(*args, **kwargs): |
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text = func(*args, **kwargs) |
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text = text.replace("\n", " ") |
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text = text.replace(" .", ".") |
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text = re.sub(' +', ' ', text) |
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text = re.sub(' *[.] *', '. ', text) |
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text = re.sub('\.\s*\.\s*\.+', '. ', text) |
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text = '. '.join([s.strip() for s in text.split(".") if len(s.strip())]) |
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return text |
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return inner |
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@memory.cache(cache_validation_callback=expires_after(minutes=120)) |
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def get_eurovoc_terms_and_id(): |
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eurovoc_terms_and_id = {} |
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response = requests.get('http://publications.europa.eu/resource/dataset/eurovoc', |
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headers={'Accept': 'application/xml', |
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'Accept-Language': 'en', |
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'User-Agent': user_agent |
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} |
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) |
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data = xmltodict.parse(response.content) |
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for term in data['xs:schema']['xs:simpleType']['xs:restriction']['xs:enumeration']: |
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try: |
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name = term['xs:annotation']['xs:documentation'].split('/')[0].strip() |
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for r in term['xs:annotation']['xs:appinfo']['record']: |
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if r['@thesaurus_id'] != '': |
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eurovoc_terms_and_id[name.lower()] = r['@thesaurus_id'] |
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except KeyError as e: |
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log.warning("⚠️ Could not parse", term) |
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return eurovoc_terms_and_id |
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def get_sparql_query(d): |
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start = d.strftime('%Y-%m-%d') |
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end = d + datetime.timedelta(days=2) |
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end = end.strftime('%Y-%m-%d') |
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environment = jinja2.Environment() |
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template = environment.from_string(open("query.j2", 'r').read()) |
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return template.render(start=start, end=end) |
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def get_json_response(d): |
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url = "https://publications.europa.eu/webapi/rdf/sparql" |
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headers = {'User-Agent': user_agent} |
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params = {"default-graph-uri": "", |
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"query": get_sparql_query(d), |
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"format": "application/sparql-results+json", |
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"timeout": "0", |
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"debug": "on", |
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"run": "Run Query"} |
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response = requests.get(url, headers=headers, params=params) |
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assert response.status_code == 200 |
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return response.json() |
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def get_concepts_id(list_of_eurovoc_terms): |
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terms = get_eurovoc_terms_and_id() |
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for e in list_of_eurovoc_terms: |
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try: |
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yield terms[e.strip().lower()] |
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except KeyError: |
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log.warning(f"⚠️ Could not find {e} in Eurovoc") |
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def get_docs(d): |
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results = get_json_response(d) |
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for r in results['results']['bindings']: |
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terms = r['subjects']['value'].replace(u'\xa0', u' ').split(',') |
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r['eurovoc_concepts'] = terms |
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r['url'] = r['cellarURIs']['value'] |
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r['title'] = r['title']['value'] |
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r['date'] = r['date']['value'] |
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r['lang'] = r['langIdentifier']['value'].lower() |
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r['formats'] = [t for t in r['mtypes']['value'].split(',')] |
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for c in ['cellarURIs', 'mtypes', 'langIdentifier', 'subjects', 'authors', 'workTypes', 'workIds']: |
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del r[c] |
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yield r |
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def get_docs_text(d): |
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docs = list(get_docs(d)) |
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print(f"Processing documents ... {len(docs)}") |
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with ProcessPoolExecutor(max_workers=16) as executor: |
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for v in tqdm(executor.map(get_body, docs), total=len(docs), colour='green'): |
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yield v |
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def get_body(r): |
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try: |
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if 'pdf' in r['formats']: |
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r['text'] = get_pdf_body(r) |
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elif 'docx' in r['formats']: |
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r['text'] = get_docx_body(r) |
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elif 'doc' in r['formats']: |
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r['text'] = get_doc_body(r) |
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elif 'xhtml' in r['formats']: |
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r['text'] = get_xhtml_body(r) |
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else: |
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log.warning(f"⚠️ Could not find a parser for {r['formats']}") |
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return r |
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except Exception as e: |
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log.error(str(e) + str(r)) |
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@clean_text |
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@memory.cache() |
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def get_pdf_body(r): |
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url = r['url'] |
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language = r['lang'] |
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accept = 'application/pdf' |
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response = requests.get(url, headers={'Accept': accept, 'Accept-Language': language, 'User-Agent': user_agent}) |
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if response.status_code == 300: |
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return " ".join(_multiple_choice(get_pdf_body, response, accept, language)) |
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elif response.status_code == 200: |
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mem = BytesIO(response.content) |
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return extract_text(mem) |
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@clean_text |
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@memory.cache() |
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def get_xhtml_body(r): |
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url = r['url'] |
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language = r['lang'] |
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accept = 'application/xhtml+xml' |
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response = requests.get(url, headers={'Accept': accept, 'Accept-Language': language, 'User-Agent': user_agent}) |
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if response.status_code == 300: |
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return " ".join(_multiple_choice(get_xhtml_body, response, accept, language)) |
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elif response.status_code == 200: |
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soup = BeautifulSoup(response.content, 'html.parser') |
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return soup.get_text() |
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def get_docx_body(r): |
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accept = 'application/vnd.openxmlformats-officedocument.wordprocessingml.document.main+xml' |
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url = r['url'] |
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lang = r['lang'] |
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try: |
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return _get_doc_body(url, accept, lang) |
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except AssertionError as e: |
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log.warning(f"⚠️ Could not download {url} {e}") |
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print(f"⚠️ Could not download {r} --- {accept} {e}") |
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return "" |
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def get_doc_body(r): |
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accept = 'application/msword' |
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url = r['url'] |
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lang = r['lang'] |
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try: |
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return _get_doc_body(url, accept, lang) |
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except AssertionError as e: |
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log.warning(f"⚠️ Could not download {url} {e}") |
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print(f"⚠️ Could not download {r} --- {accept} {e}") |
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return "" |
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def _multiple_choice(func, response, accept, language): |
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soup = BeautifulSoup(response.text, 'html.parser') |
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for link in soup.find_all('a'): |
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if 'href' in link.attrs: |
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url = link.attrs['href'] |
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yield func(url, accept, language) |
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@clean_text |
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@memory.cache() |
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def _get_doc_body(url, accept, language='en'): |
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response = requests.get(url, headers={'Accept': accept, 'Accept-Language': language, 'User-Agent': user_agent}) |
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if response.status_code == 300: |
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return " ".join(_multiple_choice(_get_doc_body, response, accept, language)) |
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elif response.status_code == 200: |
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mem = BytesIO(response.content) |
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log.info(f"📄 MS Word doc download and parsed {url}") |
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return docx2txt.process(mem) |
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else: |
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raise AssertionError(f"📄 MS Word doc download failed {url} {response.status_code} {response.content}") |
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if __name__ == '__main__': |
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output = sys.argv[1] |
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max = int(sys.argv[2]) |
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ofiles = {} |
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for i in range(max): |
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d = datetime.date.today() - datetime.timedelta(days=i) |
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print(d) |
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ym = d.strftime('%Y-%m') |
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if ym not in ofiles: |
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ofiles[ym] = open(output + ym + '.jsonl', 'w') |
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try: |
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for d in get_docs_text(d): |
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ofiles[ym].write(json.dumps(d) + '\n') |
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ofiles[ym].flush() |
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except Exception as e: |
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log.error('Day ' + str(d) + ' ' + str(e)) |
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print('Day ' + str(d) + ' ' + str(e)) |
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for f in ofiles.values(): |
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f.close() |
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