Spaces:
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[BETA] Add GlobalPlatorm support
Browse files
app.py
CHANGED
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@@ -6,10 +6,22 @@ from nltk.stem import WordNetLemmatizer
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from dotenv import load_dotenv
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from sklearn.preprocessing import MinMaxScaler
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warnings.filterwarnings('ignore')
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nltk.download('wordnet')
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load_dotenv()
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from datasets import load_dataset
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import bm25s
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@@ -23,9 +35,6 @@ from fastapi.staticfiles import StaticFiles
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from schemas import *
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from classes import *
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from bs4 import BeautifulSoup
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import requests
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lemmatizer = WordNetLemmatizer()
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spec_metadatas_3gpp = load_dataset("OrganizedProgrammers/3GPPSpecMetadata")
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@@ -41,9 +50,55 @@ spec_contents_etsi = spec_contents_etsi["train"].to_list()
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spec_metadatas_etsi = spec_metadatas_etsi["train"].to_list()
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tdoc_locations = tdoc_locations_3gpp["train"].to_list()
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bm25_index_3gpp = BM25HF.load_from_hub("OrganizedProgrammers/3GPPBM25IndexSingle", load_corpus=True, token=os.environ["HF_TOKEN"])
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bm25_index_etsi = BM25HF.load_from_hub("OrganizedProgrammers/ETSIBM25IndexSingle", load_corpus=True, token=os.environ["HF_TOKEN"])
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def get_docs_from_url(url):
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"""Get list of documents/directories from a URL"""
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try:
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@@ -74,6 +129,22 @@ def get_document(spec_id: str, spec_title: str, source: str):
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text.extend([section['section'], section['content']])
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return text
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tags_metadata = [
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{
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"name": "Document Retrieval",
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@@ -153,11 +224,21 @@ def frontend():
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def find_document(request: DocRequest):
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start_time = time.time()
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document = request.doc_id
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url = get_tdoc_url(document) if valid_3gpp_doc_format.match(document) else \
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get_spec_url(document) if valid_3gpp_spec_format.match(document) else \
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etsi_doc_finder.search_document(document) if valid_etsi_doc_format.match(document) else \
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etsi_spec_finder.search_document(document) if valid_etsi_spec_format.match(document) else "Document ID not supported"
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if "Specification" in url or "Document" in url:
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raise HTTPException(status_code=404, detail=url)
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@@ -203,11 +284,20 @@ def find_document_batch(request: BatchDocRequest):
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missing = []
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for document in documents:
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if "Specification" in url or "Document" in url:
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missing.append(document)
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else:
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from dotenv import load_dotenv
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from sklearn.preprocessing import MinMaxScaler
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from bs4 import BeautifulSoup
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import requests
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from urllib.parse import parse_qs, urlparse
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warnings.filterwarnings('ignore')
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nltk.download('wordnet')
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load_dotenv()
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os.environ['CURL_CA_BUNDLE'] = ""
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from huggingface_hub import configure_http_backend
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def backend_factory() -> requests.Session:
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session = requests.Session()
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session.verify = False
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return session
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configure_http_backend(backend_factory=backend_factory)
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from datasets import load_dataset
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import bm25s
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from schemas import *
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from classes import *
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lemmatizer = WordNetLemmatizer()
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spec_metadatas_3gpp = load_dataset("OrganizedProgrammers/3GPPSpecMetadata")
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spec_metadatas_etsi = spec_metadatas_etsi["train"].to_list()
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tdoc_locations = tdoc_locations_3gpp["train"].to_list()
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bm25_index_3gpp = BM25HF.load_from_hub("OrganizedProgrammers/3GPPBM25IndexSingle", load_corpus=True, token=os.environ["HF_TOKEN"], )
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bm25_index_etsi = BM25HF.load_from_hub("OrganizedProgrammers/ETSIBM25IndexSingle", load_corpus=True, token=os.environ["HF_TOKEN"])
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def extract_args_and_map(href):
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if not href or not href.lower().startswith('javascript:'):
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return None
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js = href[len('javascript:'):].strip()
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m = re.match(r'\w+\((.*)\)', js)
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if not m:
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return None
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args_str = m.group(1).strip()
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parts = [part.strip() for part in args_str.split(',', 1)]
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if len(parts) != 2:
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return None
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try:
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media_id = int(parts[0])
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except ValueError:
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return None
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spec_type = parts[1].strip()
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if (spec_type.startswith("'") and spec_type.endswith("'")) or (spec_type.startswith('"') and spec_type.endswith('"')):
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spec_type = spec_type[1:-1]
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return media_id, spec_type
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url = "https://globalplatform.org/wp-content/themes/globalplatform/ajax/specs-library.php"
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headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36"}
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resp = requests.post(url, verify=False, headers=headers)
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soup = BeautifulSoup(resp.text, 'html.parser')
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panels = soup.find_all('div', class_='panel panel-default')
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gp_spec_locations = {}
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for panel in panels:
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header = ''.join([t for t in panel.find('a').children if t.name is None]).strip()
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try:
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title, doc_id = header.split(' | ')
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panel_body = panel.find('div', class_='panel-body')
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download_btn_href = panel_body.find_all('a', href=lambda href: href and href.strip().lower().startswith('javascript:'))[0]
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media_id, spec_type = extract_args_and_map(download_btn_href['href'])
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changes_history = panel.find_all('div', class_="row")
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paragraphs_ch = [version.find('p').text for version in changes_history][::-1]
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document_commits = []
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for version in range(len(paragraphs_ch)):
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document_commits.append(f"Version {version + 1} : {paragraphs_ch[version]}")
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gp_spec_locations[doc_id] = {"title": title, "file_id": media_id, "committee": spec_type, "summary": "\n".join(document_commits)}
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except:
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continue
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def get_docs_from_url(url):
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"""Get list of documents/directories from a URL"""
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try:
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text.extend([section['section'], section['content']])
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return text
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def get_gp_spec_url(data):
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file_id = data['file_id']
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spec_type = data['committee']
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url = "https://globalplatform.org/wp-content/themes/globalplatform/ajax/download-spec-submit.php"
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headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36"}
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resp = requests.post(url, verify=False, headers=headers, data={"first_name": "", "last_name": "", "company": "", "email": "", "media_id": file_id, "spec_type": spec_type, "agree": "true"})
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r = resp.text
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mat = re.search(r"window\.location\.href\s*=\s*'([^']+)'", r)
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if mat:
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full_url = mat.group(1)
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parsed_url = urlparse(full_url)
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query_params = parse_qs(parsed_url.query)
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return query_params.get('f')[0]
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tags_metadata = [
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{
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"name": "Document Retrieval",
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def find_document(request: DocRequest):
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start_time = time.time()
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document = request.doc_id
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if valid_3gpp_doc_format.match(document):
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url = get_tdoc_url(document)
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elif valid_3gpp_spec_format.match(document):
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url = get_spec_url(document)
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elif valid_etsi_doc_format.match(document):
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etsi_doc_finder.search_document(document)
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elif valid_etsi_spec_format.match(document):
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etsi_spec_finder.search_document(document)
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elif document.startswith("GP"):
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for sp in gp_spec_locations:
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if document.lower() in sp.lower():
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url = get_gp_spec_url(gp_spec_locations[sp])
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else:
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url = "Document ID not supported"
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if "Specification" in url or "Document" in url:
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raise HTTPException(status_code=404, detail=url)
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missing = []
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for document in documents:
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if valid_3gpp_doc_format.match(document):
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url = get_tdoc_url(document)
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elif valid_3gpp_spec_format.match(document):
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url = get_spec_url(document)
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elif valid_etsi_doc_format.match(document):
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etsi_doc_finder.search_document(document)
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elif valid_etsi_spec_format.match(document):
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etsi_spec_finder.search_document(document)
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elif document.startswith("GP"):
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for sp in gp_spec_locations:
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if document.lower() in sp.lower():
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url = get_gp_spec_url(gp_spec_locations[sp])
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else:
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url = "Document ID not supported"
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if "Specification" in url or "Document" in url:
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missing.append(document)
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else:
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