| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350 | import hashlibimport jsonimport mimetypesimport osimport reimport siteimport subprocessimport tempfileimport unicodedatafrom contextlib import contextmanagerfrom urllib.parse import unquoteimport requestsfrom bs4 import BeautifulSoup, CData, Comment, NavigableStringfrom newspaper import Articlefrom regex import regexfrom core.rag.extractor import extract_processorfrom core.rag.extractor.extract_processor import ExtractProcessorFULL_TEMPLATE = """TITLE: {title}AUTHORS: {authors}PUBLISH DATE: {publish_date}TOP_IMAGE_URL: {top_image}TEXT:{text}"""def page_result(text: str, cursor: int, max_length: int) -> str:    """Page through `text` and return a substring of `max_length` characters starting from `cursor`."""    return text[cursor: cursor + max_length]def get_url(url: str, user_agent: str = None) -> str:    """Fetch URL and return the contents as a string."""    headers = {        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"    }    if user_agent:        headers["User-Agent"] = user_agent    main_content_type = None    supported_content_types = extract_processor.SUPPORT_URL_CONTENT_TYPES + ["text/html"]    response = requests.head(url, headers=headers, allow_redirects=True, timeout=(5, 10))    if response.status_code != 200:        return "URL returned status code {}.".format(response.status_code)    # check content-type    content_type = response.headers.get('Content-Type')    if content_type:        main_content_type = response.headers.get('Content-Type').split(';')[0].strip()    else:        content_disposition = response.headers.get('Content-Disposition', '')        filename_match = re.search(r'filename="([^"]+)"', content_disposition)        if filename_match:            filename = unquote(filename_match.group(1))            extension = re.search(r'\.(\w+)$', filename)            if extension:                main_content_type = mimetypes.guess_type(filename)[0]    if main_content_type not in supported_content_types:        return "Unsupported content-type [{}] of URL.".format(main_content_type)    if main_content_type in extract_processor.SUPPORT_URL_CONTENT_TYPES:        return ExtractProcessor.load_from_url(url, return_text=True)    response = requests.get(url, headers=headers, allow_redirects=True, timeout=(120, 300))    a = extract_using_readabilipy(response.text)    if not a['plain_text'] or not a['plain_text'].strip():        return get_url_from_newspaper3k(url)    res = FULL_TEMPLATE.format(        title=a['title'],        authors=a['byline'],        publish_date=a['date'],        top_image="",        text=a['plain_text'] if a['plain_text'] else "",    )    return resdef get_url_from_newspaper3k(url: str) -> str:    a = Article(url)    a.download()    a.parse()    res = FULL_TEMPLATE.format(        title=a.title,        authors=a.authors,        publish_date=a.publish_date,        top_image=a.top_image,        text=a.text,    )    return resdef extract_using_readabilipy(html):    with tempfile.NamedTemporaryFile(delete=False, mode='w+') as f_html:        f_html.write(html)        f_html.close()    html_path = f_html.name    # Call Mozilla's Readability.js Readability.parse() function via node, writing output to a temporary file    article_json_path = html_path + ".json"    jsdir = os.path.join(find_module_path('readabilipy'), 'javascript')    with chdir(jsdir):        subprocess.check_call(["node", "ExtractArticle.js", "-i", html_path, "-o", article_json_path])    # Read output of call to Readability.parse() from JSON file and return as Python dictionary    with open(article_json_path, encoding="utf-8") as json_file:        input_json = json.loads(json_file.read())    # Deleting files after processing    os.unlink(article_json_path)    os.unlink(html_path)    article_json = {        "title": None,        "byline": None,        "date": None,        "content": None,        "plain_content": None,        "plain_text": None    }    # Populate article fields from readability fields where present    if input_json:        if input_json.get("title"):            article_json["title"] = input_json["title"]        if input_json.get("byline"):            article_json["byline"] = input_json["byline"]        if input_json.get("date"):            article_json["date"] = input_json["date"]        if input_json.get("content"):            article_json["content"] = input_json["content"]            article_json["plain_content"] = plain_content(article_json["content"], False, False)            article_json["plain_text"] = extract_text_blocks_as_plain_text(article_json["plain_content"])        if input_json.get("textContent"):            article_json["plain_text"] = input_json["textContent"]            article_json["plain_text"] = re.sub(r'\n\s*\n', '\n', article_json["plain_text"])    return article_jsondef find_module_path(module_name):    for package_path in site.getsitepackages():        potential_path = os.path.join(package_path, module_name)        if os.path.exists(potential_path):            return potential_path    return None@contextmanagerdef chdir(path):    """Change directory in context and return to original on exit"""    # From https://stackoverflow.com/a/37996581, couldn't find a built-in    original_path = os.getcwd()    os.chdir(path)    try:        yield    finally:        os.chdir(original_path)def extract_text_blocks_as_plain_text(paragraph_html):    # Load article as DOM    soup = BeautifulSoup(paragraph_html, 'html.parser')    # Select all lists    list_elements = soup.find_all(['ul', 'ol'])    # Prefix text in all list items with "* " and make lists paragraphs    for list_element in list_elements:        plain_items = "".join(list(filter(None, [plain_text_leaf_node(li)["text"] for li in list_element.find_all('li')])))        list_element.string = plain_items        list_element.name = "p"    # Select all text blocks    text_blocks = [s.parent for s in soup.find_all(string=True)]    text_blocks = [plain_text_leaf_node(block) for block in text_blocks]    # Drop empty paragraphs    text_blocks = list(filter(lambda p: p["text"] is not None, text_blocks))    return text_blocksdef plain_text_leaf_node(element):    # Extract all text, stripped of any child HTML elements and normalise it    plain_text = normalise_text(element.get_text())    if plain_text != "" and element.name == "li":        plain_text = "* {}, ".format(plain_text)    if plain_text == "":        plain_text = None    if "data-node-index" in element.attrs:        plain = {"node_index": element["data-node-index"], "text": plain_text}    else:        plain = {"text": plain_text}    return plaindef plain_content(readability_content, content_digests, node_indexes):    # Load article as DOM    soup = BeautifulSoup(readability_content, 'html.parser')    # Make all elements plain    elements = plain_elements(soup.contents, content_digests, node_indexes)    if node_indexes:        # Add node index attributes to nodes        elements = [add_node_indexes(element) for element in elements]    # Replace article contents with plain elements    soup.contents = elements    return str(soup)def plain_elements(elements, content_digests, node_indexes):    # Get plain content versions of all elements    elements = [plain_element(element, content_digests, node_indexes)                for element in elements]    if content_digests:        # Add content digest attribute to nodes        elements = [add_content_digest(element) for element in elements]    return elementsdef plain_element(element, content_digests, node_indexes):    # For lists, we make each item plain text    if is_leaf(element):        # For leaf node elements, extract the text content, discarding any HTML tags        # 1. Get element contents as text        plain_text = element.get_text()        # 2. Normalise the extracted text string to a canonical representation        plain_text = normalise_text(plain_text)        # 3. Update element content to be plain text        element.string = plain_text    elif is_text(element):        if is_non_printing(element):            # The simplified HTML may have come from Readability.js so might            # have non-printing text (e.g. Comment or CData). In this case, we            # keep the structure, but ensure that the string is empty.            element = type(element)("")        else:            plain_text = element.string            plain_text = normalise_text(plain_text)            element = type(element)(plain_text)    else:        # If not a leaf node or leaf type call recursively on child nodes, replacing        element.contents = plain_elements(element.contents, content_digests, node_indexes)    return elementdef add_node_indexes(element, node_index="0"):    # Can't add attributes to string types    if is_text(element):        return element    # Add index to current element    element["data-node-index"] = node_index    # Add index to child elements    for local_idx, child in enumerate(            [c for c in element.contents if not is_text(c)], start=1):        # Can't add attributes to leaf string types        child_index = "{stem}.{local}".format(            stem=node_index, local=local_idx)        add_node_indexes(child, node_index=child_index)    return elementdef normalise_text(text):    """Normalise unicode and whitespace."""    # Normalise unicode first to try and standardise whitespace characters as much as possible before normalising them    text = strip_control_characters(text)    text = normalise_unicode(text)    text = normalise_whitespace(text)    return textdef strip_control_characters(text):    """Strip out unicode control characters which might break the parsing."""    # Unicode control characters    #   [Cc]: Other, Control [includes new lines]    #   [Cf]: Other, Format    #   [Cn]: Other, Not Assigned    #   [Co]: Other, Private Use    #   [Cs]: Other, Surrogate    control_chars = set(['Cc', 'Cf', 'Cn', 'Co', 'Cs'])    retained_chars = ['\t', '\n', '\r', '\f']    # Remove non-printing control characters    return "".join(["" if (unicodedata.category(char) in control_chars) and (char not in retained_chars) else char for char in text])def normalise_unicode(text):    """Normalise unicode such that things that are visually equivalent map to the same unicode string where possible."""    normal_form = "NFKC"    text = unicodedata.normalize(normal_form, text)    return textdef normalise_whitespace(text):    """Replace runs of whitespace characters with a single space as this is what happens when HTML text is displayed."""    text = regex.sub(r"\s+", " ", text)    # Remove leading and trailing whitespace    text = text.strip()    return textdef is_leaf(element):    return (element.name in ['p', 'li'])def is_text(element):    return isinstance(element, NavigableString)def is_non_printing(element):    return any(isinstance(element, _e) for _e in [Comment, CData])def add_content_digest(element):    if not is_text(element):        element["data-content-digest"] = content_digest(element)    return elementdef content_digest(element):    if is_text(element):        # Hash        trimmed_string = element.string.strip()        if trimmed_string == "":            digest = ""        else:            digest = hashlib.sha256(trimmed_string.encode('utf-8')).hexdigest()    else:        contents = element.contents        num_contents = len(contents)        if num_contents == 0:            # No hash when no child elements exist            digest = ""        elif num_contents == 1:            # If single child, use digest of child            digest = content_digest(contents[0])        else:            # Build content digest from the "non-empty" digests of child nodes            digest = hashlib.sha256()            child_digests = list(                filter(lambda x: x != "", [content_digest(content) for content in contents]))            for child in child_digests:                digest.update(child.encode('utf-8'))            digest = digest.hexdigest()    return digest
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