Upstream adbar/trafilatura state of the touched files before 49484caaab

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# pylint:disable-msg=E0611
"""
Functions related to the main Trafilatura extractor.
"""
import logging
import re # import regex as re
from copy import deepcopy
from urllib.parse import urljoin
from lxml.etree import Element, SubElement, _Element, strip_elements, strip_tags, tostring
from lxml.html import HtmlElement
# own
from .htmlprocessing import (
delete_by_link_density,
handle_textnode,
link_density_test_tables,
process_node,
prune_unwanted_nodes,
)
from .settings import (
DEDUPE_SCAN_CAP,
INLINE_CARRIED,
INLINE_CONSUMING,
INLINE_FORMATTABLE,
MIN_DUPLICATE_LENGTH,
TAG_CATALOG,
Extractor,
)
from .utils import FORMATTING_PROTECTED, SPACING_PROTECTED, image_src, text_chars_test, trim
from .xml import delete_element, separates_inline
from .xpaths import (
BODY_XPATH,
COMMENTS_DISCARD_XPATH,
COMMENTS_XPATH,
DISCARD_IMAGE_ELEMENTS,
OVERALL_DISCARD_XPATH,
PRECISION_DISCARD_XPATH,
TEASER_DISCARD_XPATH,
)
LOGGER = logging.getLogger(__name__)
TABLE_ELEMS = {"td", "th"}
# meaningful internal attributes to carry onto a rewired sub-element (drop stray class/style/width/etc.)
KEEP_ATTRS = {"rend", "role", "target", "src", "alt", "title"}
CODES_QUOTES = {"code", "quote"}
# blocks rebuilt as new elements by handle_textelem(), which leaves the source tail behind
REBUILT_BLOCKS = CODES_QUOTES | {"list", "table"}
NOT_AT_THE_END = {"head", "ref"}
# tags allowed inside a blockquote paragraph
_QUOTE_TAGS = set(TAG_CATALOG) | {"ref", "graphic"}
def _elem_text(element: _Element) -> str:
"""Text rendering for the recovery/adjacent dedup checks here: plain concatenation, so
inline-tag boundaries stay joined ("Hyper<b>link</b>ed" -> "Hyperlinked"). Both sides of
these checks must use it, or invented spaces defeat the comparison. (deduplication.py's
duplicate_test uses its own " "-joined rendering for the separate LRU dedup.)
Not text_content(): callers pass lxml.etree elements, which lack that lxml.html method."""
return trim("".join(element.itertext()))
def _wraps_inline(element: _Element) -> bool:
"A formatting element whose children must be carried verbatim: ref, or hi/del wrapping inline content."
return len(element) > 0 and (element.tag == "ref" or any(c.tag in INLINE_CARRIED for c in element))
def _log_event(msg: str, tag: object, text: bytes | str | None) -> None:
"Format extraction event for debugging purposes."
LOGGER.debug("%s: %s %s", msg, tag, trim(text or "") or "None")
def handle_titles(element: _Element, options: Extractor) -> _Element | None:
"""Process head elements (titles)"""
if len(element) == 0:
title = process_node(element, options)
else:
title = deepcopy(element)
# children already consumed by an earlier pass over the same tree
strip_elements(title, "done")
for child in element.iterdescendants("*"):
child.tag = "done"
return title if is_text_element(title) else None
def handle_formatting(element: _Element, options: Extractor) -> _Element | None:
"""Process formatting elements (b, i, etc. converted to hi) found
outside of paragraphs"""
formatting = process_node(element, options)
if formatting is None:
return None
parent = element.getparent()
if parent is not None and parent.tag in FORMATTING_PROTECTED:
return formatting
# repair orphan elements
wrapper = Element("p")
wrapper.append(formatting)
return wrapper
def process_nested_elements(child: _Element, new_child_elem: _Element, options: Extractor) -> None:
"Iterate through an element child and rewire its descendants."
new_child_elem.text = child.text
for subelem in child.iterdescendants("*"):
if subelem.tag == "list":
_append_block(new_child_elem, handle_lists(subelem, options), subelem)
elif subelem.tag == "p" and len(subelem) > 0:
_append_block(new_child_elem, handle_paragraphs(subelem, _QUOTE_TAGS, options), subelem)
elif subelem.tag == "graphic":
_append_block(new_child_elem, handle_image(subelem, options), subelem)
elif subelem.tag in INLINE_CARRIED:
define_newelem(subelem, new_child_elem, keep_children=True)
else:
if len(subelem) > 0 and text_chars_test(subelem.tail):
# the tail follows the children, which are appended after this element
subelem[-1].tail, subelem.tail = f"{subelem[-1].tail or ''}{subelem.tail}", None
define_newelem(handle_textnode(subelem, options, comments_fix=False), new_child_elem)
subelem.tag = "done"
def _append_block(parent: _Element, processed: _Element | None, source: _Element) -> None:
"Append a processed block with the source tail, or keep that tail as text after the parent's content."
if processed is not None:
processed.tail = source.tail
parent.append(processed)
elif source.tail and text_chars_test(source.tail):
last = parent[-1] if len(parent) > 0 else None
before, tail = (parent.text if last is None else last.tail) or "", source.tail
# a dropped block still separates the text around it, a dropped image does not
if source.tag != "graphic" and (before or last is not None) and not before[-1:].isspace() and not tail[0].isspace():
tail = f" {tail}"
if last is None:
parent.text = before + tail
else:
last.tail = before + tail
def update_elem_rendition(elem: _Element, new_elem: _Element) -> None:
"Copy the rend attribute from an existing element to a new one."
if rend_attr := elem.get("rend"):
new_elem.set("rend", rend_attr)
def is_text_element(elem: _Element | None) -> bool:
"Find if the element contains text."
return elem is not None and text_chars_test("".join(elem.itertext())) is True
def _copy_attrs(source: _Element, target: _Element) -> None:
"Carry the meaningful internal attributes over to a rewired element."
for key, value in source.attrib.items():
if key in KEEP_ATTRS:
target.set(key, value)
def define_newelem(processed_elem: _Element | None, orig_elem: _Element, keep_children: bool = False) -> None:
"Create a new sub-element, optionally carrying its inline children (INLINE_CARRIED)."
if processed_elem is not None:
childelem = SubElement(orig_elem, processed_elem.tag)
childelem.text, childelem.tail = processed_elem.text, processed_elem.tail
_copy_attrs(processed_elem, childelem)
if keep_children:
for sub in processed_elem:
if sub.tag in INLINE_CARRIED or sub.tag == "lb":
define_newelem(sub, childelem, keep_children=True)
# mark only the carried subtree done; non-carried siblings (e.g. nested <p>) stay processable
for carried in sub.iter("*"):
carried.tag = "done"
def handle_lists(element: _Element, options: Extractor) -> _Element | None:
"Process lists elements including their descendants."
processed_element = Element(element.tag)
if text_chars_test(element.text):
new_child_elem = SubElement(processed_element, "item")
new_child_elem.text = element.text
for child in element.iterdescendants("item"):
# items of a nested list are processed by the recursive call and renamed "done",
# but lxml fetches the first of them before that happens: skip it here
if child.tag == "done":
continue
new_child_elem = Element("item")
if len(child) == 0:
processed_child = process_node(child, options)
if processed_child is not None:
new_child_elem.text = " ".join(filter(None, (processed_child.text, processed_child.tail)))
else:
process_nested_elements(child, new_child_elem, options)
if text_chars_test(child.tail) and len(new_child_elem) > 0:
last = new_child_elem[-1]
last.tail = f"{last.tail} {child.tail}" if text_chars_test(last.tail) else child.tail
if is_text_element(new_child_elem) or next(new_child_elem.iter("graphic"), None) is not None:
update_elem_rendition(child, new_child_elem)
processed_element.append(new_child_elem)
child.tag = "done"
element.tag = "done"
if is_text_element(processed_element):
update_elem_rendition(element, processed_element)
return processed_element
return None
def is_code_block_element(element: _Element) -> bool:
"Check if it is a code element according to common structural markers."
# pip
if element.get("lang") or element.tag == "code":
return True
# GitHub
parent = element.getparent()
if parent is not None and "highlight" in parent.get("class", ""):
return True
# highlightjs
code = element.find("code")
return code is not None and len(element) == 1 and not (element.text or "").strip() and not (code.tail or "").strip()
def handle_code_blocks(element: _Element) -> _Element:
"Turn element into a properly tagged code block."
processed_element = deepcopy(element)
for child in element.iter("*"):
child.tag = "done"
processed_element.tag = "code"
return processed_element
def handle_quotes(element: _Element, options: Extractor) -> _Element | None:
"Process quotes elements."
if is_code_block_element(element):
return handle_code_blocks(element)
processed_element = Element(element.tag)
process_nested_elements(element, processed_element, options)
if is_text_element(processed_element):
# avoid double/nested tags
strip_tags(processed_element, "quote")
return processed_element
return None
def handle_other_elements(element: _Element, potential_tags: set[str], options: Extractor) -> _Element | None:
"Handle diverse or unknown elements in the scope of relevant tags."
# handle w3schools code
if element.tag == "div" and "w3-code" in element.get("class", ""):
return handle_code_blocks(element)
if element.tag != "div" or "div" not in potential_tags:
if element.tag != "done":
_log_event("discarding element", element.tag, element.text)
return None
processed_element = handle_textnode(element, options, comments_fix=False, preserve_spaces=True)
if processed_element is None or not text_chars_test(processed_element.text):
return None
processed_element.attrib.clear()
processed_element.tag = "p"
return processed_element
def handle_paragraphs(element: _Element, potential_tags: set[str], options: Extractor) -> _Element | None:
"Process paragraphs along with their children, trim and clean the content."
# attrib.clear() verified unnecessary here (output_diff 0/1501, 2026-08)
# no children
if len(element) == 0:
return process_node(element, options)
# children
processed_element = Element(element.tag)
# unexpected children: keep their text in place
strip_tags(element, *{str(c.tag) for c in element.iterdescendants("*") if c.tag not in {*potential_tags, "done"}})
for child in element.iter("*"):
# todo: act on spacing here?
processed_child = handle_textnode(child, options, comments_fix=False, preserve_spaces=True)
if processed_child is not None:
# todo: needing attention!
if processed_child.tag == "p":
_log_event("extra in p", "p", processed_child.text)
processed_element.text = " ".join(filter(None, (processed_element.text, processed_child.text)))
child.tag = "done"
continue
# handle formatting
newsub = Element(child.tag)
if processed_child.tag in INLINE_CONSUMING:
# carry inline children verbatim (ref/hi/del wrapping formatting)
if _wraps_inline(processed_child):
define_newelem(processed_child, processed_element, keep_children=True)
child.tag = "done"
continue
# check depth and clean
for item in processed_child:
if item.tag == "lb" and item.tail:
item.tail = " " + item.tail.lstrip()
elif text_chars_test(item.text):
item.text = f" {item.text}"
strip_tags(processed_child, *{str(item.tag) for item in processed_child})
_copy_attrs(child, newsub)
newsub.text, newsub.tail = processed_child.text, processed_child.tail
if processed_child.tag == "graphic":
image_elem = handle_image(processed_child, options)
if image_elem is not None:
newsub = image_elem
processed_element.append(newsub)
child.tag = "done"
# finish
if len(processed_element) > 0:
last_elem = processed_element[-1]
# clean trailing lb-elements
if last_elem.tag == "lb" and last_elem.tail is None:
delete_element(last_elem)
return processed_element
# text_chars_test, not truthiness: layout wrappers (clearfix/spacer divs, cleared-out
# ad slots) leave indentation-only text, which used to be emitted as blank paragraphs
# and, sitting between two copies of a paragraph, also defeated the adjacent dedup
if text_chars_test(processed_element.text):
return processed_element
_log_event("discarding element:", "p", tostring(processed_element))
return None
def define_cell_type(is_header: bool) -> _Element:
"Determine cell element type and mint new element."
cell_element = Element("cell")
if is_header:
cell_element.set("role", "head")
return cell_element
_MAX_SPAN = 100
def _span(cell: _Element, attr: str) -> int:
"Parse a cell's col/rowspan, defaulting to 1, capped at _MAX_SPAN."
# isdecimal, not isdigit: int() rejects the superscripts isdigit() admits
value = cell.get(attr, "1")
return min(int(value), _MAX_SPAN) if value.isdecimal() else 1
def _flush_rowspan_phantoms(rowspan_map: dict[int, int], newrow: _Element) -> None:
"Insert empty placeholder cells for rowspan-occupied columns at the current row position."
while (col := len(newrow)) in rowspan_map:
newrow.append(define_cell_type(False))
rowspan_map[col] -= 1
if rowspan_map[col] == 0:
del rowspan_map[col]
def _finalize_row(newtable: _Element, newrow: _Element, rowspan_map: dict[int, int], max_cols: int) -> None:
"Close a row: insert trailing rowspan placeholders, pad to width, append if non-empty."
_flush_rowspan_phantoms(rowspan_map, newrow)
while len(newrow) < max_cols:
newrow.append(define_cell_type(False))
if any(cell.text or len(cell) > 0 for cell in newrow):
newtable.append(newrow)
def _fill_cell(
new_child_elem: _Element,
cell: _Element,
nested_elems: set[_Element],
ptags_with_div: set[str],
options: Extractor,
) -> None:
"Extract a source td/th cell's content into the new <cell>, rewiring inline and block children."
if len(cell) == 0:
processed_cell = process_node(cell, options)
if processed_cell is not None:
new_child_elem.text, new_child_elem.tail = processed_cell.text, processed_cell.tail
return
new_child_elem.text, new_child_elem.tail = cell.text, cell.tail
cell.tag = "done" # rename before inner walk so handle_formatting wraps orphan spans in <p>
for child in cell.iterdescendants():
if not isinstance(child.tag, str) or child.tag == "done":
continue
if child in nested_elems:
# nested tables are left to the main loop, their tail moves to the cell holding them
if child.tag == "table" and next(child.iterancestors("table")) not in nested_elems:
_append_block(new_child_elem, None, child)
child.tail = None
continue
if separates_inline(child) and not text_chars_test(child.tail):
new_child_elem.append(Element("lb"))
child.tag = "done"
continue
if child.tag in TABLE_ELEMS: # stray cell from malformed HTML
child.tag = "cell"
processed_subchild = handle_textnode(child, options, preserve_spaces=True)
elif child.tag in INLINE_CONSUMING:
processed_subchild = handle_textnode(child, options, preserve_spaces=True)
# handle_textnode drops inline wrappers (ref/hi/del) with children but no direct
# text (e.g. <ref><hi>link text</hi></ref>); carry the subtree directly instead
if processed_subchild is None and len(child) > 0:
processed_subchild = child
# lists in cells only in recall mode: keeping them otherwise is noise (measured precision loss)
elif child.tag == "list":
processed_list = handle_lists(child, options)
_append_block(new_child_elem, processed_list if options.focus == "recall" else None, child)
continue
else:
processed_subchild = handle_textelem(child, ptags_with_div, options)
define_newelem(processed_subchild, new_child_elem, keep_children=True)
child.tag = "done"
def handle_table(table_elem: _Element, potential_tags: set[str], options: Extractor) -> _Element | None:
"Process single table element."
newtable = Element("table")
ptags_with_div = potential_tags | {"div"}
# strip these structural elements
strip_tags(table_elem, "thead", "tbody", "tfoot")
# Collect elements inside nested <table> descendants. Used only in the inner cell
# walk: skip without "done"-marking so the main extraction loop can call handle_table()
# on each nested table separately. Must hold the elements (not id()) — lxml proxies are
# weakly referenced; id() values become stale as soon as the proxy is freed.
nested_elems: set[_Element] = set()
for nested_table in table_elem.iterdescendants("table"):
nested_elems.update(nested_table.iter())
# direct children only, nested tables are left to the main loop.
# Orphan cells join the current row but do not count for max_cols.
rows: list[list[_Element]] = [[]]
captions: list[str] = []
max_cols = 0
for elem in table_elem:
if elem.tag == "tr":
rows.append([cell for cell in elem if cell.tag in TABLE_ELEMS])
max_cols = max(max_cols, sum(_span(cell, "colspan") for cell in rows[-1]))
elif elem.tag in TABLE_ELEMS:
rows[-1].append(elem)
continue
elif elem.tag == "caption":
captions.append(" ".join(elem.itertext()).strip())
# text consumed above, not to be emitted again, images are left to the main loop
for sub in elem.iterdescendants("*"):
if sub.tag == "graphic":
sub.tail = None
else:
sub.tag = "done"
elif not isinstance(elem.tag, str) or elem.tag == "table":
continue
elem.tag = "done"
max_cols = min(max_cols, _MAX_SPAN)
for caption_text in filter(None, captions):
caption_cell = define_cell_type(True)
caption_cell.text = caption_text
caption_row = Element("row")
caption_row.append(caption_cell)
_finalize_row(newtable, caption_row, {}, max_cols)
header_row_emitted = False
rowspan_map: dict[int, int] = {} # col_idx → rows still spanned from a rowspan cell
for cells in rows:
newrow = Element("row")
row_has_th = False
for cell in cells:
is_header = cell.tag == "th" and not header_row_emitted
row_has_th = row_has_th or is_header
_flush_rowspan_phantoms(rowspan_map, newrow)
new_child_elem = define_cell_type(is_header)
colspan = _span(cell, "colspan")
# Track rowspan: mark all spanned columns as occupied for subsequent rows
rowspan = _span(cell, "rowspan")
if rowspan > 1:
for c in range(len(newrow), len(newrow) + colspan):
rowspan_map[c] = rowspan - 1
_fill_cell(new_child_elem, cell, nested_elems, ptags_with_div, options)
# add to tree (keep empty cells so column positions stay aligned)
newrow.append(new_child_elem)
# inline colspan: pad with empty cells so subsequent rows align
for _ in range(colspan - 1):
newrow.append(define_cell_type(is_header))
cell.tag = "done"
_finalize_row(newtable, newrow, rowspan_map, max_cols)
header_row_emitted = header_row_emitted or row_has_th
return newtable if len(newtable) > 0 else None
def handle_image(element: _Element, options: Extractor | None = None) -> _Element | None:
"Process image elements and their relevant attributes."
link = image_src(element)
if link is None:
return None
if not link.startswith("http"):
if options is not None and options.url is not None:
link = urljoin(options.url, link)
else:
link = re.sub(r"^//", "http://", link)
processed_element = Element(element.tag)
processed_element.set("src", link)
if alt_attr := element.get("alt"):
processed_element.set("alt", alt_attr)
if title_attr := element.get("title"):
processed_element.set("title", title_attr)
processed_element.tail = element.tail
return processed_element
def handle_textelem(element: _Element, potential_tags: set[str], options: Extractor) -> _Element | None:
"""Process text element and determine how to deal with its content"""
new_element = None
# bypass: nested elements
if element.tag == "list":
new_element = handle_lists(element, options)
elif element.tag in CODES_QUOTES:
new_element = handle_quotes(element, options)
elif element.tag == "head":
new_element = handle_titles(element, options)
elif element.tag == "p":
new_element = handle_paragraphs(element, potential_tags, options)
elif element.tag == "lb":
if text_chars_test(element.tail) is True:
this_element = process_node(element, options)
if this_element is not None:
new_element = Element("p")
new_element.text = this_element.tail
elif element.tag in INLINE_CONSUMING:
new_element = handle_formatting(element, options) # process_node(element, options)
elif element.tag == "table" and "table" in potential_tags:
new_element = handle_table(element, potential_tags, options)
elif element.tag == "graphic" and "graphic" in potential_tags:
new_element = handle_image(element, options)
else:
# other elements (div, ??, ??)
new_element = handle_other_elements(element, potential_tags, options)
return new_element
def recover_wild_text(
tree: HtmlElement,
result_body: _Element,
options: Extractor,
potential_tags: set[str] | None = None,
consumed: set[_Element] | None = None,
) -> _Element:
"""Look for all previously unconsidered wild elements, including outside of the determined
frame and throughout the document to recover potentially missing text parts.
Do not widen `search_expr` (e.g. headings, more div shapes) without benchmarking the
full suite: extra recovered text increases the extracted length, which can suppress
the stronger rescues that run after this one (compare_extraction, the baseline rescue,
the recall escalation).
"""
LOGGER.debug("Recovering wild text elements")
# copy: the recall branch below mutates potential_tags, must not leak back to the caller
potential_tags = set(TAG_CATALOG if potential_tags is None else potential_tags)
# blockquote/pre/q are already renamed to quote/code by convert_tags before this tree is built
search_expr = ".//code|.//p|.//quote|.//table|.//div[contains(@class, 'w3-code')]"
if options.focus == "recall":
potential_tags.update(["div", "lb"])
search_expr += "|.//div|.//lb|.//list"
# prune; in fast mode (no external comparator to defer to) keep teaser-class blocks, some of
# which are real content — this is the last-resort path after the confident extractor failed
search_tree = prune_unwanted_sections(tree, potential_tags, options, keep_teasers=options.fast)
subelems = search_tree.xpath(search_expr)
# dedup against the pre-main-pass snapshot: skip what the main pass already took -- exact
# match (not length-gated, #634; accepted cost: identical-text elements collapse) or a
# length-gated substring (a <p> folded into its <list> container)
elem_texts = [_elem_text(el) for el in result_body]
# newline-joined (trimmed element text has no newline) so no substring match spans two elements
existing = "\n".join(filter(None, elem_texts))
existing_elems = set(elem_texts)
# elements emitted or deduped whole: their descendants are covered
handled: set[_Element] = set()
for subelem in subelems:
if (consumed and subelem in consumed) or any(a in handled for a in subelem.iterancestors()):
continue
processed = handle_textelem(subelem, potential_tags, options)
if processed is None:
continue
if processed is subelem:
handled.add(subelem)
text = _elem_text(processed)
# image-only blocks have no text to compare, check their sources against the live body
images = {img.get("src") for img in processed.iter("graphic")}
if not text and images and images <= {g.get("src") for g in result_body.iter("graphic")}:
continue
# past the cap, the substring scan is skipped and `existing` stops growing
under_cap = len(existing) <= DEDUPE_SCAN_CAP
# a copy carrying its source tail is a fragment of a text run: no length gate
fragment = trim(text + (processed.tail or "")) if text_chars_test(processed.tail) else ""
if text and (
text in existing_elems
or (under_cap and ((len(text) > MIN_DUPLICATE_LENGTH and text in existing) or (fragment and fragment in existing)))
):
continue
result_body.append(processed)
if under_cap:
existing += "\n" + (fragment or text)
existing_elems.add(text)
return result_body
def prune_unwanted_sections(
tree: HtmlElement,
potential_tags: set[str],
options: Extractor,
keep_teasers: bool = False,
) -> HtmlElement:
"Rule-based deletion of targeted document sections"
favor_precision = options.focus == "precision"
# prune the rest
tree = prune_unwanted_nodes(tree, OVERALL_DISCARD_XPATH, with_backup=True)
# decide if images are preserved
if "graphic" not in potential_tags:
tree = prune_unwanted_nodes(tree, DISCARD_IMAGE_ELEMENTS)
# balance precision/recall
if options.focus != "recall":
# teaser-class blocks are sometimes real content; keep them on the recovery path,
# which only runs once the confident extractor has already come up short
if not keep_teasers:
tree = prune_unwanted_nodes(tree, TEASER_DISCARD_XPATH)
if favor_precision:
tree = prune_unwanted_nodes(tree, PRECISION_DISCARD_XPATH)
# remove elements by link density, several passes
for _ in range(2):
tree = delete_by_link_density(tree, "div", backtracking=True, favor_precision=favor_precision)
tree = delete_by_link_density(tree, "list", backtracking=False, favor_precision=favor_precision)
tree = delete_by_link_density(tree, "p", backtracking=False, favor_precision=favor_precision)
# tables
if "table" in potential_tags or favor_precision:
# collect before deleting: removing a table mid-iteration can make tree.iter() skip a table
# that follows a deleted one containing a nested table (iterator descends into the detached subtree)
boilerplate_tables = [elem for elem in tree.iter("table") if link_density_test_tables(elem) is True]
for elem in boilerplate_tables:
delete_element(elem, keep_tail=False)
if favor_precision:
# delete trailing titles
while len(tree) > 0 and (tree[-1].tag == "head"):
delete_element(tree[-1], keep_tail=False)
tree = delete_by_link_density(tree, "head", backtracking=False, favor_precision=True)
tree = delete_by_link_density(tree, "quote", backtracking=False, favor_precision=True)
# after the link density tests, which need the refs
strip_tags(tree, "span", *(() if "ref" in potential_tags else ("ref",)))
return tree
def _extract(tree: HtmlElement, options: Extractor) -> tuple[_Element, str, set[str]]:
# init
potential_tags = set(TAG_CATALOG)
if options.tables is True:
potential_tags.update(["table", "td", "th", "tr"])
if options.images is True:
potential_tags.add("graphic")
if options.links is True:
potential_tags.add("ref")
result_body = Element("body")
# iterate
for expr in BODY_XPATH:
# select tree if the expression has been found
subtree = next((s for s in expr(tree) if s is not None), None)
if subtree is None:
continue
# prune the subtree
subtree = prune_unwanted_sections(subtree, potential_tags, options)
# skip if empty tree
if len(subtree) == 0:
continue
# no paragraphs containing text, or not enough
ptest = subtree.xpath("//p//text()")
factor = 1 if options.focus == "precision" else 3
if not ptest or len("".join(ptest)) < options.min_extracted_size * factor:
potential_tags.add("div")
LOGGER.debug(sorted(potential_tags))
subelems = subtree.xpath(".//*")
# a single text run (only lb or inline elements): process the frame itself
# lb-only frames go there unconditionally, a failed main pass then hands them to the recovery
tags = {e.tag for e in subelems}
if tags == {"lb"} or (subtree.tag == "div" and "div" in potential_tags and tags <= INLINE_FORMATTABLE | {"lb"}):
subelems = [subtree]
# the frame's own text before its first child, kept if the frame is accepted
lead, start = None, len(result_body)
if subelems != [subtree] and text_chars_test(subtree.text):
lead = Element("p")
lead.text = subtree.text
lead = process_node(lead, options)
# extract content
for elem in subelems:
# handle_other_elements() emits a text-bearing div as-is, children and all, and
# appending it MOVES it into result_body. Its descendants are still in the list
# captured above, so revisiting one would emit its text twice -- an <lb> whose tail
# carries a paragraph turned into a duplicate of that paragraph. handle_paragraphs()
# marks the children it consumes "done"; this covers the elements it cannot retag.
if elem.getroottree().getroot() is result_body:
continue
# handlers may rename the element to "done", so read these first
tag, tail = elem.tag, elem.tail
processed_elem = handle_textelem(elem, potential_tags, options)
if processed_elem is not None:
result_body.append(processed_elem)
# a copy leaves its source behind for a later, wider subtree
if elem.getroottree().getroot() is not result_body:
elem.tag = "done"
# text right after a rebuilt block is a paragraph of its own, like an <lb> tail,
# unless the handler already carried it over (a code block copied as a whole)
if tag in REBUILT_BLOCKS and text_chars_test(tail) and (processed_elem is None or processed_elem.tail is None):
tail_elem = Element("p")
tail_elem.text = tail
if process_node(tail_elem, options) is not None:
result_body.append(tail_elem)
# remove trailing titles
while len(result_body) > 0 and (result_body[-1].tag in NOT_AT_THE_END):
delete_element(result_body[-1], keep_tail=False)
# exit once there is real content, not just a lone image
if sum(e.tag != "graphic" for e in result_body) > 1:
LOGGER.debug(trim(str(expr)))
if lead is not None:
result_body.insert(start, lead)
break
temp_text = " ".join(result_body.itertext()).strip()
return result_body, temp_text, potential_tags
def extract_content(cleaned_tree: HtmlElement, options: Extractor) -> tuple[_Element, str]:
"""Find the main content of a page using a set of XPath expressions,
then extract relevant elements, strip them of unwanted subparts and
convert them"""
# backup
backup_tree = deepcopy(cleaned_tree)
# source order before the main pass moves elements, the backup keeps it
order = list(cleaned_tree.iter())
result_body, temp_text, potential_tags = _extract(cleaned_tree, options)
# try parsing wild <p> elements if nothing found or text too short
# todo: test precision and recall settings here
if len(result_body) == 0 or len(temp_text) < options.min_extracted_size:
# copies of what the main pass consumed are not recovered again
consumed: set[_Element] = {twin for elem, twin in zip(order, backup_tree.iter(), strict=True) if elem.tag == "done"}
result_body = recover_wild_text(backup_tree, result_body, options, potential_tags, consumed)
temp_text = " ".join(result_body.itertext()).strip()
# drop substantial elements repeating the previous one (overlapping-candidate / recovery artifact);
# length-gated so short genuine repeats stay for the dedup (#778) and tree-size guards
previous = None
for el in list(result_body):
current = _elem_text(el)
if current and current == previous and len(current) > MIN_DUPLICATE_LENGTH:
delete_element(el, keep_tail=False)
else:
previous = current
# filter output
strip_elements(result_body, "done")
strip_tags(result_body, "div")
# stripping the divs above merges their indentation into the preceding <lb>'s tail, so an
# <lb> that only separated pruned blocks (ad slots, clearfix spacers) ends up carrying a
# run of whitespace -- rendered verbatim as blank, space-filled lines in txt/markdown.
# Inside code/pre that whitespace is the indentation itself, so leave those alone.
for linebreak in result_body.iter("lb"):
if (
linebreak.tail
and not text_chars_test(linebreak.tail)
and not any(anc.tag in SPACING_PROTECTED for anc in linebreak.iterancestors())
):
linebreak.tail = None
return result_body, temp_text
def extract_comments(tree: HtmlElement, options: Extractor) -> tuple[_Element, str, HtmlElement]:
"Try to extract comments out of potential sections in the HTML."
comments_body = Element("body")
# define iteration strategy
potential_tags = set(TAG_CATALOG) # not div: trouble with <div class="comment-author meta">
for expr in COMMENTS_XPATH:
# select tree if the expression has been found
subtree = next((s for s in expr(tree) if s is not None), None)
if subtree is None:
continue
# prune
subtree = prune_unwanted_nodes(subtree, COMMENTS_DISCARD_XPATH)
# todo: unified stripping function, taking include_links into account
strip_tags(subtree, "ref", "span")
for elem in subtree.xpath(".//*"):
if elem.tag in potential_tags and (processed := handle_textnode(elem, options, comments_fix=True)) is not None:
processed.attrib.clear()
comments_body.append(processed)
# control
if len(comments_body) > 0: # if it has children
LOGGER.debug(expr)
# remove corresponding subtree
delete_element(subtree, keep_tail=False)
break
return comments_body, " ".join(comments_body.itertext()).strip(), tree
+482
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# pylint:disable-msg=E0611
"""
X-Path expressions used to extract or filter the main text content,
and to extract metadata.
"""
from lxml.etree import XPath
REGEXP_NS = "http://exslt.org/regular-expressions"
def _alt(tokens: tuple[str, ...]) -> str:
"Join concept tokens into a regex alternation; reject an empty group (would match every element)."
if not tokens: # not an assert: must hold under python -O
raise ValueError("empty token group would make re:test(...) match everything")
return "|".join(tokens)
### 1. CONTENT
# Content-area token vocabulary for BODY_XPATH, grouped per stage, composed via _alt() into the
# re:test(...) alternations below.
_ARTICLE_CONTENT_ID_TOKENS = (
"(?:entry|article|art)-content",
"article__content",
"article(?:-|__)?body",
"articleBody",
"body-text",
)
_ARTICLE_CONTENT_CLASS_TOKENS = (
"post[-_]text",
"post-body",
"post-?entry",
"post[-_]?content",
"postContent",
"post_inner_wrapper",
"article-?text",
"articleText",
"(?:entry|page|text|article|art)-content",
"article__content",
"article(?:-|__)?body",
"articleBody",
"ArticleContent",
"body-text",
"article__container",
)
_STORY_ID_TOKENS = ("^primary", "story-body")
_STORY_CLASS_TOKENS = (
"^article ",
"post-bodycopy",
"story-?content",
"(?:theme|blog|section|single)-content",
"single-post",
"main-column",
"wpb_text_column",
"story-body",
"field-body",
)
_MAIN_CONTENT_ID_TOKENS = ("content-main", "content-body", "contentBody")
_MAIN_CONTENT_CLASS_TOKENS = ("content[-_]main", "content(?:-|__)body")
BODY_XPATH = [
XPath(
f"""
.//*[self::article or self::div or self::main or self::section][
@class='post' or @class='entry' or
@itemprop='articleBody' or @id='articleContent' or
re:test(@id, '{_alt(_ARTICLE_CONTENT_ID_TOKENS)}') or
re:test(@class, '{_alt(_ARTICLE_CONTENT_CLASS_TOKENS)}')
][1]
""",
namespaces={"re": REGEXP_NS},
),
# (…)[1] = first occurrence
XPath("(.//article)[1]"),
XPath(
f"""
(.//*[self::article or self::div or self::main or self::section][
@role='article' or
@id='article' or @id='story' or
@class='postarea' or @class='art-postcontent' or @class='text' or @class='cell' or @class='story' or
re:test(@id, '{_alt(_STORY_ID_TOKENS)}') or
re:test(@class, 'fulltext', 'i') or
re:test(@class, '{_alt(_STORY_CLASS_TOKENS)}')
])[1]
""",
namespaces={"re": REGEXP_NS},
),
XPath(
f"""
(.//*[self::article or self::div or self::main or self::section][
@id='content' or @class='content' or
re:test(@id, '{_alt(_MAIN_CONTENT_ID_TOKENS)}') or
re:test(@class, '{_alt(_MAIN_CONTENT_CLASS_TOKENS)}') or
contains(translate(@id, 'CM','cm'), 'main-content') or contains(translate(@class, 'CM','cm'), 'main-content') or
contains(translate(@class, 'CP','cp'), 'page-content')
])[1]
""",
namespaces={"re": REGEXP_NS},
),
XPath(
"""
(.//*[self::article or self::div or self::section][
starts-with(@class, 'main') or starts-with(@id, 'main') or starts-with(@role, 'main')])[1]|(.//main)[1]
"""
),
]
# starts-with(@id, "article") or
# or starts-with(@id, "story") or contains(@class, "story")
# starts-with(@class, "content ") or contains(@class, " content")
# '//div[contains(@class, "text") or contains(@class, "article-wrapper") or contains(@class, "content-wrapper")]',
# '//div[contains(@class, "article-wrapper") or contains(@class, "content-wrapper")]',
# |//*[self::article or self::div or self::main or self::section][contains(@class, "article") or contains(@class, "Article")]
# @id="content"or @class="content" or @class="Content"
# or starts-with(@class, 'post ')
# './/span[@class=""]', # instagram?
COMMENTS_XPATH = [
XPath(
"""
.//*[self::div or self::list or self::section][
re:test(@id|@class, 'comment-?list') or
re:test(@class, 'comment-page|comments-content|post-comments')]
""",
namespaces={"re": REGEXP_NS},
),
XPath(
"""
.//*[self::div or self::section or self::list][
re:test(@id|@class, '^comment[s-]') or
re:test(@class, '^Comments|article-comments')]
""",
namespaces={"re": REGEXP_NS},
),
XPath(
"""
.//*[self::div or self::section or self::list][
re:test(@id, '^(?:comol|disqus_thread|dsq-comments)')]
""",
namespaces={"re": REGEXP_NS},
),
XPath(
"""
.//*[self::div or self::section][
starts-with(@id, 'social') or contains(@class, 'comment')]
"""
),
]
# or contains(@class, 'Comments')
_COMMENTS_ID = "[Cc]omment(?!ary)|comol"
_COMMENTS_CLASS = "^[Cc]omment(?!ary)|(?:article|post)-comments"
REMOVE_COMMENTS_XPATH = [
XPath(
f"""
.//*[self::div or self::list or self::section or self::details][
re:test(@id, '^(?:{_COMMENTS_ID}|disqus_thread|dsq-comments)') or
re:test(@class, '{_COMMENTS_CLASS}')]
""",
namespaces={"re": REGEXP_NS},
)
]
# plus ol/ul comment lists, without the disqus ids, in one tree walk
REMOVE_COMMENTS_AND_LISTS_XPATH = [
XPath(
f"""
.//*[self::div or self::list or self::section or self::details or self::ol or self::ul][
re:test(@id, '^(?:{_COMMENTS_ID}|disqus_thread|dsq-comments)') or
re:test(@class, '{_COMMENTS_CLASS}')][
not(self::ol or self::ul) or re:test(@id, '^(?:{_COMMENTS_ID})') or re:test(@class, '{_COMMENTS_CLASS}')]
""",
namespaces={"re": REGEXP_NS},
)
]
# or self::span
# or contains(@class, 'comment') or contains(@id, 'comment')
# Raw-tree prune, kept out of OVERALL_DISCARD_XPATH because its over-pruning guard would revert it.
RAW_TREE_PRUNE_XPATH = [
# infinite-scroll containers holding whole follow-up articles ("mvp-post-add": Zox News theme),
# such pages are mostly appended articles, a generic container holding the h1 is the real one
XPath(
"""
.//*[self::div or self::section or self::aside][
re:test(@id, 'mvp-post-add-(?:box|wrap)|infinite-?scroll') or
re:test(@class, 'mvp-post-add-(?:box|wrap)|infinite-?scroll')][
not(.//h1) or re:test(@id, 'mvp-post-add-(?:box|wrap)') or re:test(@class, 'mvp-post-add-(?:box|wrap)')]
""",
namespaces={"re": REGEXP_NS},
),
# OVERALL_DISCARD_XPATH's "share-" token matches these already, but its "widget" token
# also matches the article body ("elementor-widget")
XPath(".//*[self::div or self::section or self::aside][contains(@class, 'elementor-share-buttons')]"),
]
# OVERALL_DISCARD_XPATH boilerplate token vocabulary, grouped by concept, composed via _alt()
# below. _LEGACY_SITE_* = single-site/legacy tokens (provenance + per-token audit in memory).
_SHARE_SOCIAL_ID_CLASS_TOKENS = ("^shar", "social", "viral")
_NEWSLETTER_ID_CLASS_TOKENS = ("newsletter", "syndication")
_CONSENT_ID_CLASS_TOKENS = ("cookie",)
_TAGS_ID_CLASS_TOKENS = ("tags",)
_UI_CHROME_ID_CLASS_TOKENS = ("sidebar", "banner", "bread-?crumb", "button")
_AUTHOR_ID_CLASS_TOKENS = ("author",)
_LEGACY_SITE_ID_TOKENS = ("^(?:jp-|dpsp-content)", "bmdh")
_FOOTER_ID_TOKENS = ("footer", "Footer")
_SHARE_ID_TOKENS = ("share", "Share")
_NAV_ID_TOKENS = ("nav", "Nav", "menu")
_RELATED_ID_TOKENS = ("related",)
_UI_CHROME_ID_TOKENS = ("message-container",)
_PAYWALL_ID_TOKENS = ("premium",)
_AD_ID_TOKENS = ("^ad-",)
_NAV_CLASS_TOKENS = ("^(?:nav|post-nav|ZendeskForm)", "subnav", "avigation", "navbar", "navbox", "menu", "bar")
_AD_CLASS_TOKENS = (
" ad ",
"-ad-",
"(?:^| )ad-",
"dfp[Aa]d",
"outbrain",
"taboola",
"criteo",
"paid-?content",
"widget",
)
_FOOTER_CLASS_TOKENS = ("footer", "Footer")
_AUTHOR_CLASS_TOKENS = ("byline", "Byline")
_SHARE_CLASS_TOKENS = ("share-", "sociable", "embedded", "embed")
_TAGS_CLASS_TOKENS = ("tag-list",)
_CONSENT_CLASS_TOKENS = ("consent", "modal-content", "permission")
_RELATED_CLASS_TOKENS = ("elated", "next-", "-stories", "most-popular", "more-on")
_UI_META_CLASS_TOKENS = (
"meta",
"rating",
"attachment",
"timestamp",
"user-info",
"user-profile",
"-icon",
"article-infos",
"message-container",
"slide",
"viewport",
"overlay",
)
_MISC_CLASS_TOKENS = ("options", "expand", "obfuscated", "blurred")
_LEGACY_SITE_CLASS_TOKENS = ("mol-factbox", "yin", "zlylin", "nfoline")
# id/class concept tokens, checked on BOTH attributes in the xpath below. NOTE re:test(@id|@class,...)
# tests only the SOURCE-FIRST attribute (XPath string(node-set)=first node), so each is applied
# per-attribute. 'cookie' (_CONSENT_ID_CLASS_TOKENS) is deliberately kept first-attr-only (via the
# @id|@class clause): pages ABOUT cookies carry the token on real content, so both-attr over-discards.
_OVERALL_DISCARD_BOTH_TOKENS = (
_SHARE_SOCIAL_ID_CLASS_TOKENS
+ _NEWSLETTER_ID_CLASS_TOKENS
+ _TAGS_ID_CLASS_TOKENS
+ _UI_CHROME_ID_CLASS_TOKENS
+ _AUTHOR_ID_CLASS_TOKENS
)
_OVERALL_DISCARD_ID_TOKENS = (
_LEGACY_SITE_ID_TOKENS
+ _FOOTER_ID_TOKENS
+ _SHARE_ID_TOKENS
+ _NAV_ID_TOKENS
+ _RELATED_ID_TOKENS
+ _UI_CHROME_ID_TOKENS
+ _PAYWALL_ID_TOKENS
+ _AD_ID_TOKENS
)
_OVERALL_DISCARD_CLASS_TOKENS = (
_NAV_CLASS_TOKENS
+ _AD_CLASS_TOKENS
+ _FOOTER_CLASS_TOKENS
+ _AUTHOR_CLASS_TOKENS
+ _SHARE_CLASS_TOKENS
+ _TAGS_CLASS_TOKENS
+ _CONSENT_CLASS_TOKENS
+ _RELATED_CLASS_TOKENS
+ _UI_META_CLASS_TOKENS
+ _MISC_CLASS_TOKENS
+ _LEGACY_SITE_CLASS_TOKENS
)
OVERALL_DISCARD_XPATH = [
XPath(
f"""
.//*[self::div or self::item or self::list or self::p or self::section or self::span][
@data-lp-replacement-content or
contains(translate(@role, 'N', 'n'), 'nav') or
contains(@data-component, 'MostPopularStories') or
re:test(@id|@class, '{_alt(_CONSENT_ID_CLASS_TOKENS)}') or
re:test(@id, '{_alt(_OVERALL_DISCARD_BOTH_TOKENS + _OVERALL_DISCARD_ID_TOKENS)}') or
re:test(@class, '{_alt(_OVERALL_DISCARD_BOTH_TOKENS + _OVERALL_DISCARD_CLASS_TOKENS)}')]
""",
namespaces={"re": REGEXP_NS},
),
XPath(
"""
.//*[@class='comments-title' or
starts-with(@id|@class, 'reply-') or
re:test(@id|@style, 'hidden') or
contains(@style, 'display:none') or contains(@style, 'display: none') or
re:test(@id, 'reader-comments|akismet') or
re:test(@class, '^hide-|comments-title|nocomments|-reply-|message|akismet|suggest-links|-hide-|hide-print| hidden| hide|noprint|notloaded') or @aria-hidden='true']
""",
namespaces={"re": REGEXP_NS},
),
]
# conflicts:
# contains(@id, "header") or contains(@class, "header") or
# class contains "cats" (categories, also tags?)
# or contains(@class, "hidden ") or contains(@class, "-hide")
# or contains(@class, "paywall")
# contains(@class, "content-info") or contains(@class, "content-title")
# contains(translate(@class, "N", "n"), "nav") or
# contains(@class, "panel") or
# or starts-with(@id, "comment-")
# the following conditions focus on extraction precision
TEASER_DISCARD_XPATH = [
XPath(
"""
.//*[self::div or self::item or self::list or self::p or self::section or self::span][
contains(translate(@id, 'T', 't'), 'teaser') or contains(translate(@class, 'T', 't'), 'teaser')]
"""
)
]
PRECISION_DISCARD_XPATH = [
XPath(""".//header"""),
# 'link' matched as a whole class token, not a substring (that dropped permalink/headline-link/
# etc.); still drops class="link" (guarded by test_precision_recall). 'border' = substring.
# 'bottom' must start or end a token: page-bottom chrome is named 'bottom'/'bottom-bar'/
# 'article-bottom', whereas a mid-token 'bottom' is a CSS spacing utility
# ('Padding-bottom-lg-30', 'border-bottom-0') that layout wrappers put on real content.
XPath(
r"""
.//*[self::div or self::item or self::list or self::p or self::section or self::span][
re:test(@id|@class, '(^|\s)bottom|bottom(\s|$)') or re:test(@id|@class, '(^|\s)link(\s|$)') or
contains(@style, 'border')]
""",
namespaces={"re": REGEXP_NS},
),
]
# or contains(@id, "-comments") or contains(@class, "-comments")
DISCARD_IMAGE_ELEMENTS = [
XPath(
"""
.//*[self::div or self::item or self::list or self::p or self::section or self::span][
contains(@id, 'caption') or contains(@class, 'caption')]
"""
)
]
COMMENTS_DISCARD_XPATH = [
XPath(""".//*[self::div or self::section][starts-with(@id, 'respond')]"""),
XPath(""".//cite|.//quote"""),
XPath(
"""
.//*[
@class='comments-title' or
contains(@style, 'display:none') or
re:test(@class, 'comments-title|nocomments|-reply-|message|signin') or
re:test(@id|@class, '^reply-|akismet')]
""",
namespaces={"re": REGEXP_NS},
),
]
### 2. METADATA
# the order or depth of XPaths could be changed after exhaustive testing
AUTHOR_XPATHS = [
XPath(
# specific and almost specific
"""
//*[self::a or self::address or self::div or self::link or self::p or self::span or self::strong][
@rel='author' or @id='author' or @class='author' or @itemprop='author name' or rel='me' or
@data-testid='AuthorCard' or @data-testid='AuthorURL' or
re:test(@class, 'author-?name|AuthorName|authorName')]|//author
""",
namespaces={"re": REGEXP_NS},
),
XPath(
# almost generic and generic, last ones not common
"""
//*[self::a or self::div or self::h3 or self::h4 or self::p or self::span][
@class='byline' or @class='username' or @class='byl' or @class='BBL' or
contains(@itemprop, 'author') or
re:test(@id, 'author|zuozhe|bianji|xiaobian') or
re:test(@class, 'author|channel-name|zuozhe|bianji|xiaobian|submitted-by|posted-by|journalist-name')]
""",
namespaces={"re": REGEXP_NS},
),
XPath(
# last resort: any element
"""
//*[
contains(@data-component, 'Byline') or contains(@itemprop, 'author') or
re:test(@id, '[Aa]uthor') or
re:test(@class, '[Aa]uthor|screenname|writer|[Bb]yline')]
""",
namespaces={"re": REGEXP_NS},
),
]
AUTHOR_DISCARD_XPATHS = [
XPath(
"""
.//*[self::a or self::div or self::section or self::span][
@id='comments' or @class='comments' or @class='title' or @class='date' or
re:test(@id, '^comments|comment-?list|ProductReviews') or
re:test(@class, '^[Cc]omments|commentlist|comments-list|sidebar|is-hidden|quote|embedly-instagram|article-(?:share|support)|print|category|meta-date|meta-reviewer') or
contains(@data-component, 'Figure')]
""",
namespaces={"re": REGEXP_NS},
),
XPath("//time|//figure"),
]
CATEGORIES_XPATHS = [
XPath(
"""
//div[
re:test(@class, '^(?:post-?info|post-?meta|meta|entry-meta|entry-info|entry-utility)') or
starts-with(@id, 'postpath')]//a[@href]
""",
namespaces={"re": REGEXP_NS},
),
XPath("""//p[starts-with(@class, 'postmeta') or starts-with(@class, 'entry-categories') or
@class='postinfo' or @id='filedunder']//a[@href]"""),
XPath("""//footer[starts-with(@class, 'entry-meta') or starts-with(@class, 'entry-footer')]//a[@href]"""),
XPath("""//*[self::li or self::span][@class='post-category' or @class='postcategory' or
@class='entry-category' or contains(@class, 'cat-links')]//a[@href]"""),
XPath("""//header[@class='entry-header']//a[@href]"""),
XPath("""//div[@class='row' or @class='tags']//a[@href]"""),
]
# "//*[self::div or self::p][contains(@class, 'byline')]",
TAGS_XPATHS = [
XPath("""//div[@class='tags']//a[@href]"""),
XPath("""//p[starts-with(@class, 'entry-tags')]//a[@href]"""),
XPath(
"""//div[@class='row' or @class='jp-relatedposts' or @class='entry-utility' or
re:test(@class, '^(?:tag|postmeta|meta)')]//a[@href]""",
namespaces={"re": REGEXP_NS},
),
XPath("""//*[@class='entry-meta' or contains(@class, 'topics') or
contains(@class, 'tags-links')]//a[@href]"""),
]
# "related-topics"
# https://github.com/grangier/python-goose/blob/develop/goose/extractors/tags.py
TITLE_XPATHS = [
XPath(
"""
//*[self::h1 or self::h2][
re:test(@class, '(?:post-|entry-|article-|post__)title|headline') or
contains(@id, 'headline') or contains(@itemprop, 'headline')]
""",
namespaces={"re": REGEXP_NS},
),
XPath("""//*[@class='entry-title' or @class='post-title']"""),
XPath("""//*[self::h1 or self::h2 or self::h3][
contains(@class, 'title') or contains(@id, 'title')]"""),
]
# json-ld headline
# '//header/h1',