from functools import lru_cache

from loguru import logger
from typing import List
import html
import json
import os
import re

# HTML added to be sure each result matching a filter (.example) gets converted to a new line by Inscriptis
TEXT_FILTER_LIST_LINE_SUFFIX = "<br>"
TRANSLATE_WHITESPACE_TABLE = str.maketrans('', '', '\r\n\t ')
PERL_STYLE_REGEX = r'^/(.*?)/([a-z]*)?$'

TITLE_RE = re.compile(r"<title[^>]*>(.*?)</title>", re.I | re.S)
META_CS  = re.compile(r'<meta[^>]+charset=["\']?\s*([a-z0-9_\-:+.]+)', re.I)

# jq builtins that can leak sensitive data or cause harm when user-supplied expressions are executed.
# env/$ENV reads all process environment variables (passwords, API keys, etc.)
# include/import can read arbitrary files from disk
# input/inputs reads beyond the supplied JSON data
# debug/stderr leaks data to stderr
# halt/halt_error terminates the process (DoS)
_JQ_BLOCKED_PATTERNS = [
    (re.compile(r'\benv\b'),                    'env (reads environment variables)'),
    (re.compile(r'\$ENV\b'),                    '$ENV (reads environment variables)'),
    (re.compile(r'\binclude\b'),                'include (reads files from disk)'),
    (re.compile(r'\bimport\b'),                 'import (reads files from disk)'),
    (re.compile(r'\binputs?\b'),                'input/inputs (reads beyond provided data)'),
    (re.compile(r'\bdebug\b'),                  'debug (leaks data to stderr)'),
    (re.compile(r'\bstderr\b'),                 'stderr (leaks data to stderr)'),
    (re.compile(r'\bhalt(?:_error)?\b'),        'halt/halt_error (terminates the process)'),
    (re.compile(r'\$__loc__\b'),                '$__loc__ (leaks file path information)'),
    (re.compile(r'\bbuiltins\b'),               'builtins (enumerates available functions)'),
    (re.compile(r'\bmodulemeta\b'),             'modulemeta (leaks module information)'),
    (re.compile(r'\$JQ_BUILD_CONFIGURATION\b'), '$JQ_BUILD_CONFIGURATION (leaks build information)'),
]

def validate_jq_expression(expression: str) -> None:
    """Raise ValueError if the jq expression uses any dangerous builtin.

    User-supplied jq expressions are executed server-side. Without this check,
    builtins like `env` expose every process environment variable (SALTED_PASS,
    proxy credentials, API keys, etc.) as watch output.
    """
    from changedetectionio.strtobool import strtobool
    if strtobool(os.getenv('JQ_ALLOW_RISKY_EXPRESSIONS', 'false')):
        return

    for pattern, description in _JQ_BLOCKED_PATTERNS:
        if pattern.search(expression):
            msg = f"jq expression uses disallowed builtin: {description}"
            logger.critical(f"Security: blocked jq expression containing '{description}' - expression: {expression!r}")
            raise ValueError(msg)

META_CT  = re.compile(r'<meta[^>]+http-equiv=["\']?content-type["\']?[^>]*content=["\'][^>]*charset=([a-z0-9_\-:+.]+)', re.I)

# 'price' , 'lowPrice', 'highPrice' are usually under here
# All of those may or may not appear on different websites - I didnt find a way todo case-insensitive searching here
LD_JSON_PRODUCT_OFFER_SELECTORS = ["json:$..offers", "json:$..Offers"]

class JSONNotFound(ValueError):
    def __init__(self, msg):
        ValueError.__init__(self, msg)


_DEFAULT_UNSAFE_XPATH3_FUNCTIONS = [
    'unparsed-text',
    'unparsed-text-lines',
    'unparsed-text-available',
    'doc',
    'doc-available',
    'json-doc',
    'json-doc-available',
    'collection',           # XPath 2.0+: loads XML node collections from arbitrary URIs
    'uri-collection',       # XPath 3.0+: enumerates URIs from resource collections
    'transform',            # XPath 3.1: XSLT transformation (currently raises, block proactively)
    'load-xquery-module',   # XPath 3.1: loads XQuery modules (currently raises, block proactively)
    'environment-variable',
    'available-environment-variables',
]


def _build_safe_xpath3_parser():
    """Return an XPath3Parser subclass with filesystem/environment access functions removed.

    XPath 3.0 includes functions that can read arbitrary files or environment variables:
      - unparsed-text / unparsed-text-lines / unparsed-text-available  (file read)
      - doc / doc-available                                             (XML fetch from URI)
      - environment-variable / available-environment-variables         (env var leakage)

    Subclassing gives us an independent symbol_table copy (not shared with the parent class),
    so removing entries here does not affect XPath3Parser itself.

    Override the blocked list via the XPATH_BLOCKED_FUNCTIONS environment variable
    (comma-separated, e.g. "unparsed-text,doc,environment-variable").
    """
    import os
    from elementpath.xpath3 import XPath3Parser

    class SafeXPath3Parser(XPath3Parser):
        pass

    env_override = os.getenv('XPATH_BLOCKED_FUNCTIONS')
    if env_override is not None:
        blocked = [f.strip() for f in env_override.split(',') if f.strip()]
    else:
        blocked = _DEFAULT_UNSAFE_XPATH3_FUNCTIONS

    for _fn in blocked:
        SafeXPath3Parser.symbol_table.pop(_fn, None)

    return SafeXPath3Parser


# Module-level singleton — built once, reused everywhere.
SafeXPath3Parser = _build_safe_xpath3_parser()

# Doesn't look like python supports forward slash auto enclosure in re.findall
# So convert it to inline flag "(?i)foobar" type configuration
@lru_cache(maxsize=100)
def perl_style_slash_enclosed_regex_to_options(regex):

    res = re.search(PERL_STYLE_REGEX, regex, re.IGNORECASE)

    if res:
        flags = res.group(2) if res.group(2) else 'i'
        regex = f"(?{flags}){res.group(1)}"
    else:
        # Fall back to just ignorecase as an option
        regex = f"(?i){regex}"

    return regex

# Given a CSS Rule, and a blob of HTML, return the blob of HTML that matches
def include_filters(include_filters, html_content, append_pretty_line_formatting=False):
    from bs4 import BeautifulSoup
    soup = BeautifulSoup(html_content, "html.parser")
    html_block = ""
    r = soup.select(include_filters, separator="")

    for element in r:
        # When there's more than 1 match, then add the suffix to separate each line
        # And where the matched result doesn't include something that will cause Inscriptis to add a newline
        # (This way each 'match' reliably has a new-line in the diff)
        # Divs are converted to 4 whitespaces by inscriptis
        if append_pretty_line_formatting and len(html_block) and not element.name in (['br', 'hr', 'div', 'p']):
            html_block += TEXT_FILTER_LIST_LINE_SUFFIX

        html_block += str(element)

    return html_block

def subtractive_css_selector(css_selector, content):
    from bs4 import BeautifulSoup
    soup = BeautifulSoup(content, "html.parser")

    # So that the elements dont shift their index, build a list of elements here which will be pointers to their place in the DOM
    elements_to_remove = soup.select(css_selector)

    if not elements_to_remove:
        # Better to return the original that rebuild with BeautifulSoup
        return content

    # Then, remove them in a separate loop
    for item in elements_to_remove:
        item.decompose()

    return str(soup)

def subtractive_xpath_selector(selectors: List[str], html_content: str) -> str:
    from lxml import etree
    # Parse the HTML content using lxml
    html_tree = etree.HTML(html_content)

    # First, collect all elements to remove
    elements_to_remove = []

    # Iterate over the list of XPath selectors
    for selector in selectors:
        # Collect elements for each selector
        elements_to_remove.extend(html_tree.xpath(selector))

    # If no elements were found, return the original HTML content
    if not elements_to_remove:
        return html_content

    # Then, remove them in a separate loop
    for element in elements_to_remove:
        if element.getparent() is not None:  # Ensure the element has a parent before removing
            element.getparent().remove(element)

    # Convert the modified HTML tree back to a string
    modified_html = etree.tostring(html_tree, method="html").decode("utf-8")
    return modified_html


def element_removal(selectors: List[str], html_content):
    """Removes elements that match a list of CSS or XPath selectors."""
    modified_html = html_content
    css_selectors = []
    xpath_selectors = []

    for selector in selectors:
        if selector.strip().startswith(('xpath:', 'xpath1:', '//')):
            # Handle XPath selectors separately
            xpath_selector = selector.removeprefix('xpath:').removeprefix('xpath1:')
            xpath_selectors.append(xpath_selector)
        else:
            # Collect CSS selectors as one "hit", see comment in subtractive_css_selector
            css_selectors.append(selector.strip().strip(","))

    if xpath_selectors:
        modified_html = subtractive_xpath_selector(xpath_selectors, modified_html)

    if css_selectors:
        # Remove duplicates, then combine all CSS selectors into one string, separated by commas
        # This stops the elements index shifting
        unique_selectors = list(set(css_selectors))  # Ensure uniqueness
        combined_css_selector = " , ".join(unique_selectors)
        modified_html = subtractive_css_selector(combined_css_selector, modified_html)


    return modified_html

def elementpath_tostring(obj):
    """
    change elementpath.select results to string type
    # The MIT License (MIT), Copyright (c), 2018-2021, SISSA (Scuola Internazionale Superiore di Studi Avanzati)
    # https://github.com/sissaschool/elementpath/blob/dfcc2fd3d6011b16e02bf30459a7924f547b47d0/elementpath/xpath_tokens.py#L1038
    """

    import elementpath
    from decimal import Decimal
    import math

    if obj is None:
        return ''
    # https://elementpath.readthedocs.io/en/latest/xpath_api.html#elementpath.select
    elif isinstance(obj, elementpath.XPathNode):
        return obj.string_value
    elif isinstance(obj, bool):
        return 'true' if obj else 'false'
    elif isinstance(obj, Decimal):
        value = format(obj, 'f')
        if '.' in value:
            return value.rstrip('0').rstrip('.')
        return value

    elif isinstance(obj, float):
        if math.isnan(obj):
            return 'NaN'
        elif math.isinf(obj):
            return str(obj).upper()

        value = str(obj)
        if '.' in value:
            value = value.rstrip('0').rstrip('.')
        if '+' in value:
            value = value.replace('+', '')
        if 'e' in value:
            return value.upper()
        return value

    return str(obj)

# Return str Utf-8 of matched rules
def xpath_filter(xpath_filter, html_content, append_pretty_line_formatting=False, is_xml=False):
    """

    :param xpath_filter:
    :param html_content:
    :param append_pretty_line_formatting:
    :param is_xml: set to true if is XML or is RSS (RSS is XML)
    :return:
    """
    from lxml import etree, html
    import elementpath

    parser = etree.HTMLParser()
    tree = None
    try:
        if is_xml:
            # So that we can keep CDATA for cdata_in_document_to_text() to process
            parser = etree.XMLParser(strip_cdata=False, resolve_entities=False, no_network=True)
            # For XML/RSS content, use etree.fromstring to properly handle XML declarations
            tree = etree.fromstring(html_content.encode('utf-8') if isinstance(html_content, str) else html_content, parser=parser)
        else:
            tree = html.fromstring(html_content, parser=parser)
        html_block = ""

        # Build namespace map for XPath queries
        namespaces = {'re': 'http://exslt.org/regular-expressions'}

        # Handle default namespace in documents (common in RSS/Atom feeds, but can occur in any XML)
        # XPath spec: unprefixed element names have no namespace, not the default namespace
        # Solution: Register the default namespace with empty string prefix in elementpath
        # This is primarily for RSS/Atom feeds but works for any XML with default namespace
        if hasattr(tree, 'nsmap') and tree.nsmap and None in tree.nsmap:
            # Register the default namespace with empty string prefix for elementpath
            # This allows //title to match elements in the default namespace
            namespaces[''] = tree.nsmap[None]

        r = elementpath.select(tree, xpath_filter.strip(), namespaces=namespaces, parser=SafeXPath3Parser)
        #@note: //title/text() now works with default namespaces (fixed by registering '' prefix)
        #@note: //title/text() wont work where <title>CDATA.. (use cdata_in_document_to_text first)

        if type(r) != list:
            r = [r]

        for element in r:
            # When there's more than 1 match, then add the suffix to separate each line
            # And where the matched result doesn't include something that will cause Inscriptis to add a newline
            # (This way each 'match' reliably has a new-line in the diff)
            # Divs are converted to 4 whitespaces by inscriptis
            if append_pretty_line_formatting and len(html_block) and (not hasattr( element, 'tag' ) or not element.tag in (['br', 'hr', 'div', 'p'])):
                html_block += TEXT_FILTER_LIST_LINE_SUFFIX

            if type(element) == str:
                html_block += element
            elif issubclass(type(element), etree._Element) or issubclass(type(element), etree._ElementTree):
                # Use 'xml' method for RSS/XML content, 'html' for HTML content
                # parser will be XMLParser if we detected XML content
                method = 'xml' if (is_xml or isinstance(parser, etree.XMLParser)) else 'html'
                html_block += etree.tostring(element, pretty_print=True, method=method, encoding='unicode')
            else:
                html_block += elementpath_tostring(element)

        # Drop element references before the finally block so tree.clear() can release
        # the libxml2 document immediately (elements pin the C-level doc via refcount).
        del r
        return html_block
    finally:
        # Explicitly clear the tree to free memory
        # lxml trees can hold significant memory, especially with large documents
        if tree is not None:
            tree.clear()

# Return str Utf-8 of matched rules
# 'xpath1:'
def xpath1_filter(xpath_filter, html_content, append_pretty_line_formatting=False, is_xml=False):
    from lxml import etree, html

    parser = None
    tree = None
    try:
        if is_xml:
            # So that we can keep CDATA for cdata_in_document_to_text() to process
            parser = etree.XMLParser(strip_cdata=False, resolve_entities=False, no_network=True)
            # For XML/RSS content, use etree.fromstring to properly handle XML declarations
            tree = etree.fromstring(html_content.encode('utf-8') if isinstance(html_content, str) else html_content, parser=parser)
        else:
            tree = html.fromstring(html_content, parser=parser)
        html_block = ""

        # Build namespace map for XPath queries
        namespaces = {'re': 'http://exslt.org/regular-expressions'}

        # NOTE: lxml's native xpath() does NOT support empty string prefix for default namespace
        # For documents with default namespace (RSS/Atom feeds), users must use:
        #   - local-name(): //*[local-name()='title']/text()
        #   - Or use xpath_filter (not xpath1_filter) which supports default namespaces
        # XPath spec: unprefixed element names have no namespace, not the default namespace

        r = tree.xpath(xpath_filter.strip(), namespaces=namespaces)
        #@note: xpath1 (lxml) does NOT automatically handle default namespaces
        #@note: Use //*[local-name()='element'] or switch to xpath_filter for default namespace support
        #@note: //title/text() wont work where <title>CDATA.. (use cdata_in_document_to_text first)

        for element in r:
            # When there's more than 1 match, then add the suffix to separate each line
            # And where the matched result doesn't include something that will cause Inscriptis to add a newline
            # (This way each 'match' reliably has a new-line in the diff)
            # Divs are converted to 4 whitespaces by inscriptis
            if append_pretty_line_formatting and len(html_block) and (not hasattr(element, 'tag') or not element.tag in (['br', 'hr', 'div', 'p'])):
                html_block += TEXT_FILTER_LIST_LINE_SUFFIX

            # Some kind of text, UTF-8 or other
            if isinstance(element, (str, bytes)):
                html_block += element
            else:
                # Return the HTML/XML which will get parsed as text
                # Use 'xml' method for RSS/XML content, 'html' for HTML content
                # parser will be XMLParser if we detected XML content
                method = 'xml' if (is_xml or isinstance(parser, etree.XMLParser)) else 'html'
                html_block += etree.tostring(element, pretty_print=True, method=method, encoding='unicode')

        return html_block
    finally:
        # Explicitly clear the tree to free memory
        # lxml trees can hold significant memory, especially with large documents
        if tree is not None:
            tree.clear()

# Extract/find element
def extract_element(find='title', html_content=''):
    from bs4 import BeautifulSoup

    #Re #106, be sure to handle when its not found
    element_text = None

    soup = BeautifulSoup(html_content, 'html.parser')
    result = soup.find(find)
    if result and result.string:
        element_text = result.string.strip()

    return element_text

#
def _parse_json(json_data, json_filter):
    from jsonpath_ng.ext import parse

    if json_filter.startswith("json:"):
        jsonpath_expression = parse(json_filter.replace('json:', ''))
        match = jsonpath_expression.find(json_data)
        return _get_stripped_text_from_json_match(match)

    if json_filter.startswith("jq:") or json_filter.startswith("jqraw:"):

        try:
            import jq
        except ModuleNotFoundError:
            # `jq` requires full compilation in windows and so isn't generally available
            raise Exception("jq not support not found")

        if json_filter.startswith("jq:"):
            expr = json_filter.removeprefix("jq:")
            validate_jq_expression(expr)
            jq_expression = jq.compile(expr)
            match = jq_expression.input(json_data).all()
            return _get_stripped_text_from_json_match(match)

        if json_filter.startswith("jqraw:"):
            expr = json_filter.removeprefix("jqraw:")
            validate_jq_expression(expr)
            jq_expression = jq.compile(expr)
            match = jq_expression.input(json_data).all()
            return '\n'.join(str(item) for item in match)

def _get_stripped_text_from_json_match(match):
    s = []
    # More than one result, we will return it as a JSON list.
    if len(match) > 1:
        for i in match:
            s.append(i.value if hasattr(i, 'value') else i)

    # Single value, use just the value, as it could be later used in a token in notifications.
    if len(match) == 1:
        s = match[0].value if hasattr(match[0], 'value') else match[0]

    # Re #257 - Better handling where it does not exist, in the case the original 's' value was False..
    if not match:
        # Re 265 - Just return an empty string when filter not found
        return ''

    # Ticket #462 - allow the original encoding through, usually it's UTF-8 or similar
    stripped_text_from_html = json.dumps(s, indent=4, ensure_ascii=False)

    return stripped_text_from_html

def extract_json_blob_from_html(content, ensure_is_ldjson_info_type, json_filter):
    from bs4 import BeautifulSoup
    stripped_text_from_html = ''

    # Foreach <script json></script> blob.. just return the first that matches json_filter
    # As a last resort, try to parse the whole <body>
    soup = BeautifulSoup(content, 'html.parser')

    if ensure_is_ldjson_info_type:
        bs_result = soup.find_all('script', {"type": "application/ld+json"})
    else:
        bs_result = soup.find_all('script')
    bs_result += soup.find_all('body')

    bs_jsons = []

    for result in bs_result:
        # result.text is how bs4 magically strips JSON from the body
        content_start = result.text.lstrip("\ufeff").strip()[:100] if result.text else ''
        # Skip empty tags, and things that dont even look like JSON
        if not result.text or not (content_start[0] == '{' or content_start[0] == '['):
            continue
        try:
            json_data = json.loads(result.text)
            bs_jsons.append(json_data)
        except json.JSONDecodeError:
            # Skip objects which cannot be parsed
            continue

    if not bs_jsons:
        raise JSONNotFound("No parsable JSON found in this document")

    for json_data in bs_jsons:
        stripped_text_from_html = _parse_json(json_data, json_filter)

        if ensure_is_ldjson_info_type:
            # Could sometimes be list, string or something else random
            if isinstance(json_data, dict):
                # If it has LD JSON 'key' @type, and @type is 'product', and something was found for the search
                # (Some sites have multiple of the same ld+json @type='product', but some have the review part, some have the 'price' part)
                # @type could also be a list although non-standard ("@type": ["Product", "SubType"],)
                # LD_JSON auto-extract also requires some content PLUS the ldjson to be present
                # 1833 - could be either str or dict, should not be anything else

                t = json_data.get('@type')
                if t and stripped_text_from_html:

                    if isinstance(t, str) and t.lower() == ensure_is_ldjson_info_type.lower():
                        break
                    # The non-standard part, some have a list
                    elif isinstance(t, list):
                        if ensure_is_ldjson_info_type.lower() in [x.lower().strip() for x in t]:
                            break

        elif stripped_text_from_html:
            break

    return stripped_text_from_html

# content - json
# json_filter - ie json:$..price
# ensure_is_ldjson_info_type - str "product", optional, "@type == product" (I dont know how to do that as a json selector)
def extract_json_as_string(content, json_filter, ensure_is_ldjson_info_type=None):

    stripped_text_from_html = False
# https://github.com/dgtlmoon/changedetection.io/pull/2041#issuecomment-1848397161w
    # Try to parse/filter out the JSON, if we get some parser error, then maybe it's embedded within HTML tags

    # Looks like clean JSON, dont bother extracting from HTML

    content_start = content.lstrip("\ufeff").strip()[:100]

    if content_start[0] == '{' or content_start[0] == '[':
        try:
            # .lstrip("\ufeff") strings ByteOrderMark from UTF8 and still lets the UTF work
            stripped_text_from_html = _parse_json(json.loads(content.lstrip("\ufeff")), json_filter)
        except json.JSONDecodeError as e:
            logger.warning(f"Error processing JSON {content[:20]}...{str(e)})")
    else:
        # Check for JSONP wrapper: someCallback({...}) or some.namespace({...})
        # Server may claim application/json but actually return JSONP
        jsonp_match = re.match(r'^\w[\w.]*\s*\((.+)\)\s*;?\s*$', content.lstrip("\ufeff").strip(), re.DOTALL)
        if jsonp_match:
            try:
                inner = jsonp_match.group(1).strip()
                logger.warning(f"Content looks like JSONP, attempting to extract inner JSON for filter '{json_filter}'")
                stripped_text_from_html = _parse_json(json.loads(inner), json_filter)
            except json.JSONDecodeError as e:
                logger.warning(f"Error processing JSONP inner content {content[:20]}...{str(e)})")

        if not stripped_text_from_html:
            # Probably something else, go fish inside for it
            try:
                stripped_text_from_html = extract_json_blob_from_html(content=content,
                                                                      ensure_is_ldjson_info_type=ensure_is_ldjson_info_type,
                                                                      json_filter=json_filter)
            except json.JSONDecodeError as e:
                logger.warning(f"Error processing JSON while extracting JSON from HTML blob {content[:20]}...{str(e)})")

    if not stripped_text_from_html:
        # Re 265 - Just return an empty string when filter not found
        return ''

    return stripped_text_from_html

# Mode     - "content" return the content without the matches (default)
#          - "line numbers" return a list of line numbers that match (int list)
#
# wordlist - list of regex's (str) or words (str)
# Preserves all linefeeds and other whitespacing, its not the job of this to remove that
def strip_ignore_text(content, wordlist, mode="content"):
    ignore_text = []
    ignore_regex = []
    ignore_regex_multiline = []
    ignored_lines = []

    if not content:
        return ''

    for k in wordlist:
        # Skip empty strings to avoid matching everything
        if not k or not k.strip():
            continue
        # Is it a regex?
        res = re.search(PERL_STYLE_REGEX, k, re.IGNORECASE)
        if res:
            res = re.compile(perl_style_slash_enclosed_regex_to_options(k))
            if res.flags & re.DOTALL or res.flags & re.MULTILINE:
                ignore_regex_multiline.append(res)
            else:
                ignore_regex.append(res)
        else:
            ignore_text.append(k.strip())

    for r in ignore_regex_multiline:
        for match in r.finditer(content):
            content_lines = content[:match.end()].splitlines(keepends=True)
            match_lines = content[match.start():match.end()].splitlines(keepends=True)

            end_line = len(content_lines)
            start_line = end_line - len(match_lines)

            if end_line - start_line <= 1:
                # Match is empty or in the middle of the line
                ignored_lines.append(start_line)
            else:
                for i in range(start_line, end_line):
                    ignored_lines.append(i)

    line_index = 0
    lines = content.splitlines(keepends=True)
    for line in lines:
        # Always ignore blank lines in this mode. (when this function gets called)
        got_match = False
        for l in ignore_text:
            if l.lower() in line.lower():
                got_match = True

        if not got_match:
            for r in ignore_regex:
                if r.search(line):
                    got_match = True

        if got_match:
            ignored_lines.append(line_index)

        line_index += 1

    ignored_lines = set([i for i in ignored_lines if i >= 0 and i < len(lines)])

    # Used for finding out what to highlight
    if mode == "line numbers":
        return [i + 1 for i in ignored_lines]

    output_lines = set(range(len(lines))) - ignored_lines
    return ''.join([lines[i] for i in output_lines])

def cdata_in_document_to_text(html_content: str, render_anchor_tag_content=False) -> str:
    from xml.sax.saxutils import escape as xml_escape
    pattern = '<!\[CDATA\[(\s*(?:.(?<!\]\]>)\s*)*)\]\]>'
    def repl(m):
        text = m.group(1)
        return xml_escape(html_to_text(html_content=text)).strip()

    return re.sub(pattern, repl, html_content)


# NOTE!! ANYTHING LIBXML, HTML5LIB ETC WILL CAUSE SOME SMALL MEMORY LEAK IN THE LOCAL "LIB" IMPLEMENTATION OUTSIDE PYTHON


def html_to_text(html_content: str, render_anchor_tag_content=False, is_rss=False, timeout=10) -> str:
    """
    Convert HTML content to plain text using inscriptis.

    Thread-Safety: This function uses inscriptis.get_text() which internally calls
    lxml.html.fromstring() with the default parser. Testing with 50 concurrent threads
    confirms this approach is thread-safe and produces deterministic output.

    Alternative Approach Rejected: An explicit HTMLParser instance (thread-local or fresh)
    would also be thread-safe, but was found to break change detection logic in subtle ways
    (test_check_basic_change_detection_functionality). The default parser provides correct
    and reliable behavior.
    """
    from inscriptis import get_text
    from inscriptis.model.config import ParserConfig

    if render_anchor_tag_content:
        parser_config = ParserConfig(
            annotation_rules={"a": ["hyperlink"]},
            display_links=True
        )
    else:
        parser_config = None
    if is_rss:
        html_content = re.sub(r'<title([\s>])', r'<h1\1', html_content)
        html_content = re.sub(r'</title>', r'</h1>', html_content)
    else:
        # Use BS4 html.parser to strip bloat — SPA's often dump 10MB+ of CSS/JS into <head>,
        # causing inscriptis to silently give up. Regex-based stripping is unsafe because tags
        # can appear inside JSON data attributes with JS-escaped closing tags (e.g. <\/script>),
        # causing the regex to scan past the intended close and eat real page content.
        from bs4 import BeautifulSoup
        soup = BeautifulSoup(html_content, 'html.parser')
        # Strip tags that inscriptis cannot render as meaningful text and which can be very large.
        # svg/math: produce path-data/MathML garbage; canvas/iframe/template: no inscriptis handlers.
        # video/audio/picture are kept — they may contain meaningful fallback text or captions.
        for tag in soup.find_all(['head', 'script', 'style', 'noscript', 'svg',
                                  'math', 'canvas', 'iframe', 'template']):
            tag.decompose()

        # SPAs often use <body style="display:none"> to hide content until JS loads.
        # inscriptis respects CSS display rules, so strip hiding styles from the body tag.
        body_tag = soup.find('body')
        if body_tag and body_tag.get('style'):
            style = body_tag['style']
            if re.search(r'\b(?:display\s*:\s*none|visibility\s*:\s*hidden)\b', style, re.IGNORECASE):
                logger.debug(f"html_to_text: Removing hiding styles from body tag (found: '{style}')")
                del body_tag['style']

        html_content = str(soup)

    text_content = get_text(html_content, config=parser_config)
    return text_content

# Does LD+JSON exist with a @type=='product' and a .price set anywhere?
def has_ldjson_product_info(content):
    try:
        # Better than .lower() which can use a lot of ram
        if (re.search(r'application/ld\+json', content, re.IGNORECASE) and
            re.search(r'"price"', content, re.IGNORECASE) and
            re.search(r'"pricecurrency"', content, re.IGNORECASE)):
            return True

#       On some pages this is really terribly expensive when they dont really need it
#       (For example you never want price monitoring, but this runs on every watch to suggest it)
#        for filter in LD_JSON_PRODUCT_OFFER_SELECTORS:
#            pricing_data += extract_json_as_string(content=content,
#                                                  json_filter=filter,
#                                                  ensure_is_ldjson_info_type="product")
    except Exception as e:
        # OK too
        return False

    return False



def workarounds_for_obfuscations(content):
    """
    Some sites are using sneaky tactics to make prices and other information un-renderable by Inscriptis
    This could go into its own Pip package in the future, for faster updates
    """

    # HomeDepot.com style <span>$<!-- -->90<!-- -->.<!-- -->74</span>
    # https://github.com/weblyzard/inscriptis/issues/45
    if not content:
        return content

    content = re.sub('<!--\s+-->', '', content)

    return content


def get_triggered_text(content, trigger_text):
    triggered_text = []
    result = strip_ignore_text(content=content,
                               wordlist=trigger_text,
                               mode="line numbers")

    i = 1
    for p in content.splitlines():
        if i in result:
            triggered_text.append(p)
        i += 1

    return triggered_text


def extract_title(data: bytes | str, sniff_bytes: int = 2048, scan_chars: int = 8192) -> str | None:
    try:
        # Only decode/process the prefix we need for title extraction
        match data:
            case bytes() if data.startswith((b"\xff\xfe", b"\xfe\xff")):
                prefix = data[:scan_chars * 2].decode("utf-16", errors="replace")
            case bytes() if data.startswith((b"\xff\xfe\x00\x00", b"\x00\x00\xfe\xff")):
                prefix = data[:scan_chars * 4].decode("utf-32", errors="replace")
            case bytes():
                try:
                    prefix = data[:scan_chars].decode("utf-8")
                except UnicodeDecodeError:
                    try:
                        head = data[:sniff_bytes].decode("ascii", errors="ignore")
                        if m := (META_CS.search(head) or META_CT.search(head)):
                            enc = m.group(1).lower()
                        else:
                            enc = "cp1252"
                        prefix = data[:scan_chars * 2].decode(enc, errors="replace")
                    except Exception as e:
                        logger.error(f"Title extraction encoding detection failed: {e}")
                        return None
            case str():
                prefix = data[:scan_chars] if len(data) > scan_chars else data
            case _:
                logger.error(f"Title extraction received unsupported data type: {type(data)}")
                return None

        # Search only in the prefix
        if m := TITLE_RE.search(prefix):
            title = html.unescape(" ".join(m.group(1).split())).strip()
            # Some safe limit
            return title[:2000]
        return None
        
    except Exception as e:
        logger.error(f"Title extraction failed: {e}")
        return None