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-rw-r--r--synapse/rest/media/v1/oembed.py5
-rw-r--r--synapse/rest/media/v1/preview_html.py397
-rw-r--r--synapse/rest/media/v1/preview_url_resource.py383
3 files changed, 407 insertions, 378 deletions
diff --git a/synapse/rest/media/v1/oembed.py b/synapse/rest/media/v1/oembed.py
index 2a59552c20..cce1527ed9 100644
--- a/synapse/rest/media/v1/oembed.py
+++ b/synapse/rest/media/v1/oembed.py
@@ -17,6 +17,7 @@ from typing import TYPE_CHECKING, List, Optional
 
 import attr
 
+from synapse.rest.media.v1.preview_html import parse_html_description
 from synapse.types import JsonDict
 from synapse.util import json_decoder
 
@@ -245,8 +246,6 @@ def calc_description_and_urls(open_graph_response: JsonDict, html_body: str) ->
     if video_urls:
         open_graph_response["og:video"] = video_urls[0]
 
-    from synapse.rest.media.v1.preview_url_resource import _calc_description
-
-    description = _calc_description(tree)
+    description = parse_html_description(tree)
     if description:
         open_graph_response["og:description"] = description
diff --git a/synapse/rest/media/v1/preview_html.py b/synapse/rest/media/v1/preview_html.py
new file mode 100644
index 0000000000..30b067dd42
--- /dev/null
+++ b/synapse/rest/media/v1/preview_html.py
@@ -0,0 +1,397 @@
+# Copyright 2021 The Matrix.org Foundation C.I.C.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import codecs
+import itertools
+import logging
+import re
+from typing import TYPE_CHECKING, Dict, Generator, Iterable, Optional, Set, Union
+from urllib import parse as urlparse
+
+if TYPE_CHECKING:
+    from lxml import etree
+
+logger = logging.getLogger(__name__)
+
+_charset_match = re.compile(
+    br'<\s*meta[^>]*charset\s*=\s*"?([a-z0-9_-]+)"?', flags=re.I
+)
+_xml_encoding_match = re.compile(
+    br'\s*<\s*\?\s*xml[^>]*encoding="([a-z0-9_-]+)"', flags=re.I
+)
+_content_type_match = re.compile(r'.*; *charset="?(.*?)"?(;|$)', flags=re.I)
+
+
+def _normalise_encoding(encoding: str) -> Optional[str]:
+    """Use the Python codec's name as the normalised entry."""
+    try:
+        return codecs.lookup(encoding).name
+    except LookupError:
+        return None
+
+
+def _get_html_media_encodings(
+    body: bytes, content_type: Optional[str]
+) -> Iterable[str]:
+    """
+    Get potential encoding of the body based on the (presumably) HTML body or the content-type header.
+
+    The precedence used for finding a character encoding is:
+
+    1. <meta> tag with a charset declared.
+    2. The XML document's character encoding attribute.
+    3. The Content-Type header.
+    4. Fallback to utf-8.
+    5. Fallback to windows-1252.
+
+    This roughly follows the algorithm used by BeautifulSoup's bs4.dammit.EncodingDetector.
+
+    Args:
+        body: The HTML document, as bytes.
+        content_type: The Content-Type header.
+
+    Returns:
+        The character encoding of the body, as a string.
+    """
+    # There's no point in returning an encoding more than once.
+    attempted_encodings: Set[str] = set()
+
+    # Limit searches to the first 1kb, since it ought to be at the top.
+    body_start = body[:1024]
+
+    # Check if it has an encoding set in a meta tag.
+    match = _charset_match.search(body_start)
+    if match:
+        encoding = _normalise_encoding(match.group(1).decode("ascii"))
+        if encoding:
+            attempted_encodings.add(encoding)
+            yield encoding
+
+    # TODO Support <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
+
+    # Check if it has an XML document with an encoding.
+    match = _xml_encoding_match.match(body_start)
+    if match:
+        encoding = _normalise_encoding(match.group(1).decode("ascii"))
+        if encoding and encoding not in attempted_encodings:
+            attempted_encodings.add(encoding)
+            yield encoding
+
+    # Check the HTTP Content-Type header for a character set.
+    if content_type:
+        content_match = _content_type_match.match(content_type)
+        if content_match:
+            encoding = _normalise_encoding(content_match.group(1))
+            if encoding and encoding not in attempted_encodings:
+                attempted_encodings.add(encoding)
+                yield encoding
+
+    # Finally, fallback to UTF-8, then windows-1252.
+    for fallback in ("utf-8", "cp1252"):
+        if fallback not in attempted_encodings:
+            yield fallback
+
+
+def decode_body(
+    body: bytes, uri: str, content_type: Optional[str] = None
+) -> Optional["etree.Element"]:
+    """
+    This uses lxml to parse the HTML document.
+
+    Args:
+        body: The HTML document, as bytes.
+        uri: The URI used to download the body.
+        content_type: The Content-Type header.
+
+    Returns:
+        The parsed HTML body, or None if an error occurred during processed.
+    """
+    # If there's no body, nothing useful is going to be found.
+    if not body:
+        return None
+
+    # The idea here is that multiple encodings are tried until one works.
+    # Unfortunately the result is never used and then LXML will decode the string
+    # again with the found encoding.
+    for encoding in _get_html_media_encodings(body, content_type):
+        try:
+            body.decode(encoding)
+        except Exception:
+            pass
+        else:
+            break
+    else:
+        logger.warning("Unable to decode HTML body for %s", uri)
+        return None
+
+    from lxml import etree
+
+    # Create an HTML parser.
+    parser = etree.HTMLParser(recover=True, encoding=encoding)
+
+    # Attempt to parse the body. Returns None if the body was successfully
+    # parsed, but no tree was found.
+    return etree.fromstring(body, parser)
+
+
+def parse_html_to_open_graph(
+    tree: "etree.Element", media_uri: str
+) -> Dict[str, Optional[str]]:
+    """
+    Parse the HTML document into an Open Graph response.
+
+    This uses lxml to search the HTML document for Open Graph data (or
+    synthesizes it from the document).
+
+    Args:
+        tree: The parsed HTML document.
+        media_url: The URI used to download the body.
+
+    Returns:
+        The Open Graph response as a dictionary.
+    """
+
+    # if we see any image URLs in the OG response, then spider them
+    # (although the client could choose to do this by asking for previews of those
+    # URLs to avoid DoSing the server)
+
+    # "og:type"         : "video",
+    # "og:url"          : "https://www.youtube.com/watch?v=LXDBoHyjmtw",
+    # "og:site_name"    : "YouTube",
+    # "og:video:type"   : "application/x-shockwave-flash",
+    # "og:description"  : "Fun stuff happening here",
+    # "og:title"        : "RemoteJam - Matrix team hack for Disrupt Europe Hackathon",
+    # "og:image"        : "https://i.ytimg.com/vi/LXDBoHyjmtw/maxresdefault.jpg",
+    # "og:video:url"    : "http://www.youtube.com/v/LXDBoHyjmtw?version=3&autohide=1",
+    # "og:video:width"  : "1280"
+    # "og:video:height" : "720",
+    # "og:video:secure_url": "https://www.youtube.com/v/LXDBoHyjmtw?version=3",
+
+    og: Dict[str, Optional[str]] = {}
+    for tag in tree.xpath("//*/meta[starts-with(@property, 'og:')]"):
+        if "content" in tag.attrib:
+            # if we've got more than 50 tags, someone is taking the piss
+            if len(og) >= 50:
+                logger.warning("Skipping OG for page with too many 'og:' tags")
+                return {}
+            og[tag.attrib["property"]] = tag.attrib["content"]
+
+    # TODO: grab article: meta tags too, e.g.:
+
+    # "article:publisher" : "https://www.facebook.com/thethudonline" />
+    # "article:author" content="https://www.facebook.com/thethudonline" />
+    # "article:tag" content="baby" />
+    # "article:section" content="Breaking News" />
+    # "article:published_time" content="2016-03-31T19:58:24+00:00" />
+    # "article:modified_time" content="2016-04-01T18:31:53+00:00" />
+
+    if "og:title" not in og:
+        # do some basic spidering of the HTML
+        title = tree.xpath("(//title)[1] | (//h1)[1] | (//h2)[1] | (//h3)[1]")
+        if title and title[0].text is not None:
+            og["og:title"] = title[0].text.strip()
+        else:
+            og["og:title"] = None
+
+    if "og:image" not in og:
+        # TODO: extract a favicon failing all else
+        meta_image = tree.xpath(
+            "//*/meta[translate(@itemprop, 'IMAGE', 'image')='image']/@content"
+        )
+        if meta_image:
+            og["og:image"] = rebase_url(meta_image[0], media_uri)
+        else:
+            # TODO: consider inlined CSS styles as well as width & height attribs
+            images = tree.xpath("//img[@src][number(@width)>10][number(@height)>10]")
+            images = sorted(
+                images,
+                key=lambda i: (
+                    -1 * float(i.attrib["width"]) * float(i.attrib["height"])
+                ),
+            )
+            if not images:
+                images = tree.xpath("//img[@src]")
+            if images:
+                og["og:image"] = images[0].attrib["src"]
+
+    if "og:description" not in og:
+        meta_description = tree.xpath(
+            "//*/meta"
+            "[translate(@name, 'DESCRIPTION', 'description')='description']"
+            "/@content"
+        )
+        if meta_description:
+            og["og:description"] = meta_description[0]
+        else:
+            og["og:description"] = parse_html_description(tree)
+    elif og["og:description"]:
+        # This must be a non-empty string at this point.
+        assert isinstance(og["og:description"], str)
+        og["og:description"] = summarize_paragraphs([og["og:description"]])
+
+    # TODO: delete the url downloads to stop diskfilling,
+    # as we only ever cared about its OG
+    return og
+
+
+def parse_html_description(tree: "etree.Element") -> Optional[str]:
+    """
+    Calculate a text description based on an HTML document.
+
+    Grabs any text nodes which are inside the <body/> tag, unless they are within
+    an HTML5 semantic markup tag (<header/>, <nav/>, <aside/>, <footer/>), or
+    if they are within a <script/> or <style/> tag.
+
+    This is a very very very coarse approximation to a plain text render of the page.
+
+    Args:
+        tree: The parsed HTML document.
+
+    Returns:
+        The plain text description, or None if one cannot be generated.
+    """
+    # We don't just use XPATH here as that is slow on some machines.
+
+    from lxml import etree
+
+    TAGS_TO_REMOVE = (
+        "header",
+        "nav",
+        "aside",
+        "footer",
+        "script",
+        "noscript",
+        "style",
+        etree.Comment,
+    )
+
+    # Split all the text nodes into paragraphs (by splitting on new
+    # lines)
+    text_nodes = (
+        re.sub(r"\s+", "\n", el).strip()
+        for el in _iterate_over_text(tree.find("body"), *TAGS_TO_REMOVE)
+    )
+    return summarize_paragraphs(text_nodes)
+
+
+def _iterate_over_text(
+    tree: "etree.Element", *tags_to_ignore: Iterable[Union[str, "etree.Comment"]]
+) -> Generator[str, None, None]:
+    """Iterate over the tree returning text nodes in a depth first fashion,
+    skipping text nodes inside certain tags.
+    """
+    # This is basically a stack that we extend using itertools.chain.
+    # This will either consist of an element to iterate over *or* a string
+    # to be returned.
+    elements = iter([tree])
+    while True:
+        el = next(elements, None)
+        if el is None:
+            return
+
+        if isinstance(el, str):
+            yield el
+        elif el.tag not in tags_to_ignore:
+            # el.text is the text before the first child, so we can immediately
+            # return it if the text exists.
+            if el.text:
+                yield el.text
+
+            # We add to the stack all the elements children, interspersed with
+            # each child's tail text (if it exists). The tail text of a node
+            # is text that comes *after* the node, so we always include it even
+            # if we ignore the child node.
+            elements = itertools.chain(
+                itertools.chain.from_iterable(  # Basically a flatmap
+                    [child, child.tail] if child.tail else [child]
+                    for child in el.iterchildren()
+                ),
+                elements,
+            )
+
+
+def rebase_url(url: str, base: str) -> str:
+    base_parts = list(urlparse.urlparse(base))
+    url_parts = list(urlparse.urlparse(url))
+    if not url_parts[0]:  # fix up schema
+        url_parts[0] = base_parts[0] or "http"
+    if not url_parts[1]:  # fix up hostname
+        url_parts[1] = base_parts[1]
+        if not url_parts[2].startswith("/"):
+            url_parts[2] = re.sub(r"/[^/]+$", "/", base_parts[2]) + url_parts[2]
+    return urlparse.urlunparse(url_parts)
+
+
+def summarize_paragraphs(
+    text_nodes: Iterable[str], min_size: int = 200, max_size: int = 500
+) -> Optional[str]:
+    """
+    Try to get a summary respecting first paragraph and then word boundaries.
+
+    Args:
+        text_nodes: The paragraphs to summarize.
+        min_size: The minimum number of words to include.
+        max_size: The maximum number of words to include.
+
+    Returns:
+        A summary of the text nodes, or None if that was not possible.
+    """
+
+    # TODO: Respect sentences?
+
+    description = ""
+
+    # Keep adding paragraphs until we get to the MIN_SIZE.
+    for text_node in text_nodes:
+        if len(description) < min_size:
+            text_node = re.sub(r"[\t \r\n]+", " ", text_node)
+            description += text_node + "\n\n"
+        else:
+            break
+
+    description = description.strip()
+    description = re.sub(r"[\t ]+", " ", description)
+    description = re.sub(r"[\t \r\n]*[\r\n]+", "\n\n", description)
+
+    # If the concatenation of paragraphs to get above MIN_SIZE
+    # took us over MAX_SIZE, then we need to truncate mid paragraph
+    if len(description) > max_size:
+        new_desc = ""
+
+        # This splits the paragraph into words, but keeping the
+        # (preceding) whitespace intact so we can easily concat
+        # words back together.
+        for match in re.finditer(r"\s*\S+", description):
+            word = match.group()
+
+            # Keep adding words while the total length is less than
+            # MAX_SIZE.
+            if len(word) + len(new_desc) < max_size:
+                new_desc += word
+            else:
+                # At this point the next word *will* take us over
+                # MAX_SIZE, but we also want to ensure that its not
+                # a huge word. If it is add it anyway and we'll
+                # truncate later.
+                if len(new_desc) < min_size:
+                    new_desc += word
+                break
+
+        # Double check that we're not over the limit
+        if len(new_desc) > max_size:
+            new_desc = new_desc[:max_size]
+
+        # We always add an ellipsis because at the very least
+        # we chopped mid paragraph.
+        description = new_desc.strip() + "…"
+    return description if description else None
diff --git a/synapse/rest/media/v1/preview_url_resource.py b/synapse/rest/media/v1/preview_url_resource.py
index 054f3c296d..a3829d943b 100644
--- a/synapse/rest/media/v1/preview_url_resource.py
+++ b/synapse/rest/media/v1/preview_url_resource.py
@@ -12,18 +12,16 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-import codecs
 import datetime
 import errno
 import fnmatch
-import itertools
 import logging
 import os
 import re
 import shutil
 import sys
 import traceback
-from typing import TYPE_CHECKING, Dict, Generator, Iterable, Optional, Set, Tuple, Union
+from typing import TYPE_CHECKING, Iterable, Optional, Tuple
 from urllib import parse as urlparse
 
 import attr
@@ -45,6 +43,11 @@ from synapse.metrics.background_process_metrics import run_as_background_process
 from synapse.rest.media.v1._base import get_filename_from_headers
 from synapse.rest.media.v1.media_storage import MediaStorage
 from synapse.rest.media.v1.oembed import OEmbedProvider
+from synapse.rest.media.v1.preview_html import (
+    decode_body,
+    parse_html_to_open_graph,
+    rebase_url,
+)
 from synapse.types import JsonDict, UserID
 from synapse.util import json_encoder
 from synapse.util.async_helpers import ObservableDeferred
@@ -54,21 +57,11 @@ from synapse.util.stringutils import random_string
 from ._base import FileInfo
 
 if TYPE_CHECKING:
-    from lxml import etree
-
     from synapse.rest.media.v1.media_repository import MediaRepository
     from synapse.server import HomeServer
 
 logger = logging.getLogger(__name__)
 
-_charset_match = re.compile(
-    br'<\s*meta[^>]*charset\s*=\s*"?([a-z0-9_-]+)"?', flags=re.I
-)
-_xml_encoding_match = re.compile(
-    br'\s*<\s*\?\s*xml[^>]*encoding="([a-z0-9_-]+)"', flags=re.I
-)
-_content_type_match = re.compile(r'.*; *charset="?(.*?)"?(;|$)', flags=re.I)
-
 OG_TAG_NAME_MAXLEN = 50
 OG_TAG_VALUE_MAXLEN = 1000
 
@@ -311,7 +304,7 @@ class PreviewUrlResource(DirectServeJsonResource):
                 # If there was no oEmbed URL (or oEmbed parsing failed), attempt
                 # to generate the Open Graph information from the HTML.
                 if not oembed_url or not og:
-                    og = _calc_og(tree, media_info.uri)
+                    og = parse_html_to_open_graph(tree, media_info.uri)
 
                 await self._precache_image_url(user, media_info, og)
             else:
@@ -468,7 +461,7 @@ class PreviewUrlResource(DirectServeJsonResource):
         # request itself and benefit from the same caching etc.  But for now we
         # just rely on the caching on the master request to speed things up.
         image_info = await self._download_url(
-            _rebase_url(og["og:image"], media_info.uri), user
+            rebase_url(og["og:image"], media_info.uri), user
         )
 
         if _is_media(image_info.media_type):
@@ -632,301 +625,6 @@ class PreviewUrlResource(DirectServeJsonResource):
             logger.debug("No media removed from url cache")
 
 
-def _normalise_encoding(encoding: str) -> Optional[str]:
-    """Use the Python codec's name as the normalised entry."""
-    try:
-        return codecs.lookup(encoding).name
-    except LookupError:
-        return None
-
-
-def get_html_media_encodings(body: bytes, content_type: Optional[str]) -> Iterable[str]:
-    """
-    Get potential encoding of the body based on the (presumably) HTML body or the content-type header.
-
-    The precedence used for finding a character encoding is:
-
-    1. <meta> tag with a charset declared.
-    2. The XML document's character encoding attribute.
-    3. The Content-Type header.
-    4. Fallback to utf-8.
-    5. Fallback to windows-1252.
-
-    This roughly follows the algorithm used by BeautifulSoup's bs4.dammit.EncodingDetector.
-
-    Args:
-        body: The HTML document, as bytes.
-        content_type: The Content-Type header.
-
-    Returns:
-        The character encoding of the body, as a string.
-    """
-    # There's no point in returning an encoding more than once.
-    attempted_encodings: Set[str] = set()
-
-    # Limit searches to the first 1kb, since it ought to be at the top.
-    body_start = body[:1024]
-
-    # Check if it has an encoding set in a meta tag.
-    match = _charset_match.search(body_start)
-    if match:
-        encoding = _normalise_encoding(match.group(1).decode("ascii"))
-        if encoding:
-            attempted_encodings.add(encoding)
-            yield encoding
-
-    # TODO Support <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
-
-    # Check if it has an XML document with an encoding.
-    match = _xml_encoding_match.match(body_start)
-    if match:
-        encoding = _normalise_encoding(match.group(1).decode("ascii"))
-        if encoding and encoding not in attempted_encodings:
-            attempted_encodings.add(encoding)
-            yield encoding
-
-    # Check the HTTP Content-Type header for a character set.
-    if content_type:
-        content_match = _content_type_match.match(content_type)
-        if content_match:
-            encoding = _normalise_encoding(content_match.group(1))
-            if encoding and encoding not in attempted_encodings:
-                attempted_encodings.add(encoding)
-                yield encoding
-
-    # Finally, fallback to UTF-8, then windows-1252.
-    for fallback in ("utf-8", "cp1252"):
-        if fallback not in attempted_encodings:
-            yield fallback
-
-
-def decode_body(
-    body: bytes, uri: str, content_type: Optional[str] = None
-) -> Optional["etree.Element"]:
-    """
-    This uses lxml to parse the HTML document.
-
-    Args:
-        body: The HTML document, as bytes.
-        uri: The URI used to download the body.
-        content_type: The Content-Type header.
-
-    Returns:
-        The parsed HTML body, or None if an error occurred during processed.
-    """
-    # If there's no body, nothing useful is going to be found.
-    if not body:
-        return None
-
-    # The idea here is that multiple encodings are tried until one works.
-    # Unfortunately the result is never used and then LXML will decode the string
-    # again with the found encoding.
-    for encoding in get_html_media_encodings(body, content_type):
-        try:
-            body.decode(encoding)
-        except Exception:
-            pass
-        else:
-            break
-    else:
-        logger.warning("Unable to decode HTML body for %s", uri)
-        return None
-
-    from lxml import etree
-
-    # Create an HTML parser.
-    parser = etree.HTMLParser(recover=True, encoding=encoding)
-
-    # Attempt to parse the body. Returns None if the body was successfully
-    # parsed, but no tree was found.
-    return etree.fromstring(body, parser)
-
-
-def _calc_og(tree: "etree.Element", media_uri: str) -> Dict[str, Optional[str]]:
-    """
-    Calculate metadata for an HTML document.
-
-    This uses lxml to search the HTML document for Open Graph data.
-
-    Args:
-        tree: The parsed HTML document.
-        media_url: The URI used to download the body.
-
-    Returns:
-        The Open Graph response as a dictionary.
-    """
-
-    # if we see any image URLs in the OG response, then spider them
-    # (although the client could choose to do this by asking for previews of those
-    # URLs to avoid DoSing the server)
-
-    # "og:type"         : "video",
-    # "og:url"          : "https://www.youtube.com/watch?v=LXDBoHyjmtw",
-    # "og:site_name"    : "YouTube",
-    # "og:video:type"   : "application/x-shockwave-flash",
-    # "og:description"  : "Fun stuff happening here",
-    # "og:title"        : "RemoteJam - Matrix team hack for Disrupt Europe Hackathon",
-    # "og:image"        : "https://i.ytimg.com/vi/LXDBoHyjmtw/maxresdefault.jpg",
-    # "og:video:url"    : "http://www.youtube.com/v/LXDBoHyjmtw?version=3&autohide=1",
-    # "og:video:width"  : "1280"
-    # "og:video:height" : "720",
-    # "og:video:secure_url": "https://www.youtube.com/v/LXDBoHyjmtw?version=3",
-
-    og: Dict[str, Optional[str]] = {}
-    for tag in tree.xpath("//*/meta[starts-with(@property, 'og:')]"):
-        if "content" in tag.attrib:
-            # if we've got more than 50 tags, someone is taking the piss
-            if len(og) >= 50:
-                logger.warning("Skipping OG for page with too many 'og:' tags")
-                return {}
-            og[tag.attrib["property"]] = tag.attrib["content"]
-
-    # TODO: grab article: meta tags too, e.g.:
-
-    # "article:publisher" : "https://www.facebook.com/thethudonline" />
-    # "article:author" content="https://www.facebook.com/thethudonline" />
-    # "article:tag" content="baby" />
-    # "article:section" content="Breaking News" />
-    # "article:published_time" content="2016-03-31T19:58:24+00:00" />
-    # "article:modified_time" content="2016-04-01T18:31:53+00:00" />
-
-    if "og:title" not in og:
-        # do some basic spidering of the HTML
-        title = tree.xpath("(//title)[1] | (//h1)[1] | (//h2)[1] | (//h3)[1]")
-        if title and title[0].text is not None:
-            og["og:title"] = title[0].text.strip()
-        else:
-            og["og:title"] = None
-
-    if "og:image" not in og:
-        # TODO: extract a favicon failing all else
-        meta_image = tree.xpath(
-            "//*/meta[translate(@itemprop, 'IMAGE', 'image')='image']/@content"
-        )
-        if meta_image:
-            og["og:image"] = _rebase_url(meta_image[0], media_uri)
-        else:
-            # TODO: consider inlined CSS styles as well as width & height attribs
-            images = tree.xpath("//img[@src][number(@width)>10][number(@height)>10]")
-            images = sorted(
-                images,
-                key=lambda i: (
-                    -1 * float(i.attrib["width"]) * float(i.attrib["height"])
-                ),
-            )
-            if not images:
-                images = tree.xpath("//img[@src]")
-            if images:
-                og["og:image"] = images[0].attrib["src"]
-
-    if "og:description" not in og:
-        meta_description = tree.xpath(
-            "//*/meta"
-            "[translate(@name, 'DESCRIPTION', 'description')='description']"
-            "/@content"
-        )
-        if meta_description:
-            og["og:description"] = meta_description[0]
-        else:
-            og["og:description"] = _calc_description(tree)
-    elif og["og:description"]:
-        # This must be a non-empty string at this point.
-        assert isinstance(og["og:description"], str)
-        og["og:description"] = summarize_paragraphs([og["og:description"]])
-
-    # TODO: delete the url downloads to stop diskfilling,
-    # as we only ever cared about its OG
-    return og
-
-
-def _calc_description(tree: "etree.Element") -> Optional[str]:
-    """
-    Calculate a text description based on an HTML document.
-
-    Grabs any text nodes which are inside the <body/> tag, unless they are within
-    an HTML5 semantic markup tag (<header/>, <nav/>, <aside/>, <footer/>), or
-    if they are within a <script/> or <style/> tag.
-
-    This is a very very very coarse approximation to a plain text render of the page.
-
-    Args:
-        tree: The parsed HTML document.
-
-    Returns:
-        The plain text description, or None if one cannot be generated.
-    """
-    # We don't just use XPATH here as that is slow on some machines.
-
-    from lxml import etree
-
-    TAGS_TO_REMOVE = (
-        "header",
-        "nav",
-        "aside",
-        "footer",
-        "script",
-        "noscript",
-        "style",
-        etree.Comment,
-    )
-
-    # Split all the text nodes into paragraphs (by splitting on new
-    # lines)
-    text_nodes = (
-        re.sub(r"\s+", "\n", el).strip()
-        for el in _iterate_over_text(tree.find("body"), *TAGS_TO_REMOVE)
-    )
-    return summarize_paragraphs(text_nodes)
-
-
-def _iterate_over_text(
-    tree: "etree.Element", *tags_to_ignore: Iterable[Union[str, "etree.Comment"]]
-) -> Generator[str, None, None]:
-    """Iterate over the tree returning text nodes in a depth first fashion,
-    skipping text nodes inside certain tags.
-    """
-    # This is basically a stack that we extend using itertools.chain.
-    # This will either consist of an element to iterate over *or* a string
-    # to be returned.
-    elements = iter([tree])
-    while True:
-        el = next(elements, None)
-        if el is None:
-            return
-
-        if isinstance(el, str):
-            yield el
-        elif el.tag not in tags_to_ignore:
-            # el.text is the text before the first child, so we can immediately
-            # return it if the text exists.
-            if el.text:
-                yield el.text
-
-            # We add to the stack all the elements children, interspersed with
-            # each child's tail text (if it exists). The tail text of a node
-            # is text that comes *after* the node, so we always include it even
-            # if we ignore the child node.
-            elements = itertools.chain(
-                itertools.chain.from_iterable(  # Basically a flatmap
-                    [child, child.tail] if child.tail else [child]
-                    for child in el.iterchildren()
-                ),
-                elements,
-            )
-
-
-def _rebase_url(url: str, base: str) -> str:
-    base_parts = list(urlparse.urlparse(base))
-    url_parts = list(urlparse.urlparse(url))
-    if not url_parts[0]:  # fix up schema
-        url_parts[0] = base_parts[0] or "http"
-    if not url_parts[1]:  # fix up hostname
-        url_parts[1] = base_parts[1]
-        if not url_parts[2].startswith("/"):
-            url_parts[2] = re.sub(r"/[^/]+$", "/", base_parts[2]) + url_parts[2]
-    return urlparse.urlunparse(url_parts)
-
-
 def _is_media(content_type: str) -> bool:
     return content_type.lower().startswith("image/")
 
@@ -940,68 +638,3 @@ def _is_html(content_type: str) -> bool:
 
 def _is_json(content_type: str) -> bool:
     return content_type.lower().startswith("application/json")
-
-
-def summarize_paragraphs(
-    text_nodes: Iterable[str], min_size: int = 200, max_size: int = 500
-) -> Optional[str]:
-    """
-    Try to get a summary respecting first paragraph and then word boundaries.
-
-    Args:
-        text_nodes: The paragraphs to summarize.
-        min_size: The minimum number of words to include.
-        max_size: The maximum number of words to include.
-
-    Returns:
-        A summary of the text nodes, or None if that was not possible.
-    """
-
-    # TODO: Respect sentences?
-
-    description = ""
-
-    # Keep adding paragraphs until we get to the MIN_SIZE.
-    for text_node in text_nodes:
-        if len(description) < min_size:
-            text_node = re.sub(r"[\t \r\n]+", " ", text_node)
-            description += text_node + "\n\n"
-        else:
-            break
-
-    description = description.strip()
-    description = re.sub(r"[\t ]+", " ", description)
-    description = re.sub(r"[\t \r\n]*[\r\n]+", "\n\n", description)
-
-    # If the concatenation of paragraphs to get above MIN_SIZE
-    # took us over MAX_SIZE, then we need to truncate mid paragraph
-    if len(description) > max_size:
-        new_desc = ""
-
-        # This splits the paragraph into words, but keeping the
-        # (preceding) whitespace intact so we can easily concat
-        # words back together.
-        for match in re.finditer(r"\s*\S+", description):
-            word = match.group()
-
-            # Keep adding words while the total length is less than
-            # MAX_SIZE.
-            if len(word) + len(new_desc) < max_size:
-                new_desc += word
-            else:
-                # At this point the next word *will* take us over
-                # MAX_SIZE, but we also want to ensure that its not
-                # a huge word. If it is add it anyway and we'll
-                # truncate later.
-                if len(new_desc) < min_size:
-                    new_desc += word
-                break
-
-        # Double check that we're not over the limit
-        if len(new_desc) > max_size:
-            new_desc = new_desc[:max_size]
-
-        # We always add an ellipsis because at the very least
-        # we chopped mid paragraph.
-        description = new_desc.strip() + "…"
-    return description if description else None