mirror of
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180 lines
4.3 KiB
Python
180 lines
4.3 KiB
Python
from functools import partial
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import bleach
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from bleach import Cleaner
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from bleach.linkifier import LinkifyFilter
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from bs4 import BeautifulSoup
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from markdown import Markdown
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from flask import Markup, url_for
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from markdown.extensions import Extension
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from markdown.inlinepatterns import SimpleTagInlineProcessor
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from markdown.inlinepatterns import Pattern
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from xml.etree import ElementTree
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# Based on
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# https://github.com/Wenzil/mdx_bleach/blob/master/mdx_bleach/whitelist.py
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#
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# License: MIT
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ALLOWED_TAGS = [
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"h1", "h2", "h3", "h4", "h5", "h6", "hr",
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"ul", "ol", "li",
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"p",
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"br",
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"pre",
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"code",
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"blockquote",
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"strong",
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"em",
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"a",
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"img",
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"table", "thead", "tbody", "tr", "th", "td",
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"div", "span", "del", "s",
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]
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ALLOWED_CSS = [
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"highlight", "codehilite",
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"hll", "c", "err", "g", "k", "l", "n", "o", "x", "p", "ch", "cm", "cp", "cpf", "c1", "cs",
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"gd", "ge", "gr", "gh", "gi", "go", "gp", "gs", "gu", "gt", "kc", "kd", "kn", "kp", "kr",
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"kt", "ld", "m", "s", "na", "nb", "nc", "no", "nd", "ni", "ne", "nf", "nl", "nn", "nx",
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"py", "nt", "nv", "ow", "w", "mb", "mf", "mh", "mi", "mo", "sa", "sb", "sc", "dl", "sd",
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"s2", "se", "sh", "si", "sx", "sr", "s1", "ss", "bp", "fm", "vc", "vg", "vi", "vm", "il",
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]
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def allow_class(_tag, name, value):
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return name == "class" and value in ALLOWED_CSS
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ALLOWED_ATTRIBUTES = {
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"h1": ["id"],
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"h2": ["id"],
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"h3": ["id"],
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"h4": ["id"],
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"a": ["href", "title", "data-username"],
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"img": ["src", "title", "alt"],
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"code": allow_class,
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"div": allow_class,
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"span": allow_class,
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}
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ALLOWED_PROTOCOLS = ["http", "https", "mailto"]
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md = None
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def render_markdown(source):
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html = md.convert(source)
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cleaner = Cleaner(
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tags=ALLOWED_TAGS,
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attributes=ALLOWED_ATTRIBUTES,
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protocols=ALLOWED_PROTOCOLS,
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filters=[partial(LinkifyFilter, callbacks=bleach.linkifier.DEFAULT_CALLBACKS)])
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return cleaner.clean(html)
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class DelInsExtension(Extension):
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def extendMarkdown(self, md):
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del_proc = SimpleTagInlineProcessor(r"(\~\~)(.+?)(\~\~)", "del")
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md.inlinePatterns.register(del_proc, "del", 200)
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ins_proc = SimpleTagInlineProcessor(r"(\+\+)(.+?)(\+\+)", "ins")
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md.inlinePatterns.register(ins_proc, "ins", 200)
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RE_PARTS = dict(
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USER=r"[A-Za-z0-9._-]*\b",
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REPO=r"[A-Za-z0-9_]+\b"
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)
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class MentionPattern(Pattern):
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ANCESTOR_EXCLUDES = ("a",)
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def __init__(self, config, md):
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MENTION_RE = r"(@({USER})(?:\/({REPO}))?)".format(**RE_PARTS)
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super(MentionPattern, self).__init__(MENTION_RE, md)
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self.config = config
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def handleMatch(self, m):
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from app.models import User
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label = m.group(2)
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user = m.group(3)
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package_name = m.group(4)
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if package_name:
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el = ElementTree.Element("a")
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el.text = label
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el.set("href", url_for("packages.view", author=user, name=package_name))
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return el
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else:
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if User.query.filter_by(username=user).count() == 0:
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return None
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el = ElementTree.Element("a")
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el.text = label
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el.set("href", url_for("users.profile", username=user))
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el.set("data-username", user)
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return el
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class MentionExtension(Extension):
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def __init__(self, *args, **kwargs):
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super(MentionExtension, self).__init__(*args, **kwargs)
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def extendMarkdown(self, md):
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md.ESCAPED_CHARS.append("@")
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md.inlinePatterns.register(MentionPattern(self.getConfigs(), md), "mention", 20)
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MARKDOWN_EXTENSIONS = ["fenced_code", "tables", "codehilite", "toc", DelInsExtension(), MentionExtension()]
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MARKDOWN_EXTENSION_CONFIG = {
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"fenced_code": {},
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"tables": {},
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"codehilite": {
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"guess_lang": False,
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}
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}
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def init_markdown(app):
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global md
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md = Markdown(extensions=MARKDOWN_EXTENSIONS,
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extension_configs=MARKDOWN_EXTENSION_CONFIG,
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output_format="html5")
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@app.template_filter()
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def markdown(source):
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return Markup(render_markdown(source))
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def get_headings(html: str):
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soup = BeautifulSoup(html, "html.parser")
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headings = soup.find_all(["h1", "h2", "h3"])
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root = []
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stack = []
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for heading in headings:
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this = {"link": heading.get("id") or "", "text": heading.text, "children": []}
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this_level = int(heading.name[1:]) - 1
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while this_level <= len(stack):
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stack.pop()
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if len(stack) > 0:
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stack[-1]["children"].append(this)
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else:
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root.append(this)
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stack.append(this)
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return root
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def get_user_mentions(html: str) -> set:
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soup = BeautifulSoup(html, "html.parser")
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links = soup.select("a[data-username]")
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return set([x.get("data-username") for x in links])
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