mirror of
https://git.sr.ht/~tsileo/microblog.pub
synced 2024-11-19 21:24:27 +00:00
200 lines
5.8 KiB
Python
200 lines
5.8 KiB
Python
import re
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import typing
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from mistletoe import Document # type: ignore
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from mistletoe.html_renderer import HTMLRenderer # type: ignore
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from mistletoe.span_token import SpanToken # type: ignore
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from pygments import highlight # type: ignore
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from pygments.formatters import HtmlFormatter # type: ignore
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from pygments.lexers import get_lexer_by_name as get_lexer # type: ignore
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from pygments.lexers import guess_lexer # type: ignore
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from sqlalchemy import select
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from app import webfinger
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from app.config import BASE_URL
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from app.config import CODE_HIGHLIGHTING_THEME
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from app.database import AsyncSession
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from app.utils import emoji
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if typing.TYPE_CHECKING:
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from app.actor import Actor
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_FORMATTER = HtmlFormatter(style=CODE_HIGHLIGHTING_THEME)
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_HASHTAG_REGEX = re.compile(r"(#[\d\w]+)")
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_MENTION_REGEX = re.compile(r"(@[\d\w_.+-]+@[\d\w-]+\.[\d\w\-.]+)")
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_URL_REGEX = re.compile(
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"(https?:\\/\\/(?:www\\.)?[-a-zA-Z0-9@:%._\\+~#=]{1,256}\\.[a-zA-Z0-9()]{1,6}\\b(?:[-a-zA-Z0-9()@:%_\\+.~#?&\\/=]*))" # noqa: E501
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)
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class AutoLink(SpanToken):
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parse_inner = False
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precedence = 1
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pattern = _URL_REGEX
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def __init__(self, match_obj: re.Match) -> None:
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self.target = match_obj.group()
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class Mention(SpanToken):
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parse_inner = False
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precedence = 10
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pattern = _MENTION_REGEX
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def __init__(self, match_obj: re.Match) -> None:
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self.target = match_obj.group()
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class Hashtag(SpanToken):
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parse_inner = False
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precedence = 10
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pattern = _HASHTAG_REGEX
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def __init__(self, match_obj: re.Match) -> None:
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self.target = match_obj.group()
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class CustomRenderer(HTMLRenderer):
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def __init__(
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self,
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mentioned_actors: dict[str, "Actor"] = {},
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enable_mentionify: bool = True,
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enable_hashtagify: bool = True,
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) -> None:
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extra_tokens = []
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if enable_mentionify:
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extra_tokens.append(Mention)
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if enable_hashtagify:
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extra_tokens.append(Hashtag)
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super().__init__(AutoLink, *extra_tokens)
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self.tags: list[dict[str, str]] = []
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self.mentioned_actors = mentioned_actors
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def render_auto_link(self, token: AutoLink) -> str:
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template = '<a href="{target}" rel="noopener">{inner}</a>'
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target = self.escape_url(token.target)
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return template.format(target=target, inner=target)
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def render_mention(self, token: Mention) -> str:
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mention = token.target
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actor = self.mentioned_actors.get(mention)
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if not actor:
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return mention
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self.tags.append(dict(type="Mention", href=actor.ap_id, name=mention))
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link = f'<span class="h-card"><a href="{actor.url}" class="u-url mention">{actor.handle}</a></span>' # noqa: E501
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return link
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def render_hashtag(self, token: Hashtag) -> str:
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tag = token.target[1:]
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link = f'<a href="{BASE_URL}/t/{tag.lower()}" class="mention hashtag" rel="tag">#<span>{tag}</span></a>' # noqa: E501
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self.tags.append(
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dict(
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href=f"{BASE_URL}/t/{tag.lower()}",
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name=token.target.lower(),
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type="Hashtag",
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)
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)
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return link
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def render_block_code(self, token: typing.Any) -> str:
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code = token.children[0].content
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lexer = get_lexer(token.language) if token.language else guess_lexer(code)
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return highlight(code, lexer, _FORMATTER)
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async def _prefetch_mentioned_actors(
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db_session: AsyncSession,
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content: str,
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) -> dict[str, "Actor"]:
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from app import models
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from app.actor import fetch_actor
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actors = {}
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for mention in re.findall(_MENTION_REGEX, content):
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if mention in actors:
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continue
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_, username, domain = mention.split("@")
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actor = (
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await db_session.execute(
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select(models.Actor).where(
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models.Actor.handle == mention,
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models.Actor.is_deleted.is_(False),
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)
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)
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).scalar_one_or_none()
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if not actor:
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actor_url = await webfinger.get_actor_url(mention)
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if not actor_url:
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# FIXME(ts): raise an error?
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continue
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actor = await fetch_actor(db_session, actor_url)
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actors[mention] = actor
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return actors
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def hashtagify(
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content: str,
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) -> tuple[str, list[dict[str, str]]]:
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tags = []
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with CustomRenderer(
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mentioned_actors={},
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enable_mentionify=False,
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enable_hashtagify=True,
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) as renderer:
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rendered_content = renderer.render(Document(content))
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tags.extend(renderer.tags)
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# Handle custom emoji
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tags.extend(emoji.tags(content))
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return rendered_content, tags
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async def markdownify(
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db_session: AsyncSession,
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content: str,
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enable_mentionify: bool = True,
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enable_hashtagify: bool = True,
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) -> tuple[str, list[dict[str, str]], list["Actor"]]:
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"""
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>>> content, tags = markdownify("Hello")
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"""
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tags = []
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mentioned_actors: dict[str, "Actor"] = {}
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if enable_mentionify:
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mentioned_actors = await _prefetch_mentioned_actors(db_session, content)
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with CustomRenderer(
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mentioned_actors=mentioned_actors,
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enable_mentionify=enable_mentionify,
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enable_hashtagify=enable_hashtagify,
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) as renderer:
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rendered_content = renderer.render(Document(content))
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tags.extend(renderer.tags)
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# Handle custom emoji
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tags.extend(emoji.tags(content))
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return rendered_content, dedup_tags(tags), list(mentioned_actors.values())
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def dedup_tags(tags: list[dict[str, str]]) -> list[dict[str, str]]:
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idx = set()
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deduped_tags = []
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for tag in tags:
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tag_idx = (tag["type"], tag["name"])
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if tag_idx in idx:
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continue
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idx.add(tag_idx)
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deduped_tags.append(tag)
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return deduped_tags
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