mirror of https://git.sr.ht/~tsileo/microblog.pub
94 lines
2.9 KiB
Python
94 lines
2.9 KiB
Python
import re
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from markdown import markdown
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from sqlalchemy import select
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from app import models
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from app import webfinger
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from app.actor import Actor
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from app.actor import fetch_actor
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from app.config import BASE_URL
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from app.database import AsyncSession
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from app.utils import emoji
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def _set_a_attrs(attrs, new=False):
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attrs[(None, "target")] = "_blank"
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attrs[(None, "class")] = "external"
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attrs[(None, "rel")] = "noopener"
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attrs[(None, "title")] = attrs[(None, "href")]
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return attrs
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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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async def _hashtagify(
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db_session: AsyncSession, content: str
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) -> tuple[str, list[dict[str, str]]]:
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tags = []
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hashtags = re.findall(_HASHTAG_REGEX, content)
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hashtags = sorted(set(hashtags), reverse=True) # unique tags, longest first
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for hashtag in hashtags:
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tag = hashtag[1:]
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link = f'<a href="{BASE_URL}/t/{tag}" class="mention hashtag" rel="tag">#<span>{tag}</span></a>' # noqa: E501
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tags.append(dict(href=f"{BASE_URL}/t/{tag}", name=hashtag, type="Hashtag"))
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content = content.replace(hashtag, link)
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return content, tags
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async def _mentionify(
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db_session: AsyncSession,
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content: str,
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) -> tuple[str, list[dict[str, str]], list[Actor]]:
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tags = []
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mentioned_actors = []
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for mention in re.findall(_MENTION_REGEX, content):
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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(models.Actor.handle == mention)
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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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mentioned_actors.append(actor)
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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">@{username}</a></span>' # noqa: E501
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content = content.replace(mention, link)
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return content, tags, mentioned_actors
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async def markdownify(
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db_session: AsyncSession,
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content: str,
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mentionify: bool = True,
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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: list[Actor] = []
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if hashtagify:
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content, hashtag_tags = await _hashtagify(db_session, content)
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tags.extend(hashtag_tags)
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if mentionify:
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content, mention_tags, mentioned_actors = await _mentionify(db_session, content)
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tags.extend(mention_tags)
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# Handle custom emoji
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tags.extend(emoji.tags(content))
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content = markdown(content, extensions=["mdx_linkify", "fenced_code"])
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return content, tags, mentioned_actors
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