microblog.pub/app/source.py
2022-06-29 08:56:39 +02:00

90 lines
2.7 KiB
Python

import re
from markdown import markdown
from sqlalchemy import select
from sqlalchemy.orm import Session
from app import models
from app import webfinger
from app.actor import Actor
from app.actor import fetch_actor
from app.config import BASE_URL
from app.utils import emoji
def _set_a_attrs(attrs, new=False):
attrs[(None, "target")] = "_blank"
attrs[(None, "class")] = "external"
attrs[(None, "rel")] = "noopener"
attrs[(None, "title")] = attrs[(None, "href")]
return attrs
_HASHTAG_REGEX = re.compile(r"(#[\d\w]+)")
_MENTION_REGEX = re.compile(r"@[\d\w_.+-]+@[\d\w-]+\.[\d\w\-.]+")
def _hashtagify(db: Session, content: str) -> tuple[str, list[dict[str, str]]]:
tags = []
hashtags = re.findall(_HASHTAG_REGEX, content)
hashtags = sorted(set(hashtags), reverse=True) # unique tags, longest first
for hashtag in hashtags:
tag = hashtag[1:]
link = f'<a href="{BASE_URL}/t/{tag}" class="mention hashtag" rel="tag">#<span>{tag}</span></a>' # noqa: E501
tags.append(dict(href=f"{BASE_URL}/t/{tag}", name=hashtag, type="Hashtag"))
content = content.replace(hashtag, link)
return content, tags
def _mentionify(
db: Session,
content: str,
) -> tuple[str, list[dict[str, str]], list[Actor]]:
tags = []
mentioned_actors = []
for mention in re.findall(_MENTION_REGEX, content):
_, username, domain = mention.split("@")
actor = db.execute(
select(models.Actor).where(models.Actor.handle == mention)
).scalar_one_or_none()
if not actor:
actor_url = webfinger.get_actor_url(mention)
if not actor_url:
# FIXME(ts): raise an error?
continue
actor = fetch_actor(db, actor_url)
mentioned_actors.append(actor)
tags.append(dict(type="Mention", href=actor.url, name=mention))
link = f'<span class="h-card"><a href="{actor.url}" class="u-url mention">@{username}</a></span>' # noqa: E501
content = content.replace(mention, link)
return content, tags, mentioned_actors
def markdownify(
db: Session,
content: str,
mentionify: bool = True,
hashtagify: bool = True,
) -> tuple[str, list[dict[str, str]], list[Actor]]:
"""
>>> content, tags = markdownify("Hello")
"""
tags = []
mentioned_actors: list[Actor] = []
if hashtagify:
content, hashtag_tags = _hashtagify(db, content)
tags.extend(hashtag_tags)
if mentionify:
content, mention_tags, mentioned_actors = _mentionify(db, content)
tags.extend(mention_tags)
# Handle custom emoji
tags.extend(emoji.tags(content))
content = markdown(content, extensions=["mdx_linkify"])
return content, tags, mentioned_actors