Slack has no native table support, so Markdown tables are passed
through verbatim by slackify-markdown. Pre-process tables into
readable key-value rows before converting to mrkdwn.
Assisted-by: Claude 4.6 Opus (Anthropic)
Replace the regex-based Markdown-to-Slack converter with the
slackify-markdown library, which uses a proper Markdown parser
(markdown-it-py, already a dependency) to correctly handle headings,
bold/italic, code blocks, links, bullet lists, and strikethrough.
The regex approach didn't handle headings (###), bullet lists (* ),
or code block protection, causing raw Markdown to leak into Slack
messages.
Net -40 lines.
Assisted-by: Claude 4.6 Opus (Anthropic)
- Added _split_message() helper for cleaner separation of concerns
- Simplified send() method by using the helper
- Net -18 lines for the message splitting feature
Telegram has a 4096 character limit per message. This fix:
- Splits messages longer than 4000 chars into multiple chunks
- Prefers breaking at newline boundaries to preserve formatting
- Falls back to space boundaries if no newlines available
- Forces split at max length if no good boundaries exist
- Adds comprehensive tests for message splitting logic
Newly added the _extract_post_text function to extract plain text content from Feishu rich text messages, supporting the parsing of titles, text, links, and @mentions.
Markdown heading syntax (#) is not properly rendered in Feishu interactive
cards. Convert headings to div elements with lark_md format (bold text) for
proper display.
- Add _HEADING_RE regex to match markdown headings (h1-h6)
- Add _split_headings() method to parse and convert headings to div elements
- Update _build_card_elements() to process headings before markdown content
Add official QQ platform support using botpy SDK with WebSocket connection.
Features:
- C2C (private message) support via QQ Open Platform
- WebSocket-based bot connection (no public IP required)
- Message deduplication with efficient deque-based LRU cache
- User whitelist support via allow_from configuration
- Clean async architecture using single event loop
Changes:
- Add QQChannel implementation in nanobot/channels/qq.py
- Add QQConfig schema with appId and secret fields
- Register QQ channel in ChannelManager
- Update README with QQ setup instructions
- Add qq-botpy dependency to pyproject.toml
- Add botpy.log to .gitignore
Setup:
1. Get AppID and Secret from q.qq.com
2. Configure in ~/.nanobot/config.json:
{
"channels": {
"qq": {
"enabled": true,
"appId": "YOUR_APP_ID",
"secret": "YOUR_APP_SECRET",
"allowFrom": []
}
}
}
3. Run: nanobot gateway
Note: Group chat support will be added in future updates.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
