The existing markdown suite was strong on UTF-16 offsets and chunk
redistribution but had no coverage for nested or adjacent styles, no test
that an unmatched opener round-trips as plain text, and no test for the
blockquote/inline-code interaction. Add six cases including the
documented contiguous-BOLD output for `# **wrap** me`, which Signal
renders as one visual span.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
split_message can break a long Signal payload into multiple JSON-RPC sends,
but the previous code attached the full textStyle list only to chunk 0.
Style ranges in later chunks were dropped, and ranges whose offsets pointed
past chunk 0's end were sent as invalid metadata against chunk 0.
Add _partition_styles, which rebases each range against the chunk it lives
in (in UTF-16 code units, matching the markdown converter) and splits
boundary-spanning ranges across the chunks they touch. Whitespace trimmed
by split_message's lstrip is skipped so offsets stay aligned.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Signal's BodyRange (via signal-cli's textStyle) interprets start/length as
UTF-16 code units, but the Phase-3 assembly used Python's len(), which counts
code points. A single non-BMP character (e.g. an emoji) earlier in a message
shifted every subsequent styled span left by one unit, dropping the last
letter of bold/italic words.
Track a running UTF-16 offset in the assembly loop and add regression tests
covering emojis, supplementary CJK, ZWJ sequences, and a multi-section
message that mirrors the reported failure.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Integrates signal-cli daemon via HTTP JSON-RPC as a nanobot channel.
Supports DMs and group chats with open/allowlist access policies,
markdown→Signal text style conversion, typing indicators, attachment
handling, group message context buffering, and automatic reconnect
with exponential backoff.
Includes unit tests for channel lifecycle, message routing, mention
detection, markdown conversion, and message splitting.
Originally based on https://github.com/HKUDS/nanobot/pull/601.
