swaitsandClaude Opus 4.6
9e6f171c5d
Split 1424-line monolith into orac/ package with clean separation: - constants.py — bot identity, radio config, triggers, limits - crypto.py — Ed25519 identity, channel/peer crypto, ECDH - meshcore.py — packet parsing/building, routing, dedup, node registry - ai.py — Claude API integration, query extraction - state.py — JSON persistence, history tracking - bot.py — main loop, packet dispatch, connection management Removed duplicated donglora library code (cobs_frame, read_frame, encode_radio_config, encode_command, decode_response) — now uses donglora.send/recv/connect directly. Added MeshCore Public channel (fixed PSK 8b3387e9...cd72) and expanded built-in hashtag channels: #nodeops, #repeater-ops, #test, #weather, #protest, #general, #bot, #net, #emcomm. Replaced ANSI print() with stdlib logging (color formatter for TTY). Fixed dependency (donglora-python -> donglora). Strict ruff linting. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
36 lines
675 B
TOML
36 lines
675 B
TOML
[project]
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name = "donglora-ai-bot"
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version = "0.1.0"
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description = "MeshCore AI chatbot — default mesh name 'Orac'"
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license = "MIT"
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requires-python = ">=3.10"
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authors = [{ name = "Stephen Waits" }]
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dependencies = [
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"donglora",
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"anthropic",
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"cobs",
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"pyserial",
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"pycryptodome",
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"pynacl",
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]
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[dependency-groups]
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dev = ["ruff"]
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[tool.uv]
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package = false
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[tool.uv.sources]
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donglora = { path = "../client-py", editable = true }
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[tool.ruff]
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line-length = 100
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target-version = "py310"
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[tool.ruff.lint]
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select = ["E", "W", "F", "I", "UP", "B", "C4", "ARG", "SIM", "RUF"]
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ignore = ["E501"]
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[tool.ruff.lint.isort]
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known-first-party = ["donglora", "orac"]
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