Jean-Pierre MartineauandClaude Opus 4.8 421781f13d Fix auto-path traces, harden contacts retrieval, add device config tooling
Trace:
- Auto-path now ends every route at the target's own hash (verified on
  hardware: a trace only replies when its destination is the final hop), so
  direct neighbors and learned multi-hop routes both resolve correctly.
- Retry the transient "no event received during contacts retrieval" blip and
  surface a clean DeviceCommandError instead of a raw traceback.
- Route summary annotates each node with its hash at the command's path-hash
  width, wrapping after an arrow when the line is too long.
- Default trace count changed from 5 to 3.

Also includes the in-progress device-config feature (config_io, device_config,
config tool, config editor UI, tests) and related supporting edits.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-21 11:19:21 -04:00

MeshTools

A modern, extensible command-line toolkit for tuning and exploring a MeshCore mesh through a serial-connected companion device.

MeshTools is interactive by default (a Rich + Questionary menu) and fully scriptable (every menu option is also a Typer subcommand). Every run is logged to SQLite and can be turned into interactive HTML visualizations.

Features

Feature Status What it does
Trace ✅ skeleton Run repeated path traces to a target and aggregate per-hop SNR.
Device info ✅ skeleton Show the connected companion device's identity and radio config.
Device config ✅ working View and change every setting (name, radio, behavior, experimental), with TOML backup/restore, channels, and gated destructive ops.
Device discovery ✅ working Enumerate serial devices, pick one interactively, and remember the last good default.
History / DB ✅ skeleton Every tool execution and measurement is persisted and queryable.
TX-power optimization ✅ working Sweep transmit power (coarse + refine), converge on the best signal, optionally apply, render an interactive chart.
Path optimization 🚧 planned Discover and score mesh paths from neighbors outward.
Visualizations 🟡 partial Plotly TX-sweep chart (HTML) done; pyvis mesh graph + time-series planned.

Install

pip install -e ".[dev]"

Python 3.10+ is required (matching the meshcore library).

Usage

# Interactive menu (default)
meshtools

# Scripted: every menu option is also a subcommand
meshtools trace --target Alice --samples 10 --profile yagi

# Force a route through specific repeaters (MeshCore-app style): comma-separated
# contact names and/or hex key prefixes, mixed freely. Blank lets the device route.
meshtools trace --target Alice --path "3d,f2,3d"
meshtools trace --target Alice --path "3d,Bravo-Repeater,f2"
meshtools tx-optimize --target Alice --samples 6 --step 3 --apply
meshtools info
meshtools history

# Device configuration: view, set, back up, restore
meshtools config                       # show all current settings
meshtools config set radio_sf 9        # change one setting
meshtools config backup node.toml      # archive every setting to TOML
meshtools config restore node.toml --dry-run

# No radio attached? Use the built-in simulator for development.
meshtools --mock trace --target Alice

Architecture

MeshTools is layered so features are added by dropping a single file in meshtools/tools/:

cli.py        Typer app; no subcommand -> interactive menu
context.py    AppContext (console, config, repository, device) dependency container
core/         Domain: models, config + device profiles, connection abstraction (+ mock)
tools/        Pluggable "menu options"; each self-registers and gets logging for free
services/     Algorithms (trace aggregation, tx search, path exploration) — no UI
persistence/  SQLite schema, repository, structured logging
ui/           Rich theme/widgets + Questionary menu
viz/          Plotly / pyvis renderers -> HTML & PNG

Adding a feature means subclassing Tool, decorating it with @register, and implementing run(). The same registry builds both the CLI and the menu, and the base class wraps every execution in a logged runs row automatically.

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