meshing-around
Random Mesh Scripts for Network Testing and BBS Activities for Use with Meshtastic Nodes
mesh_bot.sh
The feature-rich bot requires the internet for full functionality. These responder bots will trap keywords like ping and respond to a DM (direct message) with pong! The script will also monitor the group channels for keywords to trap. You can also Ping @Data to Echo as an example.
Along with network testing, this bot has a lot of other fun features, like simple mail messaging you can leave for another device, and when that device is seen, it can send the mail as a DM. Or a scheduler to send weather or a reminder weekly for the VHF net.
The bot is also capable of using dual radio/nodes, so you can monitor two networks at the same time and send messages to nodes using the same bbspost @nodeNumber #message or bbspost @nodeShportName #message function. There is a small message board to fit in the constraints of Meshtastic for posting bulletin messages with bbspost $subject #message.
Look up data using wiki results or interact with Ollama LLM AI see the OllamaDocs If Ollama is enabled you can DM the bot directly. The default model for mesh-bot which is currently gemma2:2b
The bot will report on anyone who is getting close to the configured lat/long, if in a remote location.
Store and forward-like message re-play with messages, and there is a repeater module for dual radio bots to cross post messages. Messages are also logged locally to disk.
The bot can also be used to monitor a radio frequency and let you know when high SNR RF activity is seen. Using Hamlib(rigctld) to watch the S meter on a connected radio. You can send alerts to channels when a frequency is detected for 20 seconds within the thresholds set in config.ini
Any messages that are over 160 characters are chunked into 160 message bytes to help traverse hops, in testing, this keeps delivery success higher.
Donate$ via PayPal if you like the project!
Full list of commands for the bot
- Various solar details for radio propagation (spaceWeather module)
sunandmoonreturn info on rise and set local timesolargives an idea of the x-ray fluxhfcondreturns a table of HF solar conditions
- Bulletin Board (BBS) functions
bbshelpreturns the followingbbslistlist the messages by ID and subjectbbsreadread a message example use:bbsread #1bbspostpost a message to public board or send a DM example use:bbspost $subject #message, or bbspost @nodeNumber #message or bbspost @nodeShportName #messagebbsdeletedelete a message example use:bbsdelete #4
- Other functions
whereamireturns the address of location of sender if knowntidereturns the local tides, NOAA data sourcewxandwxcreturns local weather forecast, (wxc is metric value), NOAA or Open Meteo for weather forecasting.wxaandwxalertreturn NOAA alerts. Short title or expanded detailsjoketells a jokewiki:will search wikipedia, return the first few sentances of first result if a matchwiki: lora radioaskaiandask:will ask Ollama LLM AI for a responseaskai what temp do I cook chickenmessagesReplay the last messages heard, like Store and Forwardmotdor to set the messagemotd $New Message Of the daylheardreturns the last 5 heard nodes with SNR, can also usesitrepcmdreturns the list of commands (the help message)
pong_bot.sh
Stripped-down bot, mostly around for archive purposes. The mesh-bot enhanced modules can be disabled by config to disable features.
Hardware
The project is written on Linux on a Pi and should work anywhere Meshtastic Python modules will function, with any supported Meshtastic hardware. While BLE and TCP will work, they are not as reliable as serial connections.
Install
Clone the project with git clone https://github.com/spudgunman/meshing-around
code is under a lot of development, so check back often with git pull
Copy config.template to config.ini and edit for your needs.
pip install -r requirements.txt
Optionally:
install.shwill automate optional venv and requirements installation.launch.shwill activate and launch the app in the venv if built.
For Docker:
git clone https://github.com/spudgunman/meshing-aroundcd meshing-around && docker build -t meshing-arounddocker run meshing-around
Configurations
Copy the config.template to config.ini and set the appropriate interface for your method (serial/ble/tcp). While BLE and TCP will work, they are not as reliable as serial connections. There is a watchdog to reconnect tcp if possible. To get BLE mac meshtastic --ble-scan NOTE I have only tested with a single BLE device and the code is written to only have one interface be a BLE port
#config.ini
# type can be serial, tcp, or ble.
# port is the serial port to use; commented out will try to auto-detect
# hostname is the IP address of the device to connect to for TCP type
# mac is the MAC address of the device to connect to for ble type
[interface]
type = serial
# port = '/dev/ttyUSB0'
# hostname = 192.168.0.1
# mac = 00:11:22:33:44:55
# Additional interface for dual radio support See config.template for more.
[interface2]
enabled = False
The following pair of settings determine how to respond: The default action is to not spam the default channel. Setting'respond_by_DM_only'` will force all messages to be sent to DM, which may not be wanted. Setting the value to False will allow responses in the channel for all to see.
Setting the default channel is the channel that won't be spammed by the bot. It's the public default channel 0 on the new Meshtastic firmware. Anti-Spam is hard-coded into the responder to prevent abuse of the public channel.
[general]
respond_by_dm_only = True
defaultChannel = 0
The weather forecasting defaults to NOAA but for outside the USA you can set UseMeteoWxAPI True to use a world weather API. The lat and lon are for defaults when a node has no location data to use.
[location]
enabled = True
lat = 48.50
lon = -123.0
UseMeteoWxAPI = True
Modules can be disabled or enabled.
[bbs]
enabled = False
[general]
DadJokes = False
StoreForward = False
Sentry Bot detects anyone coming close to the bot-node
# detect anyone close to the bot
SentryEnabled = True
# radius in meters to detect someone close to the bot
SentryRadius = 100
# holdoff time multiplied by seconds(20) of the watchdog
SentryChannel = 9
# channel to send a message to when the watchdog is triggered
SentryHoldoff = 2
# list of ignored nodes numbers ex: 2813308004,4258675309
sentryIgnoreList =
The BBS has admin and block lists; see the config.template
A repeater function for two different nodes and cross-posting messages. The'repeater_channels` is a list of repeater channel(s) that will be consumed and rebroadcast on the same number channel on the other device, node, or interface. Each node should have matching channel numbers. The channel names and PSK do not need to be the same on the nodes. With great power comes great responsibility; danger could lurk in the use of this feature! If you have the two nodes in the same radio configuration, you could create a feedback loop!!!
# repeater module
[repeater]
enabled = True
repeater_channels = [2, 3]
A module allowing a Hamlib compatible radio to connect to the bot, when functioning it will message the channel configured with a message of in use. Requires hamlib/rigctld to be running as a service.
[radioMon]
enabled = False
rigControlServerAddress = localhost:4532
# channel to broadcast to can be 2,3
sigWatchBroadcastCh = 2
# minimum SNR as reported by radio via hamlib
signalDetectionThreshold = -10
# hold time for high SNR
signalHoldTime = 10
# the following are combined to reset the monitor
signalCooldown = 5
signalCycleLimit = 5
Ollama Settings, for Ollama to work the command line ollama run 'model' needs to work properly. Check that you have enough RAM and your GPU are working as expected. The default model for this project, is set to gemma2:2b (run ollama pull gemma2:2b on command line, to download and setup) however I have found gemma2:2b to be lighter, faster and seems better overall vs llama3,1 (olamma pull llama3.1)
- From the command terminal of your system with mesh-bot, download the default model for mesh-bot which is currently
ollama pull gemma2:2b
Enable History, set via code readme Ollama Config in Settings and llm.py
# Enable ollama LLM see more at https://ollama.com
ollama = True
# Ollama model to use (defaults to llama3.1)
ollamaModel = gemma2:2b
also see llm.py for changing the defautls of
llmEnableHistory = False
llmContext_fromGoogle = True
Logging messages to disk or Syslog to disk uses the python native logging function. Take a look at the /modules/log.py you can set the file logger for syslog to INFO for example to not log DEBUG messages to file log, or modify the stdOut level.
[general]
# logging to file of the non Bot messages
LogMessagesToFile = True
# Logging of system messages to file
SyslogToFile = True
Example to log to disk only INFO and higher (ignore DEBUG)
*log.py
file_handler.setLevel(logging.INFO) # DEBUG used by default for system logs to disk example here shows INFO
The Scheduler is enabled in the settings.py by setting scheduler_enabled = True the actions and settings are via code only at this time. see mesh_bot.py around line 425 to edit schedule its most flexible to edit raw code right now. See https://schedule.readthedocs.io/en/stable/ for more.
# Send WX every Morning at 08:00 using handle_wxc function to channel 2 on device 1
#schedule.every().day.at("08:00").do(lambda: send_message(handle_wxc(0, 1, 'wx'), 2, 0, 1))
# Send a Net Starting Now Message Every Wednesday at 19:00 using send_message function to channel 2 on device 1
#schedule.every().wednesday.at("19:00").do(lambda: send_message("Net Starting Now", 2, 0, 1))
requirements
Python 3.10 minimally is needed, developed on latest release.
The following can also be installed with pip install -r requirements.txt or using the install.sh script for venv and automation
pip install meshtastic
pip install pubsub
mesh-bot enhancements
pip install pyephem
pip install requests
pip install geopy
pip install maidenhead
pip install beautifulsoup4
pip install dadjokes
pip install geopy
pip install schedule
pip install wikipedia
The following is needed for open-meteo use
pip install openmeteo_requests
pip install retry_requests
pip install numpy
The following is for the Ollama LLM
pip install langchain
pip install langchain-ollama
pip install ollama
pip install googlesearch-python
To enable emoji in the Debian console, install the fonts sudo apt-get install fonts-noto-color-emoji
Recognition
I used ideas and snippets from other responder bots and want to call them out!
- https://github.com/Murturtle/MeshLink
- https://github.com/pdxlocations/meshtastic-Python-Examples
- https://github.com/geoffwhittington/meshtastic-matrix-relay
GitHub user mrpatrick1991 For Docker configs, PiDiBi looking at test functions and other suggestions like wxc, CPU use, and alerting ideas Discord and Mesh user Cisien, and github Hailo1999, for testing and ideas!
