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rcarteraz 2024-10-16 12:52:53 -07:00
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8
docs/software/meshtasticator/interactive-sim.mdx
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@ -22,7 +22,7 @@ The simulator runs the Linux native application of Meshtastic firmware. You can
### Using PlatformIO ### Using PlatformIO
Select 'native' and click 'build.' Locate the generated binary file, likely in `_Meshtastic-device/.pio/build/native/_`. Select 'native' and click 'build.' Locate the generated binary file, likely in _`firmware/.pio/build/native/`_.
Copy the `program` file to the directory where you'll run the Python script, or provide the path as an argument with `-p`: Copy the `program` file to the directory where you'll run the Python script, or provide the path as an argument with `-p`:
@ -96,7 +96,7 @@ python3 interactiveSim.py 3 -s
## Tips and Tricks ## Tips and Tricks
1. **Speeding Up NodeInfo Exchange:** 1. **Speeding Up NodeInfo Exchange:**
Disable certain modules by removing `new NodeInfoModule()` from `_src/modules/Modules.cpp_` in the firmware. Disable certain modules by removing `new NodeInfoModule()` from _`src/modules/Modules.cpp`_ in the firmware.
2. **Saving and Reloading Configurations:** 2. **Saving and Reloading Configurations:**
After a simulation, node configurations are saved. You can rerun the same scenario with: After a simulation, node configurations are saved. You can rerun the same scenario with:
@ -105,7 +105,7 @@ python3 interactiveSim.py 3 -s
python3 interactiveSim.py --from-file python3 interactiveSim.py --from-file
``` ```
Modify the `_out/nodeConfig.yaml_` file to adjust configurations before reloading. Modify the _`out/nodeConfig.yaml`_ file to adjust configurations before reloading.
3. **Using the Python CLI:** 3. **Using the Python CLI:**
You can call functions from the Node class via `sim.getNodeById(<id>)` in _`interactiveSim.py`_. Example: You can call functions from the Node class via `sim.getNodeById(<id>)` in _`interactiveSim.py`_. Example:
@ -126,4 +126,4 @@ The simulator estimates signal propagation using a pathloss model. This is an ap
- **5**: 3GPP model (suburban macro-cell) - **5**: 3GPP model (suburban macro-cell)
- **6**: 3GPP model (metropolitan macro-cell) - **6**: 3GPP model (metropolitan macro-cell)
You can modify the pathloss model and area configuration in `_lib/config.py_`. LoRa settings remain at their Meshtastic defaults unless customized during node placement. You can modify the pathloss model and area configuration in _`lib/config.py`_. LoRa settings remain at their Meshtastic defaults unless customized during node placement.