https://github.com/samiahola/dcs-jupyter
Jupyter kernel for live connection to DCS (Digital Combat Simulator) scripting environment
https://github.com/samiahola/dcs-jupyter
dcs flight-simulation jupyter lua
Last synced: 7 months ago
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Jupyter kernel for live connection to DCS (Digital Combat Simulator) scripting environment
- Host: GitHub
- URL: https://github.com/samiahola/dcs-jupyter
- Owner: SamiAhola
- License: mit
- Created: 2025-07-17T09:06:25.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-08-15T06:07:31.000Z (8 months ago)
- Last Synced: 2025-09-04T10:57:18.541Z (7 months ago)
- Topics: dcs, flight-simulation, jupyter, lua
- Language: Jupyter Notebook
- Size: 586 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# DCS Jupyter
A [Jupyter](https://jupyter.org/) kernel for live connection to DCS (Digital Combat Simulator) scripting environment. Execute [Lua](https://www.lua.org/) code in Jupyter notebooks that communicates directly with a running DCS mission via UDP socket connection.
## Features
- Execute Lua code directly in DCS from Jupyter notebooks
- **Jupyter Magic Commands** (`%dcs` and `%%dcs`) for seamless integration with Python notebooks ([demo notebook](https://github.com/SamiAhola/dcs-jupyter/blob/main/example/notebook/test_magic.ipynb))
- **Standalone `DcsConnection` class** for use in Python scripts outside Jupyter
- Real-time communication with running DCS missions
- Support for both [Jupyter Console](https://jupyter-console.readthedocs.io/) and [JupyterLab](https://jupyterlab.readthedocs.io/)
- Easy installation and kernel management
- Cross-platform support (Windows, Linux, macOS)
## Installation
### Requirements
- Python 3.11 or higher
- [DCS World](https://www.digitalcombatsimulator.com/) (Digital Combat Simulator)
### Install Dependencies (Windows)
If you don't have Python and [pipx](https://pipx.pypa.io/) installed:
1. **Install Python:**
- Download Python 3.11+ from [python.org](https://www.python.org/downloads/)
- During installation, check "Add Python to PATH"
- Verify installation in Command Prompt: `python --version`
2. **Install pipx:**
Open Command Prompt and run:
```cmd
python -m pip install --user pipx
python -m pipx ensurepath
```
- Restart Command Prompt after installation
- Verify installation: `pipx --version`
### Install Package
```bash
# Basic installation
pipx install dcs-jupyter
# With JupyterLab and extras (vim bindings, rich output, Dracula theme)
pipx install "dcs-jupyter[lab]"
```
Also available via [`pip`](https://pip.pypa.io/) or [`uv`](https://docs.astral.sh/uv/) package managers.
## Basic Setup (Windows)
### 1. Patch DCS
In `dcs_install_dir/Scripts/MissionScripting.lua`, find this section (around line 16):
```lua
do
sanitizeModule('os')
sanitizeModule('io')
sanitizeModule('lfs')
_G['require'] = nil
_G['loadlib'] = nil
_G['package'] = nil
end
```
**Add this code BEFORE the above `do` block:**
```lua
-- Initialize DCS Jupyter before security restrictions
if not _G['dcs_jupyter_udp'] then
package.path = package.path..";.\\LuaSocket\\?.lua"
package.cpath = package.cpath..";.\\LuaSocket\\?.dll"
local socket = require("socket")
local udp = assert(socket.udp())
assert(udp:settimeout(0))
assert(udp:setsockname("127.0.0.1", 8042))
_G['dcs_jupyter_udp'] = udp
-- Pre-store DCS user directory for script loading
local lfs = require("lfs")
_G['dcs_jupyter_user_dir'] = lfs.writedir()
end
```
**Leave the original `do` block unchanged.** This maintains DCS security while enabling the kernel connection.
### 2. Install DCS Plugin
**Simple method** (recommended for most users):
1. Download the [`jupyter_kernel_connection.lua`](https://raw.githubusercontent.com/SamiAhola/dcs-jupyter/main/dcs_plugin/jupyter_kernel_connection.lua) file
2. Open Mission Editor → Triggers → New Trigger
3. Set Event: Mission Start, Action: Do Script
4. Copy the entire file contents into the text box
That's it! Your mission now has Jupyter support.
🔧 Alternative installation methods (click to expand)
**Method B: Do Script File action**
- Place `jupyter_kernel_connection.lua` anywhere
- Mission Editor → Triggers → New Trigger → Do Script File
- Select the script file
- *Note: File is saved internally to mission*
**Method C: Dynamic loading (advanced)**
- Place script in your DCS user directory (under 'Saved Games')
- Use: `assert(loadfile(_G['dcs_jupyter_user_dir'] .. "/Scripts/jupyter_kernel_connection.lua"))()`
- *Advantage: Reloads script on every mission restart*
### 3. Configure Network Settings
The kernel uses localhost (`127.0.0.1:8042`) by default, which works for native Windows installations.
## Usage
### Quick Start with Console
```bash
dcs-jupyter-console
```
Automatically installs the DCS kernel if needed and starts Jupyter Console with DCS Lua kernel.
### Start with JupyterLab
```bash
dcs-jupyter-lab
```
Automatically installs the DCS kernel if needed and starts JupyterLab.
## Examples
### Download Example Notebooks
Get started with these example notebooks:
- **Jupyter Magic Commands Demo** - Using `%dcs` and `%%dcs` magic in Python notebooks
- [Download](https://raw.githubusercontent.com/SamiAhola/dcs-jupyter/main/example/notebook/test_magic.ipynb) | [View with outputs](https://github.com/SamiAhola/dcs-jupyter/blob/main/example/notebook/test_magic.ipynb)
- **Airport Terrain Demo** - Explore DCS terrain and airfield data
- [Download](https://raw.githubusercontent.com/SamiAhola/dcs-jupyter/main/example/notebook/airport_terrain_demo.ipynb) | [View with outputs](https://github.com/SamiAhola/dcs-jupyter/blob/main/example/notebook/airport_terrain_demo.ipynb)
- **Vehicle Control** - Control units and vehicles in DCS
- [Download](https://raw.githubusercontent.com/SamiAhola/dcs-jupyter/main/example/notebook/vehicle_control.ipynb) | [View with outputs](https://github.com/SamiAhola/dcs-jupyter/blob/main/example/notebook/vehicle_control.ipynb)
*Right-click "Download" links and select "Save link as..." to save to your computer.*
### Basic Usage
#### Python Notebook Usage
Load the magic extension in your Python notebook:
```python
%load_ext dcs_jupyter.magic
# or to reload: %reload_ext dcs_jupyter.magic
```
Then use magic commands to execute Lua code in DCS:
```python
# Single line magic command
%dcs trigger.action.outText("Hello from magic command!", 5)
# Multi-line magic command
%%dcs
local currentTime = timer.getTime()
trigger.action.outText("Mission time: " .. math.floor(currentTime) .. " seconds", 5)
```
#### DCS Lua Kernel Usage
When using the DCS Lua kernel directly, execute Lua code:
```lua
-- Display message in DCS (visible in game)
trigger.action.outText("Hello from DCS Jupyter!", 10)
-- Get current mission time and display it
local currentTime = timer.getTime()
trigger.action.outText("Mission time: " .. math.floor(currentTime) .. " seconds", 5)
-- Create smoke at a specific location
local smokePos = {x = 0, y = 0, z = 0} -- Adjust coordinates as needed
trigger.action.smoke(smokePos, trigger.smokeColor.Red)
-- Get all red coalition groups
local redGroups = coalition.getGroups(coalition.side.RED)
trigger.action.outText("Red coalition has " .. #redGroups .. " groups", 8)
```
Return current mission time:
```lua
return timer.getTime()
```
Get structured data for analysis:
```lua
-- Get all airfields with their properties
local airfields = {}
for coalition_id = 0, 2 do
local airfield_list = coalition.getAirbases(coalition_id)
for _, airfield in pairs(airfield_list) do
airfields[#airfields + 1] = {
name = airfield:getName(),
coalition = coalition_id,
position = airfield:getPosition().p,
category = airfield:getDesc().category
}
end
end
return net.lua2json(airfields)
```
## Configuration
**Default settings:** `127.0.0.1:8042`, 10 second timeout. See Advanced Setup for customization.
## Troubleshooting
### Connection Issues
- Ensure DCS is running with the Lua plugin loaded
- Check firewall settings allow UDP traffic on port 8042
- Verify IP address is correct (127.0.0.1 for Windows, host IP for WSL2)
### Kernel Not Found
If the kernel isn't recognized:
```bash
# Reinstall kernel
jupyter kernelspec uninstall dcs-lua
dcs-jupyter-console # Will reinstall automatically
```
### WSL2 Connection Problems
- WSL2 users need to modify IP addresses manually (see Advanced Setup)
- Use Windows host IP address instead of localhost
- Consider using native Windows installation for simpler setup
## Advanced Setup
### WSL2 Users
The default localhost configuration should work for most WSL2 setups, especially with mirrored networking mode (WSL2 default in newer versions). If you experience connection issues, you may need to use your WSL2 IP address:
1. **Find your WSL2 IP address:** `ip addr` - look for the `inet` address on your main interface (usually `eth0`)
- **Note:** This is primarily for mirrored networking mode. In older NAT mode, the networking setup may differ.
2. **Edit IP in the patching code:** Replace `127.0.0.1` with your WSL2 IP address in the MissionScripting.lua patch above
3. **Edit IP in kernel:** `src/dcs_jupyter/kernel.py`: `SOCKET_ADDR = 'YOUR_WSL2_IP'`
4. **Configure Windows Firewall** for UDP port 8042 (might be needed)
### Manual Kernel Installation
```bash
# Install kernel manually
jupyter kernelspec install kernel_spec/dcs-lua --user
# List installed kernels
jupyter kernelspec list
# Start Jupyter with DCS kernel
jupyter console --kernel=dcs-lua
```
### Custom IP/Port Configuration
Edit `SOCKET_ADDR` and `PORT` constants in both `src/dcs_jupyter/kernel.py` and `dcs_plugin/jupyter_kernel_connection.lua` with identical values.
## License
MIT License - see LICENSE file for details.
## Support
For issues and questions:
- Check the troubleshooting section above
- Open an issue on GitHub with detailed information about your problem