Metadata-Version: 2.4
Name: obs_switch
Version: 0.0.41
Summary: OBS Studio and Nintendo Switch controller integration via Kafka
Home-page: https://github.com/Splatoon-Stronghold/obs-switch
Author: Jason Jiménez Cruz
Author-email: jasonjimenezcruz@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: confluent-kafka>=2.0.0
Requires-Dist: python-dotenv==1.1.1
Requires-Dist: websocket-client==1.7.0
Requires-Dist: python-engineio==4.5.1
Requires-Dist: python-socketio==5.8.0
Requires-Dist: simple-websocket==1.1.0
Requires-Dist: argparse>=1.4.0
Requires-Dist: typing-extensions>=4.0.0
Requires-Dist: requests==2.32.4
Requires-Dist: duckdb==1.3.2
Requires-Dist: pandas==2.3.2
Requires-Dist: pytesseract==0.3.13
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# OBS Switch Controller Integration

This project integrates OBS Studio with Nintendo Switch controller inputs via Kafka messaging. It allows for automated control of both OBS scenes/recording and Nintendo Switch controller inputs based on events received through Kafka.

## Components

- **OBS Controller**: Connects to OBS Studio via WebSocket protocol to control scenes and recording.
- **Switch Controller**: Connects to NXBT webapp to send controller inputs to Nintendo Switch.
- **Kafka Integration**: Uses Kafka to receive events that trigger actions on either OBS or Switch controller.
- **Runner**: Coordinates between all components, listening for Kafka messages and executing appropriate actions.

## Requirements

- Python 3.8+
- OBS Studio with WebSocket plugin (v4.9.0+)
- NXBT webapp running (for Nintendo Switch controller emulation)
- Kafka server running

## Installation

### From Source

1. Clone the repository
2. Install the package in development mode:

```bash
pip install -e .
```

### Using pip

```bash
pip install obs-switch
```

## Usage

### Running the Integration

Start the runner with default settings:

```bash
obs-switch
```

Or customize the connection parameters:

```bash
obs-switch --obs-host localhost --obs-port 4455 --switch-url http://localhost:8000 --kafka-topics spl_replay_service
```

### Running from Source

If you've installed the package in development mode, you can also run it directly:

```bash
python -m obs_switch.cli
```

### Kafka Message Format

The runner listens for Kafka messages in the following formats:

#### Change OBS Scene

```json
{
  "event_type": "obs_scene_change",
  "scene_name": "Scene Name"
}
```

#### Control OBS Recording

```json
{
  "event_type": "obs_recording",
  "action": "start|stop|toggle"
}
```

#### Press Switch Buttons

```json
{
  "event_type": "switch_button",
  "buttons": ["A", "B", "X", "Y"],
  "delay": 0.1
}
```

#### Move Switch Stick

```json
{
  "event_type": "switch_stick",
  "stick": "L_STICK",
  "x_value": 100,
  "y_value": 0,
  "delay": 0.1
}
```

#### Enter Replay Code

```json
{
  "event_type": "switch_replay_code",
  "code": "1234-5678-9012"
}
```

## Architecture

The system uses a modular architecture with the following components:

1. **OBS Controller** (`obs_controller.py`): Handles communication with OBS Studio via WebSocket.
2. **Switch Controller** (`switch_controller.py`): Manages Nintendo Switch controller inputs via NXBT.
3. **Kafka Consumer** (`async_consumer.py`): Listens for events from Kafka topics.
4. **Switch Handler** (`switch_handler.py`): Processes complex Switch input sequences like replay codes.
5. **Runner** (`runner.py`): Coordinates all components and processes incoming Kafka messages.
6. **Macros** (`obs_switch.macros`): Provides a set of helper functions for fixed in-game actions.
7. **Actions** (`obs_switch.actions`): Provides a set of helper functions for complex actions that involves OBS and Switch.

## Development

### PyTesseract

Tesseract is used for OCR (Optical Character Recognition) to extract text from images,
will be used to extract information from OBS screenshots.

Ensure that you have the `tesseract` executable in your PATH.

Tesseract docs: [https://tesseract-ocr.github.io/tessdoc/Installation.html](https://tesseract-ocr.github.io/tessdoc/Installation.html)

PyTesseract docs: [https://pypi.org/project/pytesseract/](https://pypi.org/project/pytesseract/)


### REPL-Command based Development

`ControlNotebook.ipynb` and `HandlerPlaybook.ipynb` contain Jupyter notebooks 
that can be used to test and debug the integration without using Kafka.

### Adding New Event Types

To add support for new event types:

1. Modify the `_process_kafka_message` method in `runner.py`
2. Add a new condition for your event type
3. Implement the corresponding action logic

### Extending Controller Functionality

To add new controller actions:

1. Implement the new functionality in the appropriate controller class
2. Update the runner to expose the new functionality via Kafka messages

## Troubleshooting

- Ensure OBS Studio is running with the WebSocket plugin enabled
- Verify the NXBT webapp is running and accessible
- Check that Kafka server is running and the topics exist
- Review logs for connection errors or message processing issues

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
