mirror of
https://github.com/LibreTranslate/LibreTranslate.git
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128 lines
3.1 KiB
Markdown
128 lines
3.1 KiB
Markdown
# Contributing
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If you want to make changes to the code, you can build from source, and run the API.
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## Build Dependencies
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* cmake
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### Debian / Ubuntu
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```sh
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sudo apt-get install cmake
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```
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### Fedora / RHEL
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```sh
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sudo dnf install cmake
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```
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## Getting Started
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Install [`hatch`](https://hatch.pypa.io) to manage the projects dependencies and run dev scripts:
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```bash
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pipx install hatch
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```
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Clone the repository:
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```bash
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git clone https://github.com/LibreTranslate/LibreTranslate.git
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cd LibreTranslate
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```
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Run in development:
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```bash
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hatch run dev --debug
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```
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Then open a web browser to <http://localhost:5000>
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You can also start a new shell in a virtual environment with libretranslate installed:
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```bash
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hatch shell
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libretranslate [args]
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# Or
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python main.py [args]
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```
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> You can still use `pip install -e ".[test]"` directly if you don't want to use hatch.
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## Run the tests
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Run the test suite and linting checks:
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```bash
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hatch run test
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```
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To display all `print()` when debugging:
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```bash
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hatch run test -s
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```
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You can also run the tests on multiple python versions:
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```bash
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hatch run all:test
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```
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## Run with Docker
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Linux/macOS: `./run.sh [args]`
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Windows: `run.bat [args]`
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Then open a web browser to <http://localhost:5000>
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## Build with Docker
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```bash
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docker build -f docker/Dockerfile [--build-arg with_models=true] -t libretranslate .
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```
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If you want to run the Docker image in a complete offline environment, you need to add the `--build-arg with_models=true` parameter. Then the language models are downloaded during the build process of the image. Otherwise, these models get downloaded on the first run of the image/container.
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Run the built image:
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```bash
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docker run -it -p 5000:5000 libretranslate [args]
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```
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Or build and run using Docker Compose:
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```bash
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docker compose up -d --build
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```
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> Feel free to change the [`docker-compose.yml`](https://github.com/LibreTranslate/LibreTranslate/blob/main/docker-compose.yml) file to adapt it to your deployment needs, or use an extra `docker-compose.prod.yml` file for your deployment configuration.
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>
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> The models are stored inside the container under `/home/libretranslate/.local/share` and `/home/libretranslate/.local/cache`. Feel free to use volumes if you do not want to redownload the models when the container is destroyed. To update the models, use the `--update-models` argument.
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## FAQ
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### Externally Managed Environment
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Some users may encounter the following error while installing packages:
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```
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error: externally-managed-environment
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× This environment is externally managed
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╰─> To install Python packages system-wide, try apt install
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python3-xyz, where xyz is the package you are trying to
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install.
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…
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```
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This occurs when your operating system depends on and manages Python for core functionality. In this case, you should install and setup venv (virtual environments) to manage project dependencies.
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This prevents pip packages from being installed system-wide. This way, there are no risks of pip packages conflicting between multiple projects or the operating system.
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References:
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* [Python venv documentation](https://docs.python.org/library/venv.html)
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