Metadata-Version: 2.4
Name: precice-case-generate
Version: 0.1.1
Summary: Generates File and Folder Structure, including all of the necessary files to quickly kickstart a simulation
Author-email: VanLaareN <vanlaren@example.com>, Toddelismyname <116207910+Toddelismyname@users.noreply.github.com>
License-Expression: MIT
Project-URL: Repository, https://github.com/precice-forschungsprojekt/precice-generator
Project-URL: Issues, https://github.com/precice-forschungsprojekt/precice-generator/issues
Project-URL: Documentation, https://github.com/precice-forschungsprojekt/precice-generator/blob/main/README.md
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: attrs>=25.3
Requires-Dist: jsonschema>=4.23
Requires-Dist: jsonschema-specifications>=2024.10
Requires-Dist: lxml>=5.3
Requires-Dist: ruamel_yaml
Requires-Dist: referencing>=0.36
Requires-Dist: rpds-py>=0.24
Requires-Dist: termcolor>=3
Requires-Dist: typing_extensions>=4.13
Dynamic: license-file

# precice-generator

![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/precice/case-generate/check.yml?label=Examples%20generation%20and%20validation%20using%20config-checker)

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## Project Overview

The preCICE case-generate package is a Python-based utility designed to automate the generation of preCICE configuration files from
simple YAML topology descriptions. This tool simplifies the process of setting up multi-physics simulations by transforming
user-defined YAML configurations into preCICE-compatible XML configuration files.

## Key Features

- Automated preCICE configuration generation
- YAML-based input parsing
- Flexible topology description support
- Comprehensive error logging and handling
- Simple command-line interface

## Installation

### Prerequisites

- Python 3.9 or
  higher ([workflow validated](https://github.com/precice/case-generate/actions/workflows/installation.yml)
  with 3.9, 3.10, 3.11 and 3.12)
- pip
- venv
- (preCICE library)

### Manual Installation

1. Clone the repository

```bash
git clone https://github.com/precice/case-generate.git
cd precice-generator
```

2. Create a virtual environment

```bash
# On Unix/macOS
python -m venv venv
source venv/bin/activate

# On Windows
python -m venv venv
.\venv\Scripts\activate
```

3. Install the project

```bash
# Upgrade pip and install build tools
python -m pip install --upgrade pip
pip install build

# Install the project in editable mode
pip install -e .
```

### Using Setup Scripts

#### Unix/macOS

```bash
./setup_scripts/install_dependencies.sh
```

#### Windows

```powershell
.\setup_scripts\install_dependencies.ps1
```

### Verifying Installation

- Test the CLI tool

```bash
precice-case-generate --help
```

## Usage

### Command-Line Interface

Generate a preCICE configuration file from a YAML topology called `topology.yaml`:

```bash
precice-case-generate
```

or pass a topology file via argument;

```bash
precice-case-generate -f path/to/your/topology.yaml
```

The `precice-case-generate` tool supports the following optional parameters:

- `-f, --input-file`: Path to the input topology.yaml file.
  - **Default**: `./topology.yaml`
  - **Description**: Specify a custom topology file for configuration generation.

- `-o, --output-path`: Destination path for the generated folder.
  - **Default**: `./_generated/`
  - **Description**: Choose a specific output location for generated files.

- `-v, --verbose`: Enable verbose logging.
  - **Default**: Disabled
  - **Description**: Provides detailed logging information during execution.

- `--validate-topology`: Validate the input topology.yaml against the preCICE topology schema.
  - **Default**: Enabled
  - **Description**: Ensures the topology file meets the required schema specifications.

Example usage:
```bash
precice-case-generate -f custom_topology.yaml -o /path/to/output -v
```

> [!NOTE]
> You should validate your files by running them through precice-tools and the
> preCICE [config-checker](https://github.com/precice/case-generate) to avoid errors.

### Configuration

1. Prepare a YAML topology file describing your multi-physics simulation setup.
2. Use the command-line interface to generate the preCICE configuration.
3. The tool will create the necessary configuration files in the `_generated/` directory.

## Creating Topology with MetaConfigurator

You can create a topology for your preCICE simulation using the online MetaConfigurator.
We provide a preloaded schema to help you get started:

1. Open the MetaConfigurator with the preloaded
   schema: [MetaConfigurator Link](https://metaconfigurator.github.io/meta-configurator/?schema=https://github.com/precice/case-generate/blob/main/schemas/topology-schema.json&settings=https://github.com/precice/case-generate/blob/main/templates/metaConfiguratorSettings.json)

2. Use the interactive interface to define your topology:
    - The preloaded schema provides a structured way to describe your simulation components
    - Add configuration details on the right side of the screen

3. Once complete, export your topology as a YAML file
    - Save the generated YAML file
    - Use this file with the `precice-generator` tool to create your preCICE configuration
    - Validate the generated preCICE config
      with [config-checker](https://github.com/precice/config-check)
    - Use `precice-config-checker` and/or `precice-tools check` to validate the generated preCICE config

### Benefits of Using MetaConfigurator

- Visual, user-friendly interface
- Real-time validation against our predefined schema
- Reduces manual configuration errors
- Simplifies topology creation process

## Example Configurations

### Normal Examples (0-5)

Our project provides a set of progressively complex example configurations to help you get started with preCICE
simulations:

- Located in `examples/0` through `examples/5`
- Designed for beginners and intermediate users
- Each example includes:
    - A `topology.yaml` file defining the simulation setup
    - A `precice-config.xml` file
    - Subdirectories for different simulation components
- Showcase simple, linear multi-physics scenarios
- Ideal for learning basic preCICE configuration concepts

### Expert Examples

For advanced users, we offer more sophisticated configuration examples:

- Located in `examples/expert`
- Contain more advanced usage of topology options but extend the according example with the same number
- Demonstrate advanced coupling strategies and intricate topology configurations
- Targeted at users with a better understanding of preCICE

> [!TIP]
> Start with normal examples (0-5) and progress to expert examples as you become more comfortable with preCICE
> configurations.

## Documentation

The template for our `topology.yaml` file can be found in the `schemas` folder.

Alongside it, you will find `README.md`, which explains the topology's parameters.

## Contributing

1. Fork the repository
2. Create a feature branch (`git checkout -b feature/new-feature`)
3. Commit your changes (`git commit -m 'Add new feature'`)
4. Push to the branch (`git push origin feature/new-feature`)
5. Open a Pull Request

## Troubleshooting

- Ensure all dependencies are correctly installed
- Verify the format of your input YAML file
- Check the generated logs for detailed error information

## Acknowledgements

This project was started with code from the [preCICE controller](https://github.com/precice/controller) repository.
The file `format_precice_config.py` was taken
from [preCICE pre-commit hook file](https://github.com/precice/precice-pre-commit-hooks/blob/main/format_precice_config/format_precice_config.py)
