# Py Auto Structure
**Py Auto Structure** is a versatile tool designed to simplify the process of creating directory structures for your Python projects. It leverages YAML files to define project hierarchies and offers a convenient command-line interface for effortless structure creation.
## Features
- **Project Structure Definition:** Define and customize your project structure in a YAML file.
- **Command-Line Interface (CLI):** Create project directories with ease using simple commands.
- **Customization:** Tailor the project name and root folder during structure creation.
## Installation
```bash
pip install py-auto-structure
```
## Usage
### 1. Using it from the command line
Creating a project structure is as easy as running a command in your terminal. Use the following command, replacing **<project_name>** with the desired name:
```bash
py-structure -p <path_to_be_set> -n <project_name>
```
Options:
- -p, --path: Path where the parent directory of the project will be set.
- -n, --name: Specify the name of the project and it will be the root of the project.
- --set-yaml: Path to the YAML file containing the project structure definition. Default is an internal project_structure.yaml.
- --yaml: Returns the raw content of the default yaml in order to copy it.
By default, the script looks for the project structure definition in a file named project_structure.yaml in the current directory.
### 2. Using it as a module
You can also import it as a module and call the function project_build this way:
```python
from project_builder.project_builder import project_build
project_build(path=your_path, yaml_path=your_custom_yaml_path)
```
## Default YAML
Here is as simplified version (in order to improve readability) of the default .yaml used:
```yaml
project_structure:
- name: data
type: directory
content:
- name: raw
- name: notebooks
type: directory
- name: src
type: directory
content:
- name: __init__.py
type: file
- name: feature1
type: directory
- name: tests
type: directory
- name: docs
type: directory
- name: outputs
type: directory
- name: requirements.txt
type: file
- name: main.py
type: file
content:
>
def main():
print("Hello World!")
if __name__ == "__main__":
main()
```
You can customize the default passing your own .yaml path to the function but this would create the following structure:
```lua
MyProject/
|-- data/
| `-- raw/
|-- notebooks/
|-- src/
| |-- __init__.py
| `-- feature1/
|-- tests/
|-- docs/
|-- outputs/
|-- requirements.txt
|-- main.py
```
Make sure to follow this structure for the custom yaml:
```yaml
name: <dirname | filename>
type: <file | directory>
content: <list for directories | string for files>
```
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"description": "# Py Auto Structure\n\n**Py Auto Structure** is a versatile tool designed to simplify the process of creating directory structures for your Python projects. It leverages YAML files to define project hierarchies and offers a convenient command-line interface for effortless structure creation.\n\n## Features\n\n- **Project Structure Definition:** Define and customize your project structure in a YAML file.\n- **Command-Line Interface (CLI):** Create project directories with ease using simple commands.\n- **Customization:** Tailor the project name and root folder during structure creation.\n\n## Installation\n\n```bash\npip install py-auto-structure\n```\n\n## Usage\n\n### 1. Using it from the command line\nCreating a project structure is as easy as running a command in your terminal. Use the following command, replacing **<project_name>** with the desired name:\n\n```bash\npy-structure -p <path_to_be_set> -n <project_name>\n```\n\nOptions:\n- -p, --path: Path where the parent directory of the project will be set.\n- -n, --name: Specify the name of the project and it will be the root of the project.\n- --set-yaml: Path to the YAML file containing the project structure definition. Default is an internal project_structure.yaml.\n- --yaml: Returns the raw content of the default yaml in order to copy it.\n\nBy default, the script looks for the project structure definition in a file named project_structure.yaml in the current directory.\n\n### 2. Using it as a module\n\nYou can also import it as a module and call the function project_build this way:\n\n```python\nfrom project_builder.project_builder import project_build\n\nproject_build(path=your_path, yaml_path=your_custom_yaml_path)\n\n```\n\n## Default YAML\n\nHere is as simplified version (in order to improve readability) of the default .yaml used:\n\n```yaml\nproject_structure:\n - name: data\n type: directory\n content:\n - name: raw\n - name: notebooks\n type: directory\n - name: src\n type: directory\n content:\n - name: __init__.py\n type: file\n - name: feature1\n type: directory\n - name: tests\n type: directory\n - name: docs\n type: directory\n - name: outputs\n type: directory\n - name: requirements.txt\n type: file\n - name: main.py\n type: file\n content: \n >\n def main():\n print(\"Hello World!\")\n\n if __name__ == \"__main__\":\n main()\n```\n\nYou can customize the default passing your own .yaml path to the function but this would create the following structure:\n\n```lua\nMyProject/\n|-- data/\n| `-- raw/\n|-- notebooks/\n|-- src/\n| |-- __init__.py\n| `-- feature1/\n|-- tests/\n|-- docs/\n|-- outputs/\n|-- requirements.txt\n|-- main.py\n```\n\nMake sure to follow this structure for the custom yaml:\n\n```yaml\nname: <dirname | filename>\ntype: <file | directory>\ncontent: <list for directories | string for files>\n```\n",
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