pstruc 0.1.4

Get a project file structure to analyze it

📂 Project Structure Generator

Overview

A library and command-line tool for getting directory structures in different formats. This tool allows you to inspect a directory and create a structured representation of its contents in JSON, YAML, or plain text. You can also pretty-print the structure with colorful output.

Features

✅ Generate directory structures in JSON, YAML, or plain text formats.

📝 Read patterns from a .gitignore file to exclude specific files or directories.

🎨 Pretty-print the directory structure with colorful output.

📦 Easily configurable and customizable.

Installation

(still not installable 🫠) To install the package, you can use pip:

pip install pstruc

CLI Usage

Basic Usage

Generate a directory structure and save it to a YAML file:

python pstruc.py /path/to/directory -f yaml -o output_structure

Pretty-print the directory structure:

python pstruc.py /path/to/directory -p

Advanced Usage

Use the .gitignore file to specify patterns to exclude:

# .gitignore
# Exclude virtual environment, cache, and log files
.env
__pycache__
*.log

Exclude patterns specified in .gitignore when generating the structure:

python pstruc.py /path/to/directory -f json

For more options and details, run:

python pstruc.py --help

Example

Suppose you have the following directory structure:

my_project/
├── documents/
│ ├── report.txt
│ ├── proposal.docx
│ └── presentation.pptx
├── source_code/
│ ├── main.py
│ ├── utils/
│ │ ├── helper.py
│ │ └── constants.py
│ └── tests/
│ ├── test_main.py
│ └── test_utils.py
└── README.md

Running the following command:

python pstruc.py my_project -f json

Will generate a JSON representation of the directory structure.

{
  "my_project": {
    "documents": {
      "report.txt": null,
      "proposal.docx": null,
      "presentation.pptx": null
    },
    "source_code": {
      "main.py": null,
      "utils": {
        "helper.py": null,
        "constants.py": null
      },
      "tests": {
        "test_main.py": null,
        "test_utils.py": null
      }
    },
    "README.md": null
  }
}

📚 Library Usage

In addition to being a command-line tool, pstruc can also be used as a library in your own Python projects. This allows you to integrate directory structure generation and manipulation directly into your scripts or applications.

🛠️ Available Functions

The pstruc library offers the following key functions for use in your projects:

🔍 get_project_structure

Generates a directory structure for a specified directory.

Parameters:

• start_path (str): The directory to inspect.
• output_format (str): The desired output format ('json', 'yaml', or 'txt').

Returns:

• str: The directory structure in the specified format.

Example:

from pstruc import get_project_structure

structure = get_project_structure('/path/to/directory', 'json')
print(structure)

💾 save_structure_to_file

Saves the directory structure to a file.

Parameters:

• output_file (str): The name of the output file.
• structure (str): The directory structure content to be saved.

Returns:

• None or str: An error message if an error occurs; otherwise, None.

Example:

from pstruc import save_structure_to_file

error = save_structure_to_file('output.json', structure)
if error:
    print(f"Error saving file: {error}")

🎨 pretty_print

Pretty-prints a directory structure.

Parameters:

• structure (str or dict): The directory structure to print.
• indentation (str): The current indentation level.

Example:

from pstruc import pretty_print

pretty_print(structure)

⚙️ Advanced Integration

You can integrate these functions into your Python applications to dynamically generate, save, and display directory structures. This is particularly useful for building tools that require a clear understanding of project layouts or for automating documentation tasks.

Documentation

For detailed documentation and examples, please refer to the Wiki.

Contributing

Contributions are welcome! If you want to contribute to this project, please follow the Contributing Guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• colorama - For colorful output.

Contact

👤 Ignacio Rigoni

• GitHub: https://github.com/nachokhan
• Email: [e-mail]

Support

If you encounter any issues or have questions, please open an issue.

Roadmap

See the open issues for a list of proposed features and known issues.

Changelog

See the CHANGELOG for a list of changes in each version of the project.

Credits

• Icons by FontAwesome