Skip to main content

Get a project file structure to analyze it

Project description

Project Structure Generator

Overview

Project Structure Generator is a versatile tool available both as a command-line interface and as a library. It enables users to generate directory structures in JSON, YAML, or plain text formats and offers the ability to pretty-print the structure with color.

Features

  • Generate directory structures in JSON, YAML, Dictionary or plain text.
  • Exclude patterns specified in .gitignore.
  • Pretty-print the directory structure with colorful output.
  • Command-line interface for ease of use.
  • Ability to include content of specified files.
  • Customizable patterns for more precise control over the directory structure output.

Installation

To install the package, use the following command:

pip install pstruc

CLI Usage

The pstruc tool supports various arguments for generating and customizing the directory structure.

Arguments

  • directory: Specify the directory to inspect (not specified: current directory)
  • -f, --format: Choose the output format (json, yaml, txt, dict).
  • -o, --output: Specify the output file name.
  • -p, --print: Print the directory structure without saving it.
  • -ns, --not-save: Do not save the generated structure to an output file.
  • -ip, --add-ignore-patterns: Add custom patterns to ignore.
  • -iff, --ignore-from-files: List of files to get the ignore patterns from.
  • -igi, --ignore-git-ignore: Ignore the patterns inside .gitignore file.
  • -fc, --add-content-file-patterns: Include content of specified files.

Example

python pstruc.py /path/to/directory -f json -o output_structure -ip "*.log","__pycache__" -fc "*.md","*.txt"

This command will generate a JSON file output_structure.json representing the directory structure of /path/to/directory, ignoring files matching *.log and __pycache__, and including content of markdown and text files.

Library Usage

As a library, pstruc provides a straightforward API for generating and manipulating directory structures. The core functionality is based on generating the structure, saving it, and pretty-printing.

Example

from pstruc import get_project_structure, save_structure_to_file, pretty_print

# Generate directory structure
structure = get_project_structure('/path/to/directory', 'json', ignore_patterns=["*.log", "__pycache__"], file_content=["*.md", "*.txt"])

# Save to a file
save_structure_to_file('output_structure.json', structure)

# Pretty-print the structure
pretty_print(structure)

Library Available Methods

  • get_project_structure(start_path, output_format, ignore_patterns, file_content): Generates the directory structure.

    • start_path (str): The directory to inspect.
    • output_format (str): The desired output format ('json', 'yaml', 'txt', 'dict').
    • ignore_patterns (list): List of patterns to ignore.
    • file_content (list): List of patterns to determine which file content to include in the structure.
  • save_structure_to_file(output_file, structure): Saves the directory structure to a file.

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

    • structure (str or dict): The directory structure to print.
    • indentation (str): The current indentation level.
  • get_all_ignore_patterns(start_path, files_with_ignore_patterns, extra_ignore_patterns): Retrieves a combined list of ignore patterns from specified files and additional user-provided patterns.

    • start_path (str): The root directory path from where the search for ignore files begins.
    • files_with_ignore_patterns (list of str): Filenames from which to read ignore patterns (e.g., '.gitignore').
    • extra_ignore_patterns (list of str): Additional patterns provided by the user.

Contributing

Contributions are welcome! Please follow our Contributing Guidelines.

License

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

Acknowledgments

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pstruc-1.0.1.tar.gz (10.2 kB view details)

Uploaded Source

Built Distribution

pstruc-1.0.1-py3-none-any.whl (9.5 kB view details)

Uploaded Python 3

File details

Details for the file pstruc-1.0.1.tar.gz.

File metadata

  • Download URL: pstruc-1.0.1.tar.gz
  • Upload date:
  • Size: 10.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for pstruc-1.0.1.tar.gz
Algorithm Hash digest
SHA256 937712a71f4f6495fd3bc5b3d4baa652714572d2fef74c51c7ed6684b725b84c
MD5 46add6a70d2cb2565125e7cc8af2d971
BLAKE2b-256 c1a435d69cbde560922eec211a5ef5b6f4c5b114ba55383c2f25193dbe167b28

See more details on using hashes here.

File details

Details for the file pstruc-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: pstruc-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 9.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for pstruc-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 cdf084f4fec8fb5be80fc824a4da39227a9d7fa51b33e3c247128b9bd751e9c7
MD5 d007e8673e00ac81bf87420c8801cb38
BLAKE2b-256 7ea21c78cc5c4604c8ce6d67b070d88e5acd876fa08e44e76d6844e236aaa74d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page