autodpd 0.2.0

A Python package for automatically detecting project dependencies

AutoDPD (Automatic Dependency Detector)

AutoDPD is a Python tool that automatically analyzes Python projects to detect dependencies, determine required Python versions, and generate environment package list.

Features

🔍 Automatic Dependency Detection from:

• Python files (*.py)
• Jupyter notebooks (*.ipynb)
• Local imports
• Common package aliases (e.g., 'cv2' → 'opencv-python')

🔧 Environment Generation:

• environment.yml for conda
• requirements.txt for pip

Installation

pip install pyyaml requests packaging
pip install autodpd

Usage

Generate Dependencies:

autodpd

Analyze specific directory:

autodpd --d /path/to/your/project

Check the current version of autodpd:

autodpd --v

Include recommended version of dependencies:

autodpd --versions

Generate with a quiet output:

autodpd --q

Skip saving output files:

autodpd --no-save 

Follow steps below to creat the conda enviornment with suggested packages:

conda env create -f environment.yml
conda activate PROJECT_NAME
pip install -r requirements.txt

Generated Files & Tutorials

environment.yml:

name: project_name
channels:
  - defaults
  - conda-forge
dependencies:
  - python>=3.6
  - pip
  - pip:
    - matplotlib==3.4.3
    - numpy==1.21.2
    - pandas==1.3.3
    - scikit-learn==0.24.2
    - tensorflow==2.6.0

requirements.txt:

# Python >= 3.6
matplotlib==3.4.3
numpy==1.21.2
pandas==1.3.3
scikit-learn==0.24.2
tensorflow==2.6.0

(Optional) Python API

from autodpd import autodpd

# Initialize detector
detector = autodpd()

# Generate environment specifications
specs = detector.generate_environment(
    directory='path/to/project',
    include_versions=True
)

# Access results
python_version = specs['recommended_python_version']
dependencies = specs['dependencies']

Contributions

Contributions are welcome! Please feel free to submit a Pull Request.

License

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