Skip to main content

Modularny konwerter formatów pakietów Python

Project description

Spectomate

Spectomate is a tool for converting projects between different Python package management formats (pip, conda, poetry).

Key Features of Spectomate:

  1. Modular architecture - each converter is a separate module implementing a common interface
  2. Support for existing tools - ability to integrate with external conversion tools
  3. Flexible extension system - easy addition of new converters without modifying the base code
  4. Comprehensive format support:
    • pip (requirements.txt)
    • conda (environment.yml)
    • poetry (pyproject.toml)

Installation

# Basic installation
pip install spectomate

How to Use Spectomate:

Command Line Interface (CLI)

# Display available converters
spectomate --list

# Convert from pip to conda
spectomate -s pip -t conda -i requirements.txt -o environment.yml --env-name myproject

# Convert from conda to pip
spectomate -s conda -t pip -i environment.yml -o requirements.txt

# Convert from pip to poetry
spectomate -s pip -t poetry -i requirements.txt -o pyproject.toml --project-name "my-project" --version "0.1.0"

Programmatic Usage

from spectomate.converters.pip_to_conda import PipToCondaConverter

# Convert from pip to conda
converter = PipToCondaConverter(
    source_file="requirements.txt",
    target_file="environment.yml",
    options={"env_name": "myproject"}
)
result_path = converter.execute()
print(f"Output file: {result_path}")

Project Structure

spectomate/
├── __init__.py                  # Package initialization
├── cli.py                       # Command line interface
├── core/                        # Core components
│   ├── __init__.py
│   ├── base_converter.py        # Base class for converters
│   ├── registry.py              # Converter registration system
│   └── utils.py                 # Helper functions
├── converters/                  # Converter implementations
│   ├── __init__.py
│   ├── conda_to_pip.py          # Converter from conda to pip
│   ├── pip_to_conda.py          # Converter from pip to conda
│   ├── pip_to_poetry.py         # Converter from pip to poetry
│   └── ...
└── schemas/                     # Data schemas for formats
    ├── __init__.py
    ├── conda_schema.py          # Schema for conda format
    ├── pip_schema.py            # Schema for pip format
    ├── poetry_schema.py         # Schema for poetry format
    └── ...

Documentation

Detailed documentation is available in the docs/ directory:

  • Architecture - description of the system architecture
  • Converters - description of available converters and their implementation
  • Schemas - description of data schemas for different formats

Diagrams

Visual documentation in the form of Mermaid diagrams:

Note: Polish documentation is available in the docs/pl/ directory.

Extending Spectomate

Spectomate is designed as a modular system that can be easily extended with new formats and converters. To add a new converter:

  1. Create a new converter class inheriting from BaseConverter
  2. Implement the required abstract methods:
    • get_source_format() - returns the source format identifier
    • get_target_format() - returns the target format identifier
    • read_source() - reads the source file
    • convert() - converts the data
    • write_target() - writes the data to the target file
  3. Register the converter using the @register_converter decorator

Detailed information on creating custom converters can be found in the converters documentation.

License

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

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

spectomate-0.1.29.tar.gz (17.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

spectomate-0.1.29-py3-none-any.whl (15.5 kB view details)

Uploaded Python 3

File details

Details for the file spectomate-0.1.29.tar.gz.

File metadata

  • Download URL: spectomate-0.1.29.tar.gz
  • Upload date:
  • Size: 17.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for spectomate-0.1.29.tar.gz
Algorithm Hash digest
SHA256 abaee3ce5ffc1e246c9b134cc1d2ac10a81edca745924f175f8c4cddc79e4fe3
MD5 e4c1184cdaef5d305ab31cb13b17efaf
BLAKE2b-256 322510fef9fbeb62a0d7ac068e0af0466ff42f7615a17ea7edaed8add5aae157

See more details on using hashes here.

File details

Details for the file spectomate-0.1.29-py3-none-any.whl.

File metadata

  • Download URL: spectomate-0.1.29-py3-none-any.whl
  • Upload date:
  • Size: 15.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for spectomate-0.1.29-py3-none-any.whl
Algorithm Hash digest
SHA256 2039e1dba3a52ace49d80d24197c31e6941cb09cb55c6eb578c107b0b93d91f3
MD5 34c0f5bfdbd42ac714957fa22bf05b7a
BLAKE2b-256 dfc27909fdb4f4d2bd181b3df3873c078638102d19105db9314f7e2dd4bdb3a8

See more details on using hashes here.

Supported by

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