cartalyzer 0.1.1

Fetch and analyze e-commerce cart data

Cartalyzer

Cartalyzer is a Python-based tool designed to streamline data ingestion, transformation, and synchronization for multi-source e-commerce datasets. It provides a flexible and extensible pipeline structure that enables developers to automate complex ETL (Extract, Transform, Load) operations with minimal setup.

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🧩 Project Purpose

The goal of Cartalyzer is to simplify and standardize how product data is processed across different vendors and platforms. It ensures:

• Consistent data formats across all sources
• Reliable handling of pipeline configuration and package data
• Easy integration into other Python or CLI-based workflows

This makes it ideal for developers working on data automation, analytics pipelines, or marketplace integrations.

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⚙️ Installation

You can install the package directly from PyPI:

pip install cartalyzer

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🚀 Usage Guide

Once installed, you can run the tool from your command line using the provided entry point:

cartalyzer

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🧠 Handling the Package Data (.cfg file)

Python packages often face a challenge when trying to access data files (like .cfg configuration files) included within the package — especially when installed via pip.

To solve this, Cartalyzer uses the importlib.resources module (introduced in Python 3.9+) for safely reading data files bundled within the package.

Example:

from importlib import resources

cfg_path = resources.files('pipeline').joinpath('pipeline.cfg')
with cfg_path.open("r") as f:
    config = configparser.ConfigParser()
    config.read_file(f)

This approach:

• Works both in development and after installation from PyPI.
• Avoids deprecated methods like pkg_resources and importlib.resources.open_text().
• Ensures compatibility with modern Python packaging standards.

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🧾 License

This project is licensed under the MIT License.