E-Commerce Data Generator

Overview

This project provides a script utilizing the LangChain framework to parse, understand, and enrich e-commerce product data from various formats (CSV, XLSX, XML) and output the enriched data in a structured JSON format. The goal is to facilitate the creation of a well-organized, structured database suitable for e-commerce systems.

Features

• Data Parsing: Read data from multiple formats, including CSV, XLSX, and XML files.
• Data Enrichment: Utilize LangChain and OpenAI for natural language understanding to enrich product descriptions.
• Structured Output: Generate structured JSON output that mirrors a proposed database schema for e-commerce platforms.
• Scalability: Designed to handle different data sizes and formats, ensuring the script is adaptable for various e-commerce data sets.
• Error Handling: Implements robust error handling to manage common anomalies found in unstructured data files.

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.8 or higher
• pandas
• openpyxl (for processing .xlsx files)
• An OpenAI API key for utilizing LangChain and OpenAI services.

Installation

1. Clone the Repository

   git clone https://your-repository-link.git
   cd your-repository-directory

2. Set Up a Virtual Environment (Optional but recommended)

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install Dependencies

   pip install pandas openpyxl langchain-openai

4. Configure OpenAI API Key

   Set your OpenAI API key as an environment variable:

   export OPENAI_API_KEY='your_api_key_here'  # On Windows use `set` instead of `export`

Usage

To use the script, follow these instructions:

1. Prepare Your Data Files

   Place your CSV, XLSX, and XML files within the ./CSV directory of the project.

2. Run the Script

   python3 apx.py

   This will process all supported files in the ./CSV directory, enrich the data, and output corresponding JSON files in the same directory.

Output Format

The script outputs JSON files with enriched data. The structure is tailored to fit an e-commerce platform's requirements, including detailed product information and metadata. Here's a sample of the JSON structure:

{
  "imports": {
    "EAN": "4049441018409",
    "rrp": "499.99",
    ...
  },
  "mp_partner": {
    "id": 736,
    ...
  },
  ...
}

Contributing

Contributions to this project are welcome. Please follow the conventional commit messages and ensure your code adheres to the project's coding standards.

License

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

Contact

If you have any questions or feedback, please contact the project maintainers

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Note: You'll need to replace placeholders like https://your-repository-link.git, your-repository-directory, and your_api_key_here with actual values relevant to your project.