Metadata_Extractor

Extracts metadata from dataset files like .csv, .xlsx, and more.

Setup

1. Clone the repository:

   git clone https://github.com/jraa1995/Metadata_Extractor```
   

2. Make sure to set up venv (Virtual Env)

   1. python -m venv venv
   2. venv\Scripts\Activate

3. Install dependencies (requirements.txt):

   pip install -r requirements.txt

4. Run the MCP Pipeline

   python src/main.py data/YOUR_CSV_OR_DATAFILE_NAME.type

Structure

• Modularity - Separates concerns (CLI, logic, utils) for easier maintenance
• Testing - Dedicateed 'tests/' folder for validation
• Scalability - Ready for adding new features such as web app in 'src/web/'..
• Organization - keeps data, logs, and code separate

Let me know if you'd like to tweak this further or add sample files to data/ for testing!