Log Data Transformation modules

These modules are just for transforming and restructuring log data in two stages.

Modules

CSV to JSON Conversion Module

• Functionality: Converts log data from CSV files into JSON, handling nested JSON structures within the CSV data.
• Usage: Set the csv_file_path and output_json_file variables to your input CSV file and output JSON file paths. Run the script to process and convert the CSV data into JSON format.

Nested JSON Logs Transformation Module

• Functionality: Processes nested JSON structures within log entries from JSON files and transforms them into a more readable JSON format.
• Usage: Set the input_json_file and output_json_file variables to your input and output JSON file paths. Run the script to transform the nested JSON data.

Requirements

• Python 3.x
• Pandas library
• JSON library (included in the standard Python library)

Installation

Ensure Python 3.x is installed on your system and install Pandas using pip: pip install pandas

Examples

• CSV to JSON Module: Processes CSV file containing log data, extracting and transforming JSON structures from specified columns, saving the output as a JSON file.
• Nested JSON Module: Takes an input JSON file with nested log entries, processes each entry, and writes the output to a specified JSON file.

Contributing

Welcome contributions to enhance the application, whether it's improving existing modules or adding new functionalities. Fork this repository and submit pull requests for any proposed changes.

License

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