SCA Dependencies Finder

Overview

The SCA Dependencies Finder is a Python-based tool designed to parse XML files, extract dependencies based on predefined filters, and categorize them. The extracted dependencies are saved in CSV format for further analysis.

Features

• Extracts dependencies from XML-based files (e.g., .wsdl, .xsd, .xml, etc.)
• Filters dependencies based on specific XML elements and attributes
• Categorizes dependencies into different types (MDS, HTTP, FILE, LOCAL, and CUSTOM)
• Supports custom filtering options
• Outputs extracted data as CSV files

Installation

Prerequisites

• Python 3.9+
• Install required dependencies using:

  pip install -r requirements.txt

Usage

To process a directory of XML files and extract dependencies, run:

python app.py

By default, the script will use the configured input and output directories specified in config.py.

Custom Arguments

You can specify custom input and output directories:

python app.py --input /path/to/xml/files --output /path/to/save/results

Configuration

The config.py file contains settings for:

• File Extensions: XML-based file types to process
• Elements & Attributes: XML tags and attributes used for dependency extraction
• Filters: Predefined filters for categorization (MDS, HTTP, FILE, etc.)
• Defaults: Input/output paths, file format, and logging settings

Output

The extracted dependencies are saved in CSV format with filenames structured as:

dependencies_<CATEGORY>_<TIMESTAMP>.csv

Each CSV file contains the following columns:

• file - The relative path of the source XML file
• element - The XML element containing the dependency
• attribute - The attribute in which the dependency is found
• path - The extracted dependency value

Logging

The script logs its progress and errors in the console. Log levels can be adjusted in config.py using:

logging.basicConfig(level=logging.INFO, format=DEFAULT.get("logging_format"))

License

This project is open-source and available under the MIT License.