lukiffer/executive_report_generator

Stellar Cyber Executive Report Generator App

This is a Python Streamlit app using the Stellar Cyber Public API to generate executive reports from Stellar Cyber.

Getting Started

1. Clone the repository: git clone https://github.com/stellarcyber/executive_report_generator.git
2. Go to the cloned directory: cd executive_report_generator
3. Install the dependencies: pip install -r requirements.txt or pip3 install -r requirements.txt
4. Run the app: streamlit run app.py
   It should open a tab in your browser. (Tested in Chrome)
5. To stop the app: CTRL-C

Note

To make sure you can run streamlit, make sure your python bin directory is added to your PATH. Alternatively you can use the absolute path to streamlit to run it. Tested with Python 3.10+

Project Structure

• app.py: This file is the entry point of the Streamlit application. It sets up the user interface and the functionality of the app.
• report_pages.py This file contains functions for displaying Stellar Cyber report sections with streamlit.
• stellar_api.py This file is used for authenticating and making requests to the Stellar Cyber Public API.
• stellar_plots.py This file is used for generating the charts/plots used in the pdf report.
• stellar_stats.py This file collects all the stats used in the report into a class called StellarCyberStats.
• stats This directory contains several python files for collecting Stellar Cyber stats used in the report.
• requirements.txt: This file lists the dependencies required for the project. It is used by pip to install the dependencies.
• README.md: This file contains the documentation for the project. It provides information on how to set up and run the Streamlit app.

Usage

1. Run the app: streamlit run app.py
2. Follow the instructions on the app to use it.
3. To stop the app: CTRL-C

Customization

The report_template directory contains:

• report-cover.jpg -- image file used for the report cover. Replace this file with your own image/logo to customize the cover page of the report pdf.
• report.html.template -- HTML template file for the report. Copy/paste into a new .template file in the report_template directory to customize the generated report or to add new sections with your own data. Variables are rendered using the get_report_html() function in report.py.