A proof of concept for a Dungeons & Dragons (D&D, or DnD) fifth edition character build analyzer, developed as the final project for the Fall 2020 COMP 1405 Z course at Carleton University, Ottawa.
Currently supports minimal options, including 3 races with 2 subraces each, 1 class with 2 subclasses, and 13 weapons.
The aim of the program is to calculate a graph of average damage per level, simulating the growth of a player character from level 1 to 20 by prompting the user for decisions on features. Many details have been abstracted due to the game's complexity, but further extensions to the program would make it more accurate to real results.
Clone to local directory with git clone https://github.com/willKip/dnd_analyzer; run dnd_analysis.py. The program is operated on the command line, and outputs graphs in a separate window. The graph window must be closed in order to shut the program down properly.
All character and game data is stored as JSON files, read and modified by the Python script. Character JSON files hold example characters, and the data calculated with their parameters.
input1.txt has example input to update the character JSONs with build data.
The following example makes use of the given fake_gimli.json and frodo_froggins.json character data files to output a comparison graph.
Options:
1: Create Character
2: Load Character and Initialize Potential Damage
3: Load Character Damage Curve
4: Load and Compare two character damage curves
5: Exit Program
What will you do? > 4
First character.
Choose a character file to load. > fake_gimli.json
Second character.
Choose a character file to load. > frodo_froggins.json
Graph updated.
Options:
1: Create Character
...
Project makes use of the SimpleGraphics wrapper for the tkinter standard Python package.
Dungeons & Dragons belongs to Wizards of the Coast.