Scripts for analyzing Invasion balancing by layer or level. Requires custom JSON match log with objects containing winner & loser team # (1/2), level, and layer (in display form).
Special thanks to @midwaey for providing match logs, and @ChristianBrinkley for consulation!
Download all source files and place all into a folder accesible to preffered editor.
Open up LayerScript.py or LevelScript.py in editor. Configure file path of match log JSON and run.
JSON 'DBLog_Games_2023_10_08.json' is an example of a suitable match log JSON. It contains match data from March 1st, 2023 to October 8th, 2023.
Creates duplicate of invasionlayers.csv, invasionlevels.csv, or invasionlayersSE.csv with appended fields for # attack wins, # defense wins, attack win %, defend win %, and # of matches.
LayerScript.py duplicates invasionlayers.csv, LevelScript.py duplicates invasionlevels.csv
LevelScript requires BOTH invasionlayers.csv and invasionlevels.csv to function. LayerScript requires only invasionlayers.csv
LayerScript.py can also be used to analyze Squad Enhanced layer statistics, by simply configuring original_file_path to invasionlayersSE.csv
Filters in the Game class can be used in the filter block to filter for specific matches. Premade filters include afk/empty server and game version(preV5, V5, or postV6).
preV5, V5, and postV6 filters need to be configured once on a match log by match log basis for which match ID marks the first game of the updates V5 and V6.
-create filters for faction (i.e. filter all layers for faction United States Army on team 1)
-add terminal args for configuring input JSON name/file path and output CSV's name/file path, filters, and fields
-add interopability with default squadJS match logs
-squadJS match logs would allow for average match time analysis