Comfy Gizmo Ignore List Generator

Current Selection

Add this to ignorePrefabNameList in the Comfy Gizmo config file.

Loading default pieces...


Current Selection

Add this to ignorePrefabNameList in the Comfy Gizmo config file.

Loading default pieces...



Instructions & Disclaimer

This tool is provided as-is. Use it at your own discretion. Intended for players or mod authors working with Valheim piece lists.

To generate the YML files needed for this tool, run the following devcommand within Valheim with the WackyDB mod installed:

wackydb_all_pieces

That will create many Piece_*.yml files into wackyDatabase-BulkYML/Pieces. Run the Python script below in that folder to generate a CSV for uploading here.

Show Python Script

import os
import csv
import yaml
from collections import defaultdict

def load_yaml_file(path):
    with open(path, "r", encoding="utf-8") as f:
        return yaml.safe_load(f)

def main():
    folder = os.getcwd()
    categories = defaultdict(list)
    for filename in os.listdir(folder):
        if filename.lower().endswith(".yml"):
            full_path = os.path.join(folder, filename)
            try:
                data = load_yaml_file(full_path)
                name = data.get("name")
                category = data.get("piecehammerCategory", "Uncategorized")
                if name:
                    categories[category].append(name)
            except Exception as e:
                print(f"Error reading {filename}: {e}")
    rows = []
    for category in sorted(categories.keys(), key=str.lower):
        for piece in sorted(categories[category], key=str.lower):
            rows.append({"category": category, "piece": piece})
    output_path = os.path.join(folder, "valPiecesByCategory.csv")
    with open(output_path, "w", newline="", encoding="utf-8") as csvfile:
        writer = csv.DictWriter(csvfile, fieldnames=["category", "piece"])
        writer.writeheader()
        writer.writerows(rows)
    print(f"CSV file created: {output_path}")

if __name__ == "__main__":
    main()