chaosExtractor 1.0.5

Multi-package

Chaos Worshiper

The chaosWorshiper Python class is a utility for generating JSON metadata files from input files. It processes files in the input folder, generates MD5 hashes, determines chaos-based attributes, and saves the results in the output folder as JSON files.

Features

• Download Files: Download files from a URL and save them to the input folder.
• Generate MD5 Hashes: Calculate MD5 hashes for all files in the input folder.
• Chaos Ritual: Generate chaos-based attributes and stats from MD5 hashes.
• Save JSON Data: Save the generated metadata to the output folder.
• Automated Workflow: Use magic_function to process all files in the input folder and generate corresponding JSON files.

Installation

pip install chaosExtractor

How to Use

1. Initialize the Class

Create an instance of the chaosWorshiper class:

from chaosExtractor import chaosWorshiper

chaos = chaosWorshiper()

2. Download Files

Download a file from a URL and save it to the input folder:

chaos.download_file('https://example.com/file.txt')

3. Generate MD5 Hashes

Generate MD5 hashes for all files in the input folder:

hashes = chaos.generate_md5_hashes()
print(hashes)

4. Perform Chaos Ritual

Run the chaos ritual on an MD5 hash to generate stats and metadata:

md5_data = chaos.chaosRitual('aabbccddeeff00112233445566778899')
print(md5_data)

5. Save JSON Metadata

Save the chaos metadata to the output folder:

chaos.save_chaos_json(
    md5_data=md5_data,
    token_id=425,
    name="Chaos token",
    description="Chaos enriched token",
    image_name="425.png",
    custom_attributes={"Origin": "Shadow Realm", "Chaos Rating": 100}
)

6. Automate the Workflow

Use summon_chaos to process all files in the input folder and generate corresponding JSON files in the output folder:

chaos.summon_chaos()

Folder Structure

• input: Place your input files here, or use download_file to populate this folder.
• output: The generated JSON metadata files will be saved here.

Notes

• Ensure the input folder exists and contains files before running magic_function.
• The JSON output structure can be customized further if needed by modifying the save_chaos_json method.

License

This project is licensed under the MIT License. See the LICENSE file for details.