🗎 Float to Log Entry

Documentation

• Class name: Float to Log Entry [Dream]
• Category: ✨ Dream/🛠 utils
• Output node: False

The Float to Log Entry node is designed to convert floating-point numbers into log entries, facilitating the tracking and logging of numerical data within a system. It encapsulates the process of transforming a float value into a structured log format, making it easier to document and review numerical changes or states.

Input types

Required

• value
  • Represents the floating-point number to be logged. Its inclusion is crucial for defining the numerical data that will be transformed into a log entry.
  • Comfy dtype: FLOAT
  • Python dtype: float
• label
  • An optional label to prepend to the logged value, providing context or categorization for the numerical data being logged.
  • Comfy dtype: STRING
  • Python dtype: str

Output types

• log_entry
  • Comfy dtype: LOG_ENTRY
  • The output is a structured log entry that encapsulates the provided floating-point value, optionally prefixed with a label, in a format suitable for logging and tracking.
  • Python dtype: LogEntry

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class DreamFloatToLog:
    NODE_NAME = "Float to Log Entry"
    ICON = "🗎"
    CATEGORY = NodeCategories.UTILS
    RETURN_TYPES = (LogEntry.ID,)
    RETURN_NAMES = ("log_entry",)
    FUNCTION = "convert"

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "value": ("FLOAT", {"default": 0}),
                "label": ("STRING", {"default": ""}),
            },
        }

    def convert(self, label, value):
        return (LogEntry.new(label + ": " + str(value)),)