Cache Backend Data List [NumberKey] (Inspire)

Documentation

• Class name: CacheBackendDataNumberKeyList __Inspire
• Category: InspirePack/Backend
• Output node: True

This node is designed to update a cache with data associated with a numeric key and a tag, supporting batch operations. It facilitates the storage and retrieval of backend data in a structured manner, allowing for efficient data management within the InspirePack backend framework.

Input types

Required

• key
  • The numeric key associated with the data to be cached. It serves as a unique identifier for the data within the cache.
  • Comfy dtype: INT
  • Python dtype: int
• tag
  • A short description or identifier for the data being cached. The tag helps in categorizing or describing the nature of the data for easier retrieval.
  • Comfy dtype: STRING
  • Python dtype: str
• data
  • The actual data to be cached. This parameter allows for the storage of any type of data, making the node versatile in its application.
  • Comfy dtype: *
  • Python dtype: any

Output types

• data opt
  • Comfy dtype: *
  • Returns the data that was passed in for caching, facilitating a confirmation of what data was processed.
  • Python dtype: any

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class CacheBackendDataNumberKeyList:
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "key": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
                "tag": ("STRING", {"multiline": False, "placeholder": "Tag: short description"}),
                "data": (any_typ,),
            }
        }

    INPUT_IS_LIST = True

    RETURN_TYPES = (any_typ,)
    RETURN_NAMES = ("data opt",)
    OUTPUT_IS_LIST = (True,)

    FUNCTION = "doit"

    CATEGORY = "InspirePack/Backend"

    OUTPUT_NODE = True

    def doit(self, key, tag, data):
        global cache
        update_cache(key[0], tag[0], (True, data))
        return (data,)