69 lines
1.6 KiB
Markdown
69 lines
1.6 KiB
Markdown
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# Documentation
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- Class name: RetrieveBackendData __Inspire
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- Category: InspirePack/Backend
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- Output node: False
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此节点旨在根据指定的键从后端缓存中检索数据。它抽象了访问缓存数据的复杂性，提供了一种简单直接的方式来获取先前存储的信息。
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# Input types
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## Required
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- key
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- "key"参数对于从缓存中识别要检索的特定数据至关重要。它作为唯一标识符，使节点能够定位并返回相应的数据。
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- Comfy dtype: STRING
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- Python dtype: str
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# Output types
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- data
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- "data"输出参数代表从缓存中检索到的信息。根据存储数据的性质，它可以是单个项目或项目列表。
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- Comfy dtype: *
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- Python dtype: Union[List[Any], Any]
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## Usage tips
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- Infra type: `CPU`
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- Common nodes: unknown
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## Source code
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```python
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class RetrieveBackendData:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"key": ("STRING", {"multiline": False, "placeholder": "Input data key (e.g. 'model a', 'chunli lora', 'girl latent 3', ...)"}),
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}
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}
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RETURN_TYPES = (any_typ,)
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RETURN_NAMES = ("data",)
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OUTPUT_IS_LIST = (True,)
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FUNCTION = "doit"
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CATEGORY = "InspirePack/Backend"
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@staticmethod
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def doit(key):
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global cache
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v = cache.get(key)
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if v is None:
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print(f"[RetrieveBackendData] '{key}' is unregistered key.")
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return (None,)
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is_list, data = v[1]
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if is_list:
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return (data,)
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else:
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return ([data],)
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@staticmethod
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def IS_CHANGED(key):
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return cache_weak_hash(key)
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```
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