ComfyUI Node: CachedGetter

CachedGetter:

The CachedGetter node is designed to efficiently retrieve and cache data based on a specified key. This node is particularly useful in scenarios where repeated access to the same data is required, as it minimizes redundant computations by storing previously fetched results. When a key is provided, the node first checks if the corresponding data is already cached. If it is, the cached data is returned immediately, ensuring quick access. If the data is not cached, the node fetches the data, caches it for future use, and then returns it. This caching mechanism enhances performance and reduces the computational load, making it an essential tool for optimizing workflows that involve repetitive data retrieval tasks.

CachedGetter Input Parameters:

key

The key parameter is a required input that specifies the unique identifier for the data you want to retrieve or cache. It is a string value that acts as a reference to the cached data. When you provide a key, the node checks if the data associated with this key is already cached. If it is, the cached data is returned; otherwise, the node fetches the data, caches it, and then returns it. This parameter is crucial for ensuring that the correct data is retrieved and cached efficiently.

value

The value parameter is an optional input that allows you to provide additional data or context that might be needed for fetching the data associated with the key. This parameter can be of any type and is used in scenarios where the data retrieval process requires more information than just the key. If provided, this value is passed along to the data fetching function, ensuring that all necessary information is available for accurate data retrieval.

CachedGetter Output Parameters:

*

The output of the CachedGetter node is the data associated with the provided key. This data can be of any type, depending on what is stored in the cache or retrieved by the data fetching function. The output is returned as a tuple containing the cached or newly fetched data. This ensures that the data is easily accessible and can be used in subsequent nodes or processes within your workflow.

CachedGetter Usage Tips:

• Use unique and descriptive keys to ensure that the correct data is retrieved and cached.
• Provide the value parameter when additional context or data is needed for accurate data retrieval.
• Regularly monitor and manage the cache to ensure that it does not grow too large and impact performance.

CachedGetter Common Errors and Solutions:

KeyError: 'key'

• Explanation: This error occurs when the provided key is not found in the cache and the data fetching function fails to retrieve the data.
• Solution: Ensure that the key is correct and that the data fetching function is properly implemented to handle cases where the key is not found.

TypeError: 'value' is not of expected type

• Explanation: This error occurs when the provided value parameter is not of the expected type required by the data fetching function.
• Solution: Verify that the value parameter is of the correct type and format required by the data fetching function.

CacheOverflowError: Cache size limit exceeded

• Explanation: This error occurs when the cache exceeds its maximum allowed size, leading to potential performance issues.
• Solution: Implement a cache management strategy to regularly clear or prune the cache, ensuring it remains within the acceptable size limits.