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Reads text file, removes comments, returns cleaned text and line dictionary for AI artists' workflow efficiency.
The Text File History Loader node is designed to read the contents of a specified text file, process the text by removing lines that start with a comment character (#
), and return the cleaned text along with a dictionary of the lines. This node is particularly useful for AI artists who need to manage and utilize text data from files in their creative workflows. By keeping a history of the text files processed, it ensures that you can easily track and reuse text data, enhancing efficiency and organization in your projects.
The file_path
parameter specifies the path to the text file you want to load. This parameter is crucial as it directs the node to the correct file location. If the file path is incorrect or the file does not exist, the node will return an error. The default value is an empty string, and it must be a valid path to a text file on your system.
The dictionary_name
parameter allows you to specify a custom name for the dictionary key under which the text lines will be stored. If you leave this parameter as the default value [filename]
, the node will use the file's name (without the extension) as the dictionary key. This parameter helps in organizing and identifying the text data, especially when dealing with multiple files.
The TEXT_TYPE
output is a single string containing the cleaned text from the file, with each line concatenated together. This output is useful for directly using the text in your AI art projects or further processing.
The DICT
output is a dictionary where the key is the dictionary_name
(or the file name if the default is used) and the value is a list of the cleaned lines from the text file. This structured output allows for easy access and manipulation of individual lines of text, making it ideal for tasks that require line-by-line processing.
file_path
is correctly specified and points to an existing text file to avoid errors.dictionary_name
parameter to organize your text data effectively, especially when working with multiple files.TEXT_TYPE
output for tasks that require the entire text as a single string, and the DICT
output for tasks that need line-by-line processing.<file_path>
specified cannot be found.file_path
parameter is left empty.<index>
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