ComfyUI Node: (危险！)万能解释器工具(danger!)(omnipotent_interpreter_tool)

(危险！)万能解释器工具(danger!)(omnipotent_interpreter_tool):

The new_interpreter_tool is a versatile and powerful node designed to execute complex Python code and return the console output. This tool is particularly useful for running intricate scripts that may involve multiple lines of code or require the installation of additional Python packages. By leveraging a virtual environment, it ensures that the execution environment is isolated and dependencies are managed effectively. This node is ideal for AI artists who need to run custom Python scripts as part of their creative workflows, providing a seamless way to integrate code execution into their projects.

(危险！)万能解释器工具(danger!)(omnipotent_interpreter_tool) Input Parameters:

is_enable

The is_enable parameter is a boolean value that determines whether the node is active or not. When set to True, the node will execute the provided Python code. If set to False, the node will not perform any action. This parameter allows you to easily enable or disable the node's functionality without removing it from your workflow. The default value is True.

(危险！)万能解释器工具(danger!)(omnipotent_interpreter_tool) Output Parameters:

tool

The tool output parameter is a string that contains the JSON representation of the function to be executed. This JSON includes the function name, description, and the required parameters for execution. The output is designed to be easily interpretable and can be used to understand the function's purpose and requirements. This output is crucial for integrating the node's functionality into larger workflows and ensuring that the correct code is executed.

(危险！)万能解释器工具(danger!)(omnipotent_interpreter_tool) Usage Tips:

• Ensure that the is_enable parameter is set to True to activate the node and execute your Python code.
• Use this node for running complex Python scripts that may require multiple lines of code or additional package installations.
• Leverage the virtual environment feature to manage dependencies and avoid conflicts with other parts of your project.

(危险！)万能解释器工具(danger!)(omnipotent_interpreter_tool) Common Errors and Solutions:

Error: ModuleNotFoundError: No module named '(\S+)'

• Explanation: This error occurs when the Python code being executed requires a module that is not installed in the virtual environment.
• Solution: The node attempts to automatically install the missing module and re-run the code. Ensure that the virtual environment has access to the internet to download the required packages.

Error: 代码未执行成功，错误信息为：<error_message>

• Explanation: This error message indicates that the Python code did not execute successfully due to an exception.
• Solution: Review the error message to understand the cause of the exception. Common issues include syntax errors, missing dependencies, or runtime errors. Correct the code and try running it again.