Source code for maxtext.experimental.agent.ckpt_conversion_agent.utils.utils

# Copyright 2025 Google LLC
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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"""Utility functions for the utility module"""

import json


[docs] def load_prompt_template(filepath: str) -> str: """Loads a prompt template from a file.""" with open(filepath, "rt", encoding="utf-8") as f: return f.read()
[docs] def load_text_file(file_path): """Loads a text file.""" try: with open(file_path, "rt", encoding="utf-8") as f: return f.read() except FileNotFoundError: print(f"Error: Text file not found at {file_path}") return None
[docs] def load_json(file_path): """Loads a JSON file.""" try: with open(file_path, "rt", encoding="utf-8") as f: return json.load(f) except FileNotFoundError: print(f"Error: JSON file not found at {file_path}") return None except json.JSONDecodeError: print(f"Error: Could not decode JSON from {file_path}") return None
[docs] def assemble_script(target_model, param_mapping_code, hook_fn_code, shape_mapping_code): """Assembles the final Python script from generated parts.""" # This is the system instruction template provided in the request. # We will fill it with the generated code. script_template = f"""# This file was auto-generated by a prompt chaining process. \"\"\" Conversion functions for '{target_model}' between MaxText and Hugging Face formats. This script provides the necessary mappings and transformation functions (hooks) to convert model parameters from a MaxText checkpoint to a Hugging Face compatible format, and vice-versa. \"\"\" {param_mapping_code} {hook_fn_code} {shape_mapping_code} """ return script_template