#!/usr/bin/env python
"""
Read a checkpoint/safetensors file and compare it to a template .json.
Returns True if their metadata match.
"""

import sys
import argparse
import json

from pathlib import Path

from invokeai.backend.model_management.models.base import read_checkpoint_meta

parser = argparse.ArgumentParser(description="Create a .json template from checkpoint/safetensors model")
parser.add_argument(
    "--checkpoint",
    "--in",
    type=Path,
    help="Path to the input checkpoint/safetensors file"
)
parser.add_argument(
    "--template",
    "--out",
    type=Path,
    help="Path to the template .json file to match against"
)

opt = parser.parse_args()
ckpt = read_checkpoint_meta(opt.checkpoint)
while "state_dict" in ckpt:
    ckpt = ckpt["state_dict"]

checkpoint_metadata = {}

for key, tensor in ckpt.items():
    checkpoint_metadata[key] = list(tensor.shape)

with open(opt.template,'r') as f:
    template = json.load(f)

if checkpoint_metadata == template:
    print('True')
    sys.exit(0)
else:
    print('False')
    sys.exit(-1)