# import pickle

# # Load the pickle file
# with open("face_store.pkl", "rb") as f:
#     data = pickle.load(f)

# # Print the data for inspection
# print(data)


# import json
# import numpy as np

# def convert_ndarray(obj):
#     """Recursively convert numpy.ndarray to list in a data structure."""
#     if isinstance(obj, np.ndarray):
#         return obj.tolist()
#     elif isinstance(obj, list):
#         return [convert_ndarray(item) for item in obj]
#     elif isinstance(obj, dict):
#         return {key: convert_ndarray(value) for key, value in obj.items()}
#     else:
#         return obj

# # Assuming `data` contains numpy arrays
# # data = {
# #     "name": "example",
# #     "embedding": np.array([1.0, 2.0, 3.0]),
# #     "nested": {
# #         "another_array": np.array([4.0, 5.0])
# #     }
# # }

# # Convert `data` to JSON-serializable format
# data_serializable = convert_ndarray(data)

# # Save as JSON
# with open("data.json", "w") as json_file:
#     json.dump(data_serializable, json_file, indent=4)

# print("JSON file saved successfully!")


import pickle
import json
import numpy as np

# Function to convert non-serializable objects (like numpy arrays) to a serializable format
def convert_to_serializable(data):
    if isinstance(data, np.ndarray):
        return data.tolist()  # Convert ndarray to list
    elif isinstance(data, dict):  # If data is a dictionary, recursively convert values
        return {key: convert_to_serializable(value) for key, value in data.items()}
    elif isinstance(data, list):  # If data is a list, recursively convert items
        return [convert_to_serializable(item) for item in data]
    else:
        return data  # For other types, return as is

# Load the pickle file
with open("face_store.pkl", "rb") as f:
    data = pickle.load(f)

# Convert the data to a JSON-serializable format
data_serializable = convert_to_serializable(data)

# Save to a JSON file
with open("face_store.json", "w") as json_file:
    json.dump(data_serializable, json_file, indent=4)

print("Data has been saved to face_store.json")