import sys
import os

try:
    thisFilePath = os.path.abspath(__file__)
except NameError:
    print("Error: __file__ is not available. Ensure the script is being run from a file.")
    print("[Notice] Path to DIMA package may not be resolved properly.")
    thisFilePath = os.getcwd()  # Use current directory or specify a default

dimaPath = os.path.normpath(os.path.join(thisFilePath, "..",'..','..'))  # Move up to project root

if dimaPath not in sys.path:  # Avoid duplicate entries
    sys.path.insert(0,dimaPath)
    
import pandas as pd
import collections
import json
import h5py
import argparse
import logging

import utils.g5505_utils as utils



def read_jsonflag_as_dict(path_to_file):


    file_dict = {}
    path_tail, path_head = os.path.split(path_to_file)

    file_dict['name'] = path_head
    # TODO: review this header dictionary, it may not be the best way to represent header data
    file_dict['attributes_dict'] = {}
    file_dict['datasets'] = []

    try:
        with open(path_to_file, 'r') as stream:
            flag = json.load(stream)#, Loader=json.FullLoader)
    except (FileNotFoundError, json.JSONDecodeError) as exc:
        print(exc)

    dataset = {}
    dataset['name'] = 'data_table'#_numerical_variables'
    dataset['data'] = utils.convert_attrdict_to_np_structured_array(flag) #df_numerical_attrs.to_numpy()
    dataset['shape'] = dataset['data'].shape
    dataset['dtype'] = type(dataset['data'])  

    file_dict['datasets'].append(dataset)

    return file_dict

if __name__ == "__main__":

    from src.hdf5_ops import save_file_dict_to_hdf5
    from utils.g5505_utils import created_at

    # Set up argument parsing
    parser = argparse.ArgumentParser(description="Data ingestion process to HDF5 files.")
    parser.add_argument('dst_file_path', type=str, help="Path to the target HDF5 file.")
    parser.add_argument('src_file_path', type=str, help="Relative path to source file to be saved to target HDF5 file.")
    parser.add_argument('dst_group_name', type=str, help="Group name '/instFolder/[category]/fileName' in the target HDF5 file.")

    args = parser.parse_args()

    hdf5_file_path = args.dst_file_path
    src_file_path = args.src_file_path
    dst_group_name = args.dst_group_name
    default_mode = 'r+'

    try:
        # Read source file and return an internal dictionary representation
        idr_dict = read_jsonflag_as_dict(src_file_path)

        if not os.path.exists(hdf5_file_path):
            default_mode = 'w'

        print(f'Opening HDF5 file: {hdf5_file_path} in mode {default_mode}')
        
        with h5py.File(hdf5_file_path, mode=default_mode, track_order=True) as hdf5_file_obj:
            try:
                # Create group if it does not exist
                if dst_group_name not in hdf5_file_obj:
                    hdf5_file_obj.create_group(dst_group_name)
                    hdf5_file_obj[dst_group_name].attrs['creation_date'] = created_at().encode('utf-8')
                    print(f'Created new group: {dst_group_name}')
                else:
                    print(f'Group {dst_group_name} already exists. Proceeding with data transfer...')

            except Exception as inst:
                logging.error('Failed to create group %s in HDF5: %s', dst_group_name, inst)

            # Save dictionary to HDF5
            save_file_dict_to_hdf5(hdf5_file_obj, dst_group_name, idr_dict)
            print(f'Completed saving file dict with keys: {idr_dict.keys()}')

    except Exception as e:
        logging.error('File reader failed to process %s: %s', src_file_path, e)
        print(f'File reader failed to process {src_file_path}. See logs for details.')