import re
import json
import pandas as pd
import pprint
from copy import deepcopy


def debug_print_db_struct(db_struct):
    pprint.pprint(
        db_struct, width=80, indent=2
    )  # Ajusta el parámetro 'width' según necesidad


def expand_udt_references(db_struct, udts):
    """
    Recursively expand UDT references in the given DB structure using the UDT definitions.
    This function specifically expands fields designated as 'type' which reference UDTs.
    """
    if isinstance(db_struct, dict):
        for key, value in list(db_struct.items()):
            if isinstance(value, dict):
                # Recurse into dictionaries
                expand_udt_references(value, udts)
            elif isinstance(value, str) and key == "type":  # Only expand 'type' fields
                type_name = value.strip(
                    '"'
                )  # Remove quotes which may wrap UDT names with spaces
                if type_name in udts:
                    # Replace the UDT reference with its deeply copied definition
                    db_struct["is_udt_definition"] = True
                    db_struct["fields"] = deepcopy(udts[type_name])

                    print(f"Expanded UDT '{type_name}' at field '{key}'")
    elif isinstance(db_struct, list):
        for item in db_struct:
            expand_udt_references(item, udts)


def handle_array_types(db_struct):
    """
    Handle array types to expand them into multiple fields as sub-elements while preserving comments.
    Modifies the structure in place by expanding array definitions within their original field.
    """
    if isinstance(db_struct, dict):
        for key, value in list(db_struct.items()):
            if isinstance(value, dict):
                # Recursively process nested dictionaries
                handle_array_types(value)

            if isinstance(value, dict) and "type" in value:
                match = re.match(r"Array\[(\d+)\.\.(\d+)\] of (\w+)", value["type"])
                if match:
                    lower_bound, upper_bound, base_type = (
                        int(match.group(1)),
                        int(match.group(2)),
                        match.group(3),
                    )
                    comment = value.get("comment", "")
                    value["array_definition"] = True
                    # Instead of popping the original key, initialize a sub-dictionary
                    value["Array"] = (
                        {}
                    )  # Initialize a sub-dictionary for array elements

                    for i in range(lower_bound, upper_bound + 1):
                        element_key = f"[{i}]"
                        value["Array"][element_key] = {
                            "type": base_type,
                            "comment": comment,
                            "is_array_element": True,
                        }

                    # Optionally, modify or remove the original type designation if necessary
                    # value.pop('type', None)  # Uncomment this if you want to remove the 'type' from the original

                # Continue the recursive handling if it's not an array definition
                elif isinstance(value, dict):
                    handle_array_types(value)



def expand_dbs(udts, dbs):
    """
    Expand all UDT references in all DBs and then handle array types.
    """
    for db_name, db_content in dbs.items():
        print(f"Expanding DB: {db_name}")
        expand_udt_references(db_content, udts)
        handle_array_types(db_content)
        print(f"Completed expansion for DB: {db_name}")