import pandas as pd
import csv
import sys
import os
import io
import zipfile
import shutil
from datetime import datetime
from aviza.helpers import write_output_csv_to_zip

transactions_df = None



def load_bank_transactions(csv_file):
    """
    Loads the bank transactions CSV file into a DataFrame and returns it.

    :param csv_file: Path to the bank transactions CSV file.
    :return: A pandas DataFrame containing the transactions.
    """
    df = pd.read_csv(csv_file, delimiter=';', dtype=str)

    # Ensure the required column exists
    if 'Zpráva pro příjemce' not in df.columns:
        raise ValueError("The CSV file does not contain the required column 'Zpráva pro příjemce'.")

    return df

def search_bank_transaction(search_string):
    global transactions_df
    """
    Searches for a given string in the 'Zpráva pro příjemce' column of the loaded DataFrame.

    :param df: Pandas DataFrame containing bank transactions.
    :param search_string: String to search for in the 'Zpráva pro příjemce' column.
    :return: The first matching row as a dictionary or None if not found.
    """
    matching_row = transactions_df[transactions_df['Zpráva pro příjemce'].str.contains(search_string, na=False, case=False)]

    return matching_row.iloc[0].to_dict() if not matching_row.empty else None


def extract_and_process_zip_paynl_single(zip_file_path, bank_statement_file_path, output_file):
    global transactions_df
    transactions_df = load_bank_transactions(bank_statement_file_path)
    all_transformed_data = []

    # Create a temporary folder for extraction
    base_dir = os.path.dirname(zip_file_path)
    extract_folder = os.path.join(base_dir, "extracted_temp")
    os.makedirs(extract_folder, exist_ok=True)

    # Extract the provided outer zip file
    with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
        zip_ref.extractall(extract_folder)

    # Check if a top-level "Transactions" folder exists
    transactions_folder = os.path.join(extract_folder, "Transactions")
    if os.path.exists(transactions_folder):
        # Look for a CSV file inside the Transactions folder
        csv_filename = next(
            (f for f in os.listdir(transactions_folder)
             if f.startswith("Specification clearing") and f.endswith(".csv")),
            None
        )
        if csv_filename:
            csv_path = os.path.join(transactions_folder, csv_filename)
            transformed_data = transform_csv(csv_path)
            all_transformed_data.append(transformed_data)
    else:
        # Otherwise, look for inner zip files named "Specification clearing*.zip"
        for root, dirs, files in os.walk(extract_folder):
            for file in files:
                if file.startswith("Specification clearing") and file.endswith(".zip"):
                    inner_zip_path = os.path.join(root, file)
                    # Create a temporary folder for the inner zip extraction
                    inner_extract_folder = os.path.join(root, "inner_extracted")
                    os.makedirs(inner_extract_folder, exist_ok=True)
                    with zipfile.ZipFile(inner_zip_path, 'r') as inner_zip:
                        inner_zip.extractall(inner_extract_folder)

                    # Expect the inner zip to contain a "Transactions" folder with the CSV
                    inner_transactions_folder = os.path.join(inner_extract_folder, "Transactions")
                    if os.path.exists(inner_transactions_folder):
                        inner_csv_filename = next(
                            (f for f in os.listdir(inner_transactions_folder)
                             if f.startswith("Specification clearing") and f.endswith(".csv")),
                            None
                        )
                        if inner_csv_filename:
                            inner_csv_path = os.path.join(inner_transactions_folder, inner_csv_filename)
                            transformed_data = transform_csv(inner_csv_path)
                            all_transformed_data.append(transformed_data)
                    # Clean up inner extraction folder
                    shutil.rmtree(inner_extract_folder)

    # Clean up the outer extraction folder
    shutil.rmtree(extract_folder)
    print(f"Processed and cleaned up: {zip_file_path}")

    # Return a ZIP archive (in memory) containing all the output CSV files.
    return write_output_csv_to_zip(output_file, all_transformed_data)

def transform_csv(input_file):
    global transactions_df
    df = pd.read_csv(input_file, delimiter=";", dtype=str, skiprows=3)
    df.iloc[:, 11] = pd.to_numeric(df.iloc[:, 11], errors='coerce').fillna(0)
    df["Commission_cumsum"] = df["Commission"].astype(float).cumsum().round(2)
    transformed_data = []
    total_rows = len(df)
    clearing_id = df['CLEARING_ID'].iloc[0] if 'CLEARING_ID' in df.columns else None

    for index, row in df.iloc[:-1].iterrows():
        amount = row.iloc[11]
        typ_operace = "t" if amount >= 0 else "c"

        transformed_row = [
            typ_operace, row.iloc[1], row.iloc[15], amount, row['Zůstatek na účtu'], "TRUE", row.iloc[15],
            f"Dobirka za FA s VS {row.iloc[15]}", "", "", "", "", row.iloc[6], row.iloc[6], row.iloc[4], 0, "EUR"
        ]
        transformed_data.append(transformed_row)

        progress = (index + 1) / total_rows * 100
        sys.stdout.write(f"\rProcessing: {progress:.2f}%")
        sys.stdout.flush()

    total_sum = round(df.iloc[:, 11].sum(), 2)
    corresponding_transaction = search_bank_transaction(clearing_id)
    final_row = ["w", datetime.strptime(corresponding_transaction['Datum'], "%d.%m.%Y").strftime("%Y-%m-%d"), corresponding_transaction['Zpráva pro příjemce'].split(',')[-1].strip(), -total_sum, 0, "TRUE", "", "Vyrovnání zůstatku", corresponding_transaction['Číslo účtu'] + "/2010", "", "", "", "", "", "NEWLINE BREAK", "", "EUR"]
    transformed_data.append(final_row)

    return transformed_data



# extract_and_process_zip(zip_folder, output_csv)