diff --git a/app_main.py b/app_main.py
index 7d425ad..41fc471 100644
--- a/app_main.py
+++ b/app_main.py
@@ -4,6 +4,7 @@ import os
from aviza.paynl_single import extract_and_process_zip_paynl_single
from aviza.gls_single import extract_and_process_zip_gls_single
+from aviza.gls_auto import extract_and_process_zip_gls_auto
from csv2gpc import convert_csv_to_gpc, mapping_sparkasse, mapping_pko, mapping_wise
from allegro import convert_csv_to_gpc_allegro, mapping_allegro
from aviza.przelewy24_report_single import extract_and_process_zip_przelewy_report_single
@@ -127,6 +128,24 @@ def index():
as_attachment=True,
mimetype="application/zip"
)
+ elif option == "gls_auto_huf":
+
+ result_data = extract_and_process_zip_gls_auto(tmp_file_path, bank_statement_file_path, f"{option}_aviza_{day_of_year}.gpc", 3498710000999141, "HUF")
+ return send_file(
+ result_data,
+ download_name=f"gls_auto_huf_{day_of_year}.zip",
+ as_attachment=True,
+ mimetype="application/zip"
+ )
+ elif option == "gls_auto_ron":
+
+ result_data = extract_and_process_zip_gls_auto(tmp_file_path, bank_statement_file_path, f"{option}_aviza_{day_of_year}.gpc", 3498710000999149, "RON")
+ return send_file(
+ result_data,
+ download_name=f"gls_auto_ron_{day_of_year}.zip",
+ as_attachment=True,
+ mimetype="application/zip"
+ )
elif option == "przelewy24_single":
result_data = extract_and_process_zip_przelewy_report_single(tmp_file_path, f"{option}_aviza_{day_of_year}.csv")
diff --git a/aviza/gls_auto.py b/aviza/gls_auto.py
new file mode 100644
index 0000000..bdbc5f3
--- /dev/null
+++ b/aviza/gls_auto.py
@@ -0,0 +1,269 @@
+import csv
+import pandas as pd
+import chardet
+import os
+import io
+import zipfile
+import shutil
+from datetime import datetime, date
+from gpc import Data, Header, TransactionCode, CURRENCIES_GPC
+from utils import extract_order_number, extract_numbers, parse_date
+from decimal import Decimal, ROUND_HALF_UP
+from aviza.helpers import write_output_gpc_to_zip
+
+GLOBAL_CURRENCY = None
+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.
+ """
+ global GLOBAL_CURRENCY
+ df = pd.read_csv(csv_file, delimiter=',', dtype=str)
+
+ if GLOBAL_CURRENCY == "HUF":
+ if 'Reference' not in df.columns:
+ raise ValueError("The CSV file does not contain the required column 'Reference'.")
+
+ if GLOBAL_CURRENCY == "RON":
+ if 'Reference' not in df.columns:
+ raise ValueError("The CSV file does not contain the required column 'Reference'.")
+
+ return df
+
+def search_bank_transaction(search_string):
+ """
+ Searches for a given string in the 'Zpráva pro příjemce' column of the loaded DataFrame.
+
+ :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.
+ """
+
+ global GLOBAL_CURRENCY, transactions_df
+
+ if GLOBAL_CURRENCY == "HUF":
+ row_title = 'Reference'
+ if GLOBAL_CURRENCY == "RON":
+ row_title = 'Reference'
+ matching_row = transactions_df[transactions_df[row_title].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_gls_auto(zip_file_path, bank_statement_file_path, output_file, account_number, currency):
+
+ global GLOBAL_CURRENCY, transactions_df
+ all_transformed_data = []
+
+ transactions_df = load_bank_transactions(bank_statement_file_path)
+ GLOBAL_CURRENCY = currency
+
+ 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 zip file.
+ with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
+ zip_ref.extractall(extract_folder)
+
+ # Search for the folder named 'GLOBAL_CURRENCY' within the extracted contents.
+ global_currency_folder = None
+ for root, dirs, files in os.walk(os.path.join(extract_folder, 'Aviza GLS')):
+ if os.path.basename(root) == GLOBAL_CURRENCY:
+ global_currency_folder = root
+ break
+
+ if global_currency_folder:
+ # Process every CSV file found in the GLOBAL_CURRENCY folder.
+ for filename in os.listdir(global_currency_folder):
+ if filename.endswith(".xlsx"):
+ csv_path = os.path.join(global_currency_folder, filename)
+ transformed_data = convert_csv_to_gpc_gls_auto(csv_path, account_number, currency)
+ all_transformed_data.append(transformed_data)
+ else:
+ print(f"'GLOBAL_CURRENCY' folder not found in zip file")
+
+ # Clean up extracted files.
+ for root, dirs, files in os.walk(extract_folder, topdown=False):
+ for file in files:
+ os.remove(os.path.join(root, file))
+ for dir in dirs:
+ os.rmdir(os.path.join(root, dir))
+ os.rmdir(extract_folder)
+
+ print(f"Processed and cleaned up")
+
+ # Write all collected transformed data to the output file.
+ return write_output_gpc_to_zip(output_file, all_transformed_data)
+
+
+def convert_csv_to_gpc_gls_auto(csv_file_path, account_number, currency):
+ gpc_lines = []
+ global transactions_df
+
+ df = pd.read_excel(csv_file_path, skiprows=7, dtype=str)
+
+ if currency == "HUF":
+ payment_date = datetime.strptime(csv_file_path.split("_" + currency + "_")[1].split("_")[0], "%Y%m%d").strftime(
+ "%Y.%m.%d")
+ elif currency == "RON":
+ payment_date = datetime.strptime(csv_file_path.split("_" + currency + "_")[1].replace(".xlsx", ""), "%d%m%Y").strftime("%Y.%m.%d")
+
+ df.iloc[:, 4] = pd.to_numeric(df.iloc[:, 4].str.replace(',', '.'), errors='coerce').fillna(0)
+ cumsum = 0.00
+ transformed_data = []
+ total_rows = len(df)
+ total_payout = 0.0
+ total_payout_debet = 0.0
+ total_payout_credit = 0.0
+ total_payout_abs = 0.0
+
+
+ for index, row in df.iterrows():
+
+ reference = "0" if pd.isna(row.iloc[2]) else extract_order_number(row.iloc[2])
+ transaction_id = extract_numbers(row.iloc[0])
+ direction = None
+ source_name = ""
+ payer_account = 0
+
+ created_on = parse_date(row.iloc[3])
+
+ # Convert the value using Decimal instead of float
+ source_str = row.iloc[4]
+ source_amount = Decimal(source_str)
+
+ # Quantize to 2 decimal places (rounding if necessary)
+ source_amount = source_amount.quantize(Decimal('0.01'), rounding=ROUND_HALF_UP)
+
+ # Multiply by 100 to get cents (if that's what you need) and convert to integer
+ source_amount_cents = int(source_amount * 100)
+
+ # Determine transaction type
+ if(direction is None):
+ if source_amount_cents > 0:
+ transaction_code = TransactionCode.CREDIT
+ else:
+ transaction_code = TransactionCode.DEBET
+ else:
+ if direction == "out":
+ transaction_code = TransactionCode.DEBET
+ else:
+ transaction_code = TransactionCode.CREDIT
+
+ # Convert currency
+ currency_code = "100" + str(transaction_code.value)
+
+ # Create GPC Data object
+ gpc_data = Data(
+ account=account_number,
+ payer_account=payer_account,
+ no=transaction_id,
+ balance=source_amount_cents,
+ code=transaction_code,
+ variable=int(reference) if reference.isdigit() else 0,
+ constant_symbol=0,
+ bank_code=0,
+ specific_symbol=0,
+ client_name="CG ABCD-EFGH-IJKL" if transaction_code == TransactionCode.CREDIT else "CG refundace",
+ currency=currency_code,
+ date=created_on
+ )
+
+ gpc_lines.append(gpc_data.to_string())
+ total_payout += source_amount_cents
+ total_payout_abs += abs(source_amount_cents)
+ total_payout_debet += abs(source_amount_cents) if transaction_code == TransactionCode.DEBET else 0
+ total_payout_credit += abs(source_amount_cents) if transaction_code == TransactionCode.CREDIT else 0
+ # break
+
+ if index == total_rows - 2:
+ break
+
+
+ corresponding_transaction = search_bank_transaction(payment_date)
+
+ # vyuctovani row
+ payout_data = Data(
+ account=account_number,
+ payer_account=account_number,
+ no=int(total_payout),
+ balance=total_payout,
+ code=TransactionCode.DEBET,
+ variable=int(total_payout),
+ # variable=corresponding_transaction['Zpráva pro příjemce'].split(',')[-1].strip(),
+ constant_symbol=0,
+ bank_code=0,
+ specific_symbol=0,
+ client_name="CG vyúčtování",
+ currency="1001",
+ date=parse_date(corresponding_transaction['Created on']) if corresponding_transaction is not None else datetime.now()
+ )
+
+ total_payout_credit += abs(total_payout)
+ total_payout_abs += abs(total_payout)
+
+ gpc_lines.append(payout_data.to_string())
+
+ # Create and add the header
+ header = Header(
+ account=account_number,
+ account_name=currency.ljust(20),
+ old_date=datetime.strptime("01-03-20", "%d-%m-%y"),
+ old_balance=0,
+ old_sign='+',
+ new_balance=0,
+ new_sign='+',
+ turnover_debet=total_payout,
+ turnover_debet_sign='+',
+ turnover_credit=total_payout,
+ turnover_credit_sign='+',
+ transaction_list_no=int(date.today().strftime("%j")),
+ date=datetime.now()
+ )
+ gpc_lines.insert(0, header.to_string())
+
+
+ file_content = "".join(gpc_lines)
+ print(f"GPC file content successfully created")
+ return file_content.encode("windows-1250")
+
+
+def transform_csv(input_file):
+ global transactions_df, GLOBAL_CURRENCY
+ df = pd.read_excel(input_file, skiprows=7, dtype=str)
+
+ payment_date = datetime.strptime(input_file.split("_" + GLOBAL_CURRENCY + "_")[1].split("_")[0], "%Y%m%d").strftime("%Y.%m.%d")
+
+ df.iloc[:, 4] = pd.to_numeric(df.iloc[:, 4].str.replace(',', '.'), errors='coerce').fillna(0)
+ cumsum = 0.00
+ transformed_data = []
+ total_rows = len(df)
+ for index, row in df.iterrows():
+ amount = row.iloc[4]
+ typ_operace = "t" if amount >= 0 else "c"
+ cumsum += amount
+ transformed_row = [
+ typ_operace, row.iloc[3], row.iloc[0], amount, cumsum, "TRUE", row.iloc[2],
+ f"Dobirka za FA s VS {row.iloc[2]}", "", "", "", "", "", "", row.iloc[1], 0, GLOBAL_CURRENCY
+ ]
+ transformed_data.append(transformed_row)
+
+ progress = (index + 1) / total_rows * 100
+ sys.stdout.write(f"\rProcessing: {progress:.2f}%")
+ sys.stdout.flush()
+
+ if index == total_rows - 2:
+ break
+
+
+ total_sum = cumsum
+ corresponding_transaction = search_bank_transaction(payment_date)
+ final_row = ["w", datetime.strptime(corresponding_transaction['Created on'], "%Y-%m-%d %H:%M:%S").strftime("%Y-%m-%d"), corresponding_transaction['ID'].split('-')[-1].strip(), -total_sum, 0, "TRUE", "", "Vyrovnání zůstatku", "12600016-16965466-28438156", "", "", "", "", "", "NEWLINE BREAK", "", GLOBAL_CURRENCY]
+ transformed_data.append(final_row)
+
+ return transformed_data
diff --git a/csv2gpc.py b/csv2gpc.py
index db7101e..1bb2dd0 100644
--- a/csv2gpc.py
+++ b/csv2gpc.py
@@ -91,7 +91,7 @@ def convert_csv_to_gpc(csv_file_path, gpc_file_path, account_number, currency, m
else:
transaction_code = TransactionCode.DEBET
else:
- if direction == "out":
+ if direction == "out" or direction == "neutral":
transaction_code = TransactionCode.DEBET
else:
transaction_code = TransactionCode.CREDIT
diff --git a/templates/index.html b/templates/index.html
index f3c36dc..0216960 100644
--- a/templates/index.html
+++ b/templates/index.html
@@ -82,30 +82,37 @@
Pouzijte .zip se vsemi zip soubory z exportu
.gpc aviza pro EUR ucet
-
-
Przelewy24 .gpc
-
Pouzijte .zip se vsemi .csv soubory z reportu
-
.gpc aviza pro Przelewy24
-
Przelewy24 transakce .gpc
Pouzijte jeden .csv soubor z transakci
.gpc aviza pro Przelewy24
-
-
GLS HU .gpc
-
Pouzijte .zip se vsemi zip soubory z exportu (z disku zazipovat slozku Aviza GLS)
-
.gpc aviza pro HUF dobirky
-
Packeta .gpc
Pouzijte .zip se vsemi avizy ze zasilkovny
.gpc aviza pro dobirky z packety
+
+
GLS HU .gpc
+
Pouzijte .zip se vsemi zip soubory z exportu (z disku zazipovat slozku Aviza GLS)
+
.gpc aviza pro HUF dobirky
+
+
GLS RON .gpc
+
Pouzijte .zip se vsemi zip soubory z exportu (z disku zazipovat slozku Aviza GLS)
+
.gpc aviza pro RON dobirky
+