norma43 0.1.4

High-performance Python parser for Norma 43 (Cuaderno 43 / AEB 43) Spanish banking files. Open-source, type-hinted, and dependency-free.

Norma 43 Parser (Python)

The definitive, zero-dependency Python library for parsing Spanish banking statements in the Norma 43 (Cuaderno 43 / AEB 43) format.

Designed for fintech developers, accountants, and financial data analysts who need a reliable, high-performance tool to automate bank reconciliation and process financial movements from Spanish banks (CaixaBank, BBVA, Santander, Sabadell, etc.).

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🚀 Key Features

• 🔒 Complete Compliance: rigorous implementation of the AEB (Asociación Española de Banca) specifications for Norma 43.
• ⚡ High Performance: Optimized for processing large files quickly using only Python's standard library. No external dependencies.
• 🛠️ Developer Ready: Fully type-hinted (PEP 484) for excellent IDE support and error checking.
• ✅ Robust Parsing: Handles common edge cases, including complex sign management (debit/credit) and multi-line concepts (Record 23).
• 📦 Multi-Format Export: Built-in CLI to convert .n43 files to JSON or CSV for easy integration with Excel, Pandas, or DataFrames.

📖 Table of Contents

• Installation
• Quick Start
• CLI Usage
• Data Structure
• Supported Records
• License

📥 Installation

Requires Python 3.7+.

Install the latest version from PyPI:

pip install norma43

Or clone the repository and install directly:

git clone https://github.com/enricopesce/norma43.git
cd norma43
pip install .

💻 Quick Start

Easily integrate Norma 43 parsing into your Python financial applications:

from norma43.parser import Norma43Parser

# 1. Initialize the parser
parser = Norma43Parser("path/to/statement.n43")

# 2. Parse the file
accounts = parser.parse()

# 3. Process the data
for account in accounts:
    print(f"🏦 Account: {account.bank}-{account.branch}-{account.account_number}")
    print(f"👤 Owner: {account.owner}")
    print(f"💰 Balance: {account.final_balance} {account.currency}")
    
    for tx in account.transactions:
        # Use tx.full_description for all lines joined, or check if tx.description exists
        desc = tx.description[0] if tx.description else "No description"
        print(f"   📅 {tx.date} | {tx.amount:>10} | {desc}")

🖥️ CLI Usage

This library includes a powerful command-line interface (CLI) for quick file inspection and conversion.

1. View Summary (Text)

Ideal for quick verification of file contents.

python -m norma43 statement.n43

2. Convert to JSON

Export data for use in web apps or NoSQL databases.

python -m norma43 statement.n43 --format json --output data.json

3. Convert to CSV

Generate spreadsheets for Excel or import into Pandas.

python -m norma43 statement.n43 --format csv --output report.csv

📊 Data Structure

The parser returns a List[Account] where Account and its Transaction objects are dataclasses:

Account Object (dataclass)

Field	Type	Description
bank	str	4-digit Bank Code
branch	str	4-digit Branch Code
account_number	str	10-digit Account Number
initial_balance	Decimal	Balance at start period
final_balance	Decimal	Balance at end period
currency	str	ISO 4217 Currency Code (e.g., 978 for EUR)
transactions	List[Transaction]	List of transaction objects

Transaction Object (dataclass)

Field	Type	Description
date	date	Transaction date
value_date	date	Value date (Fecha valor)
amount	Decimal	Signed transaction amount
description	List[str]	Full description lines
full_description	property (str)	All description lines joined by space
reference1	str	Primary reference / Document ID

📋 Supported Records

Record	Type	Status	Description
11	Header	✅	Account identification and initial balance
22	Transaction	✅	Main movement details (Date, Amount, IDs)
23	Complementary	✅	Extended concepts and descriptions
33	Footer	✅	Account final balance and totals verification
88	End of File	✅	File integrity check

⚖️ License

Distributed under the Apache License 2.0. See LICENSE for more information.

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Keywords: Norma 43, Cuaderno 43, CSB 43, AEB 43, Conciliación Bancaria, Bank Reconciliation, Spanish Banking Standard, Python Parser, Finance, Fintech, Open Banking.