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Librería para manipular archivos de contabilidad en formato .ledger.

Project description

ledger-cli-toolkit

Ledger file manipulation library

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ledgerpy is a Python library designed to read, manipulate, and generate accounting files in .ledger format. It offers a simple way to work with these files within the Python ecosystem, transforming them into JSON-like structures that are easy to process and analyze.

Why ledgerpy?

The project was born from the need to have a tool to manipulate and read .ledger files directly from Python. While there are powerful tools such as ledger-cli to interact with these types of files from the command line, ledgerpy seeks to offer the same capability, but within the language, allowing developers to integrate this data into their applications in a simple way.

Features

Current Features

  • JSON Conversion: Converts .ledger files into JSON structures for easy analysis and manipulation.
  • Transaction Filtering: Filters records between specific dates.
  • Balance Calculation: Calculates account balances from processed transactions.
  • Add transactions: Add new transactions to .ledger files.

In development

Plugin: LedgerVisual: An additional module that allows the visualization of accounting data in tables in a simple way.

  • Display of transactions in journal format: Presents transactions in a table style accounting journal, with columns for:

    • Transaction number.
    • Date and time.
    • Concept.
    • Debit.
    • Credit.
    • Includes a final row with "EQUAL SUM" to total debits and credits.
  • Display of general balances: Shows the balances by account in a table organized with:

    • Account number.
    • Account name.
    • Unit (example: USD, MXN).
    • Balance.

Long-term goals

  • Export to popular formats:
  • Export transactions and balances to CSV files.
  • Generate reports in PDF format with tables and graphs.
  • Connection with SQL databases:
  • Integration with databases such as MySQL, PostgreSQL and SQLite for storage and advanced querying of accounting data.

Installation

You can easily install ledgerpy from PyPI with the following command:

pip install ledger

Usage Examples

Read and Convert a .ledger File to JSON

from ledgerpy import LedgerParser

# Create a Parser Instance
parser = LedgerParser("my_file.ledger")

# Convert the file to JSON
json_transactions = parser.to_json()
print(json_transactions)

Filter Transactions by Dates

# Get Transactions Between Two Dates
filtered_transactions = parser.get_registers_between_dates("2023/01/01", "2023/12/31")
print (filtered_transactions)

Calculate balances by account

# Parse transactions
transactions = parser. parse()

# Calculate balances
balances = parser. calculate_balances(transactions)
print(balances)

Add a new transaction

# Add a transaction to the .ledger file
parser. add_transaction(
    date="2024/01/01",
    description="Payment of services",
    accounts=[
        {"account": "Expenses:Services", "unit": "USD", "amount": 50.00},
        {"account": "Assets:Bank", "unit": "USD", "amount": -50.00},
    ])

Contribute

Contributions are welcome! If you have ideas, find bugs, or want to improve the functionality of ledgerpy, feel free to open an issue or send a pull request.

License

This project is licensed under the MIT License. This means that you can use, modify, and distribute the code freely, as long as you include the original license notice.


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