Difference between revisions of "Pynomina/ledger"

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(Created page with "= pynomina Ledger Model = == Ledger Model == The pynomina ledger model consists of four main classes: Book, Account, Transaction, and Split. These classes work together to...")
 
 
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= pynomina Ledger Model =
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see also https://github.com/WolfgangFahl/pynomina/issues/3
 
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= Models and Fileformats =
 
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== Ledger Book ==
 
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The pynomina Ledger Book model consists of four main classes:  
== Ledger Model ==
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* Book
The pynomina ledger model consists of four main classes: Book, Account, Transaction, and Split. These classes work together to represent a comprehensive financial ledger system.
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* Account
 +
* Transaction
 +
* Split
 +
These are the necessary classes which work together to represent a comprehensive financial ledger records.
  
 
=== Class Structure ===
 
=== Class Structure ===
[[File:https://diagrams.bitplan.com/render/png/0xfec2cab6.png|thumb|right|400px|Ledger module Class Diagram]]
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https://diagrams.bitplan.com/render/png/0xfec2cab6.png
  
 
==== Book ====
 
==== Book ====
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==== Account ====
 
==== Account ====
The Account class represents individual financial accounts within the ledger. It includes:
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The Account class represents a hierarchy of individual financial accounts within the ledger. It includes:
 
* account_id: Unique identifier for the account
 
* account_id: Unique identifier for the account
 
* name: Human-readable account name
 
* name: Human-readable account name
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==== Transaction ====
 
==== Transaction ====
 
The Transaction class represents individual financial transactions. It includes:
 
The Transaction class represents individual financial transactions. It includes:
* isodate: Date of the transaction
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* isodate: Date of the transaction in International Standards Organization date format yyyy-mm-dd
 
* description: Description of the transaction
 
* description: Description of the transaction
 
* splits: List of Split objects representing the movement of money
 
* splits: List of Split objects representing the movement of money
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== Example Data ==
 
== Example Data ==
 
Here's an example of how the ledger model is used in practice:
 
Here's an example of how the ledger model is used in practice:
 
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=== Yaml Format ===
<pre>
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<source lang='yaml'>
 
owner: Wolfgang Fahl
 
owner: Wolfgang Fahl
 
url: https://github.com/WolfgangFahl/pynomina/blob/main/nomina_examples/expenses2024.yaml
 
url: https://github.com/WolfgangFahl/pynomina/blob/main/nomina_examples/expenses2024.yaml
Line 91: Line 94:
 
         account_id: Expenses:Dining
 
         account_id: Expenses:Dining
 
         memo: 4 whole grain buns
 
         memo: 4 whole grain buns
</pre>
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</source>
  
 
== Implementation ==
 
== Implementation ==
The ledger model is implemented in Python, utilizing dataclasses and type hinting for clear and maintainable code. The `@lod_storable` decorator is used to enable easy serialization and deserialization of the data.
+
The ledger model is implemented in Python, utilizing dataclasses and type hinting for clear and maintainable code.  
 
+
The `@lod_storable` decorator is used to enable easy serialization and deserialization of the data in YAML and/or JSON and other formats.
=== Testing ===
+
The core idea is that the records should be readily available an tabular "list of dicts (lod)" format.
The implementation includes comprehensive tests to ensure the correct functioning of the ledger model. Here's an example test case:
 
 
 
<pre>
 
class Test_Ledger(Basetest):
 
    def setUp(self, debug=True, profile=True):
 
        Basetest.setUp(self, debug=debug, profile=profile)
 
        self.examples = NominaExample.get_examples()
 
 
 
    def test_ledger(self):
 
        for name, example in self.examples.items():
 
            with self.subTest(f"Testing {name}"):
 
                ledger_book = Book.load_from_yaml_file(f"{example.example_path}/{name}.yaml")
 
                stats = ledger_book.get_stats()
 
                if self.debug:
 
                    print(stats)
 
                self.assertEqual(stats, example.expected_stats)
 
</pre>
 
 
 
== Conclusion ==
 
The pynomina ledger model provides a flexible and robust foundation for personal accounting. Its design allows for easy data interchange, long-term readability, and integration with larger financial management systems.
 
 
 
== See Also ==
 
* [https://github.com/WolfgangFahl/pynomina GitHub Repository]
 
* [https://pypi.org/project/pynomina/ PyPI Package]
 
* [https://WolfgangFahl.github.io/pynomina/ API Documentation]
 
 
 
[[Category:Personal Finance]]
 
[[Category:Accounting Software]]
 
[[Category:Open Source Projects]]
 

Latest revision as of 14:05, 6 October 2024

see also https://github.com/WolfgangFahl/pynomina/issues/3

Models and Fileformats

Ledger Book

The pynomina Ledger Book model consists of four main classes:

  • Book
  • Account
  • Transaction
  • Split

These are the necessary classes which work together to represent a comprehensive financial ledger records.

Class Structure

0xfec2cab6.png

Book

The Book class represents the main container for all financial data. It includes:

  • Basic information: name, owner, creation date, and source URL
  • Collections of accounts and transactions
  • Methods for managing accounts and transactions, including:
    • get_stats(): Retrieves statistics about the book
    • filter(): Filters transactions by date range
    • create_account(): Creates a new account
    • add_account(): Adds an account to the book
    • lookup_account(): Finds an account by ID

Account

The Account class represents a hierarchy of individual financial accounts within the ledger. It includes:

  • account_id: Unique identifier for the account
  • name: Human-readable account name
  • account_type: Type of account (e.g., EXPENSE, INCOME)
  • description: Optional account description
  • currency: Account currency (default: EUR)
  • parent_account_id: Optional parent account for hierarchical structure

Transaction

The Transaction class represents individual financial transactions. It includes:

  • isodate: Date of the transaction in International Standards Organization date format yyyy-mm-dd
  • description: Description of the transaction
  • splits: List of Split objects representing the movement of money
  • payee: Optional payee information
  • memo: Optional additional notes
  • total_amount(): Method to calculate the total transaction amount

Split

The Split class represents the individual components of a transaction, showing how money moves between accounts. It includes:

  • amount: The amount of money involved in the split
  • account_id: The account associated with this part of the transaction
  • memo: Optional notes for this split
  • reconciled: Boolean indicating if the split has been reconciled

Example Data

Here's an example of how the ledger model is used in practice:

Yaml Format

owner: Wolfgang Fahl
url: https://github.com/WolfgangFahl/pynomina/blob/main/nomina_examples/expenses2024.yaml
since: 2024-10-06
accounts:
  Expenses:
    account_id: Expenses
    name: Expenses
    account_type: EXPENSE
    description: 'General Expenses'
    currency: EUR
  Expenses:Food:
    account_id: Expenses:Food
    name: Dining
    account_type: EXPENSE
    description: 'Expenses for Food'
    currency: EUR
    parent_account_id: Expenses
  Cash in wallet:
    account_id: Wallet
    name: Cash in Wallet
    account_type: EXPENSE
    description: ''
    currency: EUR
transactions:
  Bakery2024-10-06_0900_1:
    isodate: '2024-10-06'
    description: Bread
    splits:
      - amount: -3.50
        account_id: Cash in Wallet
      - amount: 3.50
        account_id: Expenses:Dining
        memo: Fresh sourdough bread
  Bakery2024-10-06_0900_2:
    isodate: '2024-10-06'
    description: Buns for Breakfast
    splits:
      - amount: -2.40
        account_id: Cash in Wallet
      - amount: 2.40
        account_id: Expenses:Dining
        memo: 4 whole grain buns

Implementation

The ledger model is implemented in Python, utilizing dataclasses and type hinting for clear and maintainable code. The `@lod_storable` decorator is used to enable easy serialization and deserialization of the data in YAML and/or JSON and other formats. The core idea is that the records should be readily available an tabular "list of dicts (lod)" format.