Metadata-Version: 1.1
Name: elv
Version: 1.0.4
Summary: Parser and query API for bank CSV account transactions
Home-page: https://github.com/cslarsen/elv
Author: Christian Stigen Larsen
Author-email: csl@csl.name
License: https://www.gnu.org/licenses/agpl-3.0.html
Download-URL: https://github.com/cslarsen/elv/tarball/1.0.4
Description: Elv
        ===
        
        .. image:: https://pypip.in/wheel/elv/badge.svg
            :target: https://pypi.python.org/pypi/elv/
            :alt: Wheel Status
        
        Elv is a small module for parsing bank transactions from CSV files and
        performing queries on the data.
        
        It currently only supports one bank, Jæren Sparebank, but I'll add support for
        other banks whenever I get an example dump of their format.  Send pull requests
        if you have them at `https://github.com/cslarsen/elv/
        https://github.com/cslarsen/elv`__.
        
        Features
        --------
        
          * Parses CSV file from bank containing transactions
        
          * Money is stored in exact decimals
        
          * Contains a simple Python query API for sorting through large collections of
            transactions.
        
          * Can optionally put transactions in an in-memory SQLite3 database for even
            better queries.
        
        
        Elevator pitch
        --------------
        ::
            >>> import elv
            >>> trans = elv.parse("export.csv")
            >>> trans
            <Transactions:400 items from 2009-01-27 to 2014-09-29>
            >>> trans[0].amount
            Decimal('-2677.00')
        
        Norwegian short description
        ---------------------------
        
        Elv er en Python modul for å lese banktransaksjoner eksportert fra
        banken din som en CSV-fil. Foreløpig er det kun Jæren Sparebank som jeg
        *vet* er støttet, men du kan nok ganske enkelt legge til lesere for
        andre format.  Send meg gjerne eksempler på andre format!
        
        Instructions for Jæren Sparebank
        --------------------------------
        
        Use the "export data" feature in the online bank, and you should be able
        to parse the file using Elv.  I've seen other online banks having similar
        features, so please send me examples of other formats and I'll add them.
        
        Installation
        ------------
        
        You can install from ``setup.py``::
        
            $ python setup.py install # you may have to run as sudo
        
        or from PyPI::
        
            $ pip install elv
        
        Example usage
        -------------
        
        If you have the bank account transactions in a file called ``data.csv``, you
        can simply do::
        
            $ python
            >>> import elv
            >>> transactions = elv.parse("data.csv")
            >>> transactions
            <Transactions:400 items from 2009-01-27 to 2014-09-29>
            >>> transactions[0]
            <Transaction:2014-09-29 2014-09-29 -2677.00  29519.13 'Vacation'>
            >>> transactions[0].xfer
            datetime.date(2014, 9, 29)
            >>> transactions[0].posted
            datetime.date(2014, 9, 29)
            >>> transactions[0].amount
            Decimal('-2677.00')
        
        You can also get an in-memory SQLite3 database by doing::
        
            >>> db = transactions.to_sqlite3()
            >>> db
            <sqlite3.Connection object at 0x10f31e200>
            >>> db.execute("SELECT * FROM Transactions").next()
            (0, datetime.date(2014, 9, 29), datetime.date(2014, 9, 29),
             u'Vacation', Decimal('-2677'), Decimal('29519.13'))
        
        The CSV File Format
        -------------------
        
        The CSV file should be a plain text file with the
        `ISO-8859-1 <https://en.wikipedia.org/wiki/ISO/IEC_8859-1>`__ encoding
        (aka Latin1). It looks like this:
        
        ::
        
            "31-12-2014";"31-12-2014";"Test 1";"-497,78";"5.520,09"
            "30-12-2014";"31-12-2014";"Test 2";"-100,00";"6.017,87"
            "30-12-2014";"31-12-2014";"Test 3 --æøåÆØÅ--";"-145,47";"6.117,87"
            "30-12-2014";"30-12-2014";"Test 4";"-457,24";"6.263,34"
            "29-12-2014";"29-12-2014";"Test 5";"-108,30";"6.720,58"
        
        The fields are as follows:
        
        -  Date when the transaction was placed, in format ``"DD-MM-YYYY"``.
        -  Date when the transaction was posted ("bokført").
        -  A message associated with the transaction, set by the one making the
           transaction.
        -  The amount deposited or deducted from the account in `NOK (Norwegian
           kroner) <https://en.wikipedia.org/wiki/Norwegian_krone>`__ in format
           ``"-123,45"``, always two decimals and an optional sign.
        -  The balance of your account after this transaction was completed.
        
        The file itself contains no headers, and can contain many such
        transactions, one per line.
        
        License
        =======
        
        Copyright (C) 2015 Christian Stigen Larsen
        
        Licensed under AGPL v3 or later; see
        http://www.gnu.org/licenses/agpl-3.0.html
        
Keywords: bank,csv,transaction,transactions,money,sparebank,finance
Platform: unix
Platform: linux
Platform: osx
Platform: cygwin
Platform: win32
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: Implementation :: PyPy
