Skip to main content

A Django application that provides Indonesian bank choices for use with forms and a country field for models.

Installation

  1. Run pip install p1-bank

  2. Add 'bank' to INSTALLED_APPS in settings.py

  3. Run python manage.py migrate to create banks models

Bank Model

A model of bank that holds all banks in Indonesia.

Supports long name, short name, bank code, and branch code.

>>> from django.apps import apps
>>> Bank = apps.get_model('bank', 'Bank')
>>> bank = Bank.objects.get(short_name='BANK BCA')
>>> bank.long_name
u'PT. BANK CENTRAL ASIA TBK.'
>>> bank.short_name
u'BANK BCA'
>>> bank.bank_code
u'014'
>>> bank.branch_code
u'0397'
>>> bank.bi_code
u'0140397'

It is possible to get a bank object from bi code:

>>> Bank.objects.get_by_bi_code('0140397')
<Bank: BANK BCA>

or upsert (update or create) from list with header:

>>> Bank.objects.get(bank_code='200')
<Bank: BANK BTN>
>>> bank_list = [
        ['bank_code', 'short_name'],
        ['200', 'BTN']
    ]
>>> Bank.objects.upsert_from_list_with_header(bank_list)
>>> Bank.objects.get(bank_code='200')
<Bank: BTN>

Bank Field

BankField is based on Django’s ForeignKey, a relationship to Bank model.

Consider an Account model using a BankField:

from django.db import models
from p1_bank.fields import BankField

class Account(models.Model):
    name = models.CharField(max_length=100)
    bank = BankField(related_name='accounts')

Any Account instance will have a bank attribute that you can use to identify account’s bank:

>>> bank = Bank.objects.get(short_name='BANK BCA')
>>> account = Account.objects.create(name='Kania', bank=bank)
>>> account.bank
'BANK BCA'
>>> account.bank.code
'014'

Bank Factories

You may use bank factories to support your test (requires factory_boy)

>>> from bank.factories import BankFactory
>>> BankFactory()
<Bank: Bank X00>
>>> BankFactory()
<Bank: Bank X01>
>>> bank301 = BankFactory(bank_code='301')
>>> bank301.bank_code
'301'

Metadata

Release files for p1-bank 0.2.36161922

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for p1-bank 0.2.36161922
File Size Uploaded
p1-bank-0.2.36161922.tar.gz 9.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for p1-bank 0.2.36161922
File Interpreter ABI Platform
p1_bank-0.2.36161922-py2-none-any.whl Python 2 none any Details

Total release size: 21.8 kB

Release files / p1-bank-0.2.36161922.tar.gz

Download URL p1-bank-0.2.36161922.tar.gz
Size 9.8 kB
Tags Source
SHA-256 checksum
How to use checksums
dc6fc501f1fdaabe6a496d7682d827b104f1c61bf86d10eda9c6a4b09c44dd9e
BLAKE2b-256 checksum
How to use checksums
956b4326d78c1d0f1e3a32359e0d9e9d8acee02544f3b87c87819a51d99180a4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/2.7.15

Release files / p1_bank-0.2.36161922-py2-none-any.whl

Download URL p1_bank-0.2.36161922-py2-none-any.whl
Size 12.0 kB
Tags Python 2
SHA-256 checksum
How to use checksums
f970dfcbb4f3c7be7e186016f3a6063853583c0b781ac4f526fa00345a2fd50e
BLAKE2b-256 checksum
How to use checksums
ab2aa69e9a062a9063fa7fc91962bf877ad0d8eafe77ed442f59095af2d72f1a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/2.7.15
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page