django-dataio 0.0.1

A Django utility for importing and exporting model data.

django-dataio

django-dataio is a Django utility package for data import and export.
It allows you to easily export your Django model data into Excel, CSV, JSON, etc., and import data from these formats back into your models.

Installation

    pip install django-dataio

Features

• Export Django models using configurable fields.
• Import data into Django models from Excel (and more formats in the future).
• Extensible architecture: add your own exporters/importers.

How to Use

django-dataio provides a mixin DjangoDataIOModelMixin that allows your Django models to export and import data based on configurable fields (ModelField).

You simply inherit the mixin in your model and define ModelField entries for the fields you want to manage.

1. Add DjangoDataIOModelMixin to your model

from django.db import models
from django_dataio.mixins import DjangoDataIOModelMixin

class Customer(DjangoDataIOModelMixin, models.Model): # -> Here!
    first_name = models.CharField(max_length=50)
    last_name = models.CharField(max_length=50)
    email = models.EmailField(unique=True)

2. Register fields in ModelField

from django.contrib.contenttypes.models import ContentType
from django_dataio.models import ModelField
from my_app.models import Customer

customer_type = ContentType.objects.get_for_model(Customer)

ModelField.objects.create(name="first_name", model=customer_type, xp=1)
ModelField.objects.create(name="last_name", model=customer_type, xp=2)
ModelField.objects.create(name="email", model=customer_type, xp=3)

# xp is the position/order of the field in export/import files.

3. Export data

from pathlib import Path
from my_app.models import Customer

# Export all customers to Excel
file_path: Path = Customer.data_export('excel')
print(f"Exported file: {file_path}")

4. Import data

from pathlib import Path
from my_app.models import Customer

file_to_import = Path("/tmp/customers.xlsx")

# Import data back into the model
imported_count = Customer.data_import(file_to_import, import_name='excel')
print(f"{imported_count} records imported")

---

You can add custom exporters or importers by subclassing the base classes:

from django_dataio.handlers.imports import BaseImporter
from django_dataio.handlers.exports import BaseExporter

class CSVExporter(BaseExporter):
    ...

class CSVImporter(BaseImporter):
    ...

Check the Export | Import handlers implementation for details.

---

TODO / Update