getting_started.rst

Getting started

For example purposes, we'll be use simplified book app, here is our core.models.py:

class Author(models.Model):
    name = models.CharField(max_length=100)

    def __unicode__(self):
        return self.name


class Category(models.Model):
    name = models.CharField(max_length=100)

    def __unicode__(self):
        return self.name


class Book(models.Model):
    name = models.CharField('Book name', max_length=100)
    author = models.ForeignKey(Author, blank=True, null=True)
    author_email = models.EmailField('Author email', max_length=75, blank=True)
    imported = models.BooleanField(default=False)
    published = models.DateField('Published', blank=True, null=True)
    price = models.DecimalField(max_digits=10, decimal_places=2, null=True,
            blank=True)
    categories = models.ManyToManyField(Category, blank=True)

    def __unicode__(self):
        return self.name

Creating import-export resource

To integrate django-import-export with Book model, we will create resource class that will describe how this resource can be imported or exported.

from import_export import resources
from core.models import Book


class BookResource(resources.ModelResource):

    class Meta:
        model = Book

Exporting data

Now that we have defined resource class, we can export books:

>>> dataset = BookResource().export()
>>> print dataset.csv
id,name,author,author_email,imported,published,price,categories
2,Some book,1,,0,2012-12-05,8.85,1

Customize resource options

By default ModelResource introspects model fields and creates import_export.fields.Field attribute with appopriate widget for each field.

To affect which model fields will be included in import-export resource, use fields option to whitelist fields or exclude option for to blacklist fields:

class BookResource(resources.ModelResource):

    class Meta:
        model = Book
        exclude = ('imported', )

When defining ModelResource fields it is possible to follow model relationships:

class BookResource(resources.ModelResource):

    class Meta:
        model = Book
        fields = ('author__name',)

Note

Following relationship fields sets field as readonly, meaning this field will be skipped when importing data.

.. seealso::

    :doc:`/api_resources`

Declaring fields

It is possible to override resource fields to change some of it's options:

from import_export import fields

class BookResource(resources.ModelResource):
    published = fields.Field(column_name='published_date')

    class Meta:
        model = Book

Other fields, that are not existing in target model may be added:

from import_export import fields

class BookResource(resources.ModelResource):
    myfield = fields.Field(column_name='myfield')

    class Meta:
        model = Book

.. seealso::

    :doc:`/api_fields`
        Available field types and options.

Advanced data manipulation

Not all data can be easily pull off an object/model attribute. In order to turn complicated data model into a (generally simpler) processed data structure, dehydrate_<fieldname> method should be defined:

from import_export import fields

class BookResource(resources.ModelResource):
    full_title = fields.Field()

    class Meta:
        model = Book

    def dehydrate_full_title(self, book):
        return '%s by %s' % (book.name, book.name.author)

Customize widgets

ModelResource creates field with default widget for given field type. If widget should be initialized with different arguments, set widgets dict.

In this example widget for published field is overriden to use different date format. This format will be used both for importing and exporting resource.

class BookResource(resources.ModelResource):

    class Meta:
        model = Book
        widgets = {
                'published': {'format': '%d.%m.%Y'},
                }

.. seealso::

    :doc:`/api_widgets`
        available widget types and options.

Importing data

Let's import data:

>>> import tablib
>>> from import_export import resources
>>> from core.models import Book
>>> book_resource = resources.modelresource_factory(model=Book)()
>>> dataset = tablib.Dataset(['', 'New book'], headers=['id', 'name'])
>>> result = book_resource.import_data(dataset, dry_run=True)
>>> print result.has_errors()
False
>>> result = book_resource.import_data(dataset, dry_run=False)

In 4th line we use modelresource_factory to create default ModelResource. ModelResource class created this way is equal as in :ref:`base-modelresource`.

In 5th line Dataset with subset of Book fields is created.

In rest of code we first pretend to import data with dry_run set, then check for any errors and import data.

.. seealso::

    :doc:`/import_workflow`
        for detailed import workflow descripton and customization options.

Deleting data

To delete objects during import, implement for_delete method on resource class.

Example resource with delete field:

class BookResource(resources.ModelResource):
    delete = fields.Field(widget=widgets.BooleanWidget())

    def for_delete(self, row, instance):
        return self.fields['delete'].clean(row)

    class Meta:
        model = Book

Import of this resource will delete model instances for rows that have column delete set to 1.

Admin integration

Admin integration is achived by subclassing ImportExportModelAdmin or one of mixins:

from import_export.admin import ImportExportModelAdmin


class BookAdmin(ImportExportModelAdmin):
    resource_class = BookResource
    pass

A screenshot of the change view with Import and Export buttons.

A screenshot of the import view.

A screenshot of the confirm import view.

.. seealso::

    :doc:`/api_admin`
        available mixins and options.