Django Data Importer

Django Data Importer is a tool which allow you to transform easily a CSV, XML, XLS and XLSX file into a python object or a django model instance. It is based on the django-style declarative model.

Features

• Support to Django Customer User
• (beta) QuerysetToWorkbook
• Ignore empty line
• Accept custom clean_fields
• Accept post_clean
• Accept post_save
• Accept post_save_all_lines
• Accept pre_clean
• Accept pre_commit
• Accept save with transaction
• Auto generate async importers
• Auto Importer CSV
• Auto Importer XLS
• Auto Importer XLSX
• Auto Importer XML
• Check import status on Django Admin
• Convert text values by default as unicode
• Default FormView
• Django Admin integration to download files in File History
• Easy interface to create Importers
• Easy interface to create Readers
• File History integrated with FormView
• GenericImporter to import files (CSV, XLS, XLSX, XML)
• Get fields from Django Models
• Ignore First Row
• Integrated with Celery
• Integrated with Django Models
• Integrated with Django Models Validators
• Open file to read
• Read source as File, cStringIO, Text, FileField
• Set starting_row
• Set XLS/XLSX importer by sheet_index
• Set XLS/XLSX importer by sheet_name
• Support to user a JSON descriptor with Fields
• Fields as OrderedDict with text position

Installation

Use either easy_install:

easy_install data-importer

or pip:

pip install data-importer

Settings

Customize data_importer decoders

DATA_IMPORTER_EXCEL_DECODER
Default value is cp1252

DATA_IMPORTER_DECODER
Default value is UTF-8

Add support to South Migrations and Django Migrations

    SOUTH_MIGRATION_MODULES = {
        'data_importer': 'data_importer.south_migrations',
    }

    MIGRATION_MODULES = {
        'data_importer': 'data_importer.django_migrations'
    }

Basic example

Consider the following:

>>> from data_importer.importers import CSVImporter
>>> class MyCSVImporterModel(CSVImporter):
...     fields = ['name', 'age', 'length']
...     class Meta:
...         delimiter = ";"

You declare a MyCSVImporterModel which will match to a CSV file like this:

Anthony;27;1.75

To import the file or any iterable object, just do:

>>> my_csv_list = MyCSVImporterModel(source="my_csv_file_name.csv")
>>> row, first_line = my_csv_list.cleaned_data[0]
>>> first_line['age']
27

Without an explicit declaration, data and columns are matched in the same order:

Anthony --> Column 0 --> Field 0 --> name
27      --> Column 1 --> Field 1 --> age
1.75    --> Column 2 --> Field 2 --> length

Using Fields as Dict

You can use diferents ways to define the fields as dicts

>>> class TestMetaDict(XLSImporter):
...     fields = OrderedDict((
...         ('business_place', 'A'),
...         ('doc_number', 'b'),
...         ('doc_data', 'C'),
...     ))

or

>>> class TestMetaDict(XLSImporter):
...     fields = OrderedDict((
...         ('business_place', 0),
...         ('doc_number', 1),
...         ('doc_data', 2),
...     ))

or

>>> class TestMetaDict(XLSImporter):
...     fields = OrderedDict((
...         ('business_place', '0'),
...         ('doc_number', 1,)
...         ('doc_data', 'C'),
...     ))

Using declaration, data and columns are matched in the same order:

New York   --> Column 0 --> Field 0 --> business_place
664736     --> Column 1 --> Field 1 --> doc_number
2015-01-01 --> Column 2 --> Field 2 --> doc_data

Django Model

If you now want to interact with a django model, you just have to add a Meta.model option to the class meta.

>>> from django.db import models
>>> class MyModel(models.Model):
...     name = models.CharField(max_length=150)
...     age = models.CharField(max_length=150)
...     length = models.CharField(max_length=150)

>>> from data_importer.importers import CSVImporter
>>> from data_importer.model import MyModel
>>> class MyCSVImporterModel(CSVImporter):
...     class Meta:
...         delimiter = ";"
...         model = MyModel

That will automatically match to the following django model.

The django model should be imported in the model

delimiter
define the delimiter of the csv file.
If you do not set one, the sniffer will try yo find one itself.

ignore_first_line
Skip the first line if True.

model
If defined, the importer will create an instance of this model.

raise_errors
If set to True, an error in a imported line will stop the loading.

exclude
Exclude fields from list fields to import

transaction
Use transaction to save objects

Django XML

If you now want to interact with a django model, you just have to add a Meta.model option to the class meta.

XML file example:

<encspot>
    <file>
        <Name>Rocky Balboa</Name>
        <Age>40</Age>
        <Height>1.77</Height>
    </file>
    <file>
        <Name>Chuck Norris</Name>
        <Age>73</Age>
        <Height>1.78</Height>
    </file>
</encspot>

>>> from django.db import models
>>> class MyModel(models.Model):
...     name = models.CharField(max_length=150)
...     age = models.CharField(max_length=150)
...     height = models.CharField(max_length=150)

>>> from data_importer.importers import XMLImporter
>>> from data_importer.model import MyModel
>>> class MyCSVImporterModel(XMLImporter):
...     root = 'file'
...     class Meta:
...         model = MyModel

That will automatically match to the following django model.

The django model should be imported in the model

model
If defined, the importer will create an instance of this model.

raise_errors
If set to True, an error in a imported line will stop the loading.

exclude
Exclude fields from list fields to import

transaction
Use transaction to save objects

Django XLS/XLSX

My XLS/XLSX file can be imported too

Header1	Header2	Header3	Header4
Teste 1	Teste 2	Teste 3	Teste 4
Teste 1	Teste 2	Teste 3	Teste 4

This is my model

>>> from django.db import models
>>> class MyModel(models.Model):
...     header1 = models.CharField(max_length=150)
...     header2 = models.CharField(max_length=150)
...     header3 = models.CharField(max_length=150)
...     header4 = models.CharField(max_length=150)

This is my class

>>> from data_importer import XLSImporter
>>> from data_importer.model import MyModel
>>> class MyXLSImporterModel(XLSImporter):
...     class Meta:
...         model = MyModel

If you are using XLSX you will need use XLSXImporter to made same importer

>>> from data_importer import XLSXImporter
>>> from data_importer.model import MyModel
>>> class MyXLSXImporterModel(XLSXImporter):
...     class Meta:
...         model = MyModel

ignore_first_line
Skip the first line if True.

model
If defined, the importer will create an instance of this model.

raise_errors
If set to True, an error in a imported line will stop the loading.

exclude
Exclude fields from list fields to import

transaction
Use transaction to save objects

Descriptor

Using file descriptor to define fields for large models.

import_test.json

{
  'app_name': 'mytest.Contact',
    {
    // field name / name on import file or key index
    'name': 'My Name',
    'year': 'My Year',
    'last': 3
    }
}

model.py

class Contact(models.Model):
    name = models.CharField(max_length=50)
    year = models.CharField(max_length=10)
    laster = models.CharField(max_length=5)
    phone = models.CharField(max_length=5)
    address = models.CharField(max_length=5)
    state = models.CharField(max_length=5)

importer.py

class MyImpoter(BaseImpoter):
    class Meta:
        config_file = 'import_test.json'
        model = Contact
        delimiter = ','
        ignore_first_line = True

content_file.csv

name,year,last
Test,12,1
Test2,13,2
Test3,14,3

Default DataImporterForm

DataImporterForm is one django.views.generic.edit.FormView to save file in FileUpload and parse content on success.

Example

class DataImporterCreateView(DataImporterForm):
    extra_context = {'title': 'Create Form Data Importer',
                     'template_file': 'myfile.csv'
                    }
    importer = MyCSVImporterModel

TEST

Acentuation with XLS	Excel MAC 2011	OK
Acentuation with XLS	Excel WIN 2010	OK
Acentuation with XLSX	Excel MAC 2011	OK
Acentuation with XLSX	Excel WIN 2010	OK
Acentuation with CSV	Excel Win 2010	OK

Python	3.4+
Python	2.7+
Django	1.8+