I think the main misconception is the package path vs the settings module path. In order to use django's models from an external script you need to set the DJANGO_SETTINGS_MODULE. Then, this module has to be importable (i.e. if the settings path is myproject.settings, then the statement from myproject import settings should work in a python shell).
As most projects in django are created in a path outside the default PYTHONPATH, you must add the project's path to the PYTHONPATH environment variable.
Here is a step-by-step guide to create a fully working (and minimal) Django models integration into a Scrapy project:
Note: This instructions work at the date of the last edit. If it doesn't work for you, please add a comment and describe your issue and scrapy/django versions.
The projects will be created within /home/rolando/projects directory.
Start the django project.
$ cd ~/projects
$ django-admin startproject myweb
$ cd myweb
$ ./manage.py startapp myapp
Create a model in myapp/models.py.
from django.db import models
class Person(models.Model):
name = models.CharField(max_length=32)
Add myapp to INSTALLED_APPS in myweb/settings.py.
# at the end of settings.py
INSTALLED_APPS += ('myapp',)
Set my db settings in myweb/settings.py.
# at the end of settings.py
DATABASES['default']['ENGINE'] = 'django.db.backends.sqlite3'
DATABASES['default']['NAME'] = '/tmp/myweb.db'
Create the database.
$ ./manage.py syncdb --noinput
Creating tables ...
Installing custom SQL ...
Installing indexes ...
Installed 0 object(s) from 0 fixture(s)
Create the scrapy project.
$ cd ~/projects
$ scrapy startproject mybot
$ cd mybot
Create an item in mybot/items.py.
Note: In newer versions of Scrapy, you need to install scrapy_djangoitem and use from scrapy_djangoitem import DjangoItem.
from scrapy.contrib.djangoitem import DjangoItem
from scrapy.item import Field
from myapp.models import Person
class PersonItem(DjangoItem):
# fields for this item are automatically created from the django model
django_model = Person
The final directory structure is this:
/home/rolando/projects
├── mybot
│?? ├── mybot
│?? │?? ├── __init__.py
│?? │?? ├── items.py
│?? │?? ├── pipelines.py
│?? │?? ├── settings.py
│?? │?? └── spiders
│?? │?? └── __init__.py
│?? └── scrapy.cfg
└── myweb
├── manage.py
├── myapp
│?? ├── __init__.py
│?? ├── models.py
│?? ├── tests.py
│?? └── views.py
└── myweb
├── __init__.py
├── settings.py
├── urls.py
└── wsgi.py
From here, basically we are done with the code required to use the django models in a scrapy project. We can test it right away using scrapy shell command but be aware of the required environment variables:
$ cd ~/projects/mybot
$ PYTHONPATH=~/projects/myweb DJANGO_SETTINGS_MODULE=myweb.settings scrapy shell
# ... scrapy banner, debug messages, python banner, etc.
In [1]: from mybot.items import PersonItem
In [2]: i = PersonItem(name='rolando')
In [3]: i.save()
Out[3]: <Person: Person object>
In [4]: PersonItem.django_model.objects.get(name='rolando')
Out[4]: <Person: Person object>
So, it is working as intended.
Finally, you might not want to have to set the environment variables each time you run your bot. There are many alternatives to address this issue, although the best it is that the projects' packages are actually installed in a path set in PYTHONPATH.
This is one of the simplest solutions: add this lines to your mybot/settings.py file to set up the environment variables.
# Setting up django's project full path.
import sys
sys.path.insert(0, '/home/rolando/projects/myweb')
# Setting up django's settings module name.
# This module is located at /home/rolando/projects/myweb/myweb/settings.py.
import os
os.environ['DJANGO_SETTINGS_MODULE'] = 'myweb.settings'
# Since Django 1.7, setup() call is required to populate the apps registry.
import django; django.setup()
Note: A better approach to the path hacking is to have setuptools-based setup.py files in both projects and run python setup.py develop which will link your project path into the python's path (I'm assuming you use virtualenv).
That is enough. For completeness, here is a basic spider and pipeline for a fully working project:
Create the spider.
$ cd ~/projects/mybot
$ scrapy genspider -t basic example example.com
The spider code:
# file: mybot/spiders/example.py
from scrapy.spider import BaseSpider
from mybot.items import PersonItem
class ExampleSpider(BaseSpider):
name = "example"
allowed_domains = ["example.com"]
start_urls = ['http://www.example.com/']
def parse(self, response):
# do stuff
return PersonItem(name='rolando')
Create a pipeline in mybot/pipelines.py to save the item.
class MybotPipeline(object):
def process_item(self, item, spider):
item.save()
return item
Here you can either use item.save() if you are using the DjangoItem class or import the django model directly and create the object manually. In both ways the main issue is to define the environment variables so you can use the django models.
Add the pipeline setting to your mybot/settings.py file.
ITEM_PIPELINES = {
'mybot.pipelines.MybotPipeline': 1000,
}
Run the spider.
$ scrapy crawl example
