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9
.gitignore vendored
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*.pyc *.pyc
.DS_Store .DS_Store
.tox .tox
.idea
.vscode
MANIFEST MANIFEST
build build
dist dist
/tests/media/* /tests/media
!/tests/media/reference.png
/venv
/venv3
/.env
/tags

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sudo: false
language: python
python:
- "3.8"
- "3.7"
- "3.6"
- "3.5"
env:
- DJANGO="master"
- DJANGO="30"
- DJANGO="22"
- DJANGO="21"
- DJANGO="21"
- DJANGO="20"
- DJANGO="111"
install:
- pip install tox
script:
- tox -e py$(python -c 'import sys;print("".join(map(str, sys.version_info[:2])))')-django${DJANGO}
jobs:
fast_finish: true
allow_failures:
- env: DJANGO="master"
exclude:
- python: "3.5"
env: DJANGO="30"
- python: "3.5"
env: DJANGO="master"
notifications:
irc: "irc.freenode.org#imagekit"

17
AUTHORS
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@ -1,18 +1,17 @@
ImageKit was originally written by `Justin Driscoll`_. ImageKit was originally written by `Justin Driscoll`_.
The field-based API and other post-1.0 stuff was written by the bright people at The field-based API was written by the bright minds at HZDG_.
HZDG_.
Maintainers Maintainers
----------- ~~~~~~~~~~~
* `Matthew Tretter`_
* `Bryan Veloso`_ * `Bryan Veloso`_
* `Matthew Tretter`_
* `Chris Drackett`_ * `Chris Drackett`_
* `Greg Newman`_ * `Greg Newman`_
Contributors Contributors
------------ ~~~~~~~~~~~~
* `Josh Ourisman`_ * `Josh Ourisman`_
* `Jonathan Slenders`_ * `Jonathan Slenders`_
@ -25,10 +24,6 @@ Contributors
* `Madis Väin`_ * `Madis Väin`_
* `Jan Sagemüller`_ * `Jan Sagemüller`_
* `Clay McClure`_ * `Clay McClure`_
* `Jannis Leidel`_
* `Sean Bell`_
* `Saul Shanabrook`_
* `Venelin Stoykov`_
.. _Justin Driscoll: http://github.com/jdriscoll .. _Justin Driscoll: http://github.com/jdriscoll
.. _HZDG: http://hzdg.com .. _HZDG: http://hzdg.com
@ -47,7 +42,3 @@ Contributors
.. _Madis Väin: http://github.com/madisvain .. _Madis Väin: http://github.com/madisvain
.. _Jan Sagemüller: https://github.com/version2 .. _Jan Sagemüller: https://github.com/version2
.. _Clay McClure: https://github.com/claymation .. _Clay McClure: https://github.com/claymation
.. _Jannis Leidel: https://github.com/jezdez
.. _Sean Bell: https://github.com/seanbell
.. _Saul Shanabrook: https://github.com/saulshanabrook
.. _Venelin Stoykov: https://github.com/vstoykov

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Contributing
------------
We love contributions! These guidelines will help make sure we can get your
contributions merged as quickly as possible:
1. Write `good commit messages`__!
2. If you want to add a new feature, talk to us on the `mailing list`__ or
`IRC`__ first. We might already have plans, or be able to offer some advice.
3. Make sure your code passes the tests that ImageKit already has. To run the
tests, first install tox, ``pip install tox``, then use ``tox``. This will let you know about any errors or style
issues.
4. While we're talking about tests, creating new ones for your code makes it
much easier for us to merge your code quickly. ImageKit uses nose_, so
writing tests is painless. Check out `ours`__ for examples.
5. It's a good idea to do your work in a branch; that way, you can work on more
than one contribution at a time without making them interdependent.
__ http://tbaggery.com/2008/04/19/a-note-about-git-commit-messages.html
__ https://groups.google.com/forum/#!forum/django-imagekit
__ irc://irc.freenode.net/imagekit
.. _nose: https://nose.readthedocs.org/en/latest/
__ https://github.com/matthewwithanm/django-imagekit/tree/develop/tests

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include AUTHORS include AUTHORS
include LICENSE include LICENSE
include README.rst include README.rst
include testrunner.py recursive-include docs *
include setup.cfg recursive-include imagekit/templates *
include tests/*.py
include tests/assets/Lenna.png
include tests/assets/lenna-*.jpg
include tests/media/lenna.png
prune tests/media/CACHE
prune tests/media/b
prune tests/media/photos
include docs/Makefile
include docs/conf.py
include docs/make.bat
include docs/*.rst
recursive-include docs/_themes LICENSE README.rst flask_theme_support.py theme.conf *.css_t *.css *.html
recursive-include imagekit/templates *.html

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|Build Status|_
.. |Build Status| image:: https://travis-ci.org/matthewwithanm/django-imagekit.svg?branch=develop ImageKit is a Django app that helps you to add variations of uploaded images
.. _Build Status: https://travis-ci.org/matthewwithanm/django-imagekit to your models. These variations are called "specs" and can include things
like different sizes (e.g. thumbnails) and black and white versions.
ImageKit is a Django app for processing images. Need a thumbnail? A
black-and-white version of a user-uploaded image? ImageKit will make them for
you. If you need to programatically generate one image from another, you need
ImageKit.
ImageKit comes with a bunch of image processors for common tasks like resizing
and cropping, but you can also create your own. For an idea of what's possible,
check out the `Instakit`__ project.
**For the complete documentation on the latest stable version of ImageKit, see** **For the complete documentation on the latest stable version of ImageKit, see**
`ImageKit on RTD`_. `ImageKit on RTD`_.
.. _`ImageKit on RTD`: http://django-imagekit.readthedocs.org .. _`ImageKit on RTD`: http://django-imagekit.readthedocs.org
__ https://github.com/fish2000/instakit
Installation Installation
============ ------------
1. Install `PIL`_ or `Pillow`_. (If you're using an ``ImageField`` in Django, 1. Install `PIL`_ or `Pillow`_. If you're using an ``ImageField`` in Django,
you should have already done this.) you should have already done this.
2. ``pip install django-imagekit`` 2. ``pip install django-imagekit``
(or clone the source and put the imagekit module on your path)
3. Add ``'imagekit'`` to your ``INSTALLED_APPS`` list in your project's settings.py 3. Add ``'imagekit'`` to your ``INSTALLED_APPS`` list in your project's settings.py
.. note:: If you've never seen Pillow before, it considers itself a .. note:: If you've never seen Pillow before, it considers itself a
@ -36,355 +27,85 @@ Installation
.. _`Pillow`: http://pypi.python.org/pypi/Pillow .. _`Pillow`: http://pypi.python.org/pypi/Pillow
Usage Overview Adding Specs to a Model
============== -----------------------
.. _specs: Much like ``django.db.models.ImageField``, Specs are defined as properties
of a model class::
Specs
-----
You have one image and you want to do something to it to create another image.
But how do you tell ImageKit what to do? By defining an image spec.
An **image spec** is a type of **image generator** that generates a new image
from a source image.
Defining Specs In Models
^^^^^^^^^^^^^^^^^^^^^^^^
The easiest way to use define an image spec is by using an ImageSpecField on
your model class:
.. code-block:: python
from django.db import models from django.db import models
from imagekit.models import ImageSpecField from imagekit.models import ImageSpecField
from imagekit.processors import ResizeToFill
class Profile(models.Model): class Photo(models.Model):
avatar = models.ImageField(upload_to='avatars') original_image = models.ImageField(upload_to='photos')
avatar_thumbnail = ImageSpecField(source='avatar', formatted_image = ImageSpecField(image_field='original_image', format='JPEG',
processors=[ResizeToFill(100, 50)], options={'quality': 90})
format='JPEG',
options={'quality': 60})
profile = Profile.objects.all()[0] Accessing the spec through a model instance will create the image and return
print(profile.avatar_thumbnail.url) # > /media/CACHE/images/982d5af84cddddfd0fbf70892b4431e4.jpg an ImageFile-like object (just like with a normal
print(profile.avatar_thumbnail.width) # > 100 ``django.db.models.ImageField``)::
As you can probably tell, ImageSpecFields work a lot like Django's photo = Photo.objects.all()[0]
ImageFields. The difference is that they're automatically generated by photo.original_image.url # > '/media/photos/birthday.tiff'
ImageKit based on the instructions you give. In the example above, the avatar photo.formatted_image.url # > '/media/cache/photos/birthday_formatted_image.jpeg'
thumbnail is a resized version of the avatar image, saved as a JPEG with a
quality of 60.
Sometimes, however, you don't need to keep the original image (the avatar in Check out ``imagekit.models.ImageSpecField`` for more information.
the above example); when the user uploads an image, you just want to process it
and save the result. In those cases, you can use the ``ProcessedImageField``
class:
.. code-block:: python If you only want to save the processed image (without maintaining the original),
you can use a ``ProcessedImageField``::
from django.db import models from django.db import models
from imagekit.models import ProcessedImageField from imagekit.models.fields import ProcessedImageField
from imagekit.processors import ResizeToFill
class Profile(models.Model): class Photo(models.Model):
avatar_thumbnail = ProcessedImageField(upload_to='avatars', processed_image = ImageSpecField(format='JPEG', options={'quality': 90})
processors=[ResizeToFill(100, 50)],
format='JPEG',
options={'quality': 60})
profile = Profile.objects.all()[0] See the class documentation for details.
print(profile.avatar_thumbnail.url) # > /media/avatars/MY-avatar.jpg
print(profile.avatar_thumbnail.width) # > 100
This is pretty similar to our previous example. We don't need to specify a
"source" any more since we're not processing another image field, but we do need
to pass an "upload_to" argument. This behaves exactly as it does for Django
ImageFields.
.. note::
You might be wondering why we didn't need an "upload_to" argument for our
ImageSpecField. The reason is that ProcessedImageFields really are just like
ImageFields—they save the file path in the database and you need to run
syncdb (or create a migration) when you add one to your model.
ImageSpecFields, on the other hand, are virtual—they add no fields to your
database and don't require a database. This is handy for a lot of reasons,
but it means that the path to the image file needs to be programmatically
constructed based on the source image and the spec.
Defining Specs Outside of Models
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Defining specs as models fields is one very convenient way to process images,
but it isn't the only way. Sometimes you can't (or don't want to) add fields to
your models, and that's okay. You can define image spec classes and use them
directly. This can be especially useful for doing image processing in views—
particularly when the processing being done depends on user input.
.. code-block:: python
from imagekit import ImageSpec
from imagekit.processors import ResizeToFill
class Thumbnail(ImageSpec):
processors = [ResizeToFill(100, 50)]
format = 'JPEG'
options = {'quality': 60}
It's probably not surprising that this class is capable of processing an image
in the exact same way as our ImageSpecField above. However, unlike with the
image spec model field, this class doesn't define what source the spec is acting
on, or what should be done with the result; that's up to you:
.. code-block:: python
source_file = open('/path/to/myimage.jpg', 'rb')
image_generator = Thumbnail(source=source_file)
result = image_generator.generate()
.. note::
You don't have to use ``open``! You can use whatever File-like object you
want—including a model's ``ImageField``.
The result of calling ``generate()`` on an image spec is a file-like object
containing our resized image, with which you can do whatever you want. For
example, if you wanted to save it to disk:
.. code-block:: python
dest = open('/path/to/dest.jpg', 'wb')
dest.write(result.read())
dest.close()
Using Specs In Templates
^^^^^^^^^^^^^^^^^^^^^^^^
If you have a model with an ImageSpecField or ProcessedImageField, you can
easily use those processed image just as you would a normal image field:
.. code-block:: html
<img src="{{ profile.avatar_thumbnail.url }}" />
(This is assuming you have a view that's setting a context variable named
"profile" to an instance of our Profile model.)
But you can also generate processed image files directly in your template—from
any image—without adding anything to your model. In order to do this, you'll
first have to define an image generator class (remember, specs are a type of
generator) in your app somewhere, just as we did in the last section. You'll
also need a way of referring to the generator in your template, so you'll need
to register it.
.. code-block:: python
from imagekit import ImageSpec, register
from imagekit.processors import ResizeToFill
class Thumbnail(ImageSpec):
processors = [ResizeToFill(100, 50)]
format = 'JPEG'
options = {'quality': 60}
register.generator('myapp:thumbnail', Thumbnail)
.. note::
You can register your generator with any id you want, but choose wisely!
If you pick something too generic, you could have a conflict with another
third-party app you're using. For this reason, it's a good idea to prefix
your generator ids with the name of your app. Also, ImageKit recognizes
colons as separators when doing pattern matching (e.g. in the generateimages
management command), so it's a good idea to use those too!
.. warning::
This code can go in any file you want—but you need to make sure it's loaded!
In order to keep things simple, ImageKit will automatically try to load an
module named "imagegenerators" in each of your installed apps. So why don't
you just save yourself the headache and put your image specs in there?
Now that we've created an image generator class and registered it with ImageKit,
we can use it in our templates!
generateimage
"""""""""""""
The most generic template tag that ImageKit gives you is called "generateimage".
It requires at least one argument: the id of a registered image generator.
Additional keyword-style arguments are passed to the registered generator class.
As we saw above, image spec constructors expect a source keyword argument, so
that's what we need to pass to use our thumbnail spec:
.. code-block:: html
{% load imagekit %}
{% generateimage 'myapp:thumbnail' source=source_file %}
This will output the following HTML:
.. code-block:: html
<img src="/media/CACHE/images/982d5af84cddddfd0fbf70892b4431e4.jpg" width="100" height="50" />
You can also add additional HTML attributes; just separate them from your
keyword args using two dashes:
.. code-block:: html
{% load imagekit %}
{% generateimage 'myapp:thumbnail' source=source_file -- alt="A picture of Me" id="mypicture" %}
Not generating HTML image tags? No problem. The tag also functions as an
assignment tag, providing access to the underlying file object:
.. code-block:: html
{% load imagekit %}
{% generateimage 'myapp:thumbnail' source=source_file as th %}
<a href="{{ th.url }}">Click to download a cool {{ th.width }} x {{ th.height }} image!</a>
thumbnail
"""""""""
Because it's such a common use case, ImageKit also provides a "thumbnail"
template tag:
.. code-block:: html
{% load imagekit %}
{% thumbnail '100x50' source_file %}
Like the generateimage tag, the thumbnail tag outputs an <img> tag:
.. code-block:: html
<img src="/media/CACHE/images/982d5af84cddddfd0fbf70892b4431e4.jpg" width="100" height="50" />
Comparing this syntax to the generateimage tag above, you'll notice a few
differences.
First, we didn't have to specify an image generator id; unless we tell it
otherwise, thumbnail tag uses the generator registered with the id
"imagekit:thumbnail". **It's important to note that this tag is *not* using the
Thumbnail spec class we defined earlier**; it's using the generator registered
with the id "imagekit:thumbnail" which, by default, is
``imagekit.generatorlibrary.Thumbnail``.
Second, we're passing two positional arguments (the dimensions and the source
image) as opposed to the keyword arguments we used with the generateimage tag.
Like with the generateimage tag, you can also specify additional HTML attributes
for the thumbnail tag, or use it as an assignment tag:
.. code-block:: html
{% load imagekit %}
{% thumbnail '100x50' source_file -- alt="A picture of Me" id="mypicture" %}
{% thumbnail '100x50' source_file as th %}
Using Specs in Forms
^^^^^^^^^^^^^^^^^^^^
In addition to the model field above, there's also a form field version of the
``ProcessedImageField`` class. The functionality is basically the same (it
processes an image once and saves the result), but it's used in a form class:
.. code-block:: python
from django import forms
from imagekit.forms import ProcessedImageField
from imagekit.processors import ResizeToFill
class ProfileForm(forms.Form):
avatar_thumbnail = ProcessedImageField(spec_id='myapp:profile:avatar_thumbnail',
processors=[ResizeToFill(100, 50)],
format='JPEG',
options={'quality': 60})
The benefit of using ``imagekit.forms.ProcessedImageField`` (as opposed to
``imagekit.models.ProcessedImageField`` above) is that it keeps the logic for
creating the image outside of your model (in which you would use a normal Django
ImageField). You can even create multiple forms, each with their own
ProcessedImageField, that all store their results in the same image field.
Processors Processors
---------- ----------
So far, we've only seen one processor: ``imagekit.processors.ResizeToFill``. But The real power of ImageKit comes from processors. Processors take an image, do
ImageKit is capable of far more than just resizing images, and that power comes something to it, and return the result. By providing a list of processors to
from its processors. your spec, you can expose different versions of the original image::
Processors take a PIL image object, do something to it, and return a new one. from django.db import models
A spec can make use of as many processors as you'd like, which will all be run from imagekit.models import ImageSpecField
in order. from imagekit.processors import ResizeToFill, Adjust
.. code-block:: python class Photo(models.Model):
original_image = models.ImageField(upload_to='photos')
thumbnail = ImageSpecField([Adjust(contrast=1.2, sharpness=1.1),
ResizeToFill(50, 50)], image_field='original_image',
format='JPEG', options={'quality': 90})
from imagekit import ImageSpec The ``thumbnail`` property will now return a cropped image::
from imagekit.processors import TrimBorderColor, Adjust
class MySpec(ImageSpec): photo = Photo.objects.all()[0]
processors = [ photo.thumbnail.url # > '/media/cache/photos/birthday_thumbnail.jpeg'
TrimBorderColor(), photo.thumbnail.width # > 50
Adjust(contrast=1.2, sharpness=1.1), photo.original_image.width # > 1000
]
format = 'JPEG' The original image is not modified; ``thumbnail`` is a new file that is the
options = {'quality': 60} result of running the ``imagekit.processors.ResizeToFill`` processor on the
original. (If you only need to save the processed image, and not the original,
pass processors to a ``ProcessedImageField`` instead of an ``ImageSpecField``.)
The ``imagekit.processors`` module contains processors for many common The ``imagekit.processors`` module contains processors for many common
image manipulations, like resizing, rotating, and color adjustments. However, image manipulations, like resizing, rotating, and color adjustments. However,
if they aren't up to the task, you can create your own. All you have to do is if they aren't up to the task, you can create your own. All you have to do is
define a class that implements a ``process()`` method: implement a ``process()`` method::
.. code-block:: python
class Watermark(object): class Watermark(object):
def process(self, image): def process(self, image):
# Code for adding the watermark goes here. # Code for adding the watermark goes here.
return image return image
That's all there is to it! To use your fancy new custom processor, just include class Photo(models.Model):
it in your spec's ``processors`` list: original_image = models.ImageField(upload_to='photos')
watermarked_image = ImageSpecField([Watermark()], image_field='original_image',
.. code-block:: python format='JPEG', options={'quality': 90})
from imagekit import ImageSpec
from imagekit.processors import TrimBorderColor, Adjust
from myapp.processors import Watermark
class MySpec(ImageSpec):
processors = [
TrimBorderColor(),
Adjust(contrast=1.2, sharpness=1.1),
Watermark(),
]
format = 'JPEG'
options = {'quality': 60}
Note that when you import a processor from ``imagekit.processors``, imagekit
in turn imports the processor from `PILKit`_. So if you are looking for
available processors, look at PILKit.
.. _`PILKit`: https://github.com/matthewwithanm/pilkit
Admin Admin
@ -393,76 +114,58 @@ Admin
ImageKit also contains a class named ``imagekit.admin.AdminThumbnail`` ImageKit also contains a class named ``imagekit.admin.AdminThumbnail``
for displaying specs (or even regular ImageFields) in the for displaying specs (or even regular ImageFields) in the
`Django admin change list`_. AdminThumbnail is used as a property on `Django admin change list`_. AdminThumbnail is used as a property on
Django admin classes: Django admin classes::
.. code-block:: python
from django.contrib import admin from django.contrib import admin
from imagekit.admin import AdminThumbnail from imagekit.admin import AdminThumbnail
from .models import Photo from .models import Photo
class PhotoAdmin(admin.ModelAdmin): class PhotoAdmin(admin.ModelAdmin):
list_display = ('__str__', 'admin_thumbnail') list_display = ('__str__', 'admin_thumbnail')
admin_thumbnail = AdminThumbnail(image_field='thumbnail') admin_thumbnail = AdminThumbnail(image_field='thumbnail')
admin.site.register(Photo, PhotoAdmin)
To use specs defined outside of models:
.. code-block:: python
from django.contrib import admin
from imagekit.admin import AdminThumbnail
from imagekit import ImageSpec
from imagekit.processors import ResizeToFill
from imagekit.cachefiles import ImageCacheFile
from .models import Photo
class AdminThumbnailSpec(ImageSpec):
processors = [ResizeToFill(100, 30)]
format = 'JPEG'
options = {'quality': 60 }
def cached_admin_thumb(instance):
# `image` is the name of the image field on the model
cached = ImageCacheFile(AdminThumbnailSpec(instance.image))
# only generates the first time, subsequent calls use cache
cached.generate()
return cached
class PhotoAdmin(admin.ModelAdmin):
list_display = ('__str__', 'admin_thumbnail')
admin_thumbnail = AdminThumbnail(image_field=cached_admin_thumb)
admin.site.register(Photo, PhotoAdmin) admin.site.register(Photo, PhotoAdmin)
AdminThumbnail can even use a custom template. For more information, see AdminThumbnail can even use a custom template. For more information, see
``imagekit.admin.AdminThumbnail``. ``imagekit.admin.AdminThumbnail``.
.. _`Django admin change list`: https://docs.djangoproject.com/en/dev/intro/tutorial02/#customize-the-admin-change-list .. _`Django admin change list`: https://docs.djangoproject.com/en/dev/intro/tutorial02/#customize-the-admin-change-list
Management Commands Image Cache Backends
------------------- --------------------
ImageKit has one management command—`generateimages`—which will generate cache Whenever you access properties like ``url``, ``width`` and ``height`` of an
files for all of your registered image generators. You can also pass it a list ``ImageSpecField``, its cached image is validated; whenever you save a new image
of generator ids in order to generate images selectively. to the ``ImageField`` your spec uses as a source, the spec image is invalidated.
The default way to validate a cache image is to check to see if the file exists
and, if not, generate a new one; the default way to invalidate the cache is to
delete the image. This is a very simple and straightforward way to handle cache
validation, but it has its drawbacks—for example, checking to see if the image
exists means frequently hitting the storage backend.
Because of this, ImageKit allows you to define custom image cache backends. To
be a valid image cache backend, a class must implement three methods:
``validate``, ``invalidate``, and ``clear`` (which is called when the image is
no longer needed in any form, i.e. the model is deleted). Each of these methods
must accept a file object, but the internals are up to you. For example, you
could store the state (valid, invalid) of the cache in a database to avoid
filesystem access. You can then specify your image cache backend on a per-field
basis::
Community class Photo(models.Model):
========= ...
thumbnail = ImageSpecField(..., image_cache_backend=MyImageCacheBackend())
Please use `the GitHub issue tracker <https://github.com/matthewwithanm/django-imagekit/issues>`_ Or in your ``settings.py`` file if you want to use it as the default::
to report bugs with django-imagekit. `A mailing list <https://groups.google.com/forum/#!forum/django-imagekit>`_
also exists to discuss the project and ask questions, as well as the official IMAGEKIT_DEFAULT_IMAGE_CACHE_BACKEND = 'path.to.MyImageCacheBackend'
`#imagekit <irc://irc.freenode.net/imagekit>`_ channel on Freenode.
Contributing Contributing
============ ------------
We love contributions! And you don't have to be an expert with the library—or We love contributions! And you don't have to be an expert with the library—or
even Django—to contribute either: ImageKit's processors are standalone classes even Django—to contribute either: ImageKit's processors are standalone classes
@ -470,12 +173,6 @@ that are completely separate from the more intimidating internals of Django's
ORM. If you've written a processor that you think might be useful to other ORM. If you've written a processor that you think might be useful to other
people, open a pull request so we can take a look! people, open a pull request so we can take a look!
You can also check out our list of `open, contributor-friendly issues`__ for ImageKit's image cache backends are also fairly isolated from the ImageKit guts.
ideas. If you've fine-tuned one to work perfectly for a popular file storage backend,
let us take a look! Maybe other people could use it.
Check out our `contributing guidelines`__ for more information about pitching in
with ImageKit.
__ https://github.com/matthewwithanm/django-imagekit/issues?labels=contributor-friendly&state=open
__ https://github.com/matthewwithanm/django-imagekit/blob/develop/CONTRIBUTING.rst

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@ -1,182 +0,0 @@
Advanced Usage
**************
Models
======
The ``ImageSpecField`` Shorthand Syntax
---------------------------------------
If you've read the README, you already know what an ``ImageSpecField`` is and
the basics of defining one:
.. code-block:: python
from django.db import models
from imagekit.models import ImageSpecField
from imagekit.processors import ResizeToFill
class Profile(models.Model):
avatar = models.ImageField(upload_to='avatars')
avatar_thumbnail = ImageSpecField(source='avatar',
processors=[ResizeToFill(100, 50)],
format='JPEG',
options={'quality': 60})
This will create an ``avatar_thumbnail`` field which is a resized version of the
image stored in the ``avatar`` image field. But this is actually just shorthand
for creating an ``ImageSpec``, registering it, and associating it with an
``ImageSpecField``:
.. code-block:: python
from django.db import models
from imagekit import ImageSpec, register
from imagekit.models import ImageSpecField
from imagekit.processors import ResizeToFill
class AvatarThumbnail(ImageSpec):
processors = [ResizeToFill(100, 50)]
format = 'JPEG'
options = {'quality': 60}
register.generator('myapp:profile:avatar_thumbnail', AvatarThumbnail)
class Profile(models.Model):
avatar = models.ImageField(upload_to='avatars')
avatar_thumbnail = ImageSpecField(source='avatar',
id='myapp:profile:avatar_thumbnail')
Obviously, the shorthand version is a lot, well…shorter. So why would you ever
want to go through the trouble of using the long form? The answer is that the
long form—creating an image spec class and registering it—gives you a lot more
power over the generated image.
.. _dynamic-specs:
Specs That Change
-----------------
As you'll remember from the README, an image spec is just a type of image
generator that generates a new image from a source image. How does the image
spec get access to the source image? Simple! It's passed to the constructor as
a keyword argument and stored as an attribute of the spec. Normally, we don't
have to concern ourselves with this; the ``ImageSpec`` knows what to do with the
source image and we're happy to let it do its thing. However, having access to
the source image in our spec class can be very useful…
Often, when using an ``ImageSpecField``, you may want the spec to vary based on
properties of a model. (For example, you might want to store image dimensions on
the model and then use them to generate your thumbnail.) Now that we know how to
access the source image from our spec, it's a simple matter to extract its model
and use it to create our processors list. In fact, ImageKit includes a utility
for getting this information.
.. code-block:: python
:emphasize-lines: 11-14
from django.db import models
from imagekit import ImageSpec, register
from imagekit.models import ImageSpecField
from imagekit.processors import ResizeToFill
from imagekit.utils import get_field_info
class AvatarThumbnail(ImageSpec):
format = 'JPEG'
options = {'quality': 60}
@property
def processors(self):
model, field_name = get_field_info(self.source)
return [ResizeToFill(model.thumbnail_width, thumbnail.avatar_height)]
register.generator('myapp:profile:avatar_thumbnail', AvatarThumbnail)
class Profile(models.Model):
avatar = models.ImageField(upload_to='avatars')
avatar_thumbnail = ImageSpecField(source='avatar',
id='myapp:profile:avatar_thumbnail')
thumbnail_width = models.PositiveIntegerField()
thumbnail_height = models.PositiveIntegerField()
Now each avatar thumbnail will be resized according to the dimensions stored on
the model!
Of course, processors aren't the only thing that can vary based on the model of
the source image; spec behavior can change in any way you want.
.. _source-groups:
Source Groups
=============
When you run the ``generateimages`` management command, how does ImageKit know
which source images to use with which specs? Obviously, when you define an
ImageSpecField, the source image is being connected to a spec, but what's going
on underneath the hood?
The answer is that, when you define an ImageSpecField, ImageKit automatically
creates and registers an object called a *source group*. Source groups are
responsible for two things:
1. They dispatch signals when a source is saved, and
2. They expose a generator method that enumerates source files.
When these objects are registered (using ``imagekit.register.source_group()``),
their signals will trigger callbacks on the cache file strategies associated
with image specs that use the source. (So, for example, you can chose to
generate a file every time the source image changes.) In addition, the generator
method is used (indirectly) to create the list of files to generate with the
``generateimages`` management command.
Currently, there is only one source group class bundled with ImageKit—the one
used by ImageSpecFields. This source group
(``imagekit.specs.sourcegroups.ImageFieldSourceGroup``) represents an ImageField
on every instance of a particular model. In terms of the above description, the
instance ``ImageFieldSourceGroup(Profile, 'avatar')`` 1) dispatches a signal
every time the image in Profile's avatar ImageField changes, and 2) exposes a
generator method that iterates over every Profile's "avatar" image.
Chances are, this is the only source group you will ever need to use, however,
ImageKit lets you define and register custom source groups easily. This may be
useful, for example, if you're using the template tags "generateimage" and
"thumbnail" and the optimistic cache file strategy. Again, the purpose is
to tell ImageKit which specs are used with which sources (so the
"generateimages" management command can generate those files) and when the
source image has been created or changed (so that the strategy has the
opportunity to act on it).
A simple example of a custom source group class is as follows:
.. code-block:: python
import glob
import os
class JpegsInADirectory(object):
def __init__(self, dir):
self.dir = dir
def files(self):
os.chdir(self.dir)
for name in glob.glob('*.jpg'):
yield open(name, 'rb')
Instances of this class could then be registered with one or more spec id:
.. code-block:: python
from imagekit import register
register.source_group('myapp:profile:avatar_thumbnail', JpegsInADirectory('/path/to/some/pics'))
Running the "generateimages" management command would now cause thumbnails to be
generated (using the "myapp:profile:avatar_thumbnail" spec) for each of the
JPEGs in `/path/to/some/pics`.
Note that, since this source group doesnt send the `source_saved` signal, the
corresponding cache file strategy callbacks would not be called for them.

29
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@ -0,0 +1,29 @@
API Reference
=============
:mod:`models` Module
--------------------
.. automodule:: imagekit.models
:members:
:mod:`processors` Module
------------------------
.. automodule:: imagekit.processors
:members:
.. automodule:: imagekit.processors.resize
:members:
.. automodule:: imagekit.processors.crop
:members:
:mod:`admin` Module
--------------------
.. automodule:: imagekit.admin
:members:

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@ -1,256 +0,0 @@
Caching
*******
Default Backend Workflow
========================
``ImageSpec``
-------------
At the heart of ImageKit are image generators. These are classes with a
``generate()`` method which returns an image file. An image spec is a type of
image generator. The thing that makes specs special is that they accept a source
image. So an image spec is just an image generator that makes an image from some
other image.
``ImageCacheFile``
------------------
However, an image spec by itself would be vastly inefficient. Every time an
an image was accessed in some way, it would have be regenerated and saved.
Most of the time, you want to re-use a previously generated image, based on the
input image and spec, instead of generating a new one. That's where
``ImageCacheFile`` comes in. ``ImageCacheFile`` is a File-like object that
wraps an image generator. They look and feel just like regular file
objects, but they've got a little trick up their sleeve: they represent files
that may not actually exist!
.. _cache-file-strategy:
Cache File Strategy
-------------------
Each ``ImageCacheFile`` has a cache file strategy, which abstracts away when
image is actually generated. It can implement the following three methods:
* ``on_content_required`` - called by ``ImageCacheFile`` when it requires the
contents of the generated image. For example, when you call ``read()`` or
try to access information contained in the file.
* ``on_existence_required`` - called by ``ImageCacheFile`` when it requires the
generated image to exist but may not be concerned with its contents. For
example, when you access its ``url`` or ``path`` attribute.
* ``on_source_saved`` - called when the source of a spec is saved
The default strategy only defines the first two of these, as follows:
.. code-block:: python
class JustInTime(object):
def on_content_required(self, file):
file.generate()
def on_existence_required(self, file):
file.generate()
.. _cache-file-backend:
Cache File Backend
------------------
The ``generate`` method on the ``ImageCacheFile`` is further delegated to the
cache file backend, which abstracts away how an image is generated.
The cache file backend defaults to the setting
``IMAGEKIT_DEFAULT_CACHEFILE_BACKEND`` and can be set explicitly on a spec with
the ``cachefile_backend`` attribute.
The default works like this:
* Checks the file storage to see if a file exists
* If not, caches that information for 5 seconds
* If it does, caches that information in the ``IMAGEKIT_CACHE_BACKEND``
If file doesn't exist, generates it immediately and synchronously
That pretty much covers the architecture of the caching layer, and its default
behavior. I like the default behavior. When will an image be regenerated?
Whenever it needs to be! When will your storage backend get hit? Depending on
your ``IMAGEKIT_CACHE_BACKEND`` settings, as little as twice per file (once for the
existence check and once to save the generated file). What if you want to change
a spec? The generated file name (which is used as part of the cache keys) vary
with the source file name and spec attributes, so if you change any of those, a
new file will be generated. The default behavior is easy!
.. note::
Like regular Django ImageFields, IK doesn't currently cache width and height
values, so accessing those will always result in a read. That will probably
change soon though.
Optimizing
==========
There are several ways to improve the performance (reduce I/O operations) of
ImageKit. Each has its own pros and cons.
Caching Data About Generated Files
----------------------------------
Generally, once a file is generated, you will never be removing it, so by
default ImageKit will use default cache to cache the state of generated
files "forever" (or only 5 minutes when ``DEBUG = True``).
The time for which ImageKit will cache state is configured with
``IMAGEKIT_CACHE_TIMEOUT``. If set to ``None`` this means "never expire"
(default when ``DEBUG = False``). You can reduce this timeout if you want
or set it to some numeric value in seconds if your cache backend behaves
differently and for example do not cache values if timeout is ``None``.
If you clear your cache durring deployment or some other reason probably
you do not want to lose the cache for generated images especcialy if you
are using some slow remote storage (like Amazon S3). Then you can configure
seprate cache (for example redis) in your ``CACHES`` config and tell ImageKit
to use it instead of the default cache by setting ``IMAGEKIT_CACHE_BACKEND``.
Pre-Generating Images
---------------------
The default cache file backend generates images immediately and synchronously.
If you don't do anything special, that will be when they are first requested—as
part of request-response cycle. This means that the first visitor to your page
will have to wait for the file to be created before they see any HTML.
This can be mitigated, though, by simply generating the images ahead of time, by
running the ``generateimages`` management command.
.. note::
If using with template tags, be sure to read :ref:`source-groups`.
Deferring Image Generation
--------------------------
As mentioned above, image generation is normally done synchronously. through
the default cache file backend. However, you can also take advantage of
deferred generation. In order to do this, you'll need to do two things:
1) install `celery`__ (or `django-celery`__ if you are bound to Celery<3.1)
2) tell ImageKit to use the async cachefile backend.
To do this for all specs, set the ``IMAGEKIT_DEFAULT_CACHEFILE_BACKEND`` in
your settings
.. code-block:: python
IMAGEKIT_DEFAULT_CACHEFILE_BACKEND = 'imagekit.cachefiles.backends.Async'
Images will now be generated asynchronously. But watch out! Asynchrounous
generation means you'll have to account for images that haven't been generated
yet. You can do this by checking the truthiness of your files; if an image
hasn't been generated, it will be falsy:
.. code-block:: html
{% if not profile.avatar_thumbnail %}
<img src="/path/to/placeholder.jpg" />
{% else %}
<img src="{{ profile.avatar_thumbnail.url }}" />
{% endif %}
Or, in Python:
.. code-block:: python
profile = Profile.objects.all()[0]
if profile.avatar_thumbnail:
url = profile.avatar_thumbnail.url
else:
url = '/path/to/placeholder.jpg'
.. note::
If you are using an "async" backend in combination with the "optimistic"
cache file strategy (see `Removing Safeguards`_ below), checking for
thruthiness as described above will not work. The "optimistic" backend is
very optimistic so to say, and removes the check. Create and use the
following strategy to a) have images only created on save, and b) retain
the ability to check whether the images have already been created::
class ImagekitOnSaveStrategy(object):
def on_source_saved(self, file):
file.generate()
.. note::
If you use custom storage backend for some specs,
(storage passed to the field different than configured one)
it's required the storage to be pickleable
__ https://pypi.python.org/pypi/django-celery
__ http://www.celeryproject.org
Removing Safeguards
-------------------
Even with pre-generating images, ImageKit will still try to ensure that your
image exists when you access it by default. This is for your benefit: if you
forget to generate your images, ImageKit will see that and generate it for you.
If the state of the file is cached (see above), this is a pretty cheap
operation. However, if the state isn't cached, ImageKit will need to query the
storage backend.
For those who aren't willing to accept that cost (and who never want ImageKit
to generate images in the request-responce cycle), there's the "optimistic"
cache file strategy. This strategy only generates a new image when a spec's
source image is created or changed. Unlike with the "just in time" strategy,
accessing the file won't cause it to be generated, ImageKit will just assume
that it already exists.
To use this cache file strategy for all specs, set the
``IMAGEKIT_DEFAULT_CACHEFILE_STRATEGY`` in your settings:
.. code-block:: python
IMAGEKIT_DEFAULT_CACHEFILE_STRATEGY = 'imagekit.cachefiles.strategies.Optimistic'
If you have specs that :ref:`change based on attributes of the source
<dynamic-specs>`, that's not going to cut it, though; the file will also need to
be generated when those attributes change. Likewise, image generators that don't
have sources (i.e. generators that aren't specs) won't cause files to be
generated automatically when using the optimistic strategy. (ImageKit can't know
when those need to be generated, if not on access.) In both cases, you'll have
to trigger the file generation yourself—either by generating the file in code
when necessary, or by periodically running the ``generateimages`` management
command. Luckily, ImageKit makes this pretty easy:
.. code-block:: python
from imagekit.cachefiles import LazyImageCacheFile
file = LazyImageCacheFile('myapp:profile:avatar_thumbnail', source=source_file)
file.generate()
One final situation in which images won't be generated automatically when using
the optimistic strategy is when you use a spec with a source that hasn't been
registered with it. Unlike the previous two examples, this situation cannot be
rectified by running the ``generateimages`` management command, for the simple
reason that the command has no way of knowing it needs to generate a file for
that spec from that source. Typically, this situation would arise when using the
template tags. Unlike ImageSpecFields, which automatically register all the
possible source images with the spec you define, the template tags
("generateimage" and "thumbnail") let you use any spec with any source.
Therefore, in order to generate the appropriate files using the
``generateimages`` management command, you'll need to first register a source
group that represents all of the sources you wish to use with the corresponding
specs. See :ref:`source-groups` for more information.

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Changelog
=========
v2.0.0
------
- Added the concept of image cache backends. Image cache backends assume
control of validating and invalidating the cached images from `ImageSpec` in
versions past. The default backend maintins the current behavior: invalidating
an image deletes it, while validating checks whether the file exists and
creates the file if it doesn't. One can create custom image cache backends to
control how their images are cached (e.g., Celery, etc.).
ImageKit ships with three built-in backends:
- ``imagekit.imagecache.PessimisticImageCacheBackend`` - A very safe image
cache backend. Guarantees that files will always be available, but at the
cost of hitting the storage backend.
- ``imagekit.imagecache.NonValidatingImageCacheBackend`` - A backend that is
super optimistic about the existence of spec files. It will hit your file
storage much less frequently than the pessimistic backend, but it is
technically possible for a cache file to be missing after validation.
- ``imagekit.imagecache.celery.CeleryImageCacheBackend`` - A pessimistic cache
state backend that uses celery to generate its spec images. Like
``PessimisticCacheStateBackend``, this one checks to see if the file
exists on validation, so the storage is hit fairly frequently, but an
image is guaranteed to exist. However, while validation guarantees the
existence of *an* image, it does not necessarily guarantee that you will
get the correct image, as the spec may be pending regeneration. In other
words, while there are ``generate`` tasks in the queue, it is possible to
get a stale spec image. The tradeoff is that calling ``invalidate()``
won't block to interact with file storage.
- Some of the processors have been renamed and several new ones have been added:
- ``imagekit.processors.ResizeToFill`` - (previously
``imagekit.processors.resize.Crop``) Scales the image to fill the provided
dimensions and then trims away the excess.
- ``imagekit.processors.ResizeToFit`` - (previously
``imagekit.processors.resize.Fit``) Scale to fit the provided dimensions.
- ``imagekit.processors.SmartResize`` - Like ``ResizeToFill``, but crops using
entroy (``SmartCrop``) instead of an anchor argument.
- ``imagekit.processors.BasicCrop`` - Crop using provided box.
- ``imagekit.processors.SmartCrop`` - (previously
``imagekit.processors.resize.SmartCrop``) Crop to provided size, trimming
based on entropy.
- ``imagekit.processors.TrimBorderColor`` - Trim the specified color from the
specified sides.
- ``imagekit.processors.AddBorder`` - Add a border of specific color and
thickness to an image.
- ``imagekit.processors.Resize`` - Scale to the provided dimensions (can distort).
- ``imagekit.processors.ResizeToCover`` - Scale to the smallest size that will
cover the specified dimensions. Used internally by ``Fill`` and
``SmartFill``.
- ``imagekit.processors.ResizeCanvas`` - Takes an image an resizes the canvas,
using a specific background color if the new size is larger than the current
image.
- ``mat_color`` has been added as an arguemnt to ``ResizeToFit``. If set, the
the target image size will be enforced and the specified color will be
used as background color to pad the image.
- We now use `Tox`_ to automate testing.
.. _`Tox`: http://pypi.python.org/pypi/tox
v1.1.0
------
- A ``SmartCrop`` resize processor was added. This allows an image to be
cropped based on the amount of entropy in the target image's histogram.
- The ``quality`` argument was removed in favor of an ``options`` dictionary.
This is a more general solution which grants access to PIL's format-specific
options (including "quality", "progressive", and "optimize" for JPEGs).
- The ``TrimColor`` processor was renamed to ``TrimBorderColor``.
- The private ``_Resize`` class has been removed.
v1.0.3
------
- ``ImageSpec._create()`` was renamed ``ImageSpec.generate()`` and is now
available in the public API.
- Added an ``AutoConvert`` processor to encapsulate the transparency
handling logic.
- Refactored transparency handling to be smarter, handling a lot more of
the situations in which one would convert to or from formats that support
transparency.
- Fixed PIL zeroing out files when write mode is enabled.
v1.0.2
------
- Added this changelog.
- Enhanced extension detection, format detection, and conversion between the
two. This eliminates the reliance on an image being loaded into memory
beforehand in order to detect said image's extension.
- Fixed a regression from the 0.4.x series in which ImageKit was unable to
convert a PNG file in ``P`` or "palette" mode to JPEG.
v1.0.1
------
- Minor fixes related to the rendering of ``README.rst`` as a reStructured
text file.
- Fixed the included admin template not being found when ImageKit was and
the packaging of the included admin templates.
v1.0
----
- Initial release of the *new* field-based ImageKit API.

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@ -11,12 +11,12 @@
# All configuration values have a default; values that are commented out # All configuration values have a default; values that are commented out
# serve to show the default. # serve to show the default.
import re, sys, os import sys, os
# If extensions (or modules to document with autodoc) are in another directory, # If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the # add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here. # documentation root, use os.path.abspath to make it absolute, like shown here.
sys.path.insert(0, os.path.abspath('..')) #sys.path.insert(0, os.path.abspath('.'))
sys.path.append(os.path.abspath('_themes')) sys.path.append(os.path.abspath('_themes'))
os.environ['DJANGO_SETTINGS_MODULE'] = 'tests.settings' os.environ['DJANGO_SETTINGS_MODULE'] = 'tests.settings'
@ -45,18 +45,14 @@ master_doc = 'index'
project = u'ImageKit' project = u'ImageKit'
copyright = u'2011, Justin Driscoll, Bryan Veloso, Greg Newman, Chris Drackett & Matthew Tretter' copyright = u'2011, Justin Driscoll, Bryan Veloso, Greg Newman, Chris Drackett & Matthew Tretter'
pkgmeta = {}
execfile(os.path.join(os.path.dirname(__file__), '..', 'imagekit',
'pkgmeta.py'), pkgmeta)
# The version info for the project you're documenting, acts as replacement for # The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the # |version| and |release|, also used in various other places throughout the
# built documents. # built documents.
# #
# The short X.Y version. # The short X.Y version.
version = re.match(r'\d+\.\d+', pkgmeta['__version__']).group() version = '2.0.0'
# The full version, including alpha/beta/rc tags. # The full version, including alpha/beta/rc tags.
release = pkgmeta['__version__'] release = '2.0.0'
# The language for content autogenerated by Sphinx. Refer to documentation # The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages. # for a list of supported languages.

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@ -1,90 +0,0 @@
.. _settings:
Configuration
=============
Settings
--------
.. currentmodule:: django.conf.settings
.. attribute:: IMAGEKIT_CACHEFILE_DIR
:default: ``'CACHE/images'``
The directory to which image files will be cached.
.. attribute:: IMAGEKIT_DEFAULT_FILE_STORAGE
:default: ``None``
The qualified class name of a Django storage backend to use to save the
cached images. If no value is provided for ``IMAGEKIT_DEFAULT_FILE_STORAGE``,
and none is specified by the spec definition, `your default file storage`__
will be used.
.. attribute:: IMAGEKIT_DEFAULT_CACHEFILE_BACKEND
:default: ``'imagekit.cachefiles.backends.Simple'``
Specifies the class that will be used to validate cached image files.
.. attribute:: IMAGEKIT_DEFAULT_CACHEFILE_STRATEGY
:default: ``'imagekit.cachefiles.strategies.JustInTime'``
The class responsible for specifying how and when cache files are
generated.
.. attribute:: IMAGEKIT_CACHE_BACKEND
:default: ``'default'``
The Django cache backend alias to retrieve the shared cache instance defined
in your settings, as described in the `Django cache section`_.
The cache is then used to store information like the state of cached
images (i.e. validated or not).
.. _`Django cache section`: https://docs.djangoproject.com/en/1.8/topics/cache/#accessing-the-cache
.. attribute:: IMAGEKIT_CACHE_TIMEOUT
:default: ``None``
Use when you need to override the timeout used to cache file state.
By default it is "cache forever".
It's highly recommended that you use a very high timeout.
.. attribute:: IMAGEKIT_CACHE_PREFIX
:default: ``'imagekit:'``
A cache prefix to be used when values are stored in ``IMAGEKIT_CACHE_BACKEND``
.. attribute:: IMAGEKIT_CACHEFILE_NAMER
:default: ``'imagekit.cachefiles.namers.hash'``
A function responsible for generating file names for non-spec cache files.
.. attribute:: IMAGEKIT_SPEC_CACHEFILE_NAMER
:default: ``'imagekit.cachefiles.namers.source_name_as_path'``
A function responsible for generating file names for cache files that
correspond to image specs. Since you will likely want to base the name of
your cache files on the name of the source, this extra setting is provided.
__ https://docs.djangoproject.com/en/dev/ref/settings/#default-file-storage

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@ -1,24 +1,35 @@
Getting Started
===============
.. include:: ../README.rst .. include:: ../README.rst
Commands
--------
.. automodule:: imagekit.management.commands.ikcacheinvalidate
.. automodule:: imagekit.management.commands.ikcachevalidate
Authors Authors
======= -------
.. include:: ../AUTHORS .. include:: ../AUTHORS
Digging Deeper
--------------
.. toctree::
apireference
changelog
Indices and tables Indices and tables
================== ==================
* :ref:`genindex` * :ref:`genindex`
* :ref:`modindex` * :ref:`modindex`
* :ref:`search` * :ref:`search`
.. toctree::
:glob:
:maxdepth: 2
configuration
advanced_usage
caching
upgrading

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@ -1,117 +0,0 @@
Upgrading from 2.x
==================
ImageKit 3.0 introduces new APIs and tools that augment, improve, and in some
cases entirely replace old IK workflows. Below, you'll find some useful guides
for migrating your ImageKit 2.0 apps over to the shiny new IK3.
Model Specs
-----------
IK3 is chock full of new features and better tools for even the most
sophisticated use cases. Despite this, not too much has changed when it
comes to the most common of use cases: processing an ``ImageField`` on a model.
In IK2, you may have used an ``ImageSpecField`` on a model to process an
existing ``ImageField``:
.. code-block:: python
class Profile(models.Model):
avatar = models.ImageField(upload_to='avatars')
avatar_thumbnail = ImageSpecField(image_field='avatar',
processors=[ResizeToFill(100, 50)],
format='JPEG',
options={'quality': 60})
In IK3, things look much the same:
.. code-block:: python
class Profile(models.Model):
avatar = models.ImageField(upload_to='avatars')
avatar_thumbnail = ImageSpecField(source='avatar',
processors=[ResizeToFill(100, 50)],
format='JPEG',
options={'quality': 60})
The major difference is that ``ImageSpecField`` no longer takes an
``image_field`` kwarg. Instead, you define a ``source``.
Image Cache Backends
--------------------
In IK2, you could gain some control over how your cached images were generated
by providing an ``image_cache_backend``:
.. code-block:: python
class Photo(models.Model):
...
thumbnail = ImageSpecField(..., image_cache_backend=MyImageCacheBackend())
This gave you great control over *how* your images are generated and stored,
but it could be difficult to control *when* they were generated and stored.
IK3 retains the image cache backend concept (now called cache file backends),
but separates the 'when' control out to cache file strategies:
.. code-block:: python
class Photo(models.Model):
...
thumbnail = ImageSpecField(...,
cachefile_backend=MyCacheFileBackend(),
cachefile_strategy=MyCacheFileStrategy())
If you are using the IK2 default image cache backend setting:
.. code-block:: python
IMAGEKIT_DEFAULT_IMAGE_CACHE_BACKEND = 'path.to.MyImageCacheBackend'
IK3 provides analogous settings for cache file backends and strategies:
.. code-block:: python
IMAGEKIT_DEFAULT_CACHEFILE_BACKEND = 'path.to.MyCacheFileBackend'
IMAGEKIT_DEFAULT_CACHEFILE_STRATEGY = 'path.to.MyCacheFileStrategy'
See the documentation on :ref:`cache file backends <cache-file-backend>` and :ref:`cache file strategies <cache-file-strategy>`
for more details.
Conditional model ``processors``
--------------------------------
In IK2, an ``ImageSpecField`` could take a ``processors`` callable instead of
an iterable, which allowed processing decisions to made based on other
properties of the model. IK3 does away with this feature for consistency's sake
(if one kwarg could be callable, why not all?), but provides a much more robust
solution: the custom ``spec``. See the :doc:`advanced usage <advanced_usage>` documentation for more.
Conditonal ``cache_to`` file names
----------------------------------
IK2 provided a means of specifying custom cache file names for your
image specs by passing a ``cache_to`` callable to an ``ImageSpecField``.
IK3 does away with this feature, again, for consistency.
There is a way to achieve custom file names by overriding your spec's
``cachefile_name``, but it is not recommended, as the spec's default
behavior is to hash the combination of ``source``, ``processors``, ``format``,
and other spec options to ensure that changes to the spec always result in
unique file names. See the documentation on :ref:`specs` for more.
Processors have moved to PILKit
-------------------------------
Processors have moved to a separate project: `PILKit`_. You should not have to
make any changes to an IK2 project to use PILKit--it should be installed with
IK3, and importing from ``imagekit.processors`` will still work.
.. _`PILKit`: https://github.com/matthewwithanm/pilkit

View file

@ -1,6 +1,34 @@
# flake8: noqa __title__ = 'django-imagekit'
from . import conf __author__ = 'Justin Driscoll, Bryan Veloso, Greg Newman, Chris Drackett, Matthew Tretter, Eric Eldredge'
from . import generatorlibrary __version__ = (2, 0, 0, 'final', 0)
from .specs import ImageSpec __license__ = 'BSD'
from .pkgmeta import *
from .registry import register, unregister
def get_version(version=None):
"""Derives a PEP386-compliant version number from VERSION."""
if version is None:
version = __version__
assert len(version) == 5
assert version[3] in ('alpha', 'beta', 'rc', 'final')
# Now build the two parts of the version number:
# main = X.Y[.Z]
# sub = .devN - for pre-alpha releases
# | {a|b|c}N - for alpha, beta and rc releases
parts = 2 if version[2] == 0 else 3
main = '.'.join(str(x) for x in version[:parts])
sub = ''
if version[3] == 'alpha' and version[4] == 0:
# At the toplevel, this would cause an import loop.
from django.utils.version import get_svn_revision
svn_revision = get_svn_revision()[4:]
if svn_revision != 'unknown':
sub = '.dev%s' % svn_revision
elif version[3] != 'final':
mapping = {'alpha': 'a', 'beta': 'b', 'rc': 'c'}
sub = mapping[version[3]] + str(version[4])
return main + sub

View file

@ -21,16 +21,13 @@ class AdminThumbnail(object):
self.template = template self.template = template
def __call__(self, obj): def __call__(self, obj):
if callable(self.image_field): try:
thumbnail = self.image_field(obj) thumbnail = getattr(obj, self.image_field)
else: except AttributeError:
try: raise Exception('The property %s is not defined on %s.' % \
thumbnail = getattr(obj, self.image_field) (self.image_field, obj.__class__.__name__))
except AttributeError:
raise Exception('The property %s is not defined on %s.' %
(self.image_field, obj.__class__.__name__))
original_image = getattr(thumbnail, 'source', None) or thumbnail original_image = getattr(thumbnail, 'source_file', None) or thumbnail
template = self.template or 'imagekit/admin/thumbnail.html' template = self.template or 'imagekit/admin/thumbnail.html'
return render_to_string(template, { return render_to_string(template, {

View file

@ -1,183 +0,0 @@
from copy import copy
from django.conf import settings
from django.core.files import File
from django.core.files.images import ImageFile
from django.utils.functional import SimpleLazyObject
from django.utils.encoding import smart_str
from ..files import BaseIKFile
from ..registry import generator_registry
from ..signals import content_required, existence_required
from ..utils import get_logger, get_singleton, generate, get_by_qname
class ImageCacheFile(BaseIKFile, ImageFile):
"""
A file that represents the result of a generator. Creating an instance of
this class is not enough to trigger the generation of the file. In fact,
one of the main points of this class is to allow the creation of the file
to be deferred until the time that the cache file strategy requires it.
"""
def __init__(self, generator, name=None, storage=None, cachefile_backend=None, cachefile_strategy=None):
"""
:param generator: The object responsible for generating a new image.
:param name: The filename
:param storage: A Django storage object that will be used to save the
file.
:param cachefile_backend: The object responsible for managing the
state of the file.
:param cachefile_strategy: The object responsible for handling events
for this file.
"""
self.generator = generator
if not name:
try:
name = generator.cachefile_name
except AttributeError:
fn = get_by_qname(settings.IMAGEKIT_CACHEFILE_NAMER, 'namer')
name = fn(generator)
self.name = name
storage = storage or getattr(generator, 'cachefile_storage',
None) or get_singleton(settings.IMAGEKIT_DEFAULT_FILE_STORAGE,
'file storage backend')
self.cachefile_backend = (
cachefile_backend
or getattr(generator, 'cachefile_backend', None)
or get_singleton(settings.IMAGEKIT_DEFAULT_CACHEFILE_BACKEND,
'cache file backend'))
self.cachefile_strategy = (
cachefile_strategy
or getattr(generator, 'cachefile_strategy', None)
or get_singleton(settings.IMAGEKIT_DEFAULT_CACHEFILE_STRATEGY,
'cache file strategy')
)
super(ImageCacheFile, self).__init__(storage=storage)
def _require_file(self):
if getattr(self, '_file', None) is None:
content_required.send(sender=self, file=self)
self._file = self.storage.open(self.name, 'rb')
# The ``path`` and ``url`` properties are overridden so as to not call
# ``_require_file``, which is only meant to be called when the file object
# will be directly interacted with (e.g. when using ``read()``). These only
# require the file to exist; they do not need its contents to work. This
# distinction gives the user the flexibility to create a cache file
# strategy that assumes the existence of a file, but can still make the file
# available when its contents are required.
def _storage_attr(self, attr):
if getattr(self, '_file', None) is None:
existence_required.send(sender=self, file=self)
fn = getattr(self.storage, attr)
return fn(self.name)
@property
def path(self):
return self._storage_attr('path')
@property
def url(self):
return self._storage_attr('url')
def generate(self, force=False):
"""
Generate the file. If ``force`` is ``True``, the file will be generated
whether the file already exists or not.
"""
if force or getattr(self, '_file', None) is None:
self.cachefile_backend.generate(self, force)
def _generate(self):
# Generate the file
content = generate(self.generator)
actual_name = self.storage.save(self.name, content)
# We're going to reuse the generated file, so we need to reset the pointer.
content.seek(0)
# Store the generated file. If we don't do this, the next time the
# "file" attribute is accessed, it will result in a call to the storage
# backend (in ``BaseIKFile._get_file``). Since we already have the
# contents of the file, what would the point of that be?
self.file = File(content)
if actual_name != self.name:
get_logger().warning(
'The storage backend %s did not save the file with the'
' requested name ("%s") and instead used "%s". This may be'
' because a file already existed with the requested name. If'
' so, you may have meant to call generate() instead of'
' generate(force=True), or there may be a race condition in the'
' file backend %s. The saved file will not be used.' % (
self.storage,
self.name, actual_name,
self.cachefile_backend
)
)
def __bool__(self):
if not self.name:
return False
# Dispatch the existence_required signal before checking to see if the
# file exists. This gives the strategy a chance to create the file.
existence_required.send(sender=self, file=self)
try:
check = self.cachefile_strategy.should_verify_existence(self)
except AttributeError:
# All synchronous backends should have created the file as part of
# `existence_required` if they wanted to.
check = getattr(self.cachefile_backend, 'is_async', False)
return self.cachefile_backend.exists(self) if check else True
def __getstate__(self):
state = copy(self.__dict__)
# file is hidden link to "file" attribute
state.pop('_file', None)
# remove storage from state as some non-FileSystemStorage can't be
# pickled
settings_storage = get_singleton(
settings.IMAGEKIT_DEFAULT_FILE_STORAGE,
'file storage backend'
)
if state['storage'] == settings_storage:
state.pop('storage')
return state
def __setstate__(self, state):
if 'storage' not in state:
state['storage'] = get_singleton(
settings.IMAGEKIT_DEFAULT_FILE_STORAGE,
'file storage backend'
)
self.__dict__.update(state)
def __nonzero__(self):
# Python 2 compatibility
return self.__bool__()
def __repr__(self):
return smart_str("<%s: %s>" % (
self.__class__.__name__, self if self.name else "None")
)
class LazyImageCacheFile(SimpleLazyObject):
def __init__(self, generator_id, *args, **kwargs):
def setup():
generator = generator_registry.get(generator_id, *args, **kwargs)
return ImageCacheFile(generator)
super(LazyImageCacheFile, self).__init__(setup)
def __repr__(self):
return '<%s: %s>' % (self.__class__.__name__, str(self) or 'None')

View file

@ -1,195 +0,0 @@
from ..utils import get_singleton, get_cache, sanitize_cache_key
import warnings
from copy import copy
from django.core.exceptions import ImproperlyConfigured
from django.conf import settings
class CacheFileState(object):
EXISTS = 'exists'
GENERATING = 'generating'
DOES_NOT_EXIST = 'does_not_exist'
def get_default_cachefile_backend():
"""
Get the default file backend.
"""
from django.conf import settings
return get_singleton(settings.IMAGEKIT_DEFAULT_CACHEFILE_BACKEND,
'file backend')
class InvalidFileBackendError(ImproperlyConfigured):
pass
class AbstractCacheFileBackend(object):
"""
An abstract cache file backend. This isn't used by any internal classes and
is included simply to illustrate the minimum interface of a cache file
backend for users who wish to implement their own.
"""
def generate(self, file, force=False):
raise NotImplementedError
def exists(self, file):
raise NotImplementedError
class CachedFileBackend(object):
existence_check_timeout = 5
"""
The number of seconds to wait before rechecking to see if the file exists.
If the image is found to exist, that information will be cached using the
timeout specified in your CACHES setting (which should be very high).
However, when the file does not exist, you probably want to check again
in a relatively short amount of time. This attribute allows you to do that.
"""
@property
def cache(self):
if not getattr(self, '_cache', None):
self._cache = get_cache()
return self._cache
def get_key(self, file):
from django.conf import settings
return sanitize_cache_key('%s%s-state' %
(settings.IMAGEKIT_CACHE_PREFIX, file.name))
def get_state(self, file, check_if_unknown=True):
key = self.get_key(file)
state = self.cache.get(key)
if state is None and check_if_unknown:
exists = self._exists(file)
state = CacheFileState.EXISTS if exists else CacheFileState.DOES_NOT_EXIST
self.set_state(file, state)
return state
def set_state(self, file, state):
key = self.get_key(file)
if state == CacheFileState.DOES_NOT_EXIST:
self.cache.set(key, state, self.existence_check_timeout)
else:
self.cache.set(key, state, settings.IMAGEKIT_CACHE_TIMEOUT)
def __getstate__(self):
state = copy(self.__dict__)
# Don't include the cache when pickling. It'll be reconstituted based
# on the settings.
state.pop('_cache', None)
return state
def exists(self, file):
return self.get_state(file) == CacheFileState.EXISTS
def generate(self, file, force=False):
raise NotImplementedError
def generate_now(self, file, force=False):
if force or self.get_state(file) not in (CacheFileState.GENERATING, CacheFileState.EXISTS):
self.set_state(file, CacheFileState.GENERATING)
file._generate()
self.set_state(file, CacheFileState.EXISTS)
file.close()
class Simple(CachedFileBackend):
"""
The most basic file backend. The storage is consulted to see if the file
exists. Files are generated synchronously.
"""
def generate(self, file, force=False):
self.generate_now(file, force=force)
def _exists(self, file):
return bool(getattr(file, '_file', None)
or (file.name and file.storage.exists(file.name)))
def _generate_file(backend, file, force=False):
backend.generate_now(file, force=force)
class BaseAsync(Simple):
"""
Base class for cache file backends that generate files asynchronously.
"""
is_async = True
def generate(self, file, force=False):
# Schedule the file for generation, unless we know for sure we don't
# need to. If an already-generated file sneaks through, that's okay;
# ``generate_now`` will catch it. We just want to make sure we don't
# schedule anything we know is unnecessary--but we also don't want to
# force a costly existence check.
state = self.get_state(file, check_if_unknown=False)
if state not in (CacheFileState.GENERATING, CacheFileState.EXISTS):
self.schedule_generation(file, force=force)
def schedule_generation(self, file, force=False):
# overwrite this to have the file generated in the background,
# e. g. in a worker queue.
raise NotImplementedError
try:
from celery import task
except ImportError:
pass
else:
_celery_task = task(ignore_result=True, serializer='pickle')(_generate_file)
class Celery(BaseAsync):
"""
A backend that uses Celery to generate the images.
"""
def __init__(self, *args, **kwargs):
try:
import celery # noqa
except ImportError:
raise ImproperlyConfigured('You must install celery to use'
' imagekit.cachefiles.backends.Celery.')
super(Celery, self).__init__(*args, **kwargs)
def schedule_generation(self, file, force=False):
_celery_task.delay(self, file, force=force)
# Stub class to preserve backwards compatibility and issue a warning
class Async(Celery):
def __init__(self, *args, **kwargs):
message = '{path}.Async is deprecated. Use {path}.Celery instead.'
warnings.warn(message.format(path=__name__), DeprecationWarning)
super(Async, self).__init__(*args, **kwargs)
try:
from django_rq import job
except ImportError:
pass
else:
_rq_job = job('default', result_ttl=0)(_generate_file)
class RQ(BaseAsync):
"""
A backend that uses RQ to generate the images.
"""
def __init__(self, *args, **kwargs):
try:
import django_rq # noqa
except ImportError:
raise ImproperlyConfigured('You must install django-rq to use'
' imagekit.cachefiles.backends.RQ.')
super(RQ, self).__init__(*args, **kwargs)
def schedule_generation(self, file, force=False):
_rq_job.delay(self, file, force=force)

View file

@ -1,91 +0,0 @@
"""
Functions responsible for returning filenames for the given image generator.
Users are free to define their own functions; these are just some some sensible
choices.
"""
from django.conf import settings
import os
from ..utils import format_to_extension, suggest_extension
def source_name_as_path(generator):
"""
A namer that, given the following source file name::
photos/thumbnails/bulldog.jpg
will generate a name like this::
/path/to/generated/images/photos/thumbnails/bulldog/5ff3233527c5ac3e4b596343b440ff67.jpg
where "/path/to/generated/images/" is the value specified by the
``IMAGEKIT_CACHEFILE_DIR`` setting.
"""
source_filename = getattr(generator.source, 'name', None)
if source_filename is None or os.path.isabs(source_filename):
# Generally, we put the file right in the cache file directory.
dir = settings.IMAGEKIT_CACHEFILE_DIR
else:
# For source files with relative names (like Django media files),
# use the source's name to create the new filename.
dir = os.path.join(settings.IMAGEKIT_CACHEFILE_DIR,
os.path.splitext(source_filename)[0])
ext = suggest_extension(source_filename or '', generator.format)
return os.path.normpath(os.path.join(dir,
'%s%s' % (generator.get_hash(), ext)))
def source_name_dot_hash(generator):
"""
A namer that, given the following source file name::
photos/thumbnails/bulldog.jpg
will generate a name like this::
/path/to/generated/images/photos/thumbnails/bulldog.5ff3233527c5.jpg
where "/path/to/generated/images/" is the value specified by the
``IMAGEKIT_CACHEFILE_DIR`` setting.
"""
source_filename = getattr(generator.source, 'name', None)
if source_filename is None or os.path.isabs(source_filename):
# Generally, we put the file right in the cache file directory.
dir = settings.IMAGEKIT_CACHEFILE_DIR
else:
# For source files with relative names (like Django media files),
# use the source's name to create the new filename.
dir = os.path.join(settings.IMAGEKIT_CACHEFILE_DIR,
os.path.dirname(source_filename))
ext = suggest_extension(source_filename or '', generator.format)
basename = os.path.basename(source_filename)
return os.path.normpath(os.path.join(dir, '%s.%s%s' % (
os.path.splitext(basename)[0], generator.get_hash()[:12], ext)))
def hash(generator):
"""
A namer that, given the following source file name::
photos/thumbnails/bulldog.jpg
will generate a name like this::
/path/to/generated/images/5ff3233527c5ac3e4b596343b440ff67.jpg
where "/path/to/generated/images/" is the value specified by the
``IMAGEKIT_CACHEFILE_DIR`` setting.
"""
format = getattr(generator, 'format', None)
ext = format_to_extension(format) if format else ''
return os.path.normpath(os.path.join(settings.IMAGEKIT_CACHEFILE_DIR,
'%s%s' % (generator.get_hash(), ext)))

View file

@ -1,49 +0,0 @@
import six
from django.utils.functional import LazyObject
from ..lib import force_text
from ..utils import get_singleton
class JustInTime(object):
"""
A strategy that ensures the file exists right before it's needed.
"""
def on_existence_required(self, file):
file.generate()
def on_content_required(self, file):
file.generate()
class Optimistic(object):
"""
A strategy that acts immediately when the source file changes and assumes
that the cache files will not be removed (i.e. it doesn't ensure the
cache file exists when it's accessed).
"""
def on_source_saved(self, file):
file.generate()
def should_verify_existence(self, file):
return False
class DictStrategy(object):
def __init__(self, callbacks):
for k, v in callbacks.items():
setattr(self, k, v)
def load_strategy(strategy):
if isinstance(strategy, six.string_types):
strategy = get_singleton(strategy, 'cache file strategy')
elif isinstance(strategy, dict):
strategy = DictStrategy(strategy)
elif callable(strategy):
strategy = strategy()
return strategy

View file

@ -1,161 +0,0 @@
# flake8: noqa
"""
This module contains code from django.template.base
(sha 90d3af380e8efec0301dd91600c6686232de3943). Bundling this code allows us to
support older versions of Django that did not contain it (< 1.4).
Copyright (c) Django Software Foundation and individual contributors.
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of Django nor the names of its contributors may be used
to endorse or promote products derived from this software without
specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""
from django.template import TemplateSyntaxError
import re
# Regex for token keyword arguments
kwarg_re = re.compile(r"(?:(\w+)=)?(.+)")
def token_kwargs(bits, parser, support_legacy=False):
"""
A utility method for parsing token keyword arguments.
:param bits: A list containing remainder of the token (split by spaces)
that is to be checked for arguments. Valid arguments will be removed
from this list.
:param support_legacy: If set to true ``True``, the legacy format
``1 as foo`` will be accepted. Otherwise, only the standard ``foo=1``
format is allowed.
:returns: A dictionary of the arguments retrieved from the ``bits`` token
list.
There is no requirement for all remaining token ``bits`` to be keyword
arguments, so the dictionary will be returned as soon as an invalid
argument format is reached.
"""
if not bits:
return {}
match = kwarg_re.match(bits[0])
kwarg_format = match and match.group(1)
if not kwarg_format:
if not support_legacy:
return {}
if len(bits) < 3 or bits[1] != 'as':
return {}
kwargs = {}
while bits:
if kwarg_format:
match = kwarg_re.match(bits[0])
if not match or not match.group(1):
return kwargs
key, value = match.groups()
del bits[:1]
else:
if len(bits) < 3 or bits[1] != 'as':
return kwargs
key, value = bits[2], bits[0]
del bits[:3]
kwargs[key] = parser.compile_filter(value)
if bits and not kwarg_format:
if bits[0] != 'and':
return kwargs
del bits[:1]
return kwargs
def parse_bits(parser, bits, params, varargs, varkw, defaults,
takes_context, name):
"""
Parses bits for template tag helpers (simple_tag, include_tag and
assignment_tag), in particular by detecting syntax errors and by
extracting positional and keyword arguments.
"""
if takes_context:
if params[0] == 'context':
params = params[1:]
else:
raise TemplateSyntaxError(
"'%s' is decorated with takes_context=True so it must "
"have a first argument of 'context'" % name)
args = []
kwargs = {}
unhandled_params = list(params)
for bit in bits:
# First we try to extract a potential kwarg from the bit
kwarg = token_kwargs([bit], parser)
if kwarg:
# The kwarg was successfully extracted
param, value = list(kwarg.items())[0]
if param not in params and varkw is None:
# An unexpected keyword argument was supplied
raise TemplateSyntaxError(
"'%s' received unexpected keyword argument '%s'" %
(name, param))
elif param in kwargs:
# The keyword argument has already been supplied once
raise TemplateSyntaxError(
"'%s' received multiple values for keyword argument '%s'" %
(name, param))
else:
# All good, record the keyword argument
kwargs[str(param)] = value
if param in unhandled_params:
# If using the keyword syntax for a positional arg, then
# consume it.
unhandled_params.remove(param)
else:
if kwargs:
raise TemplateSyntaxError(
"'%s' received some positional argument(s) after some "
"keyword argument(s)" % name)
else:
# Record the positional argument
args.append(parser.compile_filter(bit))
try:
# Consume from the list of expected positional arguments
unhandled_params.pop(0)
except IndexError:
if varargs is None:
raise TemplateSyntaxError(
"'%s' received too many positional arguments" %
name)
if defaults is not None:
# Consider the last n params handled, where n is the
# number of defaults.
unhandled_params = unhandled_params[:-len(defaults)]
if unhandled_params:
# Some positional arguments were not supplied
raise TemplateSyntaxError(
"'%s' did not receive value(s) for the argument(s): %s" %
(name, ", ".join(["'%s'" % p for p in unhandled_params])))
return args, kwargs

View file

@ -1,40 +0,0 @@
from appconf import AppConf
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
class ImageKitConf(AppConf):
CACHEFILE_NAMER = 'imagekit.cachefiles.namers.hash'
SPEC_CACHEFILE_NAMER = 'imagekit.cachefiles.namers.source_name_as_path'
CACHEFILE_DIR = 'CACHE/images'
DEFAULT_CACHEFILE_BACKEND = 'imagekit.cachefiles.backends.Simple'
DEFAULT_CACHEFILE_STRATEGY = 'imagekit.cachefiles.strategies.JustInTime'
DEFAULT_FILE_STORAGE = None
CACHE_BACKEND = None
CACHE_PREFIX = 'imagekit:'
CACHE_TIMEOUT = None
USE_MEMCACHED_SAFE_CACHE_KEY = True
def configure_cache_backend(self, value):
if value is None:
from django.core.cache import DEFAULT_CACHE_ALIAS
return DEFAULT_CACHE_ALIAS
if value not in settings.CACHES:
raise ImproperlyConfigured("{0} is not present in settings.CACHES".format(value))
return value
def configure_cache_timeout(self, value):
if value is None and settings.DEBUG:
# If value is not configured and is DEBUG set it to 5 minutes
return 300
# Otherwise leave it as is. If it is None then valies will never expire
return value
def configure_default_file_storage(self, value):
if value is None:
value = settings.DEFAULT_FILE_STORAGE
return value

View file

@ -1,22 +0,0 @@
from pilkit.exceptions import UnknownExtension, UnknownFormat
class AlreadyRegistered(Exception):
pass
class NotRegistered(Exception):
pass
class MissingGeneratorId(Exception):
pass
class MissingSource(ValueError):
pass
# Aliases for backwards compatibility
UnknownExtensionError = UnknownExtension
UnknownFormatError = UnknownFormat

View file

@ -1,110 +0,0 @@
from __future__ import unicode_literals
import os
from django.core.files.base import File, ContentFile
from django.utils.encoding import smart_str
from .lib import smart_text
from .utils import format_to_mimetype, extension_to_mimetype
class BaseIKFile(File):
"""
This class contains all of the methods we need from
django.db.models.fields.files.FieldFile, but with the model stuff ripped
out. It's only extended by one class, but we keep it separate for
organizational reasons.
"""
def __init__(self, storage):
self.storage = storage
def _require_file(self):
if not self:
raise ValueError()
def _get_file(self):
self._require_file()
if not hasattr(self, '_file') or self._file is None:
self._file = self.storage.open(self.name, 'rb')
return self._file
def _set_file(self, file):
self._file = file
def _del_file(self):
del self._file
file = property(_get_file, _set_file, _del_file)
def _get_path(self):
self._require_file()
return self.storage.path(self.name)
path = property(_get_path)
def _get_url(self):
self._require_file()
return self.storage.url(self.name)
url = property(_get_url)
def _get_size(self):
self._require_file()
if not getattr(self, '_committed', False):
return self.file.size
return self.storage.size(self.name)
size = property(_get_size)
def open(self, mode='rb'):
self._require_file()
try:
self.file.open(mode)
except ValueError:
# if the underlaying file can't be reopened
# then we will use the storage to try to open it again
if self.file.closed:
# clear cached file instance
del self.file
# Because file is a property we can acces it after
# we deleted it
return self.file.open(mode)
raise
def _get_closed(self):
file = getattr(self, '_file', None)
return file is None or file.closed
closed = property(_get_closed)
def close(self):
file = getattr(self, '_file', None)
if file is not None:
file.close()
class IKContentFile(ContentFile):
"""
Wraps a ContentFile in a file-like object with a filename and a
content_type. A PIL image format can be optionally be provided as a content
type hint.
"""
def __init__(self, filename, content, format=None):
self.file = ContentFile(content)
self.file.name = filename
mimetype = getattr(self.file, 'content_type', None)
if format and not mimetype:
mimetype = format_to_mimetype(format)
if not mimetype:
ext = os.path.splitext(filename or '')[1]
mimetype = extension_to_mimetype(ext)
self.file.content_type = mimetype
@property
def name(self):
return self.file.name
def __str__(self):
return smart_str(self.file.name or '')
def __unicode__(self):
# Python 2
return smart_text(self.file.name or '')

View file

@ -1,3 +0,0 @@
# flake8: noqa
from .fields import ProcessedImageField

View file

@ -1,33 +0,0 @@
from django.forms import ImageField
from ..specs import SpecHost
from ..utils import generate
class ProcessedImageField(ImageField, SpecHost):
def __init__(self, processors=None, format=None, options=None,
autoconvert=True, spec_id=None, spec=None, *args, **kwargs):
if spec_id is None:
# Unlike model fields, form fields are never told their field name.
# (Model fields are done so via `contribute_to_class()`.) Therefore
# we can't really generate a good spec id automatically.
raise TypeError('You must provide a spec_id')
SpecHost.__init__(self, processors=processors, format=format,
options=options, autoconvert=autoconvert, spec=spec,
spec_id=spec_id)
super(ProcessedImageField, self).__init__(*args, **kwargs)
def clean(self, data, initial=None):
data = super(ProcessedImageField, self).clean(data, initial)
if data and data != initial:
spec = self.get_spec(source=data)
f = generate(spec)
# Name is required in Django 1.4. When we drop support for it
# then we can dirrectly return the result from `generate(spec)`
f.name = data.name
return f
return data

View file

@ -1,13 +0,0 @@
from .registry import register
from .processors import Thumbnail as ThumbnailProcessor
from .specs import ImageSpec
class Thumbnail(ImageSpec):
def __init__(self, width=None, height=None, anchor=None, crop=None, upscale=None, **kwargs):
self.processors = [ThumbnailProcessor(width, height, anchor=anchor,
crop=crop, upscale=upscale)]
super(Thumbnail, self).__init__(**kwargs)
register.generator('imagekit:thumbnail', Thumbnail)

68
imagekit/generators.py Normal file
View file

@ -0,0 +1,68 @@
import os
from StringIO import StringIO
from .processors import ProcessorPipeline
from .utils import (img_to_fobj, open_image, IKContentFile, extension_to_format,
UnknownExtensionError)
class SpecFileGenerator(object):
def __init__(self, processors=None, format=None, options=None,
autoconvert=True, storage=None):
self.processors = processors
self.format = format
self.options = options or {}
self.autoconvert = autoconvert
self.storage = storage
def process_content(self, content, filename=None, source_file=None):
img = open_image(content)
original_format = img.format
# Run the processors
processors = self.processors
if callable(processors):
processors = processors(source_file)
img = ProcessorPipeline(processors or []).process(img)
options = dict(self.options or {})
# Determine the format.
format = self.format
if filename and not format:
# Try to guess the format from the extension.
extension = os.path.splitext(filename)[1].lower()
if extension:
try:
format = extension_to_format(extension)
except UnknownExtensionError:
pass
format = format or img.format or original_format or 'JPEG'
imgfile = img_to_fobj(img, format, **options)
content = IKContentFile(filename, imgfile.read(), format=format)
return img, content
def generate_file(self, filename, source_file, save=True):
"""
Generates a new image file by processing the source file and returns
the content of the result, ready for saving.
"""
if source_file: # TODO: Should we error here or something if the source_file doesn't exist?
# Process the original image file.
try:
fp = source_file.storage.open(source_file.name)
except IOError:
return
fp.seek(0)
fp = StringIO(fp.read())
img, content = self.process_content(fp, filename, source_file)
if save:
storage = self.storage or source_file.storage
storage.save(filename, content)
return content

View file

@ -1,35 +0,0 @@
from copy import copy
from hashlib import md5
from pickle import MARK, DICT
try:
from pickle import _Pickler
except ImportError:
# Python 2 compatible
from pickle import Pickler as _Pickler
from .lib import StringIO
class CanonicalizingPickler(_Pickler):
dispatch = copy(_Pickler.dispatch)
def save_set(self, obj):
rv = obj.__reduce_ex__(0)
rv = (rv[0], (sorted(rv[1][0]),), rv[2])
self.save_reduce(obj=obj, *rv)
dispatch[set] = save_set
def save_dict(self, obj):
write = self.write
write(MARK + DICT)
self.memoize(obj)
self._batch_setitems(sorted(obj.items()))
dispatch[dict] = save_dict
def pickle(obj):
file = StringIO()
CanonicalizingPickler(file, 0).dump(obj)
return md5(file.getvalue()).hexdigest()

View file

@ -0,0 +1,33 @@
from django.core.exceptions import ImproperlyConfigured
from django.utils.importlib import import_module
from imagekit.imagecache.base import InvalidImageCacheBackendError, PessimisticImageCacheBackend, NonValidatingImageCacheBackend
_default_image_cache_backend = None
def get_default_image_cache_backend():
"""
Get the default image cache backend. Uses the same method as
django.core.file.storage.get_storage_class
"""
global _default_image_cache_backend
if not _default_image_cache_backend:
from ..settings import DEFAULT_IMAGE_CACHE_BACKEND as import_path
try:
dot = import_path.rindex('.')
except ValueError:
raise ImproperlyConfigured("%s isn't an image cache backend module." % \
import_path)
module, classname = import_path[:dot], import_path[dot + 1:]
try:
mod = import_module(module)
except ImportError, e:
raise ImproperlyConfigured('Error importing image cache backend module %s: "%s"' % (module, e))
try:
cls = getattr(mod, classname)
_default_image_cache_backend = cls()
except AttributeError:
raise ImproperlyConfigured('Image cache backend module "%s" does not define a "%s" class.' % (module, classname))
return _default_image_cache_backend

View file

@ -0,0 +1,60 @@
from django.core.exceptions import ImproperlyConfigured
class InvalidImageCacheBackendError(ImproperlyConfigured):
pass
class PessimisticImageCacheBackend(object):
"""
A very safe image cache backend. Guarantees that files will always be
available, but at the cost of hitting the storage backend.
"""
def is_invalid(self, file):
if not getattr(file, '_file', None):
# No file on object. Have to check storage.
return not file.storage.exists(file.name)
return False
def validate(self, file):
"""
Generates a new image by running the processors on the source file.
"""
if self.is_invalid(file):
file.generate(save=True)
def invalidate(self, file):
file.delete(save=False)
def clear(self, file):
file.delete(save=False)
class NonValidatingImageCacheBackend(object):
"""
A backend that is super optimistic about the existence of spec files. It
will hit your file storage much less frequently than the pessimistic
backend, but it is technically possible for a cache file to be missing
after validation.
"""
def validate(self, file):
"""
NonValidatingImageCacheBackend has faith, so validate's a no-op.
"""
pass
def invalidate(self, file):
"""
Immediately generate a new spec file upon invalidation.
"""
file.generate(save=True)
def clear(self, file):
file.delete(save=False)

View file

@ -0,0 +1,43 @@
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from imagekit.imagecache import PessimisticImageCacheBackend, InvalidImageCacheBackendError
def generate(model, pk, attr):
try:
instance = model._default_manager.get(pk=pk)
except model.DoesNotExist:
pass # The model was deleted since the task was scheduled. NEVER MIND!
else:
field_file = getattr(instance, attr)
field_file.delete(save=False)
field_file.generate(save=True)
class CeleryImageCacheBackend(PessimisticImageCacheBackend):
"""
A pessimistic cache state backend that uses celery to generate its spec
images. Like PessimisticCacheStateBackend, this one checks to see if the
file exists on validation, so the storage is hit fairly frequently, but an
image is guaranteed to exist. However, while validation guarantees the
existence of *an* image, it does not necessarily guarantee that you will get
the correct image, as the spec may be pending regeneration. In other words,
while there are `generate` tasks in the queue, it is possible to get a
stale spec image. The tradeoff is that calling `invalidate()` won't block
to interact with file storage.
"""
def __init__(self):
try:
from celery.task import task
except:
raise InvalidImageCacheBackendError("Celery image cache backend requires the 'celery' library")
if not getattr(CeleryImageCacheBackend, '_task', None):
CeleryImageCacheBackend._task = task(generate)
def invalidate(self, file):
self._task.delay(file.instance.__class__, file.instance.pk, file.attname)
def clear(self, file):
file.delete(save=False)

View file

@ -1,5 +1,3 @@
# flake8: noqa
# Required PIL classes may or may not be available from the root namespace # Required PIL classes may or may not be available from the root namespace
# depending on the installation method used. # depending on the installation method used.
try: try:
@ -17,36 +15,3 @@ except ImportError:
import ImageStat import ImageStat
except ImportError: except ImportError:
raise ImportError('ImageKit was unable to import the Python Imaging Library. Please confirm it`s installed and available on your current Python path.') raise ImportError('ImageKit was unable to import the Python Imaging Library. Please confirm it`s installed and available on your current Python path.')
try:
from io import BytesIO as StringIO
except:
try:
from cStringIO import StringIO
except ImportError:
from StringIO import StringIO
try:
from logging import NullHandler
except ImportError:
from logging import Handler
class NullHandler(Handler):
def emit(self, record):
pass
# Try to import `force_text` available from Django 1.5
# This function will replace `unicode` used in the code
# If Django version is under 1.5 then use `force_unicde`
# It is used for compatibility between Python 2 and Python 3
try:
from django.utils.encoding import force_text, force_bytes, smart_text
except ImportError:
# Django < 1.5
from django.utils.encoding import (force_unicode as force_text,
smart_str as force_bytes,
smart_unicode as smart_text)
__all__ = ['Image', 'ImageColor', 'ImageChops', 'ImageEnhance', 'ImageFile',
'ImageFilter', 'ImageDraw', 'ImageStat', 'StringIO', 'NullHandler',
'force_text', 'force_bytes', 'smart_text']

View file

@ -1,53 +0,0 @@
from django.core.management.base import BaseCommand
import re
from ...registry import generator_registry, cachefile_registry
from ...exceptions import MissingSource
class Command(BaseCommand):
help = ("""Generate files for the specified image generators (or all of them if
none was provided). Simple, glob-like wildcards are allowed, with *
matching all characters within a segment, and ** matching across
segments. (Segments are separated with colons.) So, for example,
"a:*:c" will match "a:b:c", but not "a:b:x:c", whereas "a:**:c" will
match both. Subsegments are always matched, so "a" will match "a" as
well as "a:b" and "a:b:c".""")
args = '[generator_ids]'
def add_arguments(self, parser):
parser.add_argument('generator_id', nargs='*', help='<app_name>:<model>:<field> for model specs')
def handle(self, *args, **options):
generators = generator_registry.get_ids()
generator_ids = options['generator_id'] if 'generator_id' in options else args
if generator_ids:
patterns = self.compile_patterns(generator_ids)
generators = (id for id in generators if any(p.match(id) for p in patterns))
for generator_id in generators:
self.stdout.write('Validating generator: %s\n' % generator_id)
for image_file in cachefile_registry.get(generator_id):
if image_file.name:
self.stdout.write(' %s\n' % image_file.name)
try:
image_file.generate()
except MissingSource as err:
self.stdout.write('\t No source associated with\n')
except Exception as err:
self.stdout.write('\tFailed %s\n' % (err))
def compile_patterns(self, generator_ids):
return [self.compile_pattern(id) for id in generator_ids]
def compile_pattern(self, generator_id):
parts = re.split(r'(\*{1,2})', generator_id)
pattern = ''
for part in parts:
if part == '*':
pattern += '[^:]*'
elif part == '**':
pattern += '.*'
else:
pattern += re.escape(part)
return re.compile('^%s(:.*)?$' % pattern)

View file

@ -0,0 +1,14 @@
from django.core.management.base import BaseCommand
from django.db.models.loading import cache
from ...utils import invalidate_app_cache
class Command(BaseCommand):
help = ('Invalidates the image cache for a list of apps.')
args = '[apps]'
requires_model_validation = True
can_import_settings = True
def handle(self, *args, **options):
apps = args or cache.app_models.keys()
invalidate_app_cache(apps)

View file

@ -0,0 +1,30 @@
from optparse import make_option
from django.core.management.base import BaseCommand
from django.db.models.loading import cache
from ...utils import validate_app_cache
class Command(BaseCommand):
help = ('Validates the image cache for a list of apps.')
args = '[apps]'
requires_model_validation = True
can_import_settings = True
option_list = BaseCommand.option_list + (
make_option('--force-revalidation',
dest='force_revalidation',
action='store_true',
default=False,
help='Invalidate each image file before validating it, thereby'
' ensuring its revalidation. This is very similar to'
' running ikcacheinvalidate and then running'
' ikcachevalidate; the difference being that this option'
' causes files to be invalidated and validated'
' one-at-a-time, whereas running the two commands in series'
' would invalidate all images before validating any.'
),
)
def handle(self, *args, **options):
apps = args or cache.app_models.keys()
validate_app_cache(apps, options['force_revalidation'])

View file

@ -1,4 +1,10 @@
# flake8: noqa
from .. import conf
from .fields import ImageSpecField, ProcessedImageField from .fields import ImageSpecField, ProcessedImageField
import warnings
class ImageSpec(ImageSpecField):
def __init__(self, *args, **kwargs):
warnings.warn('ImageSpec has been moved to'
' imagekit.models.ImageSpecField. Please use that instead.',
DeprecationWarning)
super(ImageSpec, self).__init__(*args, **kwargs)

View file

@ -1,87 +1,143 @@
from __future__ import unicode_literals import os
from django.conf import settings
from django.db import models from django.db import models
from django.db.models.signals import class_prepared from django.db.models.signals import post_init, post_save, post_delete
from .files import ProcessedImageFieldFile
from .utils import ImageSpecFileDescriptor from ...imagecache import get_default_image_cache_backend
from ...specs import SpecHost from ...generators import SpecFileGenerator
from ...specs.sourcegroups import ImageFieldSourceGroup from .files import ImageSpecFieldFile, ProcessedImageFieldFile
from ...registry import register from .utils import ImageSpecFileDescriptor, ImageKitMeta, BoundImageKitMeta
from ...utils import suggest_extension
class SpecHostField(SpecHost): class ImageSpecField(object):
def _set_spec_id(self, cls, name):
spec_id = getattr(self, 'spec_id', None)
# Generate a spec_id to register the spec with. The default spec id is
# "<app>:<model>_<field>"
if not spec_id:
spec_id = ('%s:%s:%s' % (cls._meta.app_label,
cls._meta.object_name, name)).lower()
# Register the spec with the id. This allows specs to be overridden
# later, from outside of the model definition.
super(SpecHostField, self).set_spec_id(spec_id)
class ImageSpecField(SpecHostField):
""" """
The heart and soul of the ImageKit library, ImageSpecField allows you to add The heart and soul of the ImageKit library, ImageSpecField allows you to add
variants of uploaded images to your models. variants of uploaded images to your models.
""" """
def __init__(self, processors=None, format=None, options=None, def __init__(self, processors=None, format=None, options=None,
source=None, cachefile_storage=None, autoconvert=None, image_field=None, pre_cache=None, storage=None, cache_to=None,
cachefile_backend=None, cachefile_strategy=None, spec=None, autoconvert=True, image_cache_backend=None):
id=None): """
:param processors: A list of processors to run on the original image.
:param format: The format of the output file. If not provided,
ImageSpecField will try to guess the appropriate format based on the
extension of the filename and the format of the input image.
:param options: A dictionary that will be passed to PIL's
``Image.save()`` method as keyword arguments. Valid options vary
between formats, but some examples include ``quality``,
``optimize``, and ``progressive`` for JPEGs. See the PIL
documentation for others.
:param image_field: The name of the model property that contains the
original image.
:param storage: A Django storage system to use to save the generated
image.
:param cache_to: Specifies the filename to use when saving the image
cache file. This is modeled after ImageField's ``upload_to`` and
can be either a string (that specifies a directory) or a
callable (that returns a filepath). Callable values should
accept the following arguments:
SpecHost.__init__(self, processors=processors, format=format, - instance -- The model instance this spec belongs to
options=options, cachefile_storage=cachefile_storage, - path -- The path of the original image
autoconvert=autoconvert, - specname -- the property name that the spec is bound to on
cachefile_backend=cachefile_backend, the model instance
cachefile_strategy=cachefile_strategy, spec=spec, - extension -- A recommended extension. If the format of the
spec_id=id) spec is set explicitly, this suggestion will be
based on that format. if not, the extension of the
original file will be passed. You do not have to use
this extension, it's only a recommendation.
:param autoconvert: Specifies whether automatic conversion using
``prepare_image()`` should be performed prior to saving.
:param image_cache_backend: An object responsible for managing the state
of cached files. Defaults to an instance of
IMAGEKIT_DEFAULT_IMAGE_CACHE_BACKEND
# TODO: Allow callable for source. See https://github.com/matthewwithanm/django-imagekit/issues/158#issuecomment-10921664 """
self.source = source
if pre_cache is not None:
raise Exception('The pre_cache argument has been removed in favor'
' of cache state backends.')
# The generator accepts a callable value for processors, but it
# takes different arguments than the callable that ImageSpecField
# expects, so we create a partial application and pass that instead.
# TODO: Should we change the signatures to match? Even if `instance` is not part of the signature, it's accessible through the source file object's instance property.
p = lambda file: processors(instance=file.instance, file=file) if \
callable(processors) else processors
self.generator = SpecFileGenerator(p, format=format, options=options,
autoconvert=autoconvert, storage=storage)
self.image_field = image_field
self.storage = storage
self.cache_to = cache_to
self.image_cache_backend = image_cache_backend or \
get_default_image_cache_backend()
def contribute_to_class(self, cls, name): def contribute_to_class(self, cls, name):
# If the source field name isn't defined, figure it out. setattr(cls, name, ImageSpecFileDescriptor(self, name))
try:
# Make sure we don't modify an inherited ImageKitMeta instance
ik = cls.__dict__['ik']
except KeyError:
try:
base = getattr(cls, '_ik')
except AttributeError:
ik = ImageKitMeta()
else:
# Inherit all the spec fields.
ik = ImageKitMeta(base.spec_fields)
setattr(cls, '_ik', ik)
ik.spec_fields.append(name)
def register_source_group(source): # Connect to the signals only once for this class.
setattr(cls, name, ImageSpecFileDescriptor(self, name, source)) uid = '%s.%s' % (cls.__module__, cls.__name__)
self._set_spec_id(cls, name) post_init.connect(ImageSpecField._post_init_receiver, sender=cls,
dispatch_uid=uid)
post_save.connect(ImageSpecField._post_save_receiver, sender=cls,
dispatch_uid=uid)
post_delete.connect(ImageSpecField._post_delete_receiver, sender=cls,
dispatch_uid=uid)
# Add the model and field as a source for this spec id # Register the field with the image_cache_backend
register.source_group(self.spec_id, ImageFieldSourceGroup(cls, source)) try:
self.image_cache_backend.register_field(cls, self, name)
except AttributeError:
pass
if self.source: @staticmethod
register_source_group(self.source) def _post_save_receiver(sender, instance=None, created=False, raw=False, **kwargs):
else: if not raw:
# The source argument is not defined old_hashes = instance._ik._source_hashes.copy()
# Then we need to see if there is only one ImageField in that model new_hashes = ImageSpecField._update_source_hashes(instance)
# But we need to do that after full model initialization for attname in instance._ik.spec_fields:
def handle_model_preparation(sender, **kwargs): if old_hashes[attname] != new_hashes[attname]:
getattr(instance, attname).invalidate()
image_fields = [f.attname for f in cls._meta.fields if @staticmethod
isinstance(f, models.ImageField)] def _update_source_hashes(instance):
if len(image_fields) == 0: """
raise Exception( Stores hashes of the source image files so that they can be compared
'%s does not define any ImageFields, so your %s' later to see whether the source image has changed (and therefore whether
' ImageSpecField has no image to act on.' % the spec file needs to be regenerated).
(cls.__name__, name))
elif len(image_fields) > 1:
raise Exception(
'%s defines multiple ImageFields, but you have not'
' specified a source for your %s ImageSpecField.' %
(cls.__name__, name))
register_source_group(image_fields[0])
class_prepared.connect(handle_model_preparation, sender=cls, weak=False) """
instance._ik._source_hashes = dict((f.attname, hash(f.source_file)) \
for f in instance._ik.spec_files)
return instance._ik._source_hashes
@staticmethod
def _post_delete_receiver(sender, instance=None, **kwargs):
for spec_file in instance._ik.spec_files:
spec_file.clear()
@staticmethod
def _post_init_receiver(sender, instance, **kwargs):
ImageSpecField._update_source_hashes(instance)
class ProcessedImageField(models.ImageField, SpecHostField): class ProcessedImageField(models.ImageField):
""" """
ProcessedImageField is an ImageField that runs processors on the uploaded ProcessedImageField is an ImageField that runs processors on the uploaded
image *before* saving it to storage. This is in contrast to specs, which image *before* saving it to storage. This is in contrast to specs, which
@ -92,8 +148,8 @@ class ProcessedImageField(models.ImageField, SpecHostField):
attr_class = ProcessedImageFieldFile attr_class = ProcessedImageFieldFile
def __init__(self, processors=None, format=None, options=None, def __init__(self, processors=None, format=None, options=None,
verbose_name=None, name=None, width_field=None, height_field=None, verbose_name=None, name=None, width_field=None, height_field=None,
autoconvert=None, spec=None, spec_id=None, **kwargs): autoconvert=True, **kwargs):
""" """
The ProcessedImageField constructor accepts all of the arguments that The ProcessedImageField constructor accepts all of the arguments that
the :class:`django.db.models.ImageField` constructor accepts, as well the :class:`django.db.models.ImageField` constructor accepts, as well
@ -101,26 +157,26 @@ class ProcessedImageField(models.ImageField, SpecHostField):
:class:`imagekit.models.ImageSpecField`. :class:`imagekit.models.ImageSpecField`.
""" """
# if spec is not provided then autoconvert will be True by default if 'quality' in kwargs:
if spec is None and autoconvert is None: raise Exception('The "quality" keyword argument has been'
autoconvert = True """ deprecated. Use `options={'quality': %s}` instead.""" \
% kwargs['quality'])
SpecHost.__init__(self, processors=processors, format=format,
options=options, autoconvert=autoconvert, spec=spec,
spec_id=spec_id)
models.ImageField.__init__(self, verbose_name, name, width_field, models.ImageField.__init__(self, verbose_name, name, width_field,
height_field, **kwargs) height_field, **kwargs)
self.generator = SpecFileGenerator(processors, format=format,
options=options, autoconvert=autoconvert)
def contribute_to_class(self, cls, name): def get_filename(self, filename):
self._set_spec_id(cls, name) filename = os.path.normpath(self.storage.get_valid_name(
return super(ProcessedImageField, self).contribute_to_class(cls, name) os.path.basename(filename)))
name, ext = os.path.splitext(filename)
ext = suggest_extension(filename, self.generator.format)
return u'%s%s' % (name, ext)
# If the project does not use south, then we will not try to add introspection try:
if 'south' in settings.INSTALLED_APPS: from south.modelsinspector import add_introspection_rules
try: except ImportError:
from south.modelsinspector import add_introspection_rules pass
except ImportError: else:
pass add_introspection_rules([], [r'^imagekit\.models\.fields\.ProcessedImageField$'])
else:
add_introspection_rules([], [r'^imagekit\.models\.fields\.ProcessedImageField$'])

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@ -1,13 +1,154 @@
from django.db.models.fields.files import ImageFieldFile
import os import os
from ...utils import suggest_extension, generate import datetime
from django.db.models.fields.files import ImageField, ImageFieldFile
from django.utils.encoding import force_unicode, smart_str
from ...utils import suggest_extension
class ImageSpecFieldFile(ImageFieldFile):
def __init__(self, instance, field, attname):
super(ImageSpecFieldFile, self).__init__(instance, field, None)
self.attname = attname
self.storage = self.field.storage or self.source_file.storage
@property
def source_file(self):
field_name = getattr(self.field, 'image_field', None)
if field_name:
field_file = getattr(self.instance, field_name)
else:
image_fields = [getattr(self.instance, f.attname) for f in \
self.instance.__class__._meta.fields if \
isinstance(f, ImageField)]
if len(image_fields) == 0:
raise Exception('%s does not define any ImageFields, so your' \
' %s ImageSpecField has no image to act on.' % \
(self.instance.__class__.__name__, self.attname))
elif len(image_fields) > 1:
raise Exception('%s defines multiple ImageFields, but you' \
' have not specified an image_field for your %s' \
' ImageSpecField.' % (self.instance.__class__.__name__,
self.attname))
else:
field_file = image_fields[0]
return field_file
def _require_file(self):
if not self.source_file:
raise ValueError("The '%s' attribute's image_field has no file associated with it." % self.attname)
else:
self.validate()
def clear(self):
return self.field.image_cache_backend.clear(self)
def invalidate(self):
return self.field.image_cache_backend.invalidate(self)
def validate(self):
return self.field.image_cache_backend.validate(self)
def generate(self, save=True):
"""
Generates a new image file by processing the source file and returns
the content of the result, ready for saving.
"""
return self.field.generator.generate_file(self.name, self.source_file,
save)
def delete(self, save=False):
"""
Pulled almost verbatim from ``ImageFieldFile.delete()`` and
``FieldFile.delete()`` but with the attempts to reset the instance
property removed.
"""
# Clear the image dimensions cache
if hasattr(self, '_dimensions_cache'):
del self._dimensions_cache
# Only close the file if it's already open, which we know by the
# presence of self._file.
if hasattr(self, '_file'):
self.close()
del self.file
if self.name and self.storage.exists(self.name):
try:
self.storage.delete(self.name)
except NotImplementedError:
pass
# Delete the filesize cache.
if hasattr(self, '_size'):
del self._size
self._committed = False
if save:
self.instance.save()
def _default_cache_to(self, instance, path, specname, extension):
"""
Determines the filename to use for the transformed image. Can be
overridden on a per-spec basis by setting the cache_to property on
the spec.
"""
filepath, basename = os.path.split(path)
filename = os.path.splitext(basename)[0]
new_name = '%s_%s%s' % (filename, specname, extension)
return os.path.join(os.path.join('cache', filepath), new_name)
@property
def name(self):
"""
Specifies the filename that the cached image will use. The user can
control this by providing a `cache_to` method to the ImageSpecField.
"""
name = getattr(self, '_name', None)
if not name:
filename = self.source_file.name
new_filename = None
if filename:
cache_to = self.field.cache_to or self._default_cache_to
if not cache_to:
raise Exception('No cache_to or default_cache_to value'
' specified')
if callable(cache_to):
suggested_extension = suggest_extension(
self.source_file.name, self.field.generator.format)
new_filename = force_unicode(
datetime.datetime.now().strftime(
smart_str(cache_to(self.instance,
self.source_file.name, self.attname,
suggested_extension))))
else:
dir_name = os.path.normpath(
force_unicode(datetime.datetime.now().strftime(
smart_str(cache_to))))
filename = os.path.normpath(os.path.basename(filename))
new_filename = os.path.join(dir_name, filename)
self._name = new_filename
return self._name
@name.setter
def name(self, value):
# TODO: Figure out a better way to handle this. We really don't want
# to allow anybody to set the name, but ``File.__init__`` (which is
# called by ``ImageSpecFieldFile.__init__``) does, so we have to allow
# it at least that one time.
pass
class ProcessedImageFieldFile(ImageFieldFile): class ProcessedImageFieldFile(ImageFieldFile):
def save(self, name, content, save=True): def save(self, name, content, save=True):
filename, ext = os.path.splitext(name) new_filename = self.field.generate_filename(self.instance, name)
spec = self.field.get_spec(source=content) img, content = self.field.generator.process_content(content,
ext = suggest_extension(name, spec.format) new_filename, self)
new_name = '%s%s' % (filename, ext) return super(ProcessedImageFieldFile, self).save(name, content, save)
content = generate(spec)
return super(ProcessedImageFieldFile, self).save(new_name, content, save)

View file

@ -1,21 +1,42 @@
from ...cachefiles import ImageCacheFile from .files import ImageSpecFieldFile
class BoundImageKitMeta(object):
def __init__(self, instance, spec_fields):
self.instance = instance
self.spec_fields = spec_fields
@property
def spec_files(self):
return [getattr(self.instance, n) for n in self.spec_fields]
class ImageKitMeta(object):
def __init__(self, spec_fields=None):
self.spec_fields = list(spec_fields) if spec_fields else []
def __get__(self, instance, owner):
if instance is None:
return self
else:
ik = BoundImageKitMeta(instance, self.spec_fields)
setattr(instance, '_ik', ik)
return ik
class ImageSpecFileDescriptor(object): class ImageSpecFileDescriptor(object):
def __init__(self, field, attname, source_field_name): def __init__(self, field, attname):
self.attname = attname self.attname = attname
self.field = field self.field = field
self.source_field_name = source_field_name
def __get__(self, instance, owner): def __get__(self, instance, owner):
if instance is None: if instance is None:
return self.field return self.field
else: else:
source = getattr(instance, self.source_field_name) img_spec_file = ImageSpecFieldFile(instance, self.field,
spec = self.field.get_spec(source=source) self.attname)
file = ImageCacheFile(spec) instance.__dict__[self.attname] = img_spec_file
instance.__dict__[self.attname] = file return img_spec_file
return file
def __set__(self, instance, value): def __set__(self, instance, value):
instance.__dict__[self.attname] = value instance.__dict__[self.attname] = value

View file

@ -1,5 +0,0 @@
__title__ = 'django-imagekit'
__author__ = 'Matthew Tretter, Venelin Stoykov, Eric Eldredge, Bryan Veloso, Greg Newman, Chris Drackett, Justin Driscoll'
__version__ = '4.0.2'
__license__ = 'BSD'
__all__ = ['__title__', '__author__', '__version__', '__license__']

View file

@ -1,12 +1,13 @@
from pilkit.processors import * """
Imagekit image processors.
__all__ = [ A processor accepts an image, does some stuff, and returns the result.
# Base Processors can do anything with the image you want, but their responsibilities
'ProcessorPipeline', 'Adjust', 'Reflection', 'Transpose', should be limited to image manipulations--they should be completely decoupled
'Anchor', 'MakeOpaque', from both the filesystem and the ORM.
# Crop
'TrimBorderColor', 'Crop', 'SmartCrop', """
# Resize
'Resize', 'ResizeToCover', 'ResizeToFill', 'SmartResize', from .base import *
'ResizeCanvas', 'AddBorder', 'ResizeToFit', 'Thumbnail' from .crop import *
] from .resize import *

View file

@ -1,7 +1,208 @@
import warnings from imagekit.lib import Image, ImageColor, ImageEnhance
from pilkit.processors.base import *
warnings.warn('imagekit.processors.base is deprecated use imagekit.processors instead', DeprecationWarning) class ProcessorPipeline(list):
"""
A :class:`list` of other processors. This class allows any object that
knows how to deal with a single processor to deal with a list of them.
For example::
__all__ = ['ProcessorPipeline', 'Adjust', 'Reflection', 'Transpose', 'Anchor', 'MakeOpaque'] processed_image = ProcessorPipeline([ProcessorA(), ProcessorB()]).process(image)
"""
def process(self, img):
for proc in self:
img = proc.process(img)
return img
class Adjust(object):
"""
Performs color, brightness, contrast, and sharpness enhancements on the
image. See :mod:`PIL.ImageEnhance` for more imformation.
"""
def __init__(self, color=1.0, brightness=1.0, contrast=1.0, sharpness=1.0):
"""
:param color: A number between 0 and 1 that specifies the saturation
of the image. 0 corresponds to a completely desaturated image
(black and white) and 1 to the original color.
See :class:`PIL.ImageEnhance.Color`
:param brightness: A number representing the brightness; 0 results in
a completely black image whereas 1 corresponds to the brightness
of the original. See :class:`PIL.ImageEnhance.Brightness`
:param contrast: A number representing the contrast; 0 results in a
completely gray image whereas 1 corresponds to the contrast of
the original. See :class:`PIL.ImageEnhance.Contrast`
:param sharpness: A number representing the sharpness; 0 results in a
blurred image; 1 corresponds to the original sharpness; 2
results in a sharpened image. See
:class:`PIL.ImageEnhance.Sharpness`
"""
self.color = color
self.brightness = brightness
self.contrast = contrast
self.sharpness = sharpness
def process(self, img):
original = img = img.convert('RGBA')
for name in ['Color', 'Brightness', 'Contrast', 'Sharpness']:
factor = getattr(self, name.lower())
if factor != 1.0:
try:
img = getattr(ImageEnhance, name)(img).enhance(factor)
except ValueError:
pass
else:
# PIL's Color and Contrast filters both convert the image
# to L mode, losing transparency info, so we put it back.
# See https://github.com/jdriscoll/django-imagekit/issues/64
if name in ('Color', 'Contrast'):
img = Image.merge('RGBA', img.split()[:3] +
original.split()[3:4])
return img
class Reflection(object):
"""
Creates an image with a reflection.
"""
background_color = '#FFFFFF'
size = 0.0
opacity = 0.6
def process(self, img):
# Convert bgcolor string to RGB value.
background_color = ImageColor.getrgb(self.background_color)
# Handle palleted images.
img = img.convert('RGB')
# Copy orignial image and flip the orientation.
reflection = img.copy().transpose(Image.FLIP_TOP_BOTTOM)
# Create a new image filled with the bgcolor the same size.
background = Image.new("RGB", img.size, background_color)
# Calculate our alpha mask.
start = int(255 - (255 * self.opacity)) # The start of our gradient.
steps = int(255 * self.size) # The number of intermedite values.
increment = (255 - start) / float(steps)
mask = Image.new('L', (1, 255))
for y in range(255):
if y < steps:
val = int(y * increment + start)
else:
val = 255
mask.putpixel((0, y), val)
alpha_mask = mask.resize(img.size)
# Merge the reflection onto our background color using the alpha mask.
reflection = Image.composite(background, reflection, alpha_mask)
# Crop the reflection.
reflection_height = int(img.size[1] * self.size)
reflection = reflection.crop((0, 0, img.size[0], reflection_height))
# Create new image sized to hold both the original image and
# the reflection.
composite = Image.new("RGB", (img.size[0], img.size[1] + reflection_height), background_color)
# Paste the orignal image and the reflection into the composite image.
composite.paste(img, (0, 0))
composite.paste(reflection, (0, img.size[1]))
# Return the image complete with reflection effect.
return composite
class Transpose(object):
"""
Rotates or flips the image.
"""
AUTO = 'auto'
FLIP_HORIZONTAL = Image.FLIP_LEFT_RIGHT
FLIP_VERTICAL = Image.FLIP_TOP_BOTTOM
ROTATE_90 = Image.ROTATE_90
ROTATE_180 = Image.ROTATE_180
ROTATE_270 = Image.ROTATE_270
methods = [AUTO]
_EXIF_ORIENTATION_STEPS = {
1: [],
2: [FLIP_HORIZONTAL],
3: [ROTATE_180],
4: [FLIP_VERTICAL],
5: [ROTATE_270, FLIP_HORIZONTAL],
6: [ROTATE_270],
7: [ROTATE_90, FLIP_HORIZONTAL],
8: [ROTATE_90],
}
def __init__(self, *args):
"""
Possible arguments:
- Transpose.AUTO
- Transpose.FLIP_HORIZONTAL
- Transpose.FLIP_VERTICAL
- Transpose.ROTATE_90
- Transpose.ROTATE_180
- Transpose.ROTATE_270
The order of the arguments dictates the order in which the
Transposition steps are taken.
If Transpose.AUTO is present, all other arguments are ignored, and
the processor will attempt to rotate the image according to the
EXIF Orientation data.
"""
super(Transpose, self).__init__()
if args:
self.methods = args
def process(self, img):
if self.AUTO in self.methods:
try:
orientation = img._getexif()[0x0112]
ops = self._EXIF_ORIENTATION_STEPS[orientation]
except (KeyError, TypeError, AttributeError):
ops = []
else:
ops = self.methods
for method in ops:
img = img.transpose(method)
return img
class Anchor(object):
"""
Defines all the anchor points needed by the various processor classes.
"""
TOP_LEFT = 'tl'
TOP = 't'
TOP_RIGHT = 'tr'
BOTTOM_LEFT = 'bl'
BOTTOM = 'b'
BOTTOM_RIGHT = 'br'
CENTER = 'c'
LEFT = 'l'
RIGHT = 'r'
_ANCHOR_PTS = {
TOP_LEFT: (0, 0),
TOP: (0.5, 0),
TOP_RIGHT: (1, 0),
LEFT: (0, 0.5),
CENTER: (0.5, 0.5),
RIGHT: (1, 0.5),
BOTTOM_LEFT: (0, 1),
BOTTOM: (0.5, 1),
BOTTOM_RIGHT: (1, 1),
}
@staticmethod
def get_tuple(anchor):
"""Normalizes anchor values (strings or tuples) to tuples.
"""
# If the user passed in one of the string values, convert it to a
# percentage tuple.
if anchor in Anchor._ANCHOR_PTS.keys():
anchor = Anchor._ANCHOR_PTS[anchor]
return anchor

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@ -1,7 +1,170 @@
import warnings from .base import Anchor
from .utils import histogram_entropy
from ..lib import Image, ImageChops, ImageDraw, ImageStat
from pilkit.processors.crop import *
warnings.warn('imagekit.processors.crop is deprecated use imagekit.processors instead', DeprecationWarning) class Side(object):
TOP = 't'
RIGHT = 'r'
BOTTOM = 'b'
LEFT = 'l'
ALL = (TOP, RIGHT, BOTTOM, LEFT)
__all__ = ['TrimBorderColor', 'Crop', 'SmartCrop']
def _crop(img, bbox, sides=Side.ALL):
bbox = (
bbox[0] if Side.LEFT in sides else 0,
bbox[1] if Side.TOP in sides else 0,
bbox[2] if Side.RIGHT in sides else img.size[0],
bbox[3] if Side.BOTTOM in sides else img.size[1],
)
return img.crop(bbox)
def detect_border_color(img):
mask = Image.new('1', img.size, 1)
w, h = img.size[0] - 2, img.size[1] - 2
if w > 0 and h > 0:
draw = ImageDraw.Draw(mask)
draw.rectangle([1, 1, w, h], 0)
return ImageStat.Stat(img.convert('RGBA').histogram(mask)).median
class TrimBorderColor(object):
"""Trims a color from the sides of an image.
"""
def __init__(self, color=None, tolerance=0.3, sides=Side.ALL):
"""
:param color: The color to trim from the image, in a 4-tuple RGBA value,
where each component is an integer between 0 and 255, inclusive. If
no color is provided, the processor will attempt to detect the
border color automatically.
:param tolerance: A number between 0 and 1 where 0. Zero is the least
tolerant and one is the most.
:param sides: A list of sides that should be trimmed. Possible values
are provided by the :class:`Side` enum class.
"""
self.color = color
self.sides = sides
self.tolerance = tolerance
def process(self, img):
source = img.convert('RGBA')
border_color = self.color or tuple(detect_border_color(source))
bg = Image.new('RGBA', img.size, border_color)
diff = ImageChops.difference(source, bg)
if self.tolerance not in (0, 1):
# If tolerance is zero, we've already done the job. A tolerance of
# one would mean to trim EVERY color, and since that would result
# in a zero-sized image, we just ignore it.
if not 0 <= self.tolerance <= 1:
raise ValueError('%s is an invalid tolerance. Acceptable values'
' are between 0 and 1 (inclusive).' % self.tolerance)
tmp = ImageChops.constant(diff, int(self.tolerance * 255)) \
.convert('RGBA')
diff = ImageChops.subtract(diff, tmp)
bbox = diff.getbbox()
if bbox:
img = _crop(img, bbox, self.sides)
return img
class Crop(object):
"""
Crops an image, cropping it to the specified width and height. You may
optionally provide either an anchor or x and y coordinates. This processor
functions exactly the same as ``ResizeCanvas`` except that it will never
enlarge the image.
"""
def __init__(self, width=None, height=None, anchor=None, x=None, y=None):
self.width = width
self.height = height
self.anchor = anchor
self.x = x
self.y = y
def process(self, img):
from .resize import ResizeCanvas
original_width, original_height = img.size
new_width, new_height = min(original_width, self.width), \
min(original_height, self.height)
return ResizeCanvas(new_width, new_height, anchor=self.anchor,
x=self.x, y=self.y).process(img)
class SmartCrop(object):
"""
Crop an image to the specified dimensions, whittling away the parts of the
image with the least entropy.
Based on smart crop implementation from easy-thumbnails:
https://github.com/SmileyChris/easy-thumbnails/blob/master/easy_thumbnails/processors.py#L193
"""
def __init__(self, width=None, height=None):
"""
:param width: The target width, in pixels.
:param height: The target height, in pixels.
"""
self.width = width
self.height = height
def compare_entropy(self, start_slice, end_slice, slice, difference):
"""
Calculate the entropy of two slices (from the start and end of an axis),
returning a tuple containing the amount that should be added to the start
and removed from the end of the axis.
"""
start_entropy = histogram_entropy(start_slice)
end_entropy = histogram_entropy(end_slice)
if end_entropy and abs(start_entropy / end_entropy - 1) < 0.01:
# Less than 1% difference, remove from both sides.
if difference >= slice * 2:
return slice, slice
half_slice = slice // 2
return half_slice, slice - half_slice
if start_entropy > end_entropy:
return 0, slice
else:
return slice, 0
def process(self, img):
source_x, source_y = img.size
diff_x = int(source_x - min(source_x, self.width))
diff_y = int(source_y - min(source_y, self.height))
left = top = 0
right, bottom = source_x, source_y
while diff_x:
slice = min(diff_x, max(diff_x // 5, 10))
start = img.crop((left, 0, left + slice, source_y))
end = img.crop((right - slice, 0, right, source_y))
add, remove = self.compare_entropy(start, end, slice, diff_x)
left += add
right -= remove
diff_x = diff_x - add - remove
while diff_y:
slice = min(diff_y, max(diff_y // 5, 10))
start = img.crop((0, top, source_x, top + slice))
end = img.crop((0, bottom - slice, source_x, bottom))
add, remove = self.compare_entropy(start, end, slice, diff_y)
top += add
bottom -= remove
diff_y = diff_y - add - remove
box = (left, top, right, bottom)
img = img.crop(box)
return img

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@ -1,7 +1,220 @@
from imagekit.lib import Image
import warnings import warnings
from .base import Anchor
from pilkit.processors.resize import *
warnings.warn('imagekit.processors.resize is deprecated use imagekit.processors instead', DeprecationWarning) class Resize(object):
"""
Resizes an image to the specified width and height.
__all__ = ['Resize', 'ResizeToCover', 'ResizeToFill', 'SmartResize', 'ResizeCanvas', 'AddBorder', 'ResizeToFit', 'Thumbnail'] """
def __init__(self, width, height):
"""
:param width: The target width, in pixels.
:param height: The target height, in pixels.
"""
self.width = width
self.height = height
def process(self, img):
return img.resize((self.width, self.height), Image.ANTIALIAS)
class ResizeToCover(object):
"""
Resizes the image to the smallest possible size that will entirely cover the
provided dimensions. You probably won't be using this processor directly,
but it's used internally by ``ResizeToFill`` and ``SmartResize``.
"""
def __init__(self, width, height):
"""
:param width: The target width, in pixels.
:param height: The target height, in pixels.
"""
self.width, self.height = width, height
def process(self, img):
original_width, original_height = img.size
ratio = max(float(self.width) / original_width,
float(self.height) / original_height)
new_width, new_height = (int(original_width * ratio),
int(original_height * ratio))
return Resize(new_width, new_height).process(img)
class ResizeToFill(object):
"""
Resizes an image, cropping it to the exact specified width and height.
"""
def __init__(self, width=None, height=None, anchor=None):
"""
:param width: The target width, in pixels.
:param height: The target height, in pixels.
:param anchor: Specifies which part of the image should be retained
when cropping.
"""
self.width = width
self.height = height
self.anchor = anchor
def process(self, img):
from .crop import Crop
img = ResizeToCover(self.width, self.height).process(img)
return Crop(self.width, self.height,
anchor=self.anchor).process(img)
class SmartResize(object):
"""
The ``SmartResize`` processor is identical to ``ResizeToFill``, except that
it uses entropy to crop the image instead of a user-specified anchor point.
Internally, it simply runs the ``ResizeToCover`` and ``SmartCrop``
processors in series.
"""
def __init__(self, width, height):
"""
:param width: The target width, in pixels.
:param height: The target height, in pixels.
"""
self.width, self.height = width, height
def process(self, img):
from .crop import SmartCrop
img = ResizeToCover(self.width, self.height).process(img)
return SmartCrop(self.width, self.height).process(img)
class ResizeCanvas(object):
"""
Resizes the canvas, using the provided background color if the new size is
larger than the current image.
"""
def __init__(self, width, height, color=None, anchor=None, x=None, y=None):
"""
:param width: The target width, in pixels.
:param height: The target height, in pixels.
:param color: The background color to use for padding.
:param anchor: Specifies the position of the original image on the new
canvas. Valid values are:
- Anchor.TOP_LEFT
- Anchor.TOP
- Anchor.TOP_RIGHT
- Anchor.LEFT
- Anchor.CENTER
- Anchor.RIGHT
- Anchor.BOTTOM_LEFT
- Anchor.BOTTOM
- Anchor.BOTTOM_RIGHT
You may also pass a tuple that indicates the position in
percentages. For example, ``(0, 0)`` corresponds to "top left",
``(0.5, 0.5)`` to "center" and ``(1, 1)`` to "bottom right". This is
basically the same as using percentages in CSS background positions.
"""
if x is not None or y is not None:
if anchor:
raise Exception('You may provide either an anchor or x and y'
' coordinate, but not both.')
else:
self.x, self.y = x or 0, y or 0
self.anchor = None
else:
self.anchor = anchor or Anchor.CENTER
self.x = self.y = None
self.width = width
self.height = height
self.color = color or (255, 255, 255, 0)
def process(self, img):
original_width, original_height = img.size
if self.anchor:
anchor = Anchor.get_tuple(self.anchor)
trim_x, trim_y = self.width - original_width, \
self.height - original_height
x = int(float(trim_x) * float(anchor[0]))
y = int(float(trim_y) * float(anchor[1]))
else:
x, y = self.x, self.y
new_img = Image.new('RGBA', (self.width, self.height), self.color)
new_img.paste(img, (x, y))
return new_img
class AddBorder(object):
"""
Add a border of specific color and size to an image.
"""
def __init__(self, thickness, color=None):
"""
:param color: Color to use for the border
:param thickness: Thickness of the border. Can be either an int or
a 4-tuple of ints of the form (top, right, bottom, left).
"""
self.color = color
if isinstance(thickness, int):
self.top = self.right = self.bottom = self.left = thickness
else:
self.top, self.right, self.bottom, self.left = thickness
def process(self, img):
new_width = img.size[0] + self.left + self.right
new_height = img.size[1] + self.top + self.bottom
return ResizeCanvas(new_width, new_height, color=self.color,
x=self.left, y=self.top).process(img)
class ResizeToFit(object):
"""
Resizes an image to fit within the specified dimensions.
"""
def __init__(self, width=None, height=None, upscale=None, mat_color=None, anchor=Anchor.CENTER):
"""
:param width: The maximum width of the desired image.
:param height: The maximum height of the desired image.
:param upscale: A boolean value specifying whether the image should
be enlarged if its dimensions are smaller than the target
dimensions.
:param mat_color: If set, the target image size will be enforced and the
specified color will be used as a background color to pad the image.
"""
self.width = width
self.height = height
self.upscale = upscale
self.mat_color = mat_color
self.anchor = anchor
def process(self, img):
cur_width, cur_height = img.size
if not self.width is None and not self.height is None:
ratio = min(float(self.width) / cur_width,
float(self.height) / cur_height)
else:
if self.width is None:
ratio = float(self.height) / cur_height
else:
ratio = float(self.width) / cur_width
new_dimensions = (int(round(cur_width * ratio)),
int(round(cur_height * ratio)))
if (cur_width > new_dimensions[0] or cur_height > new_dimensions[1]) or \
self.upscale:
img = Resize(new_dimensions[0],
new_dimensions[1]).process(img)
if self.mat_color:
img = ResizeCanvas(self.width, self.height, self.mat_color, anchor=self.anchor).process(img)
return img

View file

@ -1,5 +1,18 @@
import warnings import math
from imagekit.lib import Image
from pilkit.processors.utils import *
warnings.warn('imagekit.processors.utils is deprecated use pilkit.processors.utils instead', DeprecationWarning) def histogram_entropy(im):
"""
Calculate the entropy of an images' histogram. Used for "smart cropping" in easy-thumbnails;
see: https://raw.github.com/SmileyChris/easy-thumbnails/master/easy_thumbnails/utils.py
"""
if not isinstance(im, Image.Image):
return 0 # Fall back to a constant entropy.
histogram = im.histogram()
hist_ceil = float(sum(histogram))
histonorm = [histocol / hist_ceil for histocol in histogram]
return -sum([p * math.log(p, 2) for p in histonorm if p != 0])

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@ -1,201 +0,0 @@
from .exceptions import AlreadyRegistered, NotRegistered
from .signals import content_required, existence_required, source_saved
from .utils import autodiscover, call_strategy_method
class GeneratorRegistry(object):
"""
An object for registering generators. This registry provides
a convenient way for a distributable app to define default generators
without locking the users of the app into it.
"""
def __init__(self):
self._generators = {}
content_required.connect(self.content_required_receiver)
existence_required.connect(self.existence_required_receiver)
def register(self, id, generator):
registered_generator = self._generators.get(id)
if registered_generator and generator != self._generators[id]:
raise AlreadyRegistered('The generator with id %s is'
' already registered' % id)
self._generators[id] = generator
def unregister(self, id):
try:
del self._generators[id]
except KeyError:
raise NotRegistered('The generator with id %s is not'
' registered' % id)
def get(self, id, **kwargs):
autodiscover()
try:
generator = self._generators[id]
except KeyError:
raise NotRegistered('The generator with id %s is not'
' registered' % id)
if callable(generator):
return generator(**kwargs)
else:
return generator
def get_ids(self):
autodiscover()
return self._generators.keys()
def content_required_receiver(self, sender, file, **kwargs):
self._receive(file, 'on_content_required')
def existence_required_receiver(self, sender, file, **kwargs):
self._receive(file, 'on_existence_required')
def _receive(self, file, callback):
generator = file.generator
# FIXME: I guess this means you can't register functions?
if generator.__class__ in self._generators.values():
# Only invoke the strategy method for registered generators.
call_strategy_method(file, callback)
class SourceGroupRegistry(object):
"""
The source group registry is responsible for listening to source_* signals
on source groups, and relaying them to the image generated file strategies
of the appropriate generators.
In addition, registering a new source group also registers its generated
files with that registry.
"""
_signals = {
source_saved: 'on_source_saved',
}
def __init__(self):
self._source_groups = {}
for signal in self._signals.keys():
signal.connect(self.source_group_receiver)
def register(self, generator_id, source_group):
from .specs.sourcegroups import SourceGroupFilesGenerator
generator_ids = self._source_groups.setdefault(source_group, set())
generator_ids.add(generator_id)
cachefile_registry.register(generator_id,
SourceGroupFilesGenerator(source_group, generator_id))
def unregister(self, generator_id, source_group):
from .specs.sourcegroups import SourceGroupFilesGenerator
generator_ids = self._source_groups.setdefault(source_group, set())
if generator_id in generator_ids:
generator_ids.remove(generator_id)
cachefile_registry.unregister(generator_id,
SourceGroupFilesGenerator(source_group, generator_id))
def source_group_receiver(self, sender, source, signal, **kwargs):
"""
Relay source group signals to the appropriate spec strategy.
"""
from .cachefiles import ImageCacheFile
source_group = sender
# Ignore signals from unregistered groups.
if source_group not in self._source_groups:
return
specs = [generator_registry.get(id, source=source) for id in
self._source_groups[source_group]]
callback_name = self._signals[signal]
for spec in specs:
file = ImageCacheFile(spec)
call_strategy_method(file, callback_name)
class CacheFileRegistry(object):
"""
An object for registering generated files with image generators. The two are
associated with each other via a string id. We do this (as opposed to
associating them directly by, for example, putting a ``cachefiles``
attribute on image generators) so that image generators can be overridden
without losing the associated files. That way, a distributable app can
define its own generators without locking the users of the app into it.
"""
def __init__(self):
self._cachefiles = {}
def register(self, generator_id, cachefiles):
"""
Associates generated files with a generator id
"""
if cachefiles not in self._cachefiles:
self._cachefiles[cachefiles] = set()
self._cachefiles[cachefiles].add(generator_id)
def unregister(self, generator_id, cachefiles):
"""
Disassociates generated files with a generator id
"""
try:
self._cachefiles[cachefiles].remove(generator_id)
except KeyError:
pass
def get(self, generator_id):
for k, v in self._cachefiles.items():
if generator_id in v:
for file in k():
yield file
class Register(object):
"""
Register generators and generated files.
"""
def generator(self, id, generator=None):
if generator is None:
# Return a decorator
def decorator(cls):
self.generator(id, cls)
return cls
return decorator
generator_registry.register(id, generator)
# iterable that returns kwargs or callable that returns iterable of kwargs
def cachefiles(self, generator_id, cachefiles):
cachefile_registry.register(generator_id, cachefiles)
def source_group(self, generator_id, source_group):
source_group_registry.register(generator_id, source_group)
class Unregister(object):
"""
Unregister generators and generated files.
"""
def generator(self, id):
generator_registry.unregister(id)
def cachefiles(self, generator_id, cachefiles):
cachefile_registry.unregister(generator_id, cachefiles)
def source_group(self, generator_id, source_group):
source_group_registry.unregister(generator_id, source_group)
generator_registry = GeneratorRegistry()
cachefile_registry = CacheFileRegistry()
source_group_registry = SourceGroupRegistry()
register = Register()
unregister = Unregister()

5
imagekit/settings.py Normal file
View file

@ -0,0 +1,5 @@
from django.conf import settings
DEFAULT_IMAGE_CACHE_BACKEND = getattr(settings,
'IMAGEKIT_DEFAULT_IMAGE_CACHE_BACKEND',
'imagekit.imagecache.PessimisticImageCacheBackend')

View file

@ -1,9 +0,0 @@
from django.dispatch import Signal
# Generated file signals
content_required = Signal()
existence_required = Signal()
# Source group signals
source_saved = Signal()

View file

@ -1,250 +0,0 @@
from copy import copy
from django.conf import settings
from django.db.models.fields.files import ImageFieldFile
from ..cachefiles.backends import get_default_cachefile_backend
from ..cachefiles.strategies import load_strategy
from .. import hashers
from ..exceptions import AlreadyRegistered, MissingSource
from ..utils import open_image, get_by_qname, process_image
from ..registry import generator_registry, register
class BaseImageSpec(object):
"""
An object that defines how an new image should be generated from a source
image.
"""
cachefile_storage = None
"""A Django storage system to use to save a cache file."""
cachefile_backend = None
"""
An object responsible for managing the state of cache files. Defaults to
an instance of ``IMAGEKIT_DEFAULT_CACHEFILE_BACKEND``
"""
cachefile_strategy = settings.IMAGEKIT_DEFAULT_CACHEFILE_STRATEGY
"""
A dictionary containing callbacks that allow you to customize how and when
the image file is created. Defaults to
``IMAGEKIT_DEFAULT_CACHEFILE_STRATEGY``.
"""
def __init__(self):
self.cachefile_backend = self.cachefile_backend or get_default_cachefile_backend()
self.cachefile_strategy = load_strategy(self.cachefile_strategy)
def generate(self):
raise NotImplementedError
MissingSource = MissingSource
"""
Raised when an operation requiring a source is attempted on a spec that has
no source.
"""
class ImageSpec(BaseImageSpec):
"""
An object that defines how to generate a new image from a source file using
PIL-based processors. (See :mod:`imagekit.processors`)
"""
processors = []
"""A list of processors to run on the original image."""
format = None
"""
The format of the output file. If not provided, ImageSpecField will try to
guess the appropriate format based on the extension of the filename and the
format of the input image.
"""
options = None
"""
A dictionary that will be passed to PIL's ``Image.save()`` method as keyword
arguments. Valid options vary between formats, but some examples include
``quality``, ``optimize``, and ``progressive`` for JPEGs. See the PIL
documentation for others.
"""
autoconvert = True
"""
Specifies whether automatic conversion using ``prepare_image()`` should be
performed prior to saving.
"""
def __init__(self, source):
self.source = source
super(ImageSpec, self).__init__()
@property
def cachefile_name(self):
if not self.source:
return None
fn = get_by_qname(settings.IMAGEKIT_SPEC_CACHEFILE_NAMER, 'namer')
return fn(self)
@property
def source(self):
src = getattr(self, '_source', None)
if not src:
field_data = getattr(self, '_field_data', None)
if field_data:
src = self._source = getattr(field_data['instance'], field_data['attname'])
del self._field_data
return src
@source.setter
def source(self, value):
self._source = value
def __getstate__(self):
state = copy(self.__dict__)
# Unpickled ImageFieldFiles won't work (they're missing a storage
# object). Since they're such a common use case, we special case them.
# Unfortunately, this also requires us to add the source getter to
# lazily retrieve the source on the reconstructed object; simply trying
# to look up the source in ``__setstate__`` would require us to get the
# model instance but, if ``__setstate__`` was called as part of
# deserializing that model, the model wouldn't be fully reconstructed
# yet, preventing us from accessing the source field.
# (This is issue #234.)
if isinstance(self.source, ImageFieldFile):
field = getattr(self.source, 'field')
state['_field_data'] = {
'instance': getattr(self.source, 'instance', None),
'attname': getattr(field, 'name', None),
}
state.pop('_source', None)
return state
def get_hash(self):
return hashers.pickle([
self.source.name,
self.processors,
self.format,
self.options,
self.autoconvert,
])
def generate(self):
if not self.source:
raise MissingSource("The spec '%s' has no source file associated"
" with it." % self)
# TODO: Move into a generator base class
# TODO: Factor out a generate_image function so you can create a generator and only override the PIL.Image creating part. (The tricky part is how to deal with original_format since generator base class won't have one.)
closed = self.source.closed
if closed:
# Django file object should know how to reopen itself if it was closed
# https://code.djangoproject.com/ticket/13750
self.source.open()
try:
img = open_image(self.source)
new_image = process_image(img,
processors=self.processors,
format=self.format,
autoconvert=self.autoconvert,
options=self.options)
finally:
if closed:
# We need to close the file if it was opened by us
self.source.close()
return new_image
def create_spec_class(class_attrs):
class DynamicSpecBase(ImageSpec):
def __reduce__(self):
try:
getstate = self.__getstate__
except AttributeError:
state = self.__dict__
else:
state = getstate()
return (create_spec, (class_attrs, state))
return type('DynamicSpec', (DynamicSpecBase,), class_attrs)
def create_spec(class_attrs, state):
cls = create_spec_class(class_attrs)
instance = cls.__new__(cls) # Create an instance without calling the __init__ (which may have required args).
try:
setstate = instance.__setstate__
except AttributeError:
instance.__dict__ = state
else:
setstate(state)
return instance
class SpecHost(object):
"""
An object that ostensibly has a spec attribute but really delegates to the
spec registry.
"""
def __init__(self, spec=None, spec_id=None, **kwargs):
spec_attrs = dict((k, v) for k, v in kwargs.items() if v is not None)
if spec_attrs:
if spec:
raise TypeError('You can provide either an image spec or'
' arguments for the ImageSpec constructor, but not both.')
else:
spec = create_spec_class(spec_attrs)
self._original_spec = spec
if spec_id:
self.set_spec_id(spec_id)
def set_spec_id(self, id):
"""
Sets the spec id for this object. Useful for when the id isn't
known when the instance is constructed (e.g. for ImageSpecFields whose
generated `spec_id`s are only known when they are contributed to a
class). If the object was initialized with a spec, it will be registered
under the provided id.
"""
self.spec_id = id
if self._original_spec:
try:
register.generator(id, self._original_spec)
except AlreadyRegistered:
# Fields should not cause AlreadyRegistered exceptions. If a
# spec is already registered, that should be used. It is
# especially important that an error is not thrown here because
# of South, which will create duplicate models as part of its
# "fake orm," therefore re-registering specs.
pass
def get_spec(self, source):
"""
Look up the spec by the spec id. We do this (instead of storing the
spec as an attribute) so that users can override apps' specs--without
having to edit model definitions--simply by registering another spec
with the same id.
"""
if not getattr(self, 'spec_id', None):
raise Exception('Object %s has no spec id.' % self)
return generator_registry.get(self.spec_id, source=source)

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@ -1,175 +0,0 @@
"""
Source groups are the means by which image spec sources are identified. They
have two responsibilities:
1. To dispatch ``source_saved`` signals. (These will be relayed to the
corresponding specs' cache file strategies.)
2. To provide the source files that they represent, via a generator method named
``files()``. (This is used by the generateimages management command for
"pre-caching" image files.)
"""
from django.db.models.signals import post_init, post_save
from django.utils.functional import wraps
import inspect
from ..cachefiles import LazyImageCacheFile
from ..signals import source_saved
from ..utils import get_nonabstract_descendants
def ik_model_receiver(fn):
"""
A method decorator that filters out signals coming from models that don't
have fields that function as ImageFieldSourceGroup sources.
"""
@wraps(fn)
def receiver(self, sender, **kwargs):
if not inspect.isclass(sender):
return
for src in self._source_groups:
if issubclass(sender, src.model_class):
fn(self, sender=sender, **kwargs)
# If we find a match, return. We don't want to handle the signal
# more than once.
return
return receiver
class ModelSignalRouter(object):
"""
Normally, ``ImageFieldSourceGroup`` would be directly responsible for
watching for changes on the model field it represents. However, Django does
not dispatch events for abstract base classes. Therefore, we must listen for
the signals on all models and filter out those that aren't represented by
``ImageFieldSourceGroup``s. This class encapsulates that functionality.
Related:
https://github.com/matthewwithanm/django-imagekit/issues/126
https://code.djangoproject.com/ticket/9318
"""
def __init__(self):
self._source_groups = []
uid = 'ik_spec_field_receivers'
post_init.connect(self.post_init_receiver, dispatch_uid=uid)
post_save.connect(self.post_save_receiver, dispatch_uid=uid)
def add(self, source_group):
self._source_groups.append(source_group)
def init_instance(self, instance):
instance._ik = getattr(instance, '_ik', {})
def update_source_hashes(self, instance):
"""
Stores hashes of the source image files so that they can be compared
later to see whether the source image has changed (and therefore whether
the spec file needs to be regenerated).
"""
self.init_instance(instance)
instance._ik['source_hashes'] = dict(
(attname, hash(getattr(instance, attname)))
for attname in self.get_source_fields(instance))
return instance._ik['source_hashes']
def get_source_fields(self, instance):
"""
Returns a list of the source fields for the given instance.
"""
return set(src.image_field
for src in self._source_groups
if isinstance(instance, src.model_class))
@ik_model_receiver
def post_save_receiver(self, sender, instance=None, created=False, update_fields=None, raw=False, **kwargs):
if not raw:
self.init_instance(instance)
old_hashes = instance._ik.get('source_hashes', {}).copy()
new_hashes = self.update_source_hashes(instance)
for attname in self.get_source_fields(instance):
if update_fields and attname not in update_fields:
continue
file = getattr(instance, attname)
if file and old_hashes.get(attname) != new_hashes[attname]:
self.dispatch_signal(source_saved, file, sender, instance,
attname)
@ik_model_receiver
def post_init_receiver(self, sender, instance=None, **kwargs):
self.init_instance(instance)
source_fields = self.get_source_fields(instance)
local_fields = dict((field.name, field)
for field in instance._meta.local_fields
if field.name in source_fields)
instance._ik['source_hashes'] = dict(
(attname, hash(file_field))
for attname, file_field in local_fields.items())
def dispatch_signal(self, signal, file, model_class, instance, attname):
"""
Dispatch the signal for each of the matching source groups. Note that
more than one source can have the same model and image_field; it's
important that we dispatch the signal for each.
"""
for source_group in self._source_groups:
if issubclass(model_class, source_group.model_class) and source_group.image_field == attname:
signal.send(sender=source_group, source=file)
class ImageFieldSourceGroup(object):
"""
A source group that repesents a particular field across all instances of a
model and its subclasses.
"""
def __init__(self, model_class, image_field):
self.model_class = model_class
self.image_field = image_field
signal_router.add(self)
def files(self):
"""
A generator that returns the source files that this source group
represents; in this case, a particular field of every instance of a
particular model and its subclasses.
"""
for model in get_nonabstract_descendants(self.model_class):
for instance in model.objects.all().iterator():
yield getattr(instance, self.image_field)
class SourceGroupFilesGenerator(object):
"""
A Python generator that yields cache file objects for source groups.
"""
def __init__(self, source_group, generator_id):
self.source_group = source_group
self.generator_id = generator_id
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
def __hash__(self):
return hash((self.source_group, self.generator_id))
def __call__(self):
for source_file in self.source_group.files():
yield LazyImageCacheFile(self.generator_id,
source=source_file)
signal_router = ModelSignalRouter()

View file

@ -1,285 +0,0 @@
from __future__ import unicode_literals
from django import template
from django.utils.html import escape
from django.utils.safestring import mark_safe
from ..compat import parse_bits
from ..cachefiles import ImageCacheFile
from ..registry import generator_registry
from ..lib import force_text
register = template.Library()
ASSIGNMENT_DELIMETER = 'as'
HTML_ATTRS_DELIMITER = '--'
DEFAULT_THUMBNAIL_GENERATOR = 'imagekit:thumbnail'
def get_cachefile(context, generator_id, generator_kwargs, source=None):
generator_id = generator_id.resolve(context)
kwargs = dict((k, v.resolve(context)) for k, v in generator_kwargs.items())
generator = generator_registry.get(generator_id, **kwargs)
return ImageCacheFile(generator)
def parse_dimensions(dimensions):
"""
Parse the width and height values from a dimension string. Valid values are
'1x1', '1x', and 'x1'. If one of the dimensions is omitted, the parse result
will be None for that value.
"""
width, height = [d.strip() and int(d) or None for d in dimensions.split('x')]
return dict(width=width, height=height)
class GenerateImageAssignmentNode(template.Node):
def __init__(self, variable_name, generator_id, generator_kwargs):
self._generator_id = generator_id
self._generator_kwargs = generator_kwargs
self._variable_name = variable_name
def get_variable_name(self, context):
return force_text(self._variable_name)
def render(self, context):
variable_name = self.get_variable_name(context)
context[variable_name] = get_cachefile(context, self._generator_id,
self._generator_kwargs)
return ''
class GenerateImageTagNode(template.Node):
def __init__(self, generator_id, generator_kwargs, html_attrs):
self._generator_id = generator_id
self._generator_kwargs = generator_kwargs
self._html_attrs = html_attrs
def render(self, context):
file = get_cachefile(context, self._generator_id,
self._generator_kwargs)
attrs = dict((k, v.resolve(context)) for k, v in
self._html_attrs.items())
# Only add width and height if neither is specified (to allow for
# proportional in-browser scaling).
if not 'width' in attrs and not 'height' in attrs:
attrs.update(width=file.width, height=file.height)
attrs['src'] = file.url
attr_str = ' '.join('%s="%s"' % (escape(k), escape(v)) for k, v in
attrs.items())
return mark_safe('<img %s />' % attr_str)
class ThumbnailAssignmentNode(template.Node):
def __init__(self, variable_name, generator_id, dimensions, source, generator_kwargs):
self._variable_name = variable_name
self._generator_id = generator_id
self._dimensions = dimensions
self._source = source
self._generator_kwargs = generator_kwargs
def get_variable_name(self, context):
return force_text(self._variable_name)
def render(self, context):
variable_name = self.get_variable_name(context)
generator_id = self._generator_id.resolve(context) if self._generator_id else DEFAULT_THUMBNAIL_GENERATOR
kwargs = dict((k, v.resolve(context)) for k, v in
self._generator_kwargs.items())
kwargs['source'] = self._source.resolve(context)
kwargs.update(parse_dimensions(self._dimensions.resolve(context)))
generator = generator_registry.get(generator_id, **kwargs)
context[variable_name] = ImageCacheFile(generator)
return ''
class ThumbnailImageTagNode(template.Node):
def __init__(self, generator_id, dimensions, source, generator_kwargs, html_attrs):
self._generator_id = generator_id
self._dimensions = dimensions
self._source = source
self._generator_kwargs = generator_kwargs
self._html_attrs = html_attrs
def render(self, context):
generator_id = self._generator_id.resolve(context) if self._generator_id else DEFAULT_THUMBNAIL_GENERATOR
dimensions = parse_dimensions(self._dimensions.resolve(context))
kwargs = dict((k, v.resolve(context)) for k, v in
self._generator_kwargs.items())
kwargs['source'] = self._source.resolve(context)
kwargs.update(dimensions)
generator = generator_registry.get(generator_id, **kwargs)
file = ImageCacheFile(generator)
attrs = dict((k, v.resolve(context)) for k, v in
self._html_attrs.items())
# Only add width and height if neither is specified (to allow for
# proportional in-browser scaling).
if not 'width' in attrs and not 'height' in attrs:
attrs.update(width=file.width, height=file.height)
attrs['src'] = file.url
attr_str = ' '.join('%s="%s"' % (escape(k), escape(v)) for k, v in
attrs.items())
return mark_safe('<img %s />' % attr_str)
def parse_ik_tag_bits(parser, bits):
"""
Parses the tag name, html attributes and variable name (for assignment tags)
from the provided bits. The preceding bits may vary and are left to be
parsed by specific tags.
"""
varname = None
html_attrs = {}
tag_name = bits.pop(0)
if len(bits) >= 2 and bits[-2] == ASSIGNMENT_DELIMETER:
varname = bits[-1]
bits = bits[:-2]
if HTML_ATTRS_DELIMITER in bits:
if varname:
raise template.TemplateSyntaxError('Do not specify html attributes'
' (using "%s") when using the "%s" tag as an assignment'
' tag.' % (HTML_ATTRS_DELIMITER, tag_name))
index = bits.index(HTML_ATTRS_DELIMITER)
html_bits = bits[index + 1:]
bits = bits[:index]
if not html_bits:
raise template.TemplateSyntaxError('Don\'t use "%s" unless you\'re'
' setting html attributes.' % HTML_ATTRS_DELIMITER)
args, html_attrs = parse_bits(parser, html_bits, [], 'args',
'kwargs', None, False, tag_name)
if len(args):
raise template.TemplateSyntaxError('All "%s" tag arguments after'
' the "%s" token must be named.' % (tag_name,
HTML_ATTRS_DELIMITER))
return (tag_name, bits, html_attrs, varname)
#@register.tag
def generateimage(parser, token):
"""
Creates an image based on the provided arguments.
By default::
{% generateimage 'myapp:thumbnail' source=mymodel.profile_image %}
generates an ``<img>`` tag::
<img src="/path/to/34d944f200dd794bf1e6a7f37849f72b.jpg" width="100" height="100" />
You can add additional attributes to the tag using "--". For example,
this::
{% generateimage 'myapp:thumbnail' source=mymodel.profile_image -- alt="Hello!" %}
will result in the following markup::
<img src="/path/to/34d944f200dd794bf1e6a7f37849f72b.jpg" width="100" height="100" alt="Hello!" />
For more flexibility, ``generateimage`` also works as an assignment tag::
{% generateimage 'myapp:thumbnail' source=mymodel.profile_image as th %}
<img src="{{ th.url }}" width="{{ th.width }}" height="{{ th.height }}" />
"""
bits = token.split_contents()
tag_name, bits, html_attrs, varname = parse_ik_tag_bits(parser, bits)
args, kwargs = parse_bits(parser, bits, ['generator_id'], 'args', 'kwargs',
None, False, tag_name)
if len(args) != 1:
raise template.TemplateSyntaxError('The "%s" tag requires exactly one'
' unnamed argument (the generator id).' % tag_name)
generator_id = args[0]
if varname:
return GenerateImageAssignmentNode(varname, generator_id, kwargs)
else:
return GenerateImageTagNode(generator_id, kwargs, html_attrs)
#@register.tag
def thumbnail(parser, token):
"""
A convenient shortcut syntax for generating a thumbnail. The following::
{% thumbnail '100x100' mymodel.profile_image %}
is equivalent to::
{% generateimage 'imagekit:thumbnail' source=mymodel.profile_image width=100 height=100 %}
The thumbnail tag supports the "--" and "as" bits for adding html
attributes and assigning to a variable, respectively. It also accepts the
kwargs "anchor", and "crop".
To use "smart cropping" (the ``SmartResize`` processor)::
{% thumbnail '100x100' mymodel.profile_image %}
To crop, anchoring the image to the top right (the ``ResizeToFill``
processor)::
{% thumbnail '100x100' mymodel.profile_image anchor='tr' %}
To resize without cropping (using the ``ResizeToFit`` processor)::
{% thumbnail '100x100' mymodel.profile_image crop=0 %}
"""
bits = token.split_contents()
tag_name, bits, html_attrs, varname = parse_ik_tag_bits(parser, bits)
args, kwargs = parse_bits(parser, bits, [], 'args', 'kwargs',
None, False, tag_name)
if len(args) < 2:
raise template.TemplateSyntaxError('The "%s" tag requires at least two'
' unnamed arguments: the dimensions and the source image.'
% tag_name)
elif len(args) > 3:
raise template.TemplateSyntaxError('The "%s" tag accepts at most three'
' unnamed arguments: a generator id, the dimensions, and the'
' source image.' % tag_name)
dimensions, source = args[-2:]
generator_id = args[0] if len(args) > 2 else None
if varname:
return ThumbnailAssignmentNode(varname, generator_id, dimensions,
source, kwargs)
else:
return ThumbnailImageTagNode(generator_id, dimensions, source, kwargs,
html_attrs)
generateimage = register.tag(generateimage)
thumbnail = register.tag(thumbnail)

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@ -1,191 +1,373 @@
from __future__ import unicode_literals import os
import logging import mimetypes
import re from StringIO import StringIO
from tempfile import NamedTemporaryFile import sys
from hashlib import md5 import types
from django.conf import settings from django.core.files.base import ContentFile
from django.core.exceptions import ImproperlyConfigured from django.db.models.loading import cache
from django.core.files import File from django.utils.functional import wraps
try: from django.utils.encoding import smart_str, smart_unicode
from importlib import import_module
except ImportError: from .lib import Image, ImageFile
from django.utils.importlib import import_module
from pilkit.utils import *
from .lib import NullHandler, force_bytes
bad_memcached_key_chars = re.compile('[\u0000-\u001f\\s]+') RGBA_TRANSPARENCY_FORMATS = ['PNG']
PALETTE_TRANSPARENCY_FORMATS = ['PNG', 'GIF']
_autodiscovered = False
def get_nonabstract_descendants(model):
""" Returns all non-abstract descendants of the model. """
if not model._meta.abstract:
yield model
for s in model.__subclasses__():
for m in get_nonabstract_descendants(s):
yield m
def get_by_qname(path, desc): class IKContentFile(ContentFile):
"""
Wraps a ContentFile in a file-like object with a filename and a
content_type. A PIL image format can be optionally be provided as a content
type hint.
"""
def __init__(self, filename, content, format=None):
self.file = ContentFile(content)
self.file.name = filename
mimetype = getattr(self.file, 'content_type', None)
if format and not mimetype:
mimetype = format_to_mimetype(format)
if not mimetype:
ext = os.path.splitext(filename or '')[1]
mimetype = extension_to_mimetype(ext)
self.file.content_type = mimetype
def __str__(self):
return smart_str(self.file.name or '')
def __unicode__(self):
return smart_unicode(self.file.name or u'')
def img_to_fobj(img, format, autoconvert=True, **options):
return save_image(img, StringIO(), format, options, autoconvert)
def get_spec_files(instance):
try: try:
dot = path.rindex('.') return instance._ik.spec_files
except ValueError:
raise ImproperlyConfigured("%s isn't a %s module." % (path, desc))
module, objname = path[:dot], path[dot + 1:]
try:
mod = import_module(module)
except ImportError as e:
raise ImproperlyConfigured('Error importing %s module %s: "%s"' %
(desc, module, e))
try:
obj = getattr(mod, objname)
return obj
except AttributeError: except AttributeError:
raise ImproperlyConfigured('%s module "%s" does not define "%s"' return []
% (desc[0].upper() + desc[1:], module, objname))
_singletons = {} def open_image(target):
target.seek(0)
img = Image.open(target)
img.copy = types.MethodType(_wrap_copy(img.copy), img, img.__class__)
return img
def get_singleton(class_path, desc): def _wrap_copy(f):
global _singletons @wraps(f)
cls = get_by_qname(class_path, desc) def copy(self):
instance = _singletons.get(cls) img = f()
if not instance:
instance = _singletons[cls] = cls()
return instance
def autodiscover():
"""
Auto-discover INSTALLED_APPS imagegenerators.py modules and fail silently
when not present. This forces an import on them to register any admin bits
they may want.
Copied from django.contrib.admin
"""
global _autodiscovered
if _autodiscovered:
return
try:
from django.utils.module_loading import autodiscover_modules
except ImportError:
# Django<1.7
_autodiscover_modules_fallback()
else:
autodiscover_modules('imagegenerators')
_autodiscovered = True
def _autodiscover_modules_fallback():
"""
Auto-discover INSTALLED_APPS imagegenerators.py modules and fail silently
when not present. This forces an import on them to register any admin bits
they may want.
Copied from django.contrib.admin
Used for Django versions < 1.7
"""
from django.conf import settings
try:
from importlib import import_module
except ImportError:
from django.utils.importlib import import_module
from django.utils.module_loading import module_has_submodule
for app in settings.INSTALLED_APPS:
# As of Django 1.7, settings.INSTALLED_APPS may contain classes instead of modules, hence the try/except
# See here: https://docs.djangoproject.com/en/dev/releases/1.7/#introspecting-applications
try: try:
mod = import_module(app) img.app = self.app
# Attempt to import the app's admin module. except AttributeError:
try:
import_module('%s.imagegenerators' % app)
except:
# Decide whether to bubble up this error. If the app just
# doesn't have an imagegenerators module, we can ignore the error
# attempting to import it, otherwise we want it to bubble up.
if module_has_submodule(mod, 'imagegenerators'):
raise
except ImportError:
pass pass
try:
img._getexif = self._getexif
except AttributeError:
pass
return img
return copy
def get_logger(logger_name='imagekit', add_null_handler=True): class UnknownExtensionError(Exception):
logger = logging.getLogger(logger_name) pass
if add_null_handler:
logger.addHandler(NullHandler())
return logger
def get_field_info(field_file): class UnknownFormatError(Exception):
""" pass
A utility for easily extracting information about the host model from a
Django FileField (or subclass). This is especially useful for when you want
to alter processors based on a property of the source model. For example::
class MySpec(ImageSpec):
def __init__(self, source): _pil_init = 0
instance, attname = get_field_info(source)
self.processors = [SmartResize(instance.thumbnail_width,
instance.thumbnail_height)] def _preinit_pil():
"""Loads the standard PIL file format drivers. Returns True if ``preinit()``
was called (and there's a potential that more drivers were loaded) or False
if there is no possibility that new drivers were loaded.
""" """
return ( global _pil_init
getattr(field_file, 'instance', None), if _pil_init < 1:
getattr(getattr(field_file, 'field', None), 'attname', None), Image.preinit()
) _pil_init = 1
return True
return False
def generate(generator): def _init_pil():
""" """Loads all PIL file format drivers. Returns True if ``init()`` was called
Calls the ``generate()`` method of a generator instance, and then wraps the (and there's a potential that more drivers were loaded) or False if there is
result in a Django File object so Django knows how to save it. no possibility that new drivers were loaded.
""" """
content = generator.generate() global _pil_init
f = File(content) _preinit_pil()
# The size of the File must be known or Django will try to open a file if _pil_init < 2:
# without a name and raise an Exception. Image.init()
f.size = len(content.read()) _pil_init = 2
# After getting the size reset the file pointer for future reads. return True
content.seek(0) return False
return f
def call_strategy_method(file, method_name): def _extension_to_format(extension):
strategy = getattr(file, 'cachefile_strategy', None) return Image.EXTENSION.get(extension.lower())
fn = getattr(strategy, method_name, None)
if fn is not None:
fn(file)
def get_cache(): def _format_to_extension(format):
if format:
for k, v in Image.EXTENSION.iteritems():
if v == format.upper():
return k
return None
def extension_to_mimetype(ext):
try: try:
from django.core.cache import caches filename = 'a%s' % (ext or '') # guess_type requires a full filename, not just an extension
except ImportError: mimetype = mimetypes.guess_type(filename)[0]
# Django < 1.7 except IndexError:
from django.core.cache import get_cache mimetype = None
return get_cache(settings.IMAGEKIT_CACHE_BACKEND) return mimetype
return caches[settings.IMAGEKIT_CACHE_BACKEND]
def sanitize_cache_key(key): def format_to_mimetype(format):
if settings.IMAGEKIT_USE_MEMCACHED_SAFE_CACHE_KEY: return extension_to_mimetype(format_to_extension(format))
# Memcached keys can't contain whitespace or control characters.
new_key = bad_memcached_key_chars.sub('', key)
# The also can't be > 250 chars long. Since we don't know what the
# user's cache ``KEY_FUNCTION`` setting is like, we'll limit it to 200.
if len(new_key) >= 200:
new_key = '%s:%s' % (new_key[:200-33], md5(force_bytes(key)).hexdigest())
key = new_key def extension_to_format(extension):
return key """Returns the format that corresponds to the provided extension.
"""
format = _extension_to_format(extension)
if not format and _preinit_pil():
format = _extension_to_format(extension)
if not format and _init_pil():
format = _extension_to_format(extension)
if not format:
raise UnknownExtensionError(extension)
return format
def format_to_extension(format):
"""Returns the first extension that matches the provided format.
"""
extension = None
if format:
extension = _format_to_extension(format)
if not extension and _preinit_pil():
extension = _format_to_extension(format)
if not extension and _init_pil():
extension = _format_to_extension(format)
if not extension:
raise UnknownFormatError(format)
return extension
def _get_models(apps):
models = []
for app_label in apps or []:
app = cache.get_app(app_label)
models += [m for m in cache.get_models(app)]
return models
def invalidate_app_cache(apps):
for model in _get_models(apps):
print 'Invalidating cache for "%s.%s"' % (model._meta.app_label, model.__name__)
for obj in model._default_manager.order_by('-pk'):
for f in get_spec_files(obj):
f.invalidate()
def validate_app_cache(apps, force_revalidation=False):
for model in _get_models(apps):
for obj in model._default_manager.order_by('-pk'):
model_name = '%s.%s' % (model._meta.app_label, model.__name__)
if force_revalidation:
print 'Invalidating & validating cache for "%s"' % model_name
else:
print 'Validating cache for "%s"' % model_name
for f in get_spec_files(obj):
if force_revalidation:
f.invalidate()
f.validate()
def suggest_extension(name, format):
original_extension = os.path.splitext(name)[1]
try:
suggested_extension = format_to_extension(format)
except UnknownFormatError:
extension = original_extension
else:
if suggested_extension.lower() == original_extension.lower():
extension = original_extension
else:
try:
original_format = extension_to_format(original_extension)
except UnknownExtensionError:
extension = suggested_extension
else:
# If the formats match, give precedence to the original extension.
if format.lower() == original_format.lower():
extension = original_extension
else:
extension = suggested_extension
return extension
def save_image(img, outfile, format, options=None, autoconvert=True):
"""
Wraps PIL's ``Image.save()`` method. There are two main benefits of using
this function over PIL's:
1. It gracefully handles the infamous "Suspension not allowed here" errors.
2. It prepares the image for saving using ``prepare_image()``, which will do
some common-sense processing given the target format.
"""
options = options or {}
if autoconvert:
img, save_kwargs = prepare_image(img, format)
options = dict(save_kwargs.items() + options.items())
# Attempt to reset the file pointer.
try:
outfile.seek(0)
except AttributeError:
pass
try:
with quiet():
img.save(outfile, format, **options)
except IOError:
# PIL can have problems saving large JPEGs if MAXBLOCK isn't big enough,
# So if we have a problem saving, we temporarily increase it. See
# http://github.com/jdriscoll/django-imagekit/issues/50
old_maxblock = ImageFile.MAXBLOCK
ImageFile.MAXBLOCK = img.size[0] * img.size[1]
try:
img.save(outfile, format, **options)
finally:
ImageFile.MAXBLOCK = old_maxblock
try:
outfile.seek(0)
except AttributeError:
pass
return outfile
class quiet(object):
"""
A context manager for suppressing the stderr activity of PIL's C libraries.
Based on http://stackoverflow.com/a/978264/155370
"""
def __enter__(self):
self.stderr_fd = sys.__stderr__.fileno()
self.null_fd = os.open(os.devnull, os.O_RDWR)
self.old = os.dup(self.stderr_fd)
os.dup2(self.null_fd, self.stderr_fd)
def __exit__(self, *args, **kwargs):
os.dup2(self.old, self.stderr_fd)
os.close(self.null_fd)
def prepare_image(img, format):
"""
Prepares the image for saving to the provided format by doing some
common-sense conversions. This includes things like preserving transparency
and quantizing. This function is used automatically by ``save_image()``
(and classes like ``ImageSpecField`` and ``ProcessedImageField``)
immediately before saving unless you specify ``autoconvert=False``. It is
provided as a utility for those doing their own processing.
:param img: The image to prepare for saving.
:param format: The format that the image will be saved to.
"""
matte = False
save_kwargs = {}
if img.mode == 'RGBA':
if format in RGBA_TRANSPARENCY_FORMATS:
pass
elif format in PALETTE_TRANSPARENCY_FORMATS:
# If you're going from a format with alpha transparency to one
# with palette transparency, transparency values will be
# snapped: pixels that are more opaque than not will become
# fully opaque; pixels that are more transparent than not will
# become fully transparent. This will not produce a good-looking
# result if your image contains varying levels of opacity; in
# that case, you'll probably want to use a processor to matte
# the image on a solid color. The reason we don't matte by
# default is because not doing so allows processors to treat
# RGBA-format images as a super-type of P-format images: if you
# have an RGBA-format image with only a single transparent
# color, and save it as a GIF, it will retain its transparency.
# In other words, a P-format image converted to an
# RGBA-formatted image by a processor and then saved as a
# P-format image will give the expected results.
# Work around a bug in PIL: split() doesn't check to see if
# img is loaded.
img.load()
alpha = img.split()[-1]
mask = Image.eval(alpha, lambda a: 255 if a <= 128 else 0)
img = img.convert('RGB').convert('P', palette=Image.ADAPTIVE,
colors=255)
img.paste(255, mask)
save_kwargs['transparency'] = 255
else:
# Simply converting an RGBA-format image to an RGB one creates a
# gross result, so we matte the image on a white background. If
# that's not what you want, that's fine: use a processor to deal
# with the transparency however you want. This is simply a
# sensible default that will always produce something that looks
# good. Or at least, it will look better than just a straight
# conversion.
matte = True
elif img.mode == 'P':
if format in PALETTE_TRANSPARENCY_FORMATS:
try:
save_kwargs['transparency'] = img.info['transparency']
except KeyError:
pass
elif format in RGBA_TRANSPARENCY_FORMATS:
# Currently PIL doesn't support any RGBA-mode formats that
# aren't also P-mode formats, so this will never happen.
img = img.convert('RGBA')
else:
matte = True
else:
img = img.convert('RGB')
# GIFs are always going to be in palette mode, so we can do a little
# optimization. Note that the RGBA sources also use adaptive
# quantization (above). Images that are already in P mode don't need
# any quantization because their colors are already limited.
if format == 'GIF':
img = img.convert('P', palette=Image.ADAPTIVE)
if matte:
img = img.convert('RGBA')
bg = Image.new('RGBA', img.size, (255, 255, 255))
bg.paste(img, img)
img = bg.convert('RGB')
if format == 'JPEG':
save_kwargs['optimize'] = True
return img, save_kwargs

1
requirements.txt Normal file
View file

@ -0,0 +1 @@
Django >= 1.3.1

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@ -1,2 +0,0 @@
[bdist_wheel]
universal = 1

View file

@ -1,67 +1,33 @@
#!/usr/bin/env python #/usr/bin/env python
import codecs import codecs
import os import os
from setuptools import setup, find_packages
import sys import sys
from setuptools import setup, find_packages
# Workaround for multiprocessing/nose issue. See http://bugs.python.org/msg170215
try:
import multiprocessing # NOQA
except ImportError:
pass
if 'publish' in sys.argv: if 'publish' in sys.argv:
os.system('python setup.py sdist bdist_wheel upload') os.system('python setup.py sdist upload')
sys.exit() sys.exit()
read = lambda filepath: codecs.open(filepath, 'r', 'utf-8').read() read = lambda filepath: codecs.open(filepath, 'r', 'utf-8').read()
# Dynamically calculate the version based on imagekit.VERSION.
def exec_file(filepath, globalz=None, localz=None): version = __import__('imagekit').get_version()
exec(read(filepath), globalz, localz)
# Load package meta from the pkgmeta module without loading imagekit.
pkgmeta = {}
exec_file(os.path.join(os.path.dirname(__file__),
'imagekit', 'pkgmeta.py'), pkgmeta)
setup( setup(
name='django-imagekit', name='django-imagekit',
version=pkgmeta['__version__'], version=version,
description='Automated image processing for Django models.', description='Automated image processing for Django models.',
long_description=read(os.path.join(os.path.dirname(__file__), 'README.rst')), long_description=read(os.path.join(os.path.dirname(__file__), 'README.rst')),
author='Matthew Tretter', author='Justin Driscoll',
author_email='m@tthewwithanm.com', author_email='justin@driscolldev.com',
maintainer='Bryan Veloso', maintainer='Bryan Veloso',
maintainer_email='bryan@revyver.com', maintainer_email='bryan@revyver.com',
license='BSD', license='BSD',
url='http://github.com/matthewwithanm/django-imagekit/', url='http://github.com/jdriscoll/django-imagekit/',
packages=find_packages(exclude=['*.tests', '*.tests.*', 'tests.*', 'tests']), packages=find_packages(),
zip_safe=False, zip_safe=False,
include_package_data=True, include_package_data=True,
tests_require=[
'beautifulsoup4>=4.4.0',
'nose>=1.3.6',
'nose-progressive>=1.5.1',
'django-nose>=1.4',
'Pillow',
'mock>=1.0.1',
],
test_suite='testrunner.run_tests',
install_requires=[
'django-appconf>=0.5',
'pilkit>=0.2.0',
'six',
],
extras_require={
'async': ['django-celery>=3.0'],
'async_rq': ['django-rq>=0.6.0'],
},
classifiers=[ classifiers=[
'Development Status :: 5 - Production/Stable', 'Development Status :: 5 - Production/Stable',
'Environment :: Web Environment', 'Environment :: Web Environment',
@ -69,12 +35,9 @@ setup(
'Intended Audience :: Developers', 'Intended Audience :: Developers',
'License :: OSI Approved :: BSD License', 'License :: OSI Approved :: BSD License',
'Operating System :: OS Independent', 'Operating System :: OS Independent',
'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.5',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Topic :: Utilities' 'Topic :: Utilities'
], ],
) )

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@ -1,22 +0,0 @@
# A wrapper for Django's test runner.
# See http://ericholscher.com/blog/2009/jun/29/enable-setuppy-test-your-django-apps/
# and http://gremu.net/blog/2010/enable-setuppy-test-your-django-apps/
import os
import sys
os.environ['DJANGO_SETTINGS_MODULE'] = 'tests.settings'
test_dir = os.path.dirname(__file__)
sys.path.insert(0, test_dir)
from django.test.utils import get_runner
from django.conf import settings
def run_tests():
cls = get_runner(settings)
runner = cls()
failures = runner.run_tests(['tests'])
# Clean autogenerated junk before exit
from tests.utils import clear_imagekit_test_files
clear_imagekit_test_files()
sys.exit(failures)

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tests/core/models.py Normal file
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@ -0,0 +1,34 @@
from django.db import models
from imagekit.models import ImageSpecField
from imagekit.processors import Adjust
from imagekit.processors import ResizeToFill
from imagekit.processors import SmartCrop
class Photo(models.Model):
original_image = models.ImageField(upload_to='photos')
thumbnail = ImageSpecField([Adjust(contrast=1.2, sharpness=1.1),
ResizeToFill(50, 50)], image_field='original_image', format='JPEG',
options={'quality': 90})
smartcropped_thumbnail = ImageSpecField([Adjust(contrast=1.2,
sharpness=1.1), SmartCrop(50, 50)], image_field='original_image',
format='JPEG', options={'quality': 90})
class AbstractImageModel(models.Model):
original_image = models.ImageField(upload_to='photos')
abstract_class_spec = ImageSpecField()
class Meta:
abstract = True
class ConcreteImageModel1(AbstractImageModel):
first_spec = ImageSpecField()
class ConcreteImageModel2(AbstractImageModel):
second_spec = ImageSpecField()

93
tests/core/tests.py Normal file
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@ -0,0 +1,93 @@
from __future__ import with_statement
import os
import pickle
from StringIO import StringIO
from django.test import TestCase
from imagekit import utils
from .models import (Photo, AbstractImageModel, ConcreteImageModel1,
ConcreteImageModel2)
from .testutils import generate_lenna, create_photo
class IKTest(TestCase):
def generate_image(self):
tmp = tempfile.TemporaryFile()
Image.new('RGB', (800, 600)).save(tmp, 'JPEG')
tmp.seek(0)
return tmp
def setUp(self):
self.photo = create_photo('test.jpg')
def test_nodelete(self):
"""Don't delete the spec file when the source image hasn't changed.
"""
filename = self.photo.thumbnail.file.name
thumbnail_timestamp = os.path.getmtime(filename)
self.photo.save()
self.assertTrue(self.photo.thumbnail.storage.exists(filename))
def test_save_image(self):
photo = Photo.objects.get(id=self.photo.id)
self.assertTrue(os.path.isfile(photo.original_image.path))
def test_setup(self):
self.assertEqual(self.photo.original_image.width, 800)
self.assertEqual(self.photo.original_image.height, 600)
def test_thumbnail_creation(self):
photo = Photo.objects.get(id=self.photo.id)
self.assertTrue(os.path.isfile(photo.thumbnail.file.name))
def test_thumbnail_size(self):
""" Explicit and smart-cropped thumbnail size """
self.assertEqual(self.photo.thumbnail.width, 50)
self.assertEqual(self.photo.thumbnail.height, 50)
self.assertEqual(self.photo.smartcropped_thumbnail.width, 50)
self.assertEqual(self.photo.smartcropped_thumbnail.height, 50)
def test_thumbnail_source_file(self):
self.assertEqual(
self.photo.thumbnail.source_file, self.photo.original_image)
class IKUtilsTest(TestCase):
def test_extension_to_format(self):
self.assertEqual(utils.extension_to_format('.jpeg'), 'JPEG')
self.assertEqual(utils.extension_to_format('.rgba'), 'SGI')
with self.assertRaises(utils.UnknownExtensionError):
utils.extension_to_format('.txt')
def test_format_to_extension_no_init(self):
self.assertEqual(utils.format_to_extension('PNG'), '.png')
self.assertEqual(utils.format_to_extension('ICO'), '.ico')
with self.assertRaises(utils.UnknownFormatError):
utils.format_to_extension('TXT')
class PickleTest(TestCase):
def test_source_file(self):
ph = create_photo('pickletest.jpg')
pickled_model = StringIO()
pickle.dump(ph, pickled_model)
pickled_model.seek(0)
unpickled_model = pickle.load(pickled_model)
# This isn't supposed to error.
unpickled_model.thumbnail.source_file
class InheritanceTest(TestCase):
def test_abstract_base(self):
self.assertEqual(set(AbstractImageModel._ik.spec_fields),
set(['abstract_class_spec']))
self.assertEqual(set(ConcreteImageModel1._ik.spec_fields),
set(['abstract_class_spec', 'first_spec']))
self.assertEqual(set(ConcreteImageModel2._ik.spec_fields),
set(['abstract_class_spec', 'second_spec']))

38
tests/core/testutils.py Normal file
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@ -0,0 +1,38 @@
import os
import tempfile
from django.core.files.base import ContentFile
from imagekit.lib import Image
from .models import Photo
def generate_lenna():
"""
See also:
http://en.wikipedia.org/wiki/Lenna
http://sipi.usc.edu/database/database.php?volume=misc&image=12
"""
tmp = tempfile.TemporaryFile()
lennapath = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'assets', 'lenna-800x600-white-border.jpg')
with open(lennapath, "r+b") as lennafile:
Image.open(lennafile).save(tmp, 'JPEG')
tmp.seek(0)
return tmp
def create_instance(model_class, image_name):
instance = model_class()
img = generate_lenna()
file = ContentFile(img.read())
instance.original_image = file
instance.original_image.save(image_name, file)
instance.save()
img.close()
return instance
def create_photo(name):
return create_instance(Photo, name)

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@ -1,16 +0,0 @@
from imagekit import ImageSpec, register
from imagekit.processors import ResizeToFill
class TestSpec(ImageSpec):
pass
class ResizeTo1PixelSquare(ImageSpec):
def __init__(self, width=None, height=None, anchor=None, crop=None, **kwargs):
self.processors = [ResizeToFill(1, 1)]
super(ResizeTo1PixelSquare, self).__init__(**kwargs)
register.generator('testspec', TestSpec)
register.generator('1pxsq', ResizeTo1PixelSquare)

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@ -1,72 +0,0 @@
from django.db import models
from imagekit import ImageSpec
from imagekit.models import ProcessedImageField
from imagekit.models import ImageSpecField
from imagekit.processors import Adjust, ResizeToFill, SmartCrop
class Thumbnail(ImageSpec):
processors = [ResizeToFill(100, 60)]
format = 'JPEG'
options = {'quality': 60}
class ImageModel(models.Model):
image = models.ImageField(upload_to='b')
class Photo(models.Model):
original_image = models.ImageField(upload_to='photos')
# Implicit source field
thumbnail = ImageSpecField([Adjust(contrast=1.2, sharpness=1.1),
ResizeToFill(50, 50)], format='JPEG',
options={'quality': 90})
smartcropped_thumbnail = ImageSpecField([Adjust(contrast=1.2,
sharpness=1.1), SmartCrop(50, 50)], source='original_image',
format='JPEG', options={'quality': 90})
class ProcessedImageFieldModel(models.Model):
processed = ProcessedImageField([SmartCrop(50, 50)], format='JPEG',
options={'quality': 90}, upload_to='p')
class ProcessedImageFieldWithSpecModel(models.Model):
processed = ProcessedImageField(spec=Thumbnail, upload_to='p')
class CountingCacheFileStrategy(object):
def __init__(self):
self.on_existence_required_count = 0
self.on_content_required_count = 0
self.on_source_saved_count = 0
def on_existence_required(self, file):
self.on_existence_required_count += 1
def on_content_required(self, file):
self.on_content_required_count += 1
def on_source_saved(self, file):
self.on_source_saved_count += 1
class AbstractImageModel(models.Model):
original_image = models.ImageField(upload_to='photos')
abstract_class_spec = ImageSpecField(source='original_image',
format='JPEG',
cachefile_strategy=CountingCacheFileStrategy())
class Meta:
abstract = True
class ConcreteImageModel(AbstractImageModel):
pass
class ConcreteImageModelSubclass(ConcreteImageModel):
pass

6
tests/run_tests.sh Executable file
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@ -0,0 +1,6 @@
#!/bin/bash
PYTHONPATH=$PWD:$PWD/..${PYTHONPATH:+:$PYTHONPATH}
export PYTHONPATH
echo "Running django-imagekit tests..."
django-admin.py test core --settings=settings

View file

@ -21,49 +21,13 @@ DATABASES = {
}, },
} }
SECRET_KEY = '_uobce43e5osp8xgzle*yag2_16%y$sf*5(12vfg25hpnxik_*'
INSTALLED_APPS = [ INSTALLED_APPS = [
'django.contrib.auth', 'django.contrib.auth',
'django.contrib.contenttypes', 'django.contrib.contenttypes',
'imagekit', 'imagekit',
'tests', 'core',
'django_nose',
] ]
TEST_RUNNER = 'django_nose.NoseTestSuiteRunner' DEBUG = True
NOSE_ARGS = [ TEMPLATE_DEBUG = DEBUG
'-s',
# When the tests are run --with-coverage, these args configure coverage
# reporting (requires coverage to be installed).
# Without the --with-coverage flag, they have no effect.
'--cover-tests',
'--cover-html',
'--cover-package=imagekit',
'--cover-html-dir=%s' % os.path.join(BASE_PATH, 'cover')
]
if os.getenv('TERM'):
NOSE_ARGS.append('--with-progressive')
CACHE_BACKEND = 'locmem://' CACHE_BACKEND = 'locmem://'
# Django >= 1.8
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.contrib.auth.context_processors.auth',
'django.template.context_processors.debug',
'django.template.context_processors.i18n',
'django.template.context_processors.media',
'django.template.context_processors.static',
'django.template.context_processors.tz',
'django.contrib.messages.context_processors.messages',
],
},
},
]

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@ -1,9 +0,0 @@
from imagekit.utils import get_nonabstract_descendants
from nose.tools import eq_
from . models import (AbstractImageModel, ConcreteImageModel,
ConcreteImageModelSubclass)
def test_nonabstract_descendants_generator():
descendants = list(get_nonabstract_descendants(AbstractImageModel))
eq_(descendants, [ConcreteImageModel, ConcreteImageModelSubclass])

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@ -1,115 +0,0 @@
from unittest import mock
from django.conf import settings
from hashlib import md5
from imagekit.cachefiles import ImageCacheFile, LazyImageCacheFile
from imagekit.cachefiles.backends import Simple
from imagekit.lib import force_bytes
from nose.tools import raises, eq_
from .imagegenerators import TestSpec
from .utils import (assert_file_is_truthy, assert_file_is_falsy,
DummyAsyncCacheFileBackend, get_unique_image_file,
get_image_file)
def test_no_source_falsiness():
"""
Ensure cache files generated from sourceless specs are falsy.
"""
spec = TestSpec(source=None)
file = ImageCacheFile(spec)
assert_file_is_falsy(file)
def test_sync_backend_truthiness():
"""
Ensure that a cachefile with a synchronous cache file backend (the default)
is truthy.
"""
spec = TestSpec(source=get_unique_image_file())
file = ImageCacheFile(spec)
assert_file_is_truthy(file)
def test_async_backend_falsiness():
"""
Ensure that a cachefile with an asynchronous cache file backend is falsy.
"""
spec = TestSpec(source=get_unique_image_file())
file = ImageCacheFile(spec, cachefile_backend=DummyAsyncCacheFileBackend())
assert_file_is_falsy(file)
@raises(TestSpec.MissingSource)
def test_no_source_error():
spec = TestSpec(source=None)
file = ImageCacheFile(spec)
file.generate()
def test_repr_does_not_send_existence_required():
"""
Ensure that `__repr__` method does not send `existance_required` signal
Cachefile strategy may be configured to generate file on
`existance_required`.
To generate images, backend passes `ImageCacheFile` instance to worker.
Both celery and RQ calls `__repr__` method for each argument to enque call.
And if `__repr__` of object will send this signal, we will get endless
recursion
"""
with mock.patch('imagekit.cachefiles.existence_required') as signal:
# import here to apply mock
from imagekit.cachefiles import ImageCacheFile
spec = TestSpec(source=get_unique_image_file())
file = ImageCacheFile(
spec,
cachefile_backend=DummyAsyncCacheFileBackend()
)
file.__repr__()
eq_(signal.send.called, False)
def test_memcached_cache_key():
"""
Ensure the default cachefile backend is sanitizing its cache key for
memcached by default.
"""
class MockFile(object):
def __init__(self, name):
self.name = name
backend = Simple()
extra_char_count = len('state-') + len(settings.IMAGEKIT_CACHE_PREFIX)
length = 199 - extra_char_count
filename = '1' * length
file = MockFile(filename)
eq_(backend.get_key(file), '%s%s-state' %
(settings.IMAGEKIT_CACHE_PREFIX, file.name))
length = 200 - extra_char_count
filename = '1' * length
file = MockFile(filename)
eq_(backend.get_key(file), '%s%s:%s' % (
settings.IMAGEKIT_CACHE_PREFIX,
'1' * (200 - len(':') - 32 - len(settings.IMAGEKIT_CACHE_PREFIX)),
md5(force_bytes('%s%s-state' % (settings.IMAGEKIT_CACHE_PREFIX, filename))).hexdigest()))
def test_lazyfile_stringification():
file = LazyImageCacheFile('testspec', source=None)
eq_(str(file), '')
eq_(repr(file), '<ImageCacheFile: None>')
source_file = get_image_file()
file = LazyImageCacheFile('testspec', source=source_file)
file.name = 'a.jpg'
eq_(str(file), 'a.jpg')
eq_(repr(file), '<ImageCacheFile: a.jpg>')

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@ -1,25 +0,0 @@
from nose.tools import assert_false, assert_true
from .models import Thumbnail
from .utils import create_photo
def test_do_not_leak_open_files():
instance = create_photo('leak-test.jpg')
source_file = instance.original_image
# Ensure the FieldFile is closed before generation
source_file.close()
image_generator = Thumbnail(source=source_file)
image_generator.generate()
assert_true(source_file.closed)
def test_do_not_close_open_files_after_generate():
instance = create_photo('do-not-close-test.jpg')
source_file = instance.original_image
# Ensure the FieldFile is opened before generation
source_file.open()
image_generator = Thumbnail(source=source_file)
image_generator.generate()
assert_false(source_file.closed)
source_file.close()

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@ -1,49 +0,0 @@
from django import forms
from django.core.files.base import File
from django.core.files.uploadedfile import SimpleUploadedFile
from imagekit import forms as ikforms
from imagekit.processors import SmartCrop
from nose.tools import eq_
from . import imagegenerators # noqa
from .models import (ProcessedImageFieldModel,
ProcessedImageFieldWithSpecModel,
ImageModel)
from .utils import get_image_file
def test_model_processedimagefield():
instance = ProcessedImageFieldModel()
file = File(get_image_file())
instance.processed.save('whatever.jpeg', file)
instance.save()
eq_(instance.processed.width, 50)
eq_(instance.processed.height, 50)
def test_model_processedimagefield_with_spec():
instance = ProcessedImageFieldWithSpecModel()
file = File(get_image_file())
instance.processed.save('whatever.jpeg', file)
instance.save()
eq_(instance.processed.width, 100)
eq_(instance.processed.height, 60)
def test_form_processedimagefield():
class TestForm(forms.ModelForm):
image = ikforms.ProcessedImageField(spec_id='tests:testform_image',
processors=[SmartCrop(50, 50)], format='JPEG')
class Meta:
model = ImageModel
fields = 'image',
upload_file = get_image_file()
file_dict = {'image': SimpleUploadedFile('abc.jpg', upload_file.read())}
form = TestForm({}, file_dict)
instance = form.save()
eq_(instance.image.width, 50)
eq_(instance.image.height, 50)

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@ -1,56 +0,0 @@
from django.template import TemplateSyntaxError
from nose.tools import eq_, assert_false, raises, assert_not_equal
from . import imagegenerators # noqa
from .utils import render_tag, get_html_attrs, clear_imagekit_cache
def test_img_tag():
ttag = r"""{% generateimage 'testspec' source=img %}"""
clear_imagekit_cache()
attrs = get_html_attrs(ttag)
expected_attrs = set(['src', 'width', 'height'])
eq_(set(attrs.keys()), expected_attrs)
for k in expected_attrs:
assert_not_equal(attrs[k].strip(), '')
def test_img_tag_attrs():
ttag = r"""{% generateimage 'testspec' source=img -- alt="Hello" %}"""
clear_imagekit_cache()
attrs = get_html_attrs(ttag)
eq_(attrs.get('alt'), 'Hello')
@raises(TemplateSyntaxError)
def test_dangling_html_attrs_delimiter():
ttag = r"""{% generateimage 'testspec' source=img -- %}"""
render_tag(ttag)
@raises(TemplateSyntaxError)
def test_html_attrs_assignment():
"""
You can either use generateimage as an assignment tag or specify html attrs,
but not both.
"""
ttag = r"""{% generateimage 'testspec' source=img -- alt="Hello" as th %}"""
render_tag(ttag)
def test_single_dimension_attr():
"""
If you only provide one of width or height, the other should not be added.
"""
ttag = r"""{% generateimage 'testspec' source=img -- width="50" %}"""
clear_imagekit_cache()
attrs = get_html_attrs(ttag)
assert_false('height' in attrs)
def test_assignment_tag():
ttag = r"""{% generateimage 'testspec' source=img as th %}{{ th.url }}{{ th.height }}{{ th.width }}"""
clear_imagekit_cache()
html = render_tag(ttag)
assert_not_equal(html.strip(), '')

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@ -1,16 +0,0 @@
from nose.tools import assert_false
from unittest.mock import Mock, PropertyMock, patch
from .models import Photo
def test_dont_access_source():
"""
Touching the source may trigger an unneeded query.
See <https://github.com/matthewwithanm/django-imagekit/issues/295>
"""
pmock = PropertyMock()
pmock.__get__ = Mock()
with patch.object(Photo, 'original_image', pmock):
photo = Photo() # noqa
assert_false(pmock.__get__.called)

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@ -1,49 +0,0 @@
from nose.tools import assert_true, assert_false
from imagekit.cachefiles import ImageCacheFile
from unittest.mock import Mock
from .utils import create_image
from django.core.files.storage import FileSystemStorage
from imagekit.cachefiles.backends import Simple as SimpleCFBackend
from imagekit.cachefiles.strategies import Optimistic as OptimisticStrategy
class ImageGenerator(object):
def generate(self):
return create_image()
def get_hash(self):
return 'abc123'
def get_image_cache_file():
storage = Mock(FileSystemStorage)
backend = SimpleCFBackend()
strategy = OptimisticStrategy()
generator = ImageGenerator()
return ImageCacheFile(generator, storage=storage,
cachefile_backend=backend,
cachefile_strategy=strategy)
def test_no_io_on_bool():
"""
When checking the truthiness of an ImageCacheFile, the storage shouldn't
peform IO operations.
"""
file = get_image_cache_file()
bool(file)
assert_false(file.storage.exists.called)
assert_false(file.storage.open.called)
def test_no_io_on_url():
"""
When getting the URL of an ImageCacheFile, the storage shouldn't be
checked.
"""
file = get_image_cache_file()
file.url
assert_false(file.storage.exists.called)
assert_false(file.storage.open.called)

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@ -1,43 +0,0 @@
"""
Make sure that the various IK classes can be successfully serialized and
deserialized. This is important when using IK with Celery.
"""
from imagekit.cachefiles import ImageCacheFile
from .imagegenerators import TestSpec
from .utils import create_photo, pickleback, get_unique_image_file, clear_imagekit_cache
def test_imagespecfield():
clear_imagekit_cache()
instance = create_photo('pickletest2.jpg')
thumbnail = pickleback(instance.thumbnail)
thumbnail.generate()
def test_circular_ref():
"""
A model instance with a spec field in its dict shouldn't raise a KeyError.
This corresponds to #234
"""
clear_imagekit_cache()
instance = create_photo('pickletest3.jpg')
instance.thumbnail # Cause thumbnail to be added to instance's __dict__
pickleback(instance)
def test_cachefiles():
clear_imagekit_cache()
spec = TestSpec(source=get_unique_image_file())
file = ImageCacheFile(spec)
file.url
# remove link to file from spec source generator
# test __getstate__ of ImageCacheFile
file.generator.source = None
restored_file = pickleback(file)
assert file is not restored_file
# Assertion for #437 and #451
assert file.storage is restored_file.storage

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@ -1,55 +0,0 @@
from django.core.files import File
from imagekit.signals import source_saved
from imagekit.specs.sourcegroups import ImageFieldSourceGroup
from nose.tools import eq_
from . models import AbstractImageModel, ImageModel, ConcreteImageModel
from .utils import get_image_file
def make_counting_receiver(source_group):
def receiver(sender, *args, **kwargs):
if sender is source_group:
receiver.count += 1
receiver.count = 0
return receiver
def test_source_saved_signal():
"""
Creating a new instance with an image causes the source_saved signal to be
dispatched.
"""
source_group = ImageFieldSourceGroup(ImageModel, 'image')
receiver = make_counting_receiver(source_group)
source_saved.connect(receiver)
ImageModel.objects.create(image=File(get_image_file()))
eq_(receiver.count, 1)
def test_no_source_saved_signal():
"""
Creating a new instance without an image shouldn't cause the source_saved
signal to be dispatched.
https://github.com/matthewwithanm/django-imagekit/issues/214
"""
source_group = ImageFieldSourceGroup(ImageModel, 'image')
receiver = make_counting_receiver(source_group)
source_saved.connect(receiver)
ImageModel.objects.create()
eq_(receiver.count, 0)
def test_abstract_model_signals():
"""
Source groups created for abstract models must cause signals to be
dispatched on their concrete subclasses.
"""
source_group = ImageFieldSourceGroup(AbstractImageModel, 'original_image')
receiver = make_counting_receiver(source_group)
source_saved.connect(receiver)
ConcreteImageModel.objects.create(original_image=File(get_image_file()))
eq_(receiver.count, 1)

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@ -1,71 +0,0 @@
from django.template import TemplateSyntaxError
from nose.tools import eq_, raises, assert_not_equal
from . import imagegenerators # noqa
from .utils import render_tag, get_html_attrs, clear_imagekit_cache
def test_img_tag():
ttag = r"""{% thumbnail '100x100' img %}"""
clear_imagekit_cache()
attrs = get_html_attrs(ttag)
expected_attrs = set(['src', 'width', 'height'])
eq_(set(attrs.keys()), expected_attrs)
for k in expected_attrs:
assert_not_equal(attrs[k].strip(), '')
def test_img_tag_attrs():
ttag = r"""{% thumbnail '100x100' img -- alt="Hello" %}"""
clear_imagekit_cache()
attrs = get_html_attrs(ttag)
eq_(attrs.get('alt'), 'Hello')
@raises(TemplateSyntaxError)
def test_dangling_html_attrs_delimiter():
ttag = r"""{% thumbnail '100x100' img -- %}"""
render_tag(ttag)
@raises(TemplateSyntaxError)
def test_not_enough_args():
ttag = r"""{% thumbnail '100x100' %}"""
render_tag(ttag)
@raises(TemplateSyntaxError)
def test_too_many_args():
ttag = r"""{% thumbnail 'generator_id' '100x100' img 'extra' %}"""
render_tag(ttag)
@raises(TemplateSyntaxError)
def test_html_attrs_assignment():
"""
You can either use thumbnail as an assignment tag or specify html attrs,
but not both.
"""
ttag = r"""{% thumbnail '100x100' img -- alt="Hello" as th %}"""
render_tag(ttag)
def test_assignment_tag():
ttag = r"""{% thumbnail '100x100' img as th %}{{ th.url }}"""
clear_imagekit_cache()
html = render_tag(ttag)
assert_not_equal(html, '')
def test_single_dimension():
ttag = r"""{% thumbnail '100x' img as th %}{{ th.width }}"""
clear_imagekit_cache()
html = render_tag(ttag)
eq_(html, '100')
def test_alternate_generator():
ttag = r"""{% thumbnail '1pxsq' '100x' img as th %}{{ th.width }}"""
clear_imagekit_cache()
html = render_tag(ttag)
eq_(html, '1')

View file

@ -1,106 +0,0 @@
from bs4 import BeautifulSoup
import os
import shutil
from django.core.files import File
from django.template import Context, Template
from imagekit.cachefiles.backends import Simple, CacheFileState
from imagekit.conf import settings
from imagekit.lib import Image, StringIO
from imagekit.utils import get_cache
from nose.tools import assert_true, assert_false
import pickle
from tempfile import NamedTemporaryFile
from .models import Photo
def get_image_file():
"""
See also:
http://en.wikipedia.org/wiki/Lenna
http://sipi.usc.edu/database/database.php?volume=misc&image=12
https://lintian.debian.org/tags/license-problem-non-free-img-lenna.html
https://github.com/libav/libav/commit/8895bf7b78650c0c21c88cec0484e138ec511a4b
"""
path = os.path.join(settings.MEDIA_ROOT, 'reference.png')
return open(path, 'r+b')
def get_unique_image_file():
file = NamedTemporaryFile()
file.write(get_image_file().read())
return file
def create_image():
return Image.open(get_image_file())
def create_instance(model_class, image_name):
instance = model_class()
img = File(get_image_file())
instance.original_image.save(image_name, img)
instance.save()
img.close()
return instance
def create_photo(name):
return create_instance(Photo, name)
def pickleback(obj):
pickled = StringIO()
pickle.dump(obj, pickled)
pickled.seek(0)
return pickle.load(pickled)
def render_tag(ttag):
img = get_image_file()
template = Template('{%% load imagekit %%}%s' % ttag)
context = Context({'img': img})
return template.render(context)
def get_html_attrs(ttag):
return BeautifulSoup(render_tag(ttag), features="html.parser").img.attrs
def assert_file_is_falsy(file):
assert_false(bool(file), 'File is not falsy')
def assert_file_is_truthy(file):
assert_true(bool(file), 'File is not truthy')
class DummyAsyncCacheFileBackend(Simple):
"""
A cache file backend meant to simulate async generation.
"""
is_async = True
def generate(self, file, force=False):
pass
def clear_imagekit_cache():
cache = get_cache()
cache.clear()
# Clear IMAGEKIT_CACHEFILE_DIR
cache_dir = os.path.join(settings.MEDIA_ROOT, settings.IMAGEKIT_CACHEFILE_DIR)
if os.path.exists(cache_dir):
shutil.rmtree(cache_dir)
def clear_imagekit_test_files():
clear_imagekit_cache()
for fname in os.listdir(settings.MEDIA_ROOT):
if fname != 'reference.png':
path = os.path.join(settings.MEDIA_ROOT, fname)
if os.path.isdir(path):
shutil.rmtree(path)
else:
os.remove(path)

37
tox.ini
View file

@ -1,18 +1,31 @@
[tox] [tox]
envlist = envlist =
py38-django{master,30,22,21,20,111}, py27-django13,
py37-django{master,30,22,21,20,111}, py27-django12,
py36-django{master,30,22,21,20,111}, py26-django13,
py35-django{21,20,111}, py26-django12
[testenv] [testenv]
commands = python setup.py test changedir = tests
setenv = PYTHONPATH = {toxinidir}/tests
commands = django-admin.py test core --settings=settings
[testenv:py27-django13]
deps = deps =
djangomaster: git+https://github.com/django/django.git@master#egg=Django Django>=1.3,<=1.4
django30: Django>=3.0,<3.1 Pillow
django22: Django>=2.2,<3.0
django21: Django>=2.1,<2.2 [testenv:py27-django12]
django20: Django>=2.0,<2.1 deps =
django111: Django>=1.11,<2.0 Django>=1.2,<=1.3
django{21,20,111}: django-nose==1.4.5 Pillow
[testenv:py26-django13]
deps =
Django>=1.3,<=1.4
Pillow
[testenv:py26-django12]
deps =
Django>=1.2,<=1.3
Pillow