Python SDK for ImageKit that implements the new APIs and interface for performing different file operations.
ImageKit is a complete image optimization and transformation solution that comes with and image CDN and media storage. It can be integrated with your existing infrastructure - storages like AWS s3, web servers, your CDN and custom domain names, allowing you to deliver optimize images in minutes with minimal code changes.
Table of contents -
- Installation
- Initialization
- URL generation
- File upload
- File management
- Utility functions
- Support
- Links
Go to your terminal and type the following command
pip install imagekitio
from imagekitio import ImageKit
imagekit = ImageKit(
private_key='your private_key',
public_key='your public_key',
url_endpoint = 'your url_endpoint'
)
You can use this Python SDK for 3 different kinds of methods - URL generation, file upload and file management. The usage of the SDK has been explained below
1. Using Image path and image hostname or endpoint
This method allows you to create a URL using the path where the image exists and the URL endpoint(url_endpoint) you want to use to access the image. You can refer to the documentation here to read more about URL endpoints in ImageKit and the section about image origins to understand about paths with different kinds of origins.
imagekit_url = imagekit.url({
"path": "/default-image.jpg",
"url_endpoint": "https://ik.imagekit.io/your_imagekit_id/endpoint/",
"transformation": [{"height": "300", "width": "400"}],
}
)
The result in a URL like
https://ik.imagekit.io/your_imagekit_id/endpoint/tr:h-300,w-400/default-image.jpg
2.Using full image URL
This method allows you to add transformation parameters to and existing, complete URL that is already mapped to ImageKit
using src
parameter. This method should be used if you have the complete image URL mapped to ImageKit stored in your
database.
image_url = imagekit.url({
"src": "https://ik.imagekit.io/your_imagekit_id/endpoint/default-image.jpg",
"transformation" : [{
"height": "300",
"width": "400"
}]
})
The results in a URL like
https://ik.imagekit.io/your_imagekit_id/endpoint/default-image.jpg?tr=h-300%2Cw-400
The .url()
method accepts the following parameters
Option | Description |
---|---|
url_endpoint | Optional. The base URL to be appended before the path of the image. If not specified, the URL Endpoint specified at the time of SDK initialization is used. For example, https://ik.imagekit.io/your_imagekit_id/endpoint/ |
path | Conditional. This is the path at which the image exists. For example, /path/to/image.jpg . Either the path or src parameter need to be specified for URL generation. |
src | Conditional. This is the complete URL of an image already mapped to ImageKit. For example, https://ik.imagekit.io/your_imagekit_id/endpoint/path/to/image.jpg . Either the path or src parameter need to be specified for URL generation. |
transformation | Optional. An array of objects specifying the transformation to be applied in the URL. The transformation name and the value should be specified as a key-value pair in the object. Different steps of a chained transformation can be specified as different objects of the array. The complete list of supported transformations in the SDK and some examples of using them are given later. If you use a transformation name that is not specified in the SDK, it gets applied as it is in the URL. |
transformation_position | Optional. Default value is path that places the transformation string as a path parameter in the URL. Can also be specified as query which adds the transformation string as the query parameter tr in the URL. If you use src parameter to create the URL, then the transformation string is always added as a query parameter. |
query_parameters | Optional. These are the other query parameters that you want to add to the final URL. These can be any query parameters and not necessarily related to ImageKit. Especially useful, if you want to add some versioning parameter to your URLs. |
signed | Optional. Boolean. Default is false . If set to true , the SDK generates a signed image URL adding the image signature to the image URL. This can only be used if you are creating the URL with the url_endpoint and path parameters, and not with the src parameter. |
expire_seconds | Optional. Integer. Meant to be used along with the signed parameter to specify the time in seconds from now when the URL should expire. If specified, the URL contains the expiry timestamp in the URL and the image signature is modified accordingly. |
1. Chained Transformations as a query parameter
image_url = imagekit.url({
"path": "/default-image.jpg",
"url_endpoint": "https://ik.imagekit.io/your_imagekit_id/endpoint/",
"transformation": [{
"height": "300",
"width": "400"
},
{
"rotation": 90
}],
"transformation_position ": "query"
})
Sample Result URL -
https://ik.imagekit.io/your_imagekit_id/endpoint/default-image.jpg?tr=h-300%2Cw-400%3Art-90
2. Sharpening and contrast transforms and a progressive JPG image
There are some transforms like Sharpening that can be added to the URL with or without any other value. To use such transforms without specifying a value, specify the value as "-" in the transformation object, otherwise, specify the value that you want to be added to this transformation.
image_url = imagekit.url({
"src": "https://ik.imagekit.io/your_imagekit_id/endpoint/default-image.jpg",
"transformation": [{
"format": "jpg",
"progressive": "true",
"effect_sharpen": "-",
"effect_contrast": "1"
}]
})
//Note that because `src` parameter was used, the transformation string gets added as a query parameter `tr`
https://ik.imagekit.io/your_imagekit_id/endpoint/default-image.jpg?tr=f-jpg%2Cpr-true%2Ce-sharpen%2Ce-contrast-1
3. Signed URL that expires in 300 seconds with the default URL endpoint and other query parameters
image_url = imagekit.url({
"path": "/default-image",
"query_parameters": {
"v": "123"
},
"transformation": [{
"height": "300",
"width": "400"
}],
"signed": True,
"expire_seconds": 300
})
Sample Result URL
https://ik.imagekit.io/your_imagekit_id/tr:h-300,w-400/default-image.jpg?v=123&ik-t=1567358667&ik-s=f2c7cdacbe7707b71a83d49cf1c6110e3d701054
List of transformations
The complete list of transformations supported and their usage in ImageKit can be found here.
The SDK gives a name to each transformation parameter, making the code simpler, making the code simpler and readable.
If a transformation is supported in ImageKit, but a name for it cannot be found in the table below, then use the
transformation code from ImageKit docs as the name when using in the url
function.
Supported Transformation Name | Translates to parameter |
---|---|
height | h |
width | w |
aspect_ratio | ar |
quality | q |
crop | c |
crop_mode | cm |
x | x |
y | y |
focus | fo |
format | f |
radius | r |
background | bg |
border | bo |
rotation | rt |
blur | bl |
named | n |
overlay_image | oi |
overlay_x | ox |
overlay_y | oy |
overlay_focus | ofo |
overlay_height | oh |
overlay_width | ow |
overlay_text | ot |
overlay_text_font_size | ots |
overlay_text_font_family | otf |
overlay_text_color | otc |
overlay_alpha | oa |
overlay_text_typography | ott |
overlay_background | obg |
overlay_image_trim | oit |
progressive | pr |
lossless | lo |
trim | t |
metadata | md |
color_profile | cp |
default_image | di |
dpr | dpr |
effect_sharpen | e-sharpen |
effect_usm | e-usm |
effect_contrast | e-contrast |
effect_gray | e-grayscale |
original | orig |
The SDK provides a simple interface using the .upload()
method to upload files to the ImageKit Media library. It
accepts all the parameters supported by the ImageKit Upload API.
The upload()
method requires at least the file
and the file_name
parameter to upload a file and returns
a callback with the error
and result
as arguments. You can pass other parameters supported by the
ImageKit upload API using the same parameter name as specified in the upload API documentation. For example, to
specify tags for a file at the time of upload use the tags parameter as specified in the
documentation here
Simple usage
imagekit.upload(
file = "<url|base_64|binary>", # required
file_name= "my_file_name.jpg" # required
)
Parameter |
Description |
file required |
This field accepts three kinds of values: - |
file_name required |
The name with which the file has to be uploaded. |
use_unique_file_name optional |
Whether to use a unique filename for this file or not. - Accepts |
tags optional |
Set the tags while uploading the file. - Comma-separated value of tags in format |
folder optional |
The folder path (e.g. |
is_private_file optional |
Whether to mark the file as private or not. This is only relevant for image type files. - Accepts |
custom_coordinates optional |
Define an important area in the image. This is only relevant for image type files.
|
response_fields optional |
Comma-separated values of the fields that you want ImageKit.io to return in response. For example, set the value of this field to |
The SDK provides a simple interface for all the media APIs mentioned here
to manage your files. This also returns error
and result
, error will be None
if API succeeds.
1. List & Search Files
Accepts an object specifying the parameters to be used to list and search files. All parameters specified in the documentation here can be passed as is with the correct values to get the results.
imagekit.list_files({
"skip": 10,
"limit": 10,
}
)
2. Get File Details Accepts the file ID and fetches the details as per the API documentation here
imagekit.get_file_details(file_id)
3. Get File Metadata Accepts the file ID and fetches the metadata as per the API documentation here
imagekit.get_metadata(file_id)
4. Update File Details
Update parameters associated with the file as per the API documentation here.
The first argument to the update_field_details
method is the file ID and the second argument is an object with the
parameters to be updated.
imagekit.update_file_details("file_id", {
"tags": ["image_tag"],
"custom_coordinates": "10,10,100, 100"
})
6. Delete File Delete a file as per the API documentation here. The method accepts the file ID of the file that has to be deleted.
imagekit.delete_file(file_id)
6. Purge Cache Programmatically issue a cache clear request as clear request as pet the API documentation here. Accepts the full URL of the file for which the cache has to be cleared.
imagekit.purge_cache(full_url)
7. Purge Cache Status
Get the purge cache request status using the request ID returned when a purge cache request gets submitted as pet the API documentation here
imagekit.get_purge_cache_status(cache_request_id)
We have included following commonly used utility functions in this package.
Authentication parameter generation
In case you are looking to implement client-side file upload, you are going to need a token, expiry timestamp and a valid signature for that upload. The SDK provides a simple method that you can use in your code to generate these authentication parameters for you.
Note: The Private API Key should never be exposed in any client-side code. You must always generate these authentication parameters on the server-side
authentication
authentication_parameters = imagekit.get_authentication_parameters(token, expire)
Returns
{
"token": "unique_token",
"expire": "valid_expiry_timestamp",
"signature": "generated_signature"
}
Both the token
and expire
parameters are optional. If not specified the SDK uses the uuid to generate a random
token and also generates a valid expiry timestamp internally. The value of the token and expire used to generate the
signature are always returned in the response, no matter if they are provided as an input to this method or not.
Distance calculation between two pHash values
Perceptual hashing allows you to constructing a has value that uniquely identifies an input image based on the contents of an image. imagekit.io metadata API returns the pHash value of an image in the response. You can use this value to find duplicate, near duplicate(similar) image by calculating distance between the two images.
This SDK exposes phash_distance function to calculate distance between two pHash value. It accepts two pHash hexadecimal strings and returns a numeric value indicative of the level of difference between the two images.
def calculate_distance():
# fetch metadata of two uploaded image files
...
# extract pHash strings from both: say 'first_hash' and 'second_hash'
...
# calculate the distance between them:
distance = imagekit.phash_distance(first_hash, second_hash)
return distance
Distance calculation examples
imagekit.phash_distance('f06830ca9f1e3e90', 'f06830ca9f1e3e90')
# output: 0 (ame image)
imagekit.phash_distance('2d5ad3936d2e015b', '2d6ed293db36a4fb')
# output: 17 (similar images)
imagekit.phash_distance('a4a65595ac94518b', '7838873e791f8400')
# output: 37 (dissimilar images)
To run sample
code go to sample directory and run
python sample.py
For any feedback or to report any issues or general implementation support please reach out to [email protected]
Released under the MIT license.