Python wrapper for Giphy API
Project description
giphypop is a wrapper around the Giphy api. It aims to provide a more intuitive, pythonic way for interacting with the Giphy api.
Requirements, Installing, and Compatibility
The only requirement, included in requirements.txt is for requests. If you are using pip, you can install giphypop:
$ pip install requests giphypop
Alternatively:
$ pip install requests
$ pip install -e git+https://github.com/shaunduncan/giphypop.git#egg=giphypop
Then you should be off and running. giphypop has been tested against python versions 2.6, 2.7, 3.2 and 3.3.
Getting Started
Using giphypop is straightforward and aims provide interaction with the api without any regard to large bits of JSON. To get started, you can test out various features using the include api key. You should be warned, however, that while Giphy has been so kind as have a public “testing” key, it may be turned off in the future. See the api docs for more information.
The entry point for interacting with Giphy api is the giphypop.Giphy class. This class optionally accepts two arguments: api_key and strict. The api_key agument, when not preset, will default to the public key (see above). The strict argument controls how you expect the api to react when no results are returned. If enabled, an exception is raised, otherwise, None is returned.
>>> import giphypop
>>> g = giphypop.Giphy()
Now you’re ready to get started. There are a few key methods of the giphypop.Giphy object that you’ll want to know about
search
Search for gifs with a given word or phrase. Punctuation is ignored. By default, this will perform a term search. If you want to search by phrase, use the phrase keyword argument. What’s the difference between term and phrase searches? Simple: a term search will return results matching any words given, whereas a phrase search will match all words.
Note that this method is a giphypop.GiphyImage generator that automatically handles api paging. Optionally accepts a limit that will terminate the generation after a specified number of results have been yielded. This defaults to 25 results; a None implies no limit
term: Search term or terms, string
phrase: Search phrase, string
limit: Maximum number of results to yield, integer
search_list
Suppose you expect the search method to just give you a list rather than a generator. This method will have that effect. Equivalent to:
>>> g = giphypop.Giphy()
>>> results = [x for x in g.search('foo')]
translate
Retrieve a single image that represents a transalation of a term or phrase into an animated gif. Punctuation is ignored. By default, this will perform a term translation. If you want to translate by phrase, use the phrase keyword argument.
term: Search term or terms, string
phrase: Search phrase, string
strict: Whether an exception should be raised when no results, boolean
gif
Retrieves a specifc gif from giphy based on unique id
gif_id: Unique giphy gif ID, string
strict: Whether an exception should be raised when no results, boolean
screensaver
Returns a random giphy image, optionally based on a search of a given tag. Note that this method will both query for a screensaver image and fetch the full details of that image (2 request calls)
tag: Limit random gifs returned by a tag, string
strict: Whether an exception should be raised when no results, boolean
random_gif
An alias of giphypop.Giphy.screensaver
upload
Uploads a video or gif to giphy. Once the upload has completed, requests the full gif details and returns a GiphyImage (2 request calls).
tags: A list of tags to use on the uploaded gif, list
file_path: The path to the file to upload, string
username: The username of the account to upload to when using your own API key, string
Handling Results
All results that represent a single image are wrapped in a giphypop.GiphyImage object. This object acts like a dictionary, but also exposes keys as attributes. Note, that these are not a direct mirror of api response objects; their goal is to be simpler. Structure follows this layout:
<Result Object> - id - type: image type (i.e. gif) - url: URL to giphy page - raw_data: copy of original data response from giphy (JSON) - fullscreen: bit.ly link to giphy fullscreen gif - tiled: bit.ly link to giphy tiled gif - bitly: bit.ly version of `url` - media_url: URL directly to image (original size) - frames: number of frames - height: image height (original image) - width: image width (original image) - size: filesize (in bytes, original image) - fixed_height: (variable width @ 200px height) - url: URL directly to image - width: image width - height: image height - downsampled: - url: URL directly to image - width: image width - height: image height - still: (a still image of gif) - url: URL directly to image - width: image width - height: image height - fixed_width: (variable height @ 200px width) - url: URL directly to image - width: image width - height: image height - downsampled: - url: URL directly to image - width: image width - height: image height - still: (a still image of gif) - url: URL directly to image - width: image width - height: image height
For example:
>>> from giphypop import translate
>>> img = translate('foo')
>>> img.url
'http://giphy.com/foo/bar/baz'
>>> img.width
200
>>> img.fixed_height.downsampled.url
'http://giphy.com/foo/bar/downsampled'
Uploading
The Giphy API will accept uploads of gifs or videos. You are able to upload using the public API key, but you won’t be able to assign them to your username or delete them. In order to upload to your account, set the username when you and the API key when you upload.
For example:
>>> from giphypop import upload
>>> gif = upload(["foo", "bar"], "mycat.gif")
>>> gif
GiphyImage<26BRvG76mOYcvRxss> at http://giphy.com/gifs/bar-foo-26BRvG76mOYcvRxss
Or using your own API key to upload to your own account:
>>> from giphypop import upload
>>> gif = upload(["foo", "bar"], "mycat.gif", username="gifsarefun", api_key="abcdef12345678")
>>> gif
GiphyImage<26BRvG76mOYcvRxss> at http://giphy.com/gifs/bar-foo-26BRvG76mOYcvRxss
Changelog
0.1
Initial Version
Contribution and License
Developed by Shaun Duncan and is licensed under the terms of a MIT license. Contributions are welcomed and appreciated!
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