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A Python wrapper for waifu.im API.

Project description

waifuim.py

PyPI - Python Version PyPI License

A Python wrapper for waifu.im API.

Table of Contents

Installation

Python 3.6 or higher is required.

Install from PyPI

$ pip install waifuim.py

Install from source

$ pip install git+https://github.com/Waifu-im/waifuim.py

Usage

For now you can only use WaifuAioClient wich is async. Maybe a sync client will be released in the future.

Examples with WaifuAioClient

import asyncio

from waifuim import WaifuAioClient


async def main():
    async with WaifuAioClient() as wf:

        # Get the json that the api return for the waifu tag
        waifujson= await wf.sfw('waifu',raw = True)

        # Get one random image url for the waifu tag
        waifu_url = await wf.sfw('waifu')

        # Get 30 images url for the waifu tag (12 is the tag id)
        waifulist= await wf.nsfw(12, many = True)

        # Get one ero image excluding some files and the .gif extension
        ero = await wf.nsfw('ero',exclude = ['file1', 'file2.png'], gif = False)

        # Get your gallery (returns a dict)
        gallery=await wf.fav(toggle = ['file20'], insert = ['file1'], token = "A token")

        #get the endpoints
        endpoints=await wf.endpoints(full = True) #it is optional

        # Get some informations about one or multiple images
        info=await wf.info(images = ["file1.png" ,"file2"])

        # Get the 30 most liked waifu images
        top=await wf.sfw("waifu", many = True, top = True)

        # Get completly random images, you can use same kwargs as sfw and nsfw
        random=await wf.random()

asyncio.run(main())
import asyncio

from waifuim import WaifuAioClient


async def main():
    wf=WaifuAioClient()
    # Get the json that the api return for the waifu tag
    waifujson= await wf.sfw('waifu', raw = True)

    # Get one random image url for the waifu tag
    waifu_url = await wf.sfw('waifu')

    # Get 30 images url for the waifu tag (12 is the tag id)
    waifulist= await wf.nsfw('waifu', many = True)

    # Get one ero image excluding some files and the .gif extension
    ero = await wf.nsfw('ero', exclude = ['file1', 'file2.png', 'file3.jpeg'], gif = False)

    # Get your gallery (returns a dict)
    gallery=await wf.fav(toggle = ['file20'], delete = ['file1'])

    # Get the endpoints
    endpoints=await wf.endpoints(full=True) #it is optional

    # Get some informations about one or multiple images
    info=await wf.info(images = ["file1.png", "file2"])

    # Get the 30 most liked waifu images
    top=await wf.sfw("waifu", many = True, top = True)

    # Get completly random images, you can use same kwargs as sfw and nsfw
    random=await wf.random()

    await wf.close()

asyncio.run(main())

Some interesting attributes

You can pass some useful kwargs to the class

from waifuim import WaifuAioClient

wf = WaifuAioClient(session = an_aiohttpClientSession_created_asynchronously,
    appname = "TheNameOfYourApplication",
    token = "The default token to use in routes requiring authentifiction.")

# ...

License

MIT © Buco

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