The HUD.ai Python Client provides an easy to use wrapper to interact with the HUD.ai API in python applications.

You must first acquire a HUD.ai secret key before you can use this module.

pip install hudai

from hudai import Client as HudAiClient

hud_ai = HudAiClient(
    client_id='xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',
    client_secret='xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx'
)

hud_ai.companies.list()

hud_ai.articles.fetch('17787d76-4198-4775-a49a-b3581c37a482')

In order to access HUD.ai data on a user's behalf, they must authorize you to do so. This requires 3 steps.

First, send them to the authorization URL

from flask import Flask, redirect, url_for
from hudai import Client as HudAiClient

app = Flask(__name__)

hud_ai = HudAiClient(
    client_id='xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',
    client_secret='xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',
    redirect_uri='https://app.example.com/oauth/callbacks/hud-ai'
)

@app.route('/oauth/authorize/hud-ai')
def hud_ai_authorization():
    return redirect(hud_ai.get_authorize_uri(), code=302)

Now the user will be presented with a dialog screen where they can accept or deny your request. The auth server will redirect back to your app in either case.

Finally, parse the response and get the code and attach it to the client. The code will be exchanged before the next request is made.

@app.route('/oauth/callbacks/hud-ai')
def hud_ai_callback():
    code = request.args.get('code')
    hud_ai.set_auth_code(code)

NOTE: This method requires redirect_uri

Returns a URL to direct users to to authorize your application to act on their behalf. You will need to handle the redirect that includes the code

Store the code for future exchange for an auth token

Attempts to ensure that the client has valid auth tokens.

• Refreshes known expired tokens
• Exchanges auth codes for access tokens
• Exchanges client ID/secret for app access tokens

• * and bolded Type indicates required param
• Params indicated with ? are optional keyword params
• Date types are automatically converted to/from standard DateTime objects
• All list resources are paginated to 50/request, with page being 0-indexed (e.g. page=3 will get you the fourth page)

Deploys occur automatically via Travis-CI on tagged commits that build successfully. Should you need to manually build the project, follow these steps:

# Install twine to prevent your password from being set in plaintext
pip install twine
# Build the package
python setup.py sdist
# Upload via twine
twine upload dist/hudai-NEW_VERSION_HERE.tar.gz