incognia-python 1.6.0

Python lightweight client library for Incognia APIs

Incognia API Python Client 🐍

Installation

You can install the IncogniaAPI using the following command:

pip install incognia-python

Usage

Configuration

Before calling the API methods, you need to create an instance of the IncogniaAPI class.

from incognia.api import IncogniaAPI

api = IncogniaAPI('client-id', 'client-secret')

Incognia API

The implementation is based on the Incognia API Reference.

Authentication

Authentication is done transparently, so you don't need to worry about it.

Registering New Signup

This method registers a new signup for the given installation and a structured address, an address line or coordinates, returning a dict, containing the risk assessment and supporting evidence:

from incognia.api import IncogniaAPI
from incognia.models import StructuredAddress, Coordinates

api = IncogniaAPI('client-id', 'client-secret')

# with structured address, a dict:
structured_address: StructuredAddress = {
    'locale': 'en-US',
    'country_name': 'United States of America',
    'country_code': 'US',
    'state': 'NY',
    'city': 'New York City',
    'borough': 'Manhattan',
    'neighborhood': 'Midtown',
    'street': 'W 34th St.',
    'number': '20',
    'complements': 'Floor 2',
    'postal_code': '10001'
}
assessment: dict = api.register_new_signup('installation-id', structured_address=structured_address)

# with address line:
address_line: str = '350 Fifth Avenue, Manhattan, New York 10118'
assessment: dict = api.register_new_signup('installation-id', address_line=address_line)

# with coordinates, a dict:
coordinates: Coordinates = {
    'lat': 40.74836007062138,
    'lng': -73.98509720487937
}
assessment: dict = api.register_new_signup('installation-id', address_coordinates=coordinates)

# with external_id:
external_id: str = 'external-id'
assessment: dict = api.register_new_signup('installation-id', external_id=external_id)

# with policy_id:
policy_id: str = 'policy-id'
assessment: dict = api.register_new_signup('installation-id', policy_id=policy_id)

# with account_id:
account_id: str = 'account-id'
assessment: dict = api.register_new_signup('installation-id', account_id=account_id)

Getting a Signup

This method allows you to query the latest assessment for a given signup event, returning a dict, containing the risk assessment and supporting evidence:

from incognia.api import IncogniaAPI

api = IncogniaAPI('client-id', 'client-secret')

assessment: dict = api.get_signup_assessment('signup-id')

Registering Feedback

This method registers a feedback event for the given identifiers (optional arguments) related to a signup, login or payment.

import datetime as dt
from incognia.api import IncogniaAPI
from incognia.feedback_events import FeedbackEvents  # feedbacks are strings.

api = IncogniaAPI('client-id', 'client-secret')

api.register_feedback(FeedbackEvents.SIGNUP_ACCEPTED, dt.datetime.now(),
                      installation_id='installation-id',
                      account_id='account-id',
                      signup_id='signup-id')

Registering Payment

This method registers a new payment for the given installation and account, returning a dict, containing the risk assessment and supporting evidence.

from typing import List
from incognia.api import IncogniaAPI
from incognia.models import TransactionAddress, PaymentValue, PaymentMethod

api = IncogniaAPI('client-id', 'client-secret')

addresses: List[TransactionAddress] = [
    {
        'type': 'shipping',
        'structured_address': {
            'locale': 'pt-BR',
            'country_name': 'Brasil',
            'country_code': 'BR',
            'state': 'SP',
            'city': 'São Paulo',
            'borough': '',
            'neighborhood': 'Bela Vista',
            'street': 'Av. Paulista',
            'number': '1578',
            'complements': 'Andar 2',
            'postal_code': '01310-200'
        },
        'address_coordinates': {
            'lat': -23.561414,
            'lng': -46.6558819
        }
    }
]

payment_value: PaymentValue = {
    'amount': 5.0,
    'currency': 'BRL'
}

payment_methods: List[PaymentMethod] = [
    {
        'type': 'credit_card',
        'credit_card_info': {
            'bin': '123456',
            'last_four_digits': '1234',
            'expiry_year': '2027',
            'expiry_month': '10'
        }
    },
    {
        'type': 'debit_card',
        'debit_card_info': {
            'bin': '123456',
            'last_four_digits': '1234',
            'expiry_year': '2027',
            'expiry_month': '10'
        }
    }
]

policy_id: str = 'policy-id'

assessment: dict = api.register_payment('installation-id',
                                        'account-id',
                                        'external-id',
                                        addresses=addresses,
                                        payment_value=payment_value,
                                        payment_methods=payment_methods,
                                        policy_id=policy_id)

Registering Login

This method registers a new login for the given installation and account, returning a dict, containing the risk assessment and supporting evidence.

from incognia.api import IncogniaAPI

api = IncogniaAPI('client-id', 'client-secret')

policy_id: str = 'policy-id'

assessment: dict = api.register_login('installation-id', 
                                      'account-id', 
                                      'external-id', 
                                      policy_id='policy_id')

Evidences

Every assessment response includes supporting evidence in a dict. You can find all available evidences here.

Error Handling

Every method call can throw IncogniaHTTPError and IncogniaError.

IncogniaHTTPError is thrown when the API returned an unexpected http status code.

IncogniaError represents unknown errors, like required parameters none or empty.

How to Contribute

Your contributions are highly appreciated. If you have found a bug or if you have a feature request, please report them at this repository issues section.

Development

Versioning

This project uses Semantic Versioning, where version follows v{MAJOR}.{MINOR}.{PATCH} format. In summary:

• Major version update - Major functionality changes. Might not have direct backward compatibility. For example, multiple public API parameter changes.
• Minor version update - Additional features. Major bug fixes. Might have some minor backward compatibility issues. For example, an extra parameter on a callback function.
• Patch version update - Minor features. Bug fixes. Full backward compatibility. For example, extra fields added to the public structures with version bump.

Release

On GitHub, you should merge your changes to the main branch, create the git versioning tag and finally push those changes:

$ git checkout main
$ git pull
$ git merge <your_branch>
$ git tag -a v<version> -m "<description>"
$ git push origin HEAD --tags

• example:

$ git checkout main
$ git pull
$ git merge feat/some-feature
$ git tag -a v2.1.0 -m "This release adds some feature..."
$ git push origin HEAD --tags

Our CI will build images with the tagged version and publish them to our PyPI repository.

What is Incognia?

Incognia is a location identity platform for mobile apps that enables:

• Real-time address verification for onboarding
• Frictionless authentication
• Real-time transaction verification

Create a Free Incognia Account

1. Go to Incognia and click on "Sign Up For Free"
2. Create an Account
3. You're ready to integrate Incognia SDK and use Incognia APIs

License