identixone 0.1.6.3

Installation

Install from PyPi using pip, a package manager for Python.

pip install identixone

Don’t have pip installed? Try installing it, by running this from the command line:

$ curl https://raw.github.com/pypa/pip/master/contrib/get-pip.py | python

Or, you can download the source code (ZIP) for identixone-python, and then run:

python setup.py install

You may need to run the above commands with sudo.

Getting Started

First of all, specify your API token and API version in Client:

from identixone.api import Client

version = 1
token = 'XXX'
client = Client(token, version)

You can also configure Client using environment variables with prefix IDENTIXONE_ and uppercase key (e.g. TOKEN, VERSION):

from identixone.api import Client

os.environ['IDENTIXONE_TOKEN'] = 'XXX'
os.environ['IDENTIXONE_VERSION'] = '1'
client = Client()

Now just make calls using client instance as if you were interacting with HTTP API.

For example, create source:

response = client.sources.create(name='source_name')
response.json()
# {"id": 1, "name": "source_name", "pps_timestamp": False, ... }

Or list some entries with filters:

import datetime

date_from = datetime.datetime(year=2019, month=1, day=13, hour=19,
                                 minute=20, second=1)
date_to = datetime.datetime(year=2019, month=1, day=22, hour=19,
                               minute=20, second=1)
r = client.entries.list(date_from=date_from, date_to=date_to)
print(r.json())
# {"count": 1, "next": "url", "previous": "url", "results": [{ ... }]}

Or even compare two faces how similar they are:

from identixone.base.choices import Conf

response = client.utility.compare(
    photo1, photo2,
    liveness_photo1=False, liveness_photo2=False,
    conf=Conf.JUNK)
response.json()
# {"similar": True, "conf": "ha", "liveness_photo1": False, "liveness_photo2": True}

Full examples are inside examples.py file in the root of this repo.

To explore all of the API endpoints visit https://kb.identix.one/

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

0.1.6.3 (2019-09-10)

• Added persons lists module

0.1.5 (2019-07-01)

• Returned entries module

• Removed records module

0.1.4 (2019-06-20)

• Removed Python 3.4 support

• Library updated to the new (1.12) API version

• Removed entries module

• Fixed places where default values were different than default API values.

• Fixed several API calls where default values should not be provided.

0.1.3 (2019-04-05)

• Fixed several API calls where default values should not be provided.

• Fixed places where default values were different than default API values.

0.1.2 (2019-04-01)

• API Changelog is now constantly updated here: https://kb.identix.one/#/apichangelog

• Updated documentation to show how to configure client with env variables

• Records endpoints are now deprecated

• Added new Entries and Entries Stats endpoints for RESTful manipulation with data (meant to replace and enhance records functionality)

• Added new Person Entries endpoint: create new person by providing id of NM entry

• Added examples of newly added endpoints

0.1.1 (2019-03-16)

• Updated docstrings for main functions

• New type of exception ImproperlyConfigured that replaces more general error in several places

• Added conf choices where applicable

• Added missing methods to bulk delete tokens with filtration (permanent/temporary/both)

• Added new source option store_images_for_confs, introduced in 1.9.0 API

• Added choices NotificationHTTPMethod of notifications http_method parameter for convenience

• Utility compare function now has default conf which equals HA. It reflects now default API behaviour

• Removed CHANGES.md because it is redundant. All changes are going to be reflected here, there’s no need to duplicate info.

• Fixed a bug with env variables (fixed one typo & inability to override vars by setting env variables instead of providing them as parameters to init of Client)

• Fixed: previously you could provide your own http_client to the Client instance, but it required instance with already supplied token (so you basically needed to provide token in two places). Now you provide only class in http_client and initialization in Client will create instance with provided token for you.

0.1.0 (2019-02-18)

• First release on PyPI.