Skip to main content

Utility code for working with Addepar

Project description

pyaddepar

Action Status

Some utility code for interacting with addepar. For more information on addepar please check out https://addepar.com/.

Installing pyaddepar

Install with pip

pip install pyaddepar

AddeparRequest

AddeparRequest is a class hiding the management of your key(s), the pagination of requests and conversion of your results to standard pandas containers.

import pandas as pd
from pyaddepar.addeparrequest import AddeparRequest

if __name__ == '__main__':
    r = AddeparRequest(key=..., secret=..., id=..., company=...)
    today = pd.Timestamp("today")

    for key, entity in r.options:
        expiry = pd.Timestamp(entity["expiration_date"])
        if expiry >= today:
            print(expiry)
            print(entity)
            print(entity["option_type"])
            print(entity["node_strike_price"])

            print((expiry-today).days/365.0)

Settings.cfg

We recommend to define a configuration file (*.cfg) containing

ADDEPAR = {"key":"A", "secret":"B", "id":"maffay", "company":"maffay" }

Flask-Addepar

A Flask extension that provides integration with Addepar. In particular this flask extension provides management of the your AddeparRequests. You can use configuration files such as settings.cfg to follow standard flask practices. The configuration is easy, just fetch the extension:

from flask import Flask

from pyaddepar.flask_addepar import addepar

if __name__ == '__main__':
    app = Flask(__name__)
    app.config.from_pyfile('config/settings.cfg')
    addepar.init_app(app)

    with app.app_context():
        for key, entity in addepar.request.entities():
            print(key)
            print(entity)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyaddepar-0.6.2.tar.gz (12.1 kB view hashes)

Uploaded source

Built Distribution

pyaddepar-0.6.2-py3-none-any.whl (5.6 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page