Spackle Python Library

The Spackle Python library provides optimized access to billing aware flags created on the Spackle platform.

Documentation

See the Python API docs.

Setup

Install the Spackle library

pip install -U spackle-python

Configure your environment

In order to use Spackle, you need to configure your secret key on the spackle module. You can find your secret key in Spackle app settings page.

import spackle
spackle.api_key = "<api key>"

Usage

Pricing tables

Fetch a pricing table

pricing_table = spackle.PricingTable.retrieve("abcde123")

Pricing table object

{
  id: string
  name: string
  intervals: string[]
  products: {
    id: string
    description: string
    name: string
    features: {
      id: string
      name: string
      key: string
      type: number
      value_flag: boolean
      value_limit: number | null
    }[]
    prices: {
      month?: {
        id: string
        unit_amount: number
        currency: string
      }
      year?: {
        id: string
        unit_amount: number
        currency: string
      }
    }
  }[]
}

Entitlements

Fetch a customer

Spackle uses stripe ids as references to customer features.

customer = spackle.Customer.retrieve("cus_00000000")

Verify feature access

customer.enabled("feature_key")

Fetch a feature limit

customer.limit("feature_key")

Examine a customer's subscriptions

A customer's current subscriptions are available on the subscriptions property. These are valid stripe.Subscription objects as defined in the Stripe Python library.

customer.subscriptions

Waiters

There is a brief delay between when an action takes place in Stripe and when it is reflected in Spackle. To account for this, Spackle provides a waiters module that can be used to wait for a Stripe object to be updated and replicated.

1. Wait for a customer to be created

   spackle.wait_for_customer("cus_00000000")

2. Wait for a subscription to be created

   spackle.wait_for_subscription("cus_000000000", "sub_00000000")

3. Wait for a subscription to be updated

   spackle.wait_for_subscription("cus_000000000", "sub_00000000", status="active")

These will block until Spackle is updated with the latest information from Stripe or until a timeout occurs.

Usage in development environments

In production, Spackle requires a valid Stripe customer. However, that is not development environments where state needs to be controlled. As an alternative, you can use a file store to test your application with seed data.

/app/spackle.json

{
  "cus_000000000": {
    "features": [
      {
        "type": 0,
        "key": "flag_feature",
        "value_flag": true
      },
      {
        "type": 1,
        "key": "limit_feature",
        "value_limit": 100
      }
    ],
    "subscriptions": [
      {
        "id": "sub_000000000",
        "status": "trialing",
        "quantity": 1
      }
    ]
  }
}

Then configure the file store in your application:

spackle.set_store(spackle.FileStore("/app/spackle.json"))

Usage in testing environments

In production, Spackle requires a valid Stripe customer. However, that is not ideal in testing or some development environments. As an alternative, you can use an in-memory store to test your application with seed data.

spackle.set_store(spackle.MemoryStore())
spackle.get_store().set_customer_data("cus_000000000", {
  "features": [
    {
      "type": 0,
      "key": "flag_feature",
      "value_flag": True,
    },
    {
      "type": 1,
      "key": "limit_feature",
      "value_limit": 100,
    },
  ],
  "subscriptions": [
     {
       "id": "sub_000000000",
       "status": "trialing",
       "quantity": 1,
     }
  ]
})

Note: The in-memory store is not thread-safe and state will reset on each application restart.

Logging

The Spackle Python library emits logs as it performs various internal tasks. You can control the verbosity of Spackle's logging a few different ways:

1. Set the environment variable SPACKLE_LOG to the value debug, info, or warn

   $ export SPACKLE_LOG=debug

2. Set spackle.log:

   import spackle
   spackle.log = 'debug'

3. Enable it through Python's logging module:

   import logging
   logging.basicConfig()
   logging.getLogger('spackle').setLevel(logging.DEBUG)