/stripe-python

Python library for the Stripe API.

Primary LanguagePythonMIT LicenseMIT

Stripe Python Library

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The Stripe Python library provides convenient access to the Stripe API from applications written in the Python language. It includes a pre-defined set of classes for API resources that initialize themselves dynamically from API responses which makes it compatible with a wide range of versions of the Stripe API.

Documentation

See the Python API docs.

See video demonstrations covering how to use the library.

Installation

You don't need this source code unless you want to modify the package. If you just want to use the package, just run:

pip install --upgrade stripe

Install from source with:

python setup.py install

Requirements

  • Python 3.6+ (PyPy supported)

Python 2.7 deprecation

The Python Software Foundation (PSF) community announced the end of support of Python 2 on 01 January 2020. Starting with version 6.0.0 Stripe SDK Python packages will no longer support Python 2.7. To continue to get new features and security updates, please make sure to update your Python runtime to Python 3.6+.

The last version of the Stripe SDK that supports Python 2.7 is 5.5.0.

Usage

The library needs to be configured with your account's secret key which is available in your Stripe Dashboard. Set stripe.api_key to its value:

from stripe import StripeClient

client = StripeClient("sk_test_...")

# list customers
customers = client.customers.list()

# print the first customer's email
print(customers.data[0].email)

# retrieve specific Customer
customer = client.customers.retrieve("cus_123456789")

# print that customer's email
print(customer.email)

Handling exceptions

Unsuccessful requests raise exceptions. The class of the exception will reflect the sort of error that occurred. Please see the Api Reference for a description of the error classes you should handle, and for information on how to inspect these errors.

Per-request Configuration

Configure individual requests with the options argument. For example, you can make requests with a specific Stripe Version or as a connected account:

from stripe import StripeClient

client = StripeClient("sk_test_...")

# list customers
client.customers.list(
    options={
        "api_key": "sk_test_...",
        "stripe_account": "acct_...",
        "stripe_version": "2019-02-19",
    }
)

# retrieve single customer
client.customers.retrieve(
    "cus_123456789",
    options={
        "api_key": "sk_test_...",
        "stripe_account": "acct_...",
        "stripe_version": "2019-02-19",
    }
)

Configuring an HTTP Client

You can configure your StripeClient to use urlfetch, requests, pycurl, or urllib2 with the http_client option:

client = StripeClient("sk_test_...", http_client=stripe.UrlFetchClient())
client = StripeClient("sk_test_...", http_client=stripe.RequestsClient())
client = StripeClient("sk_test_...", http_client=stripe.PycurlClient())
client = StripeClient("sk_test_...", http_client=stripe.Urllib2Client())

Without a configured client, by default the library will attempt to load libraries in the order above (i.e. urlfetch is preferred with urllib2 used as a last resort). We usually recommend that people use requests.

Configuring a Proxy

A proxy can be configured with the proxy client option:

client = StripeClient("sk_test_...", proxy="https://user:pass@example.com:1234")

Configuring Automatic Retries

You can enable automatic retries on requests that fail due to a transient problem by configuring the maximum number of retries:

client = StripeClient("sk_test_...", max_network_retries=2)

Various errors can trigger a retry, like a connection error or a timeout, and also certain API responses like HTTP status 409 Conflict.

Idempotency keys are automatically generated and added to requests, when not given, to guarantee that retries are safe.

Logging

The library can be configured to emit logging that will give you better insight into what it's doing. The info logging level is usually most appropriate for production use, but debug is also available for more verbosity.

There are a few options for enabling it:

  1. Set the environment variable STRIPE_LOG to the value debug or info

    $ export STRIPE_LOG=debug
  2. Set stripe.log:

    import stripe
    stripe.log = 'debug'
  3. Enable it through Python's logging module:

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

Accessing response code and headers

You can access the HTTP response code and headers using the last_response property of the returned resource.

customer = client.customers.retrieve(
    "cus_123456789"
)

print(customer.last_response.code)
print(customer.last_response.headers)

Writing a Plugin

If you're writing a plugin that uses the library, we'd appreciate it if you identified using stripe.set_app_info():

stripe.set_app_info("MyAwesomePlugin", version="1.2.34", url="https://myawesomeplugin.info")

This information is passed along when the library makes calls to the Stripe API.

Telemetry

By default, the library sends telemetry to Stripe regarding request latency and feature usage. These numbers help Stripe improve the overall latency of its API for all users, and improve popular features.

You can disable this behavior if you prefer:

stripe.enable_telemetry = False

Types

In v7.1.0 and newer, the library includes type annotations. See the wiki for a detailed guide.

Please note that some annotations use features that were only fairly recently accepted, such as Unpack[TypedDict] that was accepted in January 2023. We have tested that these types are recognized properly by Pyright. Support for Unpack in MyPy is still experimental, but appears to degrade gracefully. Please report an issue if there is anything we can do to improve the types for your type checker of choice.

Types and the Versioning Policy

We release type changes in minor releases. While stripe-python follows semantic versioning, our semantic versions describe the runtime behavior of the library alone. Our type annotations are not reflected in the semantic version. That is, upgrading to a new minor version of stripe-python might result in your type checker producing a type error that it didn't before. You can use a ~=x.x or x.x.* version specifier in your requirements.txt to constrain pip to a certain minor range of stripe-python.

Types and API Versions

The types describe the Stripe API version that was the latest at the time of release. This is the version that your library sends by default. If you are overriding stripe.api_version / stripe_version on the StripeClient, or using a webhook endpoint tied to an older version, be aware that the data you see at runtime may not match the types.

Beta SDKs

Stripe has features in the beta phase that can be accessed via the beta version of this package. We would love for you to try these and share feedback with us before these features reach the stable phase. To install a beta version use pip install with the exact version you'd like to use:

pip install --pre stripe

Note There can be breaking changes between beta versions. Therefore we recommend pinning the package version to a specific beta version in your requirements file or setup.py. This way you can install the same version each time without breaking changes unless you are intentionally looking for the latest beta version.

We highly recommend keeping an eye on when the beta feature you are interested in goes from beta to stable so that you can move from using a beta version of the SDK to the stable version.

If your beta feature requires a Stripe-Version header to be sent, set the stripe.api_version field using the stripe.add_beta_version function:

stripe.add_beta_version("feature_beta", "v3")

Async

Asynchronous versions of request-making methods are available by suffixing the method name with _async.

# With StripeClient
client = StripeClient("sk_test_...")
customer = await client.customers.retrieve_async("cus_xyz")

# With global client
stripe.api_key = "sk_test_..."
customer = await stripe.Customer.retrieve_async("cus_xyz")

# .auto_paging_iter() implements both AsyncIterable and Iterable
async for c in await stripe.Customer.list_async().auto_paging_iter():
  ...

There is no .save_async as .save is deprecated since stripe-python v5. Please migrate to .modify_async.

The default HTTP client uses requests for making synchronous requests but httpx for making async requests. If you're migrating to async, we recommend you to explicitly initialize your own http client and pass it to StripeClient or set it as the global default.

# By default, an explicitly initialized HTTPXClient will raise an exception if you
# attempt to call a sync method. If you intend to only use async, this is useful to
# make sure you don't unintentionally make a synchronous request.
my_http_client = stripe.HTTPXClient()

# If you want to use httpx to make sync requests, you can disable this
# behavior.
my_http_client = stripe.HTTPXClient(allow_sync_methods=True)

# aiohttp is also available (does not support sync requests)
my_http_client = stripe.AIOHTTPClient()

# With StripeClient
client = StripeClient("sk_test_...", http_client=my_http_client)

# With the global client
stripe.default_http_client = my_http_client

You can also subclass stripe.HTTPClient and provide your own instance.

Support

New features and bug fixes are released on the latest major version of the Stripe Python library. If you are on an older major version, we recommend that you upgrade to the latest in order to use the new features and bug fixes including those for security vulnerabilities. Older major versions of the package will continue to be available for use, but will not be receiving any updates.

Development

The test suite depends on stripe-mock, so make sure to fetch and run it from a background terminal (stripe-mock's README also contains instructions for installing via Homebrew and other methods):

go install github.com/stripe/stripe-mock@latest
stripe-mock

Run the following command to set up the development virtualenv:

make

Run all tests on all supported Python versions:

make test

Run all tests for a specific Python version (modify -e according to your Python target):

TOX_ARGS="-e py37" make test

Run all tests in a single file:

TOX_ARGS="-e py37 -- tests/api_resources/abstract/test_updateable_api_resource.py" make test

Run a single test suite:

TOX_ARGS="-e py37 -- tests/api_resources/abstract/test_updateable_api_resource.py::TestUpdateableAPIResource" make test

Run a single test:

TOX_ARGS="-e py37 -- tests/api_resources/abstract/test_updateable_api_resource.py::TestUpdateableAPIResource::test_save" make test

Run the linter with:

make lint

The library uses Black for code formatting. Code must be formatted with Black before PRs are submitted, otherwise CI will fail. Run the formatter with:

make fmt