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.
See the Python API docs.
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 stripeInstall from source with:
python setup.py install- Python 2.7+ or Python 3.4+ (PyPy supported)
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:
import stripe
stripe.api_key = "sk_test_..."
# list customers
customers = stripe.Customer.list()
# print the first customer's email
print(customers.data[0].email)
# retrieve specific Customer
customer = stripe.Customer.retrieve("cus_123456789")
# print that customer's email
print(customer.email)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.
Configure individual requests with keyword arguments. For example, you can make requests with a specific Stripe Version or as a connected account:
import stripe
# list customers
stripe.Customer.list(
api_key="sk_test_...",
stripe_account="acct_...",
stripe_version="2019-02-19"
)
# retrieve single customer
stripe.Customer.retrieve(
"cus_123456789",
api_key="sk_test_...",
stripe_account="acct_...",
stripe_version="2019-02-19"
)The library can be configured to use urlfetch, requests, pycurl, or
urllib2 with stripe.default_http_client:
client = stripe.http_client.UrlFetchClient()
client = stripe.http_client.RequestsClient()
client = stripe.http_client.PycurlClient()
client = stripe.http_client.Urllib2Client()
stripe.default_http_client = clientWithout 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.
A proxy can be configured with stripe.proxy:
stripe.proxy = "https://user:pass@example.com:1234"You can enable automatic retries on requests that fail due to a transient problem by configuring the maximum number of retries:
stripe.max_network_retries = 2Various 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.
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:
-
Set the environment variable
STRIPE_LOGto the valuedebugorinfo$ export STRIPE_LOG=debug -
Set
stripe.log:import stripe stripe.log = 'debug'
-
Enable it through Python's logging module:
import logging logging.basicConfig() logging.getLogger('stripe').setLevel(logging.DEBUG)
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.
By default, the library sends request latency telemetry to Stripe. These numbers help Stripe improve the overall latency of its API for all users.
You can disable this behavior if you prefer:
stripe.enable_telemetry = FalseThe 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 get -u github.com/stripe/stripe-mock
stripe-mockRun the following command to set up the development virtualenv:
makeRun all tests on all supported Python versions:
make testRun all tests for a specific Python version (modify -e according to your Python target):
TOX_ARGS="-e py37" make testRun all tests in a single file:
TOX_ARGS="-e py37 -- tests/api_resources/abstract/test_updateable_api_resource.py" make testRun a single test suite:
TOX_ARGS="-e py37 -- tests/api_resources/abstract/test_updateable_api_resource.py::TestUpdateableAPIResource" make testRun a single test:
TOX_ARGS="-e py37 -- tests/api_resources/abstract/test_updateable_api_resource.py::TestUpdateableAPIResource::test_save" make testRun the linter with:
make lintThe 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