stripe-python | Python library for the Stripe API | REST library
kandi X-RAY | stripe-python Summary
kandi X-RAY | stripe-python Summary
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.
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Top functions reviewed by kandi - BETA
- Decorator to add nested resource methods .
- Make a HTTP request .
- Decorator for custom method requests .
- Handle request errors .
- Performs a HTTP request with retries .
- Convert a response object to a StripeObject .
- Add parameters .
- Verify that the header is valid .
- Refresh an error object .
- Returns the URL for this card .
stripe-python Key Features
stripe-python Examples and Code Snippets
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from PySide6 import QtCore, QtWidgets, QtGui
class WidgetA(QtWidgets.QWidget):
def __init__(self):
super(WidgetA, self).__init__()
self.wb = WidgetB()
vbox = QtWidgets.QVBoxLayout()
vbox.addStretch(1)
driver.get("https://shinyapps.asee.org/apps/Profiles/")
# Code to select "Degrees Awarded" and other option in the drop down.
table_header = driver.find_elements(By.XPATH,"//table[not(@id)]//th")
header_row = []
for header in table_head
df['Suppliers'] = df['Memo'].str.extract(r'\b([a-zA-Z]{3,})\b')
df['Suppliers'] = df['Memo'].str.extract(r'\b([a-zA-Z]{3,})\b').fillna('na')
count = 5
lineItems = []
for i in range(count):
lineItems.append({...})
checkout_session = stripe.checkout.Session.create(
line_items=**lineItems**,
...
)
async function listPaymentIntents() {
const payments = await stripe.PaymentIntent.list({limit: 10000});
console.log('done!');
}
console.log('calling listPaymentIntents!');
listPaymentIntents();
console.log('called listPaymentIntents!'
import time
import asyncio
import threading
async def myfunction():
await asyncio.sleep(10) # sleep for 10 seconds
payments = stripe.PaymentIntent.list(limit=10000)
server=threading.Thread(target=asyncio.run, args=(my
stripe.checkout.Session.create(
success_url=success_url,
cancel_url=cancel_url,
payment_method_types=["card"],
mode="payment",
metadata={
"foo": "FOO",
},
payment_intent_data={
"metadata": {
"bar": "BAR",
}
...
class Table(tk.Frame):
def __init__(self, parent, controller):
tk.Frame.__init__(self, parent)
self.parent = parent
self.controller = controller # save the reference to the controller in each class
if session['user']
if 'user' in session
Community Discussions
Trending Discussions on stripe-python
QUESTION
I'm having an issue getting the hang of using cli parameters with cloudformation deploy
. I'm trying to pass in the name for the S3 bucket that I want to create, and the cli is complaining when I use --parameters
to do this:
ANSWER
Answered 2020-Oct-10 at 21:40This works for me:
QUESTION
Here's the relevant code. I'm using Django, with stripe-python (2.46.0) along with dj-stripe (2.3.0).
...ANSWER
Answered 2020-Apr-26 at 06:12The customer
field is supposed to be an ID on an existing customer in Stripe. You're passing in a Customer model instance into that field in your code.
You should probably pass in customer.email
into the customer_email
field as:
QUESTION
I need to integrate Stripe into a Django project and I noticed that there's a stripe-python
package. This runs entirely synchronously though. Is it a bad idea to make these types of call from the main web server? Since it makes external calls, this presumably means the webserver will be blocked while we wait for a response, which seems bad.
So, should I be running this from something like Celery? Or is it fine to run on the main thread? Anyone have experience with this?
...ANSWER
Answered 2020-Mar-16 at 16:53Based on a previous project, I think using it synchronously is much better from a design prospective. WIth most payments, you want to keep the user on the page until the payment goes through so they know for certain that there was no issue with the payment and you can handle any issues with the payment right there rather than taking the task from the queue and handling it. If you think about most payments you have done online, these all are happening in the main thread for this reason
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