TensorRail Payments SDK for Python — typed server-side client for payments, refunds, customers, and webhook signature verification.
Project description
tensorrail
TensorRail Payments SDK for Python (3.9+). A typed, server-side client for the TensorRail API.
- Base URL:
https://api.tensorrail.com - Auth: the
api-keyrequest header (your merchant API key) - Amounts are in minor units (the lowest denomination of the currency),
e.g.
6540for $65.40 USD. - Built-in idempotency keys, retries with backoff, and typed errors.
Installation
pip install tensorrail
Quick Start
from tensorrail import TensorRail
client = TensorRail("your-api-key") # base_url defaults to https://api.tensorrail.com
# Create a payment — amount is in MINOR units (cents): 4999 = $49.99
payment = client.payments.create(
amount=4999,
currency="USD",
payment_method="card",
payment_method_data={
"card_number": "4242424242424242",
"exp_month": 12,
"exp_year": 2027,
"cvc": "123",
},
idempotency_key="order-abc-123",
)
print(payment.payment_id, payment.status)
# Retrieve a payment
fetched = client.payments.retrieve(payment.payment_id)
# Confirm / capture / cancel
confirmed = client.payments.confirm(payment.payment_id)
captured = client.payments.capture(payment.payment_id, amount_to_capture=4999)
client.payments.cancel(payment.payment_id)
Refunds
# Refund a payment — amount in MINOR units (omit to refund the full amount).
refund = client.refunds.create(
payment.payment_id,
amount=1000, # $10.00
reason="requested_by_customer",
idempotency_key="refund-abc-123",
)
print(refund.refund_id, refund.status)
fetched_refund = client.refunds.retrieve(refund.refund_id)
Customers
customer = client.customers.create(name="Ada Lovelace", email="ada@example.com")
fetched_customer = client.customers.retrieve(customer.customer_id)
Context Manager
with TensorRail("your-api-key") as client:
payment = client.payments.create(amount=999, currency="EUR") # €9.99
Webhook Signature Verification
TensorRail signs webhook deliveries with the TensorRail-Signature header
(HMAC-SHA512). Always verify the signature against the raw request body
before trusting an event — do not re-serialize the parsed JSON first.
from flask import Flask, request, abort
from tensorrail import TensorRail, WebhookVerificationError
client = TensorRail("your-api-key")
app = Flask(__name__)
@app.post("/webhooks/tensorrail")
def handle_webhook():
signature = request.headers.get("TensorRail-Signature", "")
try:
event = client.webhooks.construct_event(
request.get_data(), # raw bytes
signature,
secret="your-webhook-secret",
)
except WebhookVerificationError:
abort(400)
# event is the verified, parsed payload
print("verified event:", event)
return "", 200
Error Handling
from tensorrail import (
TensorRail,
TensorRailError,
AuthenticationError,
ValidationError,
RateLimitError,
)
try:
client.payments.create(amount=-1, currency="USD")
except ValidationError as e:
print(f"Invalid request: {e} (code={e.code})")
except AuthenticationError as e:
print(f"Auth failed: {e} (HTTP {e.status_code})")
except RateLimitError as e:
print(f"Rate limited, retry after {e.retry_after}s")
except TensorRailError as e:
print(f"API error: {e} (HTTP {e.status_code}, request_id={e.request_id})")
License
MIT
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tensorrail-0.1.0.tar.gz.
File metadata
- Download URL: tensorrail-0.1.0.tar.gz
- Upload date:
- Size: 8.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b107633989ab79ba9953ced27f3ad946cf8a0d791417be9cdf6277d783341ee0
|
|
| MD5 |
f864396594d27f6a6558b8f5cb5bd1f1
|
|
| BLAKE2b-256 |
535d16b281f154ba4af63155d6af8d88092adb3b32cf8b63f1e2ae30c7bc5f77
|
File details
Details for the file tensorrail-0.1.0-py3-none-any.whl.
File metadata
- Download URL: tensorrail-0.1.0-py3-none-any.whl
- Upload date:
- Size: 10.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e56511dd615c062f06f63ac3e72cf0606725840d229d90bf890b8fcf8917f06b
|
|
| MD5 |
74ab062fb4b4ae4c85e3e8f2eac538fc
|
|
| BLAKE2b-256 |
2e97913ccd90036d4ef346ecf3f1fc396e5e80a59acc01e24775377cda33cb97
|