Install simply with pip:
pip install Avalara
OR
$ git clone https://github.com/avadev/AvaTax-REST-V2-Python-SDK.git
AvaTax-REST-V2-Python-SDK
directory.$ cd AvaTax-REST-V2-Python-SDK
AvaTax-REST-V2-Python-SDK $ python3 -m venv ENV
AvaTax-REST-V2-Python-SDK $ source ENV/bin/activate
(ENV) AvaTax-REST-V2-Python-SDK $ pip install -e .
(ENV) AvaTax-REST-V2-Python-SDK $ pip install -e .[testing]
Import the AvataxClient from the avalara module
First thing to do is to import the AvataxClient constructor module to your namespace or your Python script.
from avalara import AvataxClient
Construct a client object
Create a new AvataxClient object:
client = AvataxClient('my test app',
'ver 0.0',
'my test machine',
'sandbox')
The client constructor takes 4 string parameters. In sequence, they are app_name(required)
, app_version(required)
, machine_name(optional)
, and environment(required)
. The app_name
, app_version
, and machine_name
will be used to construct the Client Header associated with each call made by this client. It will be returned in the response object to help you keep track of the API calls.
The environment
variable can be either "sandbox"
or "production"
. They correspond to the two different environments for the AvaTax service.
If you're a regular or free trial customer, please use "production"
. If you don't have an account, you can sign up for a free trail account on our developer site. This will be a Production account as well.
If you wish to obtain a Sandbox account, please contact your account manager.
Ping the service
Now that we have a client object, we can ping the AvaTax REST V2 server to ensure connectivity.
response = client.ping()
# to view response text
print(response.text())
# to view json version of the response
print(response.json())
# to view the status code
print(response.status_code())
# to view the raw response
print(response.raw())
Note that the response from all REST API calls made using this SDK will be a Request object, which contains a status code, response text, raw JSON, and more information on the response.
Add credentials to your client object
Unlike ping
, most methods in our REST V2 API requires you to be authenticated in order to associate information provided by you with your account. To find out if a method requires authentication, visit our API Reference page.
To add credentials on the current client object:
client = client.add_credentials('USERNAME/ACCOUNT_ID', 'PASSWORD/LICENSE_KEY')
The add_credentials
method will hash your username/password, or account_id/license_key pair and attach it to every call made by your client object. This means you only have to add credentials once to each client you prepare to use.
To verify that you have added a valid credential, simply call the ping
method again. You should see "authenticated": true
in the response text.
Create a transaction using your client object
Now that our client object is authenticated, we can call the create_transaction
method which calls the CreateTransaction API.
transaction_response = client.create_transaction(tax_document)
print(transaction_response.text())
tax_document = {
'addresses': {'SingleLocation': {'city': 'Irvine',
'country': 'US',
'line1': '123 Main Street',
'postalCode': '92615',
'region': 'CA'}},
'commit': False,
'companyCode': 'DEFAULT',
'currencyCode': 'USD',
'customerCode': 'ABC',
'date': '2017-04-12',
'description': 'Yarn',
'lines': [{'amount': 100,
'description': 'Yarn',
'itemCode': 'Y0001',
'number': '1',
'quantity': 1,
'taxCode': 'PS081282'}],
'purchaseOrderNo': '2017-04-12-001',
'type': 'SalesInvoice'}
The create_transaction
method takes in a model. In Python, it's a dictionary type object in which you include all of your transaction information. In this case, we are using the TransactionModel. For information on other models use by AvaTax APIs, visit our information page here.
Like our SDKs in other languages, the Python SDK includes all methods offered by the AvaTax REST V2 API. To find a method corresponding to a specific API endpoint, visit this code page.
To learn more about integrating our REST API into your system, go to our developer guide that contains information on using the powerful features offered by our API.
We realize that having to format the TransactionModel can be complicated and time consuming. Therefore, we created a tool called Transaction Builder to help you put together a transaction model and create it!
First, import the TransactionBuilder constructor into your namespace:
from avalara.transaction_builder import TransactionBuilder
Then, create a TransactionBuilder object:
tb = TransactionBuilder(client, "DEFAULT", "SalesInvoice", "ABC")
The builder takes 4 required parameters. In sequence, they are:
The client object
The company name (created through the AvaTax portal or by calling the CreateCompany API)
The type of transaction (view the full list of options)
The customer code (a unique code identifying the customer that requested this transaction)
Now, you can add transaction details to this object by using methods like with_address
, with_line
, and with_parameter
.
For a full list of Transaction Builder methods available and the parameters they take, visit the code page on GitHub.
In the end, you may call the create
method on your builder object, which will call the CreateTransaction API with the transaction model you have built so far and return back the response.
If you wish to run the integration and unit testings, you must store a pair of credentials in the current enviroment.
Add the following to the activate
file in your environment and restart bash OR export
them directly:
export SANDBOX_USERNAME='your_sandbox_username'
export SANDBOX_PASSWORD='your_sandbox_password'
# OR
SANDBOX_ACCOUNTID='your_sandbox_account_id'
SANDBOX_LICENSEKEY='your_sandbox_license_key'
Note: Only Sandbox credentials should be used for testing as the test case will commit, adjust, or void test transactions on the account to verify functionalities.
Logging is implemented using standard Python logging framework.
AvataxClient
class are decorated with the ava_log
decorator. This is achieved using another decorator at class level, decorate_all_methods
.ava_log
decorator collects relevant request data, response data useful for instrumentation, and logs error data in case of exceptions.AvataxClient
constructor is modified with an optional boolean parameter, is_log_req_resp_allowed
(the default value is false
), to control if a log entry should contain request and response objects.AvataxClient
to use an already configured logger instance.