![]() Scenario two and three tested our implementation for handling Amazon’s paging mechanism. Pennsylvania)Īddress line 2 populated instead of Address line 1 The following is a list of scenarios that were relevant for our integration: The test harness is able to place mock orders through our system, which enabled us to create repeatable test scenarios. The module contained endpoints that mimic Amazon’s Order and Feed API. ![]() We decided to embed a module into an existing application. There are plenty of ways to implement a test harness. Ultimately, we recommended setting up a test harness because it enabled our testing environments to be isolated and mitigated the issues listed above. None of these options are optimal for various reasons. Option 3: Create a test harness that mimics Amazon’s functionality. We do not suggest going this route because Amazon’s terms of service do not allow a user to have multiple accounts. Option 2: Create a separate account just for testing. This would require differentiating test orders from production orders in some arbitrary way, and it doesn’t solve any of the listed issues. Option 1: Leave our development and production environments connected to the same Amazon account. There are several ways to proceed at this point: This minimizes our complaint with the first issue, but if your application doesn’t report to Amazon that the order was shipped in a timely manner, the order can drastically hurt the account’s rating before a real order has been placed. Test environments need production credentials.Īmazon suggests that the price of the item and shipping charge should be set to $1.00 while placing test orders through their system. Testing future changes requires placing orders through the production account. Orders created for testing exist in the production environment. The lack of a true testing environment is troubling for several reasons: Furthermore, that order will permanently exist in the order history of the account. The credit card submitted with the order will be charged for the full price of the item and shipping costs. However, regardless of the mode of the account, all orders placed through Amazon’s system are considered live orders. Amazon is able to put an account into staging mode, which disables all products from being visible and purchased through While in this mode, products will only be visible through mt., which requires credentials that an Amazon representative can supply. ![]() We should discuss what Amazon does have to clarify what we mean. We quickly realized that Amazon does not have a testing environment. Once we had an integration set up with the various Amazon APIs, we needed to test our implementation. Although this approach did require extra work, this allowed our system to both process orders in real-time while avoiding the tax breakdown limitation of the Order API. Hopefully Amazon will resolve this issue in the future by including this breakdown in the Order’s API.įor now, we implemented an integration with both methods. In order to obtain the breakdown, we would have to sacrifice real-time processing. However, as the documentation points out, the Feed API is more appropriate for bulk order processing, while the Order API is adept at handling orders in real-time. However, Amazon does publish the breakdown in their Order Report, which is another feed that is available through the Feed API. The Amazon Order API only reports an item’s total tax in the ItemTax field of the ListOrderItems endpoint. Our OMS records the city and state taxes separately. This post covers how we dealt with both of these issues and ensured a robust implementation. Let’s finish this blog series by talking about Amazon’s lack of a testing environment and why taxes were a major pain point for our integration. These two blog posts covered the basics for integrating an Order Management System (OMS) with Amazon. In part one and part two of this blog series, we covered order polling, shipping acknowledgement, and returns.
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