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Home/ Questions/Q 8323821
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Editorial Team
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Editorial Team
Asked: June 8, 20262026-06-08T23:50:27+00:00 2026-06-08T23:50:27+00:00

I’m writing a very small Python ORM around boto.dynamodb.layer2 . I would like to

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I’m writing a very small Python ORM around boto.dynamodb.layer2. I would like to write tests for it, but I don’t want the tests to actually communicate with AWS, as this would require complicated setup, credentials, network access, etc.

Since I plan to open source the module, including credentials in the source seems like a bad idea since I will get charged for usage, and including credentials in the environment is a pain.

Coupling my tests to the network seems like a bad idea, as it makes the tests run slower, or may cause tests to fail due to network errors or throttling. My goal is not to test boto’s DynamoDB interface, or AWS. I just want to test my own code.

I plan to use unittest2 to write the tests and mock to mock out the parts of boto that hit the network, but I’ve never done this before, so my question boils down to these:

  1. Am I going about this the right way?
  2. Has anyone else done this?
  3. Are there any particular points in the boto.dynamodb interface that would be best to mock out?
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  1. Editorial Team
    Editorial Team
    2026-06-08T23:50:29+00:00Added an answer on June 8, 2026 at 11:50 pm

    To answer my questions fully:

    1. As with @pcalcao’s answer, mocking out the service was the right thing to do. It wasn’t even as hard as I thought it would be–the test code is only marginally longer than the code under test, and most of it is tests, not plumbing.

    2. Thanks to @gamaat for getting me to take a second look, boto does do this in its own tests, mocking at the actual transport interface level, in httplib.

    3. Mocking the boto.dynamodb.layer1 interface (along with boto.connect_dynamodb) turned out to be the right thing to do. Setting spies on boto.dynamodb.layer2 and boto.dynamodb.table also helped. Once I began to understand it, I found that mock is a joy to work with.

    Here’s my solution, BSD licensed. I’ll be posting the entire library to PyPI once I’ve dog-fooded it a bit longer and put together some proper documentation. I’ve posted it to PyPI.

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