Initial Version and Lambda Service durable_execution_arn arg added #3
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Initial test framework to run AWS Durable Functions locally in a unit test environment. Includes validation for: - step - wait - run_in_child_context - create_callback - wait_for_callback - wait_for_condition - parallel - map
Renamed the external module references from aws_durable_functions_sdk_python
to aws_durable_execution_sdk_python and updated the testing module name from
aws_durable_functions_sdk_python_testing to aws_durable_execution_sdk_python_testing
throughout the entire codebase.
Also update Lambda Service API to include new durable_execution_arn arg.
1. Updated all import statements across 52 files including:
- All Python source files in src/aws_durable_execution_sdk_python_testing/
- All test files in tests/
- Documentation files (README.md, CONTRIBUTING.md)
2. Fixed API compatibility issues that arose from the module rename:
- Updated InMemoryServiceClient.checkpoint() method to include the new
durable_execution_arn parameter
- Updated InMemoryServiceClient.get_execution_state() method to include
the new durable_execution_arn parameter
- Updated corresponding test cases to use the new method signatures
- Added appropriate # noqa: ARG002 comments for unused parameters in
the in-memory implementation
3. Maintained code quality standards:
- All 406 tests pass ✅
- Type checking passes ✅
- Code formatting passes ✅
- Test coverage remains above 99% (99.15%) ✅
bchampp
approved these changes
Sep 24, 2025
bchampp
reviewed
Sep 24, 2025
| ] | ||
| dependencies = [ | ||
| "boto3>=1.40.30", | ||
| "aws_durable_execution_sdk_python @ git+ssh://git@github.com/aws/aws-durable-execution-sdk-python.git" |
Member
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If we're working on a PR that requires changes across both here and the python SDK -- will we just pin a specific branch here for the installation?
Contributor
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I believe that should work in theory, we should probably leave a comment on the format of how to pin the branch
Member
Author
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The broad idea is: create an optional install in pyproject.toml like so:
[tool.hatch.envs.staging]
dependencies = [
"aws_durable_execution_python_sdk @ git+https://github.com/aws/aws-durable_execution-python-sdk.git@staging",
]
Note it's installing from staging branch, and installs like:
- name: Run prerelease tests
run: hatch run staging:test
Member
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Got it - thanks! Can we please document this in both repos so that the process is clear?
SilanHe
reviewed
Sep 24, 2025
| @@ -1,17 +1,179 @@ | |||
| ## My Project | |||
| # aws-durable-functions-sdk-python | |||
| ] | ||
| dependencies = [ | ||
| "boto3>=1.40.30", | ||
| "aws_durable_execution_sdk_python @ git+ssh://git@github.com/aws/aws-durable-execution-sdk-python.git" |
Contributor
There was a problem hiding this comment.
I believe that should work in theory, we should probably leave a comment on the format of how to pin the branch
| @@ -0,0 +1,6 @@ | |||
| """Tests for DurableExecutionsPythonTestingLibrary module.""" | |||
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Initial Version of Test Framework
Initial test framework to run AWS Durable Functions locally in a unit test environment. Includes validation for:
Repo rename from aws_durable_functions_sdk_python
Renamed the external module references from
aws_durable_functions_sdk_pythonto
aws_durable_execution_sdk_pythonand updated the testing module name fromaws_durable_functions_sdk_python_testingtoaws_durable_execution_sdk_python_testingthroughout the entire codebase.
Lambda Service Update
Update Lambda Service API to include new durable_execution_arn arg.
durable_execution_arn parameter
the new durable_execution_arn parameter
the in-memory implementation
Testing
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