refactor: use reusable-dispatch with pre-computed matrix - #5
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Update the Jira poll workflow to use reusable-dispatch.yml with the new matrix input (PR fullsend-ai/fullsend#6455) instead of the extracted reusable-harness-run.yml workflow. This approach: - Maintains ADR 62's inlining decision (no version skew) - Provides a single entry point for both standard and custom polling flows - Simplifies the workflow by removing unnecessary input parameters Changes: - Rename harness-run job to harness for clarity - Update to use reusable-dispatch.yml@reusable-dispatch-precomputed-matrix - Remove install_mode, fullsend_version, and runner_image inputs (use defaults) - Update plan document to describe the new approach Assisted-by: Claude Sonnet 4.5 <noreply@anthropic.com> Signed-off-by: Ralph Bean <rbean@redhat.com>
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Summary
Updates the Jira poll workflow to use
reusable-dispatch.ymlwith the newmatrixinput (fullsend-ai/fullsend#6455) instead of the extractedreusable-harness-run.ymlworkflow.Why This Change?
The original approach (PR fullsend-ai/fullsend#6356) extracted
harness-runinto a separate workflow, which conflicted with ADR 62's decision to inline stage workflows to avoid version skew.The new approach (PR fullsend-ai/fullsend#6455):
Changes
Workflow:
harness-runjob toharnessfor clarityreusable-harness-run.yml@extract-harness-runtoreusable-dispatch.yml@reusable-dispatch-precomputed-matrixinstall_mode,fullsend_version,runner_image) - using defaultsPlan document:
reusable-dispatch.ymlapproachTest Plan
reusable-dispatch.ymlRelated
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