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Create ZWE message analysis workflow #4174
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Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
Martin-Zeithaml
approved these changes
Feb 5, 2025
…detected Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
…sage-automation' into user/markackert/message-automation Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
Signed-off-by: MarkAckert <[email protected]>
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This PR introduces an automated workflow designed to help us detect discrepancies in ZWE end-user messages through simple analysis of zwe sources and
.errors
files present in the zwe command subdirectories. If we want to further improve message consistency from this point, rather than making the automation more sophisticated we should probably discuss refactoring how messages are defined and accessed from ZWE itself.The automation will identify the following issues with high confidence, causing the workflow to fail:
The automation will identify with lower confidence:
All the issues are output in the workflow's log.