fix: regenerate protobuf files in the python#4336
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aglinxinyuan merged 15 commits intomainfrom Apr 2, 2026
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Pull request overview
This PR regenerates the Python betterproto-generated protobuf modules so the Python side matches the current .proto definitions (addressing outdated generated code reported in #4335).
Changes:
- Regenerated Python protobuf modules (import formatting updates in generated
__init__.pyfiles). - Synced RPC protobuf definitions by adding
StatisticsUpdateTargetand the newupdate_targetfield onQueryStatisticsRequest.
Reviewed changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
| amber/src/main/python/proto/org/apache/texera/amber/engine/architecture/worker/init.py | Generated code refresh (typing import formatting). |
| amber/src/main/python/proto/org/apache/texera/amber/engine/architecture/sendsemantics/init.py | Generated code refresh (typing import formatting). |
| amber/src/main/python/proto/org/apache/texera/amber/engine/architecture/rpc/init.py | Updates generated RPC module to include StatisticsUpdateTarget and QueryStatisticsRequest.update_target. |
| amber/src/main/python/proto/org/apache/texera/amber/core/init.py | Generated code refresh (typing import formatting). |
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Contributor
|
@Xiao-zhen-Liu Please review it. |
Signed-off-by: Xinyuan Lin <xinyual3@uci.edu>
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What changes were proposed in this PR?
Regenerate protobuf files in Python.
Any related issues, documentation, discussions?
Closes #4335
How was this PR tested?
Tested manually and covered by the python test cases.
Was this PR authored or co-authored using generative AI tooling?
No.