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feat(sdk): Implement Pipeline Configuration with TTL #11269
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pipeline_config_json = json_format.ParseDict( | ||
{'pipelineConfig': { | ||
'pipelineTtl': pipelineConfig.get_ttl(), | ||
}}, platformSpec.platforms['kubernetes']) |
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@chensun the SDK code part of this PR correctly compiles and generates the Yaml IR as per the requirements we decided upon here.
Code: https://gist.github.com/rimolive/e0c31ccad1f6c963ec010c455b424afe
resulting IR yaml: https://gist.github.com/rimolive/fc900c8172e661a470a6890555159f97
Could you confirm that the hard coded specification of kubernetes
platform here would work? Does the platform key in the IR always stay the same, i.e., kubernetes
, or is it customized (to have it set as vertex
, for example)? If yes, then we can look into having this key dynamically specified and inserted here.
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Not sure I fully understand the question. The key is hard coded for individual platforms, and the platform backend is expected to look after the key they recognize and ignore the ones they don't. For instance, the KFP backend extracts only kubernetes
key:
pipelines/backend/src/apiserver/template/v2_template.go
Lines 72 to 78 in 6a35ee5
// Pick out Kubernetes platform configs | |
var kubernetesSpec *pipelinespec.SinglePlatformSpec | |
if t.platformSpec != nil { | |
if _, ok := t.platformSpec.Platforms["kubernetes"]; ok { | |
kubernetesSpec = t.platformSpec.Platforms["kubernetes"] | |
} | |
} |
The specific feature you're adding here, TTL, doesn't apply to Vertex. So what you have in the code and IR links look good to me.
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Thank you for clarifying @chensun !
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[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: The full list of commands accepted by this bot can be found here.
Needs approval from an approver in each of these files:
Approvers can indicate their approval by writing |
Verified the changes and was able to generate main.yaml with the below fields:
|
Signed-off-by: Ricardo M. Oliveira <[email protected]>
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Hold this PR until we get full implementation. /hold |
Description of your changes:
This PR introduces a new class
PipelineConfig
in KFP SDK to add pipeline-specific configurations with the first one: Pipeline TTL.Testing instructions
SDK
main.yaml
file:Checklist: