* Use google.protobuf.Value in v2 for passing parameters.
* retest samples.
* Fix tests.
* Update release, more cleanup.
* Use github.com/kubeflow/pipelines/api from same repo.
* Run go mod tidy
* chore: go mod tidy
* fix v2 compile error and clean up unused code
* pr comments.
* update goldens
* Fix metadata recording.
* Update kfp mlmd client.
* fix test again
* another try.
* chore: migrate v2 DAG driver input parameters to protobuf.Value + small refactorings
* fix v2 launcher + clean up
* fix a compile error
* fix a few more tests
* fix number parsing
* clean up
* disable cache_v2 test.
Co-authored-by: Yuan Gong <gongyuan94@gmail.com>
* added model and storage layer for task
* added create task api
* added api to list tasks
* modified task proto and fixed nits
* renamed variable
* fixed ut
* fixed UT
* added UT for api_converter and resource manager
* added UT for api_converter and resource manager
* fixed BE UT
* added task storage layer UT
* changed UT
* fixed foreign key typo
* added some draft code for replay argo result
* added kfp client in v2
* deleted unused code
* run go mode
* upgraded go version in go v2 test
* run go mod tidy
* added cache client
* fixed nits
* fetched MLMD output parameter
* store output artifacts metadata from cache
* added mlmd pipeline context, exuection and output event
* fixed grpc endpoint of mlpipeline
* fixed task backend bug and fixed launcher connect bug
* fixed cache bug
* added cache info
* fixed unused test
* fixed backend test
* fixed v2 build
* refactored launcher
* removed unused code
* fixed typo
* Changes:
* add kfp v2 hello world sample
* generate go proto code
* code to unmarshal via jsonpb
* generate container spec
* add root DAG task and Makefile to run in argo
* env setup to quickly build driver container
* generate mlmd grpc golang client
* mlmd grpc client usage example
* driver-dag: put execution and context
* driver dag: put context only when execution is a DAG
* driver task: resolve parameter from parent execution
* chain dag driver with task driver
* driver: output argo parameters
* driver: build driver docker image
* driver: push image to dev registry
* compiler: root dag driver compiler
* mlmd doc
* driver: use task spec and executor spec as driver input instead
* driver: pod spec patch output for type EXECUTOR
* compiler: passing - parameter placeholder with hello world example
* include generated argo workflow in source control
* driver no longer outputs parameters
* publisher: publish parameters to execution custom properties
* driver, publisher: execution state
* publisher: remove built binary from repo
* sample: add producer consumer sample
* sample: producer consumer sample with only parameters
* e2e output parameter support
* e2e: driver resolves input parameter from tasks in the same DAG
* compiler: convert KFP task dependency to argo task dependency
* feat: refactor publisher so it can run as an entrypoint
* build: entrypoint image
* feat: executor and publisher in one container via entrypoint rewriting
* fixed compile error (#1)
* add licenses
* update readme
Co-authored-by: capri-xiyue <52932582+capri-xiyue@users.noreply.github.com>
Chen Sun
Connor McCarthy
Ajay Gopinathan
Yaqi Ji
Yuan (Bob) Gong
capri-xiyue