* use autodoc default options
* sort symbol order by typical usage patterns
* include summary of submodule symbols
* expose Input[] and Output[] type generics
* include tables of contents on API reference docs pages
* expand global TOC for discoverability
* fix missing reference / circular import problem
* add module-level docstrings
* update compiler docstrings
* update registry module docstrings
* add BaseComponent and children to public api, but discourage use
* update artifact docstrings and type annotations
* update dsl docstrings
* update client docstrings
* clean up kfp.__init__
* add dsl placeholder docstrings
* many more docstring updates
* document type aliases in dsl module
* use __all__ in top-level modules to record public api
* add index and source files
* add kubeflow assets to _static/
* add and pin requirements
* use block quote instead of header for readme notice
* update conf.py
* delete old files
* Initial execution cache
This commit adds initial execution cache service. Including http service
and execution key generation.
* fix master
* fix go.sum
* update docs that still refer to KFP latest SDK reference
* support local file storage type for local volume mount path, refer: https://github.com/kubeflow/pipelines/issues/4208
* add todo comment to support directory and filePath include wildcards '*', detail refer: https://github.com/kubeflow/pipelines/issues/4208
* revert old code indent
* run 'npm run format' to format code
* support tensorboard viewer and other visualize Results using volume mount path, modify 'file' schema to 'volume':
1. source schema: volume://volume-name/relative/path/from/volume/xxx.csv
2. for tensorboard(also support Series1:volume://volume-name/path_to_model_dir_1,Series2:volume://volume-name/path_to_model_dir_2):
* check volume-name was specified in podTemplateSpec( which was inject by VIEWER_TENSORBOARD_POD_TEMPLATE_SPEC_PATH env)
* check /relative/path/from/volume/xxx file path was prefix-mounted in podTemplateSpec
3. for others:
* check volume-name was specified at ml-pipeline-ui pod
* check /relative/path/from/volume/xxx.csv file path exist
* fix test and add more tests
* change error message not found to not exist.
* fix tensorboard create test
* combining volume mount path and key as artifacts path
* extra complex code to a function and add more test
* use ml-pipeline-ui container name to find server container instead of use containers[0]
* fix review suggestion: https://github.com/kubeflow/pipelines/pull/4236
* format code
* extract how to find file path on a pod volume to a common function, and optimize error message
* fix k8s-helper.test error
* add more documentation and fix mistake: volumeMountPath to filePathInVolume
* fix test error
* Update k8s-helper.test.ts
* format error message
* document volume support for tensorboard viewer and other visualize results
* add beta status
* change beta status to alpha status
Co-authored-by: Yuan (Bob) Gong <gongyuan94@gmail.com>
* Prepare SDK docs environment so its easier to understand how to build the docs locally so theyre consistent with ReadTheDocs.
* Clean up docstrings for kfp.Client
* Add in updates to the docs for compiler and components
* Update components area to add in code references and make formatting a little more consistent.
* Clean up containers, add in custom CSS to ensure we do not overflow on inline code blocks
* Clean up containers, add in custom CSS to ensure we do not overflow on inline code blocks
* Remove unused kfp.notebook package links
* Clean up a few more errant references
* Clean up the DSL docs some more
* Update SDK docs for KFP extensions to follow Sphinx guidelines
* Clean up formatting of docstrings after Ark-Kuns comments
* enable pagination when expanding experiment in both the home page and the archive page
* Revert "enable pagination when expanding experiment in both the home page and the archive page"
This reverts commit 5b672739dd.
* checkpoint
* Revert "checkpoint"
This reverts commit 3b17699301.
* Add a brief kfp 1.0 note, with pointers to our detailed docs
* have separate versioning policy file; have more links
* partially addressed comments
* address comments
* address comments
* fix a link
* fix alpha, beta
* address comments
* Added Python API reference docs
* Switched to the RTD theme
* Imporved the documentation
* Improved the docs
* Simplified the generator files
* Added sdk/python/requirements.txt
* Added licenses
* Added more information and comments to the conf.py file
* Added kfp.aws
* Fixed typos
* Removed the header
* Hiding some private classes
* Removed the explicit inclusion of kfp.components.structures as per Ning's request
* Added OWNERS file
* Changed the index title
* Removed the subheader
* Added the links to main documentation and source code
* Removed the listing of the kfp.components._structures
Connor McCarthy
Chen Sun
Alexey Volkov
Rui Fang
Yuan (Bob) Gong
haibingzhao
Alex Latchford
jingzhang36
Alexey Volkov
Riley Bauer
Sarah Maddox
hongye-sun
qimingj
Pascal Vicaire
Pascal Vicaire