* Replaced `_instance_to_dict(obj)` with `obj.to_dict()`
* Fixed the capitalization in _python_function_name_to_component_name
It now only changes the case of the first letter.
* Replaced the _extract_component_metadata function with _extract_component_interface
* Stopped adding newline to the component description.
* Handling None inputs and outputs
* Not including emply inputs and outputs in component spec
* Renamed the private attributes that the @pipeline decorator sets
* Changged _extract_pipeline_metadata to use _extract_component_interface
* Fixed issues based on feedback
Two PRs have been merged that turned out to be slightly incompatible. This PR fixes the failing tests.
Root causes:
* The pipeline parameter default values were not properly serialized when constructing the metadata object.
* The `ParameterMeta` class did not validate the default value type, so the lack of serialization has not been caught. The `ParameterMeta` was replaced by `InputSpec` which has strict type validation.
* Previously we did not have samples with complex pipeline parameter default values (e.g. lists) that could trigger the failures. Then two samples were added that had complex default values.
* Travis does not re-run tests before merging
* Prow does not re-run Travis tests before merging
* SDK - Refactoring - Replaced the ParameterMeta class with InputSpec and OutputSpec
* SDK - Refactoring - Replaced the internal PipelineMeta class with ComponentSpec
* SDK - Refactoring - Replaced the internal ComponentMeta class with ComponentSpec
* SDK - Refactoring - Replaced the *Meta classes with the *Spec classes
Replaced the ComponentMeta class with ComponentSpec
Replaced the PipelineMeta class with ComponentSpec
Replaced the ParameterMeta class with InputSpec and OutputSpec
* Removed empty fields
* SDK - Refactoring - Replaced the TypeMeta class
The PipelineParam no longer exposes the private TypeMeta class
Fixes#1420
The refactoring PR is part of a series of PR which unifies the metadata and specification types.
* Lint Python code for undefined names
* Lint Python code for undefined names
* Exclude tfdv.py to workaround an overzealous pytest
* Fixup for tfdv.py
* Fixup for tfdv.py
* Fixup for tfdv.py
* add default value type checking
* add jsonschema dependency
* fix unit test error
* workaround for travis python package installation
* add back jsonschema version
* fix sample test error in type checking sample
* add jsonschema in requirements such that sphinx works fine
* remove the graph component output; add support for dependency on graph component
* fix bug; adjust unit tests
* add support for explicit dependency of graph component
* adjust unit test
* add a todo
* bug fixes for unit tests
* refactor condition_param code; fix bug when the inputs task name is None; need to remove the print later
* do not pass condition param as arguments to downstream ops, remove print logs; add unit tests
* add unit test golden yaml
* fix bug
* fix the sample
* add a While in the ops group
* deepcopy the while conditions when entering and exiting
* add while condition resolution in the compiler
* define graph component decorator
* remove while loop related codes
* fixes
* remove while loop related code
* fix bugs
* generate a unique ops group name and being able to retrieve by name
* resolve the opsgroups inputs and dependencies based on the pipelineparam in the condition
* add a recursive ops_groups
* fix bugs of the recursive opsgroup template name
* resolve the recursive template name and arguments
* add validity checks
* add more comments
* add usage comment in graph_component
* add unit test for the graph opsgraph
* refactor the opsgroup
* add unit test for the graph_component decorator
* exposing graph_component decorator
* add recursive compiler unit tests
* fix the bug of opsgroup name
adjust the graph_component usage example
fix index bugs
use with statement in the graph_component instead of directly calling
the enter/exit functions
* add a todo to combine the graph_component and component decorators
* remove GCSPath fields to avoid artifact type confusion
change the type json schema field name to openAPIV3Schema
* fix unit tests; add unit test for openapishema property
* add ignore_type in pipelineparam
* change the names in the artifact types to avoid confusion with the parameter types
* based on the google python style guide, change the camel case to lower case with underscores
* add core types and type checking function
* fix unit test bug
* avoid defining dynamic classes
* typo fix
* add component metadata format
* add a construct for the component decorator
* add default values for the meta classes
* add input/output types to the metadata
* add from_dict in TypeMeta
* small fix
* add unit tests
* use python struct for the openapi schema
* add default in parameter
* add default value
* remove the str restriction for the param default
* bug fix
* add pipelinemeta
* add pipeline metadata
* ignore annotation if it is not str/BaseType/dict
* update param name in the check_type functions
remove schema validators for GCRPath, and adjust for GCRPath, GCSPath
change _check_valid_dict to _check_valid_type_dict to avoid confusion
fix typo in the comments
adjust function order for readability
* remove default values for non-primitive types in the function signature
update the _check_valid_type_dict name
* pass metadata from component decorator and task factory to containerOp
* pass pipeline metadata to Pipeline
* fix unit test
* typo in the comments
* move the metadata classes to a separate module
* fix unit test
* small change
* add __eq__ to meta classes
not export _metadata classes
* nothing
* fix unit test
* unit test python component
* unit test python pipeline
* fix bug: duplicate variable of args
* fix unit tests
* move python_component and _component decorator in _component file
* remove the print
* change parameter default value to None
* add functools wraps around _component decorator
* TypeMeta accept both str and dict
* fix indent, add unit test for type as strings
* do not set default value for the name field in ParameterMeta, ComponentMeta, and PipelineMeta
* add type check in task factory
* output error message
* add type check in component decorator; move the metadata assignment out of the containerop __init__ function
* fix bug; add unit test
* add more unit tests
* more unit tests; fix bugs
* more unit tests; fix bugs
* add unit tests
* more unit tests
* add type check switch; add unit tests
* add compiler option for type check
* resolving pr comments
* add unit test for pipeline param check with component types; fix the bug; also fix the bug when there are not a single return annotations
* add core types and type checking function
* fix unit test bug
* avoid defining dynamic classes
* typo fix
* add component metadata format
* add a construct for the component decorator
* add default values for the meta classes
* add input/output types to the metadata
* add from_dict in TypeMeta
* small fix
* add unit tests
* use python struct for the openapi schema
* add default in parameter
* add default value
* remove the str restriction for the param default
* bug fix
* add pipelinemeta
* add pipeline metadata
* ignore annotation if it is not str/BaseType/dict
* update param name in the check_type functions
remove schema validators for GCRPath, and adjust for GCRPath, GCSPath
change _check_valid_dict to _check_valid_type_dict to avoid confusion
fix typo in the comments
adjust function order for readability
* remove default values for non-primitive types in the function signature
update the _check_valid_type_dict name
* typo in the comments
* move the metadata classes to a separate module
* fix unit test
* add __eq__ to meta classes
not export _metadata classes
* fix unit test
* fix bug: duplicate variable of args
* move python_component and _component decorator in _component file
* remove the print
Alexey Volkov
Christian Clauss
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