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semantic-kernel/python/semantic_kernel/processes/process_builder.py
T
Evan Mattson 174bdabf38 Python: Introduce feature decorator to allow for experimental and release candidate decorator usage (#10691)
### Motivation and Context

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Please help reviewers and future users, providing the following
information:
  1. Why is this change required?
  2. What problem does it solve?
  3. What scenario does it contribute to?
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This change is required to improve the flexibility and maintainability
of our feature annotation system. Previously, separate decorators (e.g.,
`experimental_function` and `experimental_class`) were used to mark
experimental features, resulting in code duplication and limiting our
ability to handle additional feature stages. As our SDK evolves, we need
a unified approach that can support multiple stages—such as
experimental, release candidate, and future states—while also allowing
version information for release candidate features to be centrally
managed.

### Description

<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->

This PR refactors our feature decorators by introducing a unified
`stage` decorator that updates the docstring and attaches metadata for
both functions and classes. Two convenience decorators, `experimental`
and `release_candidate`, are built on top of `stage`:
- The `experimental` decorator marks features as experimental and sets
an `is_experimental` attribute.
- The `release_candidate` decorator supports multiple usage patterns
(with or without parentheses and with an optional version parameter) to
mark features as release candidate and sets an `is_release_candidate`
attribute.

This unified approach reduces duplication, simplifies the codebase, and
lays the groundwork for easily extending feature stages in the future.

This decorator supports the following usage patterns:
- `@experimental` (for both classes and functions)
- `@release_candidate`  (no parentheses)
- `@release_candidate()`  (empty parentheses)
- `@release_candidate("1.21.3-rc1")`  (positional version)
- `@release_candidate(version="1.21.3-rc1")`  (keyword version)

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [X] The code builds clean without any errors or warnings
- [X] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄
2025-02-27 00:17:54 +00:00

141 lines
6.2 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
import contextlib
import inspect
from collections.abc import Callable
from copy import copy
from enum import Enum
from typing import TYPE_CHECKING
from pydantic import Field
from semantic_kernel.exceptions.process_exceptions import ProcessInvalidConfigurationException
from semantic_kernel.processes.kernel_process.kernel_process_function_target import KernelProcessFunctionTarget
from semantic_kernel.processes.kernel_process.kernel_process_state import KernelProcessState
from semantic_kernel.processes.kernel_process.kernel_process_step_info import KernelProcessStepInfo
from semantic_kernel.processes.process_edge_builder import ProcessEdgeBuilder
from semantic_kernel.processes.process_function_target_builder import ProcessFunctionTargetBuilder
from semantic_kernel.processes.process_step_builder import ProcessStepBuilder
from semantic_kernel.processes.process_step_edge_builder import ProcessStepEdgeBuilder
from semantic_kernel.processes.process_types import TState, TStep
from semantic_kernel.processes.step_utils import get_fully_qualified_name
from semantic_kernel.utils.feature_stage_decorator import experimental
if TYPE_CHECKING:
from semantic_kernel.processes.kernel_process.kernel_process import KernelProcess
@experimental
class ProcessBuilder(ProcessStepBuilder):
"""A builder for a process."""
entry_steps: list["ProcessStepBuilder"] = Field(default_factory=list)
external_event_target_map: dict[str, "ProcessFunctionTargetBuilder"] = Field(default_factory=dict)
has_parent_process: bool = False
steps: list["ProcessStepBuilder"] = Field(default_factory=list)
factories: dict[str, Callable] = Field(default_factory=dict)
def add_step(
self,
step_type: type[TStep],
name: str | None = None,
initial_state: TState | None = None,
factory_function: Callable | None = None,
**kwargs,
) -> ProcessStepBuilder[TState, TStep]:
"""Register a step type with optional constructor arguments.
Args:
step_type: The step type.
name: The name of the step. Defaults to None.
initial_state: The initial state of the step. Defaults to None.
factory_function: The factory function. Allows for a callable that is used to create the step instance
that may have complex dependencies that cannot be JSON serialized or deserialized. Defaults to None.
kwargs: Additional keyword arguments.
Returns:
The process step builder.
"""
if not inspect.isclass(step_type):
raise ProcessInvalidConfigurationException(
f"Expected a class type, but got an instance of {type(step_type).__name__}"
)
if factory_function:
fq_name = get_fully_qualified_name(step_type)
self.factories[fq_name] = factory_function
name = name or step_type.__name__
process_step_builder = ProcessStepBuilder(type=step_type, name=name, initial_state=initial_state, **kwargs)
self.steps.append(process_step_builder)
return process_step_builder
def add_step_from_process(self, kernel_process: "ProcessBuilder") -> "ProcessBuilder":
"""Adds a step from the given process."""
kernel_process.has_parent_process = True
self.steps.append(kernel_process)
return kernel_process
def resolve_function_target(
self, function_name: str | None, parameter_name: str | None
) -> KernelProcessFunctionTarget:
"""Resolves the function target."""
targets = []
for step in self.entry_steps:
with contextlib.suppress(ValueError):
targets.append(step.resolve_function_target(function_name, parameter_name))
if len(targets) == 0:
raise ValueError(f"No targets found for function '{function_name}.{parameter_name}'")
if len(targets) > 1:
raise ValueError(f"Multiple targets found for function '{function_name}.{parameter_name}'")
return targets[0]
def where_input_event_is(self, event_id: str | Enum) -> "ProcessFunctionTargetBuilder":
"""Filters the input event."""
event_id_str: str = event_id.value if isinstance(event_id, Enum) else event_id
if event_id_str not in self.external_event_target_map:
raise ValueError(f"The process named '{self.name}' does not expose an event with Id '{event_id_str}'")
target = self.external_event_target_map[event_id_str]
target = copy(target)
target.step = self
target.target_event_id = event_id_str
return target
def on_input_event(self, event_id: str | Enum) -> "ProcessEdgeBuilder": # type: ignore
"""Creates a new ProcessEdgeBuilder for the input event."""
from semantic_kernel.processes.process_builder import ProcessBuilder # noqa: F401
ProcessEdgeBuilder.model_rebuild()
event_id_str: str = event_id.value if isinstance(event_id, Enum) else event_id
return ProcessEdgeBuilder(source=self, event_id=event_id_str)
def link_to(self, event_id: str, edge_builder: ProcessStepEdgeBuilder) -> None:
"""Links to the given event ID."""
if edge_builder.target is None:
raise ValueError("Target must be set before linking")
self.entry_steps.append(edge_builder.source)
self.external_event_target_map[event_id] = edge_builder.target
super().link_to(event_id, edge_builder)
def build_step(self) -> KernelProcessStepInfo:
"""Builds the process step."""
# The process is a step so we can return the step info directly
return self.build()
def build(self) -> "KernelProcess":
"""Builds the KernelProcess."""
from semantic_kernel.processes.kernel_process.kernel_process import KernelProcess
built_edges = {key: [edge.build() for edge in edges] for key, edges in self.edges.items()}
built_steps = [step.build_step() for step in self.steps]
process_state = KernelProcessState(name=self.name, id=self.id if self.has_parent_process else None)
return KernelProcess(state=process_state, steps=built_steps, edges=built_edges, factories=self.factories)