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### Motivation and Context
SK Python processes have been missing support to be able to serialize
and deserialize JSON state for a process and its steps. This PR brings
in the functionality to allow the developer to do so. The
`getting_started_with_processes` step03 has been update to reflect this
latest functionality. It is possible to dump a JSON state to a file, and
reload the state to continue running the process.
State metadata that handles the version for steps is managed via a
decorator:
```python
@kernel_process_step_metadata("CutFoodStep.V1")
class CutFoodStep(KernelProcessStep):
class Functions(Enum):
ChopFood = "ChopFood"
SliceFood = "SliceFood"
```
If no decorator/state is supplied the step will be built with a default
state version of "v1" which aligns with .Net.
<!-- Thank you for your contribution to the semantic-kernel repo!
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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### Description
Support state and versioning management for Python processes.
- Update samples to reflect changes.
- Closes #9584
<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->
### 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
- [ ] I didn't break anyone 😄
67 lines
2.5 KiB
Python
67 lines
2.5 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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from collections.abc import Callable
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from typing import TYPE_CHECKING, Any
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from pydantic import Field
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from semantic_kernel.processes.kernel_process.kernel_process_edge import KernelProcessEdge
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from semantic_kernel.processes.kernel_process.kernel_process_state import KernelProcessState
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from semantic_kernel.processes.kernel_process.kernel_process_step_info import KernelProcessStepInfo
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from semantic_kernel.processes.process_state_metadata_utils import kernel_process_to_process_state_metadata
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from semantic_kernel.utils.feature_stage_decorator import experimental
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if TYPE_CHECKING:
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from semantic_kernel.processes.kernel_process.kernel_process_edge import KernelProcessEdge
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from semantic_kernel.processes.kernel_process.kernel_process_step_state_metadata import KernelProcessStateMetadata
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@experimental
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class KernelProcess(KernelProcessStepInfo):
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"""A kernel process."""
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steps: list[KernelProcessStepInfo] = Field(default_factory=list)
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factories: dict[str, Callable] = Field(default_factory=dict)
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def __init__(
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self,
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state: KernelProcessState,
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steps: list[KernelProcessStepInfo],
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edges: dict[str, list["KernelProcessEdge"]] | None = None,
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factories: dict[str, Callable] | None = None,
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):
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"""Initialize the kernel process.
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Args:
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state: The state of the process.
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steps: The steps of the process.
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edges: The edges of the process. Defaults to None.
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factories: The factories of the process. This allows for the creation of
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steps that require complex dependencies that cannot be JSON serialized or deserialized.
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"""
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if not state:
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raise ValueError("state cannot be None")
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if not steps:
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raise ValueError("steps cannot be None")
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if not state.name:
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raise ValueError("state.Name cannot be None")
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process_steps = []
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process_steps.extend(steps)
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args: dict[str, Any] = {
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"steps": process_steps,
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"inner_step_type": KernelProcess,
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"state": state,
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"output_edges": edges or {},
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}
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if factories:
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args["factories"] = factories
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super().__init__(**args)
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def to_process_state_metadata(self) -> "KernelProcessStateMetadata":
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"""Converts a kernel process to process state metadata."""
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return kernel_process_to_process_state_metadata(self)
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