mirror of
https://github.com/microsoft/semantic-kernel.git
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Eduard van Valkenburg
739e7f0e2a
### Motivation and Context <!-- 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? 4. If it fixes an open issue, please link to the issue here. --> The existing Exceptions structure was very much inspired by dotnet, this is now replaced with a pythonic implementations. This means all Exceptions derive from KernelException and then specialise for different purposes. Closes #2194 ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> Added folder for all exception types, all can be imported through `from semantic_kernel.exceptions import ...` no need for a user to know which file the relevant one is in, but keeps things tidy for developers. Removed old KernelException, added back subtypes for the errorcodes. Went through everything to make sure the `raise ... from exc` pattern is used as much as possible as that returns a better stacktrace. ### 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 😄
64 lines
2.4 KiB
Python
64 lines
2.4 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import logging
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from typing import Any, Mapping, Optional
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from pydantic import Field
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from semantic_kernel.contents.kernel_content import KernelContent
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from semantic_kernel.exceptions import FunctionResultError
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from semantic_kernel.functions.kernel_function_metadata import KernelFunctionMetadata
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from semantic_kernel.kernel_pydantic import KernelBaseModel
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logger = logging.getLogger(__name__)
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class FunctionResult(KernelBaseModel):
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"""The result of a function.
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Arguments:
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function (KernelFunctionMetadata): The metadata of the function that was invoked.
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value (Any): The value of the result.
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metadata (Mapping[str, Any]): The metadata of the result.
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Methods:
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__str__: Get the string representation of the result, will call str() on the value,
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or if the value is a list, will call str() on the first element of the list.
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get_inner_content: Get the inner content of the function result
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when that is a KernelContent or subclass of the first item of the value if it is a list.
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"""
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function: KernelFunctionMetadata
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value: Any
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metadata: Mapping[str, Any] = Field(default_factory=dict)
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def __str__(self) -> str:
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"""Get the string representation of the result."""
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if self.value:
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try:
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if isinstance(self.value, list):
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return str(self.value[0])
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elif isinstance(self.value, dict):
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# TODO: remove this once function result doesn't include input args
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# This is so an integration test can pass.
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return str(list(self.value.values())[-1])
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return str(self.value)
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except Exception as e:
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raise FunctionResultError(f"Failed to convert value to string: {e}") from e
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else:
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return ""
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def get_inner_content(self, index: int = 0) -> Optional[Any]:
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"""Get the inner content of the function result.
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Arguments:
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index (int): The index of the inner content if the inner content is a list, default 0.
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"""
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if isinstance(self.value, list):
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if isinstance(self.value[index], KernelContent):
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return self.value[index].inner_content
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if isinstance(self.value, KernelContent):
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return self.value.inner_content
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return None
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