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### 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. --> Major work to replace the context with Kernel Arguments on the front-end and Function Results on the back. Updated the function decorator to a new approach, in line with dotnet. Revamps the way function are called, allowing native functions to be completely ignorant of SK, other then the decorator. This also moves things into the new folder structure in sync with dotnet. ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> Adds: - KernelArguments, a dict-like class that replaces the variables in KernelContext. Closes #4565 - FunctionResult, a class to hold the results of function executions, includes the function, the value and metadata, as well as two convenient function to get the value out of it (str and get_inner_content) the first is generic, the second specifically for KernelContent responses (from AI services). - AI Service Selector class, has a default, which is based on the order in the arguments followed by the order in the functions, can be overridden to implement your own strategy. Closes #4631 - Introduces ChatHistory and refactors the PromptTemplateConfig. Closes #4856, #4630 - Improves parsing of templates, will now all validate during creation and throw an error then, instead of some that do not check for validaty until used. - Introduces named_args block and thereby the ability to have multiple arguments for a function call in a template. Closes #5003 Updates: - kernel_function decorators, the parameter decorator was removed and instead we now use Annotated to add a description of a field and we get the type and required from the function definition. - core plugins, use the new approach to kernel_function decorators. - planners, template engines have all been updated to use the kernel and kernelarguments instead of Context. - Events have been updated, now use kernelarguments and function_result - Tokenizers support for named_args and improvements on parsing and checking. - Kernel examples and notebooks to use the latest code. - All unit and integration tests. There is more code coverage now than before. Removed: - kernelContext - kernel_function_parameter_decorator - delegate handling code for native functions - file_io_plugin and tests - SemanticFunctionConfig - ChatPromptTemplate ### 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 😄 --------- Co-authored-by: Evan Mattson <[email protected]> Co-authored-by: Evan Mattson <[email protected]> Co-authored-by: Evan Mattson <[email protected]>
306 lines
11 KiB
Python
306 lines
11 KiB
Python
import json
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import logging
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import sys
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from typing import Dict, Mapping, Optional, Union
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if sys.version_info >= (3, 9):
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from typing import Annotated
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else:
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from typing_extensions import Annotated
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from urllib.parse import urljoin
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import aiohttp
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import requests
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from openapi_core import Spec, unmarshal_request
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from openapi_core.contrib.requests import RequestsOpenAPIRequest
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from openapi_core.exceptions import OpenAPIError
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from prance import ResolvingParser
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from semantic_kernel.connectors.ai.open_ai.const import (
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USER_AGENT,
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)
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from semantic_kernel.connectors.telemetry import HTTP_USER_AGENT
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from semantic_kernel.functions.kernel_function import KernelFunction
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from semantic_kernel.functions.kernel_function_decorator import kernel_function
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from semantic_kernel.kernel import Kernel
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logger: logging.Logger = logging.getLogger(__name__)
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class PreparedRestApiRequest:
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def __init__(self, method: str, url: str, params=None, headers=None, request_body=None):
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self.method = method
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self.url = url
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self.params = params
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self.headers = headers
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self.request_body = request_body
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def __repr__(self):
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return (
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"PreparedRestApiRequest("
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f"method={self.method}, "
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f"url={self.url}, "
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f"params={self.params}, "
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f"headers={self.headers}, "
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f"request_body={self.request_body})"
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)
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def validate_request(self, spec: Spec, **kwargs):
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if kwargs.get("logger"):
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logger.warning("The `logger` parameter is deprecated. Please use the `logging` module instead.")
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request = requests.Request(
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self.method,
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self.url,
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params=self.params,
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headers=self.headers,
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json=self.request_body,
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)
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openapi_request = RequestsOpenAPIRequest(request=request)
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try:
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unmarshal_request(openapi_request, spec=spec)
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return True
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except OpenAPIError as e:
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logger.debug(f"Error validating request: {e}", exc_info=True)
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return False
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class RestApiOperation:
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def __init__(
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self,
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id: str,
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method: str,
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server_url: str,
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path: str,
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summary: Optional[str] = None,
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description: Optional[str] = None,
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params: Optional[Mapping[str, str]] = None,
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request_body: Optional[Mapping[str, str]] = None,
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):
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self.id = id
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self.method = method
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self.server_url = server_url
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self.path = path
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self.summary = summary
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self.description = description
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self.params = params
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self.request_body = request_body
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"""
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Fills in this RestApiOperation's parameters and payload with the provided values
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:param path_params: A dictionary of path parameters
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:param query_params: A dictionary of query parameters
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:param headers: A dictionary of headers
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:param request_body: The payload of the request
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:return: A PreparedRestApiRequest object
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"""
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def prepare_request(
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self, path_params=None, query_params=None, headers=None, request_body=None
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) -> PreparedRestApiRequest:
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path = self.path
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if path_params:
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path = path.format(**path_params)
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url = urljoin(self.server_url, path)
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processed_query_params, processed_headers = {}, headers
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for param in self.params:
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param_name = param["name"]
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param_schema = param["schema"]
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param_default = param_schema.get("default", None)
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if param["in"] == "query":
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if query_params and param_name in query_params:
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processed_query_params[param_name] = query_params[param_name]
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elif param["schema"] and "default" in param["schema"] is not None:
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processed_query_params[param_name] = param_default
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elif param["in"] == "header":
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if headers and param_name in headers:
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processed_headers[param_name] = headers[param_name]
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elif param_default is not None:
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processed_headers[param_name] = param_default
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elif param["in"] == "path":
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if not path_params or param_name not in path_params:
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raise ValueError(f"Required path parameter {param_name} not provided")
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processed_payload = None
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if self.request_body:
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if request_body is None and "required" in self.request_body and self.request_body["required"]:
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raise ValueError("Payload is required but was not provided")
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content = self.request_body["content"]
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content_type = list(content.keys())[0]
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processed_headers["Content-Type"] = content_type
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processed_payload = request_body
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processed_headers[USER_AGENT] = " ".join((HTTP_USER_AGENT, processed_headers.get(USER_AGENT, ""))).rstrip()
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req = PreparedRestApiRequest(
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method=self.method,
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url=url,
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params=processed_query_params,
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headers=processed_headers,
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request_body=processed_payload,
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)
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return req
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def __repr__(self):
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return (
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"RestApiOperation("
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f"id={self.id}, "
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f"method={self.method}, "
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f"server_url={self.server_url}, "
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f"path={self.path}, "
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f"params={self.params}, "
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f"request_body={self.request_body}, "
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f"summary={self.summary}, "
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f"description={self.description})"
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)
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class OpenApiParser:
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def __init__(self, **kwargs):
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if kwargs.get("logger"):
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logger.warning("The `logger` parameter is deprecated. Please use the `logging` module instead.")
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"""
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Import an OpenAPI file.
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:param openapi_file: The path to the OpenAPI file which can be local or a URL.
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:return: The parsed OpenAPI file
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"""
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def parse(self, openapi_document):
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parser = ResolvingParser(openapi_document)
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return parser.specification
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"""
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Creates a RestApiOperation object for each path/method combination
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:param parsed_document: The parsed OpenAPI document
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:return: A dictionary of RestApiOperation objects keyed by operationId
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"""
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def create_rest_api_operations(self, parsed_document) -> Dict[str, RestApiOperation]:
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paths = parsed_document.get("paths", {})
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request_objects = {}
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for path, methods in paths.items():
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for method, details in methods.items():
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server_url = parsed_document.get("servers", [])
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server_url = server_url[0].get("url") if server_url else "/"
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request_method = method.lower()
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parameters = details.get("parameters", [])
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operationId = details.get("operationId", path + "_" + request_method)
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summary = details.get("summary", None)
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description = details.get("description", None)
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rest_api_operation = RestApiOperation(
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id=operationId,
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method=request_method,
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server_url=server_url,
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path=path,
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params=parameters,
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request_body=details.get("requestBody", None),
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summary=summary,
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description=description,
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)
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request_objects[operationId] = rest_api_operation
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return request_objects
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class OpenApiRunner:
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def __init__(
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self,
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parsed_openapi_document: Mapping[str, str],
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):
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self.spec = Spec.from_dict(parsed_openapi_document)
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async def run_operation(
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self,
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operation: RestApiOperation,
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path_params: Optional[Dict[str, str]] = None,
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query_params: Optional[Dict[str, str]] = None,
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headers: Optional[Dict[str, str]] = None,
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request_body: Optional[Union[str, Dict[str, str]]] = None,
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) -> str:
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prepared_request = operation.prepare_request(
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path_params=path_params,
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query_params=query_params,
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headers=headers,
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request_body=request_body,
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)
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is_valid = prepared_request.validate_request(spec=self.spec)
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if not is_valid:
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return None
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async with aiohttp.ClientSession(raise_for_status=True) as session:
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async with session.request(
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prepared_request.method,
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prepared_request.url,
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params=prepared_request.params,
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headers=prepared_request.headers,
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json=prepared_request.request_body,
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) as response:
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return await response.text()
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"""
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Registers a plugin with the kernel that can run OpenAPI operations.
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:param kernel: The kernel to register the plugin with
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:param plugin_name: The name of the plugin
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:param openapi_document: The OpenAPI document to register. Can be a filename or URL
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:return: A dictionary of KernelFunctions keyed by operationId
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"""
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def register_openapi_plugin(
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kernel: Kernel,
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plugin_name: str,
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openapi_document: str,
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) -> Dict[str, KernelFunction]:
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parser = OpenApiParser()
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parsed_doc = parser.parse(openapi_document)
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operations = parser.create_rest_api_operations(parsed_doc)
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openapi_runner = OpenApiRunner(parsed_openapi_document=parsed_doc)
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plugin = {}
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def create_run_operation_function(runner: OpenApiRunner, operation: RestApiOperation):
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@kernel_function(
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description=operation.summary if operation.summary else operation.description,
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name=operation_id,
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)
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async def run_openapi_operation(
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path_params: Annotated[Optional[Union[Dict, str]], "A dictionary of path parameters"] = None,
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query_params: Annotated[Optional[Union[Dict, str]], "A dictionary of query parameters"] = None,
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headers: Annotated[Optional[Union[Dict, str]], "A dictionary of headers"] = None,
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request_body: Annotated[Optional[Union[Dict, str]], "A dictionary of the request body"] = None,
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) -> str:
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response = await runner.run_operation(
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operation,
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path_params=json.loads(path_params)
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if isinstance(path_params, str)
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else path_params
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if path_params
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else None,
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query_params=json.loads(query_params)
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if isinstance(query_params, str)
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else query_params
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if query_params
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else None,
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headers=json.loads(headers) if isinstance(headers, str) else headers if headers else None,
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request_body=json.loads(request_body)
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if isinstance(request_body, str)
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else request_body
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if request_body
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else None,
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)
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return response
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return run_openapi_operation
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for operation_id, operation in operations.items():
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logger.info(f"Registering OpenAPI operation: {plugin_name}.{operation_id}")
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plugin[operation_id] = create_run_operation_function(openapi_runner, operation)
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return kernel.import_plugin(plugin, plugin_name)
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