diff --git a/chatlab/extractor.py b/chatlab/extractor.py index 7b22443..5fa06e0 100644 --- a/chatlab/extractor.py +++ b/chatlab/extractor.py @@ -32,6 +32,7 @@ from typing import Any, Callable from docstring_parser import parse +from openai.types.chat import ChatCompletionMessageParam from pydantic import BaseModel, create_model, validate_arguments @@ -67,18 +68,12 @@ def __init__(self, func: Callable) -> None: parameters = self.validate_func.model.model_json_schema() parameters["properties"] = { - k: v - for k, v in parameters["properties"].items() - if k not in ("v__duplicate_kwargs", "args", "kwargs") + k: v for k, v in parameters["properties"].items() if k not in ("v__duplicate_kwargs", "args", "kwargs") } for param in self.docstring.params: - if (name := param.arg_name) in parameters["properties"] and ( - description := param.description - ): + if (name := param.arg_name) in parameters["properties"] and (description := param.description): parameters["properties"][name]["description"] = description - parameters["required"] = sorted( - k for k, v in parameters["properties"].items() if "default" not in v - ) + parameters["required"] = sorted(k for k, v in parameters["properties"].items() if "default" not in v) self.openai_schema = { "name": self.func.__name__, "description": self.docstring.short_description, @@ -93,7 +88,7 @@ def wrapper(*args, **kwargs): return wrapper(*args, **kwargs) - def from_response(self, completion, throw_error=True, strict: bool = None): + def from_message(self, message: ChatCompletionMessageParam, strict: bool = False): """ Parse the response from OpenAI's API and return the function call @@ -104,13 +99,9 @@ def from_response(self, completion, throw_error=True, strict: bool = None): Returns: result (any): result of the function call """ - message = completion["choices"][0]["message"] - if throw_error: - assert "function_call" in message, "No function call detected" - assert ( - message["function_call"]["name"] == self.openai_schema["name"] - ), "Function name does not match" + assert "function_call" in message, "No function call detected" + assert message["function_call"]["name"] == self.openai_schema["name"], "Function name does not match" function_call = message["function_call"] arguments = json.loads(function_call["arguments"], strict=strict) @@ -157,7 +148,7 @@ class User(OpenAISchema): """ - @property + @classmethod def openai_schema(cls): """Return the schema in the format of OpenAI's schema as jsonschema. @@ -169,27 +160,20 @@ def openai_schema(cls): """ schema = cls.model_json_schema() docstring = parse(cls.__doc__ or "") - parameters = { - k: v for k, v in schema.items() if k not in ("title", "description") - } + parameters = {k: v for k, v in schema.items() if k not in ("title", "description")} for param in docstring.params: - if (name := param.arg_name) in parameters["properties"] and ( - description := param.description - ): + if (name := param.arg_name) in parameters["properties"] and (description := param.description): if "description" not in parameters["properties"][name]: parameters["properties"][name]["description"] = description - parameters["required"] = sorted( - k for k, v in parameters["properties"].items() if "default" not in v - ) + parameters["required"] = sorted(k for k, v in parameters["properties"].items() if "default" not in v) if "description" not in schema: if docstring.short_description: schema["description"] = docstring.short_description else: schema["description"] = ( - f"Correctly extracted `{cls.__name__}` with all " - f"the required parameters with correct types" + f"Correctly extracted `{cls.__name__}` with all " f"the required parameters with correct types" ) return { @@ -221,9 +205,7 @@ def from_response( if throw_error: assert "function_call" in message, "No function call detected" - assert ( - message["function_call"]["name"] == cls.openai_schema["name"] - ), "Function name does not match" + assert message["function_call"]["name"] == cls.openai_schema["name"], "Function name does not match" return cls.model_validate_json( message["function_call"]["arguments"], diff --git a/poetry.lock b/poetry.lock index 0eb1d64..03d0616 100644 --- a/poetry.lock +++ b/poetry.lock @@ -11,6 +11,17 @@ files = [ {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"}, ] +[[package]] +name = "annotated-types" +version = "0.6.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +files = [ + {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, + {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, +] + [[package]] name = "anyio" version = "3.7.1" @@ -79,27 +90,6 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib- tests = ["attrs[tests-no-zope]", "zope-interface"] tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -[[package]] -name = "backoff" -version = "2.2.1" -description = "Function decoration for backoff and retry" -optional = true -python-versions = ">=3.7,<4.0" -files = [ - 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