From 7c0f1bf23f7dc336a65229a4d361116ea0ded27a Mon Sep 17 00:00:00 2001 From: Predrag Gruevski <2348618+obi1kenobi@users.noreply.github.com> Date: Mon, 16 Oct 2023 21:13:31 -0400 Subject: [PATCH] Upgrade experimental package dependencies and use Poetry 1.6.1. (#11339) Part of upgrading our CI to use Poetry 1.6.1. --- .../autonomous_agents/autogpt/prompt.py | 25 +- .../autonomous_agents/baby_agi/baby_agi.py | 22 +- .../langchain_experimental/cpal/models.py | 4 +- .../langchain_experimental/llm_bash/base.py | 4 +- .../llms/jsonformer_decoder.py | 4 +- .../llms/rellm_decoder.py | 4 +- .../langchain_experimental/pal_chain/base.py | 8 +- .../langchain_experimental/smart_llm/base.py | 4 +- libs/experimental/poetry.lock | 2925 +++++++++-------- 9 files changed, 1616 insertions(+), 1384 deletions(-) diff --git a/libs/experimental/langchain_experimental/autonomous_agents/autogpt/prompt.py b/libs/experimental/langchain_experimental/autonomous_agents/autogpt/prompt.py index af27b289c6..54fcb4f3d4 100644 --- a/libs/experimental/langchain_experimental/autonomous_agents/autogpt/prompt.py +++ b/libs/experimental/langchain_experimental/autonomous_agents/autogpt/prompt.py @@ -12,7 +12,30 @@ from langchain_experimental.autonomous_agents.autogpt.prompt_generator import ge from langchain_experimental.pydantic_v1 import BaseModel -class AutoGPTPrompt(BaseChatPromptTemplate, BaseModel): +# This class has a metaclass conflict: both `BaseChatPromptTemplate` and `BaseModel` +# define a metaclass to use, and the two metaclasses attempt to define +# the same functions but in mutually-incompatible ways. +# It isn't clear how to resolve this, and this code predates mypy +# beginning to perform that check. +# +# Mypy errors: +# ``` +# Definition of "__private_attributes__" in base class "BaseModel" is +# incompatible with definition in base class "BaseModel" [misc] +# Definition of "__repr_name__" in base class "Representation" is +# incompatible with definition in base class "BaseModel" [misc] +# Definition of "__pretty__" in base class "Representation" is +# incompatible with definition in base class "BaseModel" [misc] +# Definition of "__repr_str__" in base class "Representation" is +# incompatible with definition in base class "BaseModel" [misc] +# Definition of "__rich_repr__" in base class "Representation" is +# incompatible with definition in base class "BaseModel" [misc] +# Metaclass conflict: the metaclass of a derived class must be +# a (non-strict) subclass of the metaclasses of all its bases [misc] +# ``` +# +# TODO: look into refactoring this class in a way that avoids the mypy type errors +class AutoGPTPrompt(BaseChatPromptTemplate, BaseModel): # type: ignore[misc] """Prompt for AutoGPT.""" ai_name: str diff --git a/libs/experimental/langchain_experimental/autonomous_agents/baby_agi/baby_agi.py b/libs/experimental/langchain_experimental/autonomous_agents/baby_agi/baby_agi.py index 9fef44f0e6..54a0137ab9 100644 --- a/libs/experimental/langchain_experimental/autonomous_agents/baby_agi/baby_agi.py +++ b/libs/experimental/langchain_experimental/autonomous_agents/baby_agi/baby_agi.py @@ -19,7 +19,27 @@ from langchain_experimental.autonomous_agents.baby_agi.task_prioritization impor from langchain_experimental.pydantic_v1 import BaseModel, Field -class BabyAGI(Chain, BaseModel): +# This class has a metaclass conflict: both `Chain` and `BaseModel` define a metaclass +# to use, and the two metaclasses attempt to define the same functions but +# in mutually-incompatible ways. It isn't clear how to resolve this, +# and this code predates mypy beginning to perform that check. +# +# Mypy errors: +# ``` +# Definition of "__repr_str__" in base class "Representation" is +# incompatible with definition in base class "BaseModel" [misc] +# Definition of "__repr_name__" in base class "Representation" is +# incompatible with definition in base class "BaseModel" [misc] +# Definition of "__rich_repr__" in base class "Representation" is +# incompatible with definition in base class "BaseModel" [misc] +# Definition of "__pretty__" in base class "Representation" is +# incompatible with definition in base class "BaseModel" [misc] +# Metaclass conflict: the metaclass of a derived class must be +# a (non-strict) subclass of the metaclasses of all its bases [misc] +# ``` +# +# TODO: look into refactoring this class in a way that avoids the mypy type errors +class BabyAGI(Chain, BaseModel): # type: ignore[misc] """Controller model for the BabyAGI agent.""" task_list: deque = Field(default_factory=deque) diff --git a/libs/experimental/langchain_experimental/cpal/models.py b/libs/experimental/langchain_experimental/cpal/models.py index 62c41e5e14..db3de64452 100644 --- a/libs/experimental/langchain_experimental/cpal/models.py +++ b/libs/experimental/langchain_experimental/cpal/models.py @@ -139,7 +139,9 @@ class StoryModel(BaseModel): # TODO: when langchain adopts pydantic.v2 replace w/ `__post_init__` # misses hints github.com/pydantic/pydantic/issues/1729#issuecomment-1300576214 - @root_validator + # TODO: move away from `root_validator` since it is deprecated in pydantic v2 + # and causes mypy type-checking failures (hence the `type: ignore`) + @root_validator # type: ignore[call-overload] def check_intervention_is_valid(cls, values: dict) -> dict: valid_names = [e.name for e in values["causal_operations"].entities] for setting in values["intervention"].entity_settings: diff --git a/libs/experimental/langchain_experimental/llm_bash/base.py b/libs/experimental/langchain_experimental/llm_bash/base.py index 8ae1e49499..13cace9779 100644 --- a/libs/experimental/langchain_experimental/llm_bash/base.py +++ b/libs/experimental/langchain_experimental/llm_bash/base.py @@ -56,7 +56,9 @@ class LLMBashChain(Chain): values["llm_chain"] = LLMChain(llm=values["llm"], prompt=prompt) return values - @root_validator + # TODO: move away from `root_validator` since it is deprecated in pydantic v2 + # and causes mypy type-checking failures (hence the `type: ignore`) + @root_validator # type: ignore[call-overload] def validate_prompt(cls, values: Dict) -> Dict: if values["llm_chain"].prompt.output_parser is None: raise ValueError( diff --git a/libs/experimental/langchain_experimental/llms/jsonformer_decoder.py b/libs/experimental/langchain_experimental/llms/jsonformer_decoder.py index 1cb874fbe0..2e3c5d721c 100644 --- a/libs/experimental/langchain_experimental/llms/jsonformer_decoder.py +++ b/libs/experimental/langchain_experimental/llms/jsonformer_decoder.py @@ -37,7 +37,9 @@ class JsonFormer(HuggingFacePipeline): ) debug: bool = Field(default=False, description="Debug mode.") - @root_validator + # TODO: move away from `root_validator` since it is deprecated in pydantic v2 + # and causes mypy type-checking failures (hence the `type: ignore`) + @root_validator # type: ignore[call-overload] def check_jsonformer_installation(cls, values: dict) -> dict: import_jsonformer() return values diff --git a/libs/experimental/langchain_experimental/llms/rellm_decoder.py b/libs/experimental/langchain_experimental/llms/rellm_decoder.py index 09d7bf4b6b..a61b9a6c62 100644 --- a/libs/experimental/langchain_experimental/llms/rellm_decoder.py +++ b/libs/experimental/langchain_experimental/llms/rellm_decoder.py @@ -39,7 +39,9 @@ class RELLM(HuggingFacePipeline): default=200, description="Maximum number of new tokens to generate." ) - @root_validator + # TODO: move away from `root_validator` since it is deprecated in pydantic v2 + # and causes mypy type-checking failures (hence the `type: ignore`) + @root_validator # type: ignore[call-overload] def check_rellm_installation(cls, values: dict) -> dict: import_rellm() return values diff --git a/libs/experimental/langchain_experimental/pal_chain/base.py b/libs/experimental/langchain_experimental/pal_chain/base.py index 2e21740478..abadd85360 100644 --- a/libs/experimental/langchain_experimental/pal_chain/base.py +++ b/libs/experimental/langchain_experimental/pal_chain/base.py @@ -154,7 +154,13 @@ class PALChain(Chain): ) _run_manager.on_text(code, color="green", end="\n", verbose=self.verbose) PALChain.validate_code(code, self.code_validations) - repl = PythonREPL(_globals=self.python_globals, _locals=self.python_locals) + + # TODO: look into why mypy thinks PythonREPL's type here is `Any` + # and therefore not callable + repl = PythonREPL( + _globals=self.python_globals, + _locals=self.python_locals, + ) # type: ignore[misc] res = repl.run(code + f"\n{self.get_answer_expr}", timeout=self.timeout) output = {self.output_key: res.strip()} if self.return_intermediate_steps: diff --git a/libs/experimental/langchain_experimental/smart_llm/base.py b/libs/experimental/langchain_experimental/smart_llm/base.py index 69af8ab053..792b910b28 100644 --- a/libs/experimental/langchain_experimental/smart_llm/base.py +++ b/libs/experimental/langchain_experimental/smart_llm/base.py @@ -83,7 +83,9 @@ class SmartLLMChain(Chain): class Config: extra = Extra.forbid - @root_validator + # TODO: move away from `root_validator` since it is deprecated in pydantic v2 + # and causes mypy type-checking failures (hence the `type: ignore`) + @root_validator # type: ignore[call-overload] @classmethod def validate_inputs(cls, values: Dict[str, Any]) -> Dict[str, Any]: """Ensure we have an LLM for each step.""" diff --git a/libs/experimental/poetry.lock b/libs/experimental/poetry.lock index ca8c5456ea..c0f4f3e05c 100644 --- a/libs/experimental/poetry.lock +++ b/libs/experimental/poetry.lock @@ -1,99 +1,99 @@ -# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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