"""Main entrypoint into package."""

import warnings
from importlib import metadata
from typing import Any

from langchain_core._api.deprecation import surface_langchain_deprecation_warnings

try:
    __version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
    # Case where package metadata is not available.
    __version__ = ""
del metadata  # optional, avoids polluting the results of dir(__package__)


def _warn_on_import(name: str, replacement: str | None = None) -> None:
    """Warn on import of deprecated module."""
    from langchain_classic._api.interactive_env import is_interactive_env

    if is_interactive_env():
        # No warnings for interactive environments.
        # This is done to avoid polluting the output of interactive environments
        # where users rely on auto-complete and may trigger this warning
        # even if they are not using any deprecated modules
        return

    if replacement:
        warnings.warn(
            f"Importing {name} from langchain root module is no longer supported. "
            f"Please use {replacement} instead.",
            stacklevel=3,
        )
    else:
        warnings.warn(
            f"Importing {name} from langchain root module is no longer supported.",
            stacklevel=3,
        )


# Surfaces Deprecation and Pending Deprecation warnings from langchain_classic.
surface_langchain_deprecation_warnings()


def __getattr__(name: str) -> Any:
    if name == "MRKLChain":
        from langchain_classic.agents import MRKLChain

        _warn_on_import(name, replacement="langchain_classic.agents.MRKLChain")

        return MRKLChain
    if name == "ReActChain":
        from langchain_classic.agents import ReActChain

        _warn_on_import(name, replacement="langchain_classic.agents.ReActChain")

        return ReActChain
    if name == "SelfAskWithSearchChain":
        from langchain_classic.agents import SelfAskWithSearchChain

        _warn_on_import(
            name, replacement="langchain_classic.agents.SelfAskWithSearchChain"
        )

        return SelfAskWithSearchChain
    if name == "ConversationChain":
        from langchain_classic.chains import ConversationChain

        _warn_on_import(name, replacement="langchain_classic.chains.ConversationChain")

        return ConversationChain
    if name == "LLMBashChain":
        msg = (
            "This module has been moved to langchain-experimental. "
            "For more details: "
            "https://github.com/langchain-ai/langchain/discussions/11352."
            "To access this code, install it with `pip install langchain-experimental`."
            "`from langchain_experimental.llm_bash.base "
            "import LLMBashChain`"
        )
        raise ImportError(msg)

    if name == "LLMChain":
        from langchain_classic.chains import LLMChain

        _warn_on_import(name, replacement="langchain_classic.chains.LLMChain")

        return LLMChain
    if name == "LLMCheckerChain":
        from langchain_classic.chains import LLMCheckerChain

        _warn_on_import(name, replacement="langchain_classic.chains.LLMCheckerChain")

        return LLMCheckerChain
    if name == "LLMMathChain":
        from langchain_classic.chains import LLMMathChain

        _warn_on_import(name, replacement="langchain_classic.chains.LLMMathChain")

        return LLMMathChain
    if name == "QAWithSourcesChain":
        from langchain_classic.chains import QAWithSourcesChain

        _warn_on_import(name, replacement="langchain_classic.chains.QAWithSourcesChain")

        return QAWithSourcesChain
    if name == "VectorDBQA":
        from langchain_classic.chains import VectorDBQA

        _warn_on_import(name, replacement="langchain_classic.chains.VectorDBQA")

        return VectorDBQA
    if name == "VectorDBQAWithSourcesChain":
        from langchain_classic.chains import VectorDBQAWithSourcesChain

        _warn_on_import(
            name, replacement="langchain_classic.chains.VectorDBQAWithSourcesChain"
        )

        return VectorDBQAWithSourcesChain
    if name == "InMemoryDocstore":
        from langchain_community.docstore import InMemoryDocstore

        _warn_on_import(name, replacement="langchain_classic.docstore.InMemoryDocstore")

        return InMemoryDocstore
    if name == "Wikipedia":
        from langchain_community.docstore import Wikipedia

        _warn_on_import(name, replacement="langchain_classic.docstore.Wikipedia")

        return Wikipedia
    if name == "Anthropic":
        from langchain_community.llms import Anthropic

        _warn_on_import(name, replacement="langchain_community.llms.Anthropic")

        return Anthropic
    if name == "Banana":
        from langchain_community.llms import Banana

        _warn_on_import(name, replacement="langchain_community.llms.Banana")

        return Banana
    if name == "CerebriumAI":
        from langchain_community.llms import CerebriumAI

        _warn_on_import(name, replacement="langchain_community.llms.CerebriumAI")

        return CerebriumAI
    if name == "Cohere":
        from langchain_community.llms import Cohere

        _warn_on_import(name, replacement="langchain_community.llms.Cohere")

        return Cohere
    if name == "ForefrontAI":
        from langchain_community.llms import ForefrontAI

        _warn_on_import(name, replacement="langchain_community.llms.ForefrontAI")

        return ForefrontAI
    if name == "GooseAI":
        from langchain_community.llms import GooseAI

        _warn_on_import(name, replacement="langchain_community.llms.GooseAI")

        return GooseAI
    if name == "HuggingFaceHub":
        from langchain_community.llms import HuggingFaceHub

        _warn_on_import(name, replacement="langchain_community.llms.HuggingFaceHub")

        return HuggingFaceHub
    if name == "HuggingFaceTextGenInference":
        from langchain_community.llms import HuggingFaceTextGenInference

        _warn_on_import(
            name,
            replacement="langchain_community.llms.HuggingFaceTextGenInference",
        )

        return HuggingFaceTextGenInference
    if name == "LlamaCpp":
        from langchain_community.llms import LlamaCpp

        _warn_on_import(name, replacement="langchain_community.llms.LlamaCpp")

        return LlamaCpp
    if name == "Modal":
        from langchain_community.llms import Modal

        _warn_on_import(name, replacement="langchain_community.llms.Modal")

        return Modal
    if name == "OpenAI":
        from langchain_community.llms import OpenAI

        _warn_on_import(name, replacement="langchain_community.llms.OpenAI")

        return OpenAI
    if name == "Petals":
        from langchain_community.llms import Petals

        _warn_on_import(name, replacement="langchain_community.llms.Petals")

        return Petals
    if name == "PipelineAI":
        from langchain_community.llms import PipelineAI

        _warn_on_import(name, replacement="langchain_community.llms.PipelineAI")

        return PipelineAI
    if name == "SagemakerEndpoint":
        from langchain_community.llms import SagemakerEndpoint

        _warn_on_import(name, replacement="langchain_community.llms.SagemakerEndpoint")

        return SagemakerEndpoint
    if name == "StochasticAI":
        from langchain_community.llms import StochasticAI

        _warn_on_import(name, replacement="langchain_community.llms.StochasticAI")

        return StochasticAI
    if name == "Writer":
        from langchain_community.llms import Writer

        _warn_on_import(name, replacement="langchain_community.llms.Writer")

        return Writer
    if name == "HuggingFacePipeline":
        from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline

        _warn_on_import(
            name,
            replacement="langchain_community.llms.huggingface_pipeline.HuggingFacePipeline",
        )

        return HuggingFacePipeline
    if name == "FewShotPromptTemplate":
        from langchain_core.prompts import FewShotPromptTemplate

        _warn_on_import(
            name,
            replacement="langchain_core.prompts.FewShotPromptTemplate",
        )

        return FewShotPromptTemplate
    if name == "Prompt":
        from langchain_core.prompts import PromptTemplate

        _warn_on_import(name, replacement="langchain_core.prompts.PromptTemplate")

        # it's renamed as prompt template anyways
        # this is just for backwards compat
        return PromptTemplate
    if name == "PromptTemplate":
        from langchain_core.prompts import PromptTemplate

        _warn_on_import(name, replacement="langchain_core.prompts.PromptTemplate")

        return PromptTemplate
    if name == "BasePromptTemplate":
        from langchain_core.prompts import BasePromptTemplate

        _warn_on_import(name, replacement="langchain_core.prompts.BasePromptTemplate")

        return BasePromptTemplate
    if name == "ArxivAPIWrapper":
        from langchain_community.utilities import ArxivAPIWrapper

        _warn_on_import(
            name,
            replacement="langchain_community.utilities.ArxivAPIWrapper",
        )

        return ArxivAPIWrapper
    if name == "GoldenQueryAPIWrapper":
        from langchain_community.utilities import GoldenQueryAPIWrapper

        _warn_on_import(
            name,
            replacement="langchain_community.utilities.GoldenQueryAPIWrapper",
        )

        return GoldenQueryAPIWrapper
    if name == "GoogleSearchAPIWrapper":
        from langchain_community.utilities import GoogleSearchAPIWrapper

        _warn_on_import(
            name,
            replacement="langchain_community.utilities.GoogleSearchAPIWrapper",
        )

        return GoogleSearchAPIWrapper
    if name == "GoogleSerperAPIWrapper":
        from langchain_community.utilities import GoogleSerperAPIWrapper

        _warn_on_import(
            name,
            replacement="langchain_community.utilities.GoogleSerperAPIWrapper",
        )

        return GoogleSerperAPIWrapper
    if name == "PowerBIDataset":
        from langchain_community.utilities import PowerBIDataset

        _warn_on_import(
            name,
            replacement="langchain_community.utilities.PowerBIDataset",
        )

        return PowerBIDataset
    if name == "SearxSearchWrapper":
        from langchain_community.utilities import SearxSearchWrapper

        _warn_on_import(
            name,
            replacement="langchain_community.utilities.SearxSearchWrapper",
        )

        return SearxSearchWrapper
    if name == "WikipediaAPIWrapper":
        from langchain_community.utilities import WikipediaAPIWrapper

        _warn_on_import(
            name,
            replacement="langchain_community.utilities.WikipediaAPIWrapper",
        )

        return WikipediaAPIWrapper
    if name == "WolframAlphaAPIWrapper":
        from langchain_community.utilities import WolframAlphaAPIWrapper

        _warn_on_import(
            name,
            replacement="langchain_community.utilities.WolframAlphaAPIWrapper",
        )

        return WolframAlphaAPIWrapper
    if name == "SQLDatabase":
        from langchain_community.utilities import SQLDatabase

        _warn_on_import(name, replacement="langchain_community.utilities.SQLDatabase")

        return SQLDatabase
    if name == "FAISS":
        from langchain_community.vectorstores import FAISS

        _warn_on_import(name, replacement="langchain_community.vectorstores.FAISS")

        return FAISS
    if name == "ElasticVectorSearch":
        from langchain_community.vectorstores import ElasticVectorSearch

        _warn_on_import(
            name,
            replacement="langchain_community.vectorstores.ElasticVectorSearch",
        )

        return ElasticVectorSearch
    # For backwards compatibility
    if name in {"SerpAPIChain", "SerpAPIWrapper"}:
        from langchain_community.utilities import SerpAPIWrapper

        _warn_on_import(
            name,
            replacement="langchain_community.utilities.SerpAPIWrapper",
        )

        return SerpAPIWrapper
    msg = f"Could not find: {name}"
    raise AttributeError(msg)


__all__ = [
    "FAISS",
    "Anthropic",
    "ArxivAPIWrapper",
    "Banana",
    "BasePromptTemplate",
    "CerebriumAI",
    "Cohere",
    "ConversationChain",
    "ElasticVectorSearch",
    "FewShotPromptTemplate",
    "ForefrontAI",
    "GoldenQueryAPIWrapper",
    "GoogleSearchAPIWrapper",
    "GoogleSerperAPIWrapper",
    "GooseAI",
    "HuggingFaceHub",
    "HuggingFacePipeline",
    "HuggingFaceTextGenInference",
    "InMemoryDocstore",
    "LLMChain",
    "LLMCheckerChain",
    "LLMMathChain",
    "LlamaCpp",
    "MRKLChain",
    "Modal",
    "OpenAI",
    "Petals",
    "PipelineAI",
    "PowerBIDataset",
    "Prompt",
    "PromptTemplate",
    "QAWithSourcesChain",
    "ReActChain",
    "SQLDatabase",
    "SagemakerEndpoint",
    "SearxSearchWrapper",
    "SelfAskWithSearchChain",
    "SerpAPIChain",
    "SerpAPIWrapper",
    "StochasticAI",
    "VectorDBQA",
    "VectorDBQAWithSourcesChain",
    "Wikipedia",
    "WikipediaAPIWrapper",
    "WolframAlphaAPIWrapper",
    "Writer",
]