from typing import Union

from langchain_core.agents import AgentAction, AgentFinish

from langchain.agents import AgentOutputParser


class XMLAgentOutputParser(AgentOutputParser):
    """Parses tool invocations and final answers in XML format.

    Expects output to be in one of two formats.

    If the output signals that an action should be taken,
    should be in the below format. This will result in an AgentAction
    being returned.

    ```
    <tool>search</tool>
    <tool_input>what is 2 + 2</tool_input>
    ```

    If the output signals that a final answer should be given,
    should be in the below format. This will result in an AgentFinish
    being returned.

    ```
    <final_answer>Foo</final_answer>
    ```
    """

    def parse(self, text: str) -> Union[AgentAction, AgentFinish]:
        if "</tool>" in text:
            tool, tool_input = text.split("</tool>")
            _tool = tool.split("<tool>")[1]
            _tool_input = tool_input.split("<tool_input>")[1]
            if "</tool_input>" in _tool_input:
                _tool_input = _tool_input.split("</tool_input>")[0]
            return AgentAction(tool=_tool, tool_input=_tool_input, log=text)
        elif "<final_answer>" in text:
            _, answer = text.split("<final_answer>")
            if "</final_answer>" in answer:
                answer = answer.split("</final_answer>")[0]
            return AgentFinish(return_values={"output": answer}, log=text)
        else:
            raise ValueError

    def get_format_instructions(self) -> str:
        raise NotImplementedError

    @property
    def _type(self) -> str:
        return "xml-agent"