"""
Simple agent to analyse a markdown, just to test some ideas.
"""

from enum import Enum

from mistralai import OCRResponse
from smolagents import CodeAgent, LiteLLMModel

from deepengineer.webcrawler.pdf_utils import (
    convert_ocr_response_to_markdown,
    find_in_markdown,
    get_markdown_by_page_numbers,
    get_table_of_contents_per_page_markdown,
)
from deepengineer.logging_tools import LoggingTool


class ToolNames(Enum):
    GET_TABLE_OF_CONTENTS = "get_table_of_contents"
    GET_MARKDOWN = "get_markdown"
    GET_PAGES_CONTENT = "get_pages_content"
    FIND_IN_MARKDOWN = "find_in_markdown"


class GetTableOfContentsTool(LoggingTool):
    name = ToolNames.GET_TABLE_OF_CONTENTS.value
    description = "Returns all of the titles in the document along with the page number they are on."
    inputs = {}
    output_type = "string"

    def __init__(self, markdown: OCRResponse):
        super().__init__()
        self.markdown: OCRResponse = markdown
        self.table_of_contents: str = get_table_of_contents_per_page_markdown(
            self.markdown
        )

    def forward(self) -> str:
        return self.table_of_contents


class GetMarkdownTool(LoggingTool):
    name = ToolNames.GET_MARKDOWN.value
    description = f"Returns the markdown entire content of the document. Beware this might be too long to be useful, except for small documents, use {ToolNames.GET_PAGES_CONTENT.value} instead. You can use {ToolNames.GET_TABLE_OF_CONTENTS.value} to get the table of contents of the document including the number of pages."
    inputs = {}
    output_type = "string"

    def __init__(self, markdown: OCRResponse):
        super().__init__()
        self.markdown: OCRResponse = markdown
        self.markdown_content: str = convert_ocr_response_to_markdown(self.markdown)

    def forward(self) -> str:
        return self.markdown_content


class GetPagesContentTool(LoggingTool):
    name = ToolNames.GET_PAGES_CONTENT.value
    description = f"Returns the content of the pages. You can use {ToolNames.GET_TABLE_OF_CONTENTS.value} to get the table of contents of the document including the number of pages. Expects a list of page numbers as integers as input."
    inputs = {
        "page_numbers": {
            "type": "array",
            "description": "The page numbers to get the content of.",
        },
    }
    output_type = "string"

    def __init__(self, markdown: OCRResponse):
        super().__init__()
        self.markdown: OCRResponse = markdown

    def forward(self, page_numbers: list[int]) -> str:
        return get_markdown_by_page_numbers(self.markdown, page_numbers)


class FindInMarkdownTool(LoggingTool):
    name = ToolNames.FIND_IN_MARKDOWN.value
    description = f"Finds the page numbers of the document that contain the search queries. If you are looking for a specific information, you can use this tool to find the page numbers of the document that contain the information and then use {ToolNames.GET_PAGES_CONTENT.value} to get the content of the pages."
    inputs = {
        "search_queries": {
            "type": "array",
            "description": "The search queries to find in the document. List of strings.",
        }
    }
    output_type = "array"

    def __init__(self, markdown: OCRResponse):
        super().__init__()
        self.markdown: OCRResponse = markdown

    def forward(self, search_queries: list[str]) -> list[int]:
        return find_in_markdown(self.markdown, search_queries)


def create_agent(markdown: OCRResponse, model_id="deepseek/deepseek-chat"):
    """This agent is just a test and will not be used as is by the main agent."""

    model = LiteLLMModel(model_id=model_id)

    MARKDOWN_TOOLS = [
        GetTableOfContentsTool(markdown),
        GetMarkdownTool(markdown),
        GetPagesContentTool(markdown),
        FindInMarkdownTool(markdown),
    ]
    markdown_agent = CodeAgent(
        model=model,
        tools=MARKDOWN_TOOLS,
        max_steps=20,
        verbosity_level=2,
        planning_interval=4,
        name="markdown_agent",
        description="""A team member that can analyse a markdown.""",
    )
    markdown_agent.prompt_templates["managed_agent"][
        "task"
    ] += """You can navigate to .txt online files."""

    return markdown_agent