def generate_agent_role_prompt(agent):
    """Generates the agent role prompt.
    Args: agent (str): The type of the agent.
    Returns: str: The agent role prompt.
    """
    prompts = {
        "Finance Agent": (
            "You are a seasoned finance analyst AI assistant. Your primary goal is to"
            " compose comprehensive, astute, impartial, and methodically arranged"
            " financial reports based on provided data and trends."
        ),
        "Travel Agent": (
            "You are a world-travelled AI tour guide assistant. Your main purpose is to"
            " draft engaging, insightful, unbiased, and well-structured travel reports"
            " on given locations, including history, attractions, and cultural"
            " insights."
        ),
        "Academic Research Agent": (
            "You are an AI academic research assistant. Your primary responsibility is"
            " to create thorough, academically rigorous, unbiased, and systematically"
            " organized reports on a given research topic, following the standards of"
            " scholarly work."
        ),
        "Default Agent": (
            "You are an AI critical thinker research assistant. Your sole purpose is to"
            " write well written, critically acclaimed, objective and structured"
            " reports on given text."
        ),
    }

    return prompts.get(agent, "No such agent")


def generate_report_prompt(question, research_summary):
    """Generates the report prompt for the given question and research summary.
    Args: question (str): The question to generate the report prompt for
            research_summary (str): The research summary to generate the report prompt for
    Returns: str: The report prompt for the given question and research summary
    """

    return (
        f'"""{research_summary}""" Using the above information, answer the following'
        f' question or topic: "{question}" in a detailed report -- The report should'
        " focus on the answer to the question, should be well structured, informative,"
        " in depth, with facts and numbers if available, a minimum of 1,200 words and"
        " with markdown syntax and apa format. Write all source urls at the end of the"
        " report in apa format"
    )


def generate_search_queries_prompt(question):
    """Generates the search queries prompt for the given question.
    Args: question (str): The question to generate the search queries prompt for
    Returns: str: The search queries prompt for the given question
    """

    return (
        "Write 4 google search queries to search online that form an objective opinion"
        f' from the following: "{question}"You must respond with a list of strings in'
        ' the following format: ["query 1", "query 2", "query 3", "query 4"]'
    )


def generate_resource_report_prompt(question, research_summary):
    """Generates the resource report prompt for the given question and research summary.

    Args:
        question (str): The question to generate the resource report prompt for.
        research_summary (str): The research summary to generate the resource report prompt for.

    Returns:
        str: The resource report prompt for the given question and research summary.
    """
    return (
        f'"""{research_summary}""" Based on the above information, generate a'
        " bibliography recommendation report for the following question or topic:"
        f' "{question}". The report should provide a detailed analysis of each'
        " recommended resource, explaining how each source can contribute to finding"
        " answers to the research question. Focus on the relevance, reliability, and"
        " significance of each source. Ensure that the report is well-structured,"
        " informative, in-depth, and follows Markdown syntax. Include relevant facts,"
        " figures, and numbers whenever available. The report should have a minimum"
        " length of 1,200 words."
    )


def generate_outline_report_prompt(question, research_summary):
    """Generates the outline report prompt for the given question and research summary.
    Args: question (str): The question to generate the outline report prompt for
            research_summary (str): The research summary to generate the outline report prompt for
    Returns: str: The outline report prompt for the given question and research summary
    """

    return (
        f'"""{research_summary}""" Using the above information, generate an outline for'
        " a research report in Markdown syntax for the following question or topic:"
        f' "{question}". The outline should provide a well-structured framework for the'
        " research report, including the main sections, subsections, and key points to"
        " be covered. The research report should be detailed, informative, in-depth,"
        " and a minimum of 1,200 words. Use appropriate Markdown syntax to format the"
        " outline and ensure readability."
    )


def generate_concepts_prompt(question, research_summary):
    """Generates the concepts prompt for the given question.
    Args: question (str): The question to generate the concepts prompt for
            research_summary (str): The research summary to generate the concepts prompt for
    Returns: str: The concepts prompt for the given question
    """

    return (
        f'"""{research_summary}""" Using the above information, generate a list of 5'
        " main concepts to learn for a research report on the following question or"
        f' topic: "{question}". The outline should provide a well-structured'
        " frameworkYou must respond with a list of strings in the following format:"
        ' ["concepts 1", "concepts 2", "concepts 3", "concepts 4, concepts 5"]'
    )


def generate_lesson_prompt(concept):
    """
    Generates the lesson prompt for the given question.
    Args:
        concept (str): The concept to generate the lesson prompt for.
    Returns:
        str: The lesson prompt for the given concept.
    """

    prompt = (
        f"generate a comprehensive lesson about {concept} in Markdown syntax. This"
        f" should include the definitionof {concept}, its historical background and"
        " development, its applications or uses in differentfields, and notable events"
        f" or facts related to {concept}."
    )

    return prompt


def get_report_by_type(report_type):
    report_type_mapping = {
        "research_report": generate_report_prompt,
        "resource_report": generate_resource_report_prompt,
        "outline_report": generate_outline_report_prompt,
    }
    return report_type_mapping[report_type]
