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'
        f' following 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"
        f' opinion 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"
        f' topic: "{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"
        f' question or topic: "{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"
        f' question or 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."
        f" This should include the definitionof {concept}, its historical"
        " background and development, its applications or uses in"
        f" differentfields, and notable events 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]
