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 (
        f'Write 4 google search queries to search online that form an objective opinion from the following: "{question}"'
        f'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'
        f' question or 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'
        f' for the following 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'
        f' on the following question or topic: "{question}". The outline should provide a well-structured framework'
        'You 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 should include the definition"
        f"of {concept}, its historical background and development, its applications or uses in different"
        f"fields, 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]
