from lm_eval import utils
from lm_eval.logger import eval_logger

# Prompt library.
# Stores prompts in a dictionary indexed by 2 levels:
# prompt category name, and prompt name.
# This allows us to access prompts
PROMPT_REGISTRY = {
    "qa-basic": {
        "question-newline-answer": "Question: {{question}}\nAnswer:",
        "q-newline-a": "Q: {{question}}\nA:",
    },
}


def get_prompt(prompt_id: str, dataset_name=None, subset_name=None):
    # unpack prompt name
    category_name, prompt_name = prompt_id.split(":")
    if subset_name is None:
        dataset_full_name = dataset_name
    else:
        dataset_full_name = f"{dataset_name}-{subset_name}"
    eval_logger.info(f"Loading prompt from {category_name} for {dataset_full_name}")
    if category_name == "promptsource":
        try:
            from promptsource.templates import DatasetTemplates
        except ModuleNotFoundError:
            raise Exception(
                "Tried to load a Promptsource template, but promptsource is not installed ",
                "please install promptsource via pip install lm-eval[promptsource] or pip install -e .[promptsource]",
            )
        try:
            if subset_name is None:
                prompts = DatasetTemplates(dataset_name=dataset_name)
            else:
                prompts = DatasetTemplates(
                    dataset_name=dataset_name, subset_name=subset_name
                )
        except Exception:
            raise ValueError(f"{dataset_name} and {subset_name} not found")
        if prompt_name in prompts.all_template_names:
            return prompts[prompt_name]
        else:
            raise ValueError(
                f"{prompt_name} not in prompt list {prompts.all_template_names}"
            )
    else:
        try:
            return PROMPT_REGISTRY[category_name][prompt_name]
        except Exception:
            raise ValueError(
                f"expected only a single `:` as separator between \
                prompt category and name, but got `{prompt_id}` instead"
            )


def load_prompt_list(use_prompt: str, dataset_name=None, subset_name=None, **kwargs):

    from promptsource.templates import DatasetTemplates

    if subset_name is None:
        prompts = DatasetTemplates(dataset_name=dataset_name)
    else:
        prompts = DatasetTemplates(dataset_name=dataset_name, subset_name=subset_name)

    category_name, prompt_name = use_prompt.split(":")
    prompt_list = utils.pattern_match(prompt_name, prompts.all_template_names)
    return [":".join([category_name, prompt]) for prompt in prompt_list]
