from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import GenInferencer
from opencompass.datasets import GSM8KDataset, gsm8k_postprocess, gsm8k_dataset_postprocess, Gsm8kEvaluator
from opencompass.datasets import MATHEvaluator, math_postprocess_v2

gsm8k_reader_cfg = dict(input_columns=['question'], output_column='answer')

gsm8k_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template=dict(
            round=[
                dict(role='HUMAN', prompt='{question}\nPlease provide only the final answer, without including any intermediate reasoning steps, and put your final answer within \\boxed{}.'),
            ],
        ),
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer, max_out_len=512),
)

gsm8k_eval_cfg = dict(
    evaluator=dict(type=MATHEvaluator, version='v2'),
    pred_postprocessor=dict(type=math_postprocess_v2),
    dataset_postprocessor=dict(type=gsm8k_dataset_postprocess),
)

gsm8k_datasets = [
    dict(
        abbr='gsm8k',
        type=GSM8KDataset,
        path='opencompass/gsm8k',
        reader_cfg=gsm8k_reader_cfg,
        infer_cfg=gsm8k_infer_cfg,
        eval_cfg=gsm8k_eval_cfg,
    )
]