from opencompass.datasets import WildBenchDataset
from opencompass.openicl.icl_evaluator import LMEvaluator
from opencompass.openicl.icl_inferencer import ChatInferencer
from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever

hu_life_qa_reader_cfg = dict(
    input_columns=['dialogue', 'prompt'],
    output_column='judge',
)

data_path ='/mnt/hwfile/opendatalab/yanghaote/share/HuLifeQA_20250131.jsonl'

hu_life_qa_datasets = []
hu_life_qa_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template="""{dialogue}"""
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(
        type=ChatInferencer,
        max_seq_len=4096,
        max_out_len=2048,
        infer_mode='last',
    ),
)

hu_life_qa_eval_cfg = dict(
    evaluator=dict(
        type=LMEvaluator,
        prompt_template=dict(
            type=PromptTemplate, 
            template="""{prompt}"""
        ),
    ),
    pred_role='BOT',
)

hu_life_qa_datasets.append(
    dict(
        abbr='open_hu_eval_hu_life_qa',
        type=WildBenchDataset,
        path=data_path,
        reader_cfg=hu_life_qa_reader_cfg,
        infer_cfg=hu_life_qa_infer_cfg,
        eval_cfg=hu_life_qa_eval_cfg,
    )
)

task_group_new = {
    'life_culture_custom': 'life_culture_custom',
    'childbearing and education': 'life_culture_custom',
    'culture and community': 'life_culture_custom',
    'culture and customs': 'life_culture_custom',
    'food and drink': 'life_culture_custom',
    'health': 'life_culture_custom',
    'holidays': 'life_culture_custom',
    'home': 'life_culture_custom',
    'person': 'life_culture_custom',
    'transport': 'life_culture_custom',
    'science': 'life_culture_custom',
    'travel': 'life_culture_custom',
    'business_finance': 'business_finance',
    'business and finance': 'business_finance',
    'education_profession': 'education_profession',
    'public education and courses': 'education_profession',
    'politics_policy_law': 'politics_policy_law',
    'politics': 'politics_policy_law',
}