from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import AgentInferencer

from opencompass.datasets import CIBenchTemplateDataset, CIBenchEvaluator

cibench_reader_cfg = dict(
    input_columns=["questions"],
    output_column="references",
    train_split='test',
    test_split='test')

cibench_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template="""{questions}""",
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=AgentInferencer, infer_mode='every'),
)

# no tensorboard
libs = ['/lightgbm', '/matplotlib', '/nltk', '/opencv', '/pandas', '/pytorch',
    '/scipy', '/seaborn', '/sklearn', '/tensorflow',
    '_chinese/lightgbm', '_chinese/matplotlib', '_chinese/nltk',
    '_chinese/opencv', '_chinese/pandas', '_chinese/pytorch',
    '_chinese/scipy', '_chinese/seaborn', '_chinese/sklearn', '_chinese/tensorflow']
cibench_eval_cfg = dict(evaluator=dict(type=CIBenchEvaluator), pred_role="BOT")

cibench_datasets = [
    dict(
        abbr=f"cibench_template{lib}",
        type=CIBenchTemplateDataset,
        path=f"./data/cibench_dataset/cibench_template{lib}",
        internet_check=False,
        reader_cfg=cibench_reader_cfg,
        infer_cfg=cibench_infer_cfg,
        eval_cfg=cibench_eval_cfg,
    ) for lib in libs
]
