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 HumanevalXDataset, HumanevalXEvaluator

humanevalx_reader_cfg = dict(
    input_columns=['prompt'], output_column='declaration', train_split='test')

humanevalx_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template='{prompt}'),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer))

humanevalx_eval_cfg_dict = {
    lang : dict(
        evaluator=dict(
            type=HumanevalXEvaluator,
            language=lang,
            ip_address=
            'localhost',  # replace to your code_eval_server ip_address, port
            port=5001),  # refer to https://opencompass.readthedocs.io/en/latest/advanced_guides/code_eval_service.html to launch a server
        pred_role='BOT')
    for lang in ['python', 'cpp', 'go', 'java', 'js']   # do not support rust now
}

# Please download the needed `xx.jsonl.gz` from
# https://github.com/THUDM/CodeGeeX2/tree/main/benchmark/humanevalx
# and move them into `data/humanevalx/` folder
humanevalx_datasets = [
    dict(
        type=HumanevalXDataset,
        abbr=f'humanevalx-{lang}',
        language=lang,
        path='./data/humanevalx',
        reader_cfg=humanevalx_reader_cfg,
        infer_cfg=humanevalx_infer_cfg,
        eval_cfg=humanevalx_eval_cfg_dict[lang],
        n=5,
        k=3)
    for lang in ['python', 'cpp', 'go', 'java', 'js']
]
