import os
from pathlib import Path
from dingo.model import Model
from dingo.model.llm.base_openai import BaseOpenAI
# 获取项目根目录
PROJECT_ROOT = Path(__file__).parent.parent.parent
OPENAI_MODEL = os.getenv("OPENAI_MODEL", "deepseek-chat")
OPENAI_URL = os.getenv("OPENAI_BASE_URL", "https://api.deepseek.com/v1")
OPENAI_KEY = os.getenv("OPENAI_API_KEY", "")
common_config = {
"model": OPENAI_MODEL,
"key": OPENAI_KEY,
"api_url": OPENAI_URL,
}
@Model.llm_register('LlmTextQualityRegister')
class LlmTextQualityRegister(BaseOpenAI):
prompt = """
请判断一下文本是否存在重复问题。
返回一个json，如{"score": 0, reason": "xxx"}.
如果存在重复，score是0，否则是1。当score是0时，type是REPEAT。reason是判断的依据。
除了json不要有其他内容。
以下是需要判断的文本：
"""
if __name__ == '__main__':
from dingo.config import InputArgs
from dingo.exec import Executor
input_data = {
"input_path": str(PROJECT_ROOT / "test/data/test_local_jsonl.jsonl"),
"dataset": {
"source": "local",
"format": "jsonl",
},
"executor": {
"result_save": {
"bad": True,
"good": True
}
},
"evaluator": [
{
"fields": {"content": "content"},
"evals": [
{"name": "LlmTextQualityRegister", "config": common_config}
]
}
]
}
input_args = InputArgs(**input_data)
executor = Executor.exec_map["local"](input_args)
result = executor.execute()
print(result)
