import os
from pathlib import Path
from dingo.config import InputArgs
from dingo.exec import Executor
# 获取项目根目录
PROJECT_ROOT = Path(__file__).parent.parent.parent
if __name__ == '__main__':
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", "")
input_data = {
"input_path": str(PROJECT_ROOT / "test/data/test_document_OCR_recognize.jsonl"),
"dataset": {
"source": "local",
"format": "jsonl",
},
"executor": {
"result_save": {
"bad": True,
"good": True
}
},
"evaluator": [
{
"fields": {"id": "id", "content": "pred_content", "prompt": "gt_markdown"},
"evals": [
{"name": "LLMMinerURecognizeQuality", "config": {"key": OPENAI_KEY, "api_url": OPENAI_URL, "model": OPENAI_MODEL}},
]
}
]
}
input_args = InputArgs(**input_data)
executor = Executor.exec_map["local"](input_args)
result = executor.execute()
print(result)
