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40 lines
1.8 KiB
Python
40 lines
1.8 KiB
Python
from enum import Enum
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from typing import List, Optional
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from dbgpt._private.pydantic import BaseModel, Field
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from ..config import SERVE_APP_NAME_HUMP
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class EvaluationScene(Enum):
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RECALL = "recall"
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APP = "app"
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class EvaluateServeRequest(BaseModel):
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evaluate_code: Optional[str] = Field(None, description="evaluation code")
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scene_key: Optional[str] = Field(None, description="evaluation scene key")
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scene_value: Optional[str] = Field(None, description="evaluation scene value")
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datasets_name: Optional[str] = Field(None, description="evaluation datasets name")
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datasets: Optional[List[dict]] = Field(None, description="datasets")
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evaluate_metrics: Optional[List[str]] = Field(
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None, description="evaluation metrics"
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)
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context: Optional[dict] = Field(None, description="The context of the evaluate")
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user_name: Optional[str] = Field(None, description="user name")
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user_id: Optional[str] = Field(None, description="user id")
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sys_code: Optional[str] = Field(None, description="system code")
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parallel_num: Optional[int] = Field(None, description="system code")
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state: Optional[str] = Field(None, description="evaluation state")
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result: Optional[str] = Field(None, description="evaluation result")
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storage_type: Optional[str] = Field(None, comment="datasets storage type")
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average_score: Optional[str] = Field(None, description="evaluation average score")
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log_info: Optional[str] = Field(None, description="evaluation log_info")
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gmt_create: Optional[str] = Field(None, description="create time")
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gmt_modified: Optional[str] = Field(None, description="create time")
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class EvaluateServeResponse(EvaluateServeRequest):
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class Config:
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title = f"EvaluateServeResponse for {SERVE_APP_NAME_HUMP}"
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