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| from pydantic import BaseModel, Field | |
| from typing import List | |
| class Test(BaseModel): | |
| question: str = Field(min_length=1, max_length=100, description="Question you want to test") | |
| document: str = Field(min_length=1, description="Document name") | |
| chunk_index: int = Field(default=0, min=0, description="Chunk index") | |
| class TestRequestSchema(BaseModel): | |
| tests: List[Test] = Field(min_length=1, description="give tests to evalute") | |
| k: int = Field(default=5, min=0, max=20, description="maximum number of results") | |
| threshold: float = Field(default= 0.4, min=0.0, max=1.0, description="Threshold for reference") | |
| class TestResponse(BaseModel): | |
| tests: Test | |
| answer: bool | |
| class TestResponseSchema(BaseModel): | |
| tests: List[TestResponse] = Field(min_length=1, description="test results") | |
| class TestClassifier(BaseModel): | |
| question: str = Field(min_length=1, description="Question you want to test") | |
| type: str = Field(min_length=1, description="Type to be predicted") | |
| category: str = Field(min_length=1, description="Category to be predicted") | |
| topic: str = Field(min_length=1, description="Topic to be predicted") | |
| intent: str = Field(min_length=1, description="Intent to be predicted") | |
| class TestClassifierReqSchema(BaseModel): | |
| tests: List[TestClassifier] = Field(min_length=1, description="give tests to evalute") |