60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
"""
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Pydantic schemas for Data Recipe (DataDesigner) API.
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"""
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from __future__ import annotations
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from typing import Any
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from pydantic import BaseModel, Field
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class RecipePayload(BaseModel):
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recipe: dict[str, Any] = Field(default_factory=dict)
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run: dict[str, Any] | None = None
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ui: dict[str, Any] | None = None
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class PreviewResponse(BaseModel):
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dataset: list[dict[str, Any]] = Field(default_factory=list)
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processor_artifacts: dict[str, Any] | None = None
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analysis: dict[str, Any] | None = None
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class ValidateError(BaseModel):
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message: str
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path: str | None = None
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code: str | None = None
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class ValidateResponse(BaseModel):
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valid: bool
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errors: list[ValidateError] = Field(default_factory=list)
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raw_detail: str | None = None
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class JobCreateResponse(BaseModel):
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job_id: str
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class SeedInspectRequest(BaseModel):
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dataset_name: str = Field(min_length=1)
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hf_token: str | None = None
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subset: str | None = None
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split: str | None = "train"
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preview_size: int = Field(default=10, ge=1, le=50)
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class SeedInspectUploadRequest(BaseModel):
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filename: str = Field(min_length=1)
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content_base64: str = Field(min_length=1)
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preview_size: int = Field(default=10, ge=1, le=50)
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class SeedInspectResponse(BaseModel):
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dataset_name: str
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resolved_path: str
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columns: list[str] = Field(default_factory=list)
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preview_rows: list[dict[str, Any]] = Field(default_factory=list)
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split: str | None = None
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subset: str | None = None
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