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| from __future__ import annotations | |
| from typing import Any, Dict, List, Optional | |
| from pydantic import BaseModel, Field | |
| class DatasetSnapshot(BaseModel): | |
| row_count: int | |
| column_count: int | |
| missing_cells: int | |
| duplicate_rows: int | |
| invalid_type_cells: int | |
| schema_consistency: float = Field(ge=0.0, le=1.0) | |
| class QualityGateResult(BaseModel): | |
| name: str | |
| passed: bool | |
| message: str | |
| class Observation(BaseModel): | |
| task_id: str | |
| stage: str | |
| summary: str | |
| available_tools: List[str] | |
| snapshot: DatasetSnapshot | |
| recent_events: List[str] = Field(default_factory=list) | |
| quality_gates: List[QualityGateResult] = Field(default_factory=list) | |
| done: bool = False | |
| class FSDSAction(BaseModel): | |
| tool_name: str | |
| tool_args: Dict[str, Any] = Field(default_factory=dict) | |
| class StepRequest(BaseModel): | |
| action: FSDSAction | |
| class ResetResponse(BaseModel): | |
| observation: Observation | |
| info: Dict[str, Any] = Field(default_factory=dict) | |
| class StepResponse(BaseModel): | |
| observation: Observation | |
| reward: float | |
| done: bool | |
| truncated: bool = False | |
| info: Dict[str, Any] = Field(default_factory=dict) | |