2c7677b76f
The pipeline stores tm_entries_cited as a list[str] of seg_keys, but the Pydantic response schema expected dict[str, Any], causing a validation error when loading the output preview page. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
64 lines
1.6 KiB
Python
64 lines
1.6 KiB
Python
from datetime import datetime
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from typing import Any
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from uuid import UUID
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from pydantic import BaseModel
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from app.models.output import ConfidenceTier
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class FeedbackSummary(BaseModel):
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"""Lightweight feedback info embedded in output row responses."""
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id: UUID
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flag_type: str
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comment: str | None = None
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user_id: UUID
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created_at: datetime
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model_config = {"from_attributes": True}
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class OutputRowResponse(BaseModel):
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id: UUID
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instance_id: UUID
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line_id: UUID
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row_order: int
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confidence_tier: ConfidenceTier
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option_1: str
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backtranslation_1: str
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rationale_1: str
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option_2: str | None = None
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backtranslation_2: str | None = None
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rationale_2: str | None = None
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option_3: str | None = None
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backtranslation_3: str | None = None
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rationale_3: str | None = None
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tm_entries_cited: list[str] | dict[str, Any] | None = None
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winning_seg_key: str | None = None
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character_count_option_1: int | None = None
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character_count_option_2: int | None = None
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character_count_option_3: int | None = None
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feedback: list[FeedbackSummary] = []
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model_config = {"from_attributes": True}
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class SourceLinePreview(BaseModel):
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id: UUID
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row_order: int
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en_gb: str
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copy_type: str | None = None
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creative_guidance: str | None = None
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char_limit: str | None = None
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model_config = {"from_attributes": True}
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class OutputPreviewResponse(BaseModel):
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locale_code: str
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instance_id: UUID
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source_lines: list[SourceLinePreview]
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output_rows: list[OutputRowResponse]
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total_rows: int
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model_config = {"from_attributes": True}
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