201 lines
11 KiB
Python
201 lines
11 KiB
Python
"""Feishu signal pipeline mixin."""
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from __future__ import annotations
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from .shared import *
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from . import shared as _pipeline
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class FeishuPipelineSerializationMixin:
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async def _serialize_item(self, item: FeishuItem, *,
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include_raw: bool = False,
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include_history: bool = False,
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) -> dict[str, Any]:
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result_payload = item.result_payload if isinstance(item.result_payload, dict) else {}
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ai_output = _pipeline._safe_dict(item.ai_output)
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project_name = await self._load_project_name(_pipeline._safe_int(item.matched_project_id))
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row: dict[str, Any] = {
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"id": str(item.id),
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"feishu_message_id": item.feishu_message_id,
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"level": item.level,
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"card_type": item.card_type,
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"route_status": self._normalize_route_status(item.route_status),
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"project_score": item.project_score,
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"signal_confidence": item.signal_confidence,
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"level_confidence": item.level_confidence,
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"level_reasoning": item.level_reasoning,
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"matched_project_id": item.matched_project_id,
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"project_name": project_name,
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"sender": item.source_sender,
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"created_at": item.created_at.isoformat() if item.created_at else None,
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"processed_at": item.processed_at.isoformat() if item.processed_at else None,
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"updated_at": item.updated_at.isoformat() if item.updated_at else None,
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"decision_reason": item.decision_reason,
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"blocking_reason": item.blocking_reason,
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"safe_to_auto_execute": bool(item.safe_to_auto_execute),
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"auto_execute_state": self._resolve_auto_execute_state(item),
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"dedupe_key": item.dedupe_key,
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"message_class": self._resolve_message_class(item),
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"occurrence_count": int(item.occurrence_count or 1),
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"next_step_text": item.next_step_text,
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"undoable_until": item.undoable_until.isoformat() if item.undoable_until else None,
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"result_payload": result_payload or None,
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"display_kind": self._resolve_message_class(item),
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"target_url": result_payload.get("target_url") if isinstance(result_payload, dict) else None,
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"priority_rank": 0,
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}
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if not row["target_url"] and item.matched_project_id:
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row["target_url"] = f"/projects/{int(item.matched_project_id)}/board"
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if include_raw:
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row["raw_message"] = item.raw_message
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if (item.level or "").lower() == "project":
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suggestion = await self._get_project_suggestion(item.id)
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operation_payload = result_payload.get("operation_payload") if isinstance(result_payload.get("operation_payload"), dict) else {}
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project_fields = {
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"title": str(
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(suggestion.suggested_name if suggestion is not None else None)
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or operation_payload.get("title")
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or ""
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).strip(),
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"description": str(
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(suggestion.suggested_description if suggestion is not None else None)
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or operation_payload.get("description")
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or ""
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).strip(),
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"project_scope": str(result_payload.get("project_scope") or "").strip(),
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"missing_fields": [],
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"ready": False,
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}
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if not all(str(project_fields.get(field) or "").strip() for field in ("title", "description", "project_scope")):
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project_fields = await self._maybe_prefill_project_fields_from_context(
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message=str(item.raw_message or ""),
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source_chat_id=str(item.source_chat_id or ""),
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source_sender_open_id=str(item.source_sender_open_id or "") or None,
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sender=str(item.source_sender or ""),
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source_message_id=str(item.feishu_message_id or "") or None,
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fields=project_fields,
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)
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if suggestion:
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created_project_id = _pipeline._safe_int(suggestion.created_project_id)
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created_project_name = await self._load_project_name(created_project_id)
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row["project_suggestion"] = {
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"id": str(suggestion.id),
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"suggested_name": suggestion.suggested_name,
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"suggested_description": suggestion.suggested_description,
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"suggested_owner": suggestion.suggested_owner,
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"suggested_timeline": suggestion.suggested_timeline,
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"confidence": suggestion.confidence,
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"reasoning": _pipeline._normalize_reasoning(suggestion.reasoning),
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"status": suggestion.status,
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"created_project_id": str(created_project_id) if created_project_id else None,
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}
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row["project_name"] = created_project_name or row["project_name"]
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row["matched_project_id"] = created_project_id or row["matched_project_id"]
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row["priority"] = "high" if (item.project_score or 0) >= 0.85 else "medium"
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row["priority_rank"] = 4 if (item.project_score or 0) >= 0.85 else 3
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if created_project_id and not row["target_url"]:
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row["target_url"] = f"/projects/{created_project_id}/board"
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row["title"] = self._build_project_preview_title(
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title=str(project_fields.get("title") or ""),
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description=str(project_fields.get("description") or ""),
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project_scope=str(project_fields.get("project_scope") or ""),
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)
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row["summary"] = self._build_project_preview_summary(
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description=str(project_fields.get("description") or ""),
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project_scope=str(project_fields.get("project_scope") or ""),
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blocking_reason=item.blocking_reason,
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fallback_text=str(ai_output.get("normalized_text") or item.raw_message or ""),
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)
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row["detail_summary"] = row["summary"]
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if not row.get("priority"):
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row["priority"] = "high" if (item.project_score or 0) >= 0.85 else "medium"
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row["priority_rank"] = 4 if (item.project_score or 0) >= 0.85 else 3
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return row
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if (item.level or "").lower() == "command":
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operation_code = str(result_payload.get("operation_code") or "").strip()
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row["title"] = (
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str(result_payload.get("result_summary") or "").strip()
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or operation_code
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or "受控动作"
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)
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row["summary"] = str(item.blocking_reason or row["title"] or "").strip()
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row["priority"] = "high" if row["display_kind"] == "action_required" else "medium"
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row["priority_rank"] = 4 if row["display_kind"] == "action_required" else 2
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if not row.get("next_step_text"):
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row["next_step_text"] = self._build_pending_operation_next_step(operation_code=operation_code)
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if result_payload:
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row["command"] = {
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"operation_code": operation_code or None,
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"executor": str(result_payload.get("executor") or "").strip() or None,
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"operation_payload": (
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result_payload.get("operation_payload")
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if isinstance(result_payload.get("operation_payload"), dict)
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else None
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),
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"operation_result": (
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result_payload.get("operation_result")
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if isinstance(result_payload.get("operation_result"), dict)
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else None
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),
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}
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return row
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signal = await self._get_signal_by_item(item.id)
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if signal:
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matched_project_id = _pipeline._safe_int(signal.matched_project_id) or _pipeline._safe_int(item.matched_project_id)
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matched_project_name = await self._load_project_name(matched_project_id)
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row["signal"] = {
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"id": str(signal.id),
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"title": signal.title,
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"signal_type": signal.signal_type,
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"priority": signal.priority,
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"summary": signal.summary,
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"reasoning": _pipeline._normalize_reasoning(signal.reasoning),
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"confidence": signal.confidence,
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"recommended_action": signal.recommended_action,
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"matched_project_id": signal.matched_project_id,
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"status": signal.status,
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}
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row["title"] = signal.title or "未命名信号"
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row["summary"] = signal.summary
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row["priority"] = signal.priority
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row["priority_rank"] = _pipeline.PROJECT_PRIORITY_ORDER.get(str(signal.priority or "").upper(), 1)
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row["matched_project_id"] = matched_project_id
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row["project_name"] = matched_project_name or row["project_name"]
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if matched_project_id and not row["target_url"]:
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row["target_url"] = f"/projects/{matched_project_id}/board"
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if not row.get("next_step_text"):
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if row["display_kind"] == "auto_done":
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row["next_step_text"] = "下一步可继续生成 charter、任务或通知负责人。"
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elif not matched_project_id:
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row["next_step_text"] = "补齐项目归属后，AI 将自动继续后续链路。"
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if not row.get("summary"):
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row["summary"] = _pipeline._compact_text(signal.content or item.raw_message, max_len=140)
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if include_history:
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history_rows = (
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await self.db.execute(
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select(SignalEdit)
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.where(
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and_(
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SignalEdit.tenant_id == self.tenant_id,
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SignalEdit.signal_id == int(signal.id),
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)
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)
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.order_by(SignalEdit.edited_at.desc())
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.limit(20)
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)
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).scalars().all()
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row["edit_history"] = [
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{
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"field": history.field,
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"old_value": history.old_value,
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"new_value": history.new_value,
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"edited_by": str(history.edited_by) if history.edited_by else None,
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"edited_at": history.edited_at.isoformat() if history.edited_at else None,
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}
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for history in history_rows
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]
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return row
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