2026-05-11 03:51:24 +00:00
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from __future__ import annotations
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from datetime import datetime
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from typing import Any
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from pydantic import BaseModel, ConfigDict, Field
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from app.core.agent_enums import (
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AgentAssetContentType,
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AgentAssetDomain,
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AgentAssetStatus,
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AgentAssetType,
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AgentReviewStatus,
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)
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class AgentAssetCreate(BaseModel):
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asset_type: AgentAssetType
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code: str = Field(min_length=1, max_length=100)
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name: str = Field(min_length=1, max_length=200)
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description: str = ""
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domain: AgentAssetDomain
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scenario_json: list[Any] = Field(default_factory=list)
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owner: str = Field(min_length=1, max_length=100)
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reviewer: str | None = Field(default=None, max_length=100)
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status: AgentAssetStatus = AgentAssetStatus.DRAFT
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config_json: dict[str, Any] = Field(default_factory=dict)
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class AgentAssetUpdate(BaseModel):
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name: str | None = Field(default=None, min_length=1, max_length=200)
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description: str | None = None
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domain: AgentAssetDomain | None = None
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scenario_json: list[Any] | None = None
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owner: str | None = Field(default=None, min_length=1, max_length=100)
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reviewer: str | None = Field(default=None, max_length=100)
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status: AgentAssetStatus | None = None
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current_version: str | None = Field(default=None, max_length=30)
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2026-05-18 02:48:51 +00:00
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published_version: str | None = Field(default=None, max_length=30)
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working_version: str | None = Field(default=None, max_length=30)
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2026-05-11 03:51:24 +00:00
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config_json: dict[str, Any] | None = None
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class AgentAssetVersionCreate(BaseModel):
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version: str = Field(min_length=1, max_length=30)
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content: Any
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content_type: AgentAssetContentType
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change_note: str | None = None
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created_by: str = Field(min_length=1, max_length=100)
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class RuleMarkdownUpdate(BaseModel):
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version: str = Field(min_length=1, max_length=30)
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content: str
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change_note: str | None = None
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created_by: str = Field(min_length=1, max_length=100)
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class AgentAssetReviewCreate(BaseModel):
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version: str = Field(min_length=1, max_length=30)
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reviewer: str = Field(min_length=1, max_length=100)
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review_status: AgentReviewStatus
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review_note: str | None = None
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class AgentAssetReviewRead(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: str
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asset_id: str
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version: str
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reviewer: str
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review_status: str
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review_note: str | None
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reviewed_at: datetime | None
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created_at: datetime
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2026-05-18 02:48:51 +00:00
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class AgentAssetOnlyOfficeConfigRead(BaseModel):
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documentServerUrl: str
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config: dict[str, Any] = Field(default_factory=dict)
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class AgentAssetOnlyOfficeCallbackRead(BaseModel):
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error: int = 0
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class AgentAssetOnlyOfficeCallbackWrite(BaseModel):
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model_config = ConfigDict(extra="allow")
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status: int = Field(description="ONLYOFFICE 回调状态码。")
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url: str | None = Field(default=None, description="文档下载地址,状态为 2 或 6 时使用。")
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users: list[str] = Field(default_factory=list, description="当前编辑用户列表。")
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2026-05-19 15:41:53 +00:00
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class AgentAssetRuleJsonWrite(BaseModel):
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payload: dict[str, Any] = Field(default_factory=dict)
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class AgentAssetRuleJsonRead(BaseModel):
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file_name: str
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rule_code: str
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name: str
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description: str = ""
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evaluator: str = ""
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ontology_signal: str | None = None
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2026-05-23 19:54:42 +08:00
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flow_diagram_svg: str | None = None
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inputs: dict[str, Any] = Field(default_factory=dict)
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outcomes: dict[str, Any] = Field(default_factory=dict)
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payload: dict[str, Any] = Field(default_factory=dict)
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2026-05-23 19:54:42 +08:00
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class AgentAssetRiskRuleGenerateRequest(BaseModel):
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business_domain: AgentAssetDomain = AgentAssetDomain.EXPENSE
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risk_level: str = Field(default="medium", pattern="^(low|medium|high)$")
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natural_language: str = Field(min_length=8, max_length=2000)
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2026-05-18 02:48:51 +00:00
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class AgentAssetVersionTimelineItemRead(BaseModel):
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event_type: str
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version: str
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actor: str
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event_time: datetime
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title: str
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description: str = ""
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note: str | None = None
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source_version: str | None = None
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class AgentAssetSpreadsheetDiffCellRead(BaseModel):
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sheet_name: str
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cell: str
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change_type: str
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before_value: Any | None = None
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after_value: Any | None = None
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class AgentAssetSpreadsheetDiffSheetRead(BaseModel):
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sheet_name: str
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change_type: str
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2026-05-18 09:42:23 +00:00
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class AgentAssetSpreadsheetChangeRecordRead(BaseModel):
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id: str
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actor: str
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changed_at: datetime
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summary: str
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sheet_changes: list[AgentAssetSpreadsheetDiffSheetRead] = Field(default_factory=list)
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cell_changes: list[AgentAssetSpreadsheetDiffCellRead] = Field(default_factory=list)
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changed_sheet_count: int = 0
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changed_cell_count: int = 0
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2026-05-11 03:51:24 +00:00
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class AgentAssetVersionRead(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: str
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asset_id: str
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version: str
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content: Any
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content_type: str
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change_note: str | None
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created_by: str
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created_at: datetime
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is_current: bool = False
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2026-05-18 02:48:51 +00:00
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is_published: bool = False
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is_working: bool = False
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lifecycle_state: str = "history"
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2026-05-11 03:51:24 +00:00
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class AgentAssetListItem(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: str
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asset_type: str
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code: str
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name: str
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description: str
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domain: str
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scenario_json: list[Any]
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owner: str
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reviewer: str | None
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status: str
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current_version: str | None
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2026-05-18 02:48:51 +00:00
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published_version: str | None
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working_version: str | None
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2026-05-11 03:51:24 +00:00
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config_json: dict[str, Any]
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2026-05-19 15:41:53 +00:00
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change_count: int = 0
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modified_by: str | None = None
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2026-05-11 03:51:24 +00:00
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created_at: datetime
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updated_at: datetime
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class AgentAssetRead(AgentAssetListItem):
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current_version_content: Any | None = None
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current_version_content_type: str | None = None
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current_version_change_note: str | None = None
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recent_versions: list[AgentAssetVersionRead] = Field(default_factory=list)
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latest_review: AgentAssetReviewRead | None = None
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