233 lines
8.6 KiB
Rust
233 lines
8.6 KiB
Rust
//! 数据模型定义 — 与数据库表对应的 Rust 结构体
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use df_ai_core::model::{deserialize_model_configs, ModelConfig};
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use serde::{Deserialize, Serialize};
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// ============================================================
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// 想法相关模型
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// ============================================================
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/// 想法记录
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct IdeaRecord {
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pub id: String,
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pub title: String,
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pub description: String,
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pub status: String,
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pub priority: i32,
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pub score: Option<f64>,
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pub tags: Option<String>, // JSON 数组
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pub source: Option<String>,
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pub promoted_to: Option<String>, // 晋升后的 project_id
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pub ai_analysis: Option<String>, // AI 分析结果 JSON
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pub scores: Option<String>, // 多维评分 JSON (feasibility/impact/urgency/overall)
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pub created_at: String,
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pub updated_at: String,
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}
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// ============================================================
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// 项目相关模型
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// ============================================================
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/// 项目记录
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ProjectRecord {
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pub id: String,
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pub name: String,
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pub description: String,
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pub status: String,
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pub idea_id: Option<String>,
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/// 绑定的本地代码目录(绝对路径,可空=未绑定,第二步导入历史项目时复用)
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pub path: Option<String>,
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/// 技术栈 JSON 数组字符串(如 ["rust","vue","tauri"],由探测填充,可空)
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pub stack: Option<String>,
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pub created_at: String,
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pub updated_at: String,
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}
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// ============================================================
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// 任务相关模型
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// ============================================================
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/// 任务记录
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct TaskRecord {
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pub id: String,
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pub project_id: String,
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pub title: String,
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pub description: String,
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pub status: String,
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pub priority: i32,
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pub branch_name: Option<String>,
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pub assignee: Option<String>,
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pub workflow_def_id: Option<String>, // 关联的工作流定义 ID
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pub base_branch: Option<String>, // 基础分支
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/// review 退回累计轮数(in_review→in_progress / testing→in_review 时 +1,
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/// 由 advance_task 原子写入,见 df-nodes::task_advance_node)。
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/// #[serde(default)] 兼容旧前端无该字段的 JSON(老任务记录默认 0)。
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#[serde(default)]
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pub review_rounds: i32,
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/// 任务产出 JSON 字符串(AiNode 自审闭环,决策 a:task 中心,产出跟 task 走)。
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///
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/// 三方读写约定:ai_execute 写产出 / ai_self_review 读产出做自审 / human_review 展示产出对象。
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/// 经通用 update_field 写白名单(非 status 那种状态机收口字段),TEXT NULL 向后兼容。
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/// #[serde(skip_serializing_if)] 无产出不序列化(省前端字段空值),#[serde(default)] 兼容旧 JSON。
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#[serde(skip_serializing_if = "Option::is_none")]
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#[serde(default)]
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pub output_json: Option<String>,
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pub created_at: String,
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pub updated_at: String,
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}
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/// 分支记录
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct BranchRecord {
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pub id: String,
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pub project_id: String,
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pub task_id: Option<String>,
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pub name: String,
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pub base: String,
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pub status: String,
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pub created_at: String,
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pub updated_at: String,
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pub merged_at: Option<String>,
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}
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/// 发布记录
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ReleaseRecord {
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pub id: String,
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pub project_id: String,
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pub version: String,
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pub status: String,
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pub task_ids: String, // JSON 数组
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pub changelog: Option<String>,
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pub created_at: String,
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pub released_at: Option<String>,
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}
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// ============================================================
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// 工作流相关模型
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// ============================================================
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/// 工作流执行记录
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct WorkflowRecord {
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pub id: String,
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pub name: String,
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pub dag_json: String, // DAG 的 JSON 序列化
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pub status: String,
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pub triggered_by: Option<String>,
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pub project_id: Option<String>, // 关联项目 ID
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pub task_id: Option<String>, // 关联任务 ID
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pub created_at: String,
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pub completed_at: Option<String>,
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}
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/// 节点执行记录
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct NodeExecutionRecord {
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pub id: String,
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pub workflow_id: String,
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pub node_id: String,
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pub node_type: String,
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pub status: String,
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pub input_json: Option<String>,
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pub output_json: Option<String>,
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pub error_message: Option<String>,
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pub started_at: Option<String>,
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pub completed_at: Option<String>,
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}
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// ============================================================
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// AI 相关模型 (V3)
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// ============================================================
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/// AI 提供商配置记录
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct AiProviderRecord {
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pub id: String,
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pub name: String,
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pub provider_type: String,
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pub api_key: String,
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pub base_url: String,
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pub default_model: String,
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pub models: Option<String>, // JSON array of model names
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/// 模型能力配置数组(F-01 阶段1,4 维度 + 路由控制)。
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/// DB TEXT 列存 JSON 字符串,from_row 经 deserialize_model_configs 解析。
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/// 向后兼容:老库 NULL/空/老字符串数组 → 空 Vec 或转默认 ModelConfig。default_model 保留过渡。
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#[serde(default, deserialize_with = "deserialize_model_configs")]
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pub model_configs: Vec<ModelConfig>,
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pub is_default: bool,
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pub config: Option<String>, // JSON extra config
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pub created_at: String,
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pub updated_at: String,
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}
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/// AI 对话记录
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct AiConversationRecord {
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pub id: String,
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pub title: Option<String>,
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pub messages: String, // JSON array of ChatMessage
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pub provider_id: Option<String>,
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pub model: Option<String>,
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pub models: Option<String>, // 用过的所有 model(JSON 数组字符串,去重)
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pub archived: bool, // 是否归档(侧栏折叠展示)
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pub pinned: bool, // 是否置顶(排序置前;UX-17)
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pub prompt_tokens: Option<i64>, // 输入 token 累计(流式 usage 落库)
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pub completion_tokens: Option<i64>, // 输出 token 累计(流式 usage 落库)
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pub created_at: String,
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pub updated_at: String,
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}
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/// AI 工具执行审计记录
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct AiToolExecutionRecord {
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pub id: String,
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pub conversation_id: Option<String>,
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pub tool_call_id: String,
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pub tool_name: String,
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pub arguments: String,
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pub result: Option<String>,
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pub status: String, // pending/approved/rejected/executing/completed/failed
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pub risk_level: String, // low/medium/high
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pub requested_at: String,
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pub executed_at: Option<String>,
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pub decided_by: Option<String>, // human/auto
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}
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// ============================================================
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// 知识库模型 (V7)
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// ============================================================
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/// 知识条目记录(经验沉淀基本单元,共享记忆层)
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct KnowledgeRecord {
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pub id: String,
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pub kind: String, // KnowledgeKind snake_case(7 种)
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pub title: String,
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pub content: String,
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pub tags: Option<String>, // JSON 数组字符串
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pub status: String, // candidate|pending_review|published|archived
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pub confidence: Option<String>, // high|medium|low(AI 提炼自评,可空)
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pub reuse_count: i32, // 唯一客观排序信号
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pub verified: bool, // 发布审核时一次性人工标
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pub source_project: Option<String>, // 来源项目(仅溯源不过滤)
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pub source_ref: Option<String>, // 来源实体引用(如 conv:{id})
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pub reasoning: Option<String>, // AI 提炼判断依据("为何值得沉淀"),手动录入为 None
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pub created_at: String,
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pub updated_at: String,
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}
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/// 知识生命线事件记录(追加型审计:产生/审核/引用/归档)
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct KnowledgeEventRecord {
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pub id: String,
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pub knowledge_id: String,
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pub event_type: String, // created | extracted | status_changed | referenced | archived
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pub source_ref: Option<String>, // 触发来源: conv:{id} / manual / system
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pub context_json: Option<String>, // JSON: 因 event_type 而异
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pub timestamp: String,
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}
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