重构: df-core改名df-types(类型库语义准+全workspace机械改名54处)

Cargo.lock

@@ -741,12 +741,12 @@ dependencies = [
  "base64 0.22.1",
  "chrono",
  "df-ai",
- "df-core",
  "df-execute",
  "df-ideas",
  "df-nodes",
  "df-project",
  "df-storage",
+ "df-types",
  "df-workflow",
  "futures",
  "keyring",
@@ -768,7 +768,7 @@ dependencies = [
  "anyhow",
  "async-trait",
  "df-ai-core",
- "df-core",
+ "df-types",
  "eventsource-stream",
  "futures",
  "reqwest 0.12.28",
@@ -789,24 +789,13 @@ dependencies = [
  "serde_json",
 ]
 
-[[package]]
-name = "df-core"
-version = "0.1.0"
-dependencies = [
- "chrono",
- "serde",
- "serde_json",
- "thiserror 2.0.18",
- "uuid",
-]
-
 [[package]]
 name = "df-execute"
 version = "0.1.0"
 dependencies = [
  "anyhow",
  "async-trait",
- "df-core",
+ "df-types",
  "serde",
  "serde_json",
  "tokio",
@@ -822,7 +811,7 @@ dependencies = [
  "chrono",
  "df-ai",
  "df-ai-core",
- "df-core",
+ "df-types",
  "regex",
  "serde",
  "serde_json",
@@ -837,9 +826,9 @@ dependencies = [
  "anyhow",
  "async-trait",
  "df-ai",
- "df-core",
  "df-execute",
  "df-storage",
+ "df-types",
  "df-workflow",
  "serde",
  "serde_json",
@@ -853,7 +842,7 @@ version = "0.1.0"
 dependencies = [
  "anyhow",
  "chrono",
- "df-core",
+ "df-types",
  "serde",
  "serde_json",
  "tokio",
@@ -866,7 +855,7 @@ version = "0.1.0"
 dependencies = [
  "anyhow",
  "df-ai-core",
- "df-core",
+ "df-types",
  "keyring",
  "rusqlite",
  "serde",
@@ -875,13 +864,24 @@ dependencies = [
  "tracing",
 ]
 
+[[package]]
+name = "df-types"
+version = "0.1.0"
+dependencies = [
+ "chrono",
+ "serde",
+ "serde_json",
+ "thiserror 2.0.18",
+ "uuid",
+]
+
 [[package]]
 name = "df-workflow"
 version = "0.1.0"
 dependencies = [
  "anyhow",
  "async-trait",
- "df-core",
+ "df-types",
  "futures",
  "serde",
  "serde_json",

crates/df-ai/Cargo.toml

@@ -4,7 +4,7 @@ version = "0.1.0"
 edition = "2021"
 
 [dependencies]
-df-core = { path = "../df-core" }
+df-types = { path = "../df-types" }
 df-ai-core = { path = "../df-ai-core" }
 serde = { workspace = true }
 serde_json = { workspace = true }

crates/df-execute/Cargo.toml

@@ -4,7 +4,7 @@ version = "0.1.0"
 edition = "2021"
 
 [dependencies]
-df-core = { path = "../df-core" }
+df-types = { path = "../df-types" }
 serde = { workspace = true }
 serde_json = { workspace = true }
 tokio = { workspace = true }

crates/df-ideas/Cargo.toml

@@ -4,7 +4,7 @@ version = "0.1.0"
 edition = "2021"
 
 [dependencies]
-df-core = { path = "../df-core" }
+df-types = { path = "../df-types" }
 df-ai-core = { path = "../df-ai-core" }
 # F-01 阶段5: df-ideas 对抗评估接入 df_ai::router::select_model_id(纯函数路由)。
 # 注:df-ai 引入 reqwest/futures/eventsource-stream 重依赖,但 router 模块仅依赖

crates/df-ideas/src/adversarial.rs

@@ -18,7 +18,7 @@ use serde::{Deserialize, Serialize};
 
 use df_ai_core::model::ModelConfig;
 use df_ai_core::provider::LlmProvider;
-use df_core::types::{IdeaId, Priority};
+use df_types::types::{IdeaId, Priority};
 use crate::capture::Idea;
 use crate::scoring::IdeaScores;
 
@@ -653,7 +653,7 @@ mod tests {
     use super::*;
     use crate::capture::Idea;
     use crate::scoring::ScoringEngine;
-    use df_core::types::{IdeaStatus, Priority};
+    use df_types::types::{IdeaStatus, Priority};
 
     fn make_idea(title: &str, desc: &str, priority: Priority, tags: Vec<&str>) -> Idea {
         Idea {

crates/df-ideas/src/capture.rs

@@ -2,7 +2,7 @@
 
 use serde::{Deserialize, Serialize};
 
-use df_core::types::{IdeaId, Priority};
+use df_types::types::{IdeaId, Priority};
 
 /// 想法实体
 #[derive(Debug, Clone, Serialize, Deserialize)]
@@ -14,7 +14,7 @@ pub struct Idea {
     /// 详细描述
     pub description: String,
     /// 当前状态
-    pub status: df_core::types::IdeaStatus,
+    pub status: df_types::types::IdeaStatus,
     /// 优先级
     pub priority: Priority,
     /// 评分

crates/df-ideas/src/promotion.rs

@@ -10,7 +10,7 @@
 
 use serde::Serialize;
 
-use df_core::types::{IdeaId, ProjectId};
+use df_types::types::{IdeaId, ProjectId};
 
 /// 晋升结果（promote_idea IPC 返回类型）
 #[derive(Debug, Clone, Serialize)]

crates/df-ideas/src/scoring.rs

@@ -9,7 +9,7 @@ use crate::capture::Idea;
 /// 想法评分详情（重新导出 capture 模块中的定义）
 pub use crate::capture::IdeaScores;
 
-use df_core::types::Priority;
+use df_types::types::Priority;
 
 /// 评分权重配置
 #[derive(Debug, Clone)]
@@ -135,7 +135,7 @@ fn count_any(text: &str, keywords: &[&str]) -> usize {
 mod tests {
     use super::*;
     use crate::capture::Idea;
-    use df_core::types::{IdeaStatus, Priority};
+    use df_types::types::{IdeaStatus, Priority};
 
     /// 辅助工厂：构造测试用 Idea（时间/ID 用默认值，不影响评分）
     fn make_idea(title: &str, desc: &str, priority: Priority, tags: Vec<&str>) -> Idea {

crates/df-nodes/Cargo.toml

@@ -4,7 +4,7 @@ version = "0.1.0"
 edition = "2021"
 
 [dependencies]
-df-core = { path = "../df-core" }
+df-types = { path = "../df-types" }
 df-execute = { path = "../df-execute" }
 df-workflow = { path = "../df-workflow" }
 df-ai = { path = "../df-ai" }

crates/df-nodes/src/ai_node.rs

@@ -565,7 +565,7 @@ impl Node for AiSelfReviewNode {
         };
         review_with_meta.insert(
             "reviewed_at".into(),
-            serde_json::Value::Number(df_core::now_millis().into()),
+            serde_json::Value::Number(df_types::now_millis().into()),
         );
         review_with_meta.insert("reviewer_model".into(), serde_json::json!(response.model));
         output_obj.insert("review".into(), serde_json::Value::Object(review_with_meta));

crates/df-nodes/src/human_node.rs

@@ -4,7 +4,7 @@ use async_trait::async_trait;
 use std::time::Duration;
 use tokio::sync::broadcast;
 use df_workflow::node::{Node, NodeContext, NodeOutput, NodeResult, NodeSchema};
-use df_core::events::{SelectType, WorkflowEvent};
+use df_types::events::{SelectType, WorkflowEvent};
 
 /// F-260616-06 阶段2: 拒绝语义化关键字。
 /// decision 归一化(去空白 + 小写)后命中此集合 → 审批拒绝 → 节点返 Err(触发工作流 failed)。
@@ -217,7 +217,7 @@ impl Node for HumanNode {
 #[cfg(test)]
 mod tests {
     use super::*;
-    use df_core::types::NodeStatus;
+    use df_types::types::NodeStatus;
     use df_workflow::dag::Dag;
     use df_workflow::eventbus::EventBus;
     use df_workflow::executor::DagExecutor;

crates/df-nodes/src/task_advance_node.rs

@@ -44,10 +44,10 @@ pub async fn advance_task_atomic(
     repo: &TaskRepo,
     id: &str,
     target_status: &str,
-) -> df_core::error::Result<TaskRecord> {
+) -> df_types::error::Result<TaskRecord> {
     // 1. target 合法性(7 态之一)。先于读库校验:即便任务不存在,也先拒绝非法状态值。
     if !is_valid_state(target_status) {
-        return Err(df_core::error::Error::Validation(format!(
+        return Err(df_types::error::Error::Validation(format!(
             "非法 target_status {:?},合法值: {}",
             target_status,
             ALL_STATES.join("/")
@@ -58,19 +58,19 @@ pub async fn advance_task_atomic(
     let current = repo
         .get_by_id(id)
         .await?
-        .ok_or_else(|| df_core::error::Error::NotFound(format!("任务 {} 不存在", id)))?;
+        .ok_or_else(|| df_types::error::Error::NotFound(format!("任务 {} 不存在", id)))?;
 
     // 3. 状态机校验(三类拒绝,错误类型区分供前端分辨):
     //    - 同态(from==to):Validation「相同状态,无需推进」(空操作,非状态机违例)
     //    - 非法转换(跳态/终态无后继等):InvalidState「非法状态转换 X→Y」
     let from = current.status.as_str();
     if from == target_status {
-        return Err(df_core::error::Error::Validation(format!(
+        return Err(df_types::error::Error::Validation(format!(
             "相同状态 {from:?},无需推进"
         )));
     }
     if !can_transition(from, target_status) {
-        return Err(df_core::error::Error::InvalidState {
+        return Err(df_types::error::Error::InvalidState {
             current: format!("{from}→{target_status}(非法状态转换)"),
             expected: target_status.to_string(),
         });
@@ -83,7 +83,7 @@ pub async fn advance_task_atomic(
         .await?;
 
     // 5. CAS 失败:并发已改动 status(或任务被删),拒绝静默成功。
-    updated.ok_or_else(|| df_core::error::Error::InvalidState {
+    updated.ok_or_else(|| df_types::error::Error::InvalidState {
         current: "已变更(并发推进或旁路修改)".to_string(),
         expected: from.to_string(),
     })
@@ -268,7 +268,7 @@ mod tests {
         repo.insert(rec("t1", "todo")).await.unwrap();
         let err = advance_task_atomic(&repo, "t1", "done").await.unwrap_err();
         match err {
-            df_core::error::Error::InvalidState { current, expected } => {
+            df_types::error::Error::InvalidState { current, expected } => {
                 assert!(current.contains("todo→done"), "非法转换消息应含 from→to,实际: {current}");
                 assert!(current.contains("非法状态转换"), "消息应含「非法状态转换」,实际: {current}");
                 assert_eq!(expected, "done");
@@ -284,7 +284,7 @@ mod tests {
         repo.insert(rec("t1", "done")).await.unwrap();
         let err = advance_task_atomic(&repo, "t1", "todo").await.unwrap_err();
         match err {
-            df_core::error::Error::InvalidState { current, .. } => {
+            df_types::error::Error::InvalidState { current, .. } => {
                 assert!(current.contains("done→todo"), "终态后继消息应含 from→to,实际: {current}");
             }
             other => panic!("终态后继应是 InvalidState,实际: {other:?}"),
@@ -300,7 +300,7 @@ mod tests {
         repo.insert(rec("t1", "in_progress")).await.unwrap();
         let err = advance_task_atomic(&repo, "t1", "in_progress").await.unwrap_err();
         match err {
-            df_core::error::Error::Validation(msg) => {
+            df_types::error::Error::Validation(msg) => {
                 assert!(msg.contains("相同状态"), "同态消息应含「相同状态」,实际: {msg}");
             }
             other => panic!("同态拒绝应是 Validation,实际: {other:?}"),
@@ -312,14 +312,14 @@ mod tests {
         let repo = setup().await;
         repo.insert(rec("t1", "todo")).await.unwrap();
         let err = advance_task_atomic(&repo, "t1", "merged").await.unwrap_err();
-        assert!(matches!(err, df_core::error::Error::Validation(_)));
+        assert!(matches!(err, df_types::error::Error::Validation(_)));
     }
 
     #[tokio::test]
     async fn not_found_rejected() {
         let repo = setup().await;
         let err = advance_task_atomic(&repo, "nope", "in_progress").await.unwrap_err();
-        assert!(matches!(err, df_core::error::Error::NotFound(_)));
+        assert!(matches!(err, df_types::error::Error::NotFound(_)));
     }
 
     #[tokio::test]

crates/df-nodes/src/task_state_machine.rs

@@ -1,10 +1,10 @@
 //! 任务推进状态机 — 7 态合法转换定义(F-260616-01)
 //!
-//! 独立模块,非挂在 df-core::TaskStatus enum 上(对齐 D-260616-03「推进链业务逻辑落
+//! 独立模块,非挂在 df-types::TaskStatus enum 上(对齐 D-260616-03「推进链业务逻辑落
 //! df-nodes」)。本模块只做「给定 from/to 是否合法」的纯函数判定,不触碰存储层
 //! (原子写 SQL 在 task_advance_node.rs 完成,见 F-260616-02)。
 //!
-//! 7 态(与 df-core::TaskStatus / 前端对齐,D-260616-01):
+//! 7 态(与 df-types::TaskStatus / 前端对齐,D-260616-01):
 //!   todo / in_progress / in_review / testing / done / blocked / cancelled
 //!
 //! 闸门链主路径: todo → in_progress → in_review → testing → done
@@ -22,11 +22,11 @@
 //!   - cancelled  → 终态
 
 // ============================================================
-// 状态字符串常量 — 与 df-core::TaskStatus::as_str 一一对应
+// 状态字符串常量 — 与 df-types::TaskStatus::as_str 一一对应
 // ============================================================
 //
-// 不复用 df-core::TaskStatus enum(独立模块定位 + 避免推进链判定耦合存储枚举类型),
-// 但字符串值严格对齐(df-core::TaskStatus::as_str 产出的小写 snake_case),
+// 不复用 df-types::TaskStatus enum(独立模块定位 + 避免推进链判定耦合存储枚举类型),
+// 但字符串值严格对齐(df-types::TaskStatus::as_str 产出的小写 snake_case),
 // 保证状态机判定的 from/to 与数据库 status 列存值语义一致。
 
 /// 待开始

crates/df-project/Cargo.toml

@@ -4,7 +4,7 @@ version = "0.1.0"
 edition = "2021"
 
 [dependencies]
-df-core = { path = "../df-core" }
+df-types = { path = "../df-types" }
 serde = { workspace = true }
 serde_json = { workspace = true }
 tokio = { workspace = true }

crates/df-project/src/manager.rs

@@ -2,7 +2,7 @@
 
 use serde::{Deserialize, Serialize};
 
-use df_core::types::{IdeaId, Priority, ProjectId, ProjectStatus};
+use df_types::types::{IdeaId, Priority, ProjectId, ProjectStatus};
 
 /// 项目实体
 #[derive(Debug, Clone, Serialize, Deserialize)]
@@ -49,7 +49,7 @@ impl ProjectManager {
     pub fn create(input: CreateProjectInput) -> Project {
         let now = chrono::Utc::now();
         Project {
-            id: df_core::types::new_id(),
+            id: df_types::types::new_id(),
             name: input.name,
             description: input.description,
             status: ProjectStatus::Planning,

crates/df-storage/Cargo.toml

@@ -4,7 +4,7 @@ version = "0.1.0"
 edition = "2021"
 
 [dependencies]
-df-core = { path = "../df-core" }
+df-types = { path = "../df-types" }
 # F-01 阶段1:ModelConfig/deserialize_model_configs 向后兼容反序列化(老字符串数组/新对象数组/null/空)
 df-ai-core = { path = "../df-ai-core" }
 serde = { workspace = true }

crates/df-storage/src/crud.rs

@@ -7,7 +7,7 @@ use std::sync::Arc;
 use rusqlite::{params, Connection, OptionalExtension, Row};
 use tokio::sync::Mutex;
 
-use df_core::error::{Error, Result};
+use df_types::error::{Error, Result};
 
 use crate::db::Database;
 use crate::models::{
@@ -16,7 +16,7 @@ use crate::models::{
     TaskRecord, WorkflowRecord,
 };
 
-/// rusqlite 错误 → df-core `Error::Storage` 统一包装(R-PD-10 DRY,
+/// rusqlite 错误 → df-types `Error::Storage` 统一包装(R-PD-10 DRY,
 /// 替代散落的 `.map_err(storage_err)`)。
 fn storage_err<E: std::string::ToString>(e: E) -> Error {
     Error::Storage(e.to_string())
@@ -412,8 +412,8 @@ pub fn is_allowed_column(table: &str, field: &str) -> bool {
 // ============================================================
 
 fn now_millis_str() -> String {
-    // 转发 df_core::now_millis(DRY:时间获取统一入口在 df-core,避免本 crate 与 commands 层各写一份 SystemTime 调用)
-    df_core::now_millis().to_string()
+    // 转发 df_types::now_millis(DRY:时间获取统一入口在 df-types,避免本 crate 与 commands 层各写一份 SystemTime 调用)
+    df_types::now_millis().to_string()
 }
 
 // ============================================================

crates/df-types/Cargo.toml

@@ -1,5 +1,5 @@
 [package]
-name = "df-core"
+name = "df-types"
 version = "0.1.0"
 edition = "2021"
 

crates/df-types/src/lib.rs

@@ -1,8 +1,8 @@
-//! df-core: 核心类型定义，所有 crate 的基础依赖
+//! df-types: 核心类型定义，所有 crate 的基础依赖
 
 pub mod error;
 pub mod events;
 pub mod types;
 
-// 顶层 re-export:常用时间工具(跨 crate 调用方用 df_core::now_millis,避免 types:: 前缀)
+// 顶层 re-export:常用时间工具(跨 crate 调用方用 df_types::now_millis,避免 types:: 前缀)
 pub use types::now_millis;

crates/df-workflow/Cargo.toml

@@ -4,7 +4,7 @@ version = "0.1.0"
 edition = "2021"
 
 [dependencies]
-df-core = { path = "../df-core" }
+df-types = { path = "../df-types" }
 serde = { workspace = true }
 serde_json = { workspace = true }
 tokio = { workspace = true }

crates/df-workflow/src/dag.rs

@@ -2,8 +2,8 @@
 
 use std::collections::{HashMap, HashSet, VecDeque};
 
-use df_core::error::Result;
-use df_core::types::NodeId;
+use df_types::error::Result;
+use df_types::types::NodeId;
 
 use crate::node::Node;
 
@@ -141,7 +141,7 @@ impl Dag {
         }
 
         if processed != node_ids.len() {
-            return Err(df_core::error::Error::Workflow(
+            return Err(df_types::error::Error::Workflow(
                 "DAG 中存在环，无法进行拓扑排序".to_string(),
             ));
         }

crates/df-workflow/src/eventbus.rs

@@ -2,7 +2,7 @@
 
 use tokio::sync::broadcast;
 use tokio::sync::broadcast::error::SendError;
-use df_core::events::WorkflowEvent;
+use df_types::events::WorkflowEvent;
 
 /// 事件总线
 #[derive(Debug)]

crates/df-workflow/src/executor.rs

@@ -2,8 +2,8 @@
 
 use std::collections::HashMap;
 
-use df_core::events::WorkflowEvent;
-use df_core::types::NodeId;
+use df_types::events::WorkflowEvent;
+use df_types::types::NodeId;
 
 use crate::dag::Dag;
 use crate::eventbus::EventBus;
@@ -350,7 +350,7 @@ mod tests {
         assert!(err.to_string().contains("节点 a 执行失败"));
 
         // 同层成功节点状态正常更新，下游节点保持 Pending
-        use df_core::types::NodeStatus;
+        use df_types::types::NodeStatus;
         assert_eq!(executor.state_machine.get(&"a".to_string()), NodeStatus::Failed);
         assert_eq!(executor.state_machine.get(&"b".to_string()), NodeStatus::Completed);
         assert_eq!(executor.state_machine.get(&"c".to_string()), NodeStatus::Pending);
@@ -383,7 +383,7 @@ mod tests {
     /// 状态保持 Cancelled,run 返回取消相关 Err 而非状态转换错误。
     #[tokio::test]
     async fn test_cancelled_node_skips_set_failed() {
-        use df_core::types::NodeStatus;
+        use df_types::types::NodeStatus;
         let mut dag = Dag::new();
         dag.add_node("x".to_string(), Box::new(CancelSelfNode));
 
@@ -434,7 +434,7 @@ mod tests {
     /// 状态保持 Cancelled,run 返回 Ok(已批准审批不应误报失败)。
     #[tokio::test]
     async fn test_cancelled_node_skips_set_completed() {
-        use df_core::types::NodeStatus;
+        use df_types::types::NodeStatus;
         let mut dag = Dag::new();
         dag.add_node("y".to_string(), Box::new(CancelSelfThenOkNode));
 
@@ -458,8 +458,8 @@ mod tests {
     /// 前端按 type 区分「取消」与「失败」。订阅事件总线收集所有事件断言。
     #[tokio::test]
     async fn test_cancelled_node_emits_node_cancelled_event() {
-        use df_core::events::WorkflowEvent;
-        use df_core::types::NodeStatus;
+        use df_types::events::WorkflowEvent;
+        use df_types::types::NodeStatus;
 
         let mut dag = Dag::new();
         dag.add_node("c".to_string(), Box::new(CancelSelfNode));

crates/df-workflow/src/node.rs

@@ -3,7 +3,7 @@
 use async_trait::async_trait;
 use serde::{Deserialize, Serialize};
 
-use df_core::types::NodeId;
+use df_types::types::NodeId;
 
 use super::eventbus::EventBus;
 use super::state::StateMachine;

crates/df-workflow/src/state.rs

@@ -12,7 +12,7 @@
 use std::collections::HashMap;
 use std::sync::{Arc, Mutex};
 
-use df_core::types::{NodeId, NodeStatus};
+use df_types::types::{NodeId, NodeStatus};
 
 /// 节点状态机
 #[derive(Debug, Clone)]

src-tauri/Cargo.toml

@@ -25,7 +25,7 @@ tracing.workspace = true
 chrono.workspace = true
 
 # 后端 crate
-df-core = { path = "../crates/df-core" }
+df-types = { path = "../crates/df-types" }
 df-storage = { path = "../crates/df-storage" }
 df-workflow = { path = "../crates/df-workflow" }
 df-nodes = { path = "../crates/df-nodes" }

src-tauri/src/commands/ai/audit.rs

@@ -12,7 +12,7 @@ use df_storage::crud::{AiToolExecutionRepo, ProjectRepo};
 use df_storage::db::Database;
 use df_storage::models::AiToolExecutionRecord;
 
-use df_core::types::new_id;
+use df_types::types::new_id;
 
 use crate::state::AppState;
 

src-tauri/src/commands/ai/commands.rs

@@ -8,7 +8,7 @@ use tauri::{AppHandle, Emitter, State};
 use df_ai::provider::ChatMessage;
 // df-ai 重导出 df_ai_core(供下游直接引用 trait/类型);src-tauri 不直接依赖 df-ai-core crate。
 use df_ai::df_ai_core::model::ModelConfig;
-use df_core::types::new_id;
+use df_types::types::new_id;
 use df_storage::models::AiProviderRecord;
 
 use crate::state::AppState;

src-tauri/src/commands/ai/knowledge_inject.rs

@@ -16,7 +16,7 @@ use df_storage::crud::{AiConversationRepo, KnowledgeRepo};
 use df_storage::db::Database;
 use df_storage::models::{AiProviderRecord, KnowledgeRecord};
 
-use df_core::types::new_id;
+use df_types::types::new_id;
 
 use crate::state::{AppState, ExtractTrigger, LlmConcurrency};
 

src-tauri/src/commands/ai/tool_registry.rs

@@ -11,7 +11,7 @@ use df_execute::shell::{execute, ShellRequest};
 use df_storage::db::Database;
 use df_storage::models::{ProjectRecord, TaskRecord, IdeaRecord};
 
-use df_core::types::new_id;
+use df_types::types::new_id;
 
 use crate::commands::now_millis;
 

src-tauri/src/commands/idea.rs

@@ -6,7 +6,7 @@ use serde::Deserialize;
 use tauri::State;
 
 use df_ai::provider::LlmProvider;
-use df_core::types::{new_id, Priority};
+use df_types::types::{new_id, Priority};
 use df_ideas::capture::Idea;
 use df_storage::models::{IdeaRecord, ProjectRecord};
 
@@ -298,7 +298,7 @@ fn record_to_idea(record: &IdeaRecord) -> Idea {
         id: record.id.clone(),
         title: record.title.clone(),
         description: record.description.clone(),
-        status: df_core::types::IdeaStatus::Draft,
+        status: df_types::types::IdeaStatus::Draft,
         priority: priority_from_i32(record.priority),
         scores: None,
         tags,
@@ -309,7 +309,7 @@ fn record_to_idea(record: &IdeaRecord) -> Idea {
     }
 }
 
-/// i32 优先级 → Priority 枚举（与 df-core 枚举值一致：Low=0/Medium=1/High=2/Critical=3）
+/// i32 优先级 → Priority 枚举（与 df-types 枚举值一致：Low=0/Medium=1/High=2/Critical=3）
 fn priority_from_i32(p: i32) -> Priority {
     match p {
         0 => Priority::Low,

src-tauri/src/commands/knowledge.rs

@@ -6,7 +6,7 @@
 use serde::Deserialize;
 use tauri::State;
 
-use df_core::types::new_id;
+use df_types::types::new_id;
 use df_storage::models::{KnowledgeEventRecord, KnowledgeRecord};
 
 use crate::state::{AppState, KnowledgeConfig};

src-tauri/src/commands/knowledge_timeline.rs

@@ -7,7 +7,7 @@
 
 use std::sync::Arc;
 
-use df_core::types::new_id;
+use df_types::types::new_id;
 use df_storage::crud::KnowledgeEventsRepo;
 use df_storage::db::Database;
 use df_storage::models::KnowledgeEventRecord;

src-tauri/src/commands/mod.rs

@@ -13,9 +13,9 @@ pub mod workflow;
 
 /// 当前时间戳（毫秒字符串）— 与 df-storage 内部的时间格式保持一致
 ///
-/// 转发 df_core::now_millis(DRY:时间获取统一入口在此 crate,避免 commands 层与 df-storage 各写一份 SystemTime 调用)。
+/// 转发 df_types::now_millis(DRY:时间获取统一入口在此 crate,避免 commands 层与 df-storage 各写一份 SystemTime 调用)。
 pub(crate) fn now_millis() -> String {
-    df_core::now_millis().to_string()
+    df_types::now_millis().to_string()
 }
 
 /// .map_err 错误格式化统一入口 — 当前行为零变化(仅 e.to_string()),

src-tauri/src/commands/project.rs

@@ -11,7 +11,7 @@ use df_ai::provider::{ChatMessage, CompletionRequest};
 use df_ai::router::{
     select_model_id, IntelligenceTier, Modality, TaskRequirements,
 };
-use df_core::types::new_id;
+use df_types::types::new_id;
 use df_project::scan::{
     collect_sample, detect_stack, discover_projects, extract_description, is_monorepo,
     normalize_path, DiscoveredProject,

src-tauri/src/commands/task.rs

@@ -3,7 +3,7 @@
 use serde::Deserialize;
 use tauri::State;
 
-use df_core::types::{new_id, TaskStatus};
+use df_types::types::{new_id, TaskStatus};
 use df_storage::models::TaskRecord;
 
 use crate::state::AppState;

src-tauri/src/commands/workflow.rs

@@ -7,8 +7,8 @@ use serde::Serialize;
 use tauri::{AppHandle, Emitter, State};
 use tokio::sync::broadcast::error::RecvError;
 
-use df_core::events::{WorkflowEvent, HumanApprovalResponse, SelectType};
-use df_core::types::{new_id, NodeStatus};
+use df_types::events::{WorkflowEvent, HumanApprovalResponse, SelectType};
+use df_types::types::{new_id, NodeStatus};
 use df_nodes::task_advance_node::advance_task_atomic;
 // F-260616-06 ①-1: 空 dag + target_status 时按目标态自动选推进链模板
 use df_nodes::task_workflow_templates::template_for;