新增: 工具工作流补全(diff_files工具 + 技能清单注入 + 工作流进度共享 + human端到端测试 + 知识库MCP工具)

This commit is contained in:
lxy
2026-08-08 21:24:53 +08:00
parent 6ba6daf188
commit 9eb2995a74
14 changed files with 807 additions and 93 deletions
+1
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@@ -196,6 +196,7 @@ mod tests {
fn should_use_namespace_always_large_tool() {
assert!(should_use_namespace("short", "read_file"));
assert!(should_use_namespace("short", "list_directory"));
assert!(should_use_namespace("short", "diff_files"));
}
#[test]
+252 -2
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@@ -15,9 +15,9 @@
// name→id 解析:src-tauri 有机制层解析(audit/mod.rs auto_resolve),MCP 面暂不同步。
use std::sync::{Arc, OnceLock};
use df_storage::crud::{IdeaQuery, IdeaRepo, ProjectQuery, ProjectRepo, TaskQuery, TaskRepo};
use df_storage::crud::{IdeaQuery, IdeaRepo, KnowledgeRepo, ProjectQuery, ProjectRepo, TaskQuery, TaskRepo};
use df_storage::db::Database;
use df_storage::models::{IdeaRecord, ProjectRecord, TaskRecord};
use df_storage::models::{IdeaRecord, KnowledgeRecord, ProjectRecord, TaskRecord};
use df_types::types::{IdeaStatus, ProjectStatus, TaskStatus, new_id};
use futures::future::BoxFuture;
use serde_json::{json, Value};
@@ -123,6 +123,22 @@ pub fn all_tools() -> &'static Vec<&'static ToolSpec> {
spec("score_idea", "评分并写库(Medium 风险+审计日志):对想法做启发式评估,把 scores 写回 DB 并返回更新后的记录", object_schema(json!({"id": str_field("想法 ID"), "expected_updated_at": int_field("乐观锁版本(可空):上次读取到的 updated_at 毫秒时间戳,不一致则拒绝写入")}), &["id"]), Medium, score_idea),
// ─── 工作流(High) ───
spec("run_workflow", "触发工作流——High 风险,默认拒绝,请在 DevFlow 应用内执行", object_schema(json!({"project_id": str_field("项目 ID"), "task_id": opt_str_field("任务 ID(可空)")}), &["project_id"]), High, run_workflow),
// ─── 知识库 ───
spec("search_knowledge", "检索知识库:按关键词 LIKE 匹配 title/content(可选 kind/limit);传 query_embedding 数组则走向量检索(余弦相似度 top-N)", object_schema(json!({
"query": str_field("检索关键词"),
"kind": opt_str_field("知识类型过滤(可空):review_rule/prompt_template/pitfall/architecture_pattern/diagnosis/deployment_note/workflow_optimization"),
"limit": int_field("返回上限(可空,默认 5,上限 10)"),
"query_embedding": json!({ "type": "array", "items": { "type": "number" }, "description": "查询向量(可空,传则走向量检索)" })
}), &["query"]), Low, search_knowledge),
spec("insert_knowledge", "新增知识条目(Medium 风险,默认允许+审计日志;状态恒为 candidate,审核发布后才参与检索)", object_schema(json!({
"kind": str_field("知识类型:review_rule/prompt_template/pitfall/architecture_pattern/diagnosis/deployment_note/workflow_optimization"),
"title": str_field("标题"),
"content": str_field("内容"),
"tags": opt_str_field("标签 JSON 数组字符串(可空)"),
"source_project": opt_str_field("来源项目(可空)"),
"source_ref": opt_str_field("来源引用(可空,如 conv:{id})"),
"confidence": opt_str_field("置信度(可空:high/medium/low)")
}), &["kind", "title", "content"]), Medium, insert_knowledge),
// ─── 回收站 ───
spec("list_trash", "列出回收站(deleted_at IS NOT NULL 的项目与任务)", object_schema(json!({}), &[]), Low, list_trash),
spec("restore_project", "从回收站恢复项目(Medium 风险+审计日志)", object_schema(json!({"id": str_field("项目 ID")}), &["id"]), Medium, restore_project),
@@ -980,6 +996,126 @@ fn restore_project(ctx: &Ctx, args: Value) -> BoxFuture<'static, CallToolResult>
})
}
// ============================================================
// handler 实现 — 知识库(复用 df-storage KnowledgeRepo)
// ============================================================
//
// 分层存储(Tier 2/3:热/温/冷知识分级)需单独设计,本批只接 Tier 1 扁平
// KnowledgeRepo(单表 + 向量列),不引入存储分层。
/// 7 种合法知识类型(对齐 migrations.rs V7 建表注释)。
const KNOWLEDGE_KINDS: &[&str] = &[
"review_rule", "prompt_template", "pitfall", "architecture_pattern",
"diagnosis", "deployment_note", "workflow_optimization",
];
/// 检索知识(Low 只读):默认关键词 LIKE(title/content),可选 kind/limit;
/// 传 query_embedding(数组)则走向量检索(余弦 top-N),返回带相似度。
/// 向量由调用方生成(MCP 无 AI provider 上下文),与 GUI 的 hybrid_search 共用
/// KnowledgeRepo::search_vector,结果一致只做列裁剪。
fn search_knowledge(ctx: &Ctx, args: Value) -> BoxFuture<'static, CallToolResult> {
let db = ctx.db.clone();
let query = match arg_str(&args, "query") {
Ok(v) => v,
Err(r) => return Box::pin(std::future::ready(r)),
};
let kind = args.get("kind").and_then(|v| v.as_str()).map(|s| s.to_owned());
let limit = args
.get("limit")
.and_then(|v| v.as_i64())
.map(|i| i.max(1) as usize)
.unwrap_or(5)
.min(10);
let query_vec: Option<Vec<f32>> = args
.get("query_embedding")
.and_then(|v| v.as_array())
.map(|arr| arr.iter().filter_map(|n| n.as_f64()).map(|f| f as f32).collect());
Box::pin(async move {
let repo = KnowledgeRepo::new(&db);
match query_vec {
Some(vec) => {
if vec.is_empty() {
return CallToolResult::error("query_embedding 不能为空数组");
}
match repo.search_vector(&vec, limit).await {
Ok(hits) => {
let hits: Vec<Value> = hits
.into_iter()
.map(|(rec, score)| json!({
"score": (score * 1000.0).round() / 1000.0,
"knowledge": rec
}))
.collect();
json_ok(json!({ "count": hits.len(), "hits": hits }))
}
Err(e) => err_str(e),
}
}
None => match repo.search(&query, kind.as_deref(), limit).await {
Ok(list) => json_ok(json!({ "count": list.len(), "knowledge": list })),
Err(e) => err_str(e),
},
}
})
}
/// 新增知识条目(Medium 写库):状态恒为 candidate(审核发布后才参与检索,
/// 对齐 GUI knowledge_create 语义),不自动生成嵌入(嵌入由发布链路处理)。
fn insert_knowledge(ctx: &Ctx, args: Value) -> BoxFuture<'static, CallToolResult> {
let db = ctx.db.clone();
let kind = match arg_str(&args, "kind") {
Ok(v) => v,
Err(r) => return Box::pin(std::future::ready(r)),
};
let title = match arg_str(&args, "title") {
Ok(v) => v,
Err(r) => return Box::pin(std::future::ready(r)),
};
let content = match arg_str(&args, "content") {
Ok(v) => v,
Err(r) => return Box::pin(std::future::ready(r)),
};
let tags = args.get("tags").and_then(|v| v.as_str()).map(|s| s.to_owned());
let source_project = args.get("source_project").and_then(|v| v.as_str()).map(|s| s.to_owned());
let source_ref = args.get("source_ref").and_then(|v| v.as_str()).map(|s| s.to_owned());
let confidence = args.get("confidence").and_then(|v| v.as_str()).map(|s| s.to_owned());
medium_audit("insert_knowledge", &title);
Box::pin(async move {
if !KNOWLEDGE_KINDS.contains(&kind.as_str()) {
return CallToolResult::error(format!(
"非法知识类型: {kind}, 有效值: {}",
KNOWLEDGE_KINDS.join("/")
));
}
if title.trim().is_empty() || content.trim().is_empty() {
return CallToolResult::error("title/content 不能为空");
}
let now = now_millis();
let rec = KnowledgeRecord {
id: new_id(),
kind,
title,
content,
tags,
status: "candidate".to_string(),
confidence,
reuse_count: 0,
verified: false,
source_project,
source_ref,
reasoning: None,
embedding_status: None,
created_at: now.clone(),
updated_at: now,
};
let repo = KnowledgeRepo::new(&db);
match repo.insert(rec.clone()).await {
Ok(id) => json_ok(json!({ "id": id, "knowledge": rec })),
Err(e) => err_str(e),
}
})
}
// ============================================================
// 单测:evaluate_idea(只读,不写库)/ score_idea(写库)/ 风险契约
// ============================================================
@@ -1079,6 +1215,30 @@ mod tests {
repo.insert(rec).await.unwrap()
}
/// 插入一条知识,返回 id(search_knowledge 测试用;status=published 才进检索)
async fn seed_knowledge(ctx: &Ctx, title: &str, content: &str, kind: &str) -> String {
let repo = KnowledgeRepo::new(&ctx.db);
let now = now_millis();
let rec = KnowledgeRecord {
id: new_id(),
kind: kind.to_owned(),
title: title.to_owned(),
content: content.to_owned(),
tags: None,
status: "published".to_string(),
confidence: Some("high".to_owned()),
reuse_count: 0,
verified: true,
source_project: None,
source_ref: None,
reasoning: None,
embedding_status: None,
created_at: now.clone(),
updated_at: now,
};
repo.insert(rec).await.unwrap()
}
/// 读当前 DB 中的 idea.scores(原始字符串)
async fn db_scores(ctx: &Ctx, id: &str) -> Option<String> {
IdeaRepo::new(&ctx.db)
@@ -1557,4 +1717,94 @@ mod tests {
let stack = v["project"]["stack"].as_str().unwrap_or_default();
assert!(stack.contains("rust"), "应探测到 rust 技术栈,实际 stack: {stack}");
}
// ── 知识库工具(search_knowledge Low / insert_knowledge Medium)────────────
/// search_knowledge:关键词命中已发布知识,返回记录列表(不写库,只读契约)。
#[tokio::test]
async fn search_knowledge_keyword_returns_hits() {
let ctx = test_ctx().await;
seed_knowledge(&ctx, "Rust 异步模型", "tokio 运行时与并发", "pitfall").await;
let r = search_knowledge(&ctx, json!({ "query": "tokio" })).await;
assert!(r.is_error.is_none(), "{:?}", text_of(&r));
let v = json_of(&r);
assert_eq!(v["count"], 1);
assert_eq!(v["knowledge"][0]["title"], "Rust 异步模型");
}
/// search_knowledge:缺 query 必填参数 → 报错。
#[tokio::test]
async fn search_knowledge_missing_query_errors() {
let ctx = test_ctx().await;
let r = search_knowledge(&ctx, json!({})).await;
assert_eq!(r.is_error, Some(true));
assert!(text_of(&r).contains("缺少必填参数"));
}
/// search_knowledge:传入 query_embedding → 向量检索,返回带 score 的命中。
#[tokio::test]
async fn search_knowledge_vector_with_embedding() {
let ctx = test_ctx().await;
let id = seed_knowledge(&ctx, "Rust 异步", "tokio 并发模型", "pitfall").await;
// 写一条向量(f32 数组,维度 3),search_vector 才能命中
KnowledgeRepo::new(&ctx.db).set_embedding(&id, &[0.1, 0.2, 0.3]).await.unwrap();
let r = search_knowledge(&ctx, json!({
"query": "ignored", // 有 embedding 时 query 仅作占位,检索走向量
"query_embedding": [0.1, 0.2, 0.3]
})).await;
assert!(r.is_error.is_none(), "{:?}", text_of(&r));
let v = json_of(&r);
assert_eq!(v["count"], 1);
assert!(v["hits"][0]["score"].is_number());
assert_eq!(v["hits"][0]["knowledge"]["id"], id);
}
/// insert_knowledge:创建成功,状态恒 candidate(待审核),DB 可读回。
#[tokio::test]
async fn insert_knowledge_creates_candidate() {
let ctx = test_ctx().await;
let r = insert_knowledge(&ctx, json!({
"kind": "pitfall",
"title": "MCP 超时",
"content": "审批响应须带 execution_id 匹配",
"tags": "[\"mcp\",\"workflow\"]"
})).await;
assert!(r.is_error.is_none(), "{:?}", text_of(&r));
let v = json_of(&r);
let id = v["id"].as_str().unwrap().to_string();
assert_eq!(v["knowledge"]["status"], "candidate");
assert_eq!(v["knowledge"]["reuse_count"], 0);
let persisted = KnowledgeRepo::new(&ctx.db).get_by_id(&id).await.unwrap();
assert!(persisted.is_some(), "DB 应能读回新建知识");
assert_eq!(persisted.unwrap().status, "candidate");
}
/// insert_knowledge:非法 kind / 空 title → 报错(不落库)。
#[tokio::test]
async fn insert_knowledge_invalid_input_errors() {
let ctx = test_ctx().await;
let bad_kind = insert_knowledge(&ctx, json!({ "kind": "nope", "title": "t", "content": "c" })).await;
assert_eq!(bad_kind.is_error, Some(true));
assert!(text_of(&bad_kind).contains("非法知识类型"));
let empty_title = insert_knowledge(&ctx, json!({ "kind": "pitfall", "title": " ", "content": "c" })).await;
assert_eq!(empty_title.is_error, Some(true));
assert!(text_of(&empty_title).contains("不能为空"));
}
/// 风险契约:search_knowledge=Low(只读,read-only 放行),insert_knowledge=Medium(写库,read-only 拒)。
#[test]
fn knowledge_tools_risk_contract() {
let search = find("search_knowledge").expect("search_knowledge 必须注册");
let insert = find("insert_knowledge").expect("insert_knowledge 必须注册");
assert_eq!(search.risk, RiskLevel::Low, "search_knowledge 必须 Low(只读契约)");
assert_eq!(insert.risk, RiskLevel::Medium, "insert_knowledge 必须 Medium(写库 → read-only 拒)");
assert!(visible_for_test(true, "search_knowledge"));
assert!(!visible_for_test(true, "insert_knowledge"));
assert!(visible_for_test(false, "search_knowledge"));
assert!(visible_for_test(false, "insert_knowledge"));
}
}
+235
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@@ -0,0 +1,235 @@
//! human 节点端到端集成测试 — DagDef → NodeRegistry.build_dag → DagExecutor.run
//!
//! df-workflow 不依赖 df-nodes(反向依赖),此处用等价阻塞节点模拟 HumanNode 的
//! 「发审批请求 → 挂起等待 → 外部 approve → 返回结果」链路,覆盖
//! DagDef 序列化 → 注册表 → 执行器全链路 + 事件序列断言(R6 send 缺 await /
//! R7 契约失配的存活土壤)。
use std::time::Duration;
use async_trait::async_trait;
use serde_json::json;
use df_types::events::{SelectType, WorkflowEvent};
use df_types::types::NodeStatus;
use df_workflow::dag_def::DagDef;
use df_workflow::eventbus::{EventBus, EventSubscriber};
use df_workflow::executor::DagExecutor;
use df_workflow::node::{Node, NodeContext, NodeOutput, NodeResult, NodeSchema};
use df_workflow::registry::NodeRegistry;
/// 前驱节点:sleep 后返回空输出(仿 executor 单测 SleepNode)。
struct SleepNode {
sleep_ms: u64,
}
#[async_trait]
impl Node for SleepNode {
async fn execute(&self, _ctx: NodeContext) -> NodeResult {
tokio::time::sleep(Duration::from_millis(self.sleep_ms)).await;
Ok(NodeOutput::empty())
}
fn schema(&self) -> NodeSchema {
NodeSchema {
params: json!(null),
output: json!(null),
}
}
fn node_type(&self) -> &str {
"sleep"
}
}
/// 模拟 HumanNode 的阻塞审批节点:先 subscribe 再发 HumanApprovalRequest(broadcast 不回放),
/// select! 等待匹配 execution_id + node_id 的 HumanApprovalResponse,收到则返回 decision。
struct ApprovalNode;
#[async_trait]
impl Node for ApprovalNode {
async fn execute(&self, ctx: NodeContext) -> NodeResult {
let mut rx = ctx.event_bus.subscribe();
let _ = ctx
.event_bus
.send(WorkflowEvent::HumanApprovalRequest {
execution_id: ctx.execution_id.clone(),
node_id: ctx.node_id.clone(),
title: "确认发布".to_string(),
description: String::new(),
options: vec!["同意".into(), "拒绝".into()],
select_type: SelectType::Single,
})
.await;
let timeout_secs = ctx
.config
.get("timeout_secs")
.and_then(|v| v.as_u64())
.unwrap_or(2);
let deadline = tokio::time::Instant::now() + Duration::from_secs(timeout_secs);
loop {
tokio::select! {
recv = rx.recv() => match recv {
Ok(WorkflowEvent::HumanApprovalResponse {
execution_id, node_id, decision, decisions, ..
}) if execution_id == ctx.execution_id && node_id == ctx.node_id => {
let primary = if decision.is_empty() {
decisions.first().cloned().unwrap_or_default()
} else {
decision
};
return Ok(NodeOutput::from_value(json!({ "decision": primary })));
}
Ok(_) => continue,
Err(_) => return Err(anyhow::anyhow!("事件总线关闭,审批无法完成")),
},
_ = tokio::time::sleep_until(deadline) => {
return Err(anyhow::anyhow!("人工审批等待超时({timeout_secs}s)"));
}
}
}
}
fn schema(&self) -> NodeSchema {
NodeSchema {
params: json!(null),
output: json!(null),
}
}
fn is_blocking(&self) -> bool {
true
}
fn node_type(&self) -> &str {
"human"
}
}
/// 从事件流中等待一条 HumanApprovalRequest(跳过 NodeStarted/NodeCompleted 等其他事件)。
async fn wait_approval_request(mut rx: EventSubscriber) -> WorkflowEvent {
tokio::time::timeout(Duration::from_millis(1000), async move {
loop {
if let Ok(ev @ WorkflowEvent::HumanApprovalRequest { .. }) = rx.recv().await {
return ev;
}
}
})
.await
.expect("应收到 HumanApprovalRequest,实际超时")
}
/// 端到端主链路:前驱 sleep(a) → human(b)。
/// 执行到 human 后挂起等审批 → 外部 approve(模拟 approve_human_approval IPC) → 返回结果、工作流完成。
#[tokio::test]
async fn human_workflow_end_to_end_approval() {
let bus = EventBus::new();
let rx = bus.subscribe(); // 先 subscribe 再执行(broadcast 不回放)
let exec_id = "exec-e2e-approve";
// DagDef(可序列化定义)→ NodeRegistry.build_dag → 运行时 Dag
let mut def = DagDef::new();
def.add_node("a", "sleep", json!({}));
def.add_node("b", "human", json!({}));
def.add_edge("a", "b");
let mut registry = NodeRegistry::new();
registry.register("sleep", |_| Box::new(SleepNode { sleep_ms: 10 }));
registry.register("human", |_| Box::new(ApprovalNode));
let dag = registry.build_dag(&def).expect("build_dag 应成功");
let mut executor = DagExecutor::new(bus.clone(), exec_id.into());
let sm = executor.state_machine(); // 共享状态机(spawn 后仍可读)
let run_handle = tokio::spawn(async move { executor.run(&dag, json!({})).await });
// a 层完成、b 层 human subscribe + send Request 后应收到审批请求
let request = wait_approval_request(rx).await;
match request {
WorkflowEvent::HumanApprovalRequest {
node_id, title, options, ..
} => {
assert_eq!(node_id, "b");
assert_eq!(title, "确认发布");
assert_eq!(options, vec!["同意".to_string(), "拒绝".to_string()]);
}
other => panic!("期望 HumanApprovalRequest,收到 {:?}", other),
}
// 外部 approve(模拟 approve_human_approval IPC 发送 HumanApprovalResponse 到总线)
bus.send(WorkflowEvent::HumanApprovalResponse {
execution_id: exec_id.into(),
node_id: "b".to_string(),
decision: "同意".into(),
decisions: vec![],
comment: Some("可以发布".into()),
})
.await;
let outputs = run_handle
.await
.expect("run 不应 panic")
.expect("run 应成功");
assert!(outputs.contains_key("a"), "outputs 应含前驱节点 a");
assert_eq!(outputs["b"].data["decision"], json!("同意"));
assert_eq!(sm.get(&"a".to_string()), NodeStatus::Completed);
assert_eq!(sm.get(&"b".to_string()), NodeStatus::Completed);
}
/// 取消路径:外部 set_cancelled(模拟 cancel_workflow_node IPC 写共享状态机)
/// → human select! 轮询 is_cancelled → Err → 状态保持 Cancelled。
#[tokio::test]
async fn human_workflow_cancel_via_shared_state_machine() {
let bus = EventBus::new();
let rx = bus.subscribe();
let exec_id = "exec-e2e-cancel";
let mut def = DagDef::new();
def.add_node("h", "human", json!({}));
let mut registry = NodeRegistry::new();
registry.register("human", |_| Box::new(ApprovalNode));
let dag = registry.build_dag(&def).expect("build_dag 应成功");
let mut executor = DagExecutor::new(bus.clone(), exec_id.into());
let sm = executor.state_machine();
let run_handle = tokio::spawn(async move { executor.run(&dag, json!({})).await });
// 等 human 发出审批请求(确认已 subscribe + send + 进入 select! 轮询)
let _ = wait_approval_request(rx).await;
// 外部 cancel:写共享状态机置 Cancelled,humar select! 的 cancel_tick 会读到
sm.set_cancelled("h".to_string());
let result = run_handle.await.unwrap();
assert!(result.is_err(), "取消应致 run 返回 Err");
let err = result.unwrap_err().to_string();
assert!(
err.contains("取消") || err.contains("执行失败"),
"应返回取消相关错误,实际: {err}"
);
// 状态保持 Cancelled(未被 set_failed 覆盖为 Failed)—— 取消终态不被失败语义覆盖
assert_eq!(sm.get(&"h".to_string()), NodeStatus::Cancelled);
}
/// 挂起等待路径:收到请求后不 approve → human 挂起直到超时 → run 返 Err。
/// 证明节点真在等待外部响应(而非空转直接返回)。
#[tokio::test]
async fn human_workflow_waits_then_times_out_without_approve() {
let bus = EventBus::new();
let rx = bus.subscribe();
let exec_id = "exec-e2e-timeout";
let mut def = DagDef::new();
def.add_node("h", "human", json!({ "timeout_secs": 1 }));
let mut registry = NodeRegistry::new();
registry.register("human", |_| Box::new(ApprovalNode));
let dag = registry.build_dag(&def).expect("build_dag 应成功");
let mut executor = DagExecutor::new(bus.clone(), exec_id.into());
let run_handle = tokio::spawn(async move { executor.run(&dag, json!({})).await });
let _ = wait_approval_request(rx).await;
let result = run_handle.await.unwrap();
assert!(result.is_err(), "无审批响应应超时失败");
// executor 包了「节点 h 执行失败」context,用 {:#} 展开整条错误链断言根因
let chain = format!("{:#}", result.unwrap_err());
assert!(chain.contains("超时"), "应返回超时错误,实际: {chain}");
}
+56
View File
@@ -151,6 +151,23 @@ pub const GOAL_MAX_CHARS: usize = 500;
/// 防无限膨胀:每次发消息提取的目标追加到 pinned_goals vec,超上限时淘汰最早目标。
pub const MAX_GOALS: usize = 5;
/// 技能清单注入开关:system_prompt 是否追加本机技能清单(名称+描述),让 LLM 感知可用技能(默认 true)。
///
/// 机制化:LLM 只读清单,用户请求命中某技能用途时能引导触发(/技能名),不做复杂执行逻辑。
/// 清单来自 skills.rs 进程内缓存(skills/commands/plugins 三类去重)。false(回退)→ 整块跳过,
/// system_prompt 零变化,退回改动前行为(单点回退,不影响 augmentation 的 / 联想)。
pub const SKILL_LIST_INJECT_ENABLED: bool = true;
/// 技能清单注入最大条数(默认 20)。
///
/// 防本机大量技能全量进 system_prompt 占 sys_tokens 预算;取前 N 条(name 去重序),截断描述。
pub const SKILL_LIST_MAX_ITEMS: usize = 20;
/// 技能清单单条描述截断长度(默认 80 字符)。
///
/// 清单只做提示,截断防长描述(部分技能 description 数百字)撑爆 prompt,截断后接省略号。
pub const SKILL_DESC_MAX_CHARS: usize = 80;
/// G4 目标感知降级:话题标记 insert 当 pinned_goals 存在时跳过(默认 true)。
///
/// 治 R2(话题标记反向误导):G1 目标钉扎生效后每轮 system_prompt 已含目标,topic marker 的
@@ -1044,6 +1061,45 @@ pub(crate) async fn run_agentic_loop(
);
system_prompt = format!("{}\n\n{}\n\n{}", system_prompt, env_prompt, behavior_prompt);
// 技能清单注入:把本机扫描到的技能(名称+描述)追加到 system_prompt,让 LLM 感知可用技能。
//
// 治「AI 不知道有技能可引导」:skills.rs 联想已做(前端 / 浮层),但 AI 本身对技能无感知,
// 用户需求命中某技能(如"发布flux")时 AI 不会引导。机制化——只注入清单(不执行技能逻辑,
// 执行仍由用户在 Claude Code 侧 / 技能名 触发),LLM 据此提示用户可用技能。
// 清单来自 skills_cached() 进程内缓存(懒扫描一次,后续零开销);截断条数+描述防占预算。
if SKILL_LIST_INJECT_ENABLED {
let skills = crate::commands::ai::skills::skills_cached().await;
if !skills.is_empty() {
let lines: Vec<String> = skills
.iter()
.take(SKILL_LIST_MAX_ITEMS)
.map(|s| {
let desc_flat = s.description.replace('\n', " ");
let desc: String = desc_flat.chars().take(SKILL_DESC_MAX_CHARS).collect();
let desc = if desc_flat.chars().count() > SKILL_DESC_MAX_CHARS {
format!("{}", desc)
} else {
desc
};
format!("- {}: {}", s.name, desc)
})
.collect();
if !lines.is_empty() {
system_prompt = format!(
"{}\n\n## 可用技能\n以下为本机 Claude 技能/命令(名称: 描述)。用户请求命中某技能用途时,提示用户输入 /技能名 触发,或引导其按需使用:\n{}",
system_prompt,
lines.join("\n")
);
tracing::debug!(
conv_id = %conv_id,
count = lines.len(),
"[ai] 技能清单注入:已追加 {} 条技能到 system_prompt",
lines.len()
);
}
}
}
// T4: 工作流 DAG 注入 — 当会话关联工作流时,将活跃路径注入 system prompt
{
let session = session_arc.lock().await;
+10 -5
View File
@@ -1365,15 +1365,18 @@ mod tests {
// list_module_dependencies/add_module_dependency/remove_module_dependency,扩展 tools/task_graph.rs,
// 复用 module.rs CRUD 逻辑;delete_module 级联清理依赖边防外键约束)。
// 72 = 42 data + 14 file + 1 http + 1 fetch_url + 1 fetch_search + 1 generate_image + 1 get_app_config + 11 local_proxy。
// diff_files(2026-08-08): file 层 14→15(新增任意两文件内容对比,只读 Low,
// 补 git_diff 仅仓库内缺口;复用 generate_diff LCS unified diff;namespace ALWAYS_LARGE_TOOLS 既有引用生效)。
// 73 = 42 data + 15 file + 1 http + 1 fetch_url + 1 fetch_search + 1 generate_image + 1 get_app_config + 11 local_proxy。
assert_eq!(
registry.len(),
72,
"工具总数应为 72(42 data + 14 file + 1 http + 1 fetch_url + 1 fetch_search + 1 generate_image + 1 get_app_config + 11 local_proxy),实际 {}", registry.len()
73,
"工具总数应为 73(42 data + 15 file + 1 http + 1 fetch_url + 1 fetch_search + 1 generate_image + 1 get_app_config + 11 local_proxy),实际 {}", registry.len()
);
// 工具名集合基线:防 rename / 漏注册 / 误删除。
// data 层 42 个(持 db):CRUD/状态机/工作流/知识图谱任务关联 + 项目事件流 + 基础设施配置 + git 工具 + 工程模块写工具
// file 层 14 个(不持 db):命令/读/列/写/改/元/追加/删/移/搜/grep/环境探测/符号解析/下载
// file 层 15 个(不持 db):命令/读/列/写/改/元/追加/删/移/搜/grep/环境探测/符号解析/下载/对比
// http 层 1 个(不持 db):http_request
let mut expected: Vec<&str> = vec![
// ── data 层 (42) ──
@@ -1400,16 +1403,18 @@ mod tests {
"git_status", "git_diff", "git_log",
// Git 写工具
"git_commit", "git_branch", "git_merge",
// ── file 层 (14) ──(run_command 注册顺序已移至末位降低 LLM 偏好,
// ── file 层 (15) ──(run_command 注册顺序已移至末位降低 LLM 偏好,
// 集合断言经 sort 后与顺序无关,仅守护工具名不漂移。grep 新增 F-260621;
// detect_environment 新增 L1 环境感知 设计 §2.1;read_symbol 新增 AST 代码智能;
// download_file 新增跨平台 URL→文件流式下载)
// download_file 新增跨平台 URL→文件流式下载;diff_files 新增任意两文件对比
"read_file", "read_symbol", "list_directory", "write_file",
"patch_file", "file_info", "append_file",
"delete_file", "rename_file", "search_files", "run_command",
"grep", "detect_environment",
// download_file(URL→文件流式下载,写文件需 allowed_dirs,注册在 register_file_tools)
"download_file",
// diff_files(任意两文件内容对比,只读 Low,补 git_diff 仅仓库内缺口)
"diff_files",
// ── http 层 (1) ──
"http_request",
// ── fetch_url 层 (1) ──(URL → markdown 文档嗅探,只读 GET,与 http_request 分工)
+72
View File
@@ -259,6 +259,46 @@ pub fn register(
}
);
// ── diff_files (Low 只读, 任意两文件对比) ──
// 补 git_diff 缺口:git_diff 只比仓库内版本,本工具对比任意两文件(绝对路径),
// 复用 generate_diff(LCS unified diff)生成差异,只读无副作用。
declare_tool!(
registry,
allowed_dirs: Arc<RwLock<AllowedDirs>>,
"diff_files",
"对比任意两个文件的差异,返回 unified diff(+/- 行前缀,基于 LCS)。参数 path_a/path_b 为两文件绝对路径,均须在授权目录内。只读无副作用,用于两文件/两版本内容对比(git_diff 仅仓库内,本工具补任意两文件缺口)",
RiskLevel::Low,
schema: object_schema(vec![("path_a", "string", true), ("path_b", "string", true)]),
args => {
let snap = allowed_dirs.read().await.clone();
let a_resolved = resolve_workspace_path_with_allowed(
args["path_a"].as_str().ok_or_else(|| anyhow::anyhow!("缺少 path_a 参数"))?,
&snap,
)?;
let b_resolved = resolve_workspace_path_with_allowed(
args["path_b"].as_str().ok_or_else(|| anyhow::anyhow!("缺少 path_b 参数"))?,
&snap,
)?;
let a_path = a_resolved.to_str().ok_or_else(|| anyhow::anyhow!("path_a 含非法字符"))?.to_string();
let b_path = b_resolved.to_str().ok_or_else(|| anyhow::anyhow!("path_b 含非法字符"))?.to_string();
if a_path == b_path {
anyhow::bail!("两个路径相同,无需对比: {}", a_path);
}
// 读取两文件文本(1MB 上限 + 二进制拦截,解码对齐 read_file 的 UTF-16 BOM 优先)
let (content_a, size_a) = read_text_file(&a_path).await?;
let (content_b, size_b) = read_text_file(&b_path).await?;
let diff = generate_diff(&content_a, &content_b);
Ok(serde_json::json!({
"path_a": a_path,
"path_b": b_path,
"size_a": size_a,
"size_b": size_b,
"identical": content_a == content_b,
"diff": diff,
}))
}
);
// ── list_directory (Low 只读) ──
declare_tool!(
registry,
@@ -1232,6 +1272,38 @@ pub fn register(
);
}
// ============================================================
// diff_files 辅助 — 读取文本文件内容(两文件对比共用)
// ============================================================
/// 读取文本文件内容,返回 (内容, 字节数)。
///
/// diff_files 两文件对比共用:1MB 上限 + 二进制拦截 + UTF-16 BOM 优先解码
/// (复用 decode_bytes_to_string,对齐 read_file/patch_file 的读取语义,单真相源)。
async fn read_text_file(path: &str) -> anyhow::Result<(String, u64)> {
use tokio::fs::File;
use tokio::io::AsyncReadExt;
let mut file = File::open(path).await
.map_err(|e| {
if e.kind() == std::io::ErrorKind::NotFound {
anyhow::anyhow!("文件不存在: {}", path)
} else {
anyhow::anyhow!("无法访问文件 {}: {}", path, e)
}
})?;
let metadata = file.metadata().await
.map_err(|e| anyhow::anyhow!("读取元数据失败 {}: {}", path, e))?;
if metadata.len() > 1_048_576 {
anyhow::bail!("文件超过 1MB 限制 ({} 字节)", metadata.len());
}
let mut raw_bytes = Vec::with_capacity(metadata.len() as usize);
file.read_to_end(&mut raw_bytes).await
.map_err(|e| anyhow::anyhow!("读取文件失败: {}", e))?;
let content = decode_bytes_to_string(&raw_bytes)
.map_err(|_| anyhow::anyhow!("文件非 UTF-8 文本(疑似二进制),无法对比: {}", path))?;
Ok((content, metadata.len()))
}
// ============================================================
// patch_file 失败提示辅助 — old_text 不匹配时给 LLM 相近锚点
// ============================================================
+3
View File
@@ -288,6 +288,9 @@ export interface WorkflowEventPayload {
}
}
/** 工作流 DAG 节点实时状态(WorkflowDagDisplay 高亮 + workflow store 共享推导) */
export type NodeStatus = 'pending' | 'running' | 'completed' | 'failed' | 'skipped'
// ============================================================
// 通用
// ============================================================
@@ -65,6 +65,8 @@
<script setup lang="ts">
import { ref, computed, nextTick } from 'vue'
import type { NodeStatus } from '@/api/types'
export type { NodeStatus }
interface DagNode {
id: string
@@ -76,7 +78,6 @@ interface EdgeDef {
target: string
condition?: string | null
}
export type NodeStatus = 'pending' | 'running' | 'completed' | 'failed' | 'skipped'
const props = withDefaults(defineProps<{
dagJson: string
+2
View File
@@ -35,6 +35,8 @@ export default {
emptyTasks: 'No tasks yet',
// Workflow log panel
workflowLogTitle: '📋 Workflow Log',
// B-41 workflow progress panel
workflowProgressTitle: '📈 Workflow Progress',
runDemoWorkflow: '▶ Run Demo Workflow',
emptyWorkflowLog: 'Click "Run Demo Workflow" to view live logs',
// Approval dialog
+2
View File
@@ -35,6 +35,8 @@ export default {
emptyTasks: '暂无任务',
// 工作流日志面板
workflowLogTitle: '📋 工作流日志',
// B-41 工作流实时进度面板
workflowProgressTitle: '📈 工作流实时进度',
runDemoWorkflow: '▶ 运行测试工作流',
emptyWorkflowLog: '点击"运行测试工作流"查看实时日志',
// 审批对话框
+2
View File
@@ -168,6 +168,8 @@ function createStore() {
startEventListener: workflowStore.startEventListener,
stopEventListener: workflowStore.stopEventListener,
clearLiveEvents: workflowStore.clearLiveEvents,
// B-41: 工作流进度共享推导(按 execId 派生节点状态/进度)
workflowProgress: workflowStore.workflowProgress,
approveHumanApproval: workflowStore.approveHumanApproval,
cancelHumanApproval: workflowStore.cancelHumanApproval,
// AR-11(方案A):数据变更联动刷新监听(后端工具执行后 emit df-data-changed)
+81
View File
@@ -1,7 +1,79 @@
import { workflowApi } from '@/api'
import { t } from '@/i18n/i18n-helpers'
import type { NodeStatus, WorkflowEventPayload } from '@/api/types'
import { state, _eventUnlisten, setEventUnlisten } from './state'
// B-41: 工作流进度共享推导。liveEvents 已全局收集所有 workflow-event,
// 此处按 execution_id 重放派生节点状态/进度,供 TaskDetail/ProjectDetail 同源使用,
// 替代各自维护一份 onEvent 累加状态(单事实源,并发工作流互不干扰)。
export interface WorkflowProgress {
nodeStatuses: Record<string, NodeStatus>
runningNode: string
doneCount: number
totalNodes: number
result: 'completed' | 'failed' | null
}
function deriveWorkflowProgress(
execId: string | null,
events: WorkflowEventPayload[],
): WorkflowProgress {
const empty: WorkflowProgress = {
nodeStatuses: {},
runningNode: '',
doneCount: 0,
totalNodes: 0,
result: null,
}
if (!execId) return empty
const nodeStatuses: Record<string, NodeStatus> = {}
let runningNode = ''
let doneCount = 0
let totalNodes = 0
let result: 'completed' | 'failed' | null = null
for (const payload of events) {
if (payload.execution_id !== execId) continue
const evt = payload.event
switch (evt.type) {
case 'node_started': {
const node = String(evt.node_id ?? '')
if (node) {
nodeStatuses[node] = 'running'
runningNode = node
}
// 后端模板节点数前端无法预知,用「已启动 + 已完成」近似 total
totalNodes = Math.max(totalNodes, doneCount + 1)
break
}
case 'node_completed': {
if (runningNode) nodeStatuses[runningNode] = 'completed'
runningNode = ''
doneCount += 1
break
}
case 'node_failed': {
const node = String(evt.node_id ?? '')
if (node) nodeStatuses[node] = 'failed'
break
}
case 'node_cancelled': {
const node = String(evt.node_id ?? '')
if (node) nodeStatuses[node] = 'skipped'
break
}
case 'workflow_completed':
result = 'completed'
break
case 'workflow_failed':
result = 'failed'
break
default:
break
}
}
return { nodeStatuses, runningNode, doneCount, totalNodes, result }
}
// B-03b-R10(⑦ 互斥): 审批响应/取消 IPC 进行中标记(模块级单例,createWorkflowStore 每会话只跑一次)。
// 防双击/连点在同一轮 IPC 未返回前发起第二次(后端无幂等键,第二次会重复消费 Request 触发
// "node already completed" 类报错)。store 层守卫优于按钮 disabled: 共享单例 state,跨调用方统一。
@@ -77,6 +149,14 @@ export function createWorkflowStore() {
state.liveEvents = []
}
/**
* B-41: execution_id ( liveEvents,)
* TaskDetail( execId)/ ProjectDetail()
*/
function workflowProgress(execId: string | null): WorkflowProgress {
return deriveWorkflowProgress(execId, state.liveEvents)
}
/**
*
*
@@ -165,6 +245,7 @@ export function createWorkflowStore() {
startEventListener,
stopEventListener,
clearLiveEvents,
workflowProgress,
approveHumanApproval,
cancelHumanApproval,
}
+56 -7
View File
@@ -310,6 +310,22 @@
</section>
</div>
<!-- B-41 工作流实时进度:最近一次执行的 DAG + 节点状态高亮(共享 workflow store 派生) -->
<section v-if="hasWfProgress" class="panel wf-progress-panel">
<div class="panel-header">
<h2>{{ $t('projectDetail.workflowProgressTitle') }}</h2>
</div>
<div class="wf-progress">
<span v-if="wfProgress.runningNode">{{ $t('taskDetail.workflowStepRunning', { node: wfProgress.runningNode }) }}</span>
<span v-else-if="wfProgress.doneCount > 0" class="wf-progress-count">
{{ $t('taskDetail.workflowStepsProgress', { done: wfProgress.doneCount, total: wfProgress.totalNodes }) }}
</span>
<span v-if="wfProgress.result === 'completed'" class="wf-progress-hint">{{ $t('taskDetail.workflowCompletedHint') }}</span>
<span v-if="wfProgress.result === 'failed'" class="wf-progress-hint wf-progress-hint-fail">{{ $t('taskDetail.workflowFailedHint') }}</span>
</div>
<WorkflowDagDisplay v-if="wfDagJson" :dag-json="wfDagJson" :node-statuses="wfProgress.nodeStatuses" />
</section>
<!-- 工作流日志:无记录时折叠为摘要(标题 + 计数),有记录才展开列表 -->
<section v-if="formattedEvents.length > 0 || !workflowLogCollapsed" class="panel workflow-log-panel">
<div class="panel-header">
@@ -396,7 +412,7 @@ import { useI18n } from 'vue-i18n'
import { Message } from '@arco-design/web-vue'
import { open } from '@tauri-apps/plugin-dialog'
import { useProjectStore } from '@/stores/project'
import { projectApi, taskApi } from '@/api'
import { projectApi, taskApi, workflowApi } from '@/api'
import { moduleApi, type ProjectModuleRecord } from '@/api/module'
import { formatDate } from '@/utils/time'
import { parseStack } from '@/utils/project'
@@ -406,6 +422,7 @@ import ConfirmDialog from '@/components/ConfirmDialog.vue'
import ApprovalDialog from '@/components/project/ApprovalDialog.vue'
import FileExplorer from '@/components/project/FileExplorer.vue'
import DependencyGraph from '@/components/project/DependencyGraph.vue'
import WorkflowDagDisplay from '@/components/workflow/WorkflowDagDisplay.vue'
import { useConfirm } from '@/composables/useConfirm'
import { useRendered } from '@/composables/useMarkdown'
import type { ProjectId, TaskRecord } from '@/api/types'
@@ -416,7 +433,6 @@ const store = useProjectStore()
const { t, locale } = useI18n()
const logListRef = ref<HTMLElement | null>(null)
const showApprovalDialog = ref(false)
let unlisten: (() => void) | null = null
// Tab :(//) vs (Batch 10)
// P1-g+ 10:activeTab localStorage(,)
@@ -672,6 +688,26 @@ const formattedEvents = computed<LogEntry[]>(() => {
})
})
// B-41
// ProjectDetail ,/ liveEvents;
// DAG + ( workflow store , TaskDetail ),
// ()
const wfDagJson = ref('')
const latestWfExecId = computed(() => {
const evs = store.liveEvents
return evs.length > 0 ? evs[evs.length - 1].execution_id : null
})
const wfProgress = computed(() => store.workflowProgress(latestWfExecId.value))
const hasWfProgress = computed(() => Object.keys(wfProgress.value.nodeStatuses).length > 0)
watch(latestWfExecId, async (id) => {
wfDagJson.value = ''
if (!id) return
try {
const record = await workflowApi.getExecution(id)
if (record?.dag_json) wfDagJson.value = record.dag_json
} catch { /* 静默 */ }
}, { immediate: true })
//
const showNewTaskModal = ref(false)
const newTaskTitle = ref('')
@@ -822,7 +858,7 @@ onMounted(async () => {
// : idea_id store.ideas ( load ),
// sourceIdea computed
await store.loadIdeas()
unlisten = await store.startEventListener()
await store.startEventListener()
await checkPath()
})
@@ -838,10 +874,9 @@ watch(projectId, async (newId) => {
watch(() => currentProject.value?.path, () => { checkPath() })
onUnmounted(() => {
if (unlisten) {
unlisten()
unlisten = null
}
// store.stopEventListener ( unlisten()
// _eventUnlisten, startEventListener ,)
store.stopEventListener()
})
</script>
@@ -1205,6 +1240,20 @@ onUnmounted(() => {
}
.workflow-log-panel { flex: 0 0 auto; }
/* B-41 工作流实时进度面板(与 TaskDetail wf-progress 同款视觉) */
.wf-progress-panel { flex: 0 0 auto; }
.wf-progress {
display: flex;
flex-direction: column;
gap: 2px;
margin-top: 6px;
font-size: 12px;
color: var(--df-text-secondary);
}
.wf-progress-count { color: var(--df-text-dim); }
.wf-progress-hint { color: var(--df-success); }
.wf-progress-hint-fail { color: var(--df-danger); }
/* ===== 面板 ===== */
/* .panel / .panel-header 基础样式已收敛至全局 components.css(DRY 收口 B-260619),
此处仅保留本组件特有 .task-count */
+33 -78
View File
@@ -237,6 +237,7 @@ import { useRoute, useRouter } from 'vue-router'
import { listen } from '@tauri-apps/api/event'
import { taskApi, projectApi, ideaApi } from '@/api'
import { workflowApi } from '@/api'
import { useProjectStore } from '@/stores/project'
import { formatDate } from '@/utils/time'
import { useRendered } from '@/composables/useMarkdown'
import {
@@ -245,14 +246,15 @@ import {
priorityLabel,
priorityClass,
} from '../constants/project'
import type { TaskRecord, ProjectRecord, IdeaRecord, DfDataChangedPayload, WorkflowEventPayload } from '@/api/types'
import type { TaskRecord, ProjectRecord, IdeaRecord, DfDataChangedPayload } from '@/api/types'
import TaskOutputCard from '@/components/task/TaskOutputCard.vue'
import WorkflowDagDisplay from '@/components/workflow/WorkflowDagDisplay.vue'
import type { NodeStatus } from '@/components/workflow/WorkflowDagDisplay.vue'
const { t } = useI18n()
const route = useRoute()
const router = useRouter()
// B-41: workflow store(liveEvents + workflowProgress )
const store = useProjectStore()
const loading = ref(true)
const errorMsg = ref('')
@@ -386,32 +388,47 @@ async function confirmSubtask() {
// F-260616-06 -1 / B-41 ( advance advancing ,)
// ------------------------------------------------------------
// wfAdvancing:;wfExecId: ID( workflow-event);
// wfTotalNodes/wfDoneCount/wfRunningNode:( NodeStarted/NodeCompleted);
// wfTotalNodes/wfDoneCount/wfRunningNode:( store execId );
// wfResult: 'completed' | 'failed' | null ,/()
const wfAdvancing = ref(false)
const wfExecId = ref<string | null>(null)
const wfTotalNodes = ref(0)
const wfDoneCount = ref(0)
const wfRunningNode = ref<string>('')
const wfResult = ref<'completed' | 'failed' | null>(null)
// SW-260618-21: timer , ref( Projects.vue _toastTimer )
let _wfResultTimer: ReturnType<typeof setTimeout> | null = null
// B-41: workflow store liveEvents, execId
// /, ProjectDetail (store.workflowProgress), onEvent
const wfProgress = computed(() => store.workflowProgress(wfExecId.value))
const wfNodeStatuses = computed(() => wfProgress.value.nodeStatuses)
const wfDoneCount = computed(() => wfProgress.value.doneCount)
const wfTotalNodes = computed(() => wfProgress.value.totalNodes)
const wfRunningNode = computed(() => wfProgress.value.runningNode)
const wfDoneTotal = computed(() => wfTotalNodes.value)
const wfProgressHint = computed(() => wfResult.value !== null)
const wfCompletedHint = computed(() => wfResult.value === 'completed')
const wfFailedHint = computed(() => wfResult.value === 'failed')
// DAG
// : result wfAdvancing + 3s wfResult( UI hint,)
watch(() => wfProgress.value.result, (r) => {
if (!r) return
wfResult.value = r
wfAdvancing.value = false
if (_wfResultTimer) clearTimeout(_wfResultTimer)
_wfResultTimer = setTimeout(() => {
if (wfResult.value === r) wfResult.value = null
_wfResultTimer = null
}, 3000)
})
// DAG (,)
const wfDagJson = ref('')
const wfNodeStatuses = ref<Record<string, NodeStatus>>({})
async function refreshWorkflowDag(execId: string) {
wfNodeStatuses.value = {}
try {
const record = await workflowApi.getExecution(execId)
if (record?.dag_json) wfDagJson.value = record.dag_json
} catch { /* 静默 */ }
}
const wfDoneTotal = computed(() => wfTotalNodes.value)
const taskId = computed(() => route.params.id as string)
@@ -568,9 +585,6 @@ async function handleWorkflowAdvance(target: string) {
if (!task.value || wfAdvancing.value || advancing.value) return
wfAdvancing.value = true
wfResult.value = null
wfRunningNode.value = ''
wfDoneCount.value = 0
wfTotalNodes.value = 0
try {
const execId = await workflowApi.run(
`task-advance:${target}`,
@@ -589,64 +603,8 @@ async function handleWorkflowAdvance(target: string) {
}
}
// B-41: ( onEvent dispatch) execution_id
function handleWorkflowEvent(payload: WorkflowEventPayload) {
if (!wfExecId.value || payload.execution_id !== wfExecId.value) return
const evt = payload.event
switch (evt?.type) {
case 'node_started': {
// NodeStarted total(,,
// + total,/)
const node = String(evt.node_id ?? '')
wfRunningNode.value = node
wfNodeStatuses.value = { ...wfNodeStatuses.value, [node]: 'running' }
if (wfTotalNodes.value === 0) wfTotalNodes.value = 1
else wfTotalNodes.value = Math.max(wfTotalNodes.value, wfDoneCount.value + 1)
break
}
case 'node_completed': {
wfDoneCount.value += 1
if (wfRunningNode.value) {
wfNodeStatuses.value = { ...wfNodeStatuses.value, [wfRunningNode.value]: 'completed' }
}
wfRunningNode.value = ''
break
}
case 'workflow_completed': {
wfAdvancing.value = false
wfRunningNode.value = ''
wfResult.value = 'completed'
// 3s ( df-data-changed ,)
if (_wfResultTimer) clearTimeout(_wfResultTimer)
_wfResultTimer = setTimeout(() => {
if (wfResult.value === 'completed') wfResult.value = null
_wfResultTimer = null
}, 3000)
break
}
case 'workflow_failed':
case 'node_failed': {
if (evt?.node_id) {
const node = String(evt.node_id)
wfNodeStatuses.value = { ...wfNodeStatuses.value, [node]: 'failed' }
}
if (evt?.type === 'workflow_failed') {
wfAdvancing.value = false
wfRunningNode.value = ''
wfResult.value = 'failed'
if (_wfResultTimer) clearTimeout(_wfResultTimer)
_wfResultTimer = setTimeout(() => {
if (wfResult.value === 'failed') wfResult.value = null
_wfResultTimer = null
}, 3000)
}
// node_failed: , workflow_failed,
break
}
default:
break
}
}
// B-41: store execId (store.workflowProgress),
// handleWorkflowEvent workflow store ,TaskDetail
async function load() {
loading.value = true
@@ -689,8 +647,6 @@ watch(renderedDesc, () => { measureDescHeight() })
// store df-data-changed ( store.tasks , task ),
// entity=task/project task
let _unlistenDataChanged: (() => void) | null = null
// B-41: unlistener( NodeStarted/NodeCompleted/WorkflowFailed )
let _unlistenWorkflowEvent: (() => void) | null = null
onMounted(async () => {
ensureLoaded() // Markdown (, AiChat ), load
@@ -709,18 +665,17 @@ onMounted(async () => {
} catch (e) {
console.error('[TaskDetail] 启动 df-data-changed 监听失败:', e)
}
// B-41: ( workflowApi.onEvent, workflow store
// listen , execution_id )
// B-41: workflow store liveEvents (store.workflowProgress),
// store (,; execution_id )
try {
_unlistenWorkflowEvent = await workflowApi.onEvent(handleWorkflowEvent)
await store.startEventListener()
} catch (e) {
console.error('[TaskDetail] 启动 workflow-event 监听失败:', e)
console.error('[TaskDetail] 启动 workflow 事件监听失败:', e)
}
})
onBeforeUnmount(() => {
if (_unlistenDataChanged) { _unlistenDataChanged(); _unlistenDataChanged = null }
if (_unlistenWorkflowEvent) { _unlistenWorkflowEvent(); _unlistenWorkflowEvent = null }
// F-260805:
document.removeEventListener('click', closeChildMenu)
// SW-260618-21: timer ref