feat(canvas): 云端 Agent - 完成策略分层、节点能力注册与可解释审批改造

web/src/lib/canvas/canvas-node-prompt.test.ts

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+import assert from "node:assert/strict";
+import test from "node:test";
+
+import "./node-registry/definitions/index.ts";
+// @ts-expect-error -- Node 原生 TypeScript 测试运行器需要保留扩展名。
+import { canvasNodeHasCommittedContent, writeCanvasNodePrompt } from "./canvas-node-prompt.ts";
+// @ts-expect-error -- Node 原生 TypeScript 测试运行器需要保留扩展名。
+import { CanvasNodeType, type CanvasNodeData } from "../../types/canvas.ts";
+
+function node(type: CanvasNodeData["type"], metadata: CanvasNodeData["metadata"] = {}): CanvasNodeData {
+    return {
+        id: `${type}-node`,
+        type,
+        title: "测试节点",
+        position: { x: 0, y: 0 },
+        width: 320,
+        height: 180,
+        metadata,
+    };
+}
+
+test("媒体节点已有结果时只更新下一版提示词草稿", () => {
+    for (const type of [CanvasNodeType.Image, CanvasNodeType.Video, CanvasNodeType.Audio]) {
+        const current = node(type, {
+            content: `https://example.com/${type}`,
+            prompt: "已提交提示词",
+            composerContent: "旧草稿",
+            status: "success",
+        });
+
+        assert.equal(canvasNodeHasCommittedContent(current), true);
+        assert.deepEqual(writeCanvasNodePrompt(current, "下一版提示词").metadata, {
+            content: `https://example.com/${type}`,
+            prompt: "已提交提示词",
+            composerContent: "下一版提示词",
+            status: "success",
+        });
+    }
+});
+
+test("空媒体草稿同时初始化提交提示词和编辑提示词", () => {
+    const current = node(CanvasNodeType.Video, { status: "idle" });
+
+    assert.equal(canvasNodeHasCommittedContent(current), false);
+    assert.deepEqual(writeCanvasNodePrompt(current, "第一版提示词").metadata, {
+        status: "idle",
+        prompt: "第一版提示词",
+        composerContent: "第一版提示词",
+    });
+});
+
+test("图片仅保留 storageKey 时仍视为已有媒体结果", () => {
+    const current = node(CanvasNodeType.Image, {
+        storageKey: "canvas/image/result.png",
+        prompt: "已提交提示词",
+    });
+
+    assert.equal(canvasNodeHasCommittedContent(current), true);
+    assert.equal(writeCanvasNodePrompt(current, "新草稿").metadata?.prompt, "已提交提示词");
+});
+
+test("文本提示词本身不构成已提交内容", () => {
+    const draft = node(CanvasNodeType.Text, { prompt: "文本草稿" });
+    const committed = node(CanvasNodeType.Text, { content: "已生成文本", prompt: "已提交提示词" });
+
+    assert.equal(canvasNodeHasCommittedContent(draft), false);
+    assert.equal(canvasNodeHasCommittedContent(committed), true);
+    assert.equal(writeCanvasNodePrompt(draft, "新文本草稿").metadata?.prompt, "新文本草稿");
+    assert.equal(writeCanvasNodePrompt(committed, "下一版文本草稿").metadata?.prompt, "已提交提示词");
+});
+
+test("调用方可先清理失败任务元数据，再由统一写入器保存草稿", () => {
+    const current = node(CanvasNodeType.Video, {
+        content: "https://example.com/video.mp4",
+        prompt: "已提交提示词",
+        promptTemplateOperation: "storyboard-video",
+        promptTemplateVariables: { shot: "1" },
+        taskId: "failed-task",
+    });
+    const metadata = { ...current.metadata, taskId: undefined };
+
+    const updated = writeCanvasNodePrompt(current, "修订草稿", {
+        metadata,
+        clearPromptTemplate: true,
+    });
+
+    assert.equal(updated.metadata?.prompt, "已提交提示词");
+    assert.equal(updated.metadata?.composerContent, "修订草稿");
+    assert.equal(updated.metadata?.taskId, undefined);
+    assert.equal(updated.metadata?.promptTemplateOperation, undefined);
+    assert.equal(updated.metadata?.promptTemplateVariables, undefined);
+});