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main
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codex/canv
@ -329,7 +329,6 @@ export async function POST(request: Request) {
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withModel,
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withModel,
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imageSize: snapshot.imagePreferences?.parameters?.imageSize,
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imageSize: snapshot.imagePreferences?.parameters?.imageSize,
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imagePreferences: snapshot.imagePreferences,
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imagePreferences: snapshot.imagePreferences,
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priorCalls: snapshot.calls,
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preferredModelId: snapshot.imagePreferences?.modelId || (preset?.type === "image" ? preset.defaultModelId || undefined : undefined),
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preferredModelId: snapshot.imagePreferences?.modelId || (preset?.type === "image" ? preset.defaultModelId || undefined : undefined),
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operationSelectedNodeIds: selectedNodeIds,
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operationSelectedNodeIds: selectedNodeIds,
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objective: [snapshot.objective, ...snapshot.inputs.map((input) => input.text)].join(
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objective: [snapshot.objective, ...snapshot.inputs.map((input) => input.text)].join(
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@ -5,7 +5,6 @@ import { readCanvasDraft, writeCanvasDraft, clearCanvasDraft } from "@/lib/clien
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import { mergeCanvasSnapshots } from "@/lib/video-canvas/merge-snapshot";
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import { mergeCanvasSnapshots } from "@/lib/video-canvas/merge-snapshot";
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import { BEFORE_PAGE_REFRESH, type PageRefreshRequest } from "@/lib/client/page-refresh";
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import { BEFORE_PAGE_REFRESH, type PageRefreshRequest } from "@/lib/client/page-refresh";
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import { CanvasRemoteOperationContext, type CanvasRemoteOperation, type CanvasRemoteOperationResult } from "@/components/canvas/CanvasRemoteOperationContext";
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import { CanvasRemoteOperationContext, type CanvasRemoteOperation, type CanvasRemoteOperationResult } from "@/components/canvas/CanvasRemoteOperationContext";
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import equal from "fast-deep-equal";
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import {
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import {
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AlertCircle,
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AlertCircle,
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AlertTriangle,
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AlertTriangle,
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@ -172,7 +171,6 @@ import {
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type VideoCanvasSymbolMarkerId,
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type VideoCanvasSymbolMarkerId,
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} from "@/lib/canvas/video-canvas-markers";
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} from "@/lib/canvas/video-canvas-markers";
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import {
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import {
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isCanvasImageUploadPending,
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LOCAL_UPLOAD_PENDING_METADATA_KEY,
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LOCAL_UPLOAD_PENDING_METADATA_KEY,
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LOCAL_UPLOAD_PREVIEW_METADATA_KEY,
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LOCAL_UPLOAD_PREVIEW_METADATA_KEY,
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} from "@/lib/canvas/local-upload-state";
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} from "@/lib/canvas/local-upload-state";
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@ -5129,14 +5127,13 @@ export default function CanvasEditorLegacyPage({
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canvasPersistenceScope.current = id;
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canvasPersistenceScope.current = id;
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const hasUnsavedCanvasChanges = useCallback(() => {
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const hasUnsavedCanvasChanges = useCallback(() => {
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if (!canvasReadyRef.current || useCanvasStore.getState().projectId !== id || savedCanvasSnapshotRef.current?.id !== id) return false;
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if (!canvasReadyRef.current || useCanvasStore.getState().projectId !== id || savedCanvasSnapshotRef.current?.id !== id) return false;
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if (useCanvasStore.getState().nodes.some(isCanvasImageUploadPending)) return true;
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const saved = JSON.parse(savedCanvasSnapshotRef.current.snapshot).canvasData as CanvasState;
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const saved = JSON.parse(savedCanvasSnapshotRef.current.snapshot).canvasData as CanvasState;
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const current = JSON.parse(JSON.stringify(buildPersistedCanvasData())) as CanvasState;
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const current = buildPersistedCanvasData();
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const content = (value: CanvasState) => [value.nodes.map(node => {
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const content = (value: CanvasState) => [value.nodes.map(node => {
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const { updatedAt: _updatedAt, ...nodeData } = node;
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const { updatedAt: _updatedAt, ...nodeData } = node;
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return { ...nodeData, connections: node.connections || [] };
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return { ...nodeData, connections: node.connections || [] };
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}), value.edges || [], value.suppressedMediaKeys || [], normalizeStyleProPersistedState(value.styleProState)];
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}), value.edges, value.suppressedMediaKeys || [], normalizeStyleProPersistedState(value.styleProState)];
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return !equal(content(saved), content(current));
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return JSON.stringify(content(saved)) !== JSON.stringify(content(current));
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}, [buildPersistedCanvasData, id]);
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}, [buildPersistedCanvasData, id]);
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const requestCanvasLeave = useCallback((url: string) => {
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const requestCanvasLeave = useCallback((url: string) => {
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if (hasUnsavedCanvasChanges()) {
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if (hasUnsavedCanvasChanges()) {
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@ -5179,7 +5176,7 @@ export default function CanvasEditorLegacyPage({
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try {
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try {
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let canvasData = buildPersistedCanvasData();
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let canvasData = buildPersistedCanvasData();
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let snapshot = JSON.stringify({ canvasData });
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let snapshot = JSON.stringify({ canvasData });
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if (savedCanvasSnapshotRef.current?.id === id && equal(JSON.parse(savedCanvasSnapshotRef.current.snapshot), JSON.parse(snapshot))) {
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if (savedCanvasSnapshotRef.current?.id === id && savedCanvasSnapshotRef.current.snapshot === snapshot) {
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clearCanvasDraft(id);
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clearCanvasDraft(id);
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return true;
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return true;
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}
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}
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@ -5227,8 +5224,8 @@ export default function CanvasEditorLegacyPage({
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snapshot: JSON.stringify({ canvasData: buildPersistedCanvasData() }),
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snapshot: JSON.stringify({ canvasData: buildPersistedCanvasData() }),
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});
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});
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canvasSyncErrorRef.current = result.status === 409
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canvasSyncErrorRef.current = result.status === 409
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? "画布同步发生冲突,改动已保留。请在画布上方选择保留本页或云端的冲突内容,再继续操作。"
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? "画布同步发生冲突,本次任务未提交,改动已保留。请在画布上方选择保留本页或云端的冲突内容,再继续操作。"
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: `画布自动同步失败${result.status ? `(HTTP ${result.status})` : "(网络连接失败)"}。${retained ? "本地草稿已保留,系统会继续自动同步,也可稍后重试。" : "请保留当前页面,检查网络后重试同步,暂勿刷新。"}`;
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: `画布自动同步失败${result.status ? `(HTTP ${result.status})` : "(网络连接失败)"},本次任务未提交。${retained ? "本地草稿已保留,请检查网络后再次发送。" : "请保留当前页面,检查网络后再次发送,暂勿刷新。"}`;
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console.error(`[Canvas] ${reason} save failed:`, result.error);
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console.error(`[Canvas] ${reason} save failed:`, result.error);
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} else {
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} else {
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canvasSyncErrorRef.current = "";
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canvasSyncErrorRef.current = "";
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@ -5261,10 +5258,6 @@ export default function CanvasEditorLegacyPage({
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const finishCanvasLeave = useCallback(async (save: boolean) => {
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const finishCanvasLeave = useCallback(async (save: boolean) => {
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if (!canvasLeaveUrl || isSavingBeforeLeave) return;
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if (!canvasLeaveUrl || isSavingBeforeLeave) return;
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setCanvasLeaveError("");
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setCanvasLeaveError("");
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if (save && useCanvasStore.getState().nodes.some(isCanvasImageUploadPending)) {
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setCanvasLeaveError("还有图片未上传成功。请等待上传完成;若上传失败,请重新上传或移除该图片后再保存并离开。");
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return;
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}
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if (canvasAutosaveTimer.current) {
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if (canvasAutosaveTimer.current) {
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clearTimeout(canvasAutosaveTimer.current);
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clearTimeout(canvasAutosaveTimer.current);
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canvasAutosaveTimer.current = null;
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canvasAutosaveTimer.current = null;
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@ -5328,7 +5321,7 @@ export default function CanvasEditorLegacyPage({
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return canvasSaveQueue.current!.enqueueOperation(
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return canvasSaveQueue.current!.enqueueOperation(
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async () => {
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async () => {
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const saved = await persistCanvasStateNow("autosave");
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const saved = await persistCanvasStateNow("autosave");
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if (!saved) throw new Error(canvasSyncErrorRef.current ? `${canvasSyncErrorRef.current} 本次处理未提交。` : "画布尚未完成加载,本次处理未提交,请等待加载完成后重试。");
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if (!saved) throw new Error(canvasSyncErrorRef.current || "画布尚未完成加载,本次处理未提交,请等待加载完成后重试。");
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return true;
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return true;
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},
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},
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async () => {
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async () => {
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@ -5350,18 +5343,20 @@ export default function CanvasEditorLegacyPage({
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const persistCanvasBeforeAgent = useCallback(async () => {
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const persistCanvasBeforeAgent = useCallback(async () => {
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if (!canvasReadyRef.current || useCanvasStore.getState().projectId !== id || externalCanvasConflictRef.current)
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if (!canvasReadyRef.current || useCanvasStore.getState().projectId !== id || externalCanvasConflictRef.current)
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throw new Error(canvasSyncErrorRef.current ? `${canvasSyncErrorRef.current} 本次任务未提交。` : "画布尚未完成同步,本次任务未提交,请保留当前页面并重试同步。");
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throw new Error(canvasSyncErrorRef.current || "画布尚未完成同步,本次任务未提交,请保留当前页面并重试同步。");
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if (savedCanvasSnapshotRef.current?.id === id) {
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if (savedCanvasSnapshotRef.current?.id === id) {
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if (!hasUnsavedCanvasChanges()) return true;
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const saved = JSON.parse(savedCanvasSnapshotRef.current.snapshot).canvasData;
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const current = buildPersistedCanvasData();
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if (JSON.stringify(saved.nodes) === JSON.stringify(current.nodes) && JSON.stringify(saved.edges) === JSON.stringify(current.edges)) return true;
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}
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}
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// Flush the pending local edit once instead of racing its scheduled autosave.
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// Flush the pending local edit once instead of racing its scheduled autosave.
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if (canvasAutosaveTimer.current) {
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if (canvasAutosaveTimer.current) {
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clearTimeout(canvasAutosaveTimer.current);
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clearTimeout(canvasAutosaveTimer.current);
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canvasAutosaveTimer.current = null;
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canvasAutosaveTimer.current = null;
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}
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}
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if (!(await persistCanvasState("autosave"))) throw new Error(canvasSyncErrorRef.current ? `${canvasSyncErrorRef.current} 本次任务未提交。` : "画布尚未完成加载,本次任务未提交;请等待加载完成后再次发送。");
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if (!(await persistCanvasState("autosave"))) throw new Error(canvasSyncErrorRef.current || "画布尚未完成加载,本次任务未提交;请等待加载完成后再次发送。");
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return true;
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return true;
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}, [persistCanvasState, hasUnsavedCanvasChanges, id]);
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}, [persistCanvasState, buildPersistedCanvasData, id]);
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const canvasRemoteOperationContext = useMemo(() => ({
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const canvasRemoteOperationContext = useMemo(() => ({
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run: runCanvasRemoteOperation,
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run: runCanvasRemoteOperation,
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@ -5372,10 +5367,6 @@ export default function CanvasEditorLegacyPage({
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if (isVideoMode) return;
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if (isVideoMode) return;
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const beforeRefresh = (event: Event) => {
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const beforeRefresh = (event: Event) => {
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const request = (event as CustomEvent<PageRefreshRequest>).detail;
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const request = (event as CustomEvent<PageRefreshRequest>).detail;
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if (!isAgentMode && useCanvasStore.getState().nodes.some(isCanvasImageUploadPending)) {
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request.block("还有图片未上传成功。请等待上传完成;若上传失败,请重新上传或移除该图片后再刷新。");
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return;
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}
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if (useCanvasStore.getState().isGenerating) {
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if (useCanvasStore.getState().isGenerating) {
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request.block("当前图片任务仍在处理中,请等待结果返回后再刷新。");
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request.block("当前图片任务仍在处理中,请等待结果返回后再刷新。");
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return;
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return;
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@ -5422,6 +5413,7 @@ export default function CanvasEditorLegacyPage({
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const onVisibilityChange = () => {
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const onVisibilityChange = () => {
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if (!canvasLeaveApprovedRef.current && document.visibilityState === "hidden" && hasUnsavedCanvasChanges()) {
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if (!canvasLeaveApprovedRef.current && document.visibilityState === "hidden" && hasUnsavedCanvasChanges()) {
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writeCanvasDraft(id, { base: savedCanvasSnapshotRef.current!.snapshot, snapshot: JSON.stringify({ canvasData: buildPersistedCanvasData() }) });
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writeCanvasDraft(id, { base: savedCanvasSnapshotRef.current!.snapshot, snapshot: JSON.stringify({ canvasData: buildPersistedCanvasData() }) });
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retrySync();
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}
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}
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};
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};
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const retryTimer = window.setInterval(() => {
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const retryTimer = window.setInterval(() => {
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@ -5552,7 +5544,7 @@ export default function CanvasEditorLegacyPage({
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const handleBeforeUnload = (event: BeforeUnloadEvent) => {
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const handleBeforeUnload = (event: BeforeUnloadEvent) => {
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if (!retainDraft()) return;
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if (!retainDraft()) return;
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event.preventDefault();
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event.preventDefault();
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event.returnValue = "true";
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event.returnValue = "";
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};
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};
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const handlePageHide = () => {
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const handlePageHide = () => {
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try {
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try {
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@ -68,7 +68,6 @@ export function AppUpdateNotice() {
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</AlertDialogHeader>
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</AlertDialogHeader>
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{error ? <p role="alert" className="text-sm text-destructive">{error}</p> : null}
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{error ? <p role="alert" className="text-sm text-destructive">{error}</p> : null}
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<AlertDialogFooter>
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<AlertDialogFooter>
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{error ? <Button variant="outline" disabled={refreshing} onClick={() => { setAvailableVersion(""); setError(""); }}>返回处理</Button> : null}
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<Button disabled={refreshing} onClick={() => void refresh()}>{refreshing ? "正在同步内容…" : "同步并刷新"}</Button>
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<Button disabled={refreshing} onClick={() => void refresh()}>{refreshing ? "正在同步内容…" : "同步并刷新"}</Button>
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</AlertDialogFooter>
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</AlertDialogFooter>
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</AlertDialogContent>
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</AlertDialogContent>
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@ -8972,10 +8972,6 @@ export function CanvasChatPanel({
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useEffect(() => {
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useEffect(() => {
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const beforeRefresh = (event: Event) => {
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const beforeRefresh = (event: Event) => {
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const request = (event as CustomEvent<PageRefreshRequest>).detail;
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const request = (event as CustomEvent<PageRefreshRequest>).detail;
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if (composerUploadProgress) {
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request.block("素材仍在上传,请等待上传完成后再刷新。当前页面和输入已保留。");
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return;
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}
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if (isCanvasAgentRunning || isClawdSubmitting || isDetailGenerating || status === "streaming" || status === "submitted" || Object.values(sendGuardRef.current).some(guard => guard.inFlight)) {
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if (isCanvasAgentRunning || isClawdSubmitting || isDetailGenerating || status === "streaming" || status === "submitted" || Object.values(sendGuardRef.current).some(guard => guard.inFlight)) {
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request.block("当前对话任务仍在处理中,请等待结果返回后再刷新。原任务会继续执行,无需重新提交。");
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request.block("当前对话任务仍在处理中,请等待结果返回后再刷新。原任务会继续执行,无需重新提交。");
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return;
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return;
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@ -8985,17 +8981,9 @@ export function CanvasChatPanel({
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throw new Error("浏览器无法保存当前输入,请保留此页并检查浏览器存储空间后重试。");
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throw new Error("浏览器无法保存当前输入,请保留此页并检查浏览器存储空间后重试。");
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});
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});
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};
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};
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const beforeUnload = (event: BeforeUnloadEvent) => {
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event.preventDefault();
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event.returnValue = "true";
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};
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window.addEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
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window.addEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
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if (composerUploadProgress) window.addEventListener("beforeunload", beforeUnload);
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return () => window.removeEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
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return () => {
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}, [activeChatId, input, attachments, isCanvasAgentRunning, isClawdSubmitting, isDetailGenerating, status]);
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window.removeEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
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|
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window.removeEventListener("beforeunload", beforeUnload);
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};
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}, [activeChatId, input, attachments, composerUploadProgress, isCanvasAgentRunning, isClawdSubmitting, isDetailGenerating, status]);
|
|
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|
|
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const restorePendingClawdRequestToComposer = useCallback(
|
const restorePendingClawdRequestToComposer = useCallback(
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(snapshot: PendingClawdRequestRestoreSnapshot) => {
|
(snapshot: PendingClawdRequestRestoreSnapshot) => {
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@ -13,18 +13,13 @@ export type AgentImageParameters = {
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};
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};
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export type AgentImagePreferences = { modelId?: string; parameters?: AgentImageParameters };
|
export type AgentImagePreferences = { modelId?: string; parameters?: AgentImageParameters };
|
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|
|
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export function selectedAgentImageCount(preferences?: AgentImagePreferences) {
|
|
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const count = preferences?.parameters?.imageCount ?? preferences?.parameters?.n;
|
|
||||||
return count === undefined ? undefined : Math.floor(count);
|
|
||||||
}
|
|
||||||
|
|
||||||
export function applyAgentImagePreferences<T extends Record<string, unknown>>(
|
export function applyAgentImagePreferences<T extends Record<string, unknown>>(
|
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input: T,
|
input: T,
|
||||||
preferences?: AgentImagePreferences,
|
preferences?: AgentImagePreferences,
|
||||||
): T & AgentImageParameters & { modelId?: string } {
|
): T & AgentImageParameters & { modelId?: string } {
|
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const parameters = Object.fromEntries(Object.entries(preferences?.parameters || {})
|
const parameters = Object.fromEntries(Object.entries(preferences?.parameters || {})
|
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.filter(([, value]) => value !== undefined));
|
.filter(([, value]) => value !== undefined));
|
||||||
const count = selectedAgentImageCount(preferences);
|
const count = preferences?.parameters?.imageCount ?? preferences?.parameters?.n;
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||||||
return {
|
return {
|
||||||
...input,
|
...input,
|
||||||
...parameters,
|
...parameters,
|
||||||
|
|||||||
@ -1,14 +1,5 @@
|
|||||||
import type { AgentCallRecord, AgentRunSnapshot } from "./protocol";
|
import type { AgentCallRecord, AgentRunSnapshot } from "./protocol";
|
||||||
|
|
||||||
export function countAgentGeneratedImages(calls: AgentCallRecord[]) {
|
|
||||||
return calls.reduce((count, call) => {
|
|
||||||
const output = call.output;
|
|
||||||
if (call.status !== "succeeded" || !output?.appliedImagePreferences ||
|
|
||||||
!Array.isArray(output.createdNodeIds)) return count;
|
|
||||||
return count + output.createdNodeIds.length;
|
|
||||||
}, 0);
|
|
||||||
}
|
|
||||||
|
|
||||||
// A spontaneous download command is not an unfinished image edit. Keep genuine
|
// A spontaneous download command is not an unfinished image edit. Keep genuine
|
||||||
// download requests and all editor panels waiting for their actual interaction.
|
// download requests and all editor panels waiting for their actual interaction.
|
||||||
export function isAncillaryDownload(snapshot: AgentRunSnapshot, call: AgentCallRecord) {
|
export function isAncillaryDownload(snapshot: AgentRunSnapshot, call: AgentCallRecord) {
|
||||||
|
|||||||
@ -5,8 +5,7 @@ import sharp from "sharp";
|
|||||||
import { z } from "zod";
|
import { z } from "zod";
|
||||||
import { readCanvasImages, readOwnedCanvas, type RuntimeImageNode } from "./canvas";
|
import { readCanvasImages, readOwnedCanvas, type RuntimeImageNode } from "./canvas";
|
||||||
import type { AgentRunSnapshot } from "./protocol";
|
import type { AgentRunSnapshot } from "./protocol";
|
||||||
import { countAgentGeneratedImages, finalResultNodeIds, originalSourceNodeIds, requiresCanvasInteraction } from "./results";
|
import { finalResultNodeIds, originalSourceNodeIds, requiresCanvasInteraction } from "./results";
|
||||||
import { selectedAgentImageCount } from "./image-preferences";
|
|
||||||
import { isCompletedSimpleCutout } from "./cutout-completion";
|
import { isCompletedSimpleCutout } from "./cutout-completion";
|
||||||
|
|
||||||
export async function inspectImageAlpha(source: Buffer) {
|
export async function inspectImageAlpha(source: Buffer) {
|
||||||
@ -125,16 +124,14 @@ export async function verifyCanvasAgentResults(params: {
|
|||||||
(call) =>
|
(call) =>
|
||||||
call.status !== "succeeded" ||
|
call.status !== "succeeded" ||
|
||||||
requiresCanvasInteraction(snapshot, call) ||
|
requiresCanvasInteraction(snapshot, call) ||
|
||||||
(typeof call.output?.status === "string" && call.output.status !== "succeeded" &&
|
(typeof call.output?.status === "string" && call.output.status !== "succeeded"),
|
||||||
!(call.output.status === "partial" && call.output.appliedImagePreferences)),
|
|
||||||
);
|
);
|
||||||
if (incomplete.length) return { passed: false, issues: ["部分操作仍在等待交互或未完成"] };
|
if (incomplete.length) return { passed: false, issues: ["部分操作仍在等待交互或未完成"] };
|
||||||
const plan = calls.filter((call) => call.name === "planCanvasTask").at(-1)?.output;
|
const plan = calls.filter((call) => call.name === "planCanvasTask").at(-1)?.output;
|
||||||
if (!plan) return { passed: false, issues: ["缺少明确的任务验收计划"] };
|
if (!plan) return { passed: false, issues: ["缺少明确的任务验收计划"] };
|
||||||
// Intermediate images consumed by later write tools do not count as final deliverables.
|
// Intermediate images consumed by later write tools do not count as final deliverables.
|
||||||
const finalIds = finalResultNodeIds(snapshot);
|
const finalIds = finalResultNodeIds(snapshot);
|
||||||
const expectedCount = snapshot.requirements?.expectedImageCount ?? plan.expectedImageCount ??
|
const expectedCount = snapshot.requirements?.expectedImageCount ?? plan.expectedImageCount;
|
||||||
(countAgentGeneratedImages(calls) > 0 ? selectedAgentImageCount(snapshot.imagePreferences) : undefined);
|
|
||||||
if (expectedCount && finalIds.length !== expectedCount) {
|
if (expectedCount && finalIds.length !== expectedCount) {
|
||||||
return {
|
return {
|
||||||
passed: false,
|
passed: false,
|
||||||
|
|||||||
@ -1,11 +1,5 @@
|
|||||||
import type { AgentVisionExecutor } from "../runtime/agent-vision-failover";
|
import type { AgentVisionExecutor } from "../runtime/agent-vision-failover";
|
||||||
import {
|
import { resolveUserImageModel, applyAgentImagePreferences, agentProviderImageParameters, type AgentImagePreferences } from "./image-preferences";
|
||||||
agentProviderImageParameters,
|
|
||||||
applyAgentImagePreferences,
|
|
||||||
resolveUserImageModel,
|
|
||||||
selectedAgentImageCount,
|
|
||||||
type AgentImagePreferences,
|
|
||||||
} from "./image-preferences";
|
|
||||||
import { tool, type LanguageModel, type ToolSet } from "ai";
|
import { tool, type LanguageModel, type ToolSet } from "ai";
|
||||||
import { z } from "zod";
|
import { z } from "zod";
|
||||||
import { createCanvasCapabilityTools } from "@/lib/canvas/capabilities/ai-sdk-tools";
|
import { createCanvasCapabilityTools } from "@/lib/canvas/capabilities/ai-sdk-tools";
|
||||||
@ -24,8 +18,6 @@ import {
|
|||||||
sortStyleProImageModelEntries,
|
sortStyleProImageModelEntries,
|
||||||
} from "@/lib/style-pro/model-options";
|
} from "@/lib/style-pro/model-options";
|
||||||
import type { CanvasAgentLoopPorts, CanvasAgentTool } from "./loop";
|
import type { CanvasAgentLoopPorts, CanvasAgentTool } from "./loop";
|
||||||
import { AgentToolRejectedError, type AgentCallRecord } from "./protocol";
|
|
||||||
import { countAgentGeneratedImages } from "./results";
|
|
||||||
import { readCanvasImages, readOwnedCanvas } from "./canvas";
|
import { readCanvasImages, readOwnedCanvas } from "./canvas";
|
||||||
import { analyzeRuntimeImages } from "./review";
|
import { analyzeRuntimeImages } from "./review";
|
||||||
import { isExplicitDestructiveIntent } from "./capability-access";
|
import { isExplicitDestructiveIntent } from "./capability-access";
|
||||||
@ -45,13 +37,11 @@ export async function buildCanvasRuntimeTools(params: {
|
|||||||
imageSize?: string;
|
imageSize?: string;
|
||||||
preferredModelId?: string;
|
preferredModelId?: string;
|
||||||
imagePreferences?: AgentImagePreferences;
|
imagePreferences?: AgentImagePreferences;
|
||||||
priorCalls?: AgentCallRecord[];
|
|
||||||
emit: (type: string, data: unknown) => void;
|
emit: (type: string, data: unknown) => void;
|
||||||
objective?: string;
|
objective?: string;
|
||||||
operationSelectedNodeIds?: string[];
|
operationSelectedNodeIds?: string[];
|
||||||
}) {
|
}) {
|
||||||
const { nodes } = await readOwnedCanvas(params.userId, params.projectId);
|
const { nodes } = await readOwnedCanvas(params.userId, params.projectId);
|
||||||
const selectedImageCount = selectedAgentImageCount(params.imagePreferences);
|
|
||||||
const imageNodeIds = nodes.filter((node) => node.type === "image").map((node) => node.id);
|
const imageNodeIds = nodes.filter((node) => node.type === "image").map((node) => node.id);
|
||||||
const defaults = params.selectedNodeIds.filter((id) => imageNodeIds.includes(id));
|
const defaults = params.selectedNodeIds.filter((id) => imageNodeIds.includes(id));
|
||||||
const sdk = await createCanvasCapabilityTools({
|
const sdk = await createCanvasCapabilityTools({
|
||||||
@ -138,8 +128,8 @@ export async function buildCanvasRuntimeTools(params: {
|
|||||||
visualCriteria: z.array(z.string().max(200)).max(10),
|
visualCriteria: z.array(z.string().max(200)).max(10),
|
||||||
}),
|
}),
|
||||||
async (input) => ({ ...input,
|
async (input) => ({ ...input,
|
||||||
...(input.expectedImageCount !== undefined && selectedImageCount !== undefined
|
...(input.expectedImageCount !== undefined && params.imagePreferences?.parameters?.imageCount !== undefined
|
||||||
? { expectedImageCount: selectedImageCount } : {}),
|
? { expectedImageCount: params.imagePreferences.parameters.imageCount } : {}),
|
||||||
...(params.imagePreferences?.parameters?.aspectRatio && params.imagePreferences.parameters.aspectRatio !== "auto"
|
...(params.imagePreferences?.parameters?.aspectRatio && params.imagePreferences.parameters.aspectRatio !== "auto"
|
||||||
? { aspectRatio: params.imagePreferences.parameters.aspectRatio } : {}),
|
? { aspectRatio: params.imagePreferences.parameters.aspectRatio } : {}),
|
||||||
}),
|
}),
|
||||||
@ -184,9 +174,7 @@ export async function buildCanvasRuntimeTools(params: {
|
|||||||
async (input) => analyzeRuntimeImages({ ...params, ...input }),
|
async (input) => analyzeRuntimeImages({ ...params, ...input }),
|
||||||
);
|
);
|
||||||
|
|
||||||
let submittedCount = 0;
|
let generatedCount = 0;
|
||||||
let occupiedImageSlots = countAgentGeneratedImages(params.priorCalls ?? []);
|
|
||||||
const countLimitMessage = "本次设定的生成张数已占满,请先查看正在生成或已经生成的结果。";
|
|
||||||
register(
|
register(
|
||||||
"generateCanvasImages",
|
"generateCanvasImages",
|
||||||
"生成图片",
|
"生成图片",
|
||||||
@ -201,8 +189,9 @@ export async function buildCanvasRuntimeTools(params: {
|
|||||||
}),
|
}),
|
||||||
async (toolInput, callId) => {
|
async (toolInput, callId) => {
|
||||||
const input = applyAgentImagePreferences(toolInput, params.imagePreferences);
|
const input = applyAgentImagePreferences(toolInput, params.imagePreferences);
|
||||||
if (selectedImageCount !== undefined && occupiedImageSlots >= selectedImageCount)
|
// Bound per-task spend without introducing any global/model concurrency queue.
|
||||||
throw new AgentToolRejectedError(countLimitMessage);
|
if (generatedCount + input.imageCount > 24)
|
||||||
|
throw new Error("本次任务已达到 24 张生成预算,请检查结果后继续。");
|
||||||
const sources = await readCanvasImages(
|
const sources = await readCanvasImages(
|
||||||
params.userId,
|
params.userId,
|
||||||
params.projectId,
|
params.projectId,
|
||||||
@ -225,17 +214,10 @@ export async function buildCanvasRuntimeTools(params: {
|
|||||||
if (!chosen) throw new Error("系统未配置可用的图片生成模型");
|
if (!chosen) throw new Error("系统未配置可用的图片生成模型");
|
||||||
const imageSize = input.imageSize || params.imageSize || "2K";
|
const imageSize = input.imageSize || params.imageSize || "2K";
|
||||||
const quota = await checkUserImageQuota(params.userId);
|
const quota = await checkUserImageQuota(params.userId);
|
||||||
const points = await getPointsSystemConfig();
|
|
||||||
const user = await getUserById({ id: params.userId });
|
|
||||||
// Reserve the remaining slots before dispatch, including calls still in flight.
|
|
||||||
if (selectedImageCount !== undefined) {
|
|
||||||
input.imageCount = Math.min(input.imageCount, selectedImageCount - occupiedImageSlots);
|
|
||||||
if (input.imageCount < 1) throw new AgentToolRejectedError(countLimitMessage);
|
|
||||||
}
|
|
||||||
if (submittedCount + input.imageCount > 24)
|
|
||||||
throw new AgentToolRejectedError("本次任务已达到 24 张生成预算,请检查结果后继续。");
|
|
||||||
if (!quota.allowed || (quota.remaining !== null && input.imageCount > quota.remaining))
|
if (!quota.allowed || (quota.remaining !== null && input.imageCount > quota.remaining))
|
||||||
throw new Error("本月图片生成配额不足。");
|
throw new Error("本月图片生成配额不足。");
|
||||||
|
const points = await getPointsSystemConfig();
|
||||||
|
const user = await getUserById({ id: params.userId });
|
||||||
const cost =
|
const cost =
|
||||||
getModelGenerationCreditCost(
|
getModelGenerationCreditCost(
|
||||||
{ imageGenConfig: chosen.model.imageGenConfig as DiscountableImageGenConfigLike | null },
|
{ imageGenConfig: chosen.model.imageGenConfig as DiscountableImageGenConfigLike | null },
|
||||||
@ -249,8 +231,7 @@ export async function buildCanvasRuntimeTools(params: {
|
|||||||
(user?.pointsBalance ?? 0) < cost
|
(user?.pointsBalance ?? 0) < cost
|
||||||
)
|
)
|
||||||
throw new Error("积分不足,请充值或联系管理员。");
|
throw new Error("积分不足,请充值或联系管理员。");
|
||||||
submittedCount += input.imageCount;
|
generatedCount += input.imageCount;
|
||||||
occupiedImageSlots += input.imageCount;
|
|
||||||
const result = await generateCanvasImage({
|
const result = await generateCanvasImage({
|
||||||
prompt: input.prompt,
|
prompt: input.prompt,
|
||||||
model: chosen.model.id,
|
model: chosen.model.id,
|
||||||
@ -330,7 +311,6 @@ export async function buildCanvasRuntimeTools(params: {
|
|||||||
},
|
},
|
||||||
);
|
);
|
||||||
}
|
}
|
||||||
occupiedImageSlots += result.images.length - input.imageCount;
|
|
||||||
return {
|
return {
|
||||||
status: result.images.length < input.imageCount ? "partial" : "succeeded",
|
status: result.images.length < input.imageCount ? "partial" : "succeeded",
|
||||||
appliedImagePreferences: { modelId: result.modelRef, imageSize, aspectRatio: input.aspectRatio, imageCount: input.imageCount },
|
appliedImagePreferences: { modelId: result.modelRef, imageSize, aspectRatio: input.aspectRatio, imageCount: input.imageCount },
|
||||||
|
|||||||
@ -7,8 +7,7 @@ import type { CanvasAgentTool } from "@/lib/ai/canvas-agent-runtime/loop";
|
|||||||
import { AgentToolRejectedError, publicAgentError, type AgentCallRecord, type AgentRunSnapshot, type CanvasAgentRunStatus } from "@/lib/ai/canvas-agent-runtime/protocol";
|
import { AgentToolRejectedError, publicAgentError, type AgentCallRecord, type AgentRunSnapshot, type CanvasAgentRunStatus } from "@/lib/ai/canvas-agent-runtime/protocol";
|
||||||
import { formatRequestFailure, getRequestFailureDetails } from "@/lib/request-error";
|
import { formatRequestFailure, getRequestFailureDetails } from "@/lib/request-error";
|
||||||
import { isCompletedSimpleCutout } from "@/lib/ai/canvas-agent-runtime/cutout-completion";
|
import { isCompletedSimpleCutout } from "@/lib/ai/canvas-agent-runtime/cutout-completion";
|
||||||
import { countAgentGeneratedImages, requiresCanvasInteraction } from "@/lib/ai/canvas-agent-runtime/results";
|
import { requiresCanvasInteraction } from "@/lib/ai/canvas-agent-runtime/results";
|
||||||
import { selectedAgentImageCount } from "@/lib/ai/canvas-agent-runtime/image-preferences";
|
|
||||||
import { AgentImageGenerationError } from "@/lib/ai/runtime/image-generation-error";
|
import { AgentImageGenerationError } from "@/lib/ai/runtime/image-generation-error";
|
||||||
import { publicAssistantText } from "./assistant-output";
|
import { publicAssistantText } from "./assistant-output";
|
||||||
|
|
||||||
@ -50,16 +49,6 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
|
|||||||
if (!details.recommendation) details.recommendation = "请联系管理员并提供请求编号,核对该步骤的错误。";
|
if (!details.recommendation) details.recommendation = "请联系管理员并提供请求编号,核对该步骤的错误。";
|
||||||
return `${call.title || "创作工具"}:${formatRequestFailure(details, ports.runId)}`;
|
return `${call.title || "创作工具"}:${formatRequestFailure(details, ports.runId)}`;
|
||||||
}
|
}
|
||||||
function imageCountReached() {
|
|
||||||
const count = snapshot.workspace === "video" ? undefined : selectedAgentImageCount(snapshot.imagePreferences);
|
|
||||||
return count !== undefined && countAgentGeneratedImages(snapshot.calls) >= count;
|
|
||||||
}
|
|
||||||
function reviewMessage(issues: string[]) {
|
|
||||||
const summary = `结果待核对:${issues.join(";")}`;
|
|
||||||
return imageCountReached()
|
|
||||||
? `${summary}\n\n已保留本次生成的图片。如需再生成,请发送新指令。`
|
|
||||||
: summary;
|
|
||||||
}
|
|
||||||
let modelError = "";
|
let modelError = "";
|
||||||
let toolFailure = "";
|
let toolFailure = "";
|
||||||
let nativeFailed = false;
|
let nativeFailed = false;
|
||||||
@ -95,7 +84,6 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
|
|||||||
`可用业务工具:${tools.join("、")}。工具名称带 mcp__canvas__ 前缀。`,
|
`可用业务工具:${tools.join("、")}。工具名称带 mcp__canvas__ 前缀。`,
|
||||||
"原生文件、Bash、记忆及子任务能力仅作用于此任务的私有工作区,不能通过 shell 直接访问模型服务商或本站后台;业务操作使用 MCP。",
|
"原生文件、Bash、记忆及子任务能力仅作用于此任务的私有工作区,不能通过 shell 直接访问模型服务商或本站后台;业务操作使用 MCP。",
|
||||||
"用户只要求生图或改图时,把结果写入画布并验收即可。除非用户明确要求下载或导出,不要主动调用 image_download,也不要为收尾打开交互面板。",
|
"用户只要求生图或改图时,把结果写入画布并验收即可。除非用户明确要求下载或导出,不要主动调用 image_download,也不要为收尾打开交互面板。",
|
||||||
"用户设置的生成张数是本次任务的总数,包括验收未通过的已生成图片。达到张数后,保留结果并说明问题;如需再次生成,等待用户发送新指令。",
|
|
||||||
"用户指定的生图模型被明确拒绝时,停止本轮收费操作,询问用户希望切换生图模型还是稍后重试。切换需用户确认并更新模型选择;结果未知的超时必须先核对原任务,不可直接换模型重发。不要为普通图片编辑调用 appearance.post 或其他无关业务接口。",
|
"用户指定的生图模型被明确拒绝时,停止本轮收费操作,询问用户希望切换生图模型还是稍后重试。切换需用户确认并更新模型选择;结果未知的超时必须先核对原任务,不可直接换模型重发。不要为普通图片编辑调用 appearance.post 或其他无关业务接口。",
|
||||||
"imagePreferences 是用户在输入框选择的生图模型和图片参数,与当前规划模型不同。生成和编辑图片优先用 generateCanvasImages;用户选定的模型不得被技能默认值、你选的其他模型或重试覆盖。自动选择生图模型时,图片工具内部会在明确失败后切换备用模型并补齐结果,不要自行重放付费操作;用户明确指定模型时禁止故障切换。比例、尺寸、数量、反向提示词等控件必须传入;不要通过其他生成接口绕过用户选择。分析、问答、排版等不需要出图的任务无需生成图片。",
|
"imagePreferences 是用户在输入框选择的生图模型和图片参数,与当前规划模型不同。生成和编辑图片优先用 generateCanvasImages;用户选定的模型不得被技能默认值、你选的其他模型或重试覆盖。自动选择生图模型时,图片工具内部会在明确失败后切换备用模型并补齐结果,不要自行重放付费操作;用户明确指定模型时禁止故障切换。比例、尺寸、数量、反向提示词等控件必须传入;不要通过其他生成接口绕过用户选择。分析、问答、排版等不需要出图的任务无需生成图片。",
|
||||||
"转正面、换角度、旋转主体视角时,直接用 generateCanvasImages,referenceNodeIds 指向要编辑的真实图片,提示词描述目标视角并保留产品结构和未要求修改的细节。旧多视角功能、angleEditImage 和 image.multi_angle 已废弃,即使历史对话用过也不得再调用或打开旧面板。",
|
"转正面、换角度、旋转主体视角时,直接用 generateCanvasImages,referenceNodeIds 指向要编辑的真实图片,提示词描述目标视角并保留产品结构和未要求修改的细节。旧多视角功能、angleEditImage 和 image.multi_angle 已废弃,即使历史对话用过也不得再调用或打开旧面板。",
|
||||||
@ -289,12 +277,12 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
|
|||||||
const verification = await ports.verify(reviewSnapshot); snapshot.verification = verification;
|
const verification = await ports.verify(reviewSnapshot); snapshot.verification = verification;
|
||||||
snapshot.inputTokens = reviewSnapshot.inputTokens; snapshot.outputTokens = reviewSnapshot.outputTokens;
|
snapshot.inputTokens = reviewSnapshot.inputTokens; snapshot.outputTokens = reviewSnapshot.outputTokens;
|
||||||
if (verification.passed) return await save(result.response || "任务完成,结果已写入画布。", "completed");
|
if (verification.passed) return await save(result.response || "任务完成,结果已写入画布。", "completed");
|
||||||
if (verification.retryable && snapshot.repairs < 2 && !imageCountReached()) {
|
if (verification.retryable && snapshot.repairs < 2) {
|
||||||
snapshot.repairs++;
|
snapshot.repairs++;
|
||||||
prompt = `验收需要定点修复:${JSON.stringify(verification)}。只处理失败结果,禁止整批重新生成;保留所有通过结果。`;
|
prompt = `验收需要定点修复:${JSON.stringify(verification)}。只处理失败结果,禁止整批重新生成;保留所有通过结果。`;
|
||||||
continue;
|
continue;
|
||||||
}
|
}
|
||||||
return await save(reviewMessage(verification.issues), "needs_review");
|
return await save(`结果待核对:${verification.issues.join(";")}`, "needs_review");
|
||||||
}
|
}
|
||||||
} catch (error) {
|
} catch (error) {
|
||||||
if (snapshot.nativeRuntime) snapshot.nativeRuntime.state = "stopped";
|
if (snapshot.nativeRuntime) snapshot.nativeRuntime.state = "stopped";
|
||||||
@ -318,7 +306,7 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
|
|||||||
if (control.cancelled || ports.signal.aborted) return await save("已停止后续步骤,完成的结果保留在画布。", "cancelled");
|
if (control.cancelled || ports.signal.aborted) return await save("已停止后续步骤,完成的结果保留在画布。", "cancelled");
|
||||||
if (inputs !== JSON.stringify(snapshot.inputs)) return await save("已收到新的补充要求,图片已保留,请继续处理。", "needs_review");
|
if (inputs !== JSON.stringify(snapshot.inputs)) return await save("已收到新的补充要求,图片已保留,请继续处理。", "needs_review");
|
||||||
return await save(verification.passed ? "图片已完成并通过检查,结果已保留在画布。"
|
return await save(verification.passed ? "图片已完成并通过检查,结果已保留在画布。"
|
||||||
: `图片已返回画布,${reviewMessage(verification.issues)}`, verification.passed ? "completed" : "needs_review");
|
: `图片已返回画布,结果待核对:${verification.issues.join(";")}`, verification.passed ? "completed" : "needs_review");
|
||||||
} catch { /* Keep the original interruption if independent inspection also fails. */ }
|
} catch { /* Keep the original interruption if independent inspection also fails. */ }
|
||||||
}
|
}
|
||||||
return await save(cancelled ? "已停止后续步骤,完成的结果保留在画布。" : toolFailure || modelError || publicAgentError(error), cancelled ? "cancelled" : "needs_review");
|
return await save(cancelled ? "已停止后续步骤,完成的结果保留在画布。" : toolFailure || modelError || publicAgentError(error), cancelled ? "cancelled" : "needs_review");
|
||||||
|
|||||||
@ -13,13 +13,9 @@ async function setup(page: Page, failRead = false) {
|
|||||||
writes: [] as any[], metadataWrites: 0, submissions: [] as any[], capabilitySubmissions: [] as any[],
|
writes: [] as any[], metadataWrites: 0, submissions: [] as any[], capabilitySubmissions: [] as any[],
|
||||||
appVersion: "development", holdRequest: false, finishRequest: null as (() => void) | null,
|
appVersion: "development", holdRequest: false, finishRequest: null as (() => void) | null,
|
||||||
nativeResultNext: false,
|
nativeResultNext: false,
|
||||||
holdUpload: false, uploadStarted: 0, finishUpload: null as (() => void) | null,
|
|
||||||
};
|
};
|
||||||
const revision = () => new Date(Date.UTC(2026, 10, 6, 0, 0, state.revision)).toISOString();
|
const revision = () => new Date(Date.UTC(2026, 10, 6, 0, 0, state.revision)).toISOString();
|
||||||
const project = () => ({ id: projectId, title: "同步验证", canvasData: JSON.parse(JSON.stringify(state.canvasData, (_key, value) =>
|
const project = () => ({ id: projectId, title: "同步验证", canvasData: state.canvasData, updatedAt: revision() });
|
||||||
value && typeof value === "object" && !Array.isArray(value)
|
|
||||||
? Object.fromEntries(Object.entries(value).sort(([a], [b]) => a.localeCompare(b)))
|
|
||||||
: value)), updatedAt: revision() });
|
|
||||||
const errors: string[] = [];
|
const errors: string[] = [];
|
||||||
page.on("pageerror", error => errors.push(error.message));
|
page.on("pageerror", error => errors.push(error.message));
|
||||||
await page.context().addInitScript(() => localStorage.setItem("theme", "light"));
|
await page.context().addInitScript(() => localStorage.setItem("theme", "light"));
|
||||||
@ -28,10 +24,6 @@ async function setup(page: Page, failRead = false) {
|
|||||||
const path = new URL(request.url()).pathname;
|
const path = new URL(request.url()).pathname;
|
||||||
let data: unknown = {};
|
let data: unknown = {};
|
||||||
let status = 200;
|
let status = 200;
|
||||||
if (path.startsWith("/api/files/") && request.method() === "POST" && state.holdUpload) {
|
|
||||||
state.uploadStarted++;
|
|
||||||
await new Promise<void>(resolve => { state.finishUpload = resolve; });
|
|
||||||
}
|
|
||||||
if (path === `/api/canvas/${projectId}`) {
|
if (path === `/api/canvas/${projectId}`) {
|
||||||
if (request.method() === "GET") {
|
if (request.method() === "GET") {
|
||||||
status = state.failRead ? 500 : 200;
|
status = state.failRead ? 500 : 200;
|
||||||
@ -116,9 +108,8 @@ async function moveImage(page: Page) {
|
|||||||
|
|
||||||
const unloadWouldBeBlocked = (page: Page) => page.evaluate(() => {
|
const unloadWouldBeBlocked = (page: Page) => page.evaluate(() => {
|
||||||
const event = new Event("beforeunload", { cancelable: true });
|
const event = new Event("beforeunload", { cancelable: true });
|
||||||
Object.defineProperty(event, "returnValue", { value: "", writable: true });
|
|
||||||
window.dispatchEvent(event);
|
window.dispatchEvent(event);
|
||||||
return event.defaultPrevented && Boolean(event.returnValue);
|
return event.defaultPrevented;
|
||||||
});
|
});
|
||||||
|
|
||||||
test("background saving recovers when the network returns without a manual save", async ({ page }) => {
|
test("background saving recovers when the network returns without a manual save", async ({ page }) => {
|
||||||
@ -136,18 +127,6 @@ test("background saving recovers when the network returns without a manual save"
|
|||||||
expect(errors).toEqual([]);
|
expect(errors).toEqual([]);
|
||||||
});
|
});
|
||||||
|
|
||||||
test("selecting a saved image does not require another save before an Agent message", async ({ page }) => {
|
|
||||||
const { state, errors } = await setup(page);
|
|
||||||
await page.locator('[data-canvas-node-id="source"]').click();
|
|
||||||
state.failSave = true;
|
|
||||||
const editor = page.getByLabel("描述你的设计需求", { exact: true });
|
|
||||||
await editor.fill("分析这张已经保存的图片");
|
|
||||||
await editor.press("Enter");
|
|
||||||
await expect.poll(() => state.submissions.length).toBe(1);
|
|
||||||
expect(state.canvasData.nodes.map(node => node.id)).toEqual(["source"]);
|
|
||||||
expect(errors).toEqual([]);
|
|
||||||
});
|
|
||||||
|
|
||||||
test("only unsaved content blocks closing and beforeunload does not issue duplicate saves", async ({ page }) => {
|
test("only unsaved content blocks closing and beforeunload does not issue duplicate saves", async ({ page }) => {
|
||||||
const { state, errors } = await setup(page);
|
const { state, errors } = await setup(page);
|
||||||
expect(await unloadWouldBeBlocked(page)).toBe(false);
|
expect(await unloadWouldBeBlocked(page)).toBe(false);
|
||||||
@ -164,21 +143,6 @@ test("only unsaved content blocks closing and beforeunload does not issue duplic
|
|||||||
expect(errors).toEqual([]);
|
expect(errors).toEqual([]);
|
||||||
});
|
});
|
||||||
|
|
||||||
test("pagehide and visibilitychange issue only one closing save", async ({ page }) => {
|
|
||||||
const { state, errors } = await setup(page);
|
|
||||||
state.failSave = true;
|
|
||||||
await moveImage(page);
|
|
||||||
const writes = state.writes.length;
|
|
||||||
await page.evaluate(() => {
|
|
||||||
window.dispatchEvent(new Event("pagehide"));
|
|
||||||
Object.defineProperty(document, "visibilityState", { value: "hidden", configurable: true });
|
|
||||||
document.dispatchEvent(new Event("visibilitychange"));
|
|
||||||
});
|
|
||||||
await expect.poll(() => state.writes.length).toBe(writes + 1);
|
|
||||||
expect(state.submissions).toHaveLength(0);
|
|
||||||
expect(errors).toEqual([]);
|
|
||||||
});
|
|
||||||
|
|
||||||
test("leaving with pending changes can continue editing or save before navigating", async ({ page }) => {
|
test("leaving with pending changes can continue editing or save before navigating", async ({ page }) => {
|
||||||
const { state, errors } = await setup(page);
|
const { state, errors } = await setup(page);
|
||||||
await page.route(url => url.pathname === "/", route => route.fulfill({ contentType: "text/html; charset=utf-8", body: "<p>已返回首页</p>" }));
|
await page.route(url => url.pathname === "/", route => route.fulfill({ contentType: "text/html; charset=utf-8", body: "<p>已返回首页</p>" }));
|
||||||
@ -280,7 +244,6 @@ test("toolbar save failures show the cause and recover without a paid submission
|
|||||||
state.failSave = true;
|
state.failSave = true;
|
||||||
await page.locator('[data-tool-key="enhance"]').click();
|
await page.locator('[data-tool-key="enhance"]').click();
|
||||||
await expect(page.getByText(/画布自动同步失败(HTTP 503)/)).toBeVisible();
|
await expect(page.getByText(/画布自动同步失败(HTTP 503)/)).toBeVisible();
|
||||||
await expect(page.getByText(/本次处理未提交/)).toBeVisible();
|
|
||||||
expect(state.capabilitySubmissions).toHaveLength(0);
|
expect(state.capabilitySubmissions).toHaveLength(0);
|
||||||
state.failSave = false;
|
state.failSave = false;
|
||||||
await page.locator('[data-tool-key="enhance"]').click();
|
await page.locator('[data-tool-key="enhance"]').click();
|
||||||
@ -452,70 +415,6 @@ async function countRefreshes(page: Page, state: { appVersion: string }) {
|
|||||||
return () => navigations;
|
return () => navigations;
|
||||||
}
|
}
|
||||||
|
|
||||||
test("unfinished image uploads remain on the page even after their canvas placeholder was saved", async ({ page }) => {
|
|
||||||
const { state, errors } = await setup(page);
|
|
||||||
const refreshes = await countRefreshes(page, state);
|
|
||||||
state.holdUpload = true;
|
|
||||||
await page.mouse.click(100, 90);
|
|
||||||
await page.evaluate(() => {
|
|
||||||
const bytes = Uint8Array.from(atob("iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+j2d0AAAAASUVORK5CYII="), c => c.charCodeAt(0));
|
|
||||||
const transfer = new DataTransfer();
|
|
||||||
transfer.items.add(new File([bytes], "上传保护.png", { type: "image/png" }));
|
|
||||||
window.dispatchEvent(new ClipboardEvent("paste", { clipboardData: transfer, bubbles: true, cancelable: true }));
|
|
||||||
});
|
|
||||||
await expect.poll(() => state.uploadStarted).toBeGreaterThan(0);
|
|
||||||
await expect.poll(() => state.canvasData.nodes.filter(node => node.data.src === "").length).toBe(1);
|
|
||||||
expect(await unloadWouldBeBlocked(page)).toBe(true);
|
|
||||||
await page.getByRole("button", { name: "返回首页", exact: true }).click();
|
|
||||||
const dialog = page.getByRole("dialog", { name: "离开前保存画布?" });
|
|
||||||
await dialog.getByRole("button", { name: "保存并离开", exact: true }).click();
|
|
||||||
await expect(dialog.getByRole("alert")).toContainText("还有图片未上传成功");
|
|
||||||
await dialog.getByRole("button", { name: "继续编辑", exact: true }).click();
|
|
||||||
await showUpdate(page, state);
|
|
||||||
await page.getByRole("button", { name: "同步并刷新", exact: true }).click();
|
|
||||||
await expect(page.getByRole("alertdialog")).toContainText("还有图片未上传成功");
|
|
||||||
expect(refreshes()).toBe(0);
|
|
||||||
state.holdUpload = false;
|
|
||||||
state.finishUpload?.();
|
|
||||||
await expect.poll(() => state.canvasData.nodes.some(node => node.data.src.includes("uploaded.png"))).toBe(true);
|
|
||||||
await page.getByRole("button", { name: "同步并刷新", exact: true }).click();
|
|
||||||
await expect.poll(refreshes).toBe(1);
|
|
||||||
expect(state.canvasData.nodes).toHaveLength(2);
|
|
||||||
expect(state.submissions).toHaveLength(0);
|
|
||||||
expect(errors).toEqual([]);
|
|
||||||
});
|
|
||||||
|
|
||||||
test("a composer upload blocks release refresh and closing until the image and input are retained", async ({ page }) => {
|
|
||||||
const { state, errors } = await setup(page);
|
|
||||||
const refreshes = await countRefreshes(page, state);
|
|
||||||
state.holdUpload = true;
|
|
||||||
const editor = page.getByLabel("描述你的设计需求", { exact: true });
|
|
||||||
await editor.fill("上传后保留这条输入");
|
|
||||||
await editor.evaluate(element => {
|
|
||||||
const transfer = new DataTransfer();
|
|
||||||
transfer.items.add(new File([new Uint8Array([137, 80, 78, 71])], "聊天上传保护.png", { type: "image/png" }));
|
|
||||||
element.dispatchEvent(new ClipboardEvent("paste", { clipboardData: transfer, bubbles: true, cancelable: true }));
|
|
||||||
});
|
|
||||||
await expect.poll(() => state.uploadStarted).toBeGreaterThan(0);
|
|
||||||
await expect(page.getByText("聊天上传保护.png", { exact: true })).toBeVisible();
|
|
||||||
expect(await unloadWouldBeBlocked(page)).toBe(true);
|
|
||||||
await showUpdate(page, state);
|
|
||||||
await page.getByRole("button", { name: "同步并刷新", exact: true }).click();
|
|
||||||
await expect(page.getByRole("alertdialog")).toContainText("素材仍在上传");
|
|
||||||
expect(refreshes()).toBe(0);
|
|
||||||
state.holdUpload = false;
|
|
||||||
state.finishUpload?.();
|
|
||||||
await expect.poll(() => state.canvasData.nodes.some(node => node.data.src.includes("uploaded.png"))).toBe(true);
|
|
||||||
await expect(page.getByText("聊天上传保护.png", { exact: true })).toHaveCount(1);
|
|
||||||
await page.getByRole("button", { name: "同步并刷新", exact: true }).click();
|
|
||||||
await expect.poll(refreshes).toBe(1);
|
|
||||||
await expect(editor).toContainText("上传后保留这条输入");
|
|
||||||
await expect(editor.getByText("聊天上传保护.png", { exact: true })).toBeVisible();
|
|
||||||
expect(state.canvasData.nodes).toHaveLength(2);
|
|
||||||
expect(state.submissions).toHaveLength(0);
|
|
||||||
expect(errors).toEqual([]);
|
|
||||||
});
|
|
||||||
|
|
||||||
test("an older browser without AbortSignal static helpers receives the release notice", async ({ page }) => {
|
test("an older browser without AbortSignal static helpers receives the release notice", async ({ page }) => {
|
||||||
await page.context().addInitScript(() => {
|
await page.context().addInitScript(() => {
|
||||||
Object.defineProperty(AbortSignal, "any", { value: undefined, configurable: true });
|
Object.defineProperty(AbortSignal, "any", { value: undefined, configurable: true });
|
||||||
@ -590,19 +489,9 @@ test("an update keeps the current page when automatic synchronization fails", as
|
|||||||
await showUpdate(page, state);
|
await showUpdate(page, state);
|
||||||
await page.getByRole("button", { name: "同步并刷新", exact: true }).click();
|
await page.getByRole("button", { name: "同步并刷新", exact: true }).click();
|
||||||
await expect(page.getByRole("alertdialog")).toContainText("HTTP 503");
|
await expect(page.getByRole("alertdialog")).toContainText("HTTP 503");
|
||||||
await expect(page.getByRole("alertdialog")).not.toContainText("本次任务未提交");
|
|
||||||
await expect(page.getByRole("alertdialog")).not.toContainText("再次发送");
|
|
||||||
expect(refreshes()).toBe(0);
|
expect(refreshes()).toBe(0);
|
||||||
expect(state.submissions).toHaveLength(0);
|
expect(state.submissions).toHaveLength(0);
|
||||||
await page.screenshot({ path: test.info().outputPath("update-error-desktop.png"), animations: "disabled" });
|
|
||||||
await page.setViewportSize({ width: 390, height: 844 });
|
|
||||||
await page.screenshot({ path: test.info().outputPath("update-error-mobile.png"), animations: "disabled" });
|
|
||||||
await page.setViewportSize({ width: 1440, height: 900 });
|
|
||||||
await page.getByRole("button", { name: "返回处理", exact: true }).click();
|
|
||||||
await expect(page.getByRole("alertdialog")).toHaveCount(0);
|
|
||||||
await expect(page.locator('[data-canvas-node-id="source"]')).toBeVisible();
|
|
||||||
state.failSave = false;
|
state.failSave = false;
|
||||||
await showUpdate(page, state);
|
|
||||||
await page.getByRole("button", { name: "同步并刷新", exact: true }).click();
|
await page.getByRole("button", { name: "同步并刷新", exact: true }).click();
|
||||||
await expect.poll(refreshes).toBe(1);
|
await expect.poll(refreshes).toBe(1);
|
||||||
expect(state.canvasData.nodes[0].position.x).toBeGreaterThan(160);
|
expect(state.canvasData.nodes[0].position.x).toBeGreaterThan(160);
|
||||||
|
|||||||
@ -1,36 +1,21 @@
|
|||||||
import { expect, test } from "@playwright/test";
|
import { expect, test } from "@playwright/test";
|
||||||
import { serverLoader } from "../helpers/canvas-download-server-loader";
|
import { serverLoader } from "../helpers/canvas-download-server-loader";
|
||||||
import { applyAgentImagePreferences, agentProviderImageParameters } from "@/lib/ai/canvas-agent-runtime/image-preferences";
|
import { applyAgentImagePreferences, agentProviderImageParameters } from "@/lib/ai/canvas-agent-runtime/image-preferences";
|
||||||
import type { AgentCallRecord } from "@/lib/ai/canvas-agent-runtime/protocol";
|
|
||||||
|
|
||||||
const preferences = {
|
const preferences = {
|
||||||
modelId: "user-image-model",
|
modelId: "user-image-model",
|
||||||
parameters: { imageCount: 3, aspectRatio: "3:4", imageSize: "4K", negativePrompt: "不要文字",
|
parameters: { imageCount: 3, aspectRatio: "3:4", imageSize: "4K", negativePrompt: "不要文字",
|
||||||
quality: "high" as const, size: "1536*2048", promptExtend: false, watermark: false, seed: 0 },
|
quality: "high" as const, size: "1536*2048", promptExtend: false, watermark: false, seed: 0 },
|
||||||
};
|
};
|
||||||
function harness(results?: any[] | ((count: number) => any[])) {
|
function harness(results?: any[]) {
|
||||||
const saved: any[] = [];
|
const saved: any[] = [];
|
||||||
const generated: any[] = [];
|
const generated: any[] = [];
|
||||||
const operations: any[] = [];
|
const operations: any[] = [];
|
||||||
const mock = serverLoader({
|
const mock = serverLoader({
|
||||||
"@/lib/canvas/capabilities/ai-sdk-tools": { createCanvasCapabilityTools: async () => ({ editTargetImage: {} }) },
|
"@/lib/canvas/capabilities/ai-sdk-tools": { createCanvasCapabilityTools: async () => ({ editTargetImage: {} }) },
|
||||||
"@/lib/canvas/capabilities/registry": { CANVAS_CAPABILITY_REGISTRY: [{ id: "image.prompt_regenerate", title: "重绘", risk: "external", agent: { toolName: "editTargetImage" } }] },
|
"@/lib/canvas/capabilities/registry": { CANVAS_CAPABILITY_REGISTRY: [{ id: "image.prompt_regenerate", title: "重绘", risk: "external", agent: { toolName: "editTargetImage" } }] },
|
||||||
"@/lib/canvas/agent-mutations": {
|
"@/lib/canvas/agent-mutations": { applyCanvasOperationPlan: async (value: any) => { operations.push(value); return { createdNodeIds: ["new-image"] }; } },
|
||||||
applyCanvasOperationPlan: async (value: any) => {
|
"@/lib/canvas/generate-image": { generateCanvasImage: async (value: any) => { generated.push(value); return { modelRef: results ? "backup" : value.model, images: results || [{ originalUrl: "https://test.example/result.png", thumbnailUrl: "https://test.example/thumb.png" }] }; } },
|
||||||
operations.push(value);
|
|
||||||
return { createdNodeIds: value.plan.mediaItems.map((item: { mediaItemId: string }) => item.mediaItemId) };
|
|
||||||
},
|
|
||||||
},
|
|
||||||
"@/lib/canvas/generate-image": {
|
|
||||||
generateCanvasImage: async (value: any) => {
|
|
||||||
generated.push(value);
|
|
||||||
const images = typeof results === "function" ? results(value.imageCount) : results;
|
|
||||||
return {
|
|
||||||
modelRef: Array.isArray(results) ? "backup" : value.model,
|
|
||||||
images: images ?? [{ originalUrl: "https://test.example/result.png", thumbnailUrl: "https://test.example/thumb.png" }],
|
|
||||||
};
|
|
||||||
},
|
|
||||||
},
|
|
||||||
"@/lib/ai/runtime/generated-image-persistence": { saveGeneratedImages: async (...args: any[]) => { saved.push(args); } },
|
"@/lib/ai/runtime/generated-image-persistence": { saveGeneratedImages: async (...args: any[]) => { saved.push(args); } },
|
||||||
"@/lib/ai/model-router": { routeToModel: async () => ({ id: "system-default" }) },
|
"@/lib/ai/model-router": { routeToModel: async () => ({ id: "system-default" }) },
|
||||||
"@/lib/db/queries": { checkUserImageQuota: async () => ({ allowed: true, remaining: 10 }), getPointsSystemConfig: async () => ({ enabled: false }), getUserById: async () => ({}) },
|
"@/lib/db/queries": { checkUserImageQuota: async () => ({ allowed: true, remaining: 10 }), getPointsSystemConfig: async () => ({ enabled: false }), getUserById: async () => ({}) },
|
||||||
@ -42,10 +27,10 @@ function harness(results?: any[] | ((count: number) => any[])) {
|
|||||||
"./review": {},
|
"./review": {},
|
||||||
"./image-access-tools": { registerImageCanvasAccessTools() {} },
|
"./image-access-tools": { registerImageCanvasAccessTools() {} },
|
||||||
});
|
});
|
||||||
const build = async (imagePreferences: any = preferences, priorCalls?: AgentCallRecord[]) => mock("lib/ai/canvas-agent-runtime/tools.ts").buildCanvasRuntimeTools({
|
const build = async (imagePreferences: any = preferences) => mock("lib/ai/canvas-agent-runtime/tools.ts").buildCanvasRuntimeTools({
|
||||||
userId: "u", chatId: "c", projectId: "p", runId: "r", assistantMessageId: "a", selectedNodeIds: ["reference"],
|
userId: "u", chatId: "c", projectId: "p", runId: "r", assistantMessageId: "a", selectedNodeIds: ["reference"],
|
||||||
request: new Request("https://test.example/api/canvas/agent-chat"), model: {}, supportsVision: true,
|
request: new Request("https://test.example/api/canvas/agent-chat"), model: {}, supportsVision: true,
|
||||||
preferredModelId: "system-default", imagePreferences, priorCalls, emit() {},
|
preferredModelId: "system-default", imagePreferences, emit() {},
|
||||||
});
|
});
|
||||||
return { build, generated, operations, saved };
|
return { build, generated, operations, saved };
|
||||||
}
|
}
|
||||||
@ -62,35 +47,12 @@ test("real generation tool honors the chosen image model and all parameters desp
|
|||||||
providerImageParams: { quality: "high", size: "1536*2048", watermark: false, seed: 0 } });
|
providerImageParams: { quality: "high", size: "1536*2048", watermark: false, seed: 0 } });
|
||||||
expect(output.appliedImagePreferences).toEqual({ modelId: "user-image-model", imageCount: 3, imageSize: "4K", aspectRatio: "3:4" });
|
expect(output.appliedImagePreferences).toEqual({ modelId: "user-image-model", imageCount: 3, imageSize: "4K", aspectRatio: "3:4" });
|
||||||
});
|
});
|
||||||
test("redraw and generation share the task limit and only fill the missing images", async () => {
|
test("redraw and a corrective retry inherit the same user model, batch and image controls", async () => {
|
||||||
const image = { originalUrl: "https://test.example/result.png", thumbnailUrl: "https://test.example/thumb.png" };
|
const h = harness(); const tools = await h.build();
|
||||||
const h = harness(count => Array.from({ length: count === 3 ? 1 : count }, () => image));
|
await tools.executable.editTargetImage.execute({ nodeIds: ["reference"], args: { prompt: "换背景", modelId: "system-default" } }, "edit-1");
|
||||||
const tools = await h.build();
|
await tools.executable.generateCanvasImages.execute({ prompt: "修正背景", modelId: "system-default" }, "retry-1");
|
||||||
const first = await tools.executable.editTargetImage.execute({ nodeIds: ["reference"], args: { prompt: "换背景", modelId: "system-default" } }, "edit-1");
|
|
||||||
expect(first.status).toBe("partial");
|
|
||||||
const filled = await tools.executable.generateCanvasImages.execute({ prompt: "补齐图片", modelId: "system-default" }, "fill-1");
|
|
||||||
expect(filled.status).toBe("succeeded");
|
|
||||||
await expect(tools.executable.generateCanvasImages.execute({ prompt: "再次修正" }, "retry-1")).rejects.toThrow("张数已占满");
|
|
||||||
expect(h.generated).toHaveLength(2);
|
|
||||||
expect(h.generated.map(call => call.imageCount)).toEqual([3, 2]);
|
|
||||||
for (const invocation of h.generated) expect(invocation).toMatchObject({ model: preferences.modelId, imageSize: "4K", aspectRatio: "3:4", allowFailover: false });
|
|
||||||
});
|
|
||||||
|
|
||||||
test("one selected image allows only one submission even when calls overlap or the task resumes", async () => {
|
|
||||||
const h = harness();
|
|
||||||
const selection = { parameters: { imageCount: 1 } };
|
|
||||||
const tools = await h.build(selection);
|
|
||||||
const generate = (callId: string) => tools.executable.generateCanvasImages.execute({ prompt: "修改图片" }, callId);
|
|
||||||
const [first, duplicate] = await Promise.allSettled([generate("original"), generate("parallel")]);
|
|
||||||
expect(first.status).toBe("fulfilled");
|
|
||||||
expect(duplicate.status).toBe("rejected");
|
|
||||||
if (first.status !== "fulfilled") throw first.reason;
|
|
||||||
const resumed = await h.build(selection, [{ id: "original", name: "generateCanvasImages", input: {}, status: "succeeded", output: first.value }]);
|
|
||||||
await expect(resumed.executable.generateCanvasImages.execute({ prompt: "继续" }, "resume")).rejects.toThrow("张数已占满");
|
|
||||||
expect(h.generated).toHaveLength(1);
|
|
||||||
const next = await h.build(selection);
|
|
||||||
await next.executable.generateCanvasImages.execute({ prompt: "用户新指令" }, "next");
|
|
||||||
expect(h.generated).toHaveLength(2);
|
expect(h.generated).toHaveLength(2);
|
||||||
|
for (const invocation of h.generated) expect(invocation).toMatchObject({ model: preferences.modelId, imageSize: "4K", imageCount: 3, aspectRatio: "3:4", allowFailover: false });
|
||||||
});
|
});
|
||||||
test("an unavailable explicit choice never silently generates or charges through the default", async () => {
|
test("an unavailable explicit choice never silently generates or charges through the default", async () => {
|
||||||
const h = harness(); const tools = await h.build({ ...preferences, modelId: "disabled-or-missing" });
|
const h = harness(); const tools = await h.build({ ...preferences, modelId: "disabled-or-missing" });
|
||||||
|
|||||||
@ -94,17 +94,6 @@ test("checks real image bytes and compares results to their source images", asyn
|
|||||||
expect(result.issues).toEqual([]);
|
expect(result.issues).toEqual([]);
|
||||||
});
|
});
|
||||||
|
|
||||||
test("a partial image batch can be filled and verified without discarding the first result", async () => {
|
|
||||||
const f = await fixture('{"passed":true,"issues":[],"failedNodeIds":[]}');
|
|
||||||
const { snapshot } = f.params;
|
|
||||||
snapshot.requirements = { expectedImageCount: 2 };
|
|
||||||
snapshot.calls[1].output = { status: "partial", createdNodeIds: ["result"], appliedImagePreferences: { imageCount: 2 } };
|
|
||||||
await expect(verifyCanvasAgentResults(f.params)).resolves.toMatchObject({ passed: false, retryable: true });
|
|
||||||
snapshot.resultNodeIds.push("remaining-result");
|
|
||||||
snapshot.calls.push({ id: "fill", name: "generateCanvasImages", input: {}, status: "succeeded", output: { status: "succeeded", createdNodeIds: ["remaining-result"] } });
|
|
||||||
await expect(verifyCanvasAgentResults(f.params)).resolves.toMatchObject({ passed: true });
|
|
||||||
});
|
|
||||||
|
|
||||||
test("malformed vision JSON switches models, while a valid failed review never triggers failover", async () => {
|
test("malformed vision JSON switches models, while a valid failed review never triggers failover", async () => {
|
||||||
const bad = await fixture("not JSON");
|
const bad = await fixture("not JSON");
|
||||||
const validNegative = await fixture('{"passed":false,"issues":["主体不一致"],"failedNodeIds":["result"]}');
|
const validNegative = await fixture('{"passed":false,"issues":["主体不一致"],"failedNodeIds":["result"]}');
|
||||||
|
|||||||
@ -30,26 +30,6 @@ function fixture() {
|
|||||||
|
|
||||||
const result = { type: "result", sessionId: "test-session", response: "已完成" };
|
const result = { type: "result", sessionId: "test-session", response: "已完成" };
|
||||||
|
|
||||||
test("a failed quality check keeps the single generated image without opening a repair round", async () => {
|
|
||||||
const { ports, run, snapshot } = fixture();
|
|
||||||
snapshot.imagePreferences = { parameters: { imageCount: 1 } };
|
|
||||||
let attempts = 0;
|
|
||||||
ports.tools.generateCanvasImages.execute = async () => ({
|
|
||||||
createdNodeIds: ["generated-image"], appliedImagePreferences: { imageCount: 1 },
|
|
||||||
});
|
|
||||||
ports.native = async options => {
|
|
||||||
attempts++;
|
|
||||||
await options.execute("planCanvasTask", {}, "plan", options.signal!);
|
|
||||||
await options.execute("generateCanvasImages", { referenceNodeIds: ["original"] }, "gen", options.signal!);
|
|
||||||
return { ...result, response: "图片已生成,正在检查" };
|
|
||||||
};
|
|
||||||
ports.verify = async () => ({ passed: false, issues: ["主体细节不符"], retryable: true, failedNodeIds: ["generated-image"] });
|
|
||||||
expect(await run(ports)).toBe("needs_review");
|
|
||||||
expect(attempts).toBe(1);
|
|
||||||
expect(snapshot.resultNodeIds).toEqual(["generated-image"]);
|
|
||||||
expect(snapshot.message).toMatch(/主体细节不符[\s\S]*如需再生成,请发送新指令/);
|
|
||||||
});
|
|
||||||
|
|
||||||
test("an unconfirmed paid tool stops the planner and immediately preserves the reason and original request ID", async () => {
|
test("an unconfirmed paid tool stops the planner and immediately preserves the reason and original request ID", async () => {
|
||||||
const { ports, run, snapshot } = fixture();
|
const { ports, run, snapshot } = fixture();
|
||||||
const emitted: string[] = [], saved: string[] = [];
|
const emitted: string[] = [], saved: string[] = [];
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user