chore(release): 版本发布 - publish v1.0.12

This commit is contained in:
ddCat
2026-07-28 21:55:42 +08:00
parent 7ee2125ab4
commit 7093b4e161
19 changed files with 99 additions and 111 deletions

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@@ -2,6 +2,11 @@
## Unreleased
## v1.0.12
- 画布退役生成配置节点的新建入口,文本生图、图片反推、导演台及 Agent 编排改为直接创建对应类型的生成目标节点。
- 历史生成配置节点继续保持读取和执行兼容,直接文本目标支持按数量参数批量生成结果。
## v1.0.11
- 修复 PostgreSQL 请求明细分页继承 `DISTINCT` 后与创建时间排序冲突的问题,恢复管理后台列表读取。

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@@ -1 +1 @@
v1.0.11
v1.0.12

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@@ -1188,7 +1188,7 @@ func buildAgentStoryboardResult(task model.Task, plan agentStoryboardPlan, asset
assetIDs = append(assetIDs, asset.ID)
}
ops = append(ops,
nodeOpWithMetadata(shotID, "config", fmt.Sprintf("镜头 %d · %s", index+1, shortTitle(shot.Title, 18)), index*360, 560, map[string]any{
nodeOpWithMetadata(shotID, "video", fmt.Sprintf("镜头 %d · %s", index+1, shortTitle(shot.Title, 18)), index*360, 560, map[string]any{
"workflowKind": "shot",
"workflowTitle": shot.Title,
"workflowDescription": shotDescription(shot),
@@ -1526,7 +1526,7 @@ func buildAgentResult(task model.Task) (map[string]any, []map[string]any) {
ops := []map[string]any{
nodeOp("script-"+task.ID, "text", "剧本 · "+title, 0, 0, "script", task.Prompt),
nodeOp("scene-"+task.ID, "text", "场景 · 主场景", 380, 0, "scene", "主场景设定、角色关系、视觉风格。"),
nodeOp("shot-"+task.ID, "config", "分镜 · 镜头 1", 760, 0, "shot", task.Prompt),
nodeOpWithMetadata("shot-"+task.ID, "video", "分镜 · 镜头 1", 760, 0, map[string]any{"workflowKind": "shot", "status": "idle", "generationMode": "video", "prompt": task.Prompt, "composerContent": task.Prompt, "videoEditOperation": "text_to_video"}),
nodeOp("final-"+task.ID, "video", "成片 · 待生成", 1140, 0, "final", ""),
connectOp("script-"+task.ID, "scene-"+task.ID),
connectOp("scene-"+task.ID, "shot-"+task.ID),
@@ -1555,7 +1555,7 @@ func buildVideoWorkflowResult(task model.Task) (map[string]any, []map[string]any
ops := []map[string]any{
nodeOp("video-brief-"+task.ID, "text", "编辑需求 · "+title, 0, 0, "script", task.Prompt),
nodeOpWithMetadata("video-ref-"+task.ID, "text", "参考素材组", 380, 0, map[string]any{"workflowKind": "reference_set", "status": "idle", "content": "原片、参考图、参考音频、风格板或历史版本。", "videoEditOperation": operation}),
nodeOpWithMetadata("video-shot-"+task.ID, "config", "视频任务 · "+operation, 760, 0, map[string]any{"workflowKind": "shot", "status": "idle", "generationMode": "video", "prompt": task.Prompt, "composerContent": task.Prompt, "videoEditOperation": operation}),
nodeOpWithMetadata("video-shot-"+task.ID, "video", "视频任务 · "+operation, 760, 0, map[string]any{"workflowKind": "shot", "status": "idle", "generationMode": "video", "prompt": task.Prompt, "composerContent": task.Prompt, "videoEditOperation": operation}),
nodeOpWithMetadata("video-result-"+task.ID, "video", "结果版本 · 待回填", 1140, 0, map[string]any{"workflowKind": "final", "status": "idle", "videoEditOperation": operation, "versionLabel": "v1"}),
connectOp("video-brief-"+task.ID, "video-ref-"+task.ID),
connectOp("video-ref-"+task.ID, "video-shot-"+task.ID),

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@@ -86,16 +86,6 @@ export class CanvasSession {
input = { ops: generationFlowOps({ ...(input as Record<string, unknown>), mode: "image" }, this.canvasState) };
tool = "canvas_apply_ops";
}
if (tool === "canvas_create_config_node") {
const data = input as Record<string, unknown>;
const x = Number(data.x ?? nextCanvasX(this.canvasState));
const y = Number(data.y ?? 0);
const configId = `config-${crypto.randomUUID()}`;
const mode = generationMode(data.mode);
const prompt = String(data.prompt || "");
input = { ops: [configNodeOp(configId, data, x, y), ...(data.autoRun ? [runGenerationOp(configId, mode, prompt)] : [])] };
tool = "canvas_apply_ops";
}
if (tool === "canvas_create_generation_flow") {
input = { ops: generationFlowOps(input as Record<string, unknown>, this.canvasState) };
tool = "canvas_apply_ops";
@@ -179,18 +169,21 @@ function textNodeOp(input: { id?: string; text?: string; title?: string; width?:
return { type: "add_node", id: input.id, nodeType: "text", title: input.title, position: { x, y }, width: input.width, height: input.height, metadata: { content: input.text || "", status: "success", fontSize: 14 } };
}
function configNodeOp(id: string, input: Record<string, unknown>, x: number, y: number) {
function generationTargetNodeOp(id: string, input: Record<string, unknown>, x: number, y: number) {
const mode = generationMode(input.mode);
const prompt = String(input.prompt || "");
const nodeType = generationNodeType(mode);
return {
type: "add_node",
id,
nodeType: "config",
nodeType,
title: String(input.title || generationTitle(mode)),
position: { x, y },
width: typeof input.width === "number" ? input.width : undefined,
height: typeof input.height === "number" ? input.height : undefined,
metadata: cleanRecord({
content: "",
fontSize: nodeType === "text" ? 14 : undefined,
generationMode: mode,
composerContent: prompt,
prompt,
@@ -198,6 +191,7 @@ function configNodeOp(id: string, input: Record<string, unknown>, x: number, y:
model: input.model,
size: input.size,
quality: input.quality,
transparentBackground: input.transparentBackground,
count: input.count,
seconds: input.seconds,
vquality: input.vquality,
@@ -217,20 +211,27 @@ function generationFlowOps(input: Record<string, unknown>, state: CanvasSnapshot
const x = Number(input.x ?? nextCanvasX(state));
const y = Number(input.y ?? 0);
const textId = `text-${crypto.randomUUID()}`;
const configId = `config-${crypto.randomUUID()}`;
const targetId = `${mode}-${crypto.randomUUID()}`;
const referenceNodeIds = Array.isArray(input.referenceNodeIds) ? input.referenceNodeIds.filter((id): id is string => typeof id === "string") : [];
const tokens = [`@[node:${textId}]`, ...referenceNodeIds.map((id) => `@[node:${id}]`)];
const configInput = { ...input, prompt: tokens.join("\n") };
const targetInput = { ...input, prompt: tokens.join("\n") };
return [
textNodeOp({ id: textId, text: prompt, title: String(input.title || "提示词") }, x, y),
configNodeOp(configId, configInput, x + 420, y),
{ type: "connect_nodes", fromNodeId: textId, toNodeId: configId },
...referenceNodeIds.map((fromNodeId) => ({ type: "connect_nodes", fromNodeId, toNodeId: configId })),
{ type: "select_nodes", ids: [configId] },
...(input.autoRun ? [runGenerationOp(configId, mode, tokens.join("\n"))] : []),
generationTargetNodeOp(targetId, targetInput, x + 420, y),
{ type: "connect_nodes", fromNodeId: textId, toNodeId: targetId },
...referenceNodeIds.map((fromNodeId) => ({ type: "connect_nodes", fromNodeId, toNodeId: targetId })),
{ type: "select_nodes", ids: [targetId] },
...(input.autoRun ? [runGenerationOp(targetId, mode, tokens.join("\n"))] : []),
];
}
function generationNodeType(mode: "text" | "image" | "video" | "audio"): CanvasNodeType {
if (mode === "text") return "text";
if (mode === "video") return "video";
if (mode === "audio") return "audio";
return "image";
}
function runGenerationOp(nodeId: string, mode: "text" | "image" | "video" | "audio", prompt?: string) {
return { type: "run_generation", nodeId, mode, prompt };
}

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@@ -7,7 +7,7 @@ export const DEFAULT_PORT = 17371;
export const CONFIG_DIR = path.join(os.homedir(), ".infinite-canvas");
export const CONFIG_FILE = path.join(CONFIG_DIR, "canvas-agent.json");
export const VERSION = readPackageVersion();
export const AGENT_PROMPT = "你正在帮助用户操作影策网页画布。需要改动画布时优先使用已配置的 infinite-canvas MCP 工具:先 canvas_get_state 读取当前画布,再根据任务使用 canvas_create_text_node、canvas_generate_text、canvas_generate_image、canvas_generate_video、canvas_generate_audio、canvas_create_generation_flow、canvas_create_config_node、canvas_run_generation、canvas_update_node、canvas_connect_nodes 等通用工具;复杂批量改动再用 canvas_apply_ops,删除连线可用 delete_connections。需要生成内容时直接调用对应生成工具,不要绑定特定业务场景。不要模拟鼠标点击,不要要求用户手动复制 JSON。";
export const AGENT_PROMPT = "你正在帮助用户操作影策网页画布。需要改动画布时优先使用已配置的 infinite-canvas MCP 工具:先 canvas_get_state 读取当前画布,再根据任务使用 canvas_create_text_node、canvas_generate_text、canvas_generate_image、canvas_generate_video、canvas_generate_audio、canvas_create_generation_flow、canvas_run_generation、canvas_update_node、canvas_connect_nodes 等通用工具;复杂批量改动再用 canvas_apply_ops,删除连线可用 delete_connections。需要生成内容时直接调用对应生成工具,不要绑定特定业务场景。不要模拟鼠标点击,不要要求用户手动复制 JSON。";
export type CanvasWorkspaceConfig = { workspacePath: string; activeThreadId?: string; pinnedThreadIds?: string[] };
export type CanvasAgentConfig = { url: string; token: string; origins?: string[]; canvases?: Record<string, CanvasWorkspaceConfig> };

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@@ -3,7 +3,7 @@ import { z } from "zod";
const recordSchema = z.record(z.unknown());
const positionSchema = z.object({ x: z.number(), y: z.number() });
const viewportSchema = z.object({ x: z.number(), y: z.number(), k: z.number() });
const nodeTypeSchema = z.enum(["image", "text", "script", "config", "video", "audio", "frame"]);
const nodeTypeSchema = z.enum(["image", "text", "script", "video", "audio", "frame"]);
const generationModeSchema = z.enum(["text", "image", "video", "audio"]);
const projectIdSchema = z.string().min(1).optional();
const projectCandidateSchema = z.object({ unitId: z.string().optional(), shotId: z.string().optional(), name: z.string().min(1), category: z.string().min(1), details: recordSchema.optional() });
@@ -17,7 +17,6 @@ export const toolNames = [
"canvas_create_node",
"canvas_create_text_node",
"canvas_create_text_nodes",
"canvas_create_config_node",
"canvas_create_image_prompt_flow",
"canvas_create_generation_flow",
"canvas_generate_text",
@@ -97,7 +96,6 @@ export const toolInputSchemas = {
canvas_create_node: z.object({ nodeType: nodeTypeSchema, title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), metadata: recordSchema.optional() }),
canvas_create_text_node: z.object({ text: z.string().optional(), x: z.number().optional(), y: z.number().optional(), title: z.string().optional(), width: z.number().optional(), height: z.number().optional() }),
canvas_create_text_nodes: z.object({ items: z.array(textNodeSchema).min(1), x: z.number().optional(), y: z.number().optional(), gap: z.number().optional(), direction: z.enum(["row", "column"]).optional() }),
canvas_create_config_node: z.object({ prompt: z.string().optional(), mode: generationModeSchema.optional(), title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
canvas_create_image_prompt_flow: z.object({ prompt: z.string(), x: z.number().optional(), y: z.number().optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
canvas_create_generation_flow: generationFlowSchema.extend({ mode: generationModeSchema.optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
canvas_generate_text: generationFlowSchema.merge(generationOptionsSchema),
@@ -130,12 +128,11 @@ export const toolDescriptions: Record<ToolName, string> = {
canvas_get_selection: "读取当前网页画布选中的节点。",
canvas_export_snapshot: "导出当前画布快照,用于理解布局。",
canvas_apply_ops: "批量操作当前网页画布。ops 支持 add_node、update_node、delete_node、delete_connections、connect_nodes、set_viewport、select_nodes、run_generation。",
canvas_create_node: "创建任意类型节点:text、script、image、config、video、audio、frame。适合创建脚本、媒体占位、配置节点、背板或自定义 metadata 节点。",
canvas_create_node: "创建任意类型节点:text、script、image、video、audio、frame。适合创建脚本、媒体占位、背板或自定义 metadata 节点。",
canvas_create_text_node: "在当前画布创建单个文本节点。",
canvas_create_text_nodes: "批量创建文本节点,适合生成标题、段落、脚本、说明等内容块。",
canvas_create_config_node: "创建生成配置节点,可指定 text/image/video/audio 模式和生成参数,可选择立即触发生成。",
canvas_create_image_prompt_flow: "创建提示词文本节点和图片生成配置节点,并自动连线,可选择立即触发生图。",
canvas_create_generation_flow: "创建通用生成流程:提示词文本节点、生成配置节点、参考节点连线,可用于文案、生图、视频或音频。",
canvas_create_image_prompt_flow: "创建提示词文本节点和图片目标节点并自动连线,可选择立即触发生图。",
canvas_create_generation_flow: "创建通用生成流程:提示词文本节点、对应类型的生成目标节点和参考节点连线,可用于文案、生图、视频或音频。",
canvas_generate_text: "创建通用文本生成流程并立即触发生成。",
canvas_generate_image: "创建通用图片生成流程并立即触发生成。",
canvas_generate_video: "创建通用视频生成流程并立即触发生成。",

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@@ -13,7 +13,7 @@ description: 操作影策当前网页画布,读取节点、选区、创建文
- 操作前先用 `canvas_get_state` 读取当前画布;如果用户明确提到选中内容、当前节点或“这个”,先用 `canvas_get_selection`。
- 创建单个文本内容优先用 `canvas_create_text_node`。
- 创建生成内容优先用 `canvas_generate_text`、`canvas_generate_image`、`canvas_generate_video`、`canvas_generate_audio`。
- 需要把提示词、配置和生成节点串成流程时,使用 `canvas_create_generation_flow` 或项目已有的流程工具。
- 需要把提示词、参考素材和生成目标节点串成流程时,使用 `canvas_create_generation_flow` 或项目已有的流程工具。
- 需要批量增删改、移动、连接节点或设置视口时,使用 `canvas_apply_ops`。
- 不要模拟鼠标点击,不要要求用户手动复制 JSON。
- 写入画布的操作会由网页侧边栏做二次确认,按当前工具结果继续推进即可。
@@ -21,7 +21,7 @@ description: 操作影策当前网页画布,读取节点、选区、创建文
## 风格
- 页面文案和画布节点内容默认使用中文。
- 生成节点、配置节点和提示词节点要保持结构清晰,方便用户继续编辑。
- 生成目标节点和提示词节点要保持结构清晰,方便用户继续编辑。
- 批量创建节点时注意给节点留出间距,不要堆叠在同一个位置。
- 图片、视频、音频等媒体节点默认保留原始比例;只有用户明确要求自由变形时才改变比例。
- 生成流程尽量少而清楚,优先让用户一眼能看懂节点关系。

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@@ -31,7 +31,7 @@ const ONLINE_AGENT_PROMPT =
const JSON_RECORD_SCHEMA = { type: "object", additionalProperties: true };
const POSITION_SCHEMA = { type: "object", properties: { x: { type: "number" }, y: { type: "number" } }, required: ["x", "y"], additionalProperties: false };
const VIEWPORT_SCHEMA = { type: "object", properties: { x: { type: "number" }, y: { type: "number" }, k: { type: "number" } }, required: ["x", "y", "k"], additionalProperties: false };
const NODE_TYPE_SCHEMA = { type: "string", enum: ["image", "text", "skill", "config", "video", "audio"] };
const NODE_TYPE_SCHEMA = { type: "string", enum: ["image", "text", "skill", "video", "audio"] };
const GENERATION_MODE_SCHEMA = { type: "string", enum: ["text", "image", "video", "audio"] };
const GENERATION_OPTION_PROPERTIES = {
model: { type: "string" },
@@ -94,13 +94,12 @@ const ONLINE_AGENT_TOOLS: ResponseFunctionTool[] = [
toolDefinition("canvas_get_selection", "读取当前网页画布选中的节点。", {}),
toolDefinition("canvas_export_snapshot", "导出当前画布快照,用于理解布局。", {}),
toolDefinition("canvas_apply_ops", "批量操作当前网页画布。ops 支持 add_node、update_node、delete_node、delete_connections、connect_nodes、set_viewport、select_nodes、run_generation。", { ops: { type: "array", items: CANVAS_OP_SCHEMA } }, ["ops"], false),
toolDefinition("canvas_create_node", "创建任意类型节点:text、image、config、video、audio。适合创建占位图、媒体占位、配置节点或自定义 metadata 节点。", { nodeType: NODE_TYPE_SCHEMA, title: { type: "string" }, x: { type: "number" }, y: { type: "number" }, width: { type: "number" }, height: { type: "number" }, metadata: JSON_RECORD_SCHEMA }, ["nodeType"]),
toolDefinition("canvas_create_node", "创建任意类型节点:text、image、video、audio。适合创建文本、媒体占位或自定义 metadata 节点。", { nodeType: NODE_TYPE_SCHEMA, title: { type: "string" }, x: { type: "number" }, y: { type: "number" }, width: { type: "number" }, height: { type: "number" }, metadata: JSON_RECORD_SCHEMA }, ["nodeType"]),
toolDefinition("canvas_create_text_node", "在当前画布创建单个文本节点。", { text: { type: "string" }, x: { type: "number" }, y: { type: "number" }, title: { type: "string" }, width: { type: "number" }, height: { type: "number" } }),
toolDefinition("canvas_create_text_nodes", "批量创建文本节点,适合生成标题、段落、脚本、说明等内容块。", { items: { type: "array", minItems: 1, items: { type: "object", properties: { text: { type: "string" }, title: { type: "string" }, x: { type: "number" }, y: { type: "number" }, width: { type: "number" }, height: { type: "number" } }, required: ["text"], additionalProperties: false } }, x: { type: "number" }, y: { type: "number" }, gap: { type: "number" }, direction: { type: "string", enum: ["row", "column"] } }, ["items"]),
toolDefinition("canvas_create_cinematic_session", "把自然语言创作指令提交给后端影视 Agent 会话,后端拆解为剧本、场景、分镜、镜头和成片节点,并返回可写回画布的操作。", { prompt: { type: "string" } }, ["prompt"]),
toolDefinition("canvas_create_config_node", "创建生成配置节点,可指定 text/image/video/audio 模式和生成参数,可选择立即触发生成。", { prompt: { type: "string" }, mode: GENERATION_MODE_SCHEMA, title: { type: "string" }, x: { type: "number" }, y: { type: "number" }, width: { type: "number" }, height: { type: "number" }, autoRun: { type: "boolean" }, ...GENERATION_OPTION_PROPERTIES }),
toolDefinition("canvas_create_image_prompt_flow", "创建提示词文本节点和图片生成配置节点,并自动连线,可选择立即触发生图。", { prompt: { type: "string" }, x: { type: "number" }, y: { type: "number" }, autoRun: { type: "boolean" }, ...GENERATION_OPTION_PROPERTIES }, ["prompt"]),
generationToolDefinition("canvas_create_generation_flow", "创建通用生成流程:提示词文本节点、生成配置节点、参考节点连线,可用于文案、生图、视频或音频。"),
toolDefinition("canvas_create_image_prompt_flow", "创建提示词文本节点和图片目标节点并自动连线,可选择立即触发生图。", { prompt: { type: "string" }, x: { type: "number" }, y: { type: "number" }, autoRun: { type: "boolean" }, ...GENERATION_OPTION_PROPERTIES }, ["prompt"]),
generationToolDefinition("canvas_create_generation_flow", "创建通用生成流程:提示词文本节点、对应类型的生成目标节点和参考节点连线,可用于文案、生图、视频或音频。"),
generationToolDefinition("canvas_generate_text", "创建通用文本生成流程并立即触发生成。", "text"),
generationToolDefinition("canvas_generate_image", "创建通用图片生成流程并立即触发生成。", "image"),
generationToolDefinition("canvas_generate_video", "创建通用视频生成流程并立即触发生成。", "video"),
@@ -1177,7 +1176,6 @@ function onlineToolToOps(name: string, input: Record<string, unknown>, snapshot:
const nodeType = requireNodeType(input.nodeType);
const x = numberOr(input.x, nextCanvasX(snapshot));
const y = numberOr(input.y, 0);
if (nodeType === CanvasNodeType.Config) return [configNodeOp(stringOptional(input.id) || `config-${nanoid()}`, { ...recordOptional(input.metadata), ...input }, x, y, config)];
return [{ type: "add_node", nodeType, title: stringOptional(input.title), position: { x, y }, width: numberOptional(input.width), height: numberOptional(input.height), metadata: recordOptional(input.metadata) as CanvasNodeData["metadata"] }];
}
if (name === "canvas_create_text_node") return [textNodeOp(input, numberOr(input.x, nextCanvasX(snapshot)), numberOr(input.y, 0))];
@@ -1190,11 +1188,6 @@ function onlineToolToOps(name: string, input: Record<string, unknown>, snapshot:
return items.map((item, index) => textNodeOp({ ...item, text: requireString(item.text, "text") }, numberOr(item.x, direction === "row" ? x + index * (NODE_DEFAULT_SIZE[CanvasNodeType.Text].width + gap) : x), numberOr(item.y, direction === "row" ? y : y + index * (NODE_DEFAULT_SIZE[CanvasNodeType.Text].height + gap))));
}
if (name === "canvas_create_image_prompt_flow") return generationFlowOps({ ...input, mode: "image" }, snapshot, config);
if (name === "canvas_create_config_node") {
const configId = `config-${nanoid()}`;
const mode = generationMode(input.mode);
return [configNodeOp(configId, input, numberOr(input.x, nextCanvasX(snapshot)), numberOr(input.y, 0), config), ...(input.autoRun ? [runGenerationOp(configId, mode, stringOptional(input.prompt))] : [])];
}
if (name === "canvas_create_generation_flow") return generationFlowOps(input, snapshot, config);
if (name === "canvas_generate_text") return generationFlowOps({ ...input, mode: "text", autoRun: true }, snapshot, config);
if (name === "canvas_generate_image") return generationFlowOps({ ...input, mode: "image", autoRun: true }, snapshot, config);
@@ -1224,16 +1217,16 @@ function generationFlowOps(input: Record<string, unknown>, snapshot: CanvasAgent
const x = numberOr(input.x, nextCanvasX(snapshot));
const y = numberOr(input.y, 0);
const textId = `text-${nanoid()}`;
const configId = `config-${nanoid()}`;
const targetId = `${mode}-${nanoid()}`;
const referenceNodeIds = Array.isArray(input.referenceNodeIds) ? input.referenceNodeIds.filter((id): id is string => typeof id === "string") : [];
const tokens = [`@[node:${textId}]`, ...referenceNodeIds.map((id) => `@[node:${id}]`)];
return [
textNodeOp({ id: textId, text: prompt, title: stringOptional(input.title) || "提示词" }, x, y),
configNodeOp(configId, { ...input, prompt: tokens.join("\n") }, x + NODE_DEFAULT_SIZE[CanvasNodeType.Text].width + 80, y, config),
{ type: "connect_nodes", fromNodeId: textId, toNodeId: configId },
...referenceNodeIds.map((fromNodeId) => ({ type: "connect_nodes" as const, fromNodeId, toNodeId: configId })),
{ type: "select_nodes", ids: [configId] },
...(input.autoRun ? [runGenerationOp(configId, mode, tokens.join("\n"))] : []),
generationTargetNodeOp(targetId, { ...input, prompt: tokens.join("\n") }, x + NODE_DEFAULT_SIZE[CanvasNodeType.Text].width + 80, y, config),
{ type: "connect_nodes", fromNodeId: textId, toNodeId: targetId },
...referenceNodeIds.map((fromNodeId) => ({ type: "connect_nodes" as const, fromNodeId, toNodeId: targetId })),
{ type: "select_nodes", ids: [targetId] },
...(input.autoRun ? [runGenerationOp(targetId, mode, tokens.join("\n"))] : []),
];
}
@@ -1241,18 +1234,21 @@ function textNodeOp(input: Record<string, unknown>, x: number, y: number): Canva
return { type: "add_node", id: stringOptional(input.id), nodeType: CanvasNodeType.Text, title: stringOptional(input.title), position: { x, y }, width: numberOptional(input.width), height: numberOptional(input.height), metadata: { content: stringOptional(input.text), status: "success", fontSize: 14 } };
}
function configNodeOp(id: string, input: Record<string, unknown>, x: number, y: number, config: AiConfig): CanvasAgentOp {
function generationTargetNodeOp(id: string, input: Record<string, unknown>, x: number, y: number, config: AiConfig): CanvasAgentOp {
const mode = generationMode(input.mode);
const prompt = stringOptional(input.prompt);
const nodeType = generationNodeType(mode);
return {
type: "add_node",
id,
nodeType: CanvasNodeType.Config,
nodeType,
title: stringOptional(input.title) || generationTitle(mode),
position: { x, y },
width: numberOptional(input.width),
height: numberOptional(input.height),
metadata: cleanRecord({
content: "",
fontSize: nodeType === CanvasNodeType.Text ? 14 : undefined,
generationMode: mode,
composerContent: prompt,
prompt,
@@ -1274,6 +1270,13 @@ function configNodeOp(id: string, input: Record<string, unknown>, x: number, y:
};
}
function generationNodeType(mode: "text" | "image" | "video" | "audio") {
if (mode === "text") return CanvasNodeType.Text;
if (mode === "video") return CanvasNodeType.Video;
if (mode === "audio") return CanvasNodeType.Audio;
return CanvasNodeType.Image;
}
function runGenerationOp(nodeId: string, mode: "text" | "image" | "video" | "audio", prompt?: string): CanvasAgentOp {
return { type: "run_generation", nodeId, mode, prompt };
}
@@ -1333,7 +1336,6 @@ function toolCallLabel(name: string) {
if (name === "canvas_create_node") return "创建节点";
if (name === "canvas_create_text_node") return "创建文本";
if (name === "canvas_create_text_nodes") return "批量创建文本";
if (name === "canvas_create_config_node") return "创建生成配置";
if (name === "canvas_create_image_prompt_flow") return "创建生图流程";
if (name === "canvas_create_generation_flow") return "创建生成流程";
if (name === "canvas_generate_text") return "生成文本";

View File

@@ -1,6 +1,6 @@
import { AnimatePresence, useReducedMotion } from "motion/react";
import { useEffect, useState, type CSSProperties, type ReactNode } from "react";
import { ArrowLeft, Check, ChevronRight, Clapperboard, Clipboard, Copy, FolderOpen, FolderPlus, Image as ImageIcon, Layers3, Link2, Maximize2, Music2, PanelTop, Pencil, Plus, Redo2, Settings2, Tags, Trash2, Type, Undo2, Upload, UserRound, Video } from "lucide-react";
import { ArrowLeft, Check, ChevronRight, Clapperboard, Clipboard, Copy, FolderOpen, FolderPlus, Image as ImageIcon, Layers3, Link2, Maximize2, Music2, PanelTop, Pencil, Plus, Redo2, Tags, Trash2, Type, Undo2, Upload, UserRound, Video } from "lucide-react";
import { aceternityMotion } from "@/lib/aceternity-motion";
import { SpotlightSurface } from "@/components/ui/aceternity/spotlight-surface";
@@ -259,7 +259,6 @@ function AddNodeContextMenu({ parentPosition, workspaceMode, isProjectLinked, re
...(!simpleMode ? [
{ id: "director", label: "导演台", icon: <Layers3 />, badge: "3D", onClick: onOpenDirector },
{ id: "audio", label: "音频", icon: <Music2 />, onClick: () => onAddNode(CanvasNodeType.Audio) },
{ id: "config", label: "生成配置", icon: <Settings2 />, onClick: () => onAddNode(CanvasNodeType.Config) },
] : []),
];
const resourceCommands: CanvasCreateCommand[] = [

View File

@@ -875,7 +875,6 @@ function toolName(name: string) {
if (name === "canvas_create_node") return "创建节点";
if (name === "canvas_create_text_node") return "创建文本";
if (name === "canvas_create_text_nodes") return "批量创建文本";
if (name === "canvas_create_config_node") return "创建生成配置";
if (name === "canvas_create_image_prompt_flow") return "创建生图流程";
if (name === "canvas_create_generation_flow") return "创建生成流程";
if (name === "canvas_generate_text") return "生成文本";

View File

@@ -459,6 +459,7 @@ export const CanvasNode = React.memo(function CanvasNode({
function NodeContent(props: NodeContentRendererProps) {
const hasCustomContent = props.node.type === CanvasNodeType.Config
|| props.node.type === CanvasNodeType.Script
|| Boolean(props.node.metadata?.directorSceneId)
|| (props.node.metadata?.workflowKind === "character" && Boolean(props.node.metadata.characterAssetId))
|| (props.node.metadata?.workflowKind === "story_input" && !props.isEditingContent)
|| (props.node.metadata?.workflowKind === "styleboard" && !props.node.metadata.content);
@@ -716,7 +717,7 @@ function SkillContent({ node, theme }: NodeContentRendererProps) {
<span key={tag} className="rounded-md border px-1.5 py-0.5 text-[10px]" style={{ borderColor: theme.node.stroke, color: theme.node.muted }}>
{tag}
</span>
)) : <span className="text-[11px]" style={{ color: theme.node.muted }}>连接到生成配置节点后生效</span>}
)) : <span className="text-[11px]" style={{ color: theme.node.muted }}>连接到图片、视频、音频或文本节点后生效</span>}
</div>
</div>
);

View File

@@ -1,7 +1,7 @@
import { AnimatePresence, motion } from "motion/react";
import { useEffect, useRef, useState, type MouseEvent as ReactMouseEvent, type ReactNode } from "react";
import { Segmented, Switch } from "antd";
import { CircleDot, Clapperboard, Eraser, FolderOpen, Grid2x2, Hand, Image as ImageIcon, Info, Layers3, Moon, Music2, Palette, PanelTop, Pencil, Plus, Redo2, Square, Sun, Trash2, Type, Undo2, UploadCloud, UserRound, Video, WandSparkles, X } from "lucide-react";
import { CircleDot, Clapperboard, Eraser, FolderOpen, Grid2x2, Hand, Image as ImageIcon, Info, Layers3, Moon, Music2, Palette, PanelTop, Pencil, Plus, Redo2, Square, Sun, Trash2, Type, Undo2, UploadCloud, UserRound, Video, X } from "lucide-react";
import { AnimatedThemeToggler } from "@/components/ui/animated-theme-toggler";
import { FloatingDock, type FloatingDockEntry } from "@/components/ui/aceternity/floating-dock";
@@ -29,7 +29,6 @@ export function CanvasToolbar({
onAddScript,
onAddFrame,
onAddDrawing,
onAddConfig,
onOpenDirector,
onUndo,
onRedo,
@@ -57,7 +56,6 @@ export function CanvasToolbar({
onAddScript: () => void;
onAddFrame: () => void;
onAddDrawing: () => void;
onAddConfig: () => void;
onOpenDirector: () => void;
onUndo: () => void;
onRedo: () => void;
@@ -127,7 +125,6 @@ export function CanvasToolbar({
onAddImage={() => runAddAction(onAddImage)}
onAddVideo={() => runAddAction(onAddVideo)}
onAddAudio={() => runAddAction(onAddAudio)}
onAddConfig={() => runAddAction(onAddConfig)}
onOpenDirector={() => runAddAction(onOpenDirector)}
onUpload={() => runAddAction(onUpload)}
onOpenAssets={() => runAddAction(onOpenMyAssets)}
@@ -171,7 +168,7 @@ export function CanvasToolbar({
);
}
function AddNodeMenu({ x, theme, workspaceMode, isProjectLinked, onAddText, onChooseStyle, onAddScript, onAddFrame, onAddDrawing, onAddImage, onAddVideo, onAddAudio, onAddConfig, onOpenDirector, onUpload, onOpenAssets, onOpenProjectCharacters }: {
function AddNodeMenu({ x, theme, workspaceMode, isProjectLinked, onAddText, onChooseStyle, onAddScript, onAddFrame, onAddDrawing, onAddImage, onAddVideo, onAddAudio, onOpenDirector, onUpload, onOpenAssets, onOpenProjectCharacters }: {
x: number;
theme: CanvasTheme;
workspaceMode: CanvasWorkspaceMode;
@@ -184,7 +181,6 @@ function AddNodeMenu({ x, theme, workspaceMode, isProjectLinked, onAddText, onCh
onAddImage: () => void;
onAddVideo: () => void;
onAddAudio: () => void;
onAddConfig: () => void;
onOpenDirector: () => void;
onUpload: () => void;
onOpenAssets: () => void;
@@ -204,7 +200,6 @@ function AddNodeMenu({ x, theme, workspaceMode, isProjectLinked, onAddText, onCh
...(!simpleMode ? [
{ id: "director", label: "导演台", icon: <Layers3 />, badge: "3D", onClick: onOpenDirector },
{ id: "audio", label: "音频", icon: <Music2 />, onClick: onAddAudio },
{ id: "config", label: "生成配置", icon: <WandSparkles />, onClick: onAddConfig },
] : []),
];
const resourceCommands: CanvasCreateCommand[] = [

View File

@@ -1,6 +1,6 @@
import { motion, useReducedMotion } from "motion/react";
import { useLayoutEffect, useRef, useState, type CSSProperties, type ReactNode, type RefObject } from "react";
import { ChevronRight, Clapperboard, Image as ImageIcon, List, Music2, Pencil, Settings2, Video, WandSparkles, X } from "lucide-react";
import { ChevronRight, Clapperboard, Image as ImageIcon, List, Music2, Pencil, Video, WandSparkles, X } from "lucide-react";
import { SpotlightSurface } from "@/components/ui/aceternity/spotlight-surface";
import { canvasThemes } from "@/lib/canvas-theme";
@@ -123,7 +123,7 @@ export function CanvasNodePanelOverlay({ node, viewport, containerRef, panelWidt
);
}
export function CanvasConnectionCreateMenu({ pending, viewport, viewportSize, containerRef, canCreateDrawing, onCreate, onClose }: { pending: PendingConnectionCreate; viewport: ViewportTransform; viewportSize: { width: number; height: number }; containerRef: RefObject<HTMLDivElement | null>; canCreateDrawing: boolean; onCreate: (type: CanvasNodeType.Image | CanvasNodeType.Text | CanvasNodeType.Script | CanvasNodeType.Config | CanvasNodeType.Video | CanvasNodeType.Audio | CanvasNodeType.Drawing) => void; onClose: () => void }) {
export function CanvasConnectionCreateMenu({ pending, viewport, viewportSize, containerRef, canCreateDrawing, onCreate, onClose }: { pending: PendingConnectionCreate; viewport: ViewportTransform; viewportSize: { width: number; height: number }; containerRef: RefObject<HTMLDivElement | null>; canCreateDrawing: boolean; onCreate: (type: CanvasNodeType.Image | CanvasNodeType.Text | CanvasNodeType.Script | CanvasNodeType.Video | CanvasNodeType.Audio | CanvasNodeType.Drawing) => void; onClose: () => void }) {
const theme = canvasThemes[useThemeStore((state) => state.theme)];
const reducedMotion = useReducedMotion();
const menuRef = useRef<HTMLDivElement>(null);
@@ -175,7 +175,6 @@ export function CanvasConnectionCreateMenu({ pending, viewport, viewportSize, co
{canCreateDrawing ? <ConnectionCreateOption motionEnabled={!reducedMotion} icon={<Pencil className="size-4" />} title="绘图" onClick={() => onCreate(CanvasNodeType.Drawing)} /> : null}
<ConnectionCreateOption motionEnabled={!reducedMotion} icon={<Video className="size-4" />} title="视频生成" onClick={() => onCreate(CanvasNodeType.Video)} />
<ConnectionCreateOption motionEnabled={!reducedMotion} icon={<Music2 className="size-4" />} title="音频参考" onClick={() => onCreate(CanvasNodeType.Audio)} />
<ConnectionCreateOption motionEnabled={!reducedMotion} icon={<Settings2 className="size-4" />} title="配置节点" onClick={() => onCreate(CanvasNodeType.Config)} />
</div>
</SpotlightSurface>
);

View File

@@ -28,20 +28,22 @@ export async function executeTextGeneration({
}: CanvasGenerationExecution) {
let streamed = "";
const isConfigNode = sourceNode?.type === CanvasNodeType.Config;
const textCount = isConfigNode ? getGenerationCount(generationConfig.count) : 1;
const isDirectTextTarget = sourceNode?.type === CanvasNodeType.Text && !sourceNode.metadata?.content?.trim() && !editingTextNode;
const textCount = isConfigNode || (isDirectTextTarget && sourceNode?.metadata?.count) ? getGenerationCount(generationConfig.count) : 1;
const parentConfig = NODE_DEFAULT_SIZE[isConfigNode ? CanvasNodeType.Config : CanvasNodeType.Text];
const textConfig = NODE_DEFAULT_SIZE[CanvasNodeType.Text];
const parentPosition = sourceNode?.position || { x: 0, y: 0 };
const childIds = isConfigNode || editingTextNode ? Array.from({ length: textCount }, () => nanoid()) : [];
const generateInPlace = !isConfigNode && !editingTextNode;
const childIds = Array.from({ length: generateInPlace ? Math.max(0, textCount - 1) : textCount }, () => nanoid());
registerPendingNodeIds(childIds);
if (isConfigNode || editingTextNode) {
if (childIds.length) {
const childNodes: CanvasNodeData[] = childIds.map((id, index) => ({
id,
type: CanvasNodeType.Text,
title: effectivePrompt.slice(0, 32) || "Generated Text",
position: {
x: parentPosition.x + parentConfig.width + 96,
y: parentPosition.y + parentConfig.height / 2 - textConfig.height / 2 + (index - (textCount - 1) / 2) * (textConfig.height + 36),
y: parentPosition.y + parentConfig.height / 2 - textConfig.height / 2 + (index - (childIds.length - 1) / 2) * (textConfig.height + 36),
},
width: textConfig.width,
height: textConfig.height,
@@ -51,7 +53,7 @@ export async function executeTextGeneration({
setConnections((current) => [...current, ...childIds.map((childId) => ({ id: nanoid(), fromNodeId: nodeId, toNodeId: childId }))]);
}
const textTargetIds = childIds.length ? childIds : [nodeId];
const textTargetIds = generateInPlace ? [nodeId, ...childIds] : childIds;
textTargetIds.forEach((targetNodeId) => startGenerationRequest(targetNodeId, nodeId, nodeId, controller));
const answers = await Promise.all(
textTargetIds.map((targetNodeId) => {
@@ -75,7 +77,7 @@ export async function executeTextGeneration({
: node.id === nodeId && isConfigNode
? { ...node, metadata: { ...node.metadata, status: NODE_STATUS_SUCCESS, errorDetails: undefined, generationErrorCode: undefined, failedPromptFingerprint: undefined } }
: node.id === nodeId && !editingTextNode
? { ...node, type: CanvasNodeType.Text, title: prompt.slice(0, 32) || "Generated Text", metadata: { ...node.metadata, content: answerByNodeId.get(node.id) || streamed, richText: undefined, status: NODE_STATUS_SUCCESS, errorDetails: undefined, generationErrorCode: undefined, failedPromptFingerprint: undefined } }
? { ...node, type: CanvasNodeType.Text, title: effectivePrompt.slice(0, 32) || "Generated Text", metadata: { ...node.metadata, content: answerByNodeId.get(node.id) || streamed, richText: undefined, status: NODE_STATUS_SUCCESS, errorDetails: undefined, generationErrorCode: undefined, failedPromptFingerprint: undefined } }
: node,
),
);

View File

@@ -1152,15 +1152,16 @@ function InfiniteCanvasPage() {
}
const sourceNode = nodesRef.current.find((item) => item.id === node.id);
if (!sourceNode) return;
const nodeSize = getNodeSpec(CanvasNodeType.Config);
const configNode = createCanvasNode(
CanvasNodeType.Config,
const nodeSize = getNodeSpec(CanvasNodeType.Image);
const imageNode = createCanvasNode(
CanvasNodeType.Image,
{
x: sourceNode.position.x + sourceNode.width + 96 + nodeSize.width / 2,
y: sourceNode.position.y + sourceNode.height / 2,
},
{
prompt: "",
prompt: `@[node:${sourceNode.id}]`,
composerContent: `@[node:${sourceNode.id}]`,
model: effectiveConfig.imageModel || effectiveConfig.model,
size: effectiveConfig.size,
quality: effectiveConfig.quality,
@@ -1168,16 +1169,17 @@ function InfiniteCanvasPage() {
count: getGenerationCount(effectiveConfig.canvasImageCount || effectiveConfig.count),
},
);
const connection = { id: nanoid(), fromNodeId: sourceNode.id, toNodeId: configNode.id };
const nextNodes = nodesRef.current.map((item) => (item.id === sourceNode.id ? { ...item, metadata: { ...item.metadata, content: prompt, richText: undefined, prompt, status: NODE_STATUS_SUCCESS } } : item)).concat(configNode);
imageNode.title = "图片生成";
const connection = { id: nanoid(), fromNodeId: sourceNode.id, toNodeId: imageNode.id };
const nextNodes = nodesRef.current.map((item) => (item.id === sourceNode.id ? { ...item, metadata: { ...item.metadata, content: prompt, richText: undefined, prompt, status: NODE_STATUS_SUCCESS } } : item)).concat(imageNode);
const nextConnections = [...connectionsRef.current, connection];
nodesRef.current = nextNodes;
connectionsRef.current = nextConnections;
setNodes(nextNodes);
setConnections(nextConnections);
setSelectedNodeIds(new Set([configNode.id]));
setSelectedNodeIds(new Set([imageNode.id]));
setSelectedConnectionId(null);
setDialogNodeId(configNode.id);
setDialogNodeId(imageNode.id);
},
[effectiveConfig, message],
);
@@ -1554,7 +1556,6 @@ function InfiniteCanvasPage() {
onAddScript={() => createNode(CanvasNodeType.Script)}
onAddFrame={() => createNode(CanvasNodeType.Frame)}
onAddDrawing={() => createNode(CanvasNodeType.Drawing)}
onAddConfig={() => createNode(CanvasNodeType.Config)}
onOpenDirector={() => createDirectorShot()}
onUndo={undoCanvas}
onRedo={redoCanvas}

View File

@@ -6,8 +6,6 @@ import type { PendingConnectionCreate } from "@/components/canvas/canvas-workspa
import { attachNodeToStoryboardRow, createCanvasNode, getConnectionTargetAnchor, isHiddenBatchChild, normalizeConnection, storyboardHandleAtY, storyboardRowFromHandle } from "@/lib/canvas/canvas-project-domain";
import { createCanvasDrawingFromImage } from "@/lib/canvas/canvas-drawing-storage";
import { isFrameNode, isNodeHiddenByCollapsedFrame } from "@/lib/canvas/canvas-frame";
import { getGenerationCount } from "@/lib/canvas/canvas-project-generation";
import { useEffectiveConfig } from "@/stores/use-config-store";
import { CanvasNodeType, type CanvasConnection, type CanvasNodeData, type ConnectionHandle, type ContextMenuState, type Position, type ViewportTransform } from "@/types/canvas";
type UseCanvasConnectionControllerOptions = {
@@ -52,7 +50,6 @@ export function useCanvasConnectionController({
setDrawingNodeId,
}: UseCanvasConnectionControllerOptions) {
const { message } = App.useApp();
const effectiveConfig = useEffectiveConfig();
const [connectingParams, setConnectingParams] = useState<ConnectionHandle | null>(null);
const [connectionTargetNodeId, setConnectionTargetNodeId] = useState<string | null>(null);
const [pendingConnectionCreate, setPendingConnectionCreate] = useState<PendingConnectionCreate | null>(null);
@@ -103,14 +100,12 @@ export function useCanvasConnectionController({
setContextMenu(null);
}, [connectionsRef, message, nodesRef, setConnections, setContextMenu, setNodes]);
const createConnectedNode = useCallback(async (type: CanvasNodeType.Image | CanvasNodeType.Text | CanvasNodeType.Script | CanvasNodeType.Config | CanvasNodeType.Video | CanvasNodeType.Audio | CanvasNodeType.Drawing, pending: PendingConnectionCreate) => {
const createConnectedNode = useCallback(async (type: CanvasNodeType.Image | CanvasNodeType.Text | CanvasNodeType.Script | CanvasNodeType.Video | CanvasNodeType.Audio | CanvasNodeType.Drawing, pending: PendingConnectionCreate) => {
const storyboardRow = type === CanvasNodeType.Video ? storyboardRowFromHandle(nodesRef.current, pending.connection.nodeId, pending.connection.handleId) : undefined;
const videoPrompt = storyboardRow ? (storyboardRow.videoMotionPrompt || storyboardRow.plotDescription).trim() : "";
const sourceNode = pending.connection.handleType === "source" ? nodesRef.current.find((node) => node.id === pending.connection.nodeId) : undefined;
const scriptPrompt = type === CanvasNodeType.Script && sourceNode?.type === CanvasNodeType.Text ? (sourceNode.metadata?.content || sourceNode.metadata?.prompt || "").trim() : "";
const metadata = type === CanvasNodeType.Config
? { model: effectiveConfig.imageModel || effectiveConfig.model, size: effectiveConfig.size, count: getGenerationCount(effectiveConfig.canvasImageCount || effectiveConfig.count) }
: type === CanvasNodeType.Script && scriptPrompt
const metadata = type === CanvasNodeType.Script && scriptPrompt
? { prompt: scriptPrompt, composerContent: scriptPrompt }
: type === CanvasNodeType.Video && storyboardRow
? { prompt: videoPrompt, composerContent: videoPrompt, generationMode: "video" as const, videoEditOperation: "text_to_video" as const, workflowKind: "shot" as const, workflowTitle: `镜头 ${storyboardRow.shotNumber} 视频`, shotIndex: storyboardRow.shotNumber, seconds: String(storyboardRow.durationSeconds), status: NODE_STATUS_IDLE }
@@ -162,7 +157,7 @@ export function useCanvasConnectionController({
else if (type !== CanvasNodeType.Text && type !== CanvasNodeType.Script && type !== CanvasNodeType.Audio) setDialogNodeId(newNode.id);
closeConnectionCreateMenu();
setConnecting(null);
}, [closeConnectionCreateMenu, effectiveConfig.canvasImageCount, effectiveConfig.count, effectiveConfig.imageModel, effectiveConfig.model, effectiveConfig.size, message, nodesRef, projectId, setConnecting, setConnections, setDialogNodeId, setDrawingNodeId, setNodes, setSelectedConnectionId, setSelectedNodeIds]);
}, [closeConnectionCreateMenu, message, nodesRef, projectId, setConnecting, setConnections, setDialogNodeId, setDrawingNodeId, setNodes, setSelectedConnectionId, setSelectedNodeIds]);
const getConnectionDropTarget = useCallback((clientX: number, clientY: number, current: ConnectionHandle): ConnectionDropTarget => {
const world = screenToCanvas(clientX, clientY);

View File

@@ -49,7 +49,7 @@ export function useCanvasDirector({
let scene = createDirectorScene(`镜头 ${shotIndex}`);
const shot = scene.shots[0];
scene = { ...scene, shots: [{ ...shot, name: `镜头 ${shotIndex}` }] };
const node = createCanvasNode(CanvasNodeType.Config, position || getCanvasCenter(), {
const node = createCanvasNode(CanvasNodeType.Video, position || getCanvasCenter(), {
workflowKind: "shot",
workflowTitle: `镜头 ${shotIndex}`,
shotIndex,
@@ -61,6 +61,7 @@ export function useCanvasDirector({
directorShotId: shot.id,
});
node.title = `镜头 ${shotIndex}`;
node.height = 300;
const nextNodes = [...nodesRef.current, node];
nodesRef.current = nextNodes;
setNodes(nextNodes);

View File

@@ -105,26 +105,27 @@ export function useCanvasMediaTools({
}
const gap = 96;
const textSpec = NODE_DEFAULT_SIZE[CanvasNodeType.Text];
const configSpec = NODE_DEFAULT_SIZE[CanvasNodeType.Config];
const resultSpec = NODE_DEFAULT_SIZE[CanvasNodeType.Text];
const centerY = node.position.y + node.height / 2;
const textNode = {
...createCanvasNode(CanvasNodeType.Text, { x: node.position.x + node.width + gap + textSpec.width / 2, y: centerY }, { content: IMAGE_PROMPT_REVERSE_PRESET, prompt: IMAGE_PROMPT_REVERSE_PRESET, status: NODE_STATUS_SUCCESS, fontSize: 14 }),
title: "反推提示词",
};
const configNode = {
...createCanvasNode(CanvasNodeType.Config, { x: textNode.position.x + textNode.width + gap + configSpec.width / 2, y: centerY }, {
const resultNode = {
...createCanvasNode(CanvasNodeType.Text, { x: textNode.position.x + textNode.width + gap + resultSpec.width / 2, y: centerY }, {
content: "",
generationMode: "text",
model: effectiveConfig.textModel || effectiveConfig.model || defaultConfig.textModel,
count: 1,
composerContent: `参考图片:@[node:${node.id}]\n任务说明:@[node:${textNode.id}]`,
}),
title: "反推提示词配置",
title: "反推提示词结果",
};
setNodes((current) => [...current, textNode, configNode]);
setConnections((current) => [...current, { id: nanoid(), fromNodeId: node.id, toNodeId: configNode.id }, { id: nanoid(), fromNodeId: textNode.id, toNodeId: configNode.id }]);
setSelectedNodeIds(new Set([configNode.id]));
setNodes((current) => [...current, textNode, resultNode]);
setConnections((current) => [...current, { id: nanoid(), fromNodeId: node.id, toNodeId: resultNode.id }, { id: nanoid(), fromNodeId: textNode.id, toNodeId: resultNode.id }]);
setSelectedNodeIds(new Set([resultNode.id]));
setSelectedConnectionId(null);
setDialogNodeId(configNode.id);
setDialogNodeId(resultNode.id);
setContextMenu(null);
}, [effectiveConfig.model, effectiveConfig.textModel, message, setConnections, setContextMenu, setDialogNodeId, setNodes, setSelectedConnectionId, setSelectedNodeIds]);

View File

@@ -6,9 +6,7 @@ import { nanoid } from "nanoid";
import { FRAME_HEADER_HEIGHT, getFrameChildIds, getFrameChildren, isFrameNode } from "@/lib/canvas/canvas-frame";
import { alignCanvasNodes, layoutCanvasFlow, layoutCanvasNodes, nextCanvasVersionLabel, type CanvasAlignmentMode } from "@/lib/canvas/canvas-layout";
import { createCanvasNode, removeCanvasNodes } from "@/lib/canvas/canvas-project-domain";
import { getGenerationCount } from "@/lib/canvas/canvas-project-generation";
import { isolateCopiedNodeMetadata } from "@/lib/canvas/canvas-node-copy";
import { useEffectiveConfig } from "@/stores/use-config-store";
import { CanvasNodeType, type CanvasConnection, type CanvasNodeData, type ContextMenuState, type Position } from "@/types/canvas";
import { cloneCanvasDrawing } from "@/lib/canvas/canvas-drawing-storage";
@@ -47,7 +45,6 @@ export function useCanvasNodeOperations({
onNodesDeleted,
}: UseCanvasNodeOperationsOptions) {
const { message } = App.useApp();
const effectiveConfig = useEffectiveConfig();
const clipboardRef = useRef<CanvasClipboard | null>(null);
const preferCopiedNodesRef = useRef(false);
const markerWritePendingRef = useRef(false);
@@ -113,18 +110,11 @@ export function useCanvasNodeOperations({
}, [selectedNodeIdsRef, setSelectedConnectionId, setSelectedNodeIds]);
const createNode = useCallback((type: CanvasNodeType, position?: Position) => {
const configMetadata = type === CanvasNodeType.Config
? {
model: effectiveConfig.imageModel || effectiveConfig.model,
size: effectiveConfig.size,
count: getGenerationCount(effectiveConfig.canvasImageCount || effectiveConfig.count),
}
: undefined;
const node = createCanvasNode(type, position || getCanvasCenter(), configMetadata);
const node = createCanvasNode(type, position || getCanvasCenter());
commitNodes([...nodesRef.current, node]);
selectNodes(new Set([node.id]));
if (type !== CanvasNodeType.Text && type !== CanvasNodeType.Script && type !== CanvasNodeType.Audio && type !== CanvasNodeType.Frame && type !== CanvasNodeType.Drawing) setDialogNodeId(node.id);
}, [commitNodes, effectiveConfig.canvasImageCount, effectiveConfig.count, effectiveConfig.imageModel, effectiveConfig.model, effectiveConfig.size, getCanvasCenter, nodesRef, selectNodes, setDialogNodeId]);
}, [commitNodes, getCanvasCenter, nodesRef, selectNodes, setDialogNodeId]);
const arrangeSelectedNodes = useCallback((mode: "row" | "column" | "grid" | "flow") => {
const selected = nodesRef.current.filter((node) => selectedNodeIdsRef.current.has(node.id) && !node.metadata?.locked && !isFrameNode(node));