feat(*): 创作工作台 - 完善画布生成、模型定价与创建流程
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@@ -136,6 +136,7 @@ export function useCanvasGenerationExecutor({
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const sourceTextContent = sourceNode?.type === CanvasNodeType.Text ? sourceNode.metadata?.content?.trim() || "" : "";
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const editingTextNode = mode === "text" && Boolean(sourceTextContent);
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const markSourceStatus = !sourceNode?.metadata?.content && !editingTextNode;
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let generationPrompt = mode === "image" && sourceNode?.metadata?.portraitTexture ? buildPortraitTexturePrompt(prompt, sourceNode.metadata.portraitTexture) : prompt;
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if (mode === "image" && sourceNode?.metadata?.cameraControl?.enabled) {
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const cameraControl = sourceNode.metadata.cameraControl;
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@@ -143,6 +144,30 @@ export function useCanvasGenerationExecutor({
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generationPrompt = `${generationPrompt}\n${cameraPrompt}`;
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}
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const isPreparingEmptyImage = mode === "image" && sourceNode?.type === CanvasNodeType.Image && !sourceNode.metadata?.content;
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const preparationController = startGenerationRequest(nodeId, nodeId, nodeId, options?.controller);
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setRunningNodeId(nodeId);
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if (markSourceStatus)
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setNodes((current) =>
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current.map((node) =>
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node.id === nodeId
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? {
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...node,
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metadata: {
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...node.metadata,
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...canvasGenerationPromptMetadata(prompt, prompt),
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status: NODE_STATUS_LOADING,
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taskStage: "正在准备参考素材",
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taskProgress: 0,
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taskCreatedAt: new Date().toISOString(),
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errorDetails: undefined,
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generationErrorCode: undefined,
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resourceReloadAvailable: undefined,
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failedPromptFingerprint: undefined,
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},
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}
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: node,
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),
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);
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let rawGenerationContext: Awaited<ReturnType<typeof hydrateNodeGenerationContext>>;
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// AutoDL/其他声明式视频协议需要结构化参考素材；只有普通
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@@ -164,7 +189,7 @@ export function useCanvasGenerationExecutor({
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const compatibilityError = usesWorkflowProvider ? "" : modelCompatibilityError(generationConfig, generationConfig.model, requirements);
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if (compatibilityError) throw new Error(`当前模型无法支持这组输入和参数：${compatibilityError}`);
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const referenceLimits = usesWorkflowProvider ? undefined : modelGroupReferenceLimits(effectiveConfig, generationConfig.model, mode, requirements);
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rawGenerationContext = await hydrateNodeGenerationContext(baseContext, projectId, domainProjectId, mode, mode === "video" && Boolean(referenceLimits?.maxAudios), !promptOnly, referenceLimits);
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rawGenerationContext = await hydrateNodeGenerationContext(baseContext, projectId, domainProjectId, mode, mode === "video" && Boolean(referenceLimits?.maxAudios), !promptOnly, referenceLimits, false);
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const hydratedRequirements = generationModelRequirements(mode, rawGenerationContext, sourceNode, generationConfig);
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generationConfig = buildGenerationConfig(effectiveConfig, sourceNode, mode, hydratedRequirements);
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const hydratedCompatibilityError = usesWorkflowProvider ? "" : modelCompatibilityError(generationConfig, generationConfig.model, hydratedRequirements);
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@@ -172,6 +197,8 @@ export function useCanvasGenerationExecutor({
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} catch (error) {
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const errorDetails = generationErrorMessage(error);
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message.error(errorDetails);
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finishGenerationRequest(nodeId, preparationController);
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setRunningNodeId(null);
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return;
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}
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@@ -180,6 +207,8 @@ export function useCanvasGenerationExecutor({
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skillExecution = await skillRuntime.prepare({ profile: "canvas", prompt: rawGenerationContext.prompt, skills: addedSkills });
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} catch (error) {
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message.error(error instanceof Error ? error.message : "技能上下文加载失败");
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finishGenerationRequest(nodeId, preparationController);
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setRunningNodeId(null);
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return;
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}
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let effectivePrompt = skillExecution.prompt.trim();
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@@ -194,28 +223,38 @@ export function useCanvasGenerationExecutor({
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} catch (error) {
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const errorDetails = generationErrorMessage(error);
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message.error(errorDetails);
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finishGenerationRequest(nodeId, preparationController);
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setRunningNodeId(null);
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return;
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}
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}
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const promptLengthError = mode === "video" ? modelPromptLengthError(generationConfig, generationConfig.model, mode, effectivePrompt) : "";
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if (promptLengthError) {
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message.error(promptLengthError);
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finishGenerationRequest(nodeId, preparationController);
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setRunningNodeId(null);
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return;
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}
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const generationContext = { ...rawGenerationContext, prompt: effectivePrompt };
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if (mode === "audio" && generationContext.characterReferences.length) {
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if (generationContext.characterReferences.length !== 1) {
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message.error("角色配音一次只能引用一个角色卡");
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finishGenerationRequest(nodeId, preparationController);
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setRunningNodeId(null);
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return;
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}
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const voice = generationContext.resolvedCharacterVoices[0];
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if (!voice) {
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message.error("角色尚未绑定可用声音，无法创建角色配音任务");
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finishGenerationRequest(nodeId, preparationController);
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setRunningNodeId(null);
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return;
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}
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generationConfig = { ...generationConfig, audioVoice: voice.voiceKey, audioInstructions: [voice.instructions, generationConfig.audioInstructions].filter(Boolean).join("；") };
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}
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if (!effectivePrompt && (mode === "text" || mode === "audio")) {
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finishGenerationRequest(nodeId, preparationController);
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setRunningNodeId(null);
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return;
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}
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@@ -251,10 +290,13 @@ export function useCanvasGenerationExecutor({
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context: generationContext,
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});
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const duplicateConfirmationRequired = !options?.skipDuplicateConfirmation && !options?.retryContext && sourceNode?.metadata?.lastGenerationRequestFingerprint === requestFingerprint;
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if (duplicateConfirmationRequired && !(await confirmDuplicateSubmission())) return;
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if (duplicateConfirmationRequired && !(await confirmDuplicateSubmission())) {
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finishGenerationRequest(nodeId, preparationController);
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setRunningNodeId(null);
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return;
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}
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setRunningNodeId(nodeId);
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const controller = startGenerationRequest(nodeId, nodeId, nodeId, options?.controller);
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const controller = preparationController;
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if (controller.signal.aborted) {
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finishGenerationRequest(nodeId, controller);
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setRunningNodeId(null);
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@@ -286,7 +328,6 @@ export function useCanvasGenerationExecutor({
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}
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// 已有内容节点只是本次生成的来源；任务状态归新目标所有，不能覆盖已成功结果。
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const markSourceStatus = !sourceNode?.metadata?.content && !editingTextNode;
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const statusPrompt = sourceNode?.type === CanvasNodeType.Config ? effectivePrompt : prompt;
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if (markSourceStatus)
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setNodes((current) =>
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