50 lines
2.6 KiB
TypeScript
50 lines
2.6 KiB
TypeScript
import { decodeChannelModel, modelOptionName, type AiConfig } from "@/stores/use-config-store";
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import type { CanvasNodeMetadata } from "@/types/canvas";
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/** 生成提交时记下的模型身份。RunningHub 任务提交的就是「RunningHub · 工作流名」。 */
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export function submittedProducedModel(model: string | undefined): string | undefined {
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const value = model?.trim();
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return value || undefined;
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}
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export function producedModelCandidateForGeneration(config: { model?: string; taskWorkflowProvider?: string }): string | undefined {
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if (config.taskWorkflowProvider && config.taskWorkflowProvider !== "model") return undefined;
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return submittedProducedModel(config.model);
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}
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/**
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* 成功写入新媒体时冻结产出模型。优先用本次提交记下的候选，避免下拉框里的选用模型覆盖它。
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* 没有可用模型时清掉旧值，避免新内容继续显示上一次的模型。
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*/
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export function commitProducedModel(metadata: CanvasNodeMetadata, fallbackModel?: string): CanvasNodeMetadata {
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const producedModel = submittedProducedModel(metadata.producedModelCandidate) || submittedProducedModel(fallbackModel);
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const { producedModelCandidate: _candidate, producedModel: _previous, ...rest } = metadata;
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return producedModel ? { ...rest, producedModel } : rest;
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}
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/** 按当前模型目录解析角标。有展示名用展示名，否则用模型 ID，不把系统渠道收成「系统模型」。 */
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export function producedModelLabel(config: Pick<AiConfig, "channels">, stored: string | undefined): string {
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const value = stored?.trim();
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if (!value) return "";
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const decoded = decodeChannelModel(value);
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const modelId = decoded?.model || value;
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if (decoded) {
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const channel = config.channels.find((item) => item.id === decoded.channelId);
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if (!channel) return modelId;
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return channel.modelCosts?.find((item) => item.model === modelId)?.displayName?.trim() || modelId;
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}
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for (const item of config.channels) {
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const named = item.modelCosts?.find((entry) => entry.model === modelId || entry.logicalModelId === modelId)?.displayName?.trim();
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if (named) return named;
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}
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return modelId;
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}
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export function producedModelSearchTerms(metadata: CanvasNodeMetadata | undefined, config?: AiConfig): string[] {
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const stored = metadata?.producedModel?.trim();
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if (!stored) return [];
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const modelId = modelOptionName(stored);
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const label = config ? producedModelLabel(config, stored) : modelId;
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return [stored, modelId, label].filter((value, index, all) => Boolean(value) && all.indexOf(value) === index);
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}
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