import { useEffect, useId, useMemo, useState } from "react"; import { Coins, Cpu } from "lucide-react"; import { Select } from "antd"; import { cn } from "@/lib/utils"; import { modelDisplayName, modelOptionLabel, modelOptionName, resolveModelChannel, selectableModelsByCapability, type AiConfig, type ModelCapability } from "@/stores/use-config-store"; type ModelPickerProps = { config: AiConfig; value?: string; onChange: (model: string) => void; capability?: ModelCapability; className?: string; fullWidth?: boolean; placeholder?: string; onMissingConfig?: () => void; showSelectedPrice?: boolean; }; export function ModelPicker({ config, value, onChange, capability, className, fullWidth = false, placeholder = "选择模型", onMissingConfig, showSelectedPrice = true }: ModelPickerProps) { const pickerId = useId(); const [open, setOpen] = useState(false); const options = useMemo( () => Array.from(new Set([...(config.channelMode === "local" && !capability ? [value] : []), ...selectableModelsByCapability(config, capability)].filter((model): model is string => Boolean(model)))), [capability, config, value], ); const optionGroups = useMemo(() => { const channelGroups = config.channels .map((channel) => ({ key: channel.id, label: channel.name || "未命名渠道", scope: channel.scope === "system" ? "系统渠道" : "自定义渠道", models: options.filter((model) => resolveModelChannel(config, model).id === channel.id), })) .filter((group) => group.models.length); const groupedModels = new Set(channelGroups.flatMap((group) => group.models)); const ungroupedModels = options.filter((model) => !groupedModels.has(model)); return ungroupedModels.length ? [...channelGroups, { key: "ungrouped", label: "其他模型", scope: "未指定渠道", models: ungroupedModels }] : channelGroups; }, [config, options]); const current = value || ""; const currentPrice = modelMenuPrice(config, current); const selectOptions = useMemo(() => optionGroups.map((group) => ({ label: {group.label}{group.scope}, options: group.models.map((model) => ({ value: model, label: modelOptionLabel(config, model) })), })), [config, optionGroups]); useEffect(() => { const closeOtherPicker = (event: Event) => { if ((event as CustomEvent).detail !== pickerId) setOpen(false); }; window.addEventListener("model-picker-open", closeOtherPicker); return () => window.removeEventListener("model-picker-open", closeOtherPicker); }, [pickerId]); return (
event.stopPropagation()} onPointerDown={(event) => event.stopPropagation()} > size="small" open={open} value={current || undefined} options={selectOptions} showSearch filterOption={(input, option) => String(option?.label || "").toLocaleLowerCase().includes(input.toLocaleLowerCase())} notFoundContent={{emptyModelLabel(config, capability)}} popupMatchSelectWidth={capability === "image" || capability === "video" ? 320 : 280} placement="bottomLeft" className={cn("canvas-composer-model-picker", fullWidth ? "w-full" : "min-w-36 max-w-full")} classNames={{ popup: { root: "canvas-model-picker-popup" } }} onOpenChange={(nextOpen) => { if (nextOpen && !options.length && config.channelMode === "local") onMissingConfig?.(); if (nextOpen) window.dispatchEvent(new CustomEvent("model-picker-open", { detail: pickerId })); setOpen(nextOpen); }} onChange={onChange} optionRender={(option) => } labelRender={() => ( {current ? modelOptionLabel(config, current) : placeholder} {showSelectedPrice ? : null} )} aria-label={placeholder} title={current ? modelOptionLabel(config, current) : placeholder} />
); } function emptyModelLabel(config: AiConfig, capability?: ModelCapability) { const label = capability === "image" ? "生图" : capability === "video" ? "视频" : capability === "text" ? "文本" : capability === "audio" ? "音频" : ""; if (capability && config.models.length) return `当前渠道没有匹配的${label}模型`; return config.models.length ? `暂无匹配的${label}模型` : "请先到配置里添加渠道和模型"; } function ModelLabel({ config, model, capability }: { config: AiConfig; model: string; capability?: ModelCapability }) { const meta = modelMenuMeta(model, capability); return ( {modelDisplayName(config, model)} {modelOptionName(model)} · {meta.description} {meta.time ? {meta.time} : null} ); } function modelMenuPrice(config: AiConfig, model: string): { value: number; unit: "次" | "秒" } | null | undefined { if (!model) return undefined; const channel = resolveModelChannel(config, model); const cost = channel.modelCosts?.find((item) => item.model === modelOptionName(model)); if (!cost) return channel.scope === "system" ? null : undefined; return { value: cost.unitPriceMicrocredits / 1_000_000, unit: cost.billingMode === "per_second" ? "秒" : "次" }; } function ModelPrice({ price, compact = false }: { price: { value: number; unit: "次" | "秒" } | null | undefined; compact?: boolean }) { if (price === undefined) return null; if (price === null) return compact ? null : 未配置; return ( {price.value.toLocaleString("zh-CN", { maximumFractionDigits: compact ? 3 : 6 })}/{price.unit} ); } function modelMenuMeta(model: string, capability?: ModelCapability): { description: string; time?: string } { const name = modelOptionName(model).toLowerCase(); if (capability === "image") { if (name.includes("nano banana") || name.includes("nanobanana") || name.includes("imagen")) return { description: "Gemini 高质量图片生成,适合角色和商业成片" }; if (name.includes("nano") || name.includes("pro")) return { description: "高质量图片生成,适合角色和商业成片" }; if (name.includes("seedream")) return { description: "快速出图,适合批量探索风格" }; if (name.includes("gpt") || name.includes("image")) return { description: "通用图片模型,提示词理解稳定" }; return { description: "图片生成模型" }; } if (capability === "video") { if (name.includes("veo") || name.includes("omni flash") || name.includes("omni-flash")) return { description: "Gemini 镜头生成与图生视频,适合成片流程", time: "3m" }; if (name.includes("seedance") || name.includes("sora")) return { description: "镜头生成与图生视频,适合成片流程", time: "3m" }; return { description: "视频生成模型", time: "3m" }; } if (capability === "audio") return { description: "语音、音效或音乐生成", time: "20s" }; if (name.includes("claude")) return { description: "长文本、推理与创意写作", time: "10s" }; if (name.includes("gemini")) return { description: "多模态理解与快速文本生成", time: "10s" }; if (name.includes("deepseek")) return { description: "推理、代码和结构化文本", time: "10s" }; return { description: capability === "text" ? "文本生成模型" : "当前渠道模型", time: "10s" }; } export function ModelIcon({ model }: { model: string }) { const icon = resolveModelIcon(modelOptionName(model)); return icon ? : ; } export function resolveModelIcon(model: string) { const name = model.toLowerCase(); if (name.includes("claude") || name.includes("anthropic")) return "/icons/claude.svg"; // Flow2API 短名:Nano Banana / Imagen / Veo / Omni 均属 Google Gemini 系。 if ( name.includes("gemini") || name.includes("google") || name.includes("nano banana") || name.includes("nanobanana") || name.includes("imagen") || name.includes("veo") || name.includes("omni flash") || name.includes("omni-flash") ) { return "/icons/gemini.svg"; } if (name.includes("gpt") || name.includes("openai") || name.includes("dall-e") || name.includes("dalle")) return "/icons/openai.svg"; if (name.includes("grok")) return "/icons/grok.svg"; if (name.includes("deepseek")) return "/icons/deepseek.svg"; if (name.includes("glm") || name.includes("chatglm")) return "/icons/glm.svg"; return ""; }