mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
synced 2026-01-02 14:22:28 +08:00
Support subdirectory deployment and fix API path handling (#311)
* feat: support subdirectory deployment (NEXT_PUBLIC_BASE_PATH) * removed unwanted check and fix favicon issue * Use getAssetUrl for manifest assets to avoid undefined NEXT_PUBLIC_BASE_PATH * Add validation warning for NEXT_PUBLIC_BASE_PATH format --------- Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
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@@ -9,6 +9,7 @@ import {
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Zap,
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} from "lucide-react"
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import { useDictionary } from "@/hooks/use-dictionary"
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import { getAssetUrl } from "@/lib/base-path"
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interface ExampleCardProps {
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icon: React.ReactNode
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@@ -79,7 +80,7 @@ export default function ExamplePanel({
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setInput("Replicate this flowchart.")
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try {
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const response = await fetch("/example.png")
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const response = await fetch(getAssetUrl("/example.png"))
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const blob = await response.blob()
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const file = new File([blob], "example.png", { type: "image/png" })
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setFiles([file])
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@@ -92,7 +93,7 @@ export default function ExamplePanel({
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setInput("Replicate this in aws style")
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try {
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const response = await fetch("/architecture.png")
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const response = await fetch(getAssetUrl("/architecture.png"))
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const blob = await response.blob()
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const file = new File([blob], "architecture.png", {
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type: "image/png",
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@@ -107,7 +108,7 @@ export default function ExamplePanel({
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setInput("Summarize this paper as a diagram")
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try {
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const response = await fetch("/chain-of-thought.txt")
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const response = await fetch(getAssetUrl("/chain-of-thought.txt"))
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const blob = await response.blob()
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const file = new File([blob], "chain-of-thought.txt", {
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type: "text/plain",
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@@ -27,6 +27,7 @@ import {
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ReasoningTrigger,
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} from "@/components/ai-elements/reasoning"
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import { ScrollArea } from "@/components/ui/scroll-area"
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import { getApiEndpoint } from "@/lib/base-path"
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import {
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applyDiagramOperations,
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convertToLegalXml,
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@@ -291,7 +292,7 @@ export function ChatMessageDisplay({
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setFeedback((prev) => ({ ...prev, [messageId]: value }))
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try {
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await fetch("/api/log-feedback", {
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await fetch(getApiEndpoint("/api/log-feedback"), {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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@@ -29,6 +29,7 @@ import {
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import { useDiagram } from "@/contexts/diagram-context"
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import { useDictionary } from "@/hooks/use-dictionary"
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import { getSelectedAIConfig, useModelConfig } from "@/hooks/use-model-config"
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import { getApiEndpoint } from "@/lib/base-path"
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import { findCachedResponse } from "@/lib/cached-responses"
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import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
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import { type FileData, useFileProcessor } from "@/lib/use-file-processor"
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@@ -172,7 +173,7 @@ export default function ChatPanel({
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// Check config on mount
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useEffect(() => {
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fetch("/api/config")
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fetch(getApiEndpoint("/api/config"))
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.then((res) => res.json())
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.then((data) => {
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setDailyRequestLimit(data.dailyRequestLimit || 0)
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@@ -243,7 +244,7 @@ export default function ChatPanel({
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setMessages,
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} = useChat({
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transport: new DefaultChatTransport({
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api: "/api/chat",
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api: getApiEndpoint("/api/chat"),
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}),
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async onToolCall({ toolCall }) {
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if (DEBUG) {
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@@ -22,6 +22,7 @@ import {
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} from "@/components/ui/select"
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import { Switch } from "@/components/ui/switch"
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import { useDictionary } from "@/hooks/use-dictionary"
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import { getApiEndpoint } from "@/lib/base-path"
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import { i18n, type Locale } from "@/lib/i18n/config"
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const LANGUAGE_LABELS: Record<Locale, string> = {
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@@ -77,7 +78,7 @@ function SettingsContent({
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// Only fetch if not cached in localStorage
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if (getStoredAccessCodeRequired() !== null) return
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fetch("/api/config")
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fetch(getApiEndpoint("/api/config"))
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.then((res) => {
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if (!res.ok) throw new Error(`HTTP ${res.status}`)
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return res.json()
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@@ -142,12 +143,15 @@ function SettingsContent({
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setIsVerifying(true)
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try {
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const response = await fetch("/api/verify-access-code", {
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method: "POST",
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headers: {
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"x-access-code": accessCode.trim(),
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const response = await fetch(
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getApiEndpoint("/api/verify-access-code"),
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{
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method: "POST",
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headers: {
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"x-access-code": accessCode.trim(),
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},
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},
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})
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)
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const data = await response.json()
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