mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
synced 2026-10-06 17:57:47 +08:00
MCP preview after the server lost a session (it expired, or the MCP process restarted): - Every server state has an id, made when the state is created. The tab notices a new id even when the version numbers happen to match, and every push names the state it was based on, so one based on a lost state is refused, also when it comes before the tab's first poll (the server recovers the saved file first). - The tab keeps the newest canvas XML, saved or not. When the server knows nothing (no file) or exactly what the tab last saved, the canvas wins and is saved, so edits made while the server was down are kept. Otherwise the server's diagram (an AI write the tab missed, a cleared document that was saved) is shown and the tab's copy goes to History. - Late answers to an old state's push or poll are dropped; a failed push says the server is unreachable; Download as .drawio saves the canvas. Settings and server: - Saved providers this version does not know stay in storage with their keys, and sending no longer trips over them. - The desktop "Ollama (Local)" preset with a key goes to local Ollama again; a server model's Ollama URL variable is read; the admin panel writes Ollama Cloud's URL for a key without one. - Provider error texts show again in the desktop app and for EdgeOne. - .env: a quoted value followed by a comment ending in a quote is read as dotenv reads it; unquoted values are unchanged. - Desktop app: the next launch opens the port where a chat was last saved; a launch elsewhere that saves nothing does not move it, and a page with no chats lets the next launch try the other port once. - The Test button no longer stays busy after another tab changed the key. - A completed append_diagram is no longer undone by an earlier failed edit's preview; a file read once in vain is saved again once it is read or gone. From the first batch's review: - The admin panel's Test of an entry without a URL now tests the server's <P>_BASE_URL, where chat sends the entry's key; chat is unchanged (the first fix rerouted working setups). - The model list ends downloads that are too large, accepts answers without a body, and keeps the "redirects are not allowed" explanation. - A test covers the preview's History rendering.
315 lines
12 KiB
TypeScript
315 lines
12 KiB
TypeScript
// @vitest-environment node
|
|
import { afterEach, describe, expect, it, vi } from "vitest"
|
|
|
|
// No DNS in tests: only loopback addresses are private
|
|
vi.mock("@/lib/ssrf-protection", async (importOriginal) => ({
|
|
...(await importOriginal<typeof import("@/lib/ssrf-protection")>()),
|
|
isPrivateUrl: async (url: string) =>
|
|
/^https?:\/\/(127\.0\.0\.1|localhost)\b/.test(url),
|
|
}))
|
|
|
|
import { POST as providerModels } from "@/app/api/provider-models/route"
|
|
import {
|
|
canListModels,
|
|
extractAihubmixModelIds,
|
|
listProviderModels,
|
|
} from "@/lib/provider-models"
|
|
|
|
afterEach(() => {
|
|
vi.unstubAllGlobals()
|
|
})
|
|
|
|
/** A fetch that answers with this JSON and records the request */
|
|
function answer(json: unknown, status = 200) {
|
|
const calls: Array<{ url: string; headers: Record<string, string> }> = []
|
|
const fn = vi.fn(async (url: string, init?: RequestInit) => {
|
|
calls.push({ url, headers: (init?.headers ?? {}) as any })
|
|
return new Response(JSON.stringify(json), { status })
|
|
}) as unknown as typeof fetch
|
|
return { fn, calls }
|
|
}
|
|
|
|
describe("listProviderModels", () => {
|
|
it("reads an OpenAI-style list and drops models that are not for chat", async () => {
|
|
const { fn, calls } = answer({
|
|
data: [
|
|
{ id: "gpt-4.1" },
|
|
{ id: "text-embedding-3-small" },
|
|
{ id: "whisper-1" },
|
|
{ id: "gpt-image-1" },
|
|
],
|
|
})
|
|
const models = await listProviderModels("openai", { apiKey: "k" }, fn)
|
|
expect(models.map((m) => m.id)).toEqual(["gpt-4.1"])
|
|
// Tool support comes from models.dev when the list has none
|
|
expect(models[0].tools).toBe(true)
|
|
expect(calls[0].url).toBe("https://api.openai.com/v1/models")
|
|
expect(calls[0].headers.Authorization).toBe("Bearer k")
|
|
})
|
|
|
|
it("uses the base URL the user gave, without a pasted path", async () => {
|
|
const { fn, calls } = answer({ data: [{ id: "m" }] })
|
|
await listProviderModels(
|
|
"glm",
|
|
{
|
|
apiKey: "k",
|
|
baseUrl: "https://proxy.example.com/v4/chat/completions",
|
|
},
|
|
fn,
|
|
)
|
|
expect(calls[0].url).toBe("https://proxy.example.com/v4/models")
|
|
})
|
|
|
|
it("asks Anthropic with its own headers", async () => {
|
|
const { fn, calls } = answer({ data: [{ id: "claude-sonnet-4-5" }] })
|
|
await listProviderModels("anthropic", { apiKey: "k" }, fn)
|
|
expect(calls[0].url).toBe(
|
|
"https://api.anthropic.com/v1/models?limit=1000",
|
|
)
|
|
expect(calls[0].headers["x-api-key"]).toBe("k")
|
|
})
|
|
|
|
it("keeps Gemini models that generate content, without models/", async () => {
|
|
const { fn, calls } = answer({
|
|
models: [
|
|
{
|
|
name: "models/gemini-2.5-flash",
|
|
supportedGenerationMethods: ["generateContent"],
|
|
},
|
|
{
|
|
name: "models/text-embedding-004",
|
|
supportedGenerationMethods: ["embedContent"],
|
|
},
|
|
],
|
|
})
|
|
const models = await listProviderModels("google", { apiKey: "k" }, fn)
|
|
expect(models.map((m) => m.id)).toEqual(["gemini-2.5-flash"])
|
|
// The key is a header, not part of the URL
|
|
expect(calls[0].url).not.toContain("k&")
|
|
expect(calls[0].headers["x-goog-api-key"]).toBe("k")
|
|
})
|
|
|
|
it("reads Ollama's tags and OpenRouter's tool support", async () => {
|
|
const ollama = answer({ models: [{ name: "llama3.2" }] })
|
|
await listProviderModels(
|
|
"ollama",
|
|
{ baseUrl: "http://localhost:11434" },
|
|
ollama.fn,
|
|
)
|
|
expect(ollama.calls[0].url).toBe("http://localhost:11434/api/tags")
|
|
|
|
const openrouter = answer({
|
|
data: [
|
|
{ id: "a/with-tools", supported_parameters: ["tools"] },
|
|
{ id: "b/no-tools", supported_parameters: ["temperature"] },
|
|
],
|
|
})
|
|
const models = await listProviderModels("openrouter", {}, openrouter.fn)
|
|
expect(models).toEqual([
|
|
{ id: "a/with-tools", tools: true },
|
|
{ id: "b/no-tools", tools: false },
|
|
])
|
|
})
|
|
|
|
it("lists Ollama from where chat goes without a base URL", async () => {
|
|
const { fn, calls } = answer({ models: [{ name: "llama3.2" }] })
|
|
process.env.OLLAMA_BASE_URL = "http://ollama.internal:11434"
|
|
try {
|
|
await listProviderModels("ollama", {}, fn)
|
|
} finally {
|
|
delete process.env.OLLAMA_BASE_URL
|
|
}
|
|
await listProviderModels("ollama", {}, fn)
|
|
expect(calls.map((c) => c.url)).toEqual([
|
|
"http://ollama.internal:11434/api/tags",
|
|
"http://127.0.0.1:11434/api/tags",
|
|
])
|
|
})
|
|
|
|
it("lists Ollama Cloud with a user's key, like chat", async () => {
|
|
// The user's key must not go to the server's Ollama
|
|
const { fn, calls } = answer({ models: [{ name: "gpt-oss:120b" }] })
|
|
process.env.OLLAMA_BASE_URL = "http://ollama.internal:11434"
|
|
try {
|
|
await listProviderModels("ollama", { apiKey: "user-key" }, fn)
|
|
} finally {
|
|
delete process.env.OLLAMA_BASE_URL
|
|
}
|
|
expect(calls[0].url).toBe("https://ollama.com/api/tags")
|
|
})
|
|
|
|
it("does not use SGLang's local address as a default", async () => {
|
|
const { fn, calls } = answer({ data: [] })
|
|
await expect(
|
|
listProviderModels("sglang", { apiKey: "k" }, fn),
|
|
).rejects.toThrow(/base URL/)
|
|
expect(calls).toHaveLength(0)
|
|
})
|
|
|
|
it("turns a failed request into an error with its status", async () => {
|
|
const { fn } = answer({ error: "bad key" }, 401)
|
|
await expect(
|
|
listProviderModels("deepseek", { apiKey: "k" }, fn),
|
|
).rejects.toMatchObject({ statusCode: 401 })
|
|
})
|
|
})
|
|
|
|
describe("extractAihubmixModelIds", () => {
|
|
it("keeps unique chat models", () => {
|
|
expect(
|
|
extractAihubmixModelIds({
|
|
data: [
|
|
{ model_id: "claude-sonnet-4-5", types: "llm" },
|
|
{ model_id: "gpt-5.1", types: "llm" },
|
|
{ model_id: "gpt-5.1", types: "llm" },
|
|
{ model_id: "gpt-image-2", types: "image_generation,llm" },
|
|
{ model_id: "", types: "llm" },
|
|
],
|
|
}),
|
|
).toEqual(["claude-sonnet-4-5", "gpt-5.1"])
|
|
expect(extractAihubmixModelIds({ data: null })).toEqual([])
|
|
})
|
|
})
|
|
|
|
describe("POST /api/provider-models", () => {
|
|
const post = (body: unknown) =>
|
|
providerModels(
|
|
new Request("http://localhost/api/provider-models", {
|
|
method: "POST",
|
|
headers: { "Content-Type": "application/json" },
|
|
body: JSON.stringify(body),
|
|
}),
|
|
)
|
|
|
|
it("answers null for providers that cannot list models", async () => {
|
|
expect(canListModels("bedrock")).toBe(false)
|
|
expect(canListModels("toString" as never)).toBe(false)
|
|
const res = await post({ provider: "bedrock" })
|
|
expect(await res.json()).toEqual({ models: null })
|
|
})
|
|
|
|
it("needs the user's key where the list is not public", async () => {
|
|
const res = await post({ provider: "deepseek" })
|
|
expect(res.status).toBe(400)
|
|
})
|
|
|
|
it("explains a failure with the error hints", async () => {
|
|
vi.stubGlobal("fetch", answer({}, 401).fn)
|
|
const res = await post({ provider: "deepseek", apiKey: "k" })
|
|
expect(await res.json()).toMatchObject({ code: "invalid_api_key" })
|
|
})
|
|
|
|
// The base URL is the caller's, and private addresses are allowed by
|
|
// default (local Ollama), so the answer must not reveal what an
|
|
// internal address sent back
|
|
const text = (body: string) =>
|
|
vi.fn(
|
|
async () => new Response(body, { status: 200 }),
|
|
) as unknown as typeof fetch
|
|
|
|
it("does not repeat a body that is not JSON", async () => {
|
|
vi.stubGlobal("fetch", text("ROLE-NAME-OF-THE-SERVER"))
|
|
const res = await post({
|
|
provider: "ollama",
|
|
baseUrl: "http://169.254.169.254/latest/meta-data/x?",
|
|
})
|
|
const data = await res.json()
|
|
expect(data.error).toBe("The model list was not valid JSON.")
|
|
expect(JSON.stringify(data)).not.toContain("ROLE")
|
|
})
|
|
|
|
it("stops reading a list over 2 MB, also through the Gateway SDK", async () => {
|
|
const huge = JSON.stringify({ data: [{ id: "x".repeat(3_000_000) }] })
|
|
for (const body of [
|
|
{ provider: "ollama", baseUrl: "https://big.example.com" },
|
|
{
|
|
provider: "gateway",
|
|
apiKey: "k",
|
|
baseUrl: "https://big.example.com/v3/ai",
|
|
},
|
|
]) {
|
|
vi.stubGlobal("fetch", text(huge))
|
|
const data = await (await post(body)).json()
|
|
expect(data.error).toBe("The model list is too large.")
|
|
expect(data.models).toBeUndefined()
|
|
}
|
|
})
|
|
|
|
it("ends the download of a list that is too large", async () => {
|
|
// The answer announces 4 MB and never finishes
|
|
let signal: AbortSignal | undefined
|
|
vi.stubGlobal(
|
|
"fetch",
|
|
vi.fn(async (_url: string, init?: RequestInit) => {
|
|
signal = init?.signal ?? undefined
|
|
const body = new ReadableStream({ start() {} })
|
|
return new Response(body, {
|
|
headers: { "content-length": String(4 * 1024 * 1024) },
|
|
})
|
|
}),
|
|
)
|
|
const data = await (
|
|
await post({
|
|
provider: "ollama",
|
|
baseUrl: "https://big.example.com",
|
|
})
|
|
).json()
|
|
expect(data.error).toBe("The model list is too large.")
|
|
expect(signal?.aborted).toBe(true)
|
|
})
|
|
|
|
it("handles answers without a body", async () => {
|
|
for (const status of [204, 304]) {
|
|
vi.stubGlobal(
|
|
"fetch",
|
|
vi.fn(async () => new Response(null, { status })),
|
|
)
|
|
const data = await (
|
|
await post({ provider: "ollama", baseUrl: "https://x.example" })
|
|
).json()
|
|
expect(data.error).toMatch(/not valid JSON|failed \(304\)/)
|
|
}
|
|
})
|
|
|
|
it("explains a refused redirect", async () => {
|
|
process.env.ALLOW_PRIVATE_URLS = "false"
|
|
try {
|
|
vi.stubGlobal(
|
|
"fetch",
|
|
vi.fn(
|
|
async () =>
|
|
new Response(null, {
|
|
status: 301,
|
|
headers: { location: "https://elsewhere.example" },
|
|
}),
|
|
),
|
|
)
|
|
const data = await (
|
|
await post({ provider: "ollama", baseUrl: "https://x.example" })
|
|
).json()
|
|
expect(data.error).toMatch(/Redirects are not allowed/)
|
|
} finally {
|
|
delete process.env.ALLOW_PRIVATE_URLS
|
|
}
|
|
})
|
|
|
|
it("keeps its own explanations and hides other error texts", async () => {
|
|
// Our own: no base URL for SGLang
|
|
const own = await (
|
|
await post({ provider: "sglang", apiKey: "k" })
|
|
).json()
|
|
expect(own.error).toMatch(/needs a base URL/)
|
|
// Not ours: an exception text from the network layer
|
|
vi.stubGlobal(
|
|
"fetch",
|
|
vi.fn(async () => {
|
|
throw new Error("connect ECONNREFUSED 10.1.2.3:8080")
|
|
}),
|
|
)
|
|
const other = await (
|
|
await post({ provider: "ollama", baseUrl: "http://10.1.2.3:8080" })
|
|
).json()
|
|
expect(other.error).toBe("The model list request failed.")
|
|
})
|
|
})
|