opencode/packages/tui/test/mini/catalog.shared.test.ts
2026-07-19 14:12:22 +02:00

131 lines
3.6 KiB
TypeScript

import { afterEach, describe, expect, mock, spyOn, test } from "bun:test"
import { OpenCode } from "@opencode-ai/client/promise"
import { loadRunReferences, runProviders, waitForDefaultModel } from "../../src/mini/catalog.shared"
afterEach(() => {
mock.restore()
})
describe("run catalog shared", () => {
test("resolves the catalog-selected model for the footer", async () => {
const client = OpenCode.make({ baseUrl: "https://opencode.test" })
const selected = spyOn(client.model, "default").mockImplementation(
() =>
Promise.resolve({
location: { directory: "/tmp", project: { id: "proj_1", directory: "/tmp" } },
data: { id: "gpt-5", providerID: "openai" },
}) as never,
)
await expect(waitForDefaultModel({ sdk: client, directory: "/tmp" })).resolves.toEqual({
providerID: "openai",
modelID: "gpt-5",
})
expect(selected).toHaveBeenCalledWith({ location: { directory: "/tmp" } })
})
test("loads visible project references from the current reference catalog", async () => {
const client = OpenCode.make({ baseUrl: "https://opencode.test" })
const list = spyOn(client.reference, "list").mockImplementation(
() =>
Promise.resolve({
location: { directory: "/tmp", project: { id: "proj_1", directory: "/tmp" } },
data: [
{
name: "effect",
path: "/repos/effect",
description: "Effect v4 sources",
source: { type: "local", path: "/repos/effect" },
},
{
name: "secret",
path: "/repos/secret",
hidden: true,
source: { type: "local", path: "/repos/secret" },
},
],
}) as never,
)
const references = await loadRunReferences(client, "/tmp")
expect(list).toHaveBeenCalledWith({ location: { directory: "/tmp" } })
expect(references).toMatchObject([{ name: "effect", path: "/repos/effect", description: "Effect v4 sources" }])
})
test("merges current providers and models into the footer catalog shape", () => {
const providers = runProviders(
[
{
id: "openai",
name: "OpenAI",
package: "",
},
],
[
{
id: "gpt-5",
modelID: "openai",
providerID: "openai",
name: "Little Frank",
capabilities: {
tools: true,
input: ["text"],
output: ["text"],
},
variants: [{ id: "high" }],
time: {
released: 1,
},
cost: [
{
input: 0,
output: 0,
cache: {
read: 0,
write: 0,
},
},
],
status: "active",
enabled: true,
limit: {
context: 128000,
output: 8192,
},
},
],
)
expect(providers).toEqual([
{
id: "openai",
name: "OpenAI",
models: {
"gpt-5": {
id: "gpt-5",
providerID: "openai",
name: "Little Frank",
capabilities: expect.objectContaining({ tools: true }),
cost: {
input: 0,
output: 0,
cache: {
read: 0,
write: 0,
},
},
limit: {
context: 128000,
output: 8192,
},
status: "active",
variants: {
high: {},
},
},
},
},
])
})
})