Files
9router/tests/unit/openai-to-commandcode.test.js
luulam fcd3dcb409 feat(translator): add vision support for commandcode provider
Map OpenAI image_url / Claude-style image blocks to the {type:"image",
image:"<data URI|url>"} shape the command-code CLI sends to /alpha/generate
instead of dropping them to "[image omitted]". Handles data URIs, raw base64
(with media_type / image/png fallback), and remote URLs.

- Promote bugs-gemini-cursor-commandcode "image content is preserved" from
  it.fails to a real assertion (bug fixed)
- Add vision unit tests to openai-to-commandcode.test.js
- Add test-commandcode-vision.sh curl helper for live verification

Co-authored-by: CommandCodeBot <noreply@commandcode.ai>
2026-08-03 17:06:32 +07:00

355 lines
8.4 KiB
JavaScript

/**
* Unit tests for open-sse/translator/request/openai-to-commandcode.js
*
* Verified live against upstream `/alpha/generate` (curl, 2026-05-07):
* - params.system: STRING at top level (Anthropic-style; "system" role NOT in messages[])
* - params.messages[*].role ∈ {"user","assistant","tool"}
* - params.messages[*].content: Array<content_block> (NEVER string)
* - tools[*]: Anthropic plain {name, description, input_schema}
*/
import { describe, it, expect } from "vitest";
import { openaiToCommandCodeRequest } from "../../open-sse/translator/request/openai-to-commandcode.js";
const MODEL = "moonshotai/Kimi-K2.6";
describe("openaiToCommandCodeRequest — basic envelope", () => {
it("returns the expected top-level envelope shape", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [{ role: "user", content: "hi" }],
},
true,
);
expect(out).toHaveProperty("threadId");
expect(out).toHaveProperty("memory");
expect(out).toHaveProperty("config");
expect(out).toHaveProperty("params");
expect(out.params.model).toBe(MODEL);
expect(out.params.stream).toBe(true);
});
});
describe("openaiToCommandCodeRequest — system handling", () => {
it("hoists system messages to params.system (string), not messages[]", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [
{ role: "system", content: "You are concise." },
{ role: "user", content: "hi" },
],
},
true,
);
expect(typeof out.params.system).toBe("string");
expect(out.params.system).toBe("You are concise.");
const roles = out.params.messages.map((m) => m.role);
expect(roles).not.toContain("system");
});
it("joins multiple system messages with blank line", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [
{ role: "system", content: "A" },
{ role: "system", content: "B" },
{ role: "user", content: "hi" },
],
},
true,
);
expect(out.params.system).toBe("A\n\nB");
});
it("omits params.system when no system messages", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [{ role: "user", content: "hi" }],
},
true,
);
expect(out.params.system).toBeUndefined();
});
});
describe("openaiToCommandCodeRequest — vision / image blocks", () => {
const PNG =
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg==";
it('maps OpenAI image_url (data URI) → {type:"image", image:"data:..."}', () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [
{
role: "user",
content: [
{ type: "text", text: "What color?" },
{
type: "image_url",
image_url: { url: `data:image/png;base64,${PNG}` },
},
],
},
],
},
true,
);
const blocks = out.params.messages[0].content;
expect(blocks[0]).toEqual({ type: "text", text: "What color?" });
expect(blocks[1]).toEqual({
type: "image",
image: `data:image/png;base64,${PNG}`,
});
});
it("maps Claude-style image block (source.base64) → data URI with media_type", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [
{
role: "user",
content: [
{
type: "image",
source: {
type: "base64",
media_type: "image/jpeg",
data: "AAAA",
},
},
],
},
],
},
true,
);
expect(out.params.messages[0].content[0]).toEqual({
type: "image",
image: "data:image/jpeg;base64,AAAA",
});
});
it("passes raw URL through when image_url is a remote http(s) URL", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [
{
role: "user",
content: [
{
type: "image_url",
image_url: { url: "https://example.com/a.png" },
},
],
},
],
},
true,
);
expect(out.params.messages[0].content[0]).toEqual({
type: "image",
image: "https://example.com/a.png",
});
});
it("skips image block when no usable image source", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [
{
role: "user",
content: [{ type: "image_url", image_url: { url: "" } }],
},
],
},
true,
);
const blocks = out.params.messages[0].content;
expect(blocks.every((b) => b.type !== "image")).toBe(true);
});
});
describe("openaiToCommandCodeRequest — content shape", () => {
it("MUST always emit content as Array (never string) for user", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [{ role: "user", content: "hello" }],
},
true,
);
const u = out.params.messages[0];
expect(Array.isArray(u.content)).toBe(true);
expect(u.content[0]).toEqual({ type: "text", text: "hello" });
});
it("MUST always emit content as Array for assistant", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [
{ role: "user", content: "a" },
{ role: "assistant", content: "b" },
],
},
true,
);
const a = out.params.messages[1];
expect(Array.isArray(a.content)).toBe(true);
expect(a.content[0]).toEqual({ type: "text", text: "b" });
});
});
describe("openaiToCommandCodeRequest — tool role / tool-result (AI SDK)", () => {
it('converts role:"tool" to role:"tool" with tool-result block; output is {type:"text",value}', () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [
{ role: "user", content: "run X" },
{
role: "assistant",
content: null,
tool_calls: [
{
id: "call_1",
type: "function",
function: { name: "do_x", arguments: '{"a":1}' },
},
],
},
{
role: "tool",
tool_call_id: "call_1",
name: "do_x",
content: "RESULT_OK",
},
],
},
true,
);
const toolMsg = out.params.messages[out.params.messages.length - 1];
expect(toolMsg.role).toBe("tool");
const block = toolMsg.content[0];
expect(block.type).toBe("tool-result");
expect(block.toolCallId).toBe("call_1");
expect(block.toolName).toBe("do_x");
expect(block.output).toEqual({ type: "text", value: "RESULT_OK" });
});
});
describe("openaiToCommandCodeRequest — assistant tool_calls / tool-call", () => {
it("converts assistant.tool_calls[] into content blocks of type tool-call", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [
{ role: "user", content: "go" },
{
role: "assistant",
content: null,
tool_calls: [
{
id: "call_42",
type: "function",
function: { name: "search", arguments: '{"q":"hi"}' },
},
],
},
],
},
true,
);
const asst = out.params.messages[1];
expect(asst.role).toBe("assistant");
const tc = asst.content.find((b) => b.type === "tool-call");
expect(tc).toBeDefined();
expect(tc.toolCallId).toBe("call_42");
expect(tc.toolName).toBe("search");
expect(tc.input).toEqual({ q: "hi" });
});
});
describe("openaiToCommandCodeRequest — tools schema conversion", () => {
it('converts OpenAI {type:"function", function:{...}} to Anthropic plain {name, input_schema}', () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [{ role: "user", content: "hi" }],
tools: [
{
type: "function",
function: {
name: "weather",
description: "Get weather",
parameters: {
type: "object",
properties: { city: { type: "string" } },
required: ["city"],
},
},
},
],
},
true,
);
const t = out.params.tools[0];
expect(t.name).toBe("weather");
expect(t.input_schema).toBeDefined();
expect(t.input_schema.type).toBe("object");
expect(t.function).toBeUndefined();
expect(t.parameters).toBeUndefined();
});
it("preserves description on converted tool", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [{ role: "user", content: "hi" }],
tools: [
{
type: "function",
function: {
name: "ping",
description: "Ping the server",
parameters: { type: "object" },
},
},
],
},
true,
);
expect(out.params.tools[0].description).toBe("Ping the server");
});
it("does not include tools field when input has none", () => {
const out = openaiToCommandCodeRequest(
MODEL,
{
messages: [{ role: "user", content: "hi" }],
},
true,
);
expect(out.params.tools).toBeUndefined();
});
});