mirror of
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128 lines
5.0 KiB
JavaScript
128 lines
5.0 KiB
JavaScript
/**
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* Unit tests for open-sse/translator/response/commandcode-to-openai.js
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*
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* Verified live against upstream stream (curl, 2026-05-07):
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* - tool-input-start: { id, toolName } (id, NOT toolCallId)
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* - tool-input-delta: { id, delta } (id, NOT toolCallId; delta, NOT inputTextDelta)
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* - tool-input-end: { id }
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* - tool-call (final): { toolCallId, toolName, input }
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*/
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import { describe, it, expect } from "vitest";
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import { convertCommandCodeToOpenAI } from "../../open-sse/translator/response/commandcode-to-openai.js";
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function feed(events) {
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const state = {};
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const all = [];
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for (const e of events) {
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const out = convertCommandCodeToOpenAI(JSON.stringify(e), state);
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if (out) for (const c of out) all.push(c);
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}
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return { state, chunks: all };
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}
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describe("commandcode-to-openai — text-delta", () => {
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it("emits assistant role on first delta then content-only", () => {
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const { chunks } = feed([
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{ type: "text-delta", text: "Hello" },
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{ type: "text-delta", text: " world" },
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]);
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expect(chunks[0].choices[0].delta.role).toBe("assistant");
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expect(chunks[0].choices[0].delta.content).toBe("Hello");
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expect(chunks[1].choices[0].delta.role).toBeUndefined();
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expect(chunks[1].choices[0].delta.content).toBe(" world");
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});
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});
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describe("commandcode-to-openai — reasoning-delta", () => {
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it("maps reasoning-delta to reasoning_content delta", () => {
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const { chunks } = feed([
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{ type: "reasoning-delta", text: "thinking..." },
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]);
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expect(chunks[0].choices[0].delta.reasoning_content).toBe("thinking...");
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});
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});
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describe("commandcode-to-openai — tool-input-* with id field (live schema)", () => {
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it("registers tool index using event.id (NOT toolCallId)", () => {
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const { chunks } = feed([
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{ type: "tool-input-start", id: "call_X", toolName: "Bash" },
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{ type: "tool-input-delta", id: "call_X", delta: "{\"cmd" },
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{ type: "tool-input-delta", id: "call_X", delta: "\":\"ls\"}" },
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]);
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// First chunk emits tool_calls with id
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const startChunk = chunks[0].choices[0].delta.tool_calls[0];
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expect(startChunk.id).toBe("call_X");
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expect(startChunk.function.name).toBe("Bash");
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// Subsequent deltas accumulate arguments
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expect(chunks[1].choices[0].delta.tool_calls[0].function.arguments).toBe("{\"cmd");
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expect(chunks[2].choices[0].delta.tool_calls[0].function.arguments).toBe("\":\"ls\"}");
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});
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it("ignores tool-input-delta when id is unknown (no prior start)", () => {
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const { chunks } = feed([
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{ type: "tool-input-delta", id: "unknown", delta: "x" },
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]);
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expect(chunks.length).toBe(0);
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});
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});
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describe("commandcode-to-openai — final tool-call event", () => {
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it("does NOT re-emit tool_calls when tool-input-* deltas already fired", () => {
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const { chunks } = feed([
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{ type: "tool-input-start", id: "call_Y", toolName: "Write" },
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{ type: "tool-input-delta", id: "call_Y", delta: "{\"file\":\"a\"}" },
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{ type: "tool-call", toolCallId: "call_Y", toolName: "Write", input: { file: "a" } },
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]);
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// Should be exactly 2 chunks (start + delta), no duplicate from final tool-call
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expect(chunks.length).toBe(2);
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});
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it("emits a consolidated tool_calls when only the final tool-call event arrives", () => {
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const { chunks } = feed([
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{ type: "tool-call", toolCallId: "call_Z", toolName: "Read", input: { path: "/x" } },
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]);
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expect(chunks.length).toBe(1);
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const tc = chunks[0].choices[0].delta.tool_calls[0];
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expect(tc.id).toBe("call_Z");
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expect(tc.function.name).toBe("Read");
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expect(tc.function.arguments).toBe(JSON.stringify({ path: "/x" }));
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});
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});
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describe("commandcode-to-openai — finish", () => {
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it("emits a final chunk with finish_reason=tool_calls when finishReason is tool-calls", () => {
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const { chunks } = feed([
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{ type: "tool-input-start", id: "call_F", toolName: "Bash" },
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{ type: "tool-input-delta", id: "call_F", delta: "{}" },
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{ type: "finish-step", finishReason: "tool-calls" },
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{ type: "finish" },
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]);
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const last = chunks[chunks.length - 1];
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expect(last.choices[0].finish_reason).toBe("tool_calls");
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});
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it("includes usage on the final chunk when totalUsage provided", () => {
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const { chunks } = feed([
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{ type: "text-delta", text: "hi" },
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{ type: "finish-step", finishReason: "stop", usage: { inputTokens: 10, outputTokens: 5, totalTokens: 15 } },
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{ type: "finish", totalUsage: { inputTokens: 10, outputTokens: 5, totalTokens: 15 } },
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]);
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const last = chunks[chunks.length - 1];
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expect(last.usage).toEqual({ prompt_tokens: 10, completion_tokens: 5, total_tokens: 15 });
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});
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});
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describe("commandcode-to-openai — error event", () => {
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it("stringifies object errors so client sees readable message", () => {
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const { chunks } = feed([
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{ type: "error", error: { type: "server_error", message: "Boom" } },
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]);
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const text = chunks[0].choices[0].delta.content;
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expect(text).toContain("Boom");
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expect(text).not.toContain("[object Object]");
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});
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});
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