Files
OmniRoute/tests/unit/inspector-sse-merger.test.ts
Diego Rodrigues de Sa e Souza 3026183120 refactor(mitm): replace inspector utilities clean-room (#11748)
Merged via /merge-batch (v3.8.51 provenance sweep). Boarded and validated together with the batch's other provenance PRs in a combined worktree — full gate suite green. Thank you.
2026-08-28 05:04:49 -03:00

280 lines
9.8 KiB
TypeScript

import test from "node:test";
import assert from "node:assert/strict";
import {
detectApiFormat,
mergeStream,
parseSseStream,
rebuildAnthropic,
rebuildGemini,
rebuildOpenAI,
type SseEvent,
} from "../../src/mitm/inspector/sseMerger.ts";
function jsonChunks(payloads: unknown[]): SseEvent[] {
return payloads.map((p) => ({ data: JSON.stringify(p), json: p }));
}
test("detectApiFormat — message_start → anthropic", () => {
const chunks = jsonChunks([{ type: "message_start", message: { id: "msg_1" } }]);
assert.equal(detectApiFormat(chunks), "anthropic");
});
test("detectApiFormat — content_block_delta → anthropic", () => {
const chunks = jsonChunks([
{ type: "content_block_delta", index: 0, delta: { type: "text_delta", text: "Hi" } },
]);
assert.equal(detectApiFormat(chunks), "anthropic");
});
test("detectApiFormat — Anthropic SSE event name is authoritative when JSON type is absent", () => {
const chunks: SseEvent[] = [{ event: "message_start", data: "{}", json: {} }];
assert.equal(detectApiFormat(chunks), "anthropic");
});
test("detectApiFormat — choices[].delta → openai", () => {
const chunks = jsonChunks([{ choices: [{ index: 0, delta: { content: "Hi" } }] }]);
assert.equal(detectApiFormat(chunks), "openai");
});
test("detectApiFormat — candidates → gemini", () => {
const chunks = jsonChunks([{ candidates: [{ content: { parts: [{ text: "Hello" }] } }] }]);
assert.equal(detectApiFormat(chunks), "gemini");
});
test("detectApiFormat — Gemini usage-only terminal chunk remains identifiable", () => {
const chunks = jsonChunks([
{ usageMetadata: { promptTokenCount: 3, candidatesTokenCount: 2 }, modelVersion: "gemini" },
]);
assert.equal(detectApiFormat(chunks), "gemini");
});
test("detectApiFormat — no JSON chunks → unknown", () => {
assert.equal(detectApiFormat([{ data: "weird non-json" }]), "unknown");
});
test("rebuildAnthropic — concat text_delta by index", () => {
const chunks = jsonChunks([
{ type: "message_start", message: { id: "msg_1" } },
{ type: "content_block_start", index: 0, content_block: { type: "text" } },
{ type: "content_block_delta", index: 0, delta: { type: "text_delta", text: "Hello" } },
{ type: "content_block_delta", index: 0, delta: { type: "text_delta", text: " world" } },
{ type: "content_block_stop", index: 0 },
{ type: "message_delta", delta: { stop_reason: "end_turn" }, usage: { output_tokens: 7 } },
]);
const merged = rebuildAnthropic(chunks);
assert.equal(merged.format, "anthropic");
const msg = merged.message as {
content: Array<{ text: string }>;
stop_reason: string;
usage: { output_tokens: number };
};
assert.equal(msg.content[0].text, "Hello world");
assert.equal(msg.stop_reason, "end_turn");
assert.equal(msg.usage.output_tokens, 7);
});
test("rebuildAnthropic — input_json_delta merges and JSON.parses", () => {
const chunks = jsonChunks([
{ type: "message_start", message: {} },
{
type: "content_block_start",
index: 0,
content_block: { type: "tool_use", id: "tu_1", name: "search" },
},
{
type: "content_block_delta",
index: 0,
delta: { type: "input_json_delta", partial_json: '{"q":' },
},
{
type: "content_block_delta",
index: 0,
delta: { type: "input_json_delta", partial_json: '"hi"}' },
},
{ type: "content_block_stop", index: 0 },
]);
const merged = rebuildAnthropic(chunks);
const msg = merged.message as {
content: Array<{ type: string; input: { q: string }; name: string }>;
};
assert.equal(msg.content[0].type, "tool_use");
assert.equal(msg.content[0].name, "search");
assert.deepEqual(msg.content[0].input, { q: "hi" });
});
test("rebuildAnthropic — thinking_delta accumulates", () => {
const chunks = jsonChunks([
{ type: "content_block_start", index: 0, content_block: { type: "thinking" } },
{ type: "content_block_delta", index: 0, delta: { type: "thinking_delta", thinking: "I am " } },
{
type: "content_block_delta",
index: 0,
delta: { type: "thinking_delta", thinking: "thinking..." },
},
]);
const merged = rebuildAnthropic(chunks);
const msg = merged.message as { content: Array<{ thinking: string }> };
assert.equal(msg.content[0].thinking, "I am thinking...");
});
test("rebuildOpenAI — concat delta.content per choice index", () => {
const chunks = jsonChunks([
{
id: "c1",
model: "gpt-4",
choices: [{ index: 0, delta: { role: "assistant", content: "Hel" } }],
},
{ choices: [{ index: 0, delta: { content: "lo" }, finish_reason: null }] },
{ choices: [{ index: 0, delta: {}, finish_reason: "stop" }] },
{ usage: { prompt_tokens: 3, completion_tokens: 1 } },
]);
const merged = rebuildOpenAI(chunks);
assert.equal(merged.format, "openai");
const msg = merged.message as {
id: string;
model: string;
choices: Array<{ message: { content: string; role: string }; finish_reason: string }>;
usage: { prompt_tokens: number };
};
assert.equal(msg.id, "c1");
assert.equal(msg.model, "gpt-4");
assert.equal(msg.choices[0].message.content, "Hello");
assert.equal(msg.choices[0].message.role, "assistant");
assert.equal(msg.choices[0].finish_reason, "stop");
assert.equal(msg.usage.prompt_tokens, 3);
});
test("rebuildOpenAI — merges tool_calls per (choice, tool) index", () => {
const chunks = jsonChunks([
{
choices: [
{
index: 0,
delta: {
tool_calls: [
{
index: 0,
id: "tc_1",
type: "function",
function: { name: "search", arguments: '{"q":' },
},
],
},
},
],
},
{
choices: [
{
index: 0,
delta: {
tool_calls: [{ index: 0, function: { arguments: '"hi"}' } }],
},
},
],
},
]);
const merged = rebuildOpenAI(chunks);
const msg = merged.message as {
choices: Array<{
message: {
tool_calls: Array<{ id: string; function: { name: string; arguments: string } }>;
};
}>;
};
assert.equal(msg.choices[0].message.tool_calls[0].id, "tc_1");
assert.equal(msg.choices[0].message.tool_calls[0].function.name, "search");
assert.equal(msg.choices[0].message.tool_calls[0].function.arguments, '{"q":"hi"}');
});
test("rebuildOpenAI — reconstructs Responses API text items and completion metadata", () => {
const chunks = jsonChunks([
{ type: "response.created", response: { id: "resp_1", object: "response", output: [] } },
{
type: "response.output_item.added",
output_index: 0,
item: { id: "msg_1", type: "message", role: "assistant", content: [] },
},
{
type: "response.content_part.added",
output_index: 0,
content_index: 0,
part: { type: "output_text", text: "" },
},
{ type: "response.output_text.delta", output_index: 0, content_index: 0, delta: "Hel" },
{ type: "response.output_text.delta", output_index: 0, content_index: 0, delta: "lo" },
{
type: "response.completed",
response: {
id: "resp_1",
object: "response",
status: "completed",
output: [],
usage: { input_tokens: 2, output_tokens: 1, total_tokens: 3 },
},
},
]);
const merged = rebuildOpenAI(chunks);
const response = merged.message as {
status: string;
usage: { total_tokens: number };
output: Array<{ id: string; content: Array<{ text: string }> }>;
};
assert.equal(response.status, "completed");
assert.equal(response.usage.total_tokens, 3);
assert.equal(response.output[0].id, "msg_1");
assert.equal(response.output[0].content[0].text, "Hello");
});
test("rebuildGemini — merges parts across candidates", () => {
const chunks = jsonChunks([
{ candidates: [{ content: { parts: [{ text: "Hello " }] } }] },
{ candidates: [{ content: { parts: [{ text: "world" }] } }] },
{ usageMetadata: { promptTokenCount: 2, candidatesTokenCount: 2 } },
]);
const merged = rebuildGemini(chunks);
assert.equal(merged.format, "gemini");
const msg = merged.message as {
candidates: Array<{ content: { parts: Array<{ text: string }> } }>;
usageMetadata: { promptTokenCount: number };
};
assert.equal(msg.candidates[0].content.parts.length, 2);
assert.equal(msg.candidates[0].content.parts[0].text, "Hello ");
assert.equal(msg.candidates[0].content.parts[1].text, "world");
assert.equal(msg.usageMetadata.promptTokenCount, 2);
});
test("mergeStream — unknown format returns raw fallback (no crash)", () => {
const chunks: SseEvent[] = [{ data: "garbage" }, { data: "{}", json: { foo: 1 } }];
const merged = mergeStream(chunks);
assert.equal(merged.format, "unknown");
assert.ok(Array.isArray(merged.raw));
assert.equal(merged.raw!.length, 2);
});
test("parseSseStream — parses event/data blocks separated by blank lines", () => {
const raw = "event: foo\ndata: 1\n\n" + 'data: {"x":1}\n\n' + "data: [DONE]\n\n";
const events = parseSseStream(raw);
assert.equal(events.length, 3);
assert.equal(events[0].event, "foo");
assert.deepEqual(events[1].json, { x: 1 });
assert.equal(events[2].data, "[DONE]");
});
test("parseSseStream — keeps raw data when JSON parse fails", () => {
const events = parseSseStream("data: {not-json\n\n");
assert.equal(events.length, 1);
assert.equal(events[0].data, "{not-json");
assert.equal(events[0].json, undefined);
});
test("mergeStream — dispatches by detected format", () => {
const anth = mergeStream(jsonChunks([{ type: "message_start", message: {} }]));
assert.equal(anth.format, "anthropic");
const oai = mergeStream(jsonChunks([{ choices: [{ delta: { content: "x" } }] }]));
assert.equal(oai.format, "openai");
const gem = mergeStream(jsonChunks([{ candidates: [{ content: { parts: [{ text: "x" }] } }] }]));
assert.equal(gem.format, "gemini");
});