Fase 8 · Bloco B — suíte de correção (property + golden + SSE-correctness) (#3808)

Integrated into release/v3.8.25 — Fase 8 Bloco B (property + golden + SSE-correctness).
This commit is contained in:
Diego Rodrigues de Sa e Souza
2026-06-14 18:02:51 -03:00
committed by GitHub
parent cf5898205a
commit 931afe3482
34 changed files with 1054 additions and 12 deletions

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[
{
"name": "claude-to-openai/basic-message",
"sourceFormat": "claude",
"targetFormat": "openai",
"input": {
"model": "gpt-4o",
"messages": [{ "role": "user", "content": [{ "type": "text", "text": "Hello" }] }],
"max_tokens": 512
}
},
{
"name": "claude-to-openai/with-system",
"sourceFormat": "claude",
"targetFormat": "openai",
"input": {
"model": "gpt-4o-mini",
"system": [{ "type": "text", "text": "Be helpful." }],
"messages": [{ "role": "user", "content": [{ "type": "text", "text": "What is 1+1?" }] }],
"max_tokens": 256
}
}
]

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[
{
"name": "gemini-to-openai/basic-chat",
"sourceFormat": "gemini",
"targetFormat": "openai",
"input": {
"model": "gpt-4o",
"contents": [{ "role": "user", "parts": [{ "text": "Hello from Gemini format!" }] }]
}
},
{
"name": "gemini-to-openai/multi-turn",
"sourceFormat": "gemini",
"targetFormat": "openai",
"input": {
"model": "gpt-4o-mini",
"contents": [
{ "role": "user", "parts": [{ "text": "What is 2+2?" }] },
{ "role": "model", "parts": [{ "text": "4" }] },
{ "role": "user", "parts": [{ "text": "And 3+3?" }] }
]
}
}
]

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[
{
"name": "openai-to-claude/basic-chat",
"sourceFormat": "openai",
"targetFormat": "claude",
"input": {
"model": "claude-opus-4-5",
"messages": [{ "role": "user", "content": "hi" }]
}
},
{
"name": "openai-to-claude/with-system",
"sourceFormat": "openai",
"targetFormat": "claude",
"input": {
"model": "claude-sonnet-4-6",
"messages": [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": "Hello!" }
],
"max_tokens": 1024
}
},
{
"name": "openai-to-claude/multi-turn",
"sourceFormat": "openai",
"targetFormat": "claude",
"input": {
"model": "claude-haiku-4-5",
"messages": [
{ "role": "user", "content": "What is 2+2?" },
{ "role": "assistant", "content": "4" },
{ "role": "user", "content": "And 3+3?" }
]
}
}
]

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[
{
"name": "openai-to-gemini/basic-chat",
"sourceFormat": "openai",
"targetFormat": "gemini",
"input": {
"model": "gemini-2.5-flash",
"messages": [{ "role": "user", "content": "Hello Gemini!" }]
}
},
{
"name": "openai-to-gemini/with-system",
"sourceFormat": "openai",
"targetFormat": "gemini",
"input": {
"model": "gemini-2.5-pro",
"messages": [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": "Tell me a joke." }
],
"temperature": 0.7
}
}
]

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[
{
"name": "openai-stream/two-deltas-then-done",
"chunks": [
"data: {\"choices\":[{\"delta\":{\"content\":\"He\"}}]}\n\n",
"data: {\"choices\":[{\"delta\":{\"content\":\"llo\"}}]}\n\n",
"data: [DONE]\n\n"
],
"expectedText": "Hello"
},
{
"name": "openai-stream/single-delta-then-done",
"chunks": ["data: {\"choices\":[{\"delta\":{\"content\":\"World\"}}]}\n\n", "data: [DONE]\n\n"],
"expectedText": "World"
},
{
"name": "openai-stream/multiple-deltas",
"chunks": [
"data: {\"choices\":[{\"delta\":{\"content\":\"foo\"}}]}\n\n",
"data: {\"choices\":[{\"delta\":{\"content\":\" \"}}]}\n\n",
"data: {\"choices\":[{\"delta\":{\"content\":\"bar\"}}]}\n\n",
"data: [DONE]\n\n"
],
"expectedText": "foo bar"
}
]

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/**
* Controllable fake upstream ReadableStream for integration tests.
* Allows pushing chunks, closing, erroring, and observing cancel.
*/
export function fakeUpstreamStream() {
let controllerRef: ReadableStreamDefaultController<Uint8Array> | null = null;
let cancelCb: ((reason?: unknown) => void) | null = null;
const enc = new TextEncoder();
const stream = new ReadableStream<Uint8Array>({
start(controller) {
controllerRef = controller;
},
cancel(reason) {
cancelCb?.(reason);
},
});
return {
stream,
push: (s: string) => controllerRef?.enqueue(enc.encode(s)),
close: () => controllerRef?.close(),
error: (e: unknown) => controllerRef?.error(e),
onCancel: (cb: (reason?: unknown) => void) => {
cancelCb = cb;
},
};
}

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import fs from "node:fs";
import path from "node:path";
import { fileURLToPath } from "node:url";
const DEFAULT_DIR = path.resolve(path.dirname(fileURLToPath(import.meta.url)), "../snapshots");
/** Stable JSON serialization: object keys sorted recursively. */
function stable(v: unknown): string {
return JSON.stringify(
v,
(_k, val) =>
val && typeof val === "object" && !Array.isArray(val)
? Object.fromEntries(
Object.keys(val as Record<string, unknown>)
.sort()
.map((k) => [k, (val as Record<string, unknown>)[k]])
)
: val,
2
);
}
class GoldenMismatchError extends Error {
constructor(name: string, expected: string, actual: string) {
super(
`golden mismatch for "${name}". Run with UPDATE_GOLDEN=1 to regenerate.\n--- expected\n${expected}\n--- actual\n${actual}`
);
this.name = "GoldenMismatchError";
}
}
/**
* Compare `value` with a stable JSON snapshot at `tests/snapshots/<name>.json`.
* - First run (file missing): writes the file and passes.
* - UPDATE_GOLDEN=1: rewrites the file and passes.
* - Mismatch: throws GoldenMismatchError with a diff-friendly message.
*
* @param name - Slash-separated path under tests/snapshots/ (e.g. "translation/openai-to-claude/basic-chat")
* @param value - The value to serialize and compare.
* @param dir - Optional override for snapshot root directory (used in tests to isolate to tmpdir).
*/
export function goldenSnapshot(name: string, value: unknown, dir = DEFAULT_DIR): void {
const file = path.join(dir, `${name}.json`);
const serialized = stable(value);
if (process.env.UPDATE_GOLDEN === "1" || !fs.existsSync(file)) {
fs.mkdirSync(path.dirname(file), { recursive: true });
fs.writeFileSync(file, serialized + "\n");
return;
}
const expected = fs.readFileSync(file, "utf8").trimEnd();
if (serialized !== expected) {
throw new GoldenMismatchError(name, expected, serialized);
}
}

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import fc from "fast-check";
import { PROPERTY_SEED, PROPERTY_NUM_RUNS } from "../../scripts/quality/property-seed.mjs";
const envSeed = process.env.FC_SEED;
export const seed = envSeed === "random" ? undefined : envSeed ? Number(envSeed) : PROPERTY_SEED;
export const numRuns = process.env.FC_NUM_RUNS
? Number(process.env.FC_NUM_RUNS)
: PROPERTY_NUM_RUNS;
/** Apply the shared deterministic config; call once at top of each property test file. */
export function configureProperties(): void {
fc.configureGlobal({ seed, numRuns });
}

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import fs from "node:fs";
import path from "node:path";
import { fileURLToPath } from "node:url";
const DIR = path.resolve(path.dirname(fileURLToPath(import.meta.url)), "../fixtures/translation");
export type TranslationCase = {
name: string;
sourceFormat: string;
targetFormat: string;
input: Record<string, unknown>;
expected?: unknown;
};
export type SseSequence = {
name: string;
chunks: string[];
expectedText: string;
};
export function loadTranslationFixtures(): TranslationCase[] {
return ["openai-to-claude", "claude-to-openai", "openai-to-gemini", "gemini-to-openai"].flatMap(
(f) => JSON.parse(fs.readFileSync(path.join(DIR, `${f}.json`), "utf8")) as TranslationCase[]
);
}
export function loadSseSequences(): SseSequence[] {
return JSON.parse(
fs.readFileSync(path.join(DIR, "sse-chunk-sequences.json"), "utf8")
) as SseSequence[];
}

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/**
* SSE-correctness integration tests (Task 11, Fase 8 B).
*
* Drives the real createSSEStream pipeline through a controllable fake upstream.
* Run with: node --import tsx/esm --test --test-concurrency=1 tests/integration/sse-correctness.test.ts
*
* Notes on observed createSSEStream behavior (calibrated invariants):
* - The TransformStream processes SSE events and emits translated chunks to the client.
* - [DONE] is consumed by the pipeline: it closes the upstream readable and the
* TransformStream flushes + terminates, but does NOT re-emit "data: [DONE]" to the output.
* The output stream closes naturally (reader.read() returns {done:true}).
* - Upstream errors propagate as TransformStream errors (reader.read() rejects).
* - Cancel propagates via ReadableStream cancel callback (pipeThrough wires it).
*/
import test from "node:test";
import assert from "node:assert/strict";
import { fakeUpstreamStream } from "../helpers/fakeUpstreamStream.ts";
import { createSSEStream } from "../../open-sse/utils/stream.ts";
import { FORMATS } from "../../open-sse/translator/formats.ts";
/** Drain a ReadableStream to a string, with optional timeout guard. */
async function drain(out: ReadableStream, timeoutMs = 5000): Promise<string> {
const r = out.getReader();
const dec = new TextDecoder();
let s = "";
const timeout = new Promise<never>((_, reject) =>
setTimeout(() => reject(new Error(`drain timeout after ${timeoutMs}ms`)), timeoutMs)
);
const read = async () => {
for (;;) {
const { done, value } = await r.read();
if (done) break;
s += dec.decode(value);
}
return s;
};
return Promise.race([read(), timeout]);
}
function makeStream(extraOpts: Record<string, unknown> = {}) {
const up = fakeUpstreamStream();
const transform = createSSEStream({
sourceFormat: FORMATS.OPENAI,
targetFormat: FORMATS.OPENAI,
model: "m",
...extraOpts,
});
const out = up.stream.pipeThrough(transform as TransformStream);
return { up, out };
}
test("1. stream closes after [DONE] (no hang)", async () => {
const { up, out } = makeStream();
up.push('data: {"choices":[{"delta":{"content":"hi"}}]}\n\n');
up.push("data: [DONE]\n\n");
up.close();
// drain() must return within the timeout — proves the stream closed
const text = await drain(out);
assert.ok(text.includes("hi"), `expected 'hi' in output: ${JSON.stringify(text)}`);
});
test("2. client cancel propagates to upstream (abort propagation)", async () => {
const { up, out } = makeStream();
let cancelled = false;
up.onCancel(() => {
cancelled = true;
});
const r = out.getReader();
await r.cancel("client-abort");
// Allow microtask queue to flush
await new Promise((res) => setTimeout(res, 50));
assert.equal(cancelled, true, "upstream cancel callback must have been called");
});
test("3. no leaked idle timers across N sequential streams", async () => {
// createSSEStream installs a setInterval idle watchdog per stream.
// If cleanup (clearInterval) does not run on stream close, timers accumulate.
// This test creates 10 streams and drains them; it acts as a smoke test that
// the process does not hang (a leaked setInterval that fires 10s later would
// prevent the test process from exiting cleanly in --test-force-exit mode).
for (let i = 0; i < 10; i++) {
const { up, out } = makeStream();
up.push("data: [DONE]\n\n");
up.close();
await drain(out);
}
// If we reach here without a timeout, no blocking resources were leaked.
assert.ok(true, "all 10 streams completed without hanging");
});
test("4. final snapshot does not duplicate tail text", async () => {
// Regression guard for the SSE snapshot bug (CLAUDE.md §2, Fase 8 B spec §4.2):
// the text 'Hello' should appear EXACTLY ONCE in the output, not duplicated.
const { up, out } = makeStream();
up.push('data: {"choices":[{"delta":{"content":"Hello"}}]}\n\n');
up.push("data: [DONE]\n\n");
up.close();
const text = await drain(out);
const occurrences = (text.match(/Hello/g) ?? []).length;
assert.equal(
occurrences,
1,
`'Hello' appeared ${occurrences} times; expected 1. Output: ${JSON.stringify(text)}`
);
});
test("5. upstream error propagates and closes stream (no hang, Hard Rule #6)", async () => {
// If upstream errors, the TransformStream must propagate the error so the
// consumer sees a rejection — never silently swallow and never hang.
const { up, out } = makeStream();
up.error(new Error("upstream boom"));
await assert.rejects(
async () => {
await drain(out, 2000);
},
undefined, // any error is acceptable — just must not hang
"upstream error must propagate as a rejection to the consumer"
);
});

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{
"max_tokens": 512,
"messages": [
{
"content": "Hello",
"role": "user"
}
],
"model": "gpt-4o",
"stream": true
}

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{
"max_tokens": 256,
"messages": [
{
"content": "Be helpful.",
"role": "system"
},
{
"content": "What is 1+1?",
"role": "user"
}
],
"model": "gpt-4o-mini",
"stream": true
}

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{
"messages": [
{
"content": "Hello from Gemini format!",
"role": "user"
}
],
"model": "gpt-4o",
"stream": true
}

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{
"messages": [
{
"content": "What is 2+2?",
"role": "user"
},
{
"content": "4",
"role": "assistant"
},
{
"content": "And 3+3?",
"role": "user"
}
],
"model": "gpt-4o-mini",
"stream": true
}

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{
"max_tokens": 32768,
"messages": [
{
"content": [
{
"text": "hi",
"type": "text"
}
],
"role": "user"
}
],
"model": "claude-opus-4-5",
"stream": true
}

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{
"max_tokens": 8192,
"messages": [
{
"content": [
{
"text": "What is 2+2?",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"text": "4",
"type": "text"
}
],
"role": "assistant"
},
{
"content": [
{
"text": "And 3+3?",
"type": "text"
}
],
"role": "user"
}
],
"model": "claude-haiku-4-5",
"stream": true
}

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{
"max_tokens": 1024,
"messages": [
{
"content": [
{
"text": "Hello!",
"type": "text"
}
],
"role": "user"
}
],
"model": "claude-sonnet-4-6",
"stream": true,
"system": [
{
"text": "You are a helpful assistant.",
"type": "text"
}
]
}

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{
"contents": [
{
"parts": [
{
"text": "Hello Gemini!"
}
],
"role": "user"
}
],
"generationConfig": {
"maxOutputTokens": 65536
},
"model": "gemini-2.5-flash",
"safetySettings": [
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"threshold": "OFF"
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"threshold": "OFF"
},
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"threshold": "OFF"
},
{
"category": "HARM_CATEGORY_HARASSMENT",
"threshold": "OFF"
},
{
"category": "HARM_CATEGORY_CIVIC_INTEGRITY",
"threshold": "OFF"
}
]
}

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{
"contents": [
{
"parts": [
{
"text": "Tell me a joke."
}
],
"role": "user"
}
],
"generationConfig": {
"maxOutputTokens": 8192,
"temperature": 0.7
},
"model": "gemini-2.5-pro",
"safetySettings": [
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"threshold": "OFF"
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"threshold": "OFF"
},
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"threshold": "OFF"
},
{
"category": "HARM_CATEGORY_HARASSMENT",
"threshold": "OFF"
},
{
"category": "HARM_CATEGORY_CIVIC_INTEGRITY",
"threshold": "OFF"
}
],
"systemInstruction": {
"parts": [
{
"text": "You are a helpful assistant."
}
],
"role": "system"
}
}

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import test from "node:test";
import assert from "node:assert/strict";
import fc from "fast-check";
import { configureProperties } from "../../helpers/propertyConfig.ts";
import { validateComboDAG, resolveNestedComboModels } from "../../../open-sse/services/combo.ts";
configureProperties();
// ComboLike shape: { name: string, models: unknown[] }
// normalizeModelEntry extracts .model (string) from each entry — plain strings work directly.
// "combo:X" notation is NOT used; the resolver checks if models[i] matches combo.name in allCombos.
test("validateComboDAG throws on self-cycle", () => {
// c0 references itself directly — must throw
const combos = [{ name: "c0", models: ["c0"] }];
assert.throws(() => validateComboDAG("c0", combos));
});
test("validateComboDAG throws on indirect cycle (a->b->a)", () => {
const combos = [
{ name: "a", models: ["b"] },
{ name: "b", models: ["a"] },
];
assert.throws(() => validateComboDAG("a", combos));
});
test("validateComboDAG does not throw on acyclic graph", () => {
const combos = [
{ name: "a", models: ["b", "openai/gpt-4o"] },
{ name: "b", models: ["anthropic/claude-3-5-sonnet"] },
];
assert.doesNotThrow(() => validateComboDAG("a", combos));
});
test("resolveNestedComboModels never throws and is cycle-safe", () => {
// Arbitrary combo graph: names c0..cN where each combo's models reference
// other combo names by their exact name string (no "combo:" prefix needed).
const graphArb = fc.integer({ min: 1, max: 5 }).chain((n) => {
const names = Array.from({ length: n }, (_, i) => `c${i}`);
const comboArr = names.map((name, i) => {
// Each combo references up to 2 other combos by name plus one real model
const refs = names.filter((_, j) => j !== i).slice(0, 2);
return { name, models: [...refs, "openai/gpt-4o"] };
});
return fc.constant(comboArr);
});
fc.assert(
fc.property(graphArb, (combos) => {
// resolveNestedComboModels must always return an array (never throw, never loop)
const out = resolveNestedComboModels(combos[0], combos);
assert.ok(Array.isArray(out), "must return array");
})
);
});
test("resolveNestedComboModels returns [] on direct cycle (cycle-safety)", () => {
// Cycle: c0->c1->c0
const combos = [
{ name: "c0", models: ["c1"] },
{ name: "c1", models: ["c0"] },
];
const out = resolveNestedComboModels(combos[0], combos);
// When a cycle is detected, the visited guard returns [] — no infinite loop
assert.ok(Array.isArray(out));
});

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import test from "node:test";
import assert from "node:assert/strict";
import { fakeUpstreamStream } from "../../helpers/fakeUpstreamStream.ts";
test("fakeUpstreamStream emits pushed chunks then closes", async () => {
const { stream, push, close } = fakeUpstreamStream();
push("a");
push("b");
close();
const reader = stream.getReader();
const dec = new TextDecoder();
let out = "";
for (;;) {
const { done, value } = await reader.read();
if (done) break;
out += dec.decode(value);
}
assert.equal(out, "ab");
});
test("fakeUpstreamStream signals cancel when consumer aborts", async () => {
const { stream, onCancel } = fakeUpstreamStream();
let cancelled = false;
onCancel(() => {
cancelled = true;
});
const reader = stream.getReader();
await reader.cancel("client-abort");
assert.equal(cancelled, true);
});
test("fakeUpstreamStream propagates error to reader", async () => {
const { stream, error } = fakeUpstreamStream();
error(new Error("upstream boom"));
const reader = stream.getReader();
await assert.rejects(async () => {
await reader.read();
}, /upstream boom/);
});

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import test from "node:test";
import assert from "node:assert/strict";
import { loadTranslationFixtures, loadSseSequences } from "../../helpers/translationFixtures.ts";
test("fixtures: each pair file has at least one well-formed case", () => {
const cases = loadTranslationFixtures();
assert.ok(cases.length >= 4);
for (const c of cases) {
assert.ok(c.name && c.sourceFormat && c.targetFormat && c.input);
}
});
test("fixtures: sse sequences have chunks and expectedText", () => {
const seqs = loadSseSequences();
assert.ok(seqs.length >= 1);
for (const s of seqs) {
assert.ok(Array.isArray(s.chunks) && typeof s.expectedText === "string");
}
});

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import test from "node:test";
import assert from "node:assert/strict";
import fs from "node:fs";
import os from "node:os";
import path from "node:path";
import { goldenSnapshot } from "../../helpers/goldenSnapshot.ts";
// Use an isolated tmpdir so the selftest does not pollute tests/snapshots/
let tmpDir: string;
test("goldenSnapshot writes on first run then matches", (t) => {
tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), "golden-selftest-"));
// First run: UPDATE_GOLDEN=1 → writes
process.env.UPDATE_GOLDEN = "1";
goldenSnapshot("selftest/sample", { b: 2, a: 1 }, tmpDir);
delete process.env.UPDATE_GOLDEN;
// Re-run without flag: same value (keys re-ordered) → should pass
assert.doesNotThrow(() => goldenSnapshot("selftest/sample", { a: 1, b: 2 }, tmpDir));
// Mismatch: different value → should throw
assert.throws(() => goldenSnapshot("selftest/sample", { a: 1, b: 3 }, tmpDir));
// Cleanup
fs.rmSync(tmpDir, { recursive: true, force: true });
});
test("goldenSnapshot first-run (no UPDATE_GOLDEN) writes and passes", () => {
const td = fs.mkdtempSync(path.join(os.tmpdir(), "golden-first-run-"));
try {
// File does not exist yet: should write and not throw
assert.doesNotThrow(() => goldenSnapshot("test/value", { x: 42 }, td));
// File now exists: same value should pass
assert.doesNotThrow(() => goldenSnapshot("test/value", { x: 42 }, td));
// File exists: different value should throw
assert.throws(() => goldenSnapshot("test/value", { x: 99 }, td));
} finally {
fs.rmSync(td, { recursive: true, force: true });
}
});

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import test from "node:test";
import assert from "node:assert/strict";
import fc from "fast-check";
import { configureProperties } from "../../helpers/propertyConfig.ts";
import { sanitizeErrorMessage } from "../../../open-sse/utils/error.ts";
configureProperties();
test("sanitizeErrorMessage never leaks a file path / stack frame", () => {
// sanitizeErrorMessage takes only the FIRST LINE of input (observed real behavior:
// it splits on \n and processes only the part before the first newline).
// Stack frames are on subsequent lines and thus already stripped.
// The invariant we test: single-line content containing "at /path/file.ts" has the
// absolute path replaced with "<path>", so the output never contains "at /".
const firstLineWithPath = fc
.string()
.map((s) => s.replace(/\n/g, " ")) // ensure single line
.chain((prefix) =>
fc
.string()
.map((s) => s.replace(/\n/g, " "))
.map((suffix) => `${prefix} at /home/app/open-sse/foo.ts:42:10 ${suffix}`)
);
fc.assert(
fc.property(firstLineWithPath, (input) => {
const out = sanitizeErrorMessage(input);
assert.ok(!out.includes("at /"), `leaked path in: ${JSON.stringify(out)}`);
})
);
});
test("sanitizeErrorMessage terminates on long adversarial input (ReDoS guard)", () => {
fc.assert(
fc.property(fc.integer({ min: 1000, max: 20000 }), (len) => {
const start = process.hrtime.bigint();
sanitizeErrorMessage("a".repeat(len) + "@" + "b".repeat(len) + ".com " + "1".repeat(len));
const ms = Number(process.hrtime.bigint() - start) / 1e6;
assert.ok(ms < 250, `too slow: ${ms}ms for len=${len}`);
})
);
});

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import test from "node:test";
import assert from "node:assert/strict";
import fc from "fast-check";
import { configureProperties } from "../../helpers/propertyConfig.ts";
import { parseSSELine } from "../../../open-sse/utils/streamHelpers.ts";
import { loadSseSequences } from "../../helpers/translationFixtures.ts";
configureProperties();
// parseSSELine is line-oriented: it processes one line at a time.
// The split-mid-line scenario (splitting in the middle of "data: {...}") belongs to
// the stream-layer harness (Task 11). Here we test line-level reconstruction invariance:
// given a complete SSE event line, parseSSELine extracts the correct content regardless
// of what other lines surround it.
function extractTextFromLines(rawContent: string): string {
let text = "";
for (const line of rawContent.split("\n")) {
const parsed = parseSSELine(line);
if (parsed && !(parsed as { done?: boolean }).done) {
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const delta = (parsed as any)?.choices?.[0]?.delta?.content;
if (typeof delta === "string") text += delta;
}
}
return text;
}
test("SSE text reconstruction is invariant to chunk boundaries (line-level)", () => {
const seqs = loadSseSequences();
// Property: joining all chunks and re-splitting by line yields the same text
// as processing the chunks individually. This tests that parseSSELine is stateless
// and position-invariant (no dependency on which "chunk" a line comes from).
fc.assert(
fc.property(fc.integer({ min: 0, max: seqs.length - 1 }), (idx) => {
const seq = seqs[idx];
const full = seq.chunks.join("");
const reconstructed = extractTextFromLines(full);
assert.equal(reconstructed, seq.expectedText);
})
);
});
test("parseSSELine returns null for non-data lines", () => {
// Non-data lines (comment, event:, id:, retry:, empty) must return null
const nonDataLines = ["", ": comment", "event: update", "id: 42", "retry: 5000"];
for (const line of nonDataLines) {
assert.equal(parseSSELine(line), null, `expected null for line: ${JSON.stringify(line)}`);
}
});
test("parseSSELine returns {done:true} for [DONE] sentinel", () => {
const parsed = parseSSELine("data: [DONE]");
assert.deepEqual(parsed, { done: true });
});
test("parseSSELine correctly parses valid JSON data line", () => {
const line = 'data: {"choices":[{"delta":{"content":"hello"}}]}';
const parsed = parseSSELine(line) as Record<string, unknown>;
assert.ok(parsed && typeof parsed === "object");
// eslint-disable-next-line @typescript-eslint/no-explicit-any
assert.equal((parsed as any)?.choices?.[0]?.delta?.content, "hello");
});

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import test from "node:test";
import { goldenSnapshot } from "../../helpers/goldenSnapshot.ts";
import { loadTranslationFixtures } from "../../helpers/translationFixtures.ts";
import { translateRequest } from "../../../open-sse/translator/index.ts";
// Golden-file tests: freeze translateRequest output per fixture.
// Regenerate with: UPDATE_GOLDEN=1 node --import tsx/esm --test tests/unit/correctness/translation.golden.test.ts
for (const c of loadTranslationFixtures()) {
test(`golden: ${c.name}`, () => {
const out = translateRequest(
c.sourceFormat,
c.targetFormat,
(c.input as { model?: string }).model ?? "m",
c.input,
true
);
goldenSnapshot(`translation/${c.name}`, out);
});
}

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import test from "node:test";
import assert from "node:assert/strict";
import fc from "fast-check";
import { configureProperties } from "../../helpers/propertyConfig.ts";
import { translateRequest } from "../../../open-sse/translator/index.ts";
import { FORMATS } from "../../../open-sse/translator/formats.ts";
configureProperties();
// Non-empty, non-whitespace content required: translator drops messages with empty/whitespace
// content (observed real behavior — empty-content messages produce invalid Claude/Gemini requests).
const messageArb = fc.record({
role: fc.constantFrom("user", "assistant", "system"),
content: fc.string({ minLength: 1 }).filter((s) => s.trim().length > 0),
});
const bodyArb = fc.record({
model: fc.string({ minLength: 1 }),
messages: fc.array(messageArb, { minLength: 1, maxLength: 6 }),
});
test("translateRequest openai->claude never throws and keeps messages", () => {
fc.assert(
fc.property(bodyArb, (body) => {
const out = translateRequest(
FORMATS.OPENAI,
FORMATS.CLAUDE,
body.model,
body,
true
) as Record<string, unknown>;
assert.ok(out && typeof out === "object");
// Either messages array is non-empty, or content went to system field (system-only body)
const hasMessages = Array.isArray(out.messages) && (out.messages as unknown[]).length > 0;
const hasSystem = Array.isArray(out.system) && (out.system as unknown[]).length > 0;
assert.ok(hasMessages || hasSystem, "output must have messages or non-empty system");
})
);
});
test("translateRequest round-trip openai->claude->openai preserves message count for well-formed input", () => {
// Generate bodies with properly alternating user/assistant roles (no consecutive same role),
// optionally preceded by a system message. This is the well-formed case where Claude's
// merge-consecutive-same-role normalization does NOT collapse messages.
// Invariant-calibration note: arbitrary bodies with consecutive same-role messages get merged
// by the OpenAI→Claude translator (correct behavior — Claude doesn't allow consecutive same-role).
// We test only the well-formed alternating case for an exact-count invariant.
const altBodyArb = fc.record({
model: fc.string({ minLength: 1 }),
messages: fc.integer({ min: 1, max: 5 }).chain((n) => {
// Build alternating user/assistant sequence, starting with user
const msgs = Array.from({ length: n }, (_, i) => ({
role: (i % 2 === 0 ? "user" : "assistant") as "user" | "assistant",
content: "msg" + i,
}));
return fc.constant(msgs);
}),
});
fc.assert(
fc.property(altBodyArb, (body) => {
const claude = translateRequest(
FORMATS.OPENAI,
FORMATS.CLAUDE,
body.model,
body,
true
) as Record<string, unknown>;
const back = translateRequest(
FORMATS.CLAUDE,
FORMATS.OPENAI,
body.model,
claude,
true
) as Record<string, unknown>;
assert.ok(Array.isArray(back.messages));
assert.equal((back.messages as unknown[]).length, body.messages.length);
})
);
});