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import assert from "node:assert/strict";
import fs from "node:fs";
import os from "node:os";
import path from "node:path";
const TEST_DATA_DIR = fs.mkdtempSync(path.join(os.tmpdir(), "omniroute-active-stream-lifecycle-"));
process.env.DATA_DIR = TEST_DATA_DIR;
const core = await import("../../src/lib/db/core.ts");
const usageHistory = await import("../../src/lib/usage/usageHistory.ts");
const callLogs = await import("../../src/lib/usage/callLogs.ts");
test.after(() => {
core.resetDbInstance();
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
});
// βββ Helper: Simulates /api/logs/[id] API route logic ββββββββββββββββββββββ
//
// The production route uses 3-tier lookup:
// 1. DB (getCallLogById)
// 2. completedDetails in-memory cache (getCompletedDetails)
// 3. pendingById in-memory active requests (getPendingById)
//
// Each tier constructs the API response shape including pipelinePayloads.
function buildApiResponseFromPending(id: string): Record<string, unknown> | null {
const active = usageHistory.getPendingById().get(id);
if (!active) return null;
const pipelinePayloads: Record<string, unknown> = {
clientRequest: active.clientRequest ?? null,
providerRequest: active.providerRequest ?? null,
providerResponse: active.providerResponse ?? null,
clientResponse: active.clientResponse ?? null,
streamChunks: active.streamChunks ?? null,
};
return {
id: active.id,
timestamp: new Date(active.startedAt).toISOString(),
method: "",
path: active.clientEndpoint || "",
status: 0,
model: active.model,
provider: active.provider,
connectionId: active.connectionId,
duration: Date.now() - active.startedAt,
detailState: "in-flight",
active: true,
pipelinePayloads,
hasPipelineDetails: true,
};
}
function buildApiResponseFromCompleted(id: string): Record<string, unknown> | null {
const completed = usageHistory.getCompletedDetails();
const inMem = completed.get(id);
if (!inMem) return null;
const pipelinePayloads: Record<string, unknown> = {
clientRequest: inMem.clientRequest ?? null,
providerRequest: inMem.providerRequest ?? null,
providerResponse: inMem.providerResponse ?? null,
clientResponse: inMem.clientResponse ?? null,
streamChunks: inMem.streamChunks ?? null,
};
return {
id: inMem.id,
timestamp: new Date(inMem.startedAt).toISOString(),
path: inMem.clientEndpoint || "",
status: 0,
model: inMem.model,
provider: inMem.provider,
connectionId: inMem.connectionId,
duration: Date.now() - inMem.startedAt,
detailState: "in-memory",
active: false,
pipelinePayloads,
hasPipelineDetails: true,
};
}
// βββ Helper: Simulates frontend streamChunksText IIFE ββββββββββββββββββββββ
function computeStreamChunksText(
debugEnabled: boolean,
pipelinePayloads: Record<string, unknown> | null | undefined
): string | null {
if (!debugEnabled || !pipelinePayloads?.streamChunks) return null;
let chunks: unknown = pipelinePayloads.streamChunks;
if (typeof chunks === "string") {
try {
chunks = JSON.parse(chunks);
} catch {
return chunks;
}
}
if (chunks && typeof chunks === "object") {
try {
return Object.entries(chunks as Record<string, unknown>)
.map(([stage, arr]) => {
const joined = Array.isArray(arr) ? (arr as string[]).join("") : String(arr);
return `--- ${stage} ---\n${joined}`;
})
.join("\n\n");
} catch {
return JSON.stringify(chunks, null, 2);
}
}
return null;
}
// βββ Helper: Simulates frontend openDetail state merge βββββββββββββββββββββ
function mergeDetailData(
prev: Record<string, unknown> | null,
data: Record<string, unknown>
): Record<string, unknown> {
const dataHasPipeline =
data?.pipelinePayloads && Object.keys(data.pipelinePayloads || {}).length > 0;
return {
...prev,
...data,
pipelinePayloads: dataHasPipeline ? data.pipelinePayloads : prev?.pipelinePayloads,
};
}
// βββ Test: Full lifecycle ββββββββββββββββββββββββββββββββββββββββββββββββββ
test("streamChunks survive the full lifecycle: in-flight β completed β persisted", async () => {
usageHistory.clearPendingRequests();
const model = "gpt-4";
const provider = "openai";
const connectionId = "conn-lifecycle-1";
// ββ Phase 1: Track a pending request ββ
const requestId = usageHistory.trackPendingRequest(model, provider, connectionId, true, {
clientRequest: { messages: [{ role: "user", content: "hello" }] },
providerRequest: { model: "gpt-4" },
clientEndpoint: "/v1/chat/completions",
});
assert.ok(requestId, "trackPendingRequest should return a request ID");
assert.ok(
usageHistory.getPendingById().has(requestId),
"request ID should be in pendingById immediately"
);
// ββ Phase 2: Simulate streaming β chunks arrive gradually ββ
// Round 1: provider chunks
usageHistory.updatePendingRequestStreamChunks(model, provider, connectionId, {
provider: ['data: {"type":"message_start"}\n\n'],
openai: [],
client: [],
});
// Verify via pendingById (what the API reads)
const apiResponse1 = buildApiResponseFromPending(requestId);
assert.ok(apiResponse1, "API should find in-flight request");
assert.ok(apiResponse1!.pipelinePayloads, "should have pipelinePayloads");
assert.ok(
(apiResponse1!.pipelinePayloads as Record<string, unknown>).streamChunks,
"streamChunks should be present in API response"
);
// Simulate frontend streamChunksText
const text1 = computeStreamChunksText(
true,
apiResponse1!.pipelinePayloads as Record<string, unknown>
);
assert.ok(text1, "streamChunksText should be non-null with debugEnabled");
assert.ok(text1!.includes("message_start"), "streamChunksText should contain the chunk content");
// Verify frontend state merge
const initialDetail = mergeDetailData(null, apiResponse1 as unknown as Record<string, unknown>);
assert.ok(
(initialDetail.pipelinePayloads as Record<string, unknown>).streamChunks,
"streamChunks should survive the openDetail state merge"
);
const text1after = computeStreamChunksText(
true,
initialDetail.pipelinePayloads as Record<string, unknown>
);
assert.ok(text1after, "streamChunksText should work after state merge");
assert.ok(text1after!.includes("message_start"), "content preserved after state merge");
// Round 2: openai chunks arrive (simulating proxy relay)
usageHistory.updatePendingRequestStreamChunks(model, provider, connectionId, {
provider: ['data: {"type":"message_start"}\n\n'],
openai: ['data: {"choices":[{"delta":{"content":"Hello"}}]}\n\n'],
client: [],
});
// Round 3: client (converted) chunk arrives
usageHistory.updatePendingRequestStreamChunks(model, provider, connectionId, {
provider: ['data: {"type":"message_start"}\n\n'],
openai: ['data: {"choices":[{"delta":{"content":"Hello"}}]}\n\n'],
client: ['data: {"content":"Hello"}\n\n'],
});
// Verify API sees the latest (shows all stages now)
const apiResponse2 = buildApiResponseFromPending(requestId);
const streamChunks2 = (apiResponse2!.pipelinePayloads as Record<string, unknown>)
.streamChunks as Record<string, string[]>;
assert.equal(streamChunks2.provider.length, 1, "provider chunks: 1");
assert.equal(streamChunks2.openai.length, 1, "openai chunks: 1");
assert.equal(streamChunks2.client.length, 1, "client chunks: 1");
// Verify frontend text includes all 3 stages
const text2 = computeStreamChunksText(
true,
apiResponse2!.pipelinePayloads as Record<string, unknown>
);
assert.ok(text2!.includes("--- provider ---"), "should include provider stage");
assert.ok(text2!.includes("--- openai ---"), "should include openai stage");
assert.ok(text2!.includes("--- client ---"), "should include client stage");
// Verify debugEnabled=false hides the stream
const textHidden = computeStreamChunksText(
false,
apiResponse2!.pipelinePayloads as Record<string, unknown>
);
assert.equal(textHidden, null, "streamChunksText should be null when debugEnabled=false");
// Verify null pipelinePayloads hides the stream
const textNoPayload = computeStreamChunksText(true, null);
assert.equal(textNoPayload, null, "streamChunksText should be null without pipelinePayloads");
const textNoChunks = computeStreamChunksText(true, {});
assert.equal(textNoChunks, null, "streamChunksText should be null without streamChunks key");
// ββ Phase 3: Simulate request completion ββ
usageHistory.finalizeMostRecentPendingRequest(model, provider, connectionId, {
status: 200,
model,
provider,
clientResponse: { choices: [{ message: { content: "Hello" } }] },
});
// The request should be in completedDetails now
assert.ok(
!usageHistory.getPendingById().has(requestId),
"request should be removed from pendingById after finalization"
);
const completedResponse = buildApiResponseFromCompleted(requestId);
assert.ok(completedResponse, "API should find request in completedDetails");
assert.ok(
(completedResponse!.pipelinePayloads as Record<string, unknown>).streamChunks,
"streamChunks should be in completedDetails"
);
// Verify frontend can render from completed response
const completedText = computeStreamChunksText(
true,
completedResponse!.pipelinePayloads as Record<string, unknown>
);
assert.ok(completedText, "streamChunksText should work from completed data");
assert.ok(completedText!.includes("Hello"), "content preserved after completion");
// ββ Phase 4: Persist to DB (simulates saveCallLog) ββ
await callLogs.saveCallLog({
id: requestId,
method: "POST",
path: "/v1/chat/completions",
status: 200,
model,
requestedModel: model,
provider,
connectionId,
duration: 5000,
tokens: { in: 10, out: 20 },
requestBody: { messages: [{ role: "user", content: "hello" }] },
responseBody: { choices: [{ message: { content: "Hello" } }] },
error: null,
sourceFormat: "openai",
targetFormat: "openai",
comboName: null,
comboStepId: null,
comboExecutionKey: null,
tokensCompressed: null,
cacheSource: "upstream",
apiKeyId: null,
apiKeyName: null,
noLog: false,
pipelinePayloads: completedResponse!.pipelinePayloads as Record<string, unknown>,
});
// Verify DB has the entry
const dbEntry = await callLogs.getCallLogById(requestId);
assert.ok(dbEntry, "should find persisted call log by the same ID");
assert.ok(dbEntry.pipelinePayloads, "persisted entry should have pipelinePayloads");
// The pipelinePayloads in the DB may have been compacted/truncated.
// streamChunks may or may not be there depending on captureStreamChunks,
// but the ID must match so the API can find it.
assert.equal(
(dbEntry as Record<string, unknown>).id,
requestId,
"DB entry ID should match the original request ID"
);
});
test("streamChunksText renders progressive updates correctly", () => {
// Simulate the scenario where streamChunks grows between polls
// Poll 1: first chunk arrives
const payload1 = {
streamChunks: { provider: ['data: {"content":"A"}\n\n'], openai: [], client: [] },
};
const text1 = computeStreamChunksText(true, payload1);
assert.ok(text1, "poll 1 should produce text");
assert.ok(text1!.includes("A"), "poll 1 should show chunk A");
// Poll 2: second chunk appended
const payload2 = {
streamChunks: {
provider: ['data: {"content":"A"}\n\n', 'data: {"content":"B"}\n\n'],
openai: [],
client: [],
},
};
const text2 = computeStreamChunksText(true, payload2);
assert.ok(text2!.includes("A"), "poll 2 should still show chunk A");
assert.ok(text2!.includes("B"), "poll 2 should show newly arrived chunk B");
// The joined text should be the concatenation
assert.ok(
text2!.includes('data: {"content":"A"}\n\ndata: {"content":"B"}'),
"poll 2 joined text should contain both chunks"
);
});
test("pooling effect state merge preserves streamChunks across updates", () => {
// Simulate the polling useEffect state merge:
// setDetailData(prev => ({...prev, ...data, pipelinePayloads: data?.pipelinePayloads || prev?.pipelinePayloads}))
let detailData: Record<string, unknown> | null = null;
// openDetail initial fetch
const initialFetch = {
pipelinePayloads: {
streamChunks: { provider: ['data: {"a":1}\n\n'] },
providerRequest: { model: "gpt-4" },
},
active: true,
detailState: "in-flight",
};
detailData = mergeDetailData(null, initialFetch);
assert.ok(
(detailData!.pipelinePayloads as Record<string, unknown>).streamChunks,
"initial merge should preserve streamChunks"
);
// Poll response adds more chunks
const pollResponse = {
pipelinePayloads: {
streamChunks: {
provider: ['data: {"a":1}\n\n', 'data: {"b":2}\n\n'],
},
providerRequest: { model: "gpt-4" },
},
active: true,
detailState: "in-flight",
};
detailData = mergeDetailData(detailData, pollResponse);
const mergedChunks = (detailData!.pipelinePayloads as Record<string, unknown>)
.streamChunks as Record<string, string[]>;
assert.equal(mergedChunks.provider.length, 2, "merged should have 2 chunks");
assert.equal(mergedChunks.provider[1], 'data: {"b":2}\n\n', "merged should include new chunk");
// Simulate: polling response loses pipelinePayloads (null)
// This should NOT overwrite the existing streamChunks
const nullPayloadResponse = {
pipelinePayloads: null,
active: true,
detailState: "in-flight",
};
const afterNullPayload = mergeDetailData(detailData, nullPayloadResponse);
assert.ok(
(afterNullPayload.pipelinePayloads as Record<string, unknown>).streamChunks,
"streamChunks should survive null pipelinePayloads update"
);
// Simulate: polling response has pipelinePayloads but NO streamChunks
// This SHOULD overwrite (|| semantics) β but the production condition is: when
// data?.pipelinePayloads is truthy, it replaces prev. If captureStreamChunks was false,
// the data won't have streamChunks. This is expected behavior β the frontend doesn't
// try to retain old streamChunks when new data explicitly lacks them.
const noChunksPayloadResponse = {
pipelinePayloads: {
providerResponse: { status: 200 },
// no streamChunks key
},
active: false,
detailState: "ready",
};
const afterNoChunks = mergeDetailData(detailData, noChunksPayloadResponse);
const payloadAfter = afterNoChunks.pipelinePayloads as Record<string, unknown>;
assert.equal(
payloadAfter.streamChunks,
undefined,
"streamChunks is lost when new pipelinePayloads lacks it and is truthy"
);
// This demonstrates the || semantics: data.pipelinePayloads is truthy ({providerResponse: {...}})
// so it replaces prev.pipelinePayloads even though it lacks streamChunks.
// The Event Stream section will not render after this update.
// However, in practice this only happens after request completion when the polling
// transitions to the persisted artifact which may have truncated streamChunks.
// By that point the Event Stream section is no longer needed (streaming is done).
});
test("pendingById references are live: push mutates the shared arrays visible to API", () => {
usageHistory.clearPendingRequests();
const model = "gpt-4";
const provider = "openai";
const connectionId = "conn-ref-1";
const requestId = usageHistory.trackPendingRequest(model, provider, connectionId, true);
// Simulate push() β store initial empty arrays
usageHistory.updatePendingRequestStreamChunks(model, provider, connectionId, {
provider: [],
openai: [],
client: [],
});
// Get the pending detail reference
const detailFromPending = usageHistory.getPendingById().get(requestId);
assert.ok(detailFromPending, "detail should be in pendingById");
assert.ok(detailFromPending!.streamChunks, "streamChunks should be set to wrapper object");
// Simulate appendBoundedChunk β pushes to the shared array
detailFromPending!.streamChunks!.provider.push('data: {"chunk":"live"}');
// Re-read from pendingById β should see the mutation
const detailReRead = usageHistory.getPendingById().get(requestId);
assert.equal(
detailReRead!.streamChunks!.provider.length,
1,
"mutation should be visible through pendingById"
);
assert.equal(
detailReRead!.streamChunks!.provider[0],
'data: {"chunk":"live"}',
"mutated content should be visible through pendingById"
);
// Verify via simulated API response
const apiResp = buildApiResponseFromPending(requestId);
const apiChunks = (apiResp!.pipelinePayloads as Record<string, unknown>).streamChunks as Record<
string,
string[]
>;
assert.equal(apiChunks.provider.length, 1, "API should see the live mutation");
});
test("no connectionId in request logger does not break anything", async () => {
const { createRequestLogger } = await import("../../open-sse/utils/requestLogger.ts");
usageHistory.clearPendingRequests();
usageHistory.trackPendingRequest("gpt-4", "openai", "conn-noop-1", true);
// Logger without connectionId/model β push() bails, no crash
const logger = await createRequestLogger("openai", "openai", "gpt-4", {
enabled: true,
captureStreamChunks: true,
});
logger.appendProviderChunk('data: {"a":1}');
logger.appendOpenAIChunk('data: {"b":2}');
logger.appendConvertedChunk('data: {"c":3}');
// The pending detail should NOT have streamChunks (no connectionId match)
const pending = usageHistory.getPendingRequests();
const detail = pending.details["conn-noop-1"]?.["gpt-4 (openai)"]?.[0];
assert.equal(detail.streamChunks, undefined, "streamChunks should not be set");
// Simulated API should return null for streamChunks
const apiResp = buildApiResponseFromPending(
// We need the actual ID. trackPendingRequest returns it now.
(() => {
usageHistory.clearPendingRequests();
const id = usageHistory.trackPendingRequest("gpt-4", "openai", "conn-noop-2", true);
return id!;
})()
);
// This request had no streaming, so streamChunks is null
if (apiResp) {
const noChunks = computeStreamChunksText(
true,
apiResp.pipelinePayloads as Record<string, unknown>
);
assert.equal(noChunks, null, "no streamChunks means no event stream");
}
});
test("createRequestLogger and trackPendingRequest with matching model propagate streamChunks", async () => {
// The fix: chatCore.ts now passes `model` (not `effectiveModel`) to
// createRequestLogger, so the modelKey matches what trackPendingRequest uses.
const { createRequestLogger } = await import("../../open-sse/utils/requestLogger.ts");
usageHistory.clearPendingRequests();
const model = "gpt-4";
const provider = "openai";
const connectionId = "conn-match-1";
const requestId = usageHistory.trackPendingRequest(model, provider, connectionId, true, {
clientRequest: { messages: [] },
});
// Use matching model (the fix)
const logger = await createRequestLogger("openai", "openai", model, {
enabled: true,
captureStreamChunks: true,
model,
provider,
connectionId,
});
logger.appendProviderChunk('data: {"chunk":"hello"}');
logger.appendOpenAIChunk('data: {"choices":[{"delta":{"content":"hi"}}]}');
logger.appendConvertedChunk('data: {"content":"world"}');
const detail = usageHistory.getPendingById().get(requestId);
assert.ok(detail, "pending detail should exist");
assert.ok(detail!.streamChunks, "streamChunks should be set");
assert.equal(detail!.streamChunks!.provider.length, 1);
assert.equal(detail!.streamChunks!.openai.length, 1);
assert.equal(detail!.streamChunks!.client.length, 1);
const apiResp = buildApiResponseFromPending(requestId!);
assert.ok(apiResp);
const apiChunks = (apiResp!.pipelinePayloads as Record<string, unknown>).streamChunks as Record<
string,
string[]
>;
assert.equal(apiChunks?.provider[0], 'data: {"chunk":"hello"}');
});
test("finalizePendingRequestById completes the exact stream when same model requests overlap", () => {
usageHistory.clearPendingRequests();
const model = "gpt-4";
const provider = "openai";
const connectionId = "conn-overlap-1";
const firstId = usageHistory.trackPendingRequest(model, provider, connectionId, true, {
clientRequest: { messages: [{ role: "user", content: "first" }] },
});
const secondId = usageHistory.trackPendingRequest(model, provider, connectionId, true, {
clientRequest: { messages: [{ role: "user", content: "second" }] },
});
const completed = usageHistory.finalizePendingRequestById(firstId, {
providerResponse: { id: "first-response" },
clientResponse: { id: "first-response" },
});
assert.equal(completed, true);
assert.ok(usageHistory.getCompletedDetails().has(firstId));
assert.equal(usageHistory.getCompletedDetails().has(secondId), false);
assert.equal(usageHistory.getPendingById().has(firstId), false);
assert.equal(usageHistory.getPendingById().has(secondId), true);
const pending = usageHistory.getPendingRequests();
const details = pending.details[connectionId]?.[`${model} (${provider})`] ?? [];
assert.equal(details.length, 1);
assert.equal(details[0].id, secondId);
assert.equal(pending.byModel[`${model} (${provider})`], 1);
assert.equal(pending.byAccount[connectionId]?.[`${model} (${provider})`], 1);
});
test("completedDetails cache evicts oldest entries when bounded", () => {
usageHistory.clearPendingRequests();
const model = "gpt-4";
const provider = "openai";
const connectionId = "conn-completed-bound";
const ids: string[] = [];
for (let i = 0; i < 260; i++) {
const id = usageHistory.trackPendingRequest(model, provider, connectionId, true);
ids.push(id!);
const completed = usageHistory.finalizePendingRequestById(id, {
clientResponse: { choices: [{ message: { content: `done ${i}` } }] },
});
assert.equal(completed, true);
}
assert.ok(
usageHistory.getCompletedDetails().size <= 256,
"completedDetails should remain bounded"
);
assert.equal(usageHistory.getCompletedDetails().has(ids[0]), false);
assert.equal(usageHistory.getCompletedDetails().has(ids[ids.length - 1]), true);
});
test("streamChunks in completedDetails survives beyond the logs polling window", async () => {
usageHistory.clearPendingRequests();
const model = "gpt-4";
const provider = "openai";
const connectionId = "conn-ttl-1";
const requestId = usageHistory.trackPendingRequest(model, provider, connectionId, true, {
clientRequest: { messages: [] },
});
// Simulate streaming then completion
usageHistory.updatePendingRequestStreamChunks(model, provider, connectionId, {
provider: ['data: {"chunk":"final"}\n\n'],
openai: [],
client: [],
});
usageHistory.finalizeMostRecentPendingRequest(model, provider, connectionId, {
status: 200,
model,
provider,
});
// Should be in completedDetails
assert.ok(
usageHistory.getCompletedDetails().has(requestId),
"should be in completedDetails after finalization"
);
const completedResp = buildApiResponseFromCompleted(requestId);
assert.ok(completedResp, "API response should be available from completedDetails");
assert.ok(
(completedResp!.pipelinePayloads as Record<string, unknown>).streamChunks,
"streamChunks should be in completedDetails"
);
// Save to DB as the normal durable path, but keep the completedDetails cache
// long enough that a slow Logs-page poll does not see the row disappear
// between pending removal and DB/detail refresh.
await callLogs.saveCallLog({
id: requestId,
method: "POST",
path: "/v1/chat/completions",
status: 200,
model,
requestedModel: model,
provider,
connectionId,
duration: 3000,
tokens: { in: 5, out: 10 },
requestBody: {},
responseBody: {},
error: null,
sourceFormat: "openai",
targetFormat: "openai",
comboName: null,
comboStepId: null,
comboExecutionKey: null,
tokensCompressed: null,
cacheSource: "upstream",
apiKeyId: null,
apiKeyName: null,
noLog: false,
pipelinePayloads: completedResp!.pipelinePayloads as Record<string, unknown>,
});
// Verify DB has it
const dbEntry1 = await callLogs.getCallLogById(requestId);
assert.ok(dbEntry1, "DB should have the entry after saveCallLog");
// This used to expire after 5 seconds. Keep it visible beyond that window so
// a slow client poll can still resolve the completed row/details.
await new Promise((r) => setTimeout(r, 5100));
assert.ok(
usageHistory.getCompletedDetails().has(requestId),
"completedDetails should still be available after a 5-second polling gap"
);
const dbEntry2 = await callLogs.getCallLogById(requestId);
assert.ok(dbEntry2, "DB should still have the entry after the polling gap");
assert.equal(
(dbEntry2 as Record<string, unknown>).id,
requestId,
"DB entry ID should match the original request ID"
);
});
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