mirror of
https://github.com/murashit/codex-panel.git
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265 lines
11 KiB
TypeScript
265 lines
11 KiB
TypeScript
import { describe, expect, it, vi } from "vitest";
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import { createServerDiagnostics, diagnosticProbeError, diagnosticProbeOk } from "../../src/domain/server/diagnostics";
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import { AppServerQueryCache } from "../../src/app-server/query/cache";
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import type { AppServerQueryContext } from "../../src/app-server/query/keys";
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import { emptyRuntimeConfigSnapshot, type RuntimeConfigSnapshot } from "../../src/app-server/protocol/runtime-config";
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import type { RateLimitSnapshot } from "../../src/app-server/protocol/runtime-metrics";
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import type { SharedServerMetadata } from "../../src/app-server/query/snapshots";
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import type { ModelMetadata, SkillMetadata } from "../../src/domain/catalog/metadata";
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describe("AppServerQueryCache", () => {
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it("updates successful metadata resources while preserving failed resource cache values", () => {
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const cache = new AppServerQueryCache();
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const context = cacheContext();
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const goodMetadata = metadata({
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availableSkills: [skillMetadata("writer")],
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rateLimit: rateLimit(42),
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});
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cache.setAppServerMetadata(context, goodMetadata);
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expect(cache.appServerMetadataSnapshot(context)?.availableModels.map((model) => model.model)).toEqual(["gpt-5.5"]);
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cache.setAppServerMetadata(
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context,
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metadata({
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availableModels: [modelMetadata("gpt-5.6")],
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availableSkills: [skillMetadata("stale-skill")],
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rateLimit: rateLimit(90),
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skillsProbeStatus: "failed",
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rateLimitProbeStatus: "failed",
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}),
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);
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expect(cache.appServerMetadataSnapshot(context)?.availableModels.map((model) => model.model)).toEqual(["gpt-5.6"]);
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expect(cache.appServerMetadataSnapshot(context)?.availableSkills.map((skill) => skill.name)).toEqual(["writer"]);
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expect(cache.appServerMetadataSnapshot(context)?.rateLimit?.primary?.usedPercent).toBe(42);
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expect(cache.appServerMetadataSnapshot(context)?.serverDiagnostics.probes["skills/list"].status).toBe("failed");
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expect(cache.appServerMetadataSnapshot(context)?.serverDiagnostics.probes["account/rateLimits/read"].status).toBe("failed");
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cache.setAppServerMetadata(context, metadata({ availableModels: [], modelProbeStatus: "failed" }));
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expect(cache.appServerMetadataSnapshot(context)?.availableModels.map((model) => model.model)).toEqual(["gpt-5.6"]);
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expect(cache.appServerMetadataSnapshot(context)?.serverDiagnostics.probes["model/list"].status).toBe("failed");
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});
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it("loads initial metadata snapshots without caching failed resource values", () => {
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const cache = new AppServerQueryCache();
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const context = cacheContext();
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cache.setAppServerMetadata(
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context,
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metadata({
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availableModels: [modelMetadata("failed-model")],
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availableSkills: [skillMetadata("writer")],
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rateLimit: rateLimit(90),
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modelProbeStatus: "failed",
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rateLimitProbeStatus: "failed",
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}),
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);
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const cached = cache.appServerMetadataSnapshot(context);
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expect(cached?.runtimeConfig).not.toBeNull();
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expect(cached?.serverDiagnostics.probes["model/list"].status).toBe("failed");
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expect(cached?.availableModels).toEqual([]);
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expect(cached?.availableSkills.map((skill) => skill.name)).toEqual(["writer"]);
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expect(cached?.rateLimit).toBeNull();
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expect(cache.modelsSnapshot(context)).toBeNull();
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});
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it("does not share or store snapshots before the cache context is complete", async () => {
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const cache = new AppServerQueryCache();
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const context = cacheContext({ codexPath: "" });
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const firstRefresh = deferred<readonly ReturnType<typeof thread>[]>();
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const firstFetch = vi.fn(() => firstRefresh.promise);
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const secondFetch = vi.fn().mockResolvedValue([thread("second")]);
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const firstPromise = cache.fetchActiveThreads(context, firstFetch);
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await expect(cache.fetchActiveThreads(context, secondFetch)).resolves.toEqual([thread("second")]);
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firstRefresh.resolve([thread("first")]);
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await expect(firstPromise).resolves.toEqual([thread("first")]);
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cache.setActiveThreads(context, [thread("applied")]);
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cache.setAppServerMetadata(context, metadata());
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cache.setModels(context, [modelMetadata("gpt-5.6")]);
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expect(firstFetch).toHaveBeenCalledOnce();
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expect(secondFetch).toHaveBeenCalledOnce();
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expect(cache.activeThreadsSnapshot(context)).toBeNull();
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expect(cache.appServerMetadataSnapshot(context)).toBeNull();
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expect(cache.modelsSnapshot(context)).toBeNull();
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});
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it("stores successful empty model snapshots as shared cache truth", () => {
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const cache = new AppServerQueryCache();
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const context = cacheContext();
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cache.setModels(context, [modelMetadata("gpt-5.5")]);
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cache.setModels(context, []);
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expect(cache.modelsSnapshot(context)).toEqual([]);
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cache.setAppServerMetadata(context, metadata({ availableModels: [modelMetadata("gpt-5.6")] }));
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cache.setAppServerMetadata(context, metadata({ availableModels: [] }));
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expect(cache.appServerMetadataSnapshot(context)?.availableModels).toEqual([]);
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expect(cache.modelsSnapshot(context)).toEqual([]);
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});
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it("does not reuse metadata or model snapshots across app-server cache contexts", () => {
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const cache = new AppServerQueryCache();
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const context = cacheContext();
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cache.setAppServerMetadata(context, metadata());
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cache.setModels(context, [modelMetadata("gpt-5.6")]);
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expect(cache.appServerMetadataSnapshot(cacheContext({ vaultPath: "/other-vault" }))).toBeNull();
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expect(cache.appServerMetadataSnapshot(cacheContext({ codexPath: "/opt/codex" }))).toBeNull();
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expect(cache.modelsSnapshot(cacheContext({ vaultPath: "/other-vault" }))).toBeNull();
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expect(cache.modelsSnapshot(cacheContext({ codexPath: "/opt/codex" }))).toBeNull();
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});
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it("stores successful empty thread list snapshots as shared cache truth", async () => {
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const cache = new AppServerQueryCache();
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const context = cacheContext();
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cache.setActiveThreads(context, [thread("cached")]);
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cache.setActiveThreads(context, []);
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expect(cache.activeThreadsSnapshot(context)).toEqual([]);
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await expect(cache.fetchActiveThreads(context, () => Promise.resolve([]))).resolves.toEqual([]);
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expect(cache.activeThreadsSnapshot(context)).toEqual([]);
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});
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it("keys thread list refresh snapshots by app-server query context", async () => {
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const cache = new AppServerQueryCache();
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const oldContext = cacheContext({ codexPath: "codex-old" });
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const newContext = cacheContext({ codexPath: "codex-new" });
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const oldRefresh = deferred<readonly ReturnType<typeof thread>[]>();
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const newRefresh = deferred<readonly ReturnType<typeof thread>[]>();
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const oldPromise = cache.fetchActiveThreads(oldContext, () => oldRefresh.promise);
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const newPromise = cache.fetchActiveThreads(newContext, () => newRefresh.promise);
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oldRefresh.resolve([thread("old-thread")]);
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await expect(oldPromise).resolves.toEqual([thread("old-thread")]);
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expect(cache.activeThreadsSnapshot(oldContext)?.map((item) => item.id)).toEqual(["old-thread"]);
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newRefresh.resolve([thread("new-thread")]);
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await expect(newPromise).resolves.toEqual([thread("new-thread")]);
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expect(cache.activeThreadsSnapshot(newContext)?.map((item) => item.id)).toEqual(["new-thread"]);
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expect(cache.activeThreadsSnapshot(oldContext)?.map((item) => item.id)).toEqual(["old-thread"]);
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});
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it("stores in-flight thread list refreshes under the captured app-server cache context", async () => {
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const cache = new AppServerQueryCache();
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const context = cacheContext({ codexPath: "codex-captured" });
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const capturedContext = { ...context };
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const refresh = deferred<readonly ReturnType<typeof thread>[]>();
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const promise = cache.fetchActiveThreads(context, () => refresh.promise);
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context.codexPath = "codex-mutated";
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refresh.resolve([thread("captured")]);
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await expect(promise).resolves.toEqual([thread("captured")]);
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expect(cache.activeThreadsSnapshot(capturedContext)?.map((item) => item.id)).toEqual(["captured"]);
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expect(cache.activeThreadsSnapshot(context)).toBeNull();
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});
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});
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function cacheContext(overrides: Partial<AppServerQueryContext> = {}): AppServerQueryContext {
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return {
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codexPath: "codex",
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vaultPath: "/vault",
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...overrides,
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};
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}
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function metadata(
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overrides: {
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availableModels?: readonly ModelMetadata[];
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availableSkills?: readonly SkillMetadata[];
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rateLimit?: RateLimitSnapshot | null;
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runtimeConfig?: RuntimeConfigSnapshot | null;
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modelProbeStatus?: "ok" | "failed";
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skillsProbeStatus?: "ok" | "failed";
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rateLimitProbeStatus?: "ok" | "failed";
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} = {},
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): SharedServerMetadata {
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const diagnostics = createServerDiagnostics();
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diagnostics.probes["model/list"] =
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overrides.modelProbeStatus === "failed"
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? diagnosticProbeError("model/list", new Error("offline"))
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: diagnosticProbeOk("model/list", "1 models");
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diagnostics.probes["skills/list"] =
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overrides.skillsProbeStatus === "failed"
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? diagnosticProbeError("skills/list", new Error("offline"))
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: diagnosticProbeOk("skills/list", "0 skills");
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diagnostics.probes["account/rateLimits/read"] =
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overrides.rateLimitProbeStatus === "failed"
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? diagnosticProbeError("account/rateLimits/read", new Error("offline"))
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: diagnosticProbeOk("account/rateLimits/read", "available");
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return {
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runtimeConfig: overrides.runtimeConfig ?? emptyRuntimeConfigSnapshot(),
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availableModels: overrides.availableModels ?? [modelMetadata("gpt-5.5")],
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availableSkills: overrides.availableSkills ?? [],
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rateLimit: overrides.rateLimit ?? null,
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serverDiagnostics: diagnostics,
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};
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}
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function skillMetadata(name: string): SkillMetadata {
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return { name, description: "", path: `/tmp/${name}`, enabled: true };
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}
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function rateLimit(usedPercent: number): RateLimitSnapshot {
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return {
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limitId: "codex",
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limitName: "Codex",
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primary: { usedPercent, windowDurationMins: 300, resetsAt: 1 },
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secondary: null,
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individualLimit: null,
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rateLimitReachedType: null,
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};
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}
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function modelMetadata(model: string): ModelMetadata {
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return {
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id: model,
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model,
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displayName: model,
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description: "",
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hidden: false,
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supportedReasoningEfforts: [],
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defaultReasoningEffort: "medium",
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inputModalities: [],
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additionalSpeedTiers: [],
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serviceTiers: [],
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defaultServiceTier: null,
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isDefault: false,
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};
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}
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function thread(id: string) {
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return {
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id,
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preview: "",
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name: null,
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archived: false,
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createdAt: 1,
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updatedAt: 1,
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};
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}
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interface Deferred<T> {
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promise: Promise<T>;
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resolve: (value: T) => void;
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}
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function deferred<T>(): Deferred<T> {
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let resolve: (value: T) => void = () => undefined;
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const promise = new Promise<T>((settle) => {
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resolve = settle;
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});
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return { promise, resolve };
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}
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