Files
openclaw/src/auto-reply/reply.triggers.trigger-handling.targets-active-session-native-stop.e2e.test.ts
2026-02-17 14:32:18 +09:00

219 lines
6.5 KiB
TypeScript

import fs from "node:fs/promises";
import { join } from "node:path";
import { beforeAll, describe, expect, it } from "vitest";
import type { OpenClawConfig } from "../config/config.js";
import { loadSessionStore } from "../config/sessions.js";
import {
getAbortEmbeddedPiRunMock,
getRunEmbeddedPiAgentMock,
installTriggerHandlingE2eTestHooks,
MAIN_SESSION_KEY,
makeCfg,
withTempHome,
} from "./reply.triggers.trigger-handling.test-harness.js";
import { enqueueFollowupRun, getFollowupQueueDepth, type FollowupRun } from "./reply/queue.js";
let getReplyFromConfig: typeof import("./reply.js").getReplyFromConfig;
beforeAll(async () => {
({ getReplyFromConfig } = await import("./reply.js"));
});
installTriggerHandlingE2eTestHooks();
describe("trigger handling", () => {
it("targets the active session for native /stop", async () => {
await withTempHome(async (home) => {
const cfg = makeCfg(home);
const storePath = cfg.session?.store;
if (!storePath) {
throw new Error("missing session store path");
}
const targetSessionKey = "agent:main:telegram:group:123";
const targetSessionId = "session-target";
await fs.writeFile(
storePath,
JSON.stringify(
{
[targetSessionKey]: {
sessionId: targetSessionId,
updatedAt: Date.now(),
},
},
null,
2,
),
);
const followupRun: FollowupRun = {
prompt: "queued",
enqueuedAt: Date.now(),
run: {
agentId: "main",
agentDir: join(home, "agent"),
sessionId: targetSessionId,
sessionKey: targetSessionKey,
messageProvider: "telegram",
agentAccountId: "acct",
sessionFile: join(home, "session.jsonl"),
workspaceDir: join(home, "workspace"),
config: cfg,
provider: "anthropic",
model: "claude-opus-4-5",
timeoutMs: 1000,
blockReplyBreak: "text_end",
},
};
enqueueFollowupRun(
targetSessionKey,
followupRun,
{ mode: "collect", debounceMs: 0, cap: 20, dropPolicy: "summarize" },
"none",
);
expect(getFollowupQueueDepth(targetSessionKey)).toBe(1);
const res = await getReplyFromConfig(
{
Body: "/stop",
From: "telegram:111",
To: "telegram:111",
ChatType: "direct",
Provider: "telegram",
Surface: "telegram",
SessionKey: "telegram:slash:111",
CommandSource: "native",
CommandTargetSessionKey: targetSessionKey,
CommandAuthorized: true,
},
{},
cfg,
);
const text = Array.isArray(res) ? res[0]?.text : res?.text;
expect(text).toBe("⚙️ Agent was aborted.");
expect(getAbortEmbeddedPiRunMock()).toHaveBeenCalledWith(targetSessionId);
const store = loadSessionStore(storePath);
expect(store[targetSessionKey]?.abortedLastRun).toBe(true);
expect(getFollowupQueueDepth(targetSessionKey)).toBe(0);
});
});
it("applies native /model to the target session", async () => {
await withTempHome(async (home) => {
const cfg = makeCfg(home);
const storePath = cfg.session?.store;
if (!storePath) {
throw new Error("missing session store path");
}
const slashSessionKey = "telegram:slash:111";
const targetSessionKey = MAIN_SESSION_KEY;
// Seed the target session to ensure the native command mutates it.
await fs.writeFile(
storePath,
JSON.stringify(
{
[targetSessionKey]: {
sessionId: "session-target",
updatedAt: Date.now(),
},
},
null,
2,
),
);
const res = await getReplyFromConfig(
{
Body: "/model openai/gpt-4.1-mini",
From: "telegram:111",
To: "telegram:111",
ChatType: "direct",
Provider: "telegram",
Surface: "telegram",
SessionKey: slashSessionKey,
CommandSource: "native",
CommandTargetSessionKey: targetSessionKey,
CommandAuthorized: true,
},
{},
cfg,
);
const text = Array.isArray(res) ? res[0]?.text : res?.text;
expect(text).toContain("Model set to openai/gpt-4.1-mini");
const store = loadSessionStore(storePath);
expect(store[targetSessionKey]?.providerOverride).toBe("openai");
expect(store[targetSessionKey]?.modelOverride).toBe("gpt-4.1-mini");
expect(store[slashSessionKey]).toBeUndefined();
getRunEmbeddedPiAgentMock().mockResolvedValue({
payloads: [{ text: "ok" }],
meta: {
durationMs: 5,
agentMeta: { sessionId: "s", provider: "p", model: "m" },
},
});
await getReplyFromConfig(
{
Body: "hi",
From: "telegram:111",
To: "telegram:111",
ChatType: "direct",
Provider: "telegram",
Surface: "telegram",
},
{},
cfg,
);
expect(getRunEmbeddedPiAgentMock()).toHaveBeenCalledOnce();
expect(getRunEmbeddedPiAgentMock().mock.calls[0]?.[0]).toEqual(
expect.objectContaining({
provider: "openai",
model: "gpt-4.1-mini",
}),
);
});
});
it("uses the target agent model for native /status", async () => {
await withTempHome(async (home) => {
const cfg = {
agents: {
defaults: {
model: "anthropic/claude-opus-4-5",
workspace: join(home, "openclaw"),
},
list: [{ id: "coding", model: "minimax/MiniMax-M2.1" }],
},
channels: {
telegram: {
allowFrom: ["*"],
},
},
session: { store: join(home, "sessions.json") },
} as unknown as OpenClawConfig;
const res = await getReplyFromConfig(
{
Body: "/status",
From: "telegram:111",
To: "telegram:111",
ChatType: "group",
Provider: "telegram",
Surface: "telegram",
SessionKey: "telegram:slash:111",
CommandSource: "native",
CommandTargetSessionKey: "agent:coding:telegram:group:123",
CommandAuthorized: true,
},
{},
cfg,
);
const text = Array.isArray(res) ? res[0]?.text : res?.text;
expect(text).toContain("minimax/MiniMax-M2.1");
});
});
});