ZacharyZhang-NY
07d0b4587d
The legacy application - its src, tests, landing site, promo assets, docs, release tooling, CI workflows, and root configs - leaves the tree; it stays reachable in history. Everything under AgentCompany-New moves up unchanged: same package name, so the production userData/database path is untouched, and e2e/build scripts already resolved paths relative to the project. The developer cred.txt stays gitignored at its new location. Full verify:ci passes from the new root.
64 lines
3.1 KiB
TypeScript
64 lines
3.1 KiB
TypeScript
import { randomUUID } from "node:crypto";
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import { tmpdir } from "node:os";
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import { join } from "node:path";
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import { describe, expect, test } from "vitest";
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import { DatabaseConnection } from "../../src/main/database/connection";
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import { OrganizationService } from "../../src/main/services/organization-service";
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import { ChatService } from "../../src/main/services/chat-service";
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import { dispatchAgentTool, type AgentToolContext } from "../../src/main/services/agent-tools";
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function call(name: string, args: Record<string, unknown>) {
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return { id: `call_${randomUUID()}`, name, arguments: args };
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}
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describe("thread participant wake", () => {
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test("human reply in a thread wakes agent participants without explicit @mention", () => {
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const connection = new DatabaseConnection(join(tmpdir(), `ac-threadwake-${randomUUID()}.db`));
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const organization = new OrganizationService(connection.db);
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let orgId = "";
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let ceoId = "";
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let employeeId = "";
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let providerId = "";
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connection.transaction(() => {
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orgId = organization.createOrganization({ organizationName: "WakeCorp", employeeName: "Yang", mission: "m", goal: "g" });
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providerId = (connection.db.prepare("select id from providers where org_id = ? and provider_key = 'openai'").get(orgId) as { id: string }).id;
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connection.db.prepare("update providers set enabled = 1 where id = ?").run(providerId);
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ceoId = organization.createAgent({
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orgId, name: "CEO", role: "CEO", department: "Executive",
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modelProviderId: providerId, modelId: "gpt-5.4", budgetCents: 25000, managerAgentId: null,
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});
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employeeId = (connection.db.prepare("select id from employees where org_id = ?").get(orgId) as { id: string }).id;
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});
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const chat = new ChatService(connection.db);
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const deps = { db: connection.db, organization, chat };
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const ctx: AgentToolContext = {
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orgId, agent: { id: ceoId, modelProviderId: providerId, modelId: "gpt-5.4" },
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taskProjectId: null, taskGoalId: null, workspace: null,
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};
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const firstResult = dispatchAgentTool(deps, ctx, call("send_message", { channel: "general", body: "The plan is ready for review." }));
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const threadId = /thread_id="([^"]+)"/.exec(firstResult)?.[1];
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expect(threadId).toBeTruthy();
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const runsBeforeReply = connection.db.prepare("select count(*) as c from task_runs where org_id = ? and trigger = 'chat_mention'")
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.get(orgId) as { c: number };
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connection.transaction(() => {
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chat.sendMessage({
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orgId,
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spaceId: (connection.db.prepare("select id from chat_spaces where org_id = ? and name = 'general'").get(orgId) as { id: string }).id,
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threadId: threadId!,
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senderType: "employee",
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senderId: employeeId,
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bodyMd: "Looks good, please proceed with the deployment.",
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attachmentFileIds: [],
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});
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});
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const runsAfterReply = connection.db.prepare("select count(*) as c from task_runs where org_id = ? and trigger = 'chat_mention'")
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.get(orgId) as { c: number };
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expect(runsAfterReply.c).toBeGreaterThan(runsBeforeReply.c);
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});
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});
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