These columns and the messages that plumbed them existed for the CLI-
adapter era — Gemini's resume id and provider-specific session params
rode the run-finished envelope back onto the session row so the next
turn could resume. Pi Mono dispatches every provider through pi-ai and
emits neither value. The worker has been posting literal null on every
finish, finalizeRun has been writing null into task_sessions, and
rotateSession has been carrying null forward.
Remove the wire, the writer, the carry-forward, and the columns:
- v43 migration rebuilds task_sessions without session_params_json /
session_display_id, and runs without session_display_id. Follows
the idempotent "create new, copy, swap, reindex" pattern used by
v41. context_snapshot_json is preserved (also unreferenced today
but outside this cleanup's scope).
- RunJob / EnqueueRunPayload / ChildMessage / worker-types zod
schema no longer carry the fields. finishRun() / createNewSession()
signatures tighten in lockstep.
- rotateSession starts the new session with fresh counters and no
carry-forward.
- turn-context resolveSession returns just the session id.
- TaskSessionRecord / RunRecord lose the dead fields.
498/498 unit tests pass. typecheck + build clean.
258 lines
6.9 KiB
TypeScript
258 lines
6.9 KiB
TypeScript
import { mkdtemp, rm } from "node:fs/promises";
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import { join } from "node:path";
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import { tmpdir } from "node:os";
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import { afterEach, beforeAll, describe, expect, it, vi } from "vitest";
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beforeAll(() => {
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process.env.AGENTCOMPANY_ALLOW_INSECURE_VAULT = "true";
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});
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vi.mock("electron", () => ({
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safeStorage: {
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isEncryptionAvailable: () => false,
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getSelectedStorageBackend: () => "basic_text",
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encryptString: (value: string) => Buffer.from(value, "utf8"),
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decryptString: (value: Buffer) => value.toString("utf8"),
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},
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}));
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import { AppDatabase } from "../../src/main/database";
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const tempDirs: string[] = [];
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async function createTempDir(prefix: string) {
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const dir = await mkdtemp(join(tmpdir(), prefix));
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tempDirs.push(dir);
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return dir;
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}
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afterEach(async () => {
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await Promise.all(tempDirs.splice(0).map((dir) => rm(dir, { recursive: true, force: true })));
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});
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describe("AppDatabase", () => {
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it("persists core entities, secrets, run logs, and backup restore state", async () => {
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const profileDir = await createTempDir("agentcompany-profile-");
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const backupDir = await createTempDir("agentcompany-backup-");
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const db = new AppDatabase(profileDir);
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db.init();
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const companyId = db.saveCompany({
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name: "Orbit Foundry",
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description: "Test company",
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status: "active",
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});
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const workspaceId = db.saveWorkspace({
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companyId,
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name: "Primary",
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localPath: profileDir,
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repoUrl: "https://example.com/repo.git",
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repoRef: "main",
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isPrimary: true,
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});
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const agentId = db.saveAgent({
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companyId,
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name: "Helios",
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role: "CEO",
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title: "Lead agent",
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status: "active",
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reportsTo: null,
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connectorId: "openai-codex",
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workspaceId,
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model: null,
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capabilities: "Operate the company",
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budgetMonthlyUsd: 200,
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});
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const goalId = db.saveGoal({
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companyId,
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title: "Ship the desktop app",
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description: "Reach packaged desktop parity.",
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ownerAgentId: agentId,
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status: "active",
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});
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const projectId = db.saveProject({
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companyId,
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goalId,
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name: "Desktop rebuild",
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description: "Rebuild as Electron desktop app.",
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leadAgentId: agentId,
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status: "in_progress",
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});
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const taskId = db.saveTask({
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companyId,
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projectId,
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goalId,
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title: "Validate connector state",
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description: "Run a health check and capture output.",
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assigneeAgentId: agentId,
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workspaceId,
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priority: "high",
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status: "todo",
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});
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db.saveSecret({
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companyId,
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name: "vault-openai",
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description: "Test key",
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value: "sk-test-123",
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});
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db.saveConnector({
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id: "openai-codex",
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model: null,
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envBindingText: "OPENAI_API_KEY=vault-openai",
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notes: "Connector note",
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});
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expect(db.resolveSecretEnv("OPENAI_API_KEY=vault-openai", companyId)).toEqual({
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OPENAI_API_KEY: "sk-test-123",
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});
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const run = db.createRun({
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companyId,
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taskId,
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agentId,
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workspaceId,
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connectorId: "openai-codex",
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});
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await db.appendRunLog(run.id, "stdout", "hello from run\n");
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expect(db.readRunLog(run.id)).toContain("hello from run");
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db.markRunStatus(run.id, "running", "Connector launched");
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db.finishRun({
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runId: run.id,
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status: "succeeded",
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summary: "Completed successfully",
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errorMessage: null,
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exitCode: 0,
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signal: null,
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model: "gpt-5-codex",
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unattributedCost: false,
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});
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const snapshotBeforeBackup = db.listSnapshot();
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expect(snapshotBeforeBackup.companies).toHaveLength(1);
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expect(snapshotBeforeBackup.runs[0]?.status).toBe("succeeded");
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expect(snapshotBeforeBackup.tasks[0]?.activeRunId).toBeNull();
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await db.exportBackup(backupDir);
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db.saveCompany({
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name: "Temporary company",
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description: "Should disappear after restore",
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status: "active",
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});
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expect(db.listSnapshot().companies).toHaveLength(2);
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await db.restoreFromBackup(backupDir);
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const restoredSnapshot = db.listSnapshot();
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expect(restoredSnapshot.companies).toHaveLength(1);
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expect(restoredSnapshot.companies[0]?.name).toBe("Orbit Foundry");
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expect(restoredSnapshot.runs[0]?.summary).toBe("Completed successfully");
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db.close();
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});
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it("returns a renderer snapshot scoped to the current company while preserving global selectors", async () => {
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const profileDir = await createTempDir("agentcompany-renderer-snapshot-");
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const db = new AppDatabase(profileDir);
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db.init();
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const alphaCompanyId = db.saveCompany({
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name: "Alpha",
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description: "Alpha company",
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status: "active",
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});
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const betaCompanyId = db.saveCompany({
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name: "Beta",
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description: "Beta company",
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status: "active",
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});
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const alphaWorkspaceId = db.saveWorkspace({
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companyId: alphaCompanyId,
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name: "Alpha Workspace",
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localPath: profileDir,
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repoUrl: "",
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repoRef: "",
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isPrimary: true,
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});
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const betaWorkspaceId = db.saveWorkspace({
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companyId: betaCompanyId,
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name: "Beta Workspace",
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localPath: profileDir,
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repoUrl: "",
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repoRef: "",
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isPrimary: true,
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});
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const alphaAgentId = db.saveAgent({
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companyId: alphaCompanyId,
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name: "Alpha CEO",
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role: "CEO",
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title: "",
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status: "active",
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reportsTo: null,
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connectorId: "openai-codex",
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workspaceId: alphaWorkspaceId,
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model: null,
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capabilities: "Lead alpha",
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budgetMonthlyUsd: 100,
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});
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db.saveAgent({
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companyId: betaCompanyId,
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name: "Beta CEO",
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role: "CEO",
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title: "",
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status: "active",
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reportsTo: null,
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connectorId: "openai-codex",
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workspaceId: betaWorkspaceId,
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model: null,
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capabilities: "Lead beta",
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budgetMonthlyUsd: 100,
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});
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db.saveTask({
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companyId: alphaCompanyId,
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title: "Alpha task",
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description: "Alpha work",
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assigneeAgentId: alphaAgentId,
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workspaceId: alphaWorkspaceId,
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priority: "medium",
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status: "todo",
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});
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db.saveTask({
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companyId: betaCompanyId,
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title: "Beta task",
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description: "Beta work",
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assigneeAgentId: null,
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workspaceId: betaWorkspaceId,
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priority: "medium",
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status: "todo",
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});
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db.setCurrentCompany(alphaCompanyId);
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const rendererSnapshot = db.listRendererSnapshot();
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expect(rendererSnapshot.currentCompanyId).toBe(alphaCompanyId);
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expect(rendererSnapshot.companies).toHaveLength(2);
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expect(rendererSnapshot.connectors.length).toBeGreaterThan(0);
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expect(rendererSnapshot.workspaces.map((workspace) => workspace.companyId)).toEqual([alphaCompanyId]);
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expect(rendererSnapshot.agents.every((agent) => agent.companyId === alphaCompanyId)).toBe(true);
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expect(rendererSnapshot.tasks.every((task) => task.companyId === alphaCompanyId)).toBe(true);
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db.close();
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});
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});
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