Files
AgentCompany/tests/unit/approval-review-feedback-writeback.test.ts
T
ZacharyZhang-NY e94939a562 test(connector-id): migrate fixtures and assertions to pi-mono ids
Replaces legacy adapter ids (codex_local / claude_local / gemini_local /
claude_compatible) across ~42 test files with pi-mono equivalents:
- codex_local → openai-codex
- claude_local → claude-pro
- gemini_local → gemini-cli
- claude_compatible → anthropic

Hand-rewrites where fixture semantics changed:
- connector-matching: TASK_TYPE_PREFERENCE ordering rebased (claude-pro
  first for code/content/management; google first for research)
- connector-model-policy: getModels(provider) from pi-ai instead of the
  deleted adapter.module.models array
- session-management + edge-case-session: adapter exemption removed;
  rotation now uniform under pi-mono
- ipc-core-admin-handlers: CSV compat model replaced with pi-ai anthropic
- connectors.spec: lookup by openai-codex id (catalog now starts with claude-pro)
- onboarding-model-pool: listProviderModels(provider) helper; label text
  changed to "ChatGPT Plus/Pro (Codex)"
- database integration: added vault insecure-fallback env + electron mock
- command-paths: uses new @main/connector-helpers normalizeCommandValue
- pi-mono-migrations: added `as string` casts for 3 negative-existence
  assertions verifying legacy ids were removed

Drops:
- pnpm-workspace.yaml packages: [] (was "packages/*"; directory empty)
- obsolete CONNECTOR_STRENGTHS import; .module.models probing

Verification:
- pnpm typecheck → 0 errors
- pnpm lint → 0 errors / 0 warnings
- pnpm build:verify → 0 errors / 0 warnings
- pnpm test:unit → 508/508 pass
- pnpm test:integration → 96/96 pass
- All 6 adapter hard gates pass (NOT FOUND / 0 matches / empty)
- pi-ai / pi-agent-core / pi-coding-agent all resolved @0.67.6
2026-04-17 02:36:53 -04:00

126 lines
4.2 KiB
TypeScript

import { mkdtemp, rm } from "node:fs/promises";
import { join } from "node:path";
import { tmpdir } from "node:os";
import { afterEach, describe, expect, it, vi } from "vitest";
import { AppDatabase } from "../../src/main/database";
import { handleApprovalResolved } from "../../src/main/automation/automation-approval-handler";
const tempDirs: string[] = [];
async function createTempDir(prefix: string) {
const dir = await mkdtemp(join(tmpdir(), prefix));
tempDirs.push(dir);
return dir;
}
afterEach(async () => {
await Promise.all(tempDirs.splice(0).map((dir) => rm(dir, { recursive: true, force: true })));
});
describe("deliverable review feedback writeback", () => {
it("persists high-importance knowledge when the board requests revisions on a deliverable", async () => {
const profileDir = await createTempDir("agentcompany-review-feedback-");
const db = new AppDatabase(profileDir);
db.init();
db.updateConnectorHealth({
id: "openai-codex",
status: "ready",
authState: "authenticated",
version: "test",
lastError: null,
});
const companyId = db.saveCompany({
name: "Review Feedback Co",
description: "Tests review feedback knowledge writeback",
status: "active",
});
const workspaceId = db.saveWorkspace({
companyId,
name: "Primary",
localPath: profileDir,
repoUrl: "",
repoRef: "",
isPrimary: true,
});
const agentId = db.saveAgent({
companyId,
name: "Research Lead",
role: "Researcher",
title: "Research Lead",
status: "active",
reportsTo: null,
connectorId: "openai-codex",
workspaceId,
model: null,
capabilities: "Research and synthesis",
budgetMonthlyUsd: 180,
department: "research",
});
const taskId = db.saveTask({
companyId,
title: "Draft market report",
description: "Produce a market report with concrete evidence and business insight.",
assigneeAgentId: agentId,
workspaceId,
priority: "high",
status: "in_review",
});
const documentId = db.saveDocument({
companyId,
type: "knowledge_article",
title: "Market report",
content: "Draft report body",
authorAgentId: agentId,
status: "in_review",
});
const approvalId = db.requestApproval({
companyId,
relatedTaskId: taskId,
requestedByAgentId: agentId,
type: "deliverable_review",
payloadSummary: "Review market report deliverable",
impactSummary: "Board review required before the report is finalized.",
payloadJson: JSON.stringify({ documentIds: [documentId] }),
});
db.decideApproval({
approvalId,
state: "revision_requested",
decisionNote: "Add stronger competitor evidence and a clearer recommendation.",
});
const wakeAgentIfPossible = vi.fn().mockReturnValue(null);
handleApprovalResolved({
db,
logger: { info: () => {}, warn: () => {}, error: () => {} },
publishDomainChanged: () => {},
notify: vi.fn(),
wakeAgentIfPossible,
dispatchBrowserAction: async () => {},
isQuitting: () => false,
}, {
dispatchAutomation: vi.fn(),
handleTaskStatusChange: vi.fn(),
runWorkflowPipeline: async () => {},
trackTimer: vi.fn(),
}, approvalId, companyId, "revision_requested");
const knowledgeEntries = db.listSnapshot().knowledgeBase.filter((entry) => entry.companyId === companyId);
expect(knowledgeEntries).toHaveLength(1);
expect(knowledgeEntries[0]?.category).toBe("lesson_learned");
expect(knowledgeEntries[0]?.importance).toBe("high");
expect(knowledgeEntries[0]?.referencedEntityType).toBe("task");
expect(knowledgeEntries[0]?.referencedEntityId).toBe(taskId);
expect(knowledgeEntries[0]?.content).toContain("revision_requested");
expect(knowledgeEntries[0]?.content).toContain("stronger competitor evidence");
expect(wakeAgentIfPossible).toHaveBeenCalledWith(agentId, companyId, "revision_needed");
expect(db.getTask(taskId).status).toBe("in_progress");
const document = db.listSnapshot().documents.find((entry) => entry.id === documentId);
expect(document?.status).toBe("draft");
db.close();
});
});