Files
AgentCompany/tests/integration/autonomous-chain/run-failure.spec.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

67 lines
2.1 KiB
TypeScript

/**
* Step 6: Run failure escalation (database layer).
* Physically extracted from autonomous-chain.spec.ts without behavior changes.
*/
import { describe, expect, it } from "vitest";
import { installSharedSetup } from "./shared-setup";
const shared = installSharedSetup();
const { createAgent } = shared;
describe("Step 6: Run failure escalation (database layer)", () => {
it("finishRun marks run as failed and returns outcome", () => {
const agentId = createAgent({ name: "IC", role: "Engineer" });
const taskId = shared.db.saveTask({
companyId: shared.companyId,
title: "Failing task",
description: "Will fail",
assigneeAgentId: agentId,
workspaceId: shared.workspaceId,
priority: "medium",
status: "in_progress",
});
const run = shared.db.createRun({
companyId: shared.companyId,
taskId,
agentId,
workspaceId: shared.workspaceId,
connectorId: "openai-codex",
});
shared.db.markRunStatus(run.id, "running", "Started");
const outcome = shared.db.finishRun({
runId: run.id,
status: "failed",
summary: null,
errorMessage: "Process crashed",
exitCode: 1,
signal: null,
model: "gpt-5-codex",
sessionDisplayId: null,
costUsd: 0.5,
unattributedCost: false,
});
expect(outcome.budgetHardStopped).toBe(false);
const snapshot = shared.db.listSnapshot();
const finishedRun = snapshot.runs.find((r) => r.id === run.id);
expect(finishedRun?.status).toBe("failed");
expect(finishedRun?.errorMessage).toBe("Process crashed");
});
it("getChainOfCommand returns manager for failure escalation", () => {
const ceoId = createAgent({ name: "CEO", role: "CEO" });
const ctoId = createAgent({ name: "CTO", role: "CTO", reportsTo: ceoId });
const icId = createAgent({ name: "Dev", role: "Engineer", reportsTo: ctoId });
const chain = shared.db.getChainOfCommand(icId);
// First in chain is the immediate manager (CTO)
expect(chain.length).toBeGreaterThan(0);
expect(chain[0].name).toBe("CTO");
});
});