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