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
83 lines
2.4 KiB
TypeScript
83 lines
2.4 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import { buildSystemPrompt } from "../../src/main/prompt-builder";
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import type { PromptContext } from "../../src/main/prompt-builder/index";
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function buildCtx(overrides: Partial<PromptContext> = {}): PromptContext {
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return {
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agent: {
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id: "agent-1",
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companyId: "company-1",
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name: "CTO",
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role: "CTO",
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title: "Chief Technology Officer",
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roleLevel: "c_suite",
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department: "engineering",
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status: "active",
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reportsTo: "ceo-1",
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connectorId: "openai-codex",
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workspaceId: null,
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model: null,
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capabilities: "Lead engineering",
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budgetMonthlyUsd: 200,
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spentMonthlyUsd: 0,
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metadataJson: "{}",
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heartbeatEnabled: true,
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heartbeatIntervalSec: 120,
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lastHeartbeatAt: null,
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createdAt: new Date().toISOString(),
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updatedAt: new Date().toISOString(),
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},
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apiUrl: "http://127.0.0.1:3210",
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apiKey: "token",
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runId: "run-1",
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task: null,
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companyName: "Prompt Co",
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companyDescription: "Tests leadership prompt classification",
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goals: [],
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projects: [],
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directReports: [],
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chainOfCommand: [{
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id: "ceo-1",
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companyId: "company-1",
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name: "CEO",
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role: "CEO",
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title: "Chief Executive Officer",
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roleLevel: "c_suite",
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department: "executive",
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status: "active",
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reportsTo: null,
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connectorId: "openai-codex",
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workspaceId: null,
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model: null,
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capabilities: "Lead the company",
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budgetMonthlyUsd: 250,
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spentMonthlyUsd: 0,
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metadataJson: "{}",
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heartbeatEnabled: true,
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heartbeatIntervalSec: 120,
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lastHeartbeatAt: null,
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createdAt: new Date().toISOString(),
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updatedAt: new Date().toISOString(),
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}],
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assignedTasks: [],
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allAgents: [],
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pendingApprovals: [],
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tasksAwaitingReview: [],
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wakeReason: null,
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allTasks: [],
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recentComments: [],
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socialAccounts: [],
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...overrides,
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};
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}
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describe("buildSystemPrompt leadership classification", () => {
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it("treats first-layer executive leaders as managers even before they have direct reports", () => {
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const prompt = buildSystemPrompt(buildCtx());
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expect(prompt).toContain("Operating Instructions (Manager)");
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expect(prompt).toContain("New hires for your team should report to you by default");
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expect(prompt).not.toContain("Operating Instructions (Individual Contributor)");
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});
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});
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