import type { HarnessEvent } from "@agent-studio/shared"; import { describe, expect, it } from "vitest"; import { createInitialHarnessState, reduceHarnessEvent } from "../src/store/reducer.js"; const base = { sessionId: "ses_test", timestamp: "2026-09-07T08:00:00.000Z", }; function event(value: Omit): T { return { ...base, ...value, eventId: `evt_${value.sequence}`, } as T; } describe("reduceHarnessEvent", () => { it("builds messages, run state, tools, approvals, and timeline from ordered events", () => { const events: HarnessEvent[] = [ event({ type: "user.message", sequence: 1, payload: { messageId: "msg_user", text: "分析素材", attachmentIds: [] } }), event({ type: "run.started", sequence: 2, runId: "run_1", payload: { modelId: "gpt-test" } }), event({ type: "assistant.delta", sequence: 3, runId: "run_1", payload: { messageId: "msg_ai", delta: "正在" } }), event({ type: "tool.requested", sequence: 4, runId: "run_1", payload: { toolCallId: "tool_1", toolName: "save_report_draft", arguments: { title: "草稿" } } }), event({ type: "approval.required", sequence: 5, runId: "run_1", payload: { approvalId: "ap_1", toolCallId: "tool_1", toolName: "save_report_draft", arguments: { title: "草稿" }, riskLevel: "medium", expiresAt: "2026-09-07T08:05:00.000Z" } }), event({ type: "approval.resolved", sequence: 6, runId: "run_1", payload: { approvalId: "ap_1", status: "approved" } }), event({ type: "tool.completed", sequence: 7, runId: "run_1", payload: { toolCallId: "tool_1", toolName: "save_report_draft", result: { path: "draft.md" } } }), event({ type: "assistant.delta", sequence: 8, runId: "run_1", payload: { messageId: "msg_ai", delta: "完成" } }), event({ type: "assistant.completed", sequence: 9, runId: "run_1", payload: { messageId: "msg_ai" } }), event({ type: "run.completed", sequence: 10, runId: "run_1", payload: { messageId: "msg_ai" } }), ]; const state = events.reduce(reduceHarnessEvent, createInitialHarnessState()); expect(state.messageOrder).toEqual(["msg_user", "msg_ai"]); expect(state.messages.msg_ai?.text).toBe("正在完成"); expect(state.messages.msg_ai?.status).toBe("complete"); expect(state.runs.run_1?.status).toBe("complete"); expect(state.tools.tool_1).toMatchObject({ status: "completed", approvalId: "ap_1" }); expect(state.approvals.ap_1?.status).toBe("approved"); expect(state.timeline).toHaveLength(10); expect(state.lastSequence).toBe(10); }); it("ignores duplicates and flags a sequence gap without applying the event", () => { const first = event({ type: "user.message", sequence: 1, payload: { messageId: "msg_1", text: "one", attachmentIds: [] }, }); const duplicate = event({ type: "user.message", sequence: 1, payload: { messageId: "msg_duplicate", text: "duplicate", attachmentIds: [] }, }); const gap = event({ type: "assistant.delta", sequence: 3, runId: "run_1", payload: { messageId: "msg_ai", delta: "missed two" }, }); const afterFirst = reduceHarnessEvent(createInitialHarnessState(), first); expect(reduceHarnessEvent(afterFirst, duplicate)).toBe(afterFirst); const afterGap = reduceHarnessEvent(afterFirst, gap); expect(afterGap.resetRequired).toBe(true); expect(afterGap.lastSequence).toBe(1); expect(afterGap.messages.msg_ai).toBeUndefined(); }); it("marks an assistant message incomplete when its run fails", () => { const state = [ event({ type: "run.started", sequence: 1, runId: "run_2", payload: { modelId: "gpt-test" } }), event({ type: "assistant.delta", sequence: 2, runId: "run_2", payload: { messageId: "msg_ai", delta: "partial" } }), event({ type: "run.failed", sequence: 3, runId: "run_2", payload: { code: "MODEL_ERROR", message: "failed safely" } }), ].reduce(reduceHarnessEvent, createInitialHarnessState()); expect(state.runs.run_2).toMatchObject({ status: "failed", error: "failed safely" }); expect(state.messages.msg_ai).toMatchObject({ status: "failed", error: "failed safely" }); }); });