feat(web): add harness event runtime bridge

2026-09-07 16:58:23 +08:00
parent acc5e26b1c
commit 63ea92b770
7 changed files with 812 additions and 0 deletions
@@ -0,0 +1,82 @@
+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<T extends HarnessEvent>(value: Omit<T, "eventId" | "sessionId" | "timestamp">): 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<HarnessEvent>({
+      type: "user.message",
+      sequence: 1,
+      payload: { messageId: "msg_1", text: "one", attachmentIds: [] },
+    });
+    const duplicate = event<HarnessEvent>({
+      type: "user.message",
+      sequence: 1,
+      payload: { messageId: "msg_duplicate", text: "duplicate", attachmentIds: [] },
+    });
+    const gap = event<HarnessEvent>({
+      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<HarnessEvent>({ type: "run.started", sequence: 1, runId: "run_2", payload: { modelId: "gpt-test" } }),
+      event<HarnessEvent>({ type: "assistant.delta", sequence: 2, runId: "run_2", payload: { messageId: "msg_ai", delta: "partial" } }),
+      event<HarnessEvent>({ 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" });
+  });
+});