From c90584670d7422e27b3c40bd945cfa3c90a9f978 Mon Sep 17 00:00:00 2001
From: yu <1919727607@qq.com>
Date: Tue, 3 Nov 2026 14:59:48 +0800
Subject: [PATCH] =?UTF-8?q?test:=20OCR=E5=86=92=E7=83=9F=E7=BC=BA=E5=B0=91?=
 =?UTF-8?q?=E6=9C=AC=E6=9C=BA=E5=A4=B9=E5=85=B7=E6=97=B6=E8=87=AA=E5=8A=A8?=
 =?UTF-8?q?=E8=B7=B3=E8=BF=87?=
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---
 src/main/capabilities/ocr-smoke.test.ts | 18 ++++++++++++++++--
 1 file changed, 16 insertions(+), 2 deletions(-)

diff --git a/src/main/capabilities/ocr-smoke.test.ts b/src/main/capabilities/ocr-smoke.test.ts
index 45c584a..b23192e 100644
--- a/src/main/capabilities/ocr-smoke.test.ts
+++ b/src/main/capabilities/ocr-smoke.test.ts
@@ -1,3 +1,4 @@
+import { existsSync } from "node:fs";
 import { describe, expect, it } from "vitest";
 import { getHandler } from "../engine/registry";
 import type { CatalogComponent, FlowNode } from "../../shared/types";
@@ -12,7 +13,19 @@ const ctx = {
   evidenceDir: "D:/office-test2/ocr-test"
 } as unknown as RunContext;
 
-const node = { id: "smoke", componentId: "smoke", position: { x: 0, y: 0 }, values: {}, options: {} };
+const node: FlowNode = {
+  id: "smoke",
+  componentId: "smoke",
+  position: { x: 0, y: 0 },
+  values: {},
+  options: {},
+};
+const ocrFixtures = [
+  "D:/office-test2/ocr-test/general.png",
+  "D:/office-test2/ocr-test/code.png",
+  "D:/office-test2/ocr-test/table.png",
+];
+const ocrFixturesReady = ocrFixtures.every((file) => existsSync(file));
 
 async function runOcr(id: string, args: Record<string, unknown>) {
   const handler = getHandler(id);
@@ -20,7 +33,7 @@ async function runOcr(id: string, args: Record<string, unknown>) {
   return handler!(ctx, node, args, {} as CatalogComponent);
 }
 
-describe("OCR 组件冒烟（本地离线识别，真实模型推理）", () => {
+describe.skipIf(!ocrFixturesReady)("OCR 组件冒烟（本地离线识别，真实模型推理）", () => {
   it("OCR_GeneralTextV2 通用文本", async () => {
     const out = await runOcr("OCR_GeneralTextV2", { path: "D:/office-test2/ocr-test/general.png" });
     console.log("[GeneralTextV2]", JSON.stringify(out));
@@ -86,3 +99,4 @@ describe("OCR 组件冒烟（本地离线识别，真实模型推理）", () =>
     expect(rows.length).toBeGreaterThan(0);
   }, 300000);
 });
+