From 679cca3b2c8e02ef91325dcaa44a57a10d5997e9 Mon Sep 17 00:00:00 2001
From: OpenClaw Agent <admin@openclaw.ai>
Date: Tue, 10 Feb 2026 20:34:11 +0800
Subject: [PATCH] =?UTF-8?q?feat(kb-workflow):=20=E4=BC=98=E5=8C=96OCR?=
 =?UTF-8?q?=E5=A4=84=E7=90=86=E9=80=BB=E8=BE=91?=
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- 无论content步骤有没有字幕，都执行ocr步骤
- ocr超时设置为30分钟（1800秒）
- 如果没有字幕文件但有视频文件，使用视频作为ocr源
---
 skills/kb-workflow/kb_workflow.py | 32 +++++++++++++++++++------------
 1 file changed, 20 insertions(+), 12 deletions(-)

diff --git a/skills/kb-workflow/kb_workflow.py b/skills/kb-workflow/kb_workflow.py
index b1e9ca4..2ae3b94 100644
--- a/skills/kb-workflow/kb_workflow.py
+++ b/skills/kb-workflow/kb_workflow.py
@@ -425,19 +425,19 @@ def call_content_agent(platform: str, meta_file: Path, content_dir: Path) -> Dic
     return call_subagent(agent_id, task, timeout=600)
 
 
-def call_ocr_processor(subtitle_file: Path, content_dir: Path) -> Dict[str, Any]:
+def call_ocr_processor(source_file: Path, content_dir: Path, timeout: int = 1800) -> Dict[str, Any]:
     """调用 OCR 处理"""
-    task = f"""处理字幕文件，提取文字内容：
+    task = f"""处理文件，提取文字内容：
 
-字幕文件: {subtitle_file}
+源文件: {source_file}
 输出目录: {content_dir}
 
-请读取字幕文件，将内容转换为纯文本。
+请读取文件，提取文字内容。
 输出文件名格式: {{platform}}_{{id}}.txt
 
 返回结果时告诉我输出文件的完整路径。"""
     
-    return call_subagent(OCR_AGENT, task, timeout=120)
+    return call_subagent(OCR_AGENT, task, timeout=timeout)
 
 
 def call_deep_analyzer(meta_file: Path, text_file: Path, analyzed_dir: Path) -> Dict[str, Any]:
@@ -612,18 +612,26 @@ def process_url(url: str, base_path: Path = None) -> Dict[str, Any]:
         
         # OCR
         text_file = None
-        if subtitle_file:
-            print(f"\n{'='*50}")
-            print(f"步骤5: OCR处理 (kb-ocr-processor)")
-            print(f"{'='*50}")
-            
-            ocr_result = call_ocr_processor(Path(subtitle_file), dirs["content"])
+        print(f"\n{'='*50}")
+        print(f"步骤5: OCR处理 (kb-ocr-processor)")
+        print(f"{'='*50}")
+        
+        # 无论有没有字幕，都尝试OCR处理
+        ocr_source = subtitle_file
+        if not ocr_source and video_file:
+            ocr_source = video_file
+        
+        if ocr_source:
+            # OCR超时设置为30分钟
+            ocr_result = call_ocr_processor(Path(ocr_source), dirs["content"], timeout=1800)
             text_file = ocr_result.get("output_file") if ocr_result.get("success") else None
             
             if text_file:
                 result["stages"].append({"stage": "ocr", "file": text_file})
+            else:
+                print(f"OCR处理未生成文件")
         else:
-            print(f"\n无字幕文件，跳过OCR处理")
+            print(f"无字幕文件，跳过OCR处理")
         
         # 深度分析
         print(f"\n{'='*50}")