From 5e082690d8bee4ca6f2bfe6881fc5a0579262dd5 Mon Sep 17 00:00:00 2001
From: Ahwei <coder_li@outlook.com>
Date: Sat, 14 Feb 2026 14:37:23 +0800
Subject: [PATCH] refactor(feishu): support both direct and localized post
 content formats

---
 nanobot/channels/feishu.py | 30 ++++++++++++++++++++++++------
 1 file changed, 24 insertions(+), 6 deletions(-)

diff --git a/nanobot/channels/feishu.py b/nanobot/channels/feishu.py
index 5d6c33b..bc4a2b8 100644
--- a/nanobot/channels/feishu.py
+++ b/nanobot/channels/feishu.py
@@ -40,15 +40,19 @@ MSG_TYPE_MAP = {
 
 
 def _extract_post_text(content_json: dict) -> str:
-    """Extract plain text from Feishu post (rich text) message content."""
-    for lang_key in ("zh_cn", "en_us", "ja_jp"):
-        lang_content = content_json.get(lang_key)
+    """Extract plain text from Feishu post (rich text) message content.
+    
+    Supports two formats:
+    1. Direct format: {"title": "...", "content": [...]}
+    2. Localized format: {"zh_cn": {"title": "...", "content": [...]}}
+    """
+    def extract_from_lang(lang_content: dict) -> str | None:
         if not isinstance(lang_content, dict):
-            continue
+            return None
         title = lang_content.get("title", "")
         content_blocks = lang_content.get("content", [])
         if not isinstance(content_blocks, list):
-            continue
+            return None
         text_parts = []
         if title:
             text_parts.append(title)
@@ -64,7 +68,21 @@ def _extract_post_text(content_json: dict) -> str:
                         text_parts.append(element.get("text", ""))
                     elif tag == "at":
                         text_parts.append(f"@{element.get('user_name', 'user')}")
-        return " ".join(text_parts).strip()
+        return " ".join(text_parts).strip() if text_parts else None
+    
+    # Try direct format first
+    if "content" in content_json:
+        result = extract_from_lang(content_json)
+        if result:
+            return result
+    
+    # Try localized format
+    for lang_key in ("zh_cn", "en_us", "ja_jp"):
+        lang_content = content_json.get(lang_key)
+        result = extract_from_lang(lang_content)
+        if result:
+            return result
+    
     return ""