fix print

app/task.py

@@ -8,7 +8,7 @@ from celery import Task
 
 from app.utils.utils import *
 from app.utils.yd_utils import get_token, get_activity_info
-from app.utils.feishu import create_doc, get_doc_block, create_doc_block
+from app.utils.feishu import create_doc, get_doc_block, create_doc_block, get_messages
 from app.utils.utils import update_record
 
 
@@ -18,6 +18,7 @@ def process_message_callback(
 ) -> None:
     """
     记录问题到多维表格逻辑
+
     """
 
     # 如果 @机器人 等于"记录问题", 获取当前的话题
@@ -25,6 +26,9 @@ def process_message_callback(
     sender_info = event_message.get("sender")
     message_data = event_message.get("message")
 
+    chat_id = message_data.get("chat_id")
+    thread_id = message_data.get("thread_id")
+
     message_type = message_data.get("message_type")
     content = message_data.get("content")
     sender_id = message_data.get("sender_id")
@@ -59,15 +63,6 @@ def process_message_callback(
     images = []
     images_token = []
 
-    # if message_type == "post":
-    #     content = content["content"]
-    #     for item in chain.from_iterable(content):
-    #         if item.get("tag") == "text":
-    #             message_content += item["text"]
-
-    #         if item.get("tag") == "img":
-    #             images.append(item["image_key"])
-
     lark.logger.info(f"message_content: {content_text}")
 
     # 从话题中提取问题发起人的所有消息和图片, 记录到多维表格中, 记录发消息人 openid 并将处理人设置为@机器人的人
@@ -82,7 +77,8 @@ def process_message_callback(
     record["问题概述"] = content_text
     record["创建人"] = [{"id": sender_id}]
 
-    # 对 image_key 处理并并上传至多维表格
+    history_message_data = get_messages(client, message_id, images, cache_dir)
+    lark.logger.info(f"history_message_data: {history_message_data}")
 
     for image in images:
         image_path = get_message_resource(client, message_id, image, "image", cache_dir)