From effa4168e23df79690dfb172171c5f08124e0243 Mon Sep 17 00:00:00 2001 From: woni <320753691@qq.com> Date: Tue, 28 May 2024 16:36:38 +0800 Subject: [PATCH] fix print --- app/task.py | 85 +++++++++++++++-------------------------------------- 1 file changed, 23 insertions(+), 62 deletions(-) diff --git a/app/task.py b/app/task.py index 9637bba..27de2af 100644 --- a/app/task.py +++ b/app/task.py @@ -17,54 +17,8 @@ def process_message_callback( app_id, app_secret, bitable_token, table_id, cache_dir, data ) -> None: """ - { - "schema": "2.0", - "header": { - "event_id": "5a62a955882eb0bef60d8cd92cbd3797", - "token": "35LaoAPYTXRyBmjeaBvzRbRUsJSL1KBx", - "create_time": "1716882569266", - "event_type": "im.message.receive_v1", - "tenant_key": "11cf67642edc175f", - "app_id": "cli_a5110cd1da70900b" - }, - "event": { - "sender": { - "sender_id": { - "user_id": "7g3756f4", - "open_id": "ou_d542891996bf1961f9a94563e6bd4d49", - "union_id": "on_d0b974fa569f61a46f99b6aaac856779" - }, - "sender_type": "user", - "tenant_key": "11cf67642edc175f" - }, - "message": { - "message_id": "om_b9fc436533bd2f9b103fb036926558be", - "root_id": "om_eb490fc20824200d204ef8091ea41442", - "parent_id": "om_eb490fc20824200d204ef8091ea41442", - "create_time": "1716882569049", - "update_time": "1716882569049", - "chat_id": "oc_078dfeaefc42b43a25c35d3de348c7fc", - "thread_id": "omt_1531b4e1939f9740", - "chat_type": "group", - "message_type": "text", - "content": "{\"text\":\"@_user_1 1\"}", - "mentions": [ - { - "key": "@_user_1", - "id": { - "user_id": "", - "open_id": "ou_76322e169bb6bb8f6e1c8b6631b54d72", - "union_id": "on_fef0f7ff1f1a29a806df7fe0625d40e5" - }, - "name": "官方应用指令", - "tenant_key": "11cf67642edc175f" - } - ] - } - } - } + 记录问题到多维表格逻辑 """ - # 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 event_message = data.get("event") @@ -88,26 +42,33 @@ def process_message_callback( lark.logger.info("忽略非@官方应用的消息") return - message_content = "" + if message_type != "text": + # 忽略非文本消息 + lark.logger.info("忽略非文本消息") + return + + content = json.loads(message_data.get("content")) + content_text = content.get("text") + + if "记录问题" not in content_text: + # 忽略非记录问题的消息 + lark.logger.info("忽略非记录问题的消息") + return + record = {} 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 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"]) + # if item.get("tag") == "img": + # images.append(item["image_key"]) - if message_type != "text" or message_content != "记录问题": - return - - message_content = content["text"].replace("@_user_1", "").strip() - - lark.logger.info(f"message_content: {message_content}") + 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 client = ( @@ -118,7 +79,7 @@ def process_message_callback( .build() ) - record["问题概述"] = message_content + 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