153 lines
4.9 KiB
Python
153 lines
4.9 KiB
Python
import time
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import json
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from itertools import chain
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from celery import shared_task
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from celery import Task
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from app.utils.utils import *
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from app.utils.yd_utils import get_token, get_activity_info
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from app.utils.feishu import create_doc, get_doc_block, create_doc_block
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@shared_task(include_result=False)
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def process_message_callback(
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app_id, app_secret, bitable_token, table_id, cache_dir, data
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) -> None:
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client = lark.Client.builder().app_id(app_id).app_secret(app_secret).build()
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record = {}
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images = []
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images_token = []
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message_content = ""
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# message_type = data.event.message.message_type
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# content = json.loads(data.event.message.content)
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# sender_id = data.event.sender.sender_id.open_id
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# message_id = data.event.message.message_id
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message_type = data.get("message_type")
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content = data.get("content")
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sender_id = data.get("sender_id")
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message_id = data.get("message_id")
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if message_type == "post":
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content = content["content"]
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for item in chain.from_iterable(content):
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if item.get("tag") == "text":
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message_content += item["text"]
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if item.get("tag") == "img":
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images.append(item["image_key"])
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if message_type == "text":
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message_content = content["text"].replace("@_user_1", "").strip()
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record["问题概述"] = message_content
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record["创建人"] = [{"id": sender_id}]
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# 对 image_key 处理并并上传至多维表格
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for image in images:
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image_path = get_message_resource(client, message_id, image, "image", cache_dir)
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print("下载文件成功:", image, image_path)
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file_token = upload_media(client, image_path, "bitable_image", bitable_token)
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print("上传文件成功:", file_token)
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images_token.append(file_token)
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if images:
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record["附件"] = [{"file_token": image} for image in images_token]
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record_id = add_record(client, bitable_token, table_id, record)
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time.sleep(1)
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update_data = {"创建人": {"id": sender_id}}
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update_record(client, bitable_token, table_id, record_id, update_data)
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# content = {"text": "反馈的问题已经记录到多维表格, 稍后有小伙伴跟进"}
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# send_message(receive_id, content)
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# 回复群组的消息
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content = f'{{"text": "反馈的问题已经记录到多维表格, 稍后有小伙伴跟进"}}'
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send_group_message(client, message_id, content)
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@shared_task()
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def sync_xbot_activity_info():
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app_id = os.environ["APP_ID"]
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app_secret = os.environ["APP_SECRET"]
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bitable_token = os.environ["OFFICE_XBOT_BITABLE_TOKEN"]
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table_id = os.environ["OFFICE_XBOT_TABLE_ID"]
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view_id = os.environ["OFFICE_XBOT_VIEW_ID"]
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xbot_username = os.environ["XBOT_USERNAME"]
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xbot_password = os.environ["XBOT_PASSWORD"]
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client = lark.Client.builder().app_id(app_id).app_secret(app_secret).build()
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token = get_token(xbot_username, xbot_password)
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handle_list = []
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# 同步应用数据
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# office_app_uuids = get_office_app_uuids()
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# print(f"office_activity_uuids count: {len(office_app_uuids)}")
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# 同步指令数据
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office_activity_uuids = get_activity_info(token)
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print(f"office_activity_uuids count: {len(office_activity_uuids)}")
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for item in office_activity_uuids:
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robot_uuid = item.get("robotUuid")
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package_view_name = item.get("packageViewName")
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print("=====================================")
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print(f"同步信息: {robot_uuid}, {package_view_name}")
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record_id = get_filtered_record_by_uuid(
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client, bitable_token, table_id, view_id, "UUID", robot_uuid
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)
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if record_id:
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print(f"{robot_uuid}已同步多维表格中")
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update_record(
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client, bitable_token, table_id, record_id, {"名称": package_view_name}
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)
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else:
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handle_list.append(robot_uuid)
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print(f"{robot_uuid}: {package_view_name} 未同步多维表格中")
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add_record(
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client,
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bitable_token,
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table_id,
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{"UUID": robot_uuid, "名称": package_view_name, "分类": "官方指令"},
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)
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print(f"新增的数量: {len(handle_list)}")
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print("新增的uuid: ", handle_list)
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@shared_task(include_result=False)
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def process_new_demand(app_id, app_secret, data):
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title = data.get("title")
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background = data.get("background")
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features = data.get("features")
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category = data.get("category")
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client = (
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lark.Client.builder()
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.app_id(app_id)
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.app_secret(app_secret)
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.log_level(lark.LogLevel.DEBUG)
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.build()
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)
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space_id = "7268552249415319554"
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parent_node_token = "ADkFwlLhmiLcqAk3QXLcZnHAnHf"
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doc_id = create_doc(client, space_id, parent_node_token, title)
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block_id = get_doc_block(client, doc_id)
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create_doc_block(client, doc_id, block_id, background, features)
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