from functools import reduce
from celery_task.utils import mongo_client
from celery_task.config import mongo_conf
def tag_relation(weibo_data: dict, tag_task_id: str, user_mark_data: dict):
"""
处理话题人物关系网的函数
:param user_mark_data: 用户分类数据
:param weibo_data:微博数据
:param tag_task_id:话题任务
:return:
"""
node_list = list()
link_list = list()
weibo_list = reduce(lambda x, y: x if y in x else x + [y], [[], ] + weibo_data['data'])
screen_name_set = set(i['screen_name'] for i in weibo_list)
relation_data = list()
for screen_name in screen_name_set:
at_users_list = list()
user_id = 0
hot_count = 0
for weibo in weibo_list:
if weibo.get('screen_name') == screen_name:
at_users_list.extend(weibo.get('at_users'))
hot_count += int(weibo.get('hot_count'))
user_id = weibo['user_id']
relation_data.append({'screen_name': screen_name,
'user_id': user_id,
'at_users': at_users_list,
'hot_count': hot_count
}
)
for data in relation_data:
category = -1
for user_mark in user_mark_data.get('data'):
if user_mark.get('user_id') == data['user_id']:
category = user_mark.get('category')
break
node = {'category': category, 'name': data['screen_name'], 'userId': data['user_id'],
'value': int(data['hot_count'])}
node_list.append(node)
for i in data['at_users']:
link = {'source': data['screen_name'], 'target': i, 'weight': data['at_users'].count(i)}
if link not in link_list:
link_list.append(link)
if i not in screen_name_set:
node = {'category': -1, 'name': i, 'userId': None,
'value': int(data['hot_count'])}
node_list.append(node)
screen_name_set.add(i)
else:
for node_item in node_list:
if node_item['name'] == i:
node_item['value'] += int(data['hot_count'])
break
query_by_task_id = {'tag_task_id': tag_task_id}
update = {
"$set": {'nodes_list': node_list, 'links_list': link_list, 'categories': user_mark_data.get('categories')}}
mongo_client.db[mongo_conf.RELATION].update_one(query_by_task_id, update)
mongo_client.db[mongo_conf.CHARACTER].update_one(query_by_task_id, {'$set': {'detail': node_list}})
if __name__ == '__main__':
data = mongo_client.db[mongo_conf.BLOG].find_one({'tag_task_id': 'afe59eaa4a9bc41147700ae1b90e7dba'})
tag_relation(data, 'afe59eaa4a9bc41147700ae1b90e7dba')
D:\Anaconda\envs\python37\python.exe "D:\PyCharm\PyCharm Community Edition 2021.3.2\plugins\python-ce\helpers\pydev\pydevd.py" --multiproc --qt-support=auto --client 127.0.0.1 --port 63639 --file D:/Work/YQFX_System/yqfx_system/code/back_end/celery_task/tag_task/tag_relaton_task.py
Connected to pydev debugger (build 213.6777.50)
Traceback (most recent call last):
File "D:\PyCharm\PyCharm Community Edition 2021.3.2\plugins\python-ce\helpers\pydev\pydevd.py", line 1483, in _exec
pydev_imports.execfile(file, globals, locals) # execute the script
File "D:\PyCharm\PyCharm Community Edition 2021.3.2\plugins\python-ce\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "D:/Work/YQFX_System/yqfx_system/code/back_end/celery_task/tag_task/tag_relaton_task.py", line 72, in <module>
tag_relation(data, 'afe59eaa4a9bc41147700ae1b90e7dba')
TypeError: tag_relation() missing 1 required positional argument: 'user_mark_data'
Process finished with exit code 1
你的tag_relation()少传了一个参数
你这应该是少了一个文件
你这串代码是网上抄下来的？你知道它的作用是啥不？
看用到user_mark_data那一模块，user_mark_data是个嵌套字典，如果你不理解里面的用法，很难自己创造数据的，所以要理解来源，怎么去获取这个东西