83 lines
2.8 KiB
Python
83 lines
2.8 KiB
Python
import json
|
||
from typing import Any
|
||
|
||
from bson.json_util import dumps
|
||
from motor.motor_asyncio import AsyncIOMotorClient, AsyncIOMotorDatabase
|
||
from core.mongo import DatabaseManage
|
||
from pymongo.results import InsertOneResult
|
||
|
||
|
||
class MongoManage(DatabaseManage):
|
||
"""
|
||
This class extends from ./database_manage.py
|
||
which have the abstract methods to be re-used here.
|
||
博客：https://www.cnblogs.com/aduner/p/13532504.html
|
||
mongodb 官网：https://www.mongodb.com/docs/drivers/motor/
|
||
motor 文档：https://motor.readthedocs.io/en/stable/
|
||
"""
|
||
|
||
client: AsyncIOMotorClient = None
|
||
db: AsyncIOMotorDatabase = None
|
||
|
||
async def connect_to_database(self, path: str, db_name: str):
|
||
self.client = AsyncIOMotorClient(path, maxPoolSize=10, minPoolSize=10)
|
||
self.db = self.client[db_name]
|
||
|
||
async def close_database_connection(self):
|
||
self.client.close()
|
||
|
||
async def create_data(self, collection: str, data: dict) -> InsertOneResult:
|
||
return await self.db[collection].insert_one(data)
|
||
|
||
async def get_datas(
|
||
self,
|
||
collection: str,
|
||
page: int = 1,
|
||
limit: int = 10,
|
||
v_schema: Any = None,
|
||
v_order: str = None,
|
||
v_order_field: str = None,
|
||
**kwargs
|
||
):
|
||
"""
|
||
使用 find() 要查询的一组文档。 find() 没有I / O，也不需要 await 表达式。它只是创建一个 AsyncIOMotorCursor 实例
|
||
当您调用 to_list() 或为循环执行异步时 (async for) ，查询实际上是在服务器上执行的。
|
||
"""
|
||
|
||
params = self.filter_condition(**kwargs)
|
||
cursor = self.db[collection].find(params)
|
||
|
||
# 对查询应用排序(sort)，跳过(skip)或限制(limit)
|
||
cursor.sort("create_datetime", -1).skip((page - 1) * limit).limit(limit)
|
||
|
||
datas = []
|
||
async for row in cursor:
|
||
del row['_id']
|
||
data = json.loads(dumps(row))
|
||
if v_schema:
|
||
data = v_schema.parse_obj(data).dict()
|
||
datas.append(data)
|
||
return datas
|
||
|
||
async def get_count(self, collection: str, **kwargs) -> int:
|
||
params = self.filter_condition(**kwargs)
|
||
return await self.db[collection].count_documents(params)
|
||
|
||
@classmethod
|
||
def filter_condition(cls, **kwargs):
|
||
"""
|
||
过滤条件
|
||
"""
|
||
params = {}
|
||
for k, v in kwargs.items():
|
||
if not v:
|
||
continue
|
||
elif isinstance(v, tuple):
|
||
if v[0] == "like" and v[1]:
|
||
params[k] = {'$regex': v[1]}
|
||
elif v[0] == "between" and len(v[1]) == 2:
|
||
params[k] = {'$gte': v[1][0], '$lt': v[1][0]}
|
||
else:
|
||
params[k] = v
|
||
return params
|