105 lines
4.6 KiB
Python
105 lines
4.6 KiB
Python
from datetime import datetime
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from sqlalchemy import func, or_, and_
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from sqlalchemy.orm import Session
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from Models.DailyModel import Daily
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from Schemas.DailySchemas import DailyQuery, DailyTypeEnum
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def daily_get(db: Session, item_id):
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return db.query(Daily).filter_by(id=item_id).first()
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def daily_add(db: Session, data):
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daily = Daily(**data)
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db.add(daily)
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db.commit()
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db.refresh(daily)
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return daily
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def daily_change(db: Session, item_id, data):
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db.query(Daily).filter_by(id=item_id).update(data)
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db.commit()
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item = db.query(Daily).filter_by(id=item_id).first()
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return item
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def daily_delete(db: Session, item_id):
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db.query(Daily).filter_by(id=item_id).delete()
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db.commit()
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def daily_query(db: Session, params: DailyQuery, department: str, auth: str = None) -> [int]:
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print(params)
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params_dict = params.dict()
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query = db.query(Daily)
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db_model = Daily
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if auth:
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auth_list = auth.split(',')
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# 有日报管理权限的可以查看所有 10
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# 所有部门动态查看 2
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#
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if '10' not in auth_list and '2' not in auth_list and params.type == DailyTypeEnum.动态:
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has_auth = [int(item) for item in auth_list if item in ['17', '18']]
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# query = query.filter(or_(*[func.find_in_set(str(item), Daily.required_auth) for item in has_auth],
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# Daily.required_auth._in['', None]))
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departments = [int(item) for item in department.split(",")]
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query = query.filter(or_(Daily.department.in_(departments), and_(Daily.department.not_in(departments),
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or_(*[func.find_in_set(str(item),
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Daily.required_auth)
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for item in has_auth],
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not Daily.required_auth))))
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for key, value in params_dict.items():
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if key == 'department' and type(value) == list:
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query = query.filter(Daily.department.in_(value))
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continue
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# if key == 'required_auth':
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# if not value:
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# continue
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# if auth:
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# auth_list = auth.split(',')
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# # 有日报管理权限的可以查看所有
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# if '10' in auth_list:
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# continue
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# else:
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# has_auth = [int(item) for item in auth_list if item in ['17', '18']]
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# query = query.filter(or_(*[func.find_in_set(str(item), Daily.required_auth) for item in has_auth],
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# Daily.required_auth._in['', None]))
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# continue
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# print(key, value)
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if key not in ['page', 'page_size'] and value is not None:
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# 在存储的数组值内查询 如存的 1,2,3,4 查询时则使用的 [1,2]这样的数据来查
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# if key in ["xx"]:
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# for item in value:
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# query = query.filter(func.find_in_set(str(item), getattr(db_model, key)))
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# continue
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if type(value) == str:
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query = query.filter(getattr(db_model, key).like(f'%{value}%'))
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elif type(value) in [int, float, bool]:
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query = query.filter_by(**{key: value})
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# 日期范围查询
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elif type(value) in [list, tuple] and getattr(db_model, key).type.python_type == datetime:
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if value:
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if value[0] is not None:
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query = query.filter(getattr(db_model, key) >= datetime.fromtimestamp(value[0] / 1000))
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print(datetime.fromtimestamp(value[0] / 1000))
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if value[1] is not None:
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query = query.filter(getattr(db_model, key) < datetime.fromtimestamp(value[1] / 1000))
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print(datetime.fromtimestamp(value[1] / 1000))
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else:
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query = query.filter(getattr(db_model, key) == value)
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query = query.order_by(Daily.daily_time.desc())
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count = query.count()
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page = None
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page_size = None
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if 'page' in params_dict:
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page = params_dict['page']
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if 'page_size' in params_dict:
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page_size = params_dict['page_size']
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if page is not None and page_size is not None:
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query = query.offset((page - 1) * page_size).limit(page_size).all()
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# print(query,"daily_query")
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return count, query
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