accountant/accountant/models/operations.py

253 lines
7.0 KiB
Python

"""Module containing operation related models."""
# vim: set tw=80 ts=4 sw=4 sts=4:
from datetime import date
import arrow
from . import db
# pylint: disable=no-member,invalid-name,too-many-arguments
# pylint: disable=too-few-public-methods,too-many-instance-attributes
class Operation(db.Model):
"""Class used to handle operations."""
id = db.Column(db.Integer, primary_key=True)
operation_date = db.Column(
db.Date,
nullable=False,
default=date.today,
server_default=db.func.current_date(),
index=True
)
label = db.Column(db.String(500), nullable=False)
value = db.Column(db.Numeric(15, 2), nullable=False)
scheduled_operation_id = db.Column(
db.Integer,
db.ForeignKey('scheduled_operation.id'),
index=True
)
scheduled_operation = db.relationship(
"ScheduledOperation", backref=db.backref('operations', lazy="dynamic")
)
account_id = db.Column(db.Integer, db.ForeignKey('account.id'), index=True)
account = db.relationship(
'Account', backref=db.backref('operations', lazy="dynamic")
)
category = db.Column(db.String(100), nullable=True, index=True)
pointed = db.Column(
db.Boolean,
nullable=False,
default=False,
server_default=db.false()
)
confirmed = db.Column(
db.Boolean,
nullable=False,
default=True,
server_default=db.true()
)
canceled = db.Column(
db.Boolean,
nullable=False,
default=False,
server_default=db.false()
)
def __init__(self, label, value, account_id, operation_date=None,
category=None, pointed=False, confirmed=True, canceled=False,
scheduled_operation_id=None):
self.operation_date = operation_date
self.label = label
self.value = value
self.category = category
self.account_id = account_id
self.scheduled_operation_id = scheduled_operation_id
self.pointed = pointed
self.confirmed = confirmed
self.canceled = canceled
@classmethod
def query(cls):
"""Return query for this class."""
query = db.session.query(
cls
)
return query
@classmethod
def get_with_balance(cls, account_id, begin=None, end=None):
"""Get operations with cumulated balance for a speciific account,
optionally for a specific time period."""
query = db.session.query(
*cls.__table__.columns.keys(),
db.func.sum(
cls.value
).filter(
db.not_(cls.canceled)
).over(
partition_by=[cls.account_id],
order_by=[
cls.operation_date,
db.desc(cls.value),
db.desc(cls.label),
cls.id
]
).label("balance")
).filter(
cls.account_id == account_id
)
if begin:
base_query = query.subquery()
query = db.session.query(
base_query
).filter(
cls.operation_date >= str(begin)
).join(
cls, base_query.c.id == cls.id
)
if end:
query = query.filter(cls.operation_date <= str(end))
query = query.order_by(
cls.operation_date,
db.desc(cls.value),
db.desc(cls.label),
cls.id
)
return query
@classmethod
def query_category_incomes(cls, account, begin=None, end=None):
"""Return a query for categories with expenses, revenues and income for
a specific account and a specific time period."""
if isinstance(account, (int, str)):
account_id = account
else:
account_id = account.id
query = db.session.query(
cls.category.label('category'),
db.func.coalesce(
db.func.sum(
cls.value
).filter(
db.func.sign(cls.value) == -1
),
0
).label("expenses"),
db.func.coalesce(
db.func.sum(
cls.value
).filter(
db.func.sign(cls.value) == 1
),
0
).label("revenues"),
db.func.sum(cls.value).label("income")
).filter(
cls.account_id == account_id
).order_by(
cls.category
).group_by(
cls.category
)
if begin:
query = query.filter(cls.operation_date >= str(begin))
if end:
query = query.filter(cls.operation_date <= str(end))
return query
@classmethod
def query_daily_balances(cls, account, begin=None, end=None):
"""Get expenses, revenues, income and balance per day for a specific
range and a specific account."""
if isinstance(account, (int, str)):
account_id = account
else:
account_id = account.id
end = end if end else arrow.now().ceil('month').date()
query = db.session.query(
cls.operation_date,
db.func.coalesce(
db.func.sum(
cls.value
).filter(
db.func.sign(cls.value) == -1
).over(
partition_by=[cls.account_id, cls.operation_date],
),
0
).label("expenses"),
db.func.coalesce(
db.func.sum(
cls.value
).filter(
db.func.sign(cls.value) == 1
).over(
partition_by=[cls.account_id, cls.operation_date],
),
0
).label("revenues"),
db.func.coalesce(
db.func.sum(
cls.value
).over(
partition_by=[cls.account_id, cls.operation_date],
)
).label("income"),
db.func.coalesce(
db.func.sum(
cls.value
).over(
partition_by=cls.account_id,
order_by=cls.operation_date
)
).label("balance")
).distinct(
).order_by(
cls.operation_date
).filter(
cls.account_id == account_id
)
if begin:
base_query = query.subquery()
query = db.session.query(
base_query
).filter(
base_query.c.operation_date >= str(begin)
).order_by(
base_query.c.operation_date
)
if end:
query = query.filter(query.c.operation_date <= str(end))
elif end:
query = query.filter(cls.operation_date <= str(end))
return query