class TransactionLog(db.Model):
__table_args__ = {'sqlite_autoincrement': True}
id = db.Column(db.Integer(), primary_key=True)
date = db.Column(db.DateTime())
transaction = db.relationship("InventoryAnalysis",
backref='log',
lazy='dynamic')
profile_recommendation = db.relationship("ProfileRecommendation",
backref='profile',
lazy='dynamic')
class MasterSkuList(db.Model):
__table_args__ = {'sqlite_autoincrement': True}
id = db.Column(db.Integer(), primary_key=True)
sku_id = db.Column(db.String(255))
analysis = db.relationship("InventoryAnalysis",
backref='sku',
lazy='dynamic')
simulation_summary_id = db.relationship("SimulationSummary",
backref='sim',
lazy='dynamic')
class ForecastType(db.Model):
__table_args__ = {'sqlite_autoincrement': True}
id = db.Column(db.Integer(), primary_key=True)
type = db.Column(db.String(10))
forecast_id = db.relationship("Forecast", backref='type', lazy='dynamic')
forecast_statistic_id = db.relationship("ForecastStatistics",
backref='details',
lazy='dynamic')
forecast_breakdown_id = db.relationship("ForecastBreakdown",
backref='breakdown',
lazy='dynamic')
class Simulation(db.Model):
__table_args__ = {'sqlite_autoincrement': True}
id = db.Column(db.Integer(), primary_key=True)
date = db.Column(db.DateTime())
runs = db.Column(db.Integer())
sim_summary_id = db.relationship("SimulationSummary",
backref='simulation',
lazy='dynamic')
class Currency(db.Model):
__table_args__ = {'sqlite_autoincrement': True}
id = db.Column(db.Integer(), primary_key=True)
fx = db.relationship("InventoryAnalysis",
backref='currency',
lazy='dynamic')
currency_code = db.Column(db.String(3))
country = db.Column(db.String(255))
symbol = db.Column(db.String(255))
class InventoryAnalysis(db.Model):
__table_args__ = {'sqlite_autoincrement': True}
id = db.Column(db.Integer(), primary_key=True)
sku_id = db.Column(db.Integer, db.ForeignKey('master_sku_list.id'))
abc_xyz_classification = db.Column(db.String(2))
standard_deviation = db.Column(db.Integer())
safety_stock = db.Column(db.Integer())
reorder_level = db.Column(db.Integer())
economic_order_quantity = db.Column(db.Integer())
demand_variability = db.Column(db.Integer())
average_orders = db.Column(db.Float())
shortages = db.Column(db.Integer())
excess_stock = db.Column(db.Integer())
reorder_quantity = db.Column(db.Integer())
economic_order_variable_cost = db.Column(db.Float())
unit_cost = db.Column(db.Numeric(12, 2))
revenue = db.Column(db.Float())
date = db.Column(db.DateTime())
safety_stock_rank = db.Column(db.Integer())
shortage_rank = db.Column(db.Integer())
excess_cost = db.Column(db.Numeric(12, 2))
percentage_contribution_revenue = db.Column(db.Float)
excess_rank = db.Column(db.Integer())
retail_price = db.Column(db.Numeric(18, 2))
gross_profit_margin = db.Column(db.Numeric(12, 2))
min_order = db.Column(db.Integer())
safety_stock_cost = db.Column(db.Numeric(18, 2))
revenue_rank = db.Column(db.Integer())
markup_percentage = db.Column(db.Float())
max_order = db.Column(db.Integer())
shortage_cost = db.Column(db.Numeric(18, 2))
quantity_on_hand = db.Column(db.Integer())
currency_id = db.Column(db.Integer, db.ForeignKey('currency.id'))
transaction_log_id = db.Column(db.Integer,
db.ForeignKey('transaction_log.id'))
orders_id = db.relationship("Orders", backref='demand', lazy='dynamic')
forecast_id = db.relationship("Forecast",
backref='forecasts',
lazy='dynamic')
forecast_breakdown_id = db.relationship("ForecastBreakdown",
backref='estimates',
lazy='dynamic')
inventory_turns = db.Column(db.Float())
traffic_light = db.Column(db.String(6))
recommendation_id = db.relationship("Recommendations",
backref='rec',
lazy='dynamic')
backlog = db.Column(db.Integer())
@property
def serialize(self):
"""Return object data in easily serializeable format"""
return {
'id':
self.sku_id,
'revenue':
self.revenue,
'classification':
self.abc_xyz_classification,
'eoq':
self.economic_order_quantity,
'Date':
convert_datetime(self.date),
'standard_deviation':
self.standard_deviation,
'safety_stock':
self.safety_stock,
'reorder_level':
self.reorder_level,
'economic_order_quantity':
self.economic_order_quantity,
'demand_variability':
self.demand_variability,
'average_orders':
round(self.average_orders),
'shortages':
self.shortages,
'excess_stock':
self.excess_stock,
'reorder_quantity':
float(self.reorder_quantity),
'economic_order_variable_cost':
float(self.economic_order_variable_cost),
'unit_cost':
float(self.unit_cost),
'safety_stock_rank':
self.safety_stock_rank,
'shortage_rank':
self.shortage_rank,
'excess_cost':
float(self.excess_cost),
'percentage_contribution_revenue':
float(self.percentage_contribution_revenue),
'excess_rank':
self.excess_rank,
'retail_price':
float(self.retail_price),
'gross_profit_margin':
float(self.gross_profit_margin),
'min_order':
self.min_order,
'safety_stock_cost':
float(self.safety_stock_cost),
'revenue_rank':
self.revenue_rank,
'markup_percentage':
self.markup_percentage,
'max_order':
self.max_order,
'shortage_cost':
float(self.shortage_cost),
'quantity_on_hand':
self.quantity_on_hand,
'inventory_turns':
self.inventory_turns
}