Hello, I'm trying to figure out a streamlined way to store some children
values that are stored in numpy arrays in Python. As example let's assume I
have a parent object that is a sensor that has some readings associated to
it:
class Sensor(object):
__tablename__ = 'sensor'
id = Column(Integer, primary_key=True),
name = Column(String)
readings = relationship("Reading", backref="sensor")
class Reading(object):
__tablename__ = 'reading'
id = Column(Integer, primary_key=True),
date = Column(DateTime),
voltage = Column(Float),
value = Column(Float),
sensor_id = Column(Integer, ForeignKey('sensor.id'))
What I would like to achieve is something like:
sensor = Sensor(name='Bedroom Sensor')
dates, voltages, values = get_sensor_data_from_somewhere() #<-- This
returns three numpy arrays respectively of datetime, float, float types,
same len!
sensor.readings['date'] = dates
sensor.readings['voltage'] = voltages
sensor.values['value'] = values
session.add(sensor)
Is this possible somehow? It's similar to the attribute_mapped_collection,
but I need to map three different keys to the three attributes of the
Reading object.
--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
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