I have an issue in Flask application with serialization model object that has a many to many relationship with extra field stored in association table. I would like to have a serialized data looking like so:
{
"id": "123",
"name": "name",
"mobile": "phone number",
"interest": [1, 2, 3]
"_embedded": {
"interest": [
{
"id": 1,
"name": "ECONOMIC",
"active": true,
},
{
"id": 2,
"name": "POETRY",
"active": true,
},
{
"id": 3,
"name": "SPORT",
"active": false,
},
]
}
}
For now I managed to prepare a neccessary models as below:
class OwnerInterests(db.Model):
owner_id = db.Column(db.Integer, db.ForeignKey('owners.id'), primary_key=True)
interest_id = db.Column(db.Integer, db.ForeignKey('interests.id'), primary_key=True)
active = db.Column(db.Boolean)
interest = db.relationship('Interests', back_populates='owners')
owner = db.relationship('Owners', back_populates='interests')
class Owners(db.Model):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String)
mobile = db.Column(db.String)
interests = db.relationship('OwnersInterests', back_populates='owner')
class Interests(db.Model):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String)
owners = db.relationship('OwnersInterests', back_populates='interest')
but now I'm wondering about approach, how to prepare a sqlalchemy query with marshmallow schema. Any thoughts?
EDIT :
My current marshmallow schema looks like:
class InterestSchema(ma.ModelSchema):
class Meta:
model = Interests
exclude = ('owners',)
class OwnerSchema(ma.ModelSchema):
interests = ma.Nested(InterestSchema, many=True)
class Meta:
model = Owners
This schema gives you something quite similar to your specification:
from marshmallow import Schema, fields
class InterestSchema(Schema):
class Meta:
fields = ('id', 'name')
ordered = True
class OwnerInterestSchema(Schema):
interest = fields.Nested(InterestSchema)
class Meta:
fields = ('id', 'interest', 'active')
ordered = True
class OwnerSchema(Schema):
interests = fields.Nested(OwnerInterestSchema, many=True)
class Meta:
fields = ('id', 'name', 'mobile', 'interests')
ordered = True
You can then serialise your data like this (note that my model doesn't have exactly the same name as yours):
>>> from app.serialisation import OwnerSchema
>>> from app.models import Owner
>>> data = OwnerSchema().dump(Owner.query.get(1))
>>> from marshmallow import pprint
>>> pprint(data)
{"id": 1, "name": "John", "mobile": "07123456789", "interests": [{"interest": {"id": 1, "name": "Economics"}, "active": true}, {"interest": {"id": 2, "name": "Poetry"}, "active": true}, {"interest": {"id": 3, "name": "Sport"}, "active": false}]}
Let me just indent that output so you can see what's going on:
{
"id": 1,
"name": "John",
"mobile": "07123456789",
"interests": [
{
"interest": {
"id": 1,
"name": "Economics"
},
"active": true
},
{
"interest": {
"id": 2,
"name": "Poetry"
},
"active": true
},
{
"interest": {
"id": 3,
"name": "Sport"
},
"active": false
}
]
}
You can adapt this to use the model-plus-exclude paradigm if you want. And if you really want that "_embedded"
field in your JSON, you probably need a custom field, as described here.
You could also use custom fields to flatten your interests and put the "active"
field on the same level as "id"
and "name"
, but I think that would be misleading.
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