Declaring Models
****************

Generally Flask-SQLAlchemy behaves like a properly configured
declarative base from the "declarative" extension.  As such we
recommend reading the SQLAlchemy docs for a full reference.  However
the most common use cases are also documented here.

Things to keep in mind:

* The baseclass for all your models is called "db.Model".  It's stored
  on the SQLAlchemy instance you have to create.  See Quickstart for
  more details.

* Some parts that are required in SQLAlchemy are optional in Flask-
  SQLAlchemy.  For instance the table name is automatically set for
  you unless overridden.  It's derived from the class name converted
  to lowercase and with “CamelCase” converted to “camel_case”.  To
  override the table name, set the "__tablename__" class attribute.


Simple Example
==============

A very simple example:

   class User(db.Model):
       id = db.Column(db.Integer, primary_key=True)
       username = db.Column(db.String(80), unique=True, nullable=False)
       email = db.Column(db.String(120), unique=True, nullable=False)

       def __repr__(self):
           return '<User %r>' % self.username

Use "Column" to define a column.  The name of the column is the name
you assign it to.  If you want to use a different name in the table
you can provide an optional first argument which is a string with the
desired column name.  Primary keys are marked with "primary_key=True".
Multiple keys can be marked as primary keys in which case they become
a compound primary key.

The types of the column are the first argument to "Column".  You can
either provide them directly or call them to further specify them
(like providing a length).  The following types are the most common:

+--------------------------------------------------+---------------------------------------+
| "Integer"                                        | an integer                            |
+--------------------------------------------------+---------------------------------------+
| "String(size)"                                   | a string with a maximum length        |
|                                                  | (optional in some databases, e.g.     |
|                                                  | PostgreSQL)                           |
+--------------------------------------------------+---------------------------------------+
| "Text"                                           | some longer unicode text              |
+--------------------------------------------------+---------------------------------------+
| "DateTime"                                       | date and time expressed as Python     |
|                                                  | "datetime" object.                    |
+--------------------------------------------------+---------------------------------------+
| "Float"                                          | stores floating point values          |
+--------------------------------------------------+---------------------------------------+
| "Boolean"                                        | stores a boolean value                |
+--------------------------------------------------+---------------------------------------+
| "PickleType"                                     | stores a pickled Python object        |
+--------------------------------------------------+---------------------------------------+
| "LargeBinary"                                    | stores large arbitrary binary data    |
+--------------------------------------------------+---------------------------------------+


One-to-Many Relationships
=========================

The most common relationships are one-to-many relationships.  Because
relationships are declared before they are established you can use
strings to refer to classes that are not created yet (for instance if
"Person" defines a relationship to "Address" which is declared later
in the file).

Relationships are expressed with the "relationship()" function.
However the foreign key has to be separately declared with the
"ForeignKey" class:

   class Person(db.Model):
       id = db.Column(db.Integer, primary_key=True)
       name = db.Column(db.String(50), nullable=False)
       addresses = db.relationship('Address', backref='person', lazy=True)

   class Address(db.Model):
       id = db.Column(db.Integer, primary_key=True)
       email = db.Column(db.String(120), nullable=False)
       person_id = db.Column(db.Integer, db.ForeignKey('person.id'),
           nullable=False)

What does "db.relationship()" do? That function returns a new property
that can do multiple things. In this case we told it to point to the
"Address" class and load multiple of those.  How does it know that
this will return more than one address?  Because SQLAlchemy guesses a
useful default from your declaration.  If you would want to have a
one-to-one relationship you can pass "uselist=False" to
"relationship()".

Since a person with no name or an email address with no address
associated makes no sense, "nullable=False" tells SQLAlchemy to create
the column as "NOT NULL". This is implied for primary key columns, but
it's a good idea to specify it for all other columns to make it clear
to other people working on your code that you did actually want a
nullable column and did not just forget to add it.

So what do "backref" and "lazy" mean?  "backref" is a simple way to
also declare a new property on the "Address" class.  You can then also
use "my_address.person" to get to the person at that address.  "lazy"
defines when SQLAlchemy will load the data from the database:

* "'select'" / "True" (which is the default, but explicit is better
  than implicit) means that SQLAlchemy will load the data as necessary
  in one go using a standard select statement.

* "'joined'" / "False" tells SQLAlchemy to load the relationship in
  the same query as the parent using a "JOIN" statement.

* "'subquery'" works like "'joined'" but instead SQLAlchemy will use a
  subquery.

* "'dynamic'" is special and can be useful if you have many items and
  always want to apply additional SQL filters to them. Instead of
  loading the items SQLAlchemy will return another query object which
  you can further refine before loading the items. Note that this
  cannot be turned into a different loading strategy when querying so
  it's often a good idea to avoid using this in favor of "lazy=True".
  A query object equivalent to a dynamic "user.addresses" relationship
  can be created using "Address.query.with_parent(user)" while still
  being able to use lazy or eager loading on the relationship itself
  as necessary.

How do you define the lazy status for backrefs?  By using the
"backref()" function:

   class Person(db.Model):
       id = db.Column(db.Integer, primary_key=True)
       name = db.Column(db.String(50), nullable=False)
       addresses = db.relationship('Address', lazy='select',
           backref=db.backref('person', lazy='joined'))


Many-to-Many Relationships
==========================

If you want to use many-to-many relationships you will need to define
a helper table that is used for the relationship.  For this helper
table it is strongly recommended to *not* use a model but an actual
table:

   tags = db.Table('tags',
       db.Column('tag_id', db.Integer, db.ForeignKey('tag.id'), primary_key=True),
       db.Column('page_id', db.Integer, db.ForeignKey('page.id'), primary_key=True)
   )

   class Page(db.Model):
       id = db.Column(db.Integer, primary_key=True)
       tags = db.relationship('Tag', secondary=tags, lazy='subquery',
           backref=db.backref('pages', lazy=True))

   class Tag(db.Model):
       id = db.Column(db.Integer, primary_key=True)

Here we configured "Page.tags" to be loaded immediately after loading
a Page, but using a separate query.  This always results in two
queries when retrieving a Page, but when querying for multiple pages
you will not get additional queries.

The list of pages for a tag on the other hand is something that's
rarely needed. For example, you won't need that list when retrieving
the tags for a specific page.  Therefore, the backref is set to be
lazy-loaded so that accessing it for the first time will trigger a
query to get the list of pages for that tag.  If you need to apply
further query options on that list, you could either switch to the
"'dynamic'" strategy - with the drawbacks mentioned above - or get a
query object using "Page.query.with_parent(some_tag)" and then use it
exactly as you would with the query object from a dynamic
relationship.
