sqlfixtures 0.0.2
Create test fixtures against an SQL database
Requires Python: >=3.10

SQLFixtures
===========

Create database entries for your test scripts.

Example usage
---------------

First, set up a SQLite database. This should work with almost any SQL
database. We're using sqlite3 because it is built in.

.. code:: python

    import sqlite3  # or any db-api compatible database

    conn = sqlite3.connect(":memory:")
    conn.execute(
        """
        CREATE TABLE users (id INTEGER PRIMARY KEY, name text, active int)
        """
    )
    conn.execute(
        """
        CREATE TABLE groups (id INTEGER PRIMARY KEY, name text)
        """
    )
    conn.execute(
        """
        CREATE TABLE group_members (user_id INT, group_id INT)
        """
    )


Now import ``sqlfixtures`` and create a ``sqlfixtures.SQLFixture`` object:

.. code:: python

    import sqlfixtures
    fix = sqlfixtures.SQLFixture(conn)

Inserting data from dicts is the simplest way to start using ``sqlfixtures``:

.. code:: python

    # Insert rows
    with fix.insert("users", {"name": "Angus"}) as user:
        assert user.name == "Angus"
        print("Inserted user", user)

This outputs::

    Inserted user {'id': 1, 'name': 'Angus', 'active': None}

Updating works in a similar way:

.. code:: python

    with fix.insert("users", {"name": "Angus"}) as user:
        assert user.name == "Angus"
        with fix.update("users", {"name": "Alice"}, where={"id": user.id}) as user:
            assert user.name == "Alice"
            print(user)

Outputting::

    {'id': 1, 'name': 'Alice', 'active': None}


The declarative API allows more expressivity:

.. code:: python

    angus = sqlfixtures.Insertable("users", name="angus", active=1)
    with sqlfixtures.apply_to_fixture(fix, [angus]) as users:
        assert users[0].name == "Angus"
        print(user)

::

    [{'id': 1, 'name': 'Angus', 'active': 1}]

Once an insertable object has been created it can be copied and customized just
by calling it:

.. code:: python
    
    User = sqlfixtures.Insertable("users", active=1)
    angus = User(name="Angus")
    alice = User(name="Alice")
    with sqlfixtures.apply_to_fixture(fix, [angus, alice]) as users:
        assert users[0].name == "Angus"
        assert users[1].name == "Alice"
        print(users)

::

    [{'id': 1, 'name': 'Angus', 'active': 1}, {'id': 2, 'name': 'Alice', 'active': 1}]

It can be more convenient to pass the list of Insertables as a dict:

.. code:: python
    
    with sqlfixtures.apply_to_fixture(fix, {"angus": angus, "alice": alice}) as users:
        print(users)

::

    {
        "angus": {'id': 1, 'name': 'Angus', 'active': 1},
        "alice": {'id': 2, 'name': 'Alice', 'active': 1}
    }


The declarative API allows you to reference columns that are populated by the
database, for example using an auto-increment ``id`` field as a foreign key in
another table:

.. code:: python

    administrators = sqlfixtures.Insertable("groups", name="administrators")
    alice_is_admin = sqlfixtures.Insertable(
        "group_members", user_id=alice.id, group_id=administrators.id
    )
    with sqlfixtures.apply_to_fixture(fix, [alice, administrators, alice_is_admin]) as rows:
        print(rows)

::

    [
        {'id': 1, 'name': 'Alice', 'active': 1},
        {'id': 1, 'name': 'administrators'},
        {'user_id': 1, 'group_id': 1}
    ]

Values can also be set from callable objects:

.. code:: python

    names = iter(["alice", "bob", "carol"])
    User = sqlfixtures.Insertable("users", active=1, name=lambda: next(names))
    with sqlfixtures.apply_to_fixture(fix, [User(), User(), User()]) as users:
        assert users[0].name == "alice"
        assert users[1].name == "bob"
        assert users[2].name == "carol"
        print(users)

::

    [
        {'id': 1, 'name': 'alice', 'active': 1},
        {'id': 2, 'name': 'bob', 'active': 1},
        {'id': 3, 'name': 'carol', 'active': 1}
    ]