pytest-pgsql 1.1.2

Manipulating Time

Both database fixtures use freezegun to allow you to freeze time inside a block of code. You can use it in a variety of ways:

As a context manager:

with postgresql.time.freeze('December 31st 1999 11:59:59 PM') as freezer:
    # Time is frozen inside the database *and* Python.
    now = postgresql_db.session.execute('SELECT NOW()').scalar()
    assert now.date() == datetime.date(1999, 12, 31)
    assert datetime.date.today() == datetime.date(1999, 12, 31)

    # Advance time by 1 second so we roll over into the new year
    freezer.tick()

    now = postgresql_db.session.execute('SELECT NOW()').scalar()
    assert now.date() == datetime.date(2000, 1, 1)

As a decorator:

@pytest_pgsql.freeze_time(datetime.datetime(2038, 1, 19, 3, 14, 7))
def test_freezing(postgresql_db):
    today = postgresql_db.session.execute(
        "SELECT EXTRACT('YEAR' FROM CURRENT_DATE)").scalar()
    assert today.year == 2038
    assert datetime.date.today() == datetime.date(2038, 1, 19)

And more!

General-Purpose Functions

postgresql_db and transacted_postgresql_db provide some general-purpose functions to ease test setup and execution.

• load_csv() loads a CSV file into an existing table.

• run_sql_file() executes a SQL script, optionally performing variable binding.

Extension Management

Since version 9.1 Postgres supports extensions. You can check for the presence of and install extensions like so:

>>> postgresql_db.is_extension_available('asdf')  # Can I install this extension?
False
>>> postgresql_db.is_extension_available('uuid-ossp')  # Maybe this one is supported...
True
>>> postgresql_db.install_extension('uuid-ossp')
True
>>> postgresql_db.is_extension_installed('uuid-ossp')
True

install_extension() has additional arguments to allow control over which schema the extension is installed in, what to do if the extension is already installed, and so on. See the documentation for descriptions of these features.

Schemas and Tables

You can create table schemas by calling create_schema() like so:

postgresql_db.create_schema('foo')          # Create one schema
postgresql_db.create_schema('foo', 'bar')   # Create multiple ones

To quickly see if a table schema exists, call has_schema():

>>> postgresql_db.has_schema('public')
True

Similarly, you can create tables in the database with create_table(). You can pass SQLAlchemy Table instances or ORM declarative model classes:

# Just a regular Table.
my_table = Table('abc', MetaData(), Column('def', Integer()))

# A declarative model works too.
class MyORMModel(declarative_base()):
    id = Column(Integer, primary_key=True)

# Pass a variable amount of tables to create
postgresql_db.create_table(my_table, MyORMModel)