Alexander Hess
fdcc93a1ea
- use SQLAlchemy (and PostgreSQL) to model the ORM layer
- add the following models:
+ Address => modelling all kinds of addresses
+ City => model the three target cities
+ Courier => model the UDP's couriers
+ Customer => model the UDP's customers
+ Order => model the orders received by the UDP
+ Restaurant => model the restaurants active on the UDP
- so far, the emphasis lies on expression the Foreign Key
and Check Constraints that are used to validate the assumptions
inherent to the cleanded data
- provide database-independent unit tests with 100% coverage
- provide additional integration tests ("e2e") that commit data to
a PostgreSQL instance to validate that the constraints work
- adapt linting rules a bit
17 lines
494 B
Python
17 lines
494 B
Python
"""Provide connection utils for the ORM layer."""
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import sqlalchemy as sa
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from sqlalchemy import engine
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from sqlalchemy import orm
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import urban_meal_delivery
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def make_engine() -> engine.Engine: # pragma: no cover
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"""Provide a configured Engine object."""
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return sa.create_engine(urban_meal_delivery.config.DATABASE_URI)
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def make_session_factory() -> orm.Session: # pragma: no cover
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"""Provide a configured Session factory."""
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return orm.sessionmaker(bind=make_engine())
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