Here we will see how to work with SQLAlchemy ORM. So, orion_ could be the name (from the name column in the owners table) of this pet's owner.Īnd the ORM will do all the work to get the information from the corresponding table owners when you try to access it from your pet object.Ĭommon ORMs are for example: Django-ORM (part of the Django framework), SQLAlchemy ORM (part of SQLAlchemy, independent of framework) and Peewee (independent of framework), among others. This way, you could also have an attribute orion_cat.owner and the owner would contain the data for this pet's owner, taken from the table owners. These ORMs also have tools to make the connections or relations between tables or entities. And the value of that attribute could be, e.g. With an ORM, you normally create a class that represents a table in a SQL database, each attribute of the class represents a column, with a name and a type.įor example a class Pet could represent a SQL table pets.Īnd each instance object of that class represents a row in the database.įor example an object orion_cat (an instance of Pet) could have an attribute orion_cat.type, for the column type. ORMs ¶įastAPI works with any database and any style of library to talk to the database.Ī common pattern is to use an "ORM": an "object-relational mapping" library.Īn ORM has tools to convert (" map") between objects in code and database tables (" relations"). The FastAPI specific code is as small as always. Notice that most of the code is the standard SQLAlchemy code you would use with any framework. OAuth2 with Password (and hashing), Bearer with JWT tokensĬreate SQLAlchemy models from the Base classĬreate Pydantic models / schemas for reading / returning
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