Automatic model code generator for SQLAlchemy 2.0
Project description
This is an fork project from https://github.com/agronholm/sqlacodegen
This is a tool that reads the structure of an existing database and generates the appropriate SQLAlchemy model code, using the declarative style if possible.
This tool was written as a replacement for sqlautocode, which was suffering from several issues (including, but not limited to, incompatibility with Python 3 and the latest SQLAlchemy version).
Features
Supports SQLAlchemy 2.0
Produces declarative code that almost looks like it was hand written
Produces PEP 8 compliant code
Accurately determines relationships, including many-to-many, one-to-one
Automatically detects joined table inheritance
Excellent test coverage
Installation
To install, do:
pip install sqlacodegen_v2
To include support for the PostgreSQL CITEXT extension type (which should be considered as tested only under a few environments) specify the citext extra:
pip install sqlacodegen_v2[citext]
Quickstart
At the minimum, you have to give sqlacodegen a database URL. The URL is passed directly to SQLAlchemy’s create_engine() method so please refer to SQLAlchemy’s documentation for instructions on how to construct a proper URL.
Examples:
sqlacodegen_v2 postgresql:///some_local_db sqlacodegen_v2 --generator tables mysql+pymysql://user:password@localhost/dbname sqlacodegen_v2 --generator dataclasses sqlite:///database.db
To see the list of generic options:
sqlacodegen_v2 --help
Available generators
The selection of a generator determines the
The following built-in generators are available:
tables (only generates Table objects, for those who don’t want to use the ORM)
declarative (the default; generates classes inheriting from declarative_base()
declarative-dataclasses (generate declarative model with Superclass MappedAsDataclass)
dataclasses (generates dataclass-based models; v1.4+ only)
sqlmodels (generates model classes for SQLModel)
Generator-specific options
The following options can be turned on by passing them using --option (can be used multiple times):
tables
noconstraints: ignore constraints (foreign key, unique etc.)
nocomments: ignore table/column comments
noindexes: ignore indexes
declarative
all the options from tables
use_inflect: use the inflect library when naming classes and relationships (turning plural names into singular; see below for details)
nojoined: don’t try to detect joined-class inheritance (see below for details)
nobidi: generate relationships in a unidirectional fashion, so only the many-to-one or first side of many-to-many relationships gets a relationship attribute, as on v2.X
dataclasses
all the options from declarative
sqlmodel
all the options from declarative
Model class generators
The code generators that generate classes try to generate model classes whenever possible. There are two circumstances in which a Table is generated instead:
the table has no primary key constraint (which is required by SQLAlchemy for every model class)
the table is an association table between two other tables (see below for the specifics)
Model class naming logic
By default, table names are converted to valid PEP 8 compliant class names by replacing all characters unsuitable for Python identifiers with _. Then, each valid parts (separated by underscores) are title cased and then joined together, eliminating the underscores. So, example_name becomes ExampleName.
If the use_inflect option is used, the table name (which is assumed to be in English) is converted to singular form using the “inflect” library. For example, sales_invoices becomes SalesInvoice. Since table names are not always in English, and the inflection process is far from perfect, inflection is disabled by default.
Relationship detection logic
Relationships are detected based on existing foreign key constraints as follows:
many-to-one: a foreign key constraint exists on the table
one-to-one: same as many-to-one, but a unique constraint exists on the column(s) involved
many-to-many: (not implemented on the sqlmodel generator) an association table is found to exist between two tables
A table is considered an association table if it satisfies all of the following conditions:
has exactly two foreign key constraints
all its columns are involved in said constraints
Relationship naming logic
Relationships are typically named based on the table name of the opposite class. For example, if a class has a relationship to another class with the table named companies, the relationship would be named companies (unless the use_inflect option was enabled, in which case it would be named company in the case of a many-to-one or one-to-one relationship).
A special case for single column many-to-one and one-to-one relationships, however, is if the column is named like employer_id. Then the relationship is named employer due to that _id suffix.
For self referential relationships, the reverse side of the relationship will be named with the _reverse suffix appended to it.
Customizing code generation logic
If the built-in generators with all their options don’t quite do what you want, you can customize the logic by subclassing one of the existing code generator classes. Override whichever methods you need, and then add an entry point in the sqlacodegen.generators namespace that points to your new class. Once the entry point is in place (you typically have to install the project with pip install), you can use --generator <yourentrypoint> to invoke your custom code generator.
For examples, you can look at sqlacodegen’s own entry points in its pyproject.toml.
Customizing Workflow
You may import generate_models directly from sqlacodegen_v2
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