pgalchemy 0.1.3

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pg-rls-sqlalchemy

Work in progress.

SQLAlchemy and Alembic support for Postgres features like:

• Row Level Security (RLS)
• Policies

Built on top of alembic_utils but provides a more usable interface and a few missing features

Installation

pip install pg-rls-sqlalchemy

OR

poetry add pgalchemy

Policy and Row Level Security

Using RLS BaseModel

Recommended most projects. This is for projects with majority of tables using RLS which will also be almost all new projects using this library.

from sqlalchemy.orm import declarative_base
from pgalchemy import Policy, PolicyType, PolicyCommands, rls_base

BaseModel = rls_base(declarative_base())

class MyModel(BaseModel):
    ...
Policy("pol_my_models_select_primary", on=MyModel, as_=PolicyType.PERMISSIVE, for_=PolicyCommands.SELECT, using="user_id == auth.uid()")
Policy("pol_my_models_delete_primary", on=MyModel,as_=PolicyType.PERMISSIVE, for_=PolicyCommands.DELETE, using="user_id == auth.uid()")
Policy("pol_my_models_update_primary", on=MyModel,as_=PolicyType.PERMISSIVE, for_=PolicyCommands.UPDATE, using="user_id == auth.uid()", with_check="user_id == auth.uid()")
Policy("pol_my_models_update_primary", on=MyModel,as_=PolicyType.PERMISSIVE, for_=PolicyCommands.INSERT, with_check="user_id == auth.uid()")

Using RLS Decorator

Only intended for projects with majority of tables without RLS enabled. Usually only for existing projects with most tables not protected using RLS that are only using RLS for a niche use case

This is not recommended for other use cases as it makes it easy for a developer to forget to enable RLS and expose a security vulnerability.

from sqlalchemy.orm import declarative_base
from pgalchemy import , rls_base, Policy, PolicyType, PolicyCommands

BaseModel = declarative_base()

@rls()
# Equivalent to:
# @policy(Policy("pol_my_models_primary", as_=PolicyType.PERMISSIVE, for_=PolicyCommands.ALL, using="user_id == auth.uid()", with_check="user_id == auth.uid()"))
class MyModel(BaseModel):
    ...
Policy("pol_my_models_select_primary", on=MyModel, as_=PolicyType.PERMISSIVE, for_=PolicyCommands.SELECT, using="user_id == auth.uid()")
Policy("pol_my_models_delete_primary", on=MyModel,as_=PolicyType.PERMISSIVE, for_=PolicyCommands.DELETE, using="user_id == auth.uid()")
Policy("pol_my_models_update_primary", on=MyModel,as_=PolicyType.PERMISSIVE, for_=PolicyCommands.UPDATE, using="user_id == auth.uid()", with_check="user_id == auth.uid()")
Policy("pol_my_models_update_primary", on=MyModel,as_=PolicyType.PERMISSIVE, for_=PolicyCommands.INSERT, with_check="user_id == auth.uid()")

Functions

Using Python Functions

from pgalchemy.functions import sql_function
from pgalchemy.types import ReturnTypedExpression
@sql_function(schema='test')
def get_thing(id: int):
    return ReturnTypedExpression[MyModel](
        select(MyModel).where(MyModel.id == id)
    )

Using SQL File with empty python function

from pgalchemy.functions import sql_function
@sql_function(schema='test', path='../functions/get_thing.sql')
def get_thing(id: int) -> MyModel:
    pass

Using SQL File with metadata

import inspect
from pgalchemy.functions import Function

Function(
    schema='test', 
    path='../functions/get_thing.sql', 
    returns=MyModel,
    parameters=[inspect.Parameter(name='id', annotation=int)]
)

Views

Using Python Functions

from pgalchemy.views import sql_view
from pgalchemy.types import ReturnTypedExpression
@sql_view(schema='test')
def my_view():
    return select(MyModel).where(MyModel.id == id)

Using SQL File

import inspect
from pgalchemy.views import View

View(
    schema='test', 
    path='../views/my_view.sql', 
)