TypeDAL 4.4.5

Typing support for PyDAL

TypeDAL

Typing support for PyDAL. This package aims to improve the typing support for PyDAL. By using classes instead of the define_table method, type hinting the result of queries can improve the experience while developing. In the background, the queries are still generated and executed by pydal itself, this package only provides some logic to properly pass calls from class methods to the underlying db.define_table pydal Tables.

• TypeDAL is the replacement class for DAL that manages the code on top of DAL.
• TypedTable must be the parent class of any custom Tables you define (e.g. class SomeTable(TypedTable))
• TypedField can be used instead of Python native types when extra settings (such as default) are required ( e.g. name = TypedField(str, default="John Doe")). It can also be used in an annotation (name: TypedField[str]) to improve editor support over only annotating with str.
• TypedRows: can be used as the return type annotation of pydal's .select() and subscribed with the actual table class, so e.g. rows: TypedRows[SomeTable] = db(...).select(). When using the QueryBuilder, a TypedRows instance is returned by .collect().

Version 2.0 also introduces more ORM-like funcionality. Most notably, a Typed Query Builder that sees your table classes as models with relationships to each other. See 3. Building Queries for more details.

CLI

The Typedal CLI provides a convenient interface for generating SQL migrations for edwh-migrate from PyDAL or TypeDAL configurations using pydal2sql. It offers various commands to streamline database management tasks.

Usage

typedal --help

Options

• --show-config: Toggle to show configuration details. Default is no-show-config.
• --version: Toggle to display version information. Default is no-version.
• --install-completion: Install completion for the current shell.
• --show-completion: Show completion for the current shell, for copying or customization.
• --help: Display help message and exit.

Commands

• cache.clear: Clear expired items from the cache.
• cache.stats: Show caching statistics.
• migrations.fake: Mark one or more migrations as completed in the database without executing the SQL code.
• migrations.generate: Run pydal2sql based on the TypeDAL configuration.
• migrations.run: Run edwh-migrate based on the TypeDAL configuration.
• setup: Interactively setup a [tool.typedal] entry in the local pyproject.toml.

Configuration

TypeDAL and its CLI can be configured via pyproject.toml.
See 6. Migrations for more information about configuration.

TypeDAL for PyDAL users - Quick Overview

Below you'll find a quick overview of translation from pydal to TypeDAL.
For more info, see the docs.

---

Translations from pydal to typedal

Description	pydal	typedal	typedal alternative(s)	...
Setup	from pydal import DAL, Field db = DAL(...)	from typedal import TypeDAL, TypedTable, TypedField db = TypeDAL(...)
Table Definitions	db.define_table("table_name", Field("fieldname", "string", required=True), Field("otherfield", "float"), Field("yet_another", "text", default="Something") )	@db.define class TableName(TypedTable): fieldname: str otherfield: float | None yet_another = TypedField(str, type="text", default="something", required=False)	import typing class TableName(TypedTable): fieldname: TypedField[str] otherfield: TypedField[typing.Optional[float]] yet_another = TextField(default="something", required=False) db.define(TableName)
Insert	db.table_name.insert(fieldname="value")	TableName.insert(fieldname="value")	# the old syntax is also still supported: db.table_name.insert(fieldname="value")
(quick) Select	# all: all_rows = db(db.table_name).select() # -> Any (Rows) # some: rows = db((db.table_name.id > 5) & (db.table_name.id < 50)).select(db.table_name.id) # one: row = db.table_name(id=1) # -> Any (Row)	# all: all_rows = TableName.collect() # or .all() # some: # order of select and where is interchangable here rows = TableName.select(Tablename.id).where(TableName.id > 5).where(TableName.id < 50).collect() # one: row = TableName(id=1) # or .where(...).first()	# you can also still use the old syntax and type hint on top of it; # all: all_rows: TypedRows[TableName] = db(db.table_name).select() # some: rows: TypedRows[TableName] = db((db.table_name.id > 5) & (db.table_name.id < 50)).select(db.table_name.id) # one: row: TableName = db.table_name(id=1)

All Types

See 2. Defining Tables

Helpers

TypeDAL provides some utility functions to interact with the underlying pyDAL objects:

• get_db(TableName):
  Retrieve the DAL instance associated with a given TypedTable or pyDAL Table.

• get_table(TableName):
  Access the original PyDAL Table from a TypedTable instance (db.table_name).

• get_field(TableName.fieldname):
  Get the pyDAL Field from a TypedField. This ensures compatibility when interacting directly with PyDAL.

These helpers are useful for scenarios where direct access to the PyDAL objects is needed while still using TypeDAL. An example of this is when you need to do a db.commit() but you can't import db directly:

from typedal.helpers import get_db #, get_table, get_field

MyTable.insert(...)
db = get_db(MyTable)
db.commit() # this is usually done automatically but sometimes you want to manually commit.

Caveats

• This package depends heavily on the current implementation of annotations (which are computed when the class is defined). PEP 563 (Postponed Evaluation of Annotations, accepted) aims to change this behavior ( and from __future__ import annotations already does) in a way that this module currently can not handle: all annotations are converted to string representations. This makes it very hard to re-evaluate the annotation into the original type, since the variable scope is lost (and thus references to variables or other classes are ambiguous or simply impossible to find).
• TypedField limitations; Since pydal implements some magic methods to perform queries, some features of typing will not work on a typed field: typing.Optional or a union (Field() | None) will result in errors. The only way to make a typedfield optional right now, would be to set required=False as an argument yourself. This is also a reason why typing.get_type_hints is not a solution for the first caveat.