Skip to main content

Typing support for PyDAL

Project description

TypeDAL

PyPI - Version PyPI - Python Version
Code style: black License: MIT
su6 checks coverage.svg

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 proves 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"))
  • TypedRows: can be used as the return type of .select() and subscribed with the actual table class, so e.g. rows: TypedRows[SomeTable]. If you're lazy, list[SomeTable] works fine too but that misses hinting possibilities such as .first().

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.

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 pydal alternative typedal typedal alternative(s) ...
Setup
from pydal import DAL, Field

db = DAL(...)
from src.typedal import TypeDAL, TypedTable, TypedField, TypedRows
from src.typedal.fields import TextField
from typing import Optional

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")
db.table_name.insert(fieldname="value")
TableName.insert(fieldname="value")
(quick) Select
rows = db(db.table_name).select()  # -> Any (Rows)
row = db.table_name(id=1)  # -> Any (Row)
rows: TypedRows[TableName] = db(db.table_name).select()  # -> TypedRows[TableName]
row: TableName = db.table_name(id=1)  # -> TableName
rows: TypedRows[TableName] = db(TableName).select()  # -> TypedRows[TableName]
row = TableName(id=1)  # -> TableName

All Types

See 2. Defining Tables

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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

typedal-2.0.0b7.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

typedal-2.0.0b7-py3-none-any.whl (29.5 kB view details)

Uploaded Python 3

File details

Details for the file typedal-2.0.0b7.tar.gz.

File metadata

  • Download URL: typedal-2.0.0b7.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.25.0

File hashes

Hashes for typedal-2.0.0b7.tar.gz
Algorithm Hash digest
SHA256 f66b1e796d21a9bf23b58cc58bdf8fcb2453569bdc4bb61c5d3a085917673f76
MD5 d46be74c19c0dcee1674c037461673ff
BLAKE2b-256 c1887d830d8d67253261896fa07034861fc1721ab8df052ab2def96e4cec1bad

See more details on using hashes here.

Provenance

File details

Details for the file typedal-2.0.0b7-py3-none-any.whl.

File metadata

  • Download URL: typedal-2.0.0b7-py3-none-any.whl
  • Upload date:
  • Size: 29.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.25.0

File hashes

Hashes for typedal-2.0.0b7-py3-none-any.whl
Algorithm Hash digest
SHA256 487be8e98bd4b0801343dbe33bd20c6bd9bbe5b33086d4c19cd1f72000717d20
MD5 1b72d5f138dc8c14139cbc99593130e4
BLAKE2b-256 92105e1064c0bf394abf7867d229c2b238f00410e8231dc740569e6f28ddc771

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page