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Typing support for PyDAL

Project description

TypeDAL

PyPI - Version PyPI - Python Version
Code style: black License: MIT
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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().

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: str
    otherfield: 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

pydal typedal (native python type) typedal (using TypedField) typedal (using specific Field)
Field('name', 'string') name: str name = TypedField(str) name = StringField()
Field('name', 'text') × name = TypedField(str, type="text") name = TextField()
Field('name', 'blob') name: bytes name = TypedField(bytes) name = BlobField()
Field('name', 'boolean') name: bool name = TypedField(bool) name = BooleanField()
Field('name', 'integer') name: int name = TypedField(int) name = IntegerField()
Field('name', 'double') name: float name = TypedField(float) name = DoubleField()
Field('name', 'decimal(n,m)') name: decimal.Decimal name = TypedField(decimal.Decimal) name = DecimalField(n=n, m=m)
Field('name', 'date') name: datetime.date name = TypedField(datetime.date) name = DateField()
Field('name', 'time') name: datetime.time name = TypedField(datetime.time) name = TimeField()
Field('name', 'datetime') name: datetime.datetime name = TypedField(datetime.datetime) name = DatetimeField()
Field('name', 'password') × name = TypedField(str, type="password") name = PasswordField()
Field('name', 'upload') × name = TypedField(str, type="upload) name = UploadField()
Field('name', 'reference <table>') name: Table name = TypedField(Table) name = ReferenceField('table')
Field('name', 'list:string') name: list[str] name = TypedField(list[str]) name = ListStringField()
Field('name', 'list:integer') name: list[int] name = TypedField() name = ListIntegerField()
Field('name', 'list:reference <table>') name: list[Table] name = TypedField() name = ListReferenceField('table')
Field('name', 'json') × name = TypedField() name = JSONField()
Field('name', 'bigint') × name = TypedField() name = BigintField()
Field('name', 'big-id') × × ×
Field('name', 'big-reference') × × ×

Making a field required/optional

pydal typedal (native python type) typedal (using TypedField) typedal (using specific Field)
Field('name', 'string', required=True) name: str name = TypedField(str, required=True) name = StringField(required=True)
Field('name', 'text', required=False) name: typing.Optional[str] or
name: str | None
name = TypedField(str, type="text", required=False) name = StringField(required=False)

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.

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