prefab-classes 0.7.6

Boilerplate Generator for Classes

PrefabClasses - Python Class Boilerplate Generator

Writes the class boilerplate code so you don't have to. Yet another variation on attrs/dataclasses.

Either written lazily when you first access the methods or eagerly when the class is compiled into a .pyc. Can optionally be made to rewrite .py source code with plain classes.

The dynamic method of evaluating lazily is more flexible, while the compiled method is faster (once the .pyc file has been generated).

For more detail look at the documentation.

Usage

Define the class using plain assignment and attribute function calls:

from prefab_classes import prefab, attribute

@prefab
class Settings:
    hostname = attribute(default="localhost")
    template_folder = attribute(default='base/path')
    template_name = attribute(default='index')

Or with type hinting:

from prefab_classes import prefab

@prefab
class Settings:
    hostname: str = "localhost"
    template_folder: str = 'base/path'
    template_name: str = 'index'

In either case the result behaves the same.

>>> from prefab_classes import to_json
>>> s = Settings()
>>> print(s)
Settings(hostname='localhost', template_folder='base/path', template_name='index')
>>> to_json(s)
'{"hostname": "localhost", "template_folder": "base/path", "template_name": "index"}'

For further details see the usage pages in the documentation.

Why not just use attrs/dataclasses?

If attrs or dataclasses solves your problem then you should use them. They are thoroughly tested, well supported packages. This is a new project and has not had the rigorous real world testing of either of those.

This started as a way of investigating how modules like attrs and dataclasses work and evolved into an alternative method of performing a similar task.

Import Performance

There have been some discussions and comments about the performance on import of such code generators.

The first version of the project started with only the dynamic form of construction, based on David Beazley's Cluegen. Some modifications were needed as I wanted to support more features such as non-builtin defaults, factories and other options. While this was an improvement it largely moved the slower parts to happen at runtime. It would be nice if the 'work' could be done once and then this result reused so there would be no performance hit.

To this end the 'compiled' method was devised. This works by looking at the AST of the source, before actual compilation and rewriting any @prefab decorated classes into a regular python class with all of the standard methods. This is currently much slower than the dynamic method to generate but unlike dynamic classes this has the benefit of caching and can also output .py source with the generated classes.

PEP 638 appears to be a potential canonical way of doing such things but it is not actually necessary to do this as-is. This project provides a method to insert an importer that will look for a special # COMPILE_PREFABS comment and if that is detected it will handle the AST rewriting before .pyc compilation.

Why not make this operate on @dataclass?

Operating on dataclasses would require matching the dataclasses API and there are some design choices that dataclasses takes that are either more difficult to implement in the AST or less flexible than I'd like.

The first obvious difference is dataclasses requires the use of the type annotation syntax while prefab-classes does not.

For another example dataclasses uses InitVar to indicate a value to exclude from __init__ and the field list and all other methods. Special annotation instructions are less useful than arguments when working with the AST.

An annotation object can be renamed, for example: from dataclasses import InitVar as IV. or import dataclasses; IV = dataclasses.InitVar

In the AST all that is easily available is the name IV and there is no way to know if that is InitVar without thoroughly inspecting the module for all of the different ways it could be renamed. Because annotations can be strings this is already awkward even for dataclasses itself. An argument to attribute on the other hand must always use the same name and is much easier to handle. exclude_field is a boolean field that provides similar behaviour for this case.

How does it work

The @prefab decorator either rewrites the class dynamically, putting methods in place that will be generated as they are first accessed OR it acts as a marker to indicate the class should be transformed for the compiled classes.

Compiled classes can both be imported directly or converted back to new .py files. Direct import will perform the conversion before creating the .pyc file.

example.py

# COMPILE_PREFABS
from prefab_classes import prefab, attribute
from pathlib import Path


@prefab(compile_prefab=True)
class SettingsPath:
    hostname = attribute(default="localhost")
    template_folder = attribute(default='base/path')
    template_name = attribute(default='index')
    file_types = attribute(default_factory=list)

    def __prefab_post_init__(self, template_folder, file_types):
        self.template_folder = Path(template_folder)
        file_types.extend(['.md', '.html'])
        self.file_types = file_types

Direct import using prefab_compiler

from prefab_classes import prefab_compiler

with prefab_compiler():
    from example import SettingsPath

# Use normally from here

Compile to a new .py file using rewrite_to_py:

>>> from prefab_classes.compiled import rewrite_to_py
>>> rewrite_to_py('example.py', 'example_compiled.py', use_black=True, delete_firstlines=1)

Using black to format for ease of reading and deleting the now unused prefab imports.

example_compiled.py

# DO NOT MANUALLY EDIT THIS FILE
# MODULE: example_compiled.py
# GENERATED FROM: example.py
# USING prefab_classes VERSION: v0.7.2

from pathlib import Path


class SettingsPath:
    COMPILED = True
    PREFAB_FIELDS = ["hostname", "template_folder", "template_name", "file_types"]
    __match_args__ = ("hostname", "template_folder", "template_name", "file_types")

    def __init__(
        self,
        hostname="localhost",
        template_folder="base/path",
        template_name="index",
        file_types=None,
    ):
        self.hostname = hostname
        self.template_name = template_name
        file_types = file_types if file_types is not None else list()
        self.__prefab_post_init__(
            template_folder=template_folder, file_types=file_types
        )

    def __repr__(self):
        return f"{type(self).__qualname__}(hostname={self.hostname!r}, template_folder={self.template_folder!r}, template_name={self.template_name!r}, file_types={self.file_types!r})"

    def __eq__(self, other):
        return (
            (self.hostname, self.template_folder, self.template_name, self.file_types)
            == (
                other.hostname,
                other.template_folder,
                other.template_name,
                other.file_types,
            )
            if self.__class__ == other.__class__
            else NotImplemented
        )

    def __prefab_post_init__(self, template_folder, file_types):
        self.template_folder = Path(template_folder)
        file_types.extend([".md", ".html"])
        self.file_types = file_types

If compile_plain=True is provided as an argument to @prefab the COMPILED and PREFAB_FIELD variables will not be set on the class.

Credit

autogen function and some magic method definitions taken from David Beazley's Cluegen

General design based on previous experience using dataclasses and attrs and trying to match the requirements for PEP 681.