Skip to main content

This code simplifies the conversion of Pydantic schemas into Aiogram handler groups, making it easy to create form-filling handlers.

Project description

Pydantic-handler-converter

This code simplifies the conversion of Pydantic schemas into Aiogram handler groups, making it easy to create form-filling handlers.

Installation

    pip install pydantic_handler_converter

Usage:

>>> from enum import Enum
>>> from typing import Union
>>> from pydantic import BaseModel
>>> from pydantic_handler_converter import BasePydanticFormHandlers

# ----------------------------------------Simple datatypes schema--------------------------------------

>>> class PersonPydanticFormSchema(BaseModel):
...     name: str
...     age: int
...     height: float 
... 

>>> class PersonFormHanlders(BasePydanticFormHandlers[PersonPydanticFormSchema]):
...     pass
...
...
>>> dirs = dir(PersonFormHanlders)
>>> assert len(tuple(filter(lambda x: not x in dirs, ['name_view', 'age_view', 'height_view']))) == 0
>>> assert PersonFormHanlders(finish_call=None)

# ----------------------------------------Enum datatype schema-----------------------------------------

>>> class Mood(Enum):
...     HAPPY = "😄 Happy"
...     SAD = "😢 Sad"
...     EXCITED = "🤩 Excited"
...     RELAXED = "😌 Relaxed"
...
>>>
>>>
>>> class PersonMoodPydanticFormSchema(BaseModel):
...     name: str
...     current_mood: Mood
...
>>> class PersonMoodFormHanlders(BasePydanticFormHandlers[PersonMoodPydanticFormSchema]): 
...     pass
...
...
>>> dirs = dir(PersonMoodFormHanlders)
>>> assert len(tuple(filter(lambda x: not x in dirs, ['name_view', 'current_mood_view']))) == 0
>>> assert PersonMoodFormHanlders(finish_call=None)

# ----------------------------------------Complex schema-----------------------------------------------

>>> class Address(BaseModel):
...     street: str
...     city: str
...     postal_code: str
...
>>> class Person(BaseModel):
...      name: str
...      age: int
...      address: Address
...
...
>>> class PersonFormHanlders(BasePydanticFormHandlers[Person]): 
...     pass
...
...
>>> dirs = dir(PersonFormHanlders)
>>> assert len(tuple(filter(lambda x: not x in dirs, 
...     ['name_view', 'address_street_view', 'address_city_view', 'address_postal_code_view']
... ))) == 0
...
>>> assert PersonFormHanlders(finish_call=None)

# ------------------------------------Combined Enum datatype schema------------------------------------

>>> class HappyMood(Enum):
...     HAPPY = "😄 Happy"
...
>>> class SadMood(Enum):
...     SAD = "😢 Sad"
...
>>> class ExcitedMood(Enum):
...     EXCITED = "🤩 Excited"
...
>>> class RelaxedMood(Enum):
...     RELAXED = "😌 Relaxed"
...
>>>
>>> class PersonMoodPydanticFormSchema(BaseModel):
...     name: str
...     current_mood: Union[HappyMood, SadMood, ExcitedMood, RelaxedMood]
...     future_mood: HappyMood | SadMood | ExcitedMood | RelaxedMood
...
...
>>> class PersonMoodFormHanlders(BasePydanticFormHandlers[PersonMoodPydanticFormSchema]): 
...     pass
...
...
>>> dirs = dir(PersonMoodFormHanlders)
>>> assert len(tuple(filter(lambda x: not x in dirs, ['name_view', 'current_mood_view']))) == 0
>>> assert PersonMoodFormHanlders(finish_call=None)

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

pydantic_handler_converter-0.1.70.tar.gz (12.8 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file pydantic_handler_converter-0.1.70.tar.gz.

File metadata

  • Download URL: pydantic_handler_converter-0.1.70.tar.gz
  • Upload date:
  • Size: 12.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.10.6 Linux/5.15.0-1047-azure

File hashes

Hashes for pydantic_handler_converter-0.1.70.tar.gz
Algorithm Hash digest
SHA256 1dbdc5c61472f780fddd4cac84b2fcc5b3d43e31902c6ee8cc214efd2b510a34
MD5 475891ac57819526df59805c12ee7a61
BLAKE2b-256 396a3b9f8c6bb29ea460efe49deeb5bbebc7059e58a4343e49c9c076c62fc8bc

See more details on using hashes here.

File details

Details for the file pydantic_handler_converter-0.1.70-py3-none-any.whl.

File metadata

File hashes

Hashes for pydantic_handler_converter-0.1.70-py3-none-any.whl
Algorithm Hash digest
SHA256 6af5c1a9938788d81c19f1c916874c51a6fb96c346c70ed684a52e74f4825990
MD5 ac82d165eae691ee01b95a3a19a8d11c
BLAKE2b-256 caef693166c9bdf08a9d7989c568428e225aa10548b20644d0ba89c5f55bbde9

See more details on using hashes here.

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