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-0.1.54.tar.gz (12.0 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file pydantic_handler_converter-0.1.54.tar.gz.

File metadata

  • Download URL: pydantic_handler_converter-0.1.54.tar.gz
  • Upload date:
  • Size: 12.0 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-0.1.54.tar.gz
Algorithm Hash digest
SHA256 7cdd85178c827465dc6213efb93d0eba7dd6584e7a195e10d6883ed693891425
MD5 e4c4902b2d32f317388678f0fe33c02f
BLAKE2b-256 8697a09297928f0ab39943c3beaaa02fc30eb71c18f294082d253240a5094958

See more details on using hashes here.

File details

Details for the file pydantic_handler_converter-0.1.54-py3-none-any.whl.

File metadata

File hashes

Hashes for pydantic_handler_converter-0.1.54-py3-none-any.whl
Algorithm Hash digest
SHA256 442f9284174d78bb091f8a374bbb6848712cd792cf4723a34fa4115101f87679
MD5 955d36c5ae741abd9ffbb0369953bd3e
BLAKE2b-256 21c7b87dfa90f43d4bde17954793056d472fcb5b5bf2bb2e3236436884499a6f

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