omymodels 0.4.3

O! My Models (omymodels) is a library to generate from SQL DDL Python Models for GinoORM.

O! My Models

O! My Models (omymodels) is a library to generate from SQL DDL Python Models for GinoORM (I hope to add several more ORMs in future) and Pydantic.

By default method create_models generate GinoORM models, to ger Pydantic models output use argument models_type='pydantic'

For example,

from omymodels import create_models


ddl = """
CREATE table user_history (
     runid                 decimal(21) null
    ,job_id                decimal(21)  null
    ,id                    varchar(100) not null
    ,user              varchar(100) not null
    ,status                varchar(10) not null
    ,event_time            timestamp not null default now()
    ,comment           varchar(1000) not null default 'none'
    ) ;


"""
result = create_models(ddl, models_type='pydantic')['code']

 # and output will be:
import datetime
from typing import Optional
from pydantic import BaseModel


class UserHistory(BaseModel):

    runid: Optional[int]
    job_id: Optional[int]
    id: str
    user: str
    status: str
    event_time: datetime.datetime
    comment: str

GinoORM example. If you provide an input like:

CREATE TABLE "users" (
  "id" SERIAL PRIMARY KEY,
  "name" varchar,
  "created_at" timestamp,
  "updated_at" timestamp,
  "country_code" int,
  "default_language" int
);

CREATE TABLE "languages" (
  "id" int PRIMARY KEY,
  "code" varchar(2) NOT NULL,
  "name" varchar NOT NULL
);

and you will get output:

from gino import Gino


db = Gino()


class Users(db.Model):

    __tablename__ = 'users'

    id = db.Column(db.Integer(), autoincrement=True, primary_key=True)
    name = db.Column(db.String())
    created_at = db.Column(db.TIMESTAMP())
    updated_at = db.Column(db.TIMESTAMP())
    country_code = db.Column(db.Integer())
    default_language = db.Column(db.Integer())


class Languages(db.Model):

    __tablename__ = 'languages'

    id = db.Column(db.Integer(), primary_key=True)
    code = db.Column(db.String(2))
    name = db.Column(db.String())

How to install

pip install omymodels

How to use

From cli

omm path/to/your.ddl

# for example
omm tests/test_two_tables.sql

You can define target path where to save models with -t, –target flag:

# for example
omm tests/test_two_tables.sql -t test_path/test_models.py

If you want generate the Pydantic models - just use flag -m or –models_type=’pydantic’

omm /path/to/your.ddl -m pydantic

# or
omm /path/to/your.ddl --models_type pydantic

Small library is used for parse DDL- https://github.com/xnuinside/simple-ddl-parser.

What to do if types not supported in O! My Models and you cannot wait until PR will be approved

First of all, to parse types correct from DDL to models - they must be in types mypping, for Gino it exitst in this file:

omymodels/gino/types.py types_mapping

If you need to use fast type that not exist in mapping - just do a path before call code with types_mapping.update()

for example:

from omymodels.gino import types
from omymodels import create_models

types.types_mapping.update({'your_type_from_ddl': 'db.TypeInGino'})

ddl = "YOUR DDL with your custom your_type_from_ddl"

models = create_models(ddl)

#### And similar for Pydantic types

from omymodels.pydantic import types  types_mapping
from omymodels import create_models

types.types_mapping.update({'your_type_from_ddl': 'db.TypeInGino'})

ddl = "YOUR DDL with your custom your_type_from_ddl"

models = create_models(ddl, models_type='pydantic')

TODO in next releases

1. Add ForeignKey generation for GinoORM Models

How to contribute

Please describe issue that you want to solve and open the PR, I will review it as soon as possible.

Any questions? Ping me in Telegram: https://t.me/xnuinside

Changelog

v0.4.1

1. Added correct work with table names contains multiple ‘-’

v0.4.0

1. Added generation for Pydantic models from ddl

2. Main method create_gino_models renamed to create_models

v0.3.0

1. Generated Index for ‘index’ statement in table_args (not unique constrait as previously)

2. Fix issue with column size as tuple (4,2)

v0.2.0

1. Valid generating columns in models: autoincrement, default, type, arrays, unique, primary key and etc.

2. Added creating table_args for indexes