elasticmapper 0.1.0

Generating ElasticSearch mappings based on ORM's models

ElasticMapper

ElasticSearch mapper for three ORMs - SQLAlchemy, Peewee, DjangoORM.

Allows you to easily generate ElasticSearch mappings based on models.

Basic usage

Peewee example

from peewee import *
from elasticmapper import load, SupportedORMs

db = SqliteDatabase('my_app.db')

class BaseModel(Model):
    class Meta:
        database = db

class User(BaseModel):
    username = CharField(unique=True)

user_elastic_mapping = load(model=User, orm=SupportedORMs.Peewee) 

SQLAlchemy example

from sqlalchemy.orm import declarative_base
from sqlalchemy import Column, Integer, String
from elasticmapper import load, SupportedORMs

Base = declarative_base()

class User(Base):
    __tablename__ = 'users'
    id = Column(Integer, primary_key=True)
    username = Column(String)

user_elastic_mapping = load(model=User, orm=SupportedORMs.SQLAlchemy) 

DjangoORM example

from django.db import models
from elasticmapper import load, SupportedORMs

class User(models.Model):
    username = models.CharField(max_length=30)

user_elastic_mapping = load(model=User, orm=SupportedORMs.DjangoORM) 

Output for all examples:

{
    'id': 'int',
    'username': 'text'
}

Documentation

elasticmapper.load

• model - required param

A model instance.

• orm - required param

One of the SupportedORMs attributes.

• keyword_fields

A collection that contains attribute names. All of them will have keyword type in the output mapping.

• include

A collection that contains attribute names. Attributes that are not listed in this collection will not be included in the output mapping.

• exclude

A collection that contains attribute names. Attributes that are listed in this collection will not be included in the output mapping.

• alternative_names

A dictionary that contains attribute names and their new names which will be listed in the output mapping.

For example:

elasticmapper.load(model=..., orm=..., alternative_names={'id': 'obj_id'})

Expected output:

{'obj_id': 'int'}

Contributing

PR are welcome! Thank you for your contribution.

License

Copyright © 2022 Polina Beskorovaynaya ihatemilk

This project has MIT License.