Skip to main content

Yet another, super lightweight MySQL ORM in Python.

Project description

LightORM 💡🧺🗄️

It is what the name means. Light yet Do Stuffs (Almost) . Yet another, super lightweight MySQL ORM (Object-Relational Mapping) in Python.

💾 How to Install

pip install lightorm

If you find this project interesting, you can always star it. :D

📷 A Background for LightORM

The Dall-E prompt was

light yagami from death note is writing  code as darth vader yakuza style

background

🔌 Connecting and Querying

LightORM is designed to reduce the overhead of doing everything and focus on doing things in a very light way. First connect with the database,

import os
from dotenv import load_dotenv

load_dotenv()

from lightorm import Database, Field, _AND

table_name = 'person_table'
db = Database(
    db_name=os.environ.get('DB_NAME'),
    user=os.environ.get('DB_USER'),
    password=os.environ.get('DB_PASSWORD'),
    host=os.environ.get('DB_HOST'),
    port=int(os.environ.get('DB_PORT'))
)

Here, the database configs are read from .env file. And the db is instantiated.

💉🗄️ Insert a Record

Inserting a record is quiet simple.

person = {
    'name': 'John Doe',
    'age': 23,
    'address': 'LA',
    'hobby': 'writing'
    }
row_id = db.table(table_name).insert(**person)

If successful, the insert(**person) will return the row-id

🗃️🗄️ Insert Multiple Records

Inserting multiple record is simply feeding the insert_many method with the list of the dictionary of the records to be inserted.

persons = [
    {
    'name': 'John Doe',
    'age': 23,
    'address': 'LA',
    'hobby': 'writing'
    },
    {
    'name': 'Jane Doe',
    'age': 27,
    'address': 'Kentucky',
    'hobby': 'sleeping'
    }
]
record_inserted = db.table(table_name).insert_many(rows=persons)

Upon successful insertion, insert_many returns the number of rows inserted.

🗄️🧩 Getting Data Back (SELECT)

For getting all data back, simply

users = db.table(table_name).select().execute()

or simply with empty where clause [ not suggested, but it will work]

users = db.table(table_name).select().where().execute()

Note, there is an extra method execute, required for the operation.

🥣🗄️ Filtering

lightorm is tested with several filtering, and it is simply chaining filtering clauses. Let's see

🥣🗄️ Filtering users by age and hobby

from lightorm import Field,_AND

...
...

users = db.table(table_name).select().where([
    Field('age').eq(33), _AND,
    Field('hobby').eq('programming')
]).execute()

🥣🗄️ Filtering users where age is less than 33

users = db.table(table_name).select().where([
    Field('age').lt(35)
]).execute()
print('users:', users)

🥣🗄️ Filtering users where adress is in `['Dhaka','Khulna']

users = db.table(table_name).select().where([
    Field('address').find_in(['Dhaka', 'Khulna'])
]).execute()
print('users:', users)

🚥🗄️ Updating the Records

update() method receivers key-val dict for fields to be changed. Simply,

v_set = {
    'age': 65,
    'hobby': 'sleeping'
}
user_count = db.table(table_name).update(**v_set).where([
    Field('address').eq('Dhaka')
]).execute()
print('Affected Row:', user_count)

v_set is the dict that is the followed by SET value in sql query. After successful query, it returns rows affected.

✏️🗄️ Deleting Records

delete() works just like the select() method. It returns boolean True if is the query is successfully executed.

delete_flag = self.db.table(self.table_name).delete().where([
    Field('hobby').eq('sleeping')
]).execute()
print('Delete-Flag:', delete_flag)

📜 Almost Full Example

import os
import random
import unittest
from dotenv import load_dotenv
from lightorm import Database, Field, _AND

load_dotenv()


class TestTinyOrm(unittest.TestCase):
    table_name = os.environ.get('TABLE_NAME')
    db = Database(
        db_name=os.environ.get('DB_NAME'),
        user=os.environ.get('DB_USER'),
        password=os.environ.get('DB_PASSWORD'),
        host=os.environ.get('DB_HOST'),
        port=int(os.environ.get('DB_PORT'))
    )
    first_name = ['John', 'Jane', 'Jason', 'Guido', 'Martin', 'Rob']
    last_name = ['Doe', 'Dee', 'Mraz', 'Van Russom', 'Fowler', 'Pike']
    addresses = ['Dhaka', 'LA', 'Kentucky', 'Madrid', 'Khulna', 'Sylhet']
    hobbies = ['singing', 'art', ' gaming', 'programming', 'writing', 'sleeping']

    def get_name(self):
        name = '{} {}'.format(random.choice(self.first_name),
                              random.choice(self.last_name))
        return name

    def get_age(self):
        return random.choice([i for i in range(25, 60)])

    def get_address(self):
        return random.choice(self.addresses)

    def get_hobby(self):
        return random.choice(self.hobbies)

    def test_insert(self):
        person = {
            'name': self.get_name(),
            'age': self.get_age(),
            'address': self.get_address(),
            'hobby': self.get_hobby()
        }
        row_id = self.db.table(self.table_name).insert(**person)
        print('row-id:', row_id)

    def test_insert_many(self):
        persons = []
        for i in range(1, 50):
            person = {
                'name': self.get_name(),
                'age': self.get_age(),
                'address': self.get_address(),
                'hobby': self.get_hobby()
            }
            persons.append(person)
        count = self.db.table(self.table_name).insert_many(rows=persons)
        print('recored created:', count)

    def test_get_users(self):
        users = self.db.table(self.table_name).select().where().execute()
        print('users:', users)

    def test_get_user_by_age_and_hobby(self):
        users = self.db.table(self.table_name).select().where([
            Field('age').eq(33), _AND,
            Field('hobby').eq('art')
        ]).execute()
        print('users:', users)

    def test_get_users_where_age_lt_33(self):
        users = self.db.table(self.table_name).select().where([
            Field('age').lt(35)
        ]).execute()
        print('users:', users)

    def test_get_users_where_age_is_in_list_33(self):
        users = self.db.table(self.table_name).select().where([
            Field('age').find_in([33])
        ]).execute()
        print('users:', users)

    def test_get_user_where_address_is_in_dhaka_or_sylhet(self):
        users = self.db.table(self.table_name).select().where([
            Field('address').find_in(['Dhaka', 'Khulna'])
        ]).execute()
        print('users:', users)

    def test_update_users_age_to_50_if_address_is_dhaka(self):
        v_set = {
            'age': 65,
            'hobby': 'sleeping'
        }
        user_count = self.db.table(self.table_name).update(**v_set).where([
            Field('address').eq('Dhaka')
        ]).execute()
        print('Affected Row:', user_count)

    def test_delete_users_where_hobby_eq_art(self):
        delete_flag = self.db.table(self.table_name).delete().where([
            Field('hobby').eq('sleeping')
        ]).execute()
        print('Delete-Flag:', delete_flag)

    def test_find_not_in(self):
        users = self.db.table(self.table_name).select().where([
            Field('age').find_not_in([49, 39, 28])
        ]).execute()
        print('users:', len(users))

    def test_paginated_query(self):
        size = 10
        users = self.db.table(self.table_name).select().where(
            [
                Field('age').eq(65)
            ]
        ).paginate(0, size).execute()
        print('len(users):', len(users))
        print('users:', users)


if __name__ == '__main__':
    unittest.main()

🔮 Upcoming Features

  1. Raw SQL execution.
  2. Adding Pagination and Sorting
  3. Adding proper Logging and debugging messages.
  4. Adding Aggregate Function function in the ORM.

🧚 Inspiration

Peewee, SQLalchemy djangoORM and all the other ORMs out there, making Developers life easier.

Change logs

0.0.6

  • Adding find_not_in() method.

0.0.7

  • Adding paginate() method.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lightorm-0.0.7.tar.gz (7.6 kB view hashes)

Uploaded Source

Built Distribution

lightorm-0.0.7-py3-none-any.whl (5.9 kB view hashes)

Uploaded Python 3

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