Skip to main content

An ORM for MySql.

Project description

MySql ORM

A simple Object Relational Mapper for MySql. Works with existing tables and the schema of the tables are automatically inferred.

Install

pip install orm-mysql

Connect to MySql

from orm import Table

Table.connect(config_dict={
    'host': '<host_here>',
    'port': 3306,
    'user': '<user>',
    'password': '<password>',
    'database': '<database>'
})

Create a class for a table

Create a class that inherits from Table. Initialize the class variable table_name with the name of the table, here 'student'

from orm import Table
Table.connect(config_dict=CONFIG)

class Student(Table):
    table_name = 'student'

OR use get_table()

from orm import Table, get_table
Table.connect(config_dict=CONFIG)

Student = get_table('student')

Insert data

Using save()

new_student = Student(name='hrushi', age=19, gender='M')
new_student.age = 20
new_student.save()

Using create()

new_student = Student.create(name='hrushi', age=19, gender='M')

Query data

Using where()

students = Student.where(age=19, gender='F')

for stu in students:
    print(stu.name)

Using find()

Find a single record based on PRIMARY KEY.

# find student where id(PK) = 2
student = Student.find(2)

print(student.name)

Delete a record

student = Student.find(2)
student.destroy()

Relations

has_many and belongs_to can be used to show relationships between tables.

from orm import Table, has_many, belongs_to

class Article(Table):
    table_name = 'articles'

    relations = [
        belongs_to(name='author', _class='Author', foreign_key='author_id', primary_key='id')
    ]

class Author(Table):
    table_name = 'authors'

    relations = [
        has_many(name='articles', _class='Article', foreign_key='author_id')
    ]

Get all the books written a Author

auth = Author.find(2)
articles = auth.articles()
for art in articles:
    print(art.title)

Get Author of a book

art = Article.find(5)
author = art.author()
print(author.name)

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

orm-mysql-1.0.5.tar.gz (5.3 kB view details)

Uploaded Source

Built Distribution

orm_mysql-1.0.5-py3-none-any.whl (6.7 kB view details)

Uploaded Python 3

File details

Details for the file orm-mysql-1.0.5.tar.gz.

File metadata

  • Download URL: orm-mysql-1.0.5.tar.gz
  • Upload date:
  • Size: 5.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for orm-mysql-1.0.5.tar.gz
Algorithm Hash digest
SHA256 9ea53295d9ddfaa7f126899fbf1dd6c98aa313518900848f266fad29f282405f
MD5 476db7d69fab885effa32434335a4265
BLAKE2b-256 83935d0d9f7b6cbc6d76cf875eec1aa92d8ef36342f857b60e127865f9876c54

See more details on using hashes here.

File details

Details for the file orm_mysql-1.0.5-py3-none-any.whl.

File metadata

  • Download URL: orm_mysql-1.0.5-py3-none-any.whl
  • Upload date:
  • Size: 6.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for orm_mysql-1.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 c6fb9a0dd02ecf20d2ec9a31c53a8dcdac60c58cd71b9814cdca8d1bbe6f3b81
MD5 889e49f64faa8eb3e675047bf93e53fb
BLAKE2b-256 b95f5ec685ed583da344f019062910bf35a1565168f156decfea165bcdc855a4

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