easydatastore 0.1.7

The easiest way to create type-safe, in-memory datastores for your models.

easydatastore - Create type-safe, in-memory datastores

Requirements

• Python 3.11+

Install

pip install easydatastore

Usage

If you want to prototype a web application quickly and just need a way to validate your mock data, you can use easydatastore to create an in-memory datastore for your models, directly out of the box.

Features:

• In-memory tables for your models with easydatastore.Table, with a familiar pydantic-flavored syntax and ORM-like API.
• Enforce uniqueness constraints with Column(unique=True)
• Use indexing for faster lookups with Column(index=True)
• IDE-friendly type hints ensure your coding experience is type-safe.

Example

import easydatastore.exceptions
from easydatastore import Column, Table


class Person(Table):
    name: str = Column(primary_key=True)
    email: str | None = Column(unique=True, default=None)
    family_name: str
    age: int


Person(name="Snap", family_name="Krispies", email="[e-mail]", age=92)
Person(name="Crackle", family_name="Krispies", age=92)
Person(name="Pop", family_name="Krispies", age=92)
Person(name="Tony", family_name="Tiger", email="[e-mail]", age=72)
Person(name="Cap'n", family_name="Crunch", age=53)

# retrieve an instance from the table using the .get() method and a primary key value
tony = Person.get("Tony")
print(tony)  # Person(name='Tony', email=None, family_name='Tiger')

# or query your table using the .filter() method
print([person.name for person in Person.filter(family_name="Krispies")])  # ["Snap", "Crackle", "Pop"]
print([person.name for person in Person.filter(lambda person: person.age < 90)])  # ["Tony", "Cap'n"]

# delete instances from the table with the .delete() method
Person.delete(Person.get("Crackle"))
print([person.name for person in Person.all()])  # ["Snap", "Pop", "Tony"]

# easydatastore will validate uniqueness for you... these operations will raise exceptions:
try:
    tony.email = Person.get("Snap").email
except ValueError as e:
    print(e.args[0])  # ValueError: Value '[e-mail]' for field 'email' is not unique

try:
    Person(name="Snap", family_name="Rice", age=1)
except easydatastore.exceptions.DuplicateUniqueFieldValueError as e:
    print(e.args[0])  # DuplicateUniqueFieldValueError