crudtape 0.1.3

Simple in-memory CRUD store for rapid prototyping

crudtape

"Like duct tape but for CRUD..."

A lightweight in-memory CRUD store for Pydantic-style objects, designed for rapid prototyping. Powered by TinyDB.

Installation

pip install crudtape

Or add it as a dependency to you favorite build configuration file.

Usage

The store is designed to work with any model class that implements the basic Storable protocol, which defines a minimal subset of the Pydantic model interface. Importantly, the store does not depend on Pydantic itself - you can use any compatible class. This means:

• Pydantic models (as-is)
• @dataclass decorated classes
• Custom classes built from scratch

The only caveat is that the store manages the object IDs internally. In essence, a compatible model class needs to provide:

• __init__ method that accepts keyword arguments, including an optional id of type int (used when constructing returned objects).
• model_dump() method returning a dictionary representation, excluding the id attribute (it will be ignored by the store otherwise).

An example model class using Pydantic:

import BaseModel from pydantic

class Pet(BaseModel):
    name: str
    age: str
    id: int = None

The same but using @dataclass decorator:

@dataclass
class Pet:
    name: str
    age: int
    id: int = None

    def model_dump(self, *args, **kwargs):
        return {"name": self.name, "age": self.age}

And once again, this time made from scratch:

class Pet:
    def __init__(self, **data):
        self.name = data.get("name")
        self.age = data.get("age")
        self.id = data.get("id", None)

    def model_dump(self, *args, **kwargs):
        return {"name": self.name, "age": self.age}    

The class is used to create a corresponding store instance:

import Store from crudtape

store = Store(Pet)

The store offers basic self-explanatory CRUD operations, all typed to the specified model class and with decent error checking. See the API reference for full details.

# insert an object
store.insert(Pet(name="Bob", age=3))

# list all objects 
store.all()

# get an object with given ID
store.get(1)

# update an object with given ID
store.update(1, Pet(name="Rob", age=5))

# delete an object with given ID
store.delete(1)

The store raises StoreError for general failures, with two exceptions: NotFoundError is raised when an object with the given ID doesn’t exist, and TypeError when an input object has the wrong type.