scruby 0.35.8
Asynchronous library for building and managing a hybrid database, by scheme of key-value.
Requires Python: <4.0,>=3.12
Keywords: database, store, scruby, async

<div align="center">
  <p align="center">
    <a href="https://github.com/kebasyaty/scruby">
      <img
        height="80"
        alt="Logo"
        src="https://raw.githubusercontent.com/kebasyaty/scruby/main/assets/logo.svg">
    </a>
  </p>
  <p>
    <h1>Scruby (small shrub)</h1>
    <h3>Asynchronous library for building and managing a hybrid database,<br>by scheme of key-value.</h3>
    <p align="center">
      <a href="https://github.com/kebasyaty/scruby/actions/workflows/test.yml" alt="Build Status"><img src="https://github.com/kebasyaty/scruby/actions/workflows/test.yml/badge.svg" alt="Build Status"></a>
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      <a href="https://pypi.python.org/pypi/scruby/" alt="PyPI status"><img src="https://img.shields.io/pypi/status/scruby.svg" alt="PyPI status"></a>
      <a href="https://pypi.python.org/pypi/scruby/" alt="PyPI version fury.io"><img src="https://badge.fury.io/py/scruby.svg" alt="PyPI version fury.io"></a>
      <br>
      <a href="https://pyrefly.org/" alt="Types: Pyrefly"><img src="https://img.shields.io/badge/types-Pyrefly-FFB74D.svg" alt="Types: Pyrefly"></a>
      <a href="https://docs.astral.sh/ruff/" alt="Code style: Ruff"><img src="https://img.shields.io/badge/code%20style-Ruff-FDD835.svg" alt="Code style: Ruff"></a>
      <a href="https://pypi.org/project/scruby"><img src="https://img.shields.io/pypi/format/scruby" alt="Format"></a>
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      <a href="https://github.com/kebasyaty/scruby/blob/main/MIT-LICENSE" alt="License: MIT"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT"></a>
      <a href="https://github.com/kebasyaty/scruby/blob/main/GPL-3.0-LICENSE" alt="License: GPL v3"><img src="https://img.shields.io/badge/License-GPLv3-blue.svg" alt="License: GPL v3"></a>
    </p>
    <p align="center">
        The library uses fractal-tree addressing and
        <br>
        the search for documents based on the effect of a quantum loop.
        <br>
        The database consists of collections.
        <br>
        The maximum size of the one collection is <b>16**8=4294967296</b> branches,
        <br>
        each branch can store one or more keys.
        <br>
        The value of any key in collection can be obtained maximum in <b>8</b> steps,
        <br>
        thereby achieving high performance.
        <br>
        The effectiveness of the search for documents based on a quantum loop,
        <br>
        requires a large number of processor threads.
    </p>
  </p>
</div>

##

<br>

[![List of plugins](https://raw.githubusercontent.com/kebasyaty/scruby/v0/assets/links/plugins.svg "List of plugins")](https://github.com/kebasyaty/scruby/blob/v0/PLUGINS.md "List of plugins")

[![Documentation](https://raw.githubusercontent.com/kebasyaty/scruby/v0/assets/links/documentation.svg "Documentation")](https://kebasyaty.github.io/scruby/ "Documentation")

[![Requirements](https://raw.githubusercontent.com/kebasyaty/scruby/v0/assets/links/requirements.svg "Requirements")](https://github.com/kebasyaty/scruby/blob/v0/REQUIREMENTS.md "Requirements")

## Installation

```shell
uv add scruby
```

## Run

```shell
# Run Development:
uv run python main.py
# Run Production:
uv run python -OOP main.py
```

## Usage

[![Examples](https://raw.githubusercontent.com/kebasyaty/scruby/v0/assets/links/examples.svg "Examples")](https://kebasyaty.github.io/scruby/latest/pages/usage/ "Examples")

```python
"""Working with keys."""

import anyio
from datetime import datetime
from zoneinfo import ZoneInfo
from typing import Annotated
from pydantic import EmailStr, Field
from pydantic_extra_types.phone_numbers import PhoneNumber, PhoneNumberValidator
from scruby import Scruby, ScrubyModel, ScrubySettings

ScrubySettings.db_root = "ScrubyDB"  # By default = "ScrubyDB"
ScrubySettings.hash_reduce_left = 6  # By default = 6
ScrubySettings.max_workers = None  # By default = None
ScrubySettings.plugins = []  # By default = []

class User(ScrubyModel):
    """User model."""
    first_name: str = Field(strict=True)
    last_name: str = Field(strict=True)
    birthday: datetime = Field(strict=True)
    email: EmailStr = Field(strict=True)
    phone: Annotated[PhoneNumber, PhoneNumberValidator(number_format="E164")] = Field(frozen=True)
    # key is always at bottom
    key: str = Field(
        strict=True,
        frozen=True,
        default_factory=lambda data: data["phone"],
    )


async def main() -> None:
    """Example."""
    # Get collection `User`.
    user_coll = await Scruby.collection(User)

    user = User(
        first_name="John",
        last_name="Smith",
        birthday=datetime(1970, 1, 1, tzinfo=ZoneInfo("UTC")),
        email="John_Smith@gmail.com",
        phone="+447986123456",
    )

    await user_coll.add_doc(user)

    await user_coll.update_doc(user)

    await user_coll.get_doc("+447986123456")  # => user
    await user_coll.get_doc("key missing")  # => KeyError

    await user_coll.has_key("+447986123456")  # => True
    await user_coll.has_key("key missing")  # => False

    await user_coll.delete_doc("+447986123456")
    await user_coll.delete_doc("+447986123456")  # => KeyError
    await user_coll.delete_doc("key missing")  # => KeyError

    # Full database deletion.
    # Hint: The main purpose is tests.
    Scruby.napalm()


if __name__ == "__main__":
    anyio.run(main)
```

```python
"""Find one document matching the filter.

The search is based on the effect of a quantum loop.
The search effectiveness depends on the number of processor threads.
"""

import anyio
from pydantic import Field
from scruby import Scruby, ScrubyModel, ScrubySettings
from pprint import pprint as pp

ScrubySettings.db_root = "ScrubyDB"  # By default = "ScrubyDB"
ScrubySettings.hash_reduce_left = 6  # By default = 6
ScrubySettings.max_workers = None  # By default = None
ScrubySettings.plugins = []  # By default = []


class Phone(ScrubyModel):
    """Phone model."""
    brand: str = Field(strict=True, frozen=True)
    model: str = Field(strict=True, frozen=True)
    screen_diagonal: float = Field(strict=True)
    matrix_type: str = Field(strict=True)
    # key is always at bottom
    key: str = Field(
        strict=True,
        frozen=True,
        default_factory=lambda data: f"{data['brand']}:{data['model']}",
    )


async def main() -> None:
    """Example."""
    # Get collection `Phone`.
    phone_coll = await Scruby.collection(Phone)

    # Create phone.
    phone = Phone(
        brand="Samsung",
        model="Galaxy A26",
        screen_diagonal=6.7,
        matrix_type="Super AMOLED",
    )

    # Add phone to collection.
    await phone_coll.add_doc(phone)

    # Find phone by brand.
    phone_details: Phone | None = await phone_coll.find_one(
        filter_fn=lambda doc: doc.brand == "Samsung",
    )
    if phone_details is not None:
        pp(phone_details)
    else:
        print("No Phone!")

    # Find phone by model.
    phone_details: Phone | None = await phone_coll.find_one(
        filter_fn=lambda doc: doc.model == "Galaxy A26",
    )
    if phone_details is not None:
        pp(phone_details)
    else:
        print("No Phone!")

    # Full database deletion.
    # Hint: The main purpose is tests.
    Scruby.napalm()


if __name__ == "__main__":
    anyio.run(main)
```

```python
"""Find many documents matching the filter.

The search is based on the effect of a quantum loop.
The search effectiveness depends on the number of processor threads.
"""

import anyio
from pydantic import Field
from scruby import Scruby, ScrubyModel, ScrubySettings
from pprint import pprint as pp

ScrubySettings.db_root = "ScrubyDB"  # By default = "ScrubyDB"
ScrubySettings.hash_reduce_left = 6  # By default = 6
ScrubySettings.max_workers = None  # By default = None
ScrubySettings.plugins = []  # By default = []

class Car(ScrubyModel):
    """Car model."""
    brand: str = Field(strict=True, frozen=True)
    model: str = Field(strict=True, frozen=True)
    year: int = Field(strict=True)
    power_reserve: int = Field(strict=True)
    # key is always at bottom
    key: str = Field(
        strict=True,
        frozen=True,
        default_factory=lambda data: f"{data['brand']}:{data['model']}",
    )


async def main() -> None:
    """Example."""
    # Get collection `Car`.
    car_coll = await Scruby.collection(Car)

    # Create cars.
    for num in range(1, 10):
        car = Car(
            brand="Mazda",
            model=f"EZ-6 {num}",
            year=2025,
            power_reserve=600,
        )
        await car_coll.add_doc(car)

    # Find cars by brand and year.
    car_list: list[Car] | None = await car_coll.find_many(
        filter_fn=lambda doc: doc.brand == "Mazda" and doc.year == 2025,
    )
    if car_list is not None:
        pp(car_list)
    else:
        print("No cars!")

    # Find all cars.
    car_list: list[Car] | None = await car_coll.find_many()
    if car_list is not None:
        pp(car_list)
    else:
        print("No cars!")

    # For pagination output.
    car_list: list[Car] | None = await car_coll.find_many(
        filter_fn=lambda doc: doc.brand == "Mazda",
        limit_docs=5,
        page_number=2,
    )
    if car_list is not None:
        pp(car_list)
    else:
        print("No cars!")

    # Full database deletion.
    # Hint: The main purpose is tests.
    Scruby.napalm()


if __name__ == "__main__":
    anyio.run(main)
```

<br>

[![Changelog](https://raw.githubusercontent.com/kebasyaty/scruby/v0/assets/links/changelog.svg "Changelog")](https://github.com/kebasyaty/scruby/blob/v0/CHANGELOG.md "Changelog")

[![MIT](https://raw.githubusercontent.com/kebasyaty/scruby/v0/assets/links/mit.svg "MIT")](https://github.com/kebasyaty/scruby/blob/main/MIT-LICENSE "MIT")

[![GPL-3.0](https://raw.githubusercontent.com/kebasyaty/scruby/v0/assets/links/gpl-3.0-or-later.svg "GPL-3.0")](https://github.com/kebasyaty/scruby/blob/main/GPL-3.0-LICENSE "GPL-3.0")