jays-tools 3.2.3

A collection of reusable utilities across projects I work on.

Jays Tools

Utilities for data persistence and application architecture that I use in my projects.

Quick Start

pip install jays-tools

Overview

Need	Tool
App config/state	JsonDatabase — Single-entity JSON storage with validation
Multiple entities	JsonCollection — File-based distributed storage
Complex queries	SQLDatabase — Type-safe SQLite with filtering
Code structure	Architecture Framework — Five disciplined layers
Service lifecycle	Service Management — Startup/shutdown coordination

Read PHILOSOPHY.md to understand the design reasoning.

Features

JsonDatabase

Single-entity JSON storage with Pydantic validation and automatic migrations.

from jays_tools.json_database import JsonDatabase
from jays_tools.json_database.models import MigratableModel

class AppSettings(MigratableModel):
    debug: bool = False

db = JsonDatabase("settings.json", AppSettings)
settings = db.get_database()
settings.debug = True
db.update_database(settings)

JsonCollection

Directory-based entity collections for distributed file storage and faster reads.

from jays_tools.json_collection import JsonCollection
from jays_tools.json_database.models import MigratableModel

class User(MigratableModel):
    name: str = ""
    email: str = ""

collection = JsonCollection("data/users", model=User)
collection.update("user_123", User(name="Alice", email="[e-mail]"))

SQLDatabase

Async SQLite database with type-safe row models and automatic migrations.

from jays_tools.sql_database import SQLDatabase, EqualTo

db = SQLDatabase("app.db", [User])
await db.initialize()
await db.insert(User, User(name="Alice", email="[e-mail]"))
result = await db.select_one(User, filter=EqualTo("email", "[e-mail]"))

Clean Architecture Framework

Five disciplined layers with type-safe dependency injection. Separate concerns into:

• Service: Business logic (validation, calculations)
• Repository: Data access (I/O, persistence)
• Adapter: External integrations (APIs)
• DomainUseCase: Workflow orchestration
• UseCase: Entry-point formatting (HTTP, CLI)

from jays_tools.architecture import Service, Repository, DomainUseCase

class CreateUserUseCase(DomainUseCase):
    async def execute(self, name: str, email: str):
        if not self.services["validation"].validate_email(email):
            raise ValueError("Invalid email")
        await self.repos["users"].save_user(name, email)
        return {"name": name, "email": email}

Service Management

Lifecycle management for long-running services with coordinated startup and shutdown.

Structure:

server/
├── __init__.py
└── service.py

main.py

In server/service.py:

from jays_tools.services import Service, ReadinessSignal

def main(readiness_signal: ReadinessSignal):
    print("Starting server...")
    readiness_signal.set()

def shutdown():
    print("Shutting down server...")

def ServerService() -> Service:
    return Service(
        name="ServerService",
        start=main,
        stop=shutdown,
    )

In main.py:

from jays_tools.services import start_services, join_services, stop_services
from server.service import ServerService

if __name__ == "__main__":
    services = [ServerService()]
    start_services(services)
    join_services(services)
    stop_services(services)

Core Principles

Type Safety: All utilities leverage Pydantic for validation. Your editor knows what fields exist and their types.

Automatic Migrations: Update schemas without migration scripts. Old data automatically transforms to new versions.

Async-First: All I/O operations are async-first for non-blocking execution.

Minimal APIs: Simple, predictable interfaces. No complex query languages or hidden magic.

Documentation

• PHILOSOPHY.md — Design reasoning and evolution of each tool

Common Patterns

Layered Architecture

Organize code with clear separation: Repositories handle I/O, Services handle logic, UseCases coordinate.

# Repository: I/O
class FileRepository(Repository):
    async def read_csv(self, path: str) -> str:
        with open(path) as f:
            return f.read()

# Service: Logic
class CSVParsingService(Service):
    def parse_csv(self, raw: str) -> list[dict]:
        lines = raw.strip().split('\n')
        headers = lines[0].split(',')
        return [dict(zip(headers, line.split(','))) for line in lines[1:]]

# DomainUseCase: Orchestration
class ImportUseCase(DomainUseCase):
    async def execute(self, path: str):
        raw = await self.repos["files"].read_csv(path)
        parsed = self.services["parsing"].parse_csv(raw)

Database Queries

Use filter objects to query SQLDatabase:

from jays_tools.sql_database import EqualTo, Like, GreaterThan

# Simple filters
user = await db.select_one(User, filter=EqualTo("email", "[e-mail]"))
users = await db.select_all(User, filter=Like("name", "Al%"))

# Combined filters
active_users = await db.select_all(
    User, 
    filter=EqualTo("status", "active") & GreaterThan("user_id", 100)
)

Testing

Each layer is independently testable without complex mocks:

# Service test (pure function)
def test_validate_email():
    service = ValidationService()
    assert service.validate_email("[e-mail]")

# UseCase integration test
@pytest.mark.asyncio
async def test_create_user_flow():
    usecase = CreateUserUseCase.init()
    result = await usecase.execute("Alice", "[e-mail]")
    assert result["email"] == "[e-mail]"

Project Structure Example

my_app/
├── src/
│   ├── models/
│   │   ├── domain.py        # DomainModel, AggregateRoot
│   │   ├── requests.py      # RequestDTO
│   │   ├── responses.py     # ResponseDTO
│   │   └── database.py      # AdapterModel, MigratableRow
│   ├── services/
│   │   └── user.py          # UserService
│   ├── repositories/
│   │   └── user.py          # UserRepository
│   ├── adapters/
│   │   └── payment.py       # PaymentAdapter
│   ├── domain_usecases/
│   │   └── create_user.py   # CreateUserUseCase
│   ├── usecases/
│   │   └── http/
│   │       └── create_user.py  # HTTP entry point
│   └── main.py
└── tests/
    ├── test_services.py
    ├── test_repositories.py
    ├── test_usecases.py
    └── test_integration.py

License

MIT