servicekit 0.9.0

Async SQLAlchemy framework with FastAPI integration - reusable foundation for building data services

Servicekit

Async SQLAlchemy framework with FastAPI integration - reusable foundation for building data services

Servicekit is a framework-agnostic core library providing foundational infrastructure for building async Python services with FastAPI and SQLAlchemy.

Features

• Database Layer: Async SQLAlchemy with SQLite support, connection pooling, and automatic migrations
• Repository Pattern: Generic repository base classes for data access
• Manager Pattern: Business logic layer with lifecycle hooks
• CRUD API: Auto-generated REST endpoints with full CRUD operations
• Authentication: API key middleware with file and environment variable support
• Job Scheduling: Async job scheduler with concurrency control
• App Hosting: Mount static web applications alongside your API
• Monitoring: Prometheus metrics and OpenTelemetry integration
• Health Checks: Flexible health check system with SSE streaming support
• Error Handling: RFC 9457 Problem Details for HTTP APIs
• Logging: Structured logging with request context

Installation

pip install servicekit

Quick Start

from servicekit.api import BaseServiceBuilder, ServiceInfo

app = (
    BaseServiceBuilder(info=ServiceInfo(display_name="My Service"))
    .with_health()
    .with_database("sqlite+aiosqlite:///./data.db")
    .build()
)

Architecture

servicekit/
├── database.py       # Database, SqliteDatabase, SqliteDatabaseBuilder
├── models.py         # Base, Entity ORM classes
├── repository.py     # Repository, BaseRepository
├── manager.py        # Manager, BaseManager
├── schemas.py        # EntityIn, EntityOut, PaginatedResponse
├── scheduler.py      # JobScheduler, AIOJobScheduler
├── exceptions.py     # Error classes
├── logging.py        # Structured logging
├── types.py          # ULIDType, JsonSafe
└── api/              # FastAPI framework layer
    ├── router.py     # Router base class
    ├── crud.py       # CrudRouter, CrudPermissions
    ├── auth.py       # API key authentication
    ├── app.py        # Static app hosting
    ├── middleware.py # Error handlers, logging
    └── routers/      # Health, Jobs, System, Metrics

Key Components

BaseServiceBuilder

from servicekit.api import BaseServiceBuilder, ServiceInfo

app = (
    BaseServiceBuilder(info=ServiceInfo(display_name="My Service"))
    .with_health()                    # Health check endpoint
    .with_database(url)               # Database configuration
    .with_jobs(max_concurrency=10)   # Job scheduler
    .with_auth()                      # API key authentication
    .with_monitoring()                # Prometheus metrics
    .with_app("./webapp")             # Static web app
    .include_router(custom_router)   # Custom routes
    .build()
)

Repository Pattern

from servicekit import BaseRepository, Entity
from sqlalchemy.orm import Mapped, mapped_column

class User(Entity):
    __tablename__ = "users"
    name: Mapped[str] = mapped_column()
    email: Mapped[str] = mapped_column()

class UserRepository(BaseRepository[User, ULID]):
    def __init__(self, session: AsyncSession):
        super().__init__(session, User)

CRUD Router

from servicekit.api import CrudRouter, CrudPermissions

router = CrudRouter.create(
    prefix="/api/v1/users",
    tags=["Users"],
    entity_in_type=UserIn,
    entity_out_type=UserOut,
    manager_factory=get_user_manager,
    permissions=CrudPermissions(create=True, read=True, update=True, delete=False)
)

Examples

See the examples/ directory for complete working examples:

• core_api.py - Basic CRUD service
• job_scheduler_api.py - Background job execution
• app_hosting_api.py - Hosting static web apps
• auth_basic.py - API key authentication
• monitoring_api.py - Prometheus metrics

Documentation

See docs/ for comprehensive guides and API reference.

Testing

make test      # Run tests
make lint      # Run linter
make coverage  # Test coverage

License

AGPL-3.0-or-later

Related Projects

• chapkit - Domain modules (artifacts, configs, tasks, ML workflows) built on servicekit (docs)