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An asynchronous object-spatial Python library for persistence and business logic application layers.

Project description

jvspatial

An async-first Python library for building graph-based spatial applications with FastAPI integration. Provides entity-centric database operations with automatic context management.

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Table of Contents

Overview

jvspatial is an async-first Python library for building graph-based spatial applications with FastAPI integration. It provides entity-centric database operations with automatic context management.

Inspired by Jaseci's object-spatial paradigm and leveraging Python's async capabilities, jvspatial empowers developers to model complex relationships, traverse object graphs, and implement agent-based architectures that scale with modern cloud-native concurrency requirements.

Key Design Principles:

  • Hierarchy: Object → Node → Edge/Walker inheritance
  • Entity-Centric: Direct database operations via entity methods
  • Unified Decorators: @attribute for entity attributes, @endpoint for API endpoints
  • Automatic Context: Server automatically provides database context to entities
  • Essential CRUD: Core database operations with pagination support
  • Unified Configuration: Single Config class for all settings
  • Async-First: Built for modern Python async/await patterns

Key Features

🎯 Inheritance Hierarchy

  • Object: Base class for all entities
  • Node: Graph nodes with spatial data (inherits from Object)
  • Edge: Relationships between nodes (inherits from Object)
  • Walker: Graph traversal and pathfinding (inherits from Object)
  • Root: Singleton root node (inherits from Node)

🎨 Unified Decorator System

  • @attribute - Define entity attributes with protection, transient flags, and validation
  • @endpoint - Unified endpoint decorator for both functions and Walker classes
  • Automatic parameter and response schema generation

🗄️ Entity-Centric Database Operations

  • Entity methods: Entity.get(), Entity.find(), Entity.create(), entity.save(), entity.delete()
  • Automatic context management
  • Support for JSON, SQLite, MongoDB, and DynamoDB backends
  • Multi-database support with prime database for core persistence
  • Custom database registration for extensibility
  • Pagination with ObjectPager

⚙️ Unified Configuration

  • Single Config class for all settings
  • Environment variable support
  • Type-safe configuration

🚀 FastAPI Integration

  • Built-in FastAPI server with automatic OpenAPI documentation
  • Automatic endpoint registration from decorators
  • Authentication and authorization with automatic endpoint registration when enabled
  • Response schema definitions with examples
  • Entity-centric CRUD operations

⚡ Performance Mixins

  • DeferredSaveMixin: Batch multiple save() calls into a single database write
  • Configurable via JVSPATIAL_ENABLE_DEFERRED_SAVES environment variable
  • Ideal for entities with rapid, sequential updates

Installation

# Core installation
pip install jvspatial

Quick Start

Standard Examples: For production-ready API implementations, see:

Basic Example

from jvspatial.api import Server, endpoint
from jvspatial.core import Node

# Create server (entity-centric operations available automatically)
server = Server(
    title="My API",
    db_type="json",
    db_path="./jvdb",
    auth=dict(auth_enabled=False)  # Set auth_enabled=True for authentication
)

# Define entity
class User(Node):
    name: str = ""
    email: str = ""

# Create endpoint
@endpoint("/users/{user_id}", methods=["GET"])
async def get_user(user_id: str):
    user = await User.get(user_id)
    if not user:
        from fastapi import HTTPException
        raise HTTPException(status_code=404, detail="User not found")
    return {"user": await user.export()}

if __name__ == "__main__":
    server.run()

Core Concepts

Entity Definition and Attributes

from jvspatial.core import Node
from jvspatial.core.annotations import attribute

class User(Node):
    name: str = ""
    email: str = ""
    cache: dict = attribute(transient=True, default_factory=dict)

Unified Endpoint Decorator

The @endpoint decorator works with both functions and Walker classes:

from jvspatial.api import Server, endpoint
from jvspatial.core import Node

server = Server(title="My API", db_type="json", db_path="./jvdb")

# Function endpoint
@endpoint("/api/users", methods=["GET"])
async def list_users(page: int = 1, per_page: int = 10):
    from jvspatial.core.pager import ObjectPager
    pager = ObjectPager(User, page_size=per_page)
    users = await pager.get_page(page=page)
    import asyncio
    users_list = await asyncio.gather(*[user.export() for user in users])
    return {"users": users_list}

# Authenticated endpoint
@endpoint("/api/admin", methods=["GET"], auth=True, roles=["admin"])
async def admin_panel():
    return {"admin": "dashboard"}

# Endpoint with response schema
from jvspatial.api.endpoints.response import ResponseField, success_response

@endpoint(
    "/api/users",
    methods=["GET"],
    response=success_response(
        data={
            "users": ResponseField(List[Dict], "List of users"),
            "total": ResponseField(int, "Total count")
        }
    )
)
async def get_users():
    return {"users": [], "total": 0}

Entity-Centric Database Operations

from jvspatial.core import Node

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

# Entity-centric operations (no context needed - server provides it automatically)
user = await User.create(name="John", email="john@example.com")
users = await User.find({"context.name": "John"})  # Use context. prefix for fields
user = await User.get(user_id)  # Returns None if not found
if user:
    await user.save()
    await user.delete()

# Efficient counting
total_users = await User.count()  # Count all users
active_users = await User.count({"context.active": True})  # Count filtered users using query dict
active_users = await User.count(active=True)  # Count filtered users using keyword arguments

Configuration

Server Configuration

from jvspatial.api import Server

# Basic server
server = Server(
    title="My API",
    description="API description",
    version="1.0.0",
    db_type="json",
    db_path="./jvdb"
)

# Server with authentication
server = Server(
    title="Secure API",
    auth_enabled=True,  # Automatically registers /auth/register, /auth/login, /auth/logout
    jwt_secret="your-secret-key",
    jwt_expire_minutes=60,
    db_type="json",
    db_path="./jvdb"
)

# Server without authentication (public API)
server = Server(
    title="Public API",
    auth_enabled=False,  # NO authentication endpoints registered
    db_type="json",
    db_path="./jvdb_public"
)

Authentication Behavior

  • auth_enabled=True: Server automatically registers authentication endpoints (/auth/register, /auth/login, /auth/logout)
  • auth_enabled=False: Authentication endpoints are NOT registered (public API)

Documentation

Getting Started

API Development

Advanced Topics

Contributors

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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