type-bridge 0.2.4

A modern, Pythonic ORM for TypeDB with an Attribute-based API

TypeBridge

A modern, Pythonic ORM for TypeDB with an Attribute-based API that aligns with TypeDB's type system.

Features

• True TypeDB Semantics: Attributes are independent types that entities and relations own
• Flag System: Clean API for @key, @unique, and @card annotations
• Flexible Cardinality: Express any cardinality constraint with Card(min, max)
• Pydantic Integration: Built on Pydantic v2 for automatic validation, serialization, and type safety
• Type-Safe: Full Python type hints and IDE autocomplete support
• Declarative Models: Define entities and relations using Python classes
• Automatic Schema Generation: Generate TypeQL schemas from your Python models
• Data Validation: Automatic type checking and coercion via Pydantic
• JSON Support: Seamless JSON serialization/deserialization
• CRUD Operations: Simple managers for entity and relation operations
• Query Builder: Pythonic interface for building TypeQL queries

Installation

# Clone the repository
git clone https://github.com/yourusername/type_bridge.git
cd type_bridge

# Install with uv
uv sync

# Or with pip
pip install -e .

Quick Start

1. Define Attribute Types

from type_bridge import String, Integer

class Name(String):
    pass

class Age(Integer):
    pass

2. Define Entities

from type_bridge import Entity, EntityFlags, Flag, Key, Card

class Person(Entity):
    flags = EntityFlags(type_name="person")  # Optional, defaults to lowercase class name

    # Use Flag() for key/unique markers and Card for cardinality
    name: Name = Flag(Key)                   # @key (implies @card(1..1))
    age: Age | None                          # @card(0..1) - optional field
    email: Email                             # @card(1..1) - default cardinality
    tags: list[Tag] = Flag(Card(min=2))      # @card(2..) - two or more

3. Create Instances

# Create entity instances with attribute values
alice = Person(
    name=Name("Alice"),
    age=Age(30),
    email=Email("[e-mail]")
)

# Pydantic handles validation and type coercion automatically
print(alice.name.value)  # "Alice"

4. Work with Data

from type_bridge import Database, SchemaManager

# Connect to database
db = Database(address="localhost:1729", database="mydb")
db.connect()
db.create_database()

# Define schema
schema_manager = SchemaManager(db)
schema_manager.register(Person, Company, Employment)
schema_manager.sync_schema()

# Insert entities - use typed instances
alice = Person(
    name=Name("Alice"),
    age=Age(30),
    email=Email("[e-mail]")
)
Person.manager(db).insert(alice)

# Insert relations - use typed instances
employment = Employment(
    employee=alice,
    employer=techcorp,
    position=Position("Engineer"),
    salary=Salary(100000)
)
Employment.manager(db).insert(employment)

5. Cardinality Constraints

from type_bridge import Card, Flag

class Person(Entity):
    flags = EntityFlags(type_name="person")

    # Cardinality options:
    name: Name                              # @card(1..1) - exactly one (default)
    age: Age | None                         # @card(0..1) - zero or one
    tags: list[Tag] = Flag(Card(min=2))     # @card(2..) - two or more (unbounded)
    skills: list[Skill] = Flag(Card(max=5)) # @card(0..5) - zero to five
    jobs: list[Job] = Flag(Card(1, 3))      # @card(1..3) - one to three

6. Define Relations

from type_bridge import Relation, RelationFlags, Role

class Employment(Relation):
    flags = RelationFlags(type_name="employment")

    # Define roles with type-safe Role[T] syntax
    employee: Role[Person] = Role("employee", Person)
    employer: Role[Company] = Role("employer", Company)

    # Relations can own attributes
    position: Position                   # @card(1..1)
    salary: Salary | None                # @card(0..1)

7. Using Python Inheritance

class Animal(Entity):
    flags = EntityFlags(abstract=True)  # Abstract entity
    name: Name

class Dog(Animal):  # Automatically: dog sub animal in TypeDB
    breed: Breed

Documentation

See ATTRIBUTE_API.md for complete documentation.

Pydantic Integration

TypeBridge is built on Pydantic v2, giving you powerful features:

class Person(Entity):
    flags = EntityFlags(type_name="person")
    name: Name = Flag(Key)
    age: Age

# Automatic validation and type coercion
alice = Person(name=Name("Alice"), age=Age(30))

# JSON serialization
json_data = alice.model_dump_json()

# JSON deserialization
bob = Person.model_validate_json('{"name": "Bob", "age": 25}')

# Model copying
alice_copy = alice.model_copy(update={"age": Age(31)})

Running Examples

uv run python examples/basic/crud.py

Running Tests

uv run pytest tests/ -v

Requirements

• Python 3.13+
• TypeDB 3.x
• typedb-driver==3.5.5

License

MIT License