pulse-schemas 0.2.0

A pydantic schema manager

pulse-schemas

A Python package for managing user profile schemas using Pydantic.

Features

• Schema registry to store and retrieve Pydantic models
• Easily extensible for custom schemas

Installation

pip install pulse-schemas

Usage

This project includes a schema manager (SchemaRegistry) that makes it easy to register, retrieve, and validate Pydantic schemas. A default schema for creating a user profile is already included.

Import the registry

from pulse_schemas.schema import SchemaRegistry

Initialize the registry

registry = SchemaRegistry()

When initialized, the registry automatically registers the built-in schema create_user_profile.

List available schemas

print(registry.list_schemas())
# ['create_user_profile']

Retrieve a schema

ProfileSchema = registry.get_schema("create_user_profile")

Validate data against a schema

data = {
    "demographics": {"age": 28, "biological_sex": "female"},
    "dietary_preferences": ["vegetarian"],
    "allergens": ["peanuts", "milk"],
    "health_conditions": ["hypertension"],
    "goals": ["improve cardio"]
}

profile = ProfileSchema.model_validate(data)
print(profile)

If the data is invalid, Pydantic will raise a ValidationError.

Register custom schemas

You can register new schemas at runtime:

from pydantic import BaseModel

class CustomSchema(BaseModel):
    name: str
    active: bool

registry.register_schema("custom_schema", CustomSchema)
print(registry.list_schemas())
# ['create_user_profile', 'custom_schema']

Now you can retrieve and validate against custom_schema in the same way.