API Response Parser

Build a configuration parser that can load user settings from multiple input formats: Python dictionaries, JSON strings, and existing configuration objects.

Requirements

Your task is to create a system that parses user configuration data from different sources. The configuration should support:

1. User Settings Structure: A user configuration with the following fields:

   • username: a string username
   • email: an email address
   • age: an integer representing the user's age
   • is_active: a boolean indicating if the account is active
   • preferences: a nested structure containing:
     • theme: a string (e.g., "light" or "dark")
     • notifications_enabled: a boolean

2. Multiple Parsing Methods: Your implementation should support parsing from:

   • Direct Python keyword arguments
   • Python dictionaries
   • JSON strings
   • Existing objects with attributes (like database ORM models or data classes)

3. Validation: The parser should validate data types and raise clear errors when validation fails

4. Export: Provide a way to export the parsed configuration back to a dictionary format

Implementation

@generates

API

# Define your user configuration model here
# It should support initialization from various input formats

Test Cases

• Loading a user configuration from keyword arguments (username="alice", email="alice@example.com", age=25, is_active=True, preferences={"theme": "dark", "notifications_enabled": True}) successfully creates a valid configuration object @test

• Loading a user configuration from a Python dictionary using an appropriate validation method successfully creates a valid configuration object @test

• Loading a user configuration from a JSON string using an appropriate validation method successfully creates a valid configuration object @test

• Loading a user configuration from an object with attributes (simulating an ORM model) using appropriate configuration successfully creates a valid configuration object @test

• Invalid data (e.g., string age instead of integer) raises a validation error with details @test

Dependencies { .dependencies }

pydantic { .dependency }

Provides data validation and parsing support.