ods-models-py 0.1.7

Pydantic data models for ODS (Optikka Design System) - Python implementation

ods-models-py

Pydantic data models for the ODS (Optikka Design System) - Python implementation.

This is the Python equivalent of the @optikka/ods-models npm package, providing Pydantic models for templates, inputs, render runs, and related entities.

Installation

pip install ods-models-py

Usage

from ods_models import (
    TemplateRegistry,
    TemplateInput,
    Asset,
    Logo,
    Text,
    ImageMimeType,
    RenderRun,
    RenderRunStatus,
)

# Create an asset
asset = Asset(
    width=1920,
    height=1080,
    mime_type=ImageMimeType.PNG,
    parsing_label="hero_image",
    s3Location={"bucket": "my-bucket", "key": "image.png"},
)

# Create template input design data
from ods_models import TemplateInputDesignData

design_data = TemplateInputDesignData(
    assets=[asset],
    logos=[],
    texts=[],
    extra_data={},
)

# Use with validation
template_input = TemplateInput(
    id="123",
    template_registry_id="template-456",
    inputs=design_data,
    created_by="[e-mail]",
    updated_by="[e-mail]",
    account_id="account-789",
    studio_id="studio-101",
)

Package Contents

Base Enums

• ImageMimeType - Supported image MIME types
• ReviewStatusEnum - Review status for workflows
• ImageTypeEnum - Image type classification
• BatchTypeEnum, BatchStatusEnum - Workflow batch types
• ExecutionStatusEnum - Kore execution status

Models

Template System

• TemplateRegistry - Template metadata and configuration
• TemplateInput - Template input with design data
• Asset, Logo, Text - Design data elements
• InputParameters - Template input specifications
• CanvasGlobals - Canvas configuration (presets, guides, grids)

Rendering

• RenderRun - Batch rendering operations
• TargetInputJob - Target input job processing

Images & Workflows

• Image - Image entity
• WorkflowExecutionResult - Workflow execution results
• WorkflowBatch - Workflow batch entity
• KoreExecution - Kore execution entity

Supporting Models

• GuideDoc - Canvas guide definitions
• FlexPreset - Canvas aspect ratio presets
• AssetSpecs, LogoSpecs, TextSpecs - Input specifications

Features

✅ Type Safety: Full Pydantic validation with Python type hints ✅ Compatible: Matches TypeScript models in @optikka/ods-models ✅ Validated: Runtime validation with Pydantic v2 ✅ Documented: Comprehensive docstrings and examples

Dependencies

• pydantic>=2.6.1,<3.0.0
• ods-types-py>=0.1.0,<1.0.0

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black src/ tests/

# Lint
ruff check src/ tests/

# Type check
mypy src/

Related Packages

• ods-types-py - Core types and enums
• optikka-design-data-layer - AWS utilities and clients

License

PROPRIETARY - Optikka