Image

from onenode import Image

# From file path (type detected from extension)
image = Image("path/to/image.jpg")

# From binary data (type detected from magic bytes)
with open("image.jpg", "rb") as f:
    image = Image(f.read())

# From file-like object (type detected from magic bytes)
with open("image.jpg", "rb") as f:
    image = Image(f)

# From base64 string (type detected from magic bytes)
image = Image("base64_encoded_data")

# From data URL (type extracted from URL)
image = Image("data:image/jpeg;base64,...")

# From URL (type detected from extension)
image = Image("https://example.com/image.png")

# Enable indexing
image.enable_index()

from onenode import Image, Models

# Using a specific vision model for higher quality image analysis
hero_image = Image("hero_banner.jpg")

# Configure with a high-quality vision model
vision_config = {
    "vision_model": Models.ImageToText.OpenAI.GPT_4O
}

hero_image.enable_index(**vision_config)

# Use in document
{
    "hero_banner": hero_image
}

from onenode import Image, Models

# Configure both vision and embedding models
gallery_image = Image("gallery_1.jpg")

# High-quality models for important visual content
quality_config = {
    "vision_model": Models.ImageToText.OpenAI.GPT_4O,
    "emb_model": Models.TextToEmbedding.OpenAI.TEXT_EMBEDDING_3_LARGE
}

gallery_image.enable_index(**quality_config)

# Use in document
{
    "gallery_image": gallery_image
}

from onenode import Image

# For detailed images - larger chunks to maintain context
detailed_diagram = Image("architecture_diagram.jpg")

detailed_config = {
    "max_chunk_size": 800  # Larger chunks for complex descriptions
}

detailed_diagram.enable_index(**detailed_config)

# For simple product images - smaller chunks for precise matching
product_thumb = Image("product_thumbnail.jpg")

simple_config = {
    "max_chunk_size": 200  # Smaller chunks for simple descriptions
}

product_thumb.enable_index(**simple_config)

# Use in documents
{
    "architecture_diagram": detailed_diagram,
    "product_thumbnail": product_thumb
}

from onenode import Image

# High overlap for complex visual content with interconnected elements
technical_image = Image("technical_schematic.jpg")

high_overlap_config = {
    "max_chunk_size": 400,
    "chunk_overlap": 80  # High overlap to preserve context between visual elements
}

technical_image.enable_index(**high_overlap_config)

# Low overlap for images with distinct sections
infographic = Image("business_infographic.jpg")

low_overlap_config = {
    "max_chunk_size": 400,
    "chunk_overlap": 20  # Low overlap for distinct visual sections
}

infographic.enable_index(**low_overlap_config)

# Use in documents
{
    "technical_schematic": technical_image,
    "business_infographic": infographic
}

from onenode import Image

# Custom separators for structured visual content descriptions
screenshot_image = Image("dashboard_screenshot.jpg")

# Split by UI sections in the visual description
ui_config = {
    "separators": ["Section:", "Panel:", "\n\n"],  # Split by UI elements and paragraphs
    "max_chunk_size": 300
}

screenshot_image.enable_index(**ui_config)

# Different separators for step-by-step visual content
tutorial_image = Image("tutorial_steps.jpg")

step_config = {
    "separators": ["Step \d+:", "Figure \d+:", "\n\n"],  # Split by steps and figures
    "max_chunk_size": 250
}

tutorial_image.enable_index(**step_config)

# Use in documents
{
    "dashboard_screenshot": screenshot_image,
    "tutorial_visual": tutorial_image
}