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"""
Image Search Tool - Search images using DuckDuckGo for reference in image generation .
"""
import json
import logging
from langchain . tools import tool
from src . config import get_app_config
logger = logging . getLogger ( __name__ )
def _search_images (
query : str ,
max_results : int = 5 ,
region : str = " wt-wt " ,
safesearch : str = " moderate " ,
size : str | None = None ,
color : str | None = None ,
type_image : str | None = None ,
layout : str | None = None ,
license_image : str | None = None ,
) - > list [ dict ] :
"""
Execute image search using DuckDuckGo .
Args :
query : Search keywords
max_results : Maximum number of results
region : Search region
safesearch : Safe search level
size : Image size ( Small / Medium / Large / Wallpaper )
color : Color filter
type_image : Image type ( photo / clipart / gif / transparent / line )
layout : Layout ( Square / Tall / Wide )
license_image : License filter
Returns :
List of search results
"""
try :
from ddgs import DDGS
except ImportError :
logger . error ( " ddgs library not installed. Run: pip install ddgs " )
return [ ]
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ddgs = DDGS ( timeout = 30 )
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try :
kwargs = {
" region " : region ,
" safesearch " : safesearch ,
" max_results " : max_results ,
}
if size :
kwargs [ " size " ] = size
if color :
kwargs [ " color " ] = color
if type_image :
kwargs [ " type_image " ] = type_image
if layout :
kwargs [ " layout " ] = layout
if license_image :
kwargs [ " license_image " ] = license_image
results = ddgs . images ( query , * * kwargs )
return list ( results ) if results else [ ]
except Exception as e :
logger . error ( f " Failed to search images: { e } " )
return [ ]
@tool ( " image_search " , parse_docstring = True )
def image_search_tool (
query : str ,
max_results : int = 5 ,
size : str | None = None ,
type_image : str | None = None ,
layout : str | None = None ,
) - > str :
""" Search for images online. Use this tool BEFORE image generation to find reference images for characters, portraits, objects, scenes, or any content requiring visual accuracy.
* * When to use : * *
- Before generating character / portrait images : search for similar poses , expressions , styles
- Before generating specific objects / products : search for accurate visual references
- Before generating scenes / locations : search for architectural or environmental references
- Before generating fashion / clothing : search for style and detail references
The returned image URLs can be used as reference images in image generation to significantly improve quality .
Args :
query : Search keywords describing the images you want to find . Be specific for better results ( e . g . , " Japanese woman street photography 1990s " instead of just " woman " ) .
max_results : Maximum number of images to return . Default is 5.
size : Image size filter . Options : " Small " , " Medium " , " Large " , " Wallpaper " . Use " Large " for reference images .
type_image : Image type filter . Options : " photo " , " clipart " , " gif " , " transparent " , " line " . Use " photo " for realistic references .
layout : Layout filter . Options : " Square " , " Tall " , " Wide " . Choose based on your generation needs .
"""
config = get_app_config ( ) . get_tool_config ( " image_search " )
# Override max_results from config if set
if config is not None and " max_results " in config . model_extra :
max_results = config . model_extra . get ( " max_results " , max_results )
results = _search_images (
query = query ,
max_results = max_results ,
size = size ,
type_image = type_image ,
layout = layout ,
)
if not results :
return json . dumps ( { " error " : " No images found " , " query " : query } , ensure_ascii = False )
normalized_results = [
{
" title " : r . get ( " title " , " " ) ,
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" image_url " : r . get ( " thumbnail " , " " ) ,
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" thumbnail_url " : r . get ( " thumbnail " , " " ) ,
}
for r in results
]
output = {
" query " : query ,
" total_results " : len ( normalized_results ) ,
" results " : normalized_results ,
" usage_hint " : " Use the ' image_url ' values as reference images in image generation. Download them first if needed. " ,
}
return json . dumps ( output , indent = 2 , ensure_ascii = False )