services/pinecone_service.py

import os
from pinecone import Pinecone
from dotenv import load_dotenv
from typing import List, Dict, Any

# Load environment variables
load_dotenv()

PINECONE_API_KEY = os.getenv("PINECONE_API_KEY")
if not PINECONE_API_KEY:
    raise ValueError("PINECONE_API_KEY is missing! Check your .env file.")

INDEX_NAME = "unsplash-index-session"
NAMESPACE = "image-search-dataset"

# Initialize Pinecone Client
pc = Pinecone(api_key=PINECONE_API_KEY)
index = pc.Index(INDEX_NAME)

def search_similar_images(query_embedding: List[float], top_k: int = 10) -> List[Dict[str, Any]]:
    """Search for similar images in Pinecone using the given embedding."""
    try:
        results = index.query(
            vector=query_embedding,
            top_k=top_k,
            include_metadata=True,
            namespace=NAMESPACE
        )

        cleaned_results = []
        for match in results.get("matches", []):
            metadata = match.get("metadata", {})
            cleaned_results.append({
                "id": match["id"],
                "score": float(match["score"]),
                "url": metadata.get("url", "")
            })
            
        return cleaned_results
        
    except Exception as e:
        print(f"❌ Error querying Pinecone: {e}")
        return []