from pdf2image import convert_from_path
import os
#inget image
import os
import fitz 
import chromadb
from chromadb.utils.data_loaders import ImageLoader
from chromadb.utils.embedding_functions import OpenCLIPEmbeddingFunction # type: ignore

path = "mm_vdb2"
client = chromadb.PersistentClient(path=path)

def extract_and_store_images2(pdf_path,images_dir=r'extracted_images2'):

  output_dir = 'extracted_images2'  # Directory to save images

  # Ensure the output directory exists
  os.makedirs(output_dir, exist_ok=True)

  # Convert PDF to a list of images (one per page)
  pages = convert_from_path(pdf_path, 300)  # 300 dpi is a good resolution

  # Save each page as an image (screenshot)
  for i, page in enumerate(pages):
      output_path = os.path.join(output_dir, f'page_{i + 1}.png')
      page.save(output_path, 'PNG')
      print(f"Saved: {output_path}")

  print("Image extraction complete.")

    # Step 2: Add extracted images to ChromaDB
  image_loader = ImageLoader()
  CLIP = OpenCLIPEmbeddingFunction()
  image_collection2 = client.get_or_create_collection(name="image2", embedding_function=CLIP, data_loader=image_loader)

  ids = []
  uris = []

  for i, filename in enumerate(sorted(os.listdir(images_dir))):
      if filename.endswith('.jpeg') or filename.endswith('.png'):
          file_path = os.path.join(images_dir, filename)
          ids.append(str(i))
          uris.append(file_path)

  image_collection2.add(ids=ids, uris=uris)
  print("Images added to the database.")
    # return image_vdb
  return image_collection2