from colpali_manager import ColpaliManager
from milvus_manager import MilvusManager
from pdf_manager import PdfManager
import hashlib



pdf_manager = PdfManager()
colpali_manager = ColpaliManager()



class Middleware:
    def __init__(self, id:str, create_collection=True):
        #hashed_id = hashlib.md5(id.encode()).hexdigest()[:8]
        hashed_id = 0 #switched to persistent db, shld use diff id for diff accs
        milvus_db_name = f"milvus_{hashed_id}.db"
        self.milvus_manager = MilvusManager(milvus_db_name, id, create_collection) #create collections based on id rather than colpali

    def index(self, pdf_path: str, id:str, max_pages: int, pages: list[int] = None):

        if type(pdf_path) == None: #for direct query without any upload to db
            print("no docs")
            return
        
        print(f"Indexing {pdf_path}, id: {id}, max_pages: {max_pages}")

        image_paths = pdf_manager.save_images(id, pdf_path, max_pages)

        print(f"Saved {len(image_paths)} images")

        colbert_vecs = colpali_manager.process_images(image_paths)

        images_data = [{
            "colbert_vecs": colbert_vecs[i],
            "filepath": image_paths[i]
        } for i in range(len(image_paths))]

        print(f"Inserting {len(images_data)} images data to Milvus")

        self.milvus_manager.insert_images_data(images_data)

        print("Indexing completed")

        return image_paths
    
    def drop_collection(self):
        """Drop the current collection from Milvus"""
        return self.milvus_manager.drop_collection()

        
    def search(self, search_queries: list[str], topk: int = 10):
        print(f"\n🔍 MIDDLEWARE SEARCH INITIATED")
        print(f"📝 Queries to process: {len(search_queries)}")
        print(f"🎯 Top-k requested: {topk}")
        print("-" * 60)

        final_res = []

        for i, query in enumerate(search_queries, 1):
            print(f"\n🔍 Processing Query {i}/{len(search_queries)}: '{query}'")
            print(f"📊 Converting query to vector representation...")
            
            query_vec = colpali_manager.process_text([query])[0]
            print(f"✅ Query vector generated (dimension: {len(query_vec)})")
            
            print(f"🔍 Executing vector search in Milvus...")
            search_res = self.milvus_manager.search(query_vec, topk=topk)
            
            print(f"✅ Search completed: {len(search_res)} results retrieved")
            if search_res:
                print(f"📊 Score range: {search_res[0][0]:.4f} (highest) to {search_res[-1][0]:.4f} (lowest)")
            
            final_res.append(search_res)

        print(f"\n🎉 MIDDLEWARE SEARCH COMPLETED")
        print(f"📊 Total queries processed: {len(search_queries)}")
        print(f"📄 Total results across all queries: {sum(len(res) for res in final_res)}")
        print("=" * 60)

        return final_res