final_recommender.py

"""
FINAL SMART RECOMMENDER SYSTEM
Embeddings + Intent + Filtering + Reranking + Keyword Boosting
"""

from filtered_search_engine import SmartRecommender
from reranker import Reranker
from keyword_boosting_layer import apply_keyword_boost  # <-- booster imported
import pandas as pd

class FinalSalahkar:

    def __init__(self):
        print("✨ Initializing Final AI Recommender...")
        self.engine = SmartRecommender()
        self.reranker = Reranker()
        self.df = pd.read_csv("salahkar_enhanced.csv")
        print("🚀 System Ready!")

    def ask(self, query, k=7):
        print("\n==============================================")
        print(f"🧠 INPUT QUERY → {query}")
        print("==============================================")

        # STEP 1 → BASE SEARCH (filtered FAISS)
        # Now returns (results_list, detected_intent)
        results, intent = self.engine.recommend(query, k=k)

        # STEP 2 → Prepare embedding text for reranking
        prepared = []
        for item in results:
            name = item["name"]
            # Find the full row for this item
            row = self.df[self.df["name"] == name].iloc[0]
            
            prepared.append({
                "name": name,
                "domain": item["domain"],
                "category": item["category"],
                "region": item["region"],
                "embedding_score": item["score"],
                "text": row["search_embedding_text"],
                "intent": intent # Pass intent for boosting
            })

        # STEP 3 → Cross-Encoder Reranking
        ranked = self.reranker.rerank(query, prepared)

        # STEP 4 → Keyword Boost (final scoring)
        boosted = apply_keyword_boost(query, ranked)

        # STEP 5 → Display final sorted results
        print("\n🏆 FINAL SMART RANKED RESULTS:")
        for i, item in enumerate(boosted[:k]):
            print(f"{i+1}. {item['name']}  |  Final Score: {round(item['final_score'], 3)}")

        return boosted


if __name__ == "__main__":
    bot = FinalSalahkar()

    bot.ask("romantic historical place india")
    bot.ask("spiritual peaceful temple")
    bot.ask("best south indian spicy breakfast")
    bot.ask("sweet festival food india")