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#!/usr/bin/env python3
"""OnCall AI - Medical RAG System (Backward Compatibility)
This file provides backward compatibility with the original rag.py interface.
Import everything from the new modular structure.
"""
import sys
from pathlib import Path
# Add pdf-version directory to Python path
sys.path.insert(0, str(Path(__file__).parent))
# Import all functions for backward compatibility
from models.embedding_models import load_biomedbert_model, load_meditron_model
from data.loaders import load_annotations, filter_pdf_files
from data.pdf_processing import (
extract_pdf_text, extract_tables_from_pdf,
extract_images_ocr_from_pdf, extract_pdf_content_enhanced
)
from indexing.document_indexer import build_document_index, split_text_into_chunks
from indexing.embedding_creator import create_text_embedding, create_tag_embeddings, create_chunk_embeddings
from indexing.storage import save_document_system, load_document_system
from retrieval.document_retriever import (
find_relevant_documents_top_k, find_relevant_documents_top_p,
find_relevant_documents_threshold, find_relevant_documents,
create_document_tag_mapping
)
from retrieval.chunk_retriever import find_relevant_chunks, get_documents_for_rag, get_chunks_for_rag
from demos.demo_runner import build_medical_rag_system, demo_rag_query, demo_all_strategies
# Main function for backward compatibility
def main():
"""Main program entry compatible with original rag.py."""
try:
# Build the system with chunk embeddings
build_medical_rag_system(enable_chunk_embeddings=True)
# Demo chunk-based retrieval
print("\n" + "="*80)
print("🧩 CHUNK-BASED RETRIEVAL DEMO")
print("="*80)
demo_rag_query("chest pain and shortness of breath",
strategy="top_p", use_chunks=True, top_p=0.8)
except KeyboardInterrupt:
print("\n\n👋 User interrupted, program exiting")
except Exception as e:
print(f"\n❌ Program execution error: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
main() |