localGPT/simple_create_index.sh

#!/bin/bash

# Simple Index Creation Script for LocalGPT RAG System
# Usage: ./simple_create_index.sh "Index Name" "path/to/document.pdf" [additional_files...]

set -e  # Exit on any error

# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color

# Function to print colored output
print_status() {
    echo -e "${BLUE}[INFO]${NC} $1"
}

print_success() {
    echo -e "${GREEN}[SUCCESS]${NC} $1"
}

print_warning() {
    echo -e "${YELLOW}[WARNING]${NC} $1"
}

print_error() {
    echo -e "${RED}[ERROR]${NC} $1"
}

# Function to check if a command exists
command_exists() {
    command -v "$1" >/dev/null 2>&1
}

# Function to check prerequisites
check_prerequisites() {
    print_status "Checking prerequisites..."
    
    # Check Python
    if ! command_exists python3; then
        print_error "Python 3 is required but not installed."
        exit 1
    fi
    
    # Check if we're in the right directory
    if [ ! -f "run_system.py" ] || [ ! -d "rag_system" ]; then
        print_error "This script must be run from the LocalGPT project root directory."
        exit 1
    fi
    
    # Check if Ollama is running
    if ! curl -s http://localhost:11434/api/tags >/dev/null 2>&1; then
        print_error "Ollama is not running. Please start Ollama first:"
        echo "  ollama serve"
        exit 1
    fi
    
    print_success "Prerequisites check passed"
}

# Function to validate documents
validate_documents() {
    local documents=("$@")
    local valid_docs=()
    
    print_status "Validating documents..."
    
    for doc in "${documents[@]}"; do
        if [ -f "$doc" ]; then
            # Check file extension
            case "${doc##*.}" in
                pdf|txt|docx|md|html|htm)
                    valid_docs+=("$doc")
                    print_status "✓ Valid document: $doc"
                    ;;
                *)
                    print_warning "Unsupported file type: $doc (skipping)"
                    ;;
            esac
        else
            print_warning "File not found: $doc (skipping)"
        fi
    done
    
    if [ ${#valid_docs[@]} -eq 0 ]; then
        print_error "No valid documents found."
        exit 1
    fi
    
    echo "${valid_docs[@]}"
}

# Function to create index using Python
create_index() {
    local index_name="$1"
    shift
    local documents=("$@")
    
    print_status "Creating index: $index_name"
    print_status "Documents: ${documents[*]}"
    
    # Create a temporary Python script to create the index
    cat > /tmp/create_index_temp.py << EOF
#!/usr/bin/env python3
import sys
import os
import json
sys.path.insert(0, os.getcwd())

from rag_system.main import PIPELINE_CONFIGS
from rag_system.pipelines.indexing_pipeline import IndexingPipeline
from rag_system.utils.ollama_client import OllamaClient
from backend.database import ChatDatabase
import uuid

def create_index_simple():
    try:
        # Initialize database
        db = ChatDatabase()
        
        # Create index record
        index_id = db.create_index(
            name="$index_name",
            description="Created with simple_create_index.sh",
            metadata={
                "chunk_size": 512,
                "chunk_overlap": 64,
                "enable_enrich": True,
                "enable_latechunk": True,
                "retrieval_mode": "hybrid",
                "created_by": "simple_create_index.sh"
            }
        )
        
        # Add documents to index
        documents = [${documents[@]/#/\"} ${documents[@]/%/\"}]
        for doc_path in documents:
            if doc_path.strip():  # Skip empty strings
                filename = os.path.basename(doc_path.strip())
                db.add_document_to_index(index_id, filename, os.path.abspath(doc_path.strip()))
        
        # Initialize pipeline
        config = PIPELINE_CONFIGS.get("default", {})
        ollama_client = OllamaClient()
        ollama_config = {
            "generation_model": "qwen3:0.6b",
            "embedding_model": "qwen3:0.6b"
        }
        
        pipeline = IndexingPipeline(config, ollama_client, ollama_config)
        
        # Process documents
        valid_docs = [doc.strip() for doc in documents if doc.strip() and os.path.exists(doc.strip())]
        if valid_docs:
            pipeline.process_documents(valid_docs)
        
        print(f"✅ Index '{index_name}' created successfully!")
        print(f"Index ID: {index_id}")
        print(f"Processed {len(valid_docs)} documents")
        
        return index_id
        
    except Exception as e:
        print(f"❌ Error creating index: {e}")
        import traceback
        traceback.print_exc()
        return None

if __name__ == "__main__":
    create_index_simple()
EOF

    # Run the Python script
    python3 /tmp/create_index_temp.py
    
    # Clean up
    rm -f /tmp/create_index_temp.py
}

# Function to show usage
show_usage() {
    echo "Usage: $0 \"Index Name\" \"path/to/document.pdf\" [additional_files...]"
    echo ""
    echo "Examples:"
    echo "  $0 \"My Documents\" \"document.pdf\""
    echo "  $0 \"Research Papers\" \"paper1.pdf\" \"paper2.pdf\" \"notes.txt\""
    echo "  $0 \"Invoice Collection\" ./invoices/*.pdf"
    echo ""
    echo "Supported file types: PDF, TXT, DOCX, MD, HTML"
}

# Main script
main() {
    # Check arguments
    if [ $# -lt 2 ]; then
        print_error "Insufficient arguments provided."
        show_usage
        exit 1
    fi
    
    local index_name="$1"
    shift
    local documents=("$@")
    
    # Check prerequisites
    check_prerequisites
    
    # Validate documents
    local valid_documents
    valid_documents=($(validate_documents "${documents[@]}"))
    
    if [ ${#valid_documents[@]} -eq 0 ]; then
        print_error "No valid documents to process."
        exit 1
    fi
    
    # Create the index
    print_status "Starting index creation process..."
    create_index "$index_name" "${valid_documents[@]}"
    
    print_success "Index creation completed!"
    print_status "You can now use the index in the LocalGPT interface."
}

# Run main function with all arguments
main "$@"