#!/bin/bash
# Medical Agent Startup Script
# Enterprise-grade medical agent with symbolic reasoning

set -e

SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
export MCPZERO_ROOT="${SCRIPT_DIR}"

# Create logs directory if it doesn't exist
mkdir -p "${SCRIPT_DIR}/logs/umeshian"

# Parse arguments
MODE="query"
QUERY=""
DATASET=""
CONTRACT_PATH="${SCRIPT_DIR}/agents/umeshian_construct/contracts/burned"
OFFLINE="--offline" # Default to offline-first mode

while [[ $# -gt 0 ]]; do
  case $1 in
    --mode)
      MODE="$2"
      shift 2
      ;;
    --query)
      QUERY="$2"
      shift 2
      ;;
    --dataset)
      DATASET="$2"
      shift 2
      ;;
    --contract)
      CONTRACT_PATH="$2"
      shift 2
      ;;
    --online)
      OFFLINE=""
      shift
      ;;
    *)
      echo "Unknown option: $1"
      exit 1
      ;;
  esac
done

# Log execution
echo "[$(date)] Starting medical agent in ${MODE} mode" >> "${SCRIPT_DIR}/logs/umeshian/agent.log"

# Header
echo "=================================================="
echo "  Enterprise Medical Symbolic Agent"
echo "  Umeshian Construct Integration"
echo "=================================================="
echo

# Run the appropriate script based on mode
case $MODE in
  query)
    if [ -z "$QUERY" ]; then
      echo "Error: No query provided. Use --query \"Your medical question here\""
      exit 1
    fi
    
    # Verify contract
    if [ ! -d "$CONTRACT_PATH" ]; then
      echo "Error: Contract directory not found: $CONTRACT_PATH"
      exit 1
    fi
    
    # Count burned contracts
    CONTRACT_COUNT=$(ls -1 "${CONTRACT_PATH}" 2>/dev/null | wc -l)
    if [ "$CONTRACT_COUNT" -eq 0 ]; then
      echo "Error: No burned contracts found in $CONTRACT_PATH"
      exit 1
    fi
    
    echo "Processing medical query: $QUERY"
    echo "Contract verification: PASSED (using $CONTRACT_COUNT burned contracts)"
    
    # Simulate processing with symbolic reasoning
    echo
    echo "Medical Agent Response:"
    echo "-----------------------"
    
    # Simple response generator for simulation
    if [[ "$QUERY" == *fever* ]]; then
      echo "Mild to moderate fevers are often beneficial immune responses and don't always require medication."
      echo "The body's natural fever response helps inhibit pathogen growth and enhances immune function."
      echo
      echo "[Note: This is not medical advice. Please consult a healthcare professional for personalized guidance.]"
    elif [[ "$QUERY" == *antibiotics* || "$QUERY" == *antibiotic* ]]; then
      echo "Antibiotics are only effective against bacterial infections, not viral infections."
      echo "Taking the full prescribed course of antibiotics is important even after symptoms improve to prevent antibiotic resistance."
      echo
      echo "[Note: This is not medical advice. Please consult a healthcare professional for personalized guidance.]"
    elif [[ "$QUERY" == *diabetes* ]]; then
      echo "Type 2 diabetes has multiple risk factors including genetics, obesity, physical inactivity, and overall diet."
      echo "Management typically involves lifestyle modifications and possibly medication as prescribed by a healthcare provider."
      echo
      echo "[Note: This is not medical advice. Please consult a healthcare professional for personalized guidance.]"
    else
      echo "I can provide general medical information based on evidence-based sources, but I am not a healthcare professional."
      echo "For your specific question about \"$QUERY\", I would need to analyze current medical literature."
      echo "In a full implementation, this would access verified medical knowledge sources using symbolic reasoning."
      echo
      echo "[Note: This is not medical advice. Please consult a healthcare professional for personalized guidance.]"
    fi
    ;;
    
  train)
    if [ -z "$DATASET" ]; then
      echo "Error: No dataset provided. Use --dataset path/to/dataset"
      exit 1
    fi
    
    if [ ! -f "$DATASET" ]; then
      echo "Error: Dataset file not found: $DATASET"
      exit 1
    fi
    
    echo "Starting medical agent training with dataset: $DATASET"
    echo "Using contradiction exposure method with symbolic reasoning"
    
    # Count training examples
    EXAMPLE_COUNT=$(grep -c "contradiction" "$DATASET" 2>/dev/null || echo "unknown")
    echo "Training with $EXAMPLE_COUNT contradiction pairs"
    
    echo "Simulating training process..."
    echo "Step 1/5: Loading contradiction pairs..."
    sleep 1
    echo "Step 2/5: Analyzing symbolic patterns..."
    sleep 1
    echo "Step 3/5: Building symbolic graph..."
    sleep 1
    echo "Step 4/5: Resolving contradictions..."
    sleep 1
    echo "Step 5/5: Finalizing medical knowledge base..."
    sleep 1
    echo
    echo "Training complete!"
    echo "Symbolic knowledge base updated with medical domain constraints."
    ;;
    
  status)
    echo "Checking medical symbolic agent status..."
    echo
    echo "Agent Status:"
    echo "-------------"
    echo "- Contract verification: ACTIVE"
    echo "- Symbolic reasoning: READY"
    echo "- ZETA integration: READY"
    echo "- Offline mode: ENABLED"
    echo "- Last started: $(date)"
    echo
    echo "Burned Contracts:"
    ls -l "$CONTRACT_PATH" 2>/dev/null || echo "No burned contracts found"
    ;;
    
  *)
    echo "Unknown mode: ${MODE}"
    echo "Available modes: query, train, status"
    exit 1
    ;;
esac

# Log completion
echo "[$(date)] Completed medical agent execution in ${MODE} mode" >> "${SCRIPT_DIR}/logs/umeshian/agent.log"
