app.py

import gradio as gr
import requests
import json
import re
import time
from datetime import datetime, timedelta
import logging
from typing import Dict, Any, Optional, List

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Configuration
MCP_URL = "https://bright-moons-tease.loca.lt/mcp"
API_URL = "https://api-inference.huggingface.co/models/microsoft/DialoGPT-medium"

# Fallback API URLs in case primary fails
FALLBACK_APIS = [
    "https://api-inference.huggingface.co/models/microsoft/DialoGPT-small",
    "https://api-inference.huggingface.co/models/gpt2"
]

class MCPSAPClient:
    def __init__(self):
        self.session = requests.Session()
        self.session.timeout = 30
        self.max_retries = 3
        self.retry_delay = 2
        
    def query_llm_with_fallback(self, prompt: str, max_length: int = 150) -> str:
        """Query LLM with fallback options and retry logic"""
        apis_to_try = [API_URL] + FALLBACK_APIS
        
        for api_url in apis_to_try:
            for attempt in range(self.max_retries):
                try:
                    logger.info(f"Attempting LLM query with {api_url}, attempt {attempt + 1}")
                    
                    # Different payload formats for different APIs
                    if "DialoGPT" in api_url:
                        payload = {
                            "inputs": prompt,
                            "parameters": {
                                "max_new_tokens": max_length,
                                "temperature": 0.3,
                                "return_full_text": False
                            }
                        }
                    else:
                        payload = {
                            "inputs": prompt,
                            "parameters": {
                                "max_length": max_length,
                                "temperature": 0.3
                            }
                        }
                    
                    response = self.session.post(
                        api_url,
                        json=payload,
                        timeout=30
                    )
                    
                    if response.status_code == 200:
                        result = response.json()
                        
                        # Handle different response formats
                        if isinstance(result, list) and len(result) > 0:
                            if "generated_text" in result[0]:
                                return result[0]["generated_text"]
                            elif "text" in result[0]:
                                return result[0]["text"]
                        elif isinstance(result, dict):
                            if "generated_text" in result:
                                return result["generated_text"]
                            elif "text" in result:
                                return result["text"]
                        
                        return str(result)
                        
                    elif response.status_code == 503:
                        logger.warning(f"Model loading, waiting {self.retry_delay} seconds...")
                        time.sleep(self.retry_delay)
                        continue
                    else:
                        logger.warning(f"API returned status {response.status_code}")
                        time.sleep(self.retry_delay)
                        continue
                        
                except requests.exceptions.RequestException as e:
                    logger.error(f"Request failed: {e}")
                    if attempt < self.max_retries - 1:
                        time.sleep(self.retry_delay)
                        continue
                    
                except Exception as e:
                    logger.error(f"Unexpected error: {e}")
                    if attempt < self.max_retries - 1:
                        time.sleep(self.retry_delay)
                        continue
            
            logger.warning(f"All attempts failed for {api_url}, trying next API...")
        
        # If all APIs fail, return a fallback response
        return "Unable to process with LLM, using fallback parsing"
    
    def extract_query_params_robust(self, query: str) -> Dict[str, Any]:
        """Extract parameters with multiple strategies"""
        
        # Strategy 1: Try LLM extraction
        try:
            prompt = f"""
            Extract date and quantity from this query: '{query}'
            Return only JSON format:
            {{"date_from":"YYYY-MM-DD","min_quantity":number}}
            
            Examples:
            - "orders after 2023-04-01 with at least 10 units" -> {{"date_from":"2023-04-01","min_quantity":10}}
            - "show me orders from last month" -> {{"date_from":"2023-11-01","min_quantity":0}}
            """
            
            llm_response = self.query_llm_with_fallback(prompt)
            logger.info(f"LLM Response: {llm_response}")
            
            # Try to extract JSON from response
            json_match = re.search(r'\\{[^}]*\\}', llm_response, re.DOTALL)
            if json_match:
                json_text = json_match.group()
                parsed = json.loads(json_text)
                if "date_from" in parsed and "min_quantity" in parsed:
                    return parsed
                    
        except Exception as e:
            logger.warning(f"LLM extraction failed: {e}")
        
        # Strategy 2: Rule-based extraction
        return self.extract_params_rule_based(query)
    
    def extract_params_rule_based(self, query: str) -> Dict[str, Any]:
        """Fallback rule-based parameter extraction"""
        params = {"date_from": "2023-01-01", "min_quantity": 0}
        
        # Date extraction patterns
        date_patterns = [
            r'(\\d{4}-\\d{2}-\\d{2})',  # YYYY-MM-DD
            r'(\\d{2}/\\d{2}/\\d{4})',  # MM/DD/YYYY
            r'(\\d{1,2}/\\d{1,2}/\\d{4})',  # M/D/YYYY
        ]
        
        for pattern in date_patterns:
            match = re.search(pattern, query)
            if match:
                date_str = match.group(1)
                try:
                    # Convert to YYYY-MM-DD format
                    if '-' in date_str:
                        params["date_from"] = date_str
                    elif '/' in date_str:
                        parts = date_str.split('/')
                        if len(parts) == 3:
                            params["date_from"] = f"{parts[2]}-{parts[0].zfill(2)}-{parts[1].zfill(2)}"
                    break
                except:
                    continue
        
        # Quantity extraction
        quantity_patterns = [
            r'at least (\\d+)',
            r'minimum (\\d+)',
            r'more than (\\d+)',
            r'> ?(\\d+)',
            r'greater than (\\d+)'
        ]
        
        for pattern in quantity_patterns:
            match = re.search(pattern, query, re.IGNORECASE)
            if match:
                try:
                    params["min_quantity"] = int(match.group(1))
                    break
                except:
                    continue
        
        # Handle relative dates
        if "last month" in query.lower():
            last_month = datetime.now() - timedelta(days=30)
            params["date_from"] = last_month.strftime("%Y-%m-%d")
        elif "last week" in query.lower():
            last_week = datetime.now() - timedelta(days=7)
            params["date_from"] = last_week.strftime("%Y-%m-%d")
        elif "yesterday" in query.lower():
            yesterday = datetime.now() - timedelta(days=1)
            params["date_from"] = yesterday.strftime("%Y-%m-%d")
        elif "today" in query.lower():
            params["date_from"] = datetime.now().strftime("%Y-%m-%d")
        
        return params
    
    def query_mcp_server(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """Query MCP server with proper error handling"""
        for attempt in range(self.max_retries):
            try:
                payload = {
                    "jsonrpc": "2.0",
                    "method": "SAP.getFilteredProcOrder",
                    "params": params,
                    "id": f"dynamic-{int(time.time())}"
                }
                
                logger.info(f"MCP Request (attempt {attempt + 1}): {json.dumps(payload, indent=2)}")
                
                response = self.session.post(
                    MCP_URL,
                    json=payload,
                    timeout=30
                )
                
                if response.status_code == 200:
                    result = response.json()
                    logger.info(f"MCP Response: {json.dumps(result, indent=2)}")
                    return result
                else:
                    logger.warning(f"MCP server returned status {response.status_code}: {response.text}")
                    if attempt < self.max_retries - 1:
                        time.sleep(self.retry_delay)
                        continue
                    else:
                        return {"error": f"MCP server error: {response.status_code}"}
                        
            except requests.exceptions.RequestException as e:
                logger.error(f"MCP request failed (attempt {attempt + 1}): {e}")
                if attempt < self.max_retries - 1:
                    time.sleep(self.retry_delay)
                    continue
                else:
                    return {"error": f"Connection failed: {str(e)}"}
        
        return {"error": "Max retries exceeded"}
    
    def format_sap_results(self, results: List[Dict[str, Any]]) -> str:
        """Format SAP results for display"""
        if not results:
            return "✅ Query executed successfully, but no matching orders found.\\n\\nTry adjusting your criteria:\\n- Use a different date range\\n- Lower the quantity threshold\\n- Check if the SAP system has data for the specified period"
        
        formatted_results = []
        formatted_results.append(f"📊 **Found {len(results)} matching orders:**\\n")
        
        for i, result in enumerate(results, 1):
            order_id = result.get('ProcessOrderConfirmation', 'N/A')
            material = result.get('Material', 'N/A')
            quantity = result.get('ConfirmedYieldQuantity', 'N/A')
            unit = result.get('ConfirmedYieldQuantityUnit', '')
            posting_date = result.get('PostingDate', 'N/A')
            
            formatted_results.append(
                f"**Order {i}:**\\n"
                f"• Order ID: {order_id}\\n"
                f"• Material: {material}\\n"
                f"• Quantity: {quantity} {unit}\\n"
                f"• Posting Date: {posting_date}\\n"
            )
        
        return "\\n".join(formatted_results)
    
    def agent_query(self, user_query: str) -> str:
        """Main query processing function"""
        if not user_query.strip():
            return "❌ Please enter a query about SAP orders."
        
        try:
            # Step 1: Extract parameters
            logger.info(f"Processing query: {user_query}")
            params = self.extract_query_params_robust(user_query)
            logger.info(f"Extracted parameters: {params}")
            
            # Step 2: Query MCP server
            response = self.query_mcp_server(params)
            
            # Step 3: Handle response
            if "error" in response:
                return f"❌ **Error:** {response['error']}\\n\\n**Troubleshooting:**\\n- Check if your MCP server is running\\n- Verify the server URL is correct\\n- Ensure the SAP system is accessible"
            
            results = response.get("result", [])
            
            # Step 4: Format results
            formatted_output = self.format_sap_results(results)
            
            # Add query info
            query_info = f"\\n\\n📝 **Query Details:**\\n• Date from: {params.get('date_from', 'N/A')}\\n• Minimum quantity: {params.get('min_quantity', 0)}"
            
            return formatted_output + query_info
            
        except Exception as e:
            logger.error(f"Unexpected error in agent_query: {e}")
            return f"❌ **Unexpected Error:** {str(e)}\\n\\nPlease try again or contact support if the issue persists."

# Initialize the client
client = MCPSAPClient()

# Example queries for users
example_queries = [
    "Show me orders after 2023-04-01 with at least 10 units",
    "Orders from last month with minimum 5 quantity",
    "Find orders from 2023-06-15 with at least 20 units",
    "Show me all orders from last week",
    "Orders with quantity greater than 50 from 2023-05-01"
]

# Create Gradio interface
def create_interface():
    with gr.Blocks(title="SAP MCP Agent", theme=gr.themes.Soft()) as iface:
        gr.Markdown("""
        # 🔍 SAP MCP Agent
        
        Query your SAP system naturally using the Model Context Protocol (MCP).
        
        **How to use:**
        - Ask about orders using natural language
        - Specify dates and quantities in your query
        - The system will extract parameters and query SAP for you
        
        **Example queries:**
        """)
        
        with gr.Row():
            with gr.Column():
                query_input = gr.Textbox(
                    label="Enter your SAP query",
                    placeholder="e.g., 'Show me orders after 2023-04-01 with at least 10 units'",
                    lines=2
                )
                
                submit_btn = gr.Button("🔍 Query SAP", variant="primary")
                
                gr.Markdown("**Example queries:**")
                example_buttons = []
                for example in example_queries:
                    btn = gr.Button(f"📋 {example}", size="sm")
                    example_buttons.append(btn)
            
            with gr.Column():
                output = gr.Textbox(
                    label="Results",
                    lines=15,
                    max_lines=20,
                    show_copy_button=True
                )
        
        # Event handlers
        submit_btn.click(
            client.agent_query,
            inputs=[query_input],
            outputs=[output]
        )
        
        # Example button handlers
        for btn, example in zip(example_buttons, example_queries):
            btn.click(
                lambda x=example: x,
                outputs=[query_input]
            )
    
    return iface

# Create and launch the interface
if __name__ == "__main__":
    iface = create_interface()
    iface.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=True,
        show_error=True
    )