Resume tokens example using FastMCP

examples/fastmcp/resume_tokens.py

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+# resume_tokens.py
+"""MCP Server demonstrating resume tokens."""
+
+import logging
+import asyncio
+import uuid
+from typing import Dict, Optional, Any, List
+from pydantic import BaseModel
+
+from mcp.server import fastmcp
+
+# --- Basic Setup ---
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+class OrderData(BaseModel):
+    total_amount: float
+
+class OrderResult(BaseModel):
+    order_id: str
+    total_amount: float
+
+class OrderProgress(BaseModel):
+    order_id: str
+    status: str
+    progress_percentage: int
+    current_step: str
+    result: Optional[OrderResult] = None
+    error: Optional[str] = None
+
+# Global steps definition
+ORDER_STEPS: List[OrderProgress] = [
+    OrderProgress(order_id="", status="processing", progress_percentage=15, current_step="Validating order data"),
+    OrderProgress(order_id="", status="processing", progress_percentage=30, current_step="Checking inventory"),
+    OrderProgress(order_id="", status="processing", progress_percentage=50, current_step="Processing payment"),
+    OrderProgress(order_id="", status="processing", progress_percentage=70, current_step="Allocating resources"),
+    OrderProgress(order_id="", status="processing", progress_percentage=85, current_step="Preparing shipment"),
+    OrderProgress(order_id="", status="completed", progress_percentage=100, current_step="Finalizing order")
+]
+
+# Global storage for order operations (in production, use proper database/cache)
+order_operations: Dict[str, OrderProgress] = {}
+
+# Map resume tokens to order IDs
+resume_token_to_order_id: Dict[str, str] = {}
+order_id_to_latest_token: Dict[str, str] = {}
+# Store original order data for validation
+order_id_to_order_data: Dict[str, OrderData] = {}
+
+# --- MCP Server Setup ---
+mcp = fastmcp.FastMCP("OrderCreation", port=8090, stateless_http=True)
+
+
+# --- Async Order Creation Workflow ---
+async def fake_order_creation_workflow(order_id: str, order_data: OrderData) -> None:
+    """
+    Simulated async order creation workflow using global steps.
+    Each step takes 10 seconds.
+    """
+    for step in ORDER_STEPS:
+        # Update progress
+        order_operations[order_id].status = step.status
+        order_operations[order_id].progress_percentage = step.progress_percentage
+        order_operations[order_id].current_step = step.current_step
+
+        # Set result if this is the completion step
+        if step.status == "completed":
+            order_operations[order_id].result = OrderResult(
+                order_id=order_id,
+                total_amount=order_data.total_amount
+            )
+
+        logger.info(f"Order {order_id}: {step.current_step} ({step.progress_percentage}%)")
+
+        # Wait 10 seconds for each step
+        await asyncio.sleep(10)
+
+
+def start_order_creation(order_data: OrderData) -> str:
+    """Start a new order creation process and return the order ID."""
+    order_id = str(uuid.uuid4())
+
+    # Initialize progress tracking
+    progress = OrderProgress(
+        order_id=order_id,
+        status="started",
+        progress_percentage=0,
+        current_step="Initializing order creation"
+    )
+
+    # Store in global storage
+    order_operations[order_id] = progress
+    order_id_to_order_data[order_id] = order_data
+
+    # Start the async workflow in a new task
+    asyncio.create_task(fake_order_creation_workflow(order_id, order_data))
+
+    return order_id
+
+
+def generate_new_resume_token(order_id: str) -> str:
+    """Generate a new resume token for an order and update mappings."""
+    new_token = str(uuid.uuid4())
+
+    # Clean up old token mapping if exists
+    old_token = order_id_to_latest_token.get(order_id)
+    if old_token and old_token in resume_token_to_order_id:
+        del resume_token_to_order_id[old_token]
+
+    # Set up new mapping
+    resume_token_to_order_id[new_token] = order_id
+    order_id_to_latest_token[order_id] = new_token
+
+    return new_token
+
+# --- Tool Definitions ---
+@mcp.tool(
+    name="create_order",
+    description="Create an order in the database. Can start a new order or check status with resume token.",
+)
+def create_order(order_data: Optional[dict] = None, resume_token: Optional[str] = None) -> dict:
+    """
+    Create an order in the database or check status of existing order.
+
+    Args:
+        order_data: Dictionary containing order information (required for new orders)
+        resume_token: UUID token to check status of existing order (optional)
+
+    Returns:
+        Dictionary with order status and optional resume token
+    """
+    if resume_token:
+        # Get order ID from resume token
+        order_id = resume_token_to_order_id.get(resume_token)
+
+        # Validate order data if provided
+        if order_data:
+            current_order_data = OrderData(**order_data)
+            original_order_data = order_id_to_order_data.get(order_id)
+
+            if original_order_data and current_order_data.model_dump_json() != original_order_data.model_dump_json():
+                return {
+                    "error": "Order data mismatch. The provided order data does not match the original request.",
+                    "order_id": order_id,
+                }
+
+    else:
+        # Create new order
+        order_data_model = OrderData(**order_data) if order_data else OrderData(total_amount=0.0, items=[])
+        order_id = start_order_creation(order_data_model)
+
+    # Get progress and convert to dict
+    progress = order_operations[order_id]
+    result = progress.model_dump()
+
+    # Add resume token if still in progress
+    if progress.status in ["started", "processing"]:
+        result["next_resume_token"] = generate_new_resume_token(order_id)
+
+    return result
+
+
+if __name__ == "__main__":
+    mcp.run(transport="streamable-http")