diff --git a/test_store.py b/test_store.py
index 186bd79..a06d051 100644
--- a/test_store.py
+++ b/test_store.py
@@ -7,10 +7,62 @@
 '''
 TODO: Finish this test by...
 1) Creating a function to test the PATCH request /store/order/{order_id}
+import requests
+from app.schemas import order
+
+Base_URL= " http://localhost:8000"
+def test_patch_order(order_data):
+create_resp= requests.post(f"{base_URL}/store/order",json=order_data)
+assert create_resp.status_code in[200,201]
+
+order_id= order_data["id"]
+patch_payload={
+"status": "delivered",
+"complete": True
+}
+
+patch_resp= requests.patch("f{Base_URL}/store/order/{order_id}", json= patch_payload)
+
+assert patch_resp.status_code==200
+
+json_resp= patch_resp.json()
+assert json_resp.get("message")==" order and pet status updated successfully"
+
+updated_order= order(**json_resp["order"])
+assert updated_order.status == "delivered"
+assert updated_order.complete is true
+
 2) *Optional* Consider using @pytest.fixture to create unique test data for each run
+
+import pytest    
+import random
+
+@pytest.fixture
+def order_data():
+"""fixture that creates a unique order payload for each test run."""
+return{
+"id": random.randint(1000,9999),
+"petid": random.randint(100,999),
+"quantity":1,
+"shipDate": "2025-11-04T00:00:00.000z",
+"status": "placed",
+"complete": false
+}
 2) *Optional* Consider creating an 'Order' model in schemas.py and validating it in the test
+ from pydantic import Basemodel
+ from typing import Optional
+
+ Class Order(Basemodel):
+ id: int
+ petId: int
+ quantity: int
+ shipDate: Optional[Str]= None
+ status: str
+ complete: bool
+
 3) Validate the response codes and values
 4) Validate the response message "Order and pet status updated successfully"
+
 '''
 def test_patch_order_by_id():
     pass