Update main.py

main.py

@@ -18,7 +18,7 @@ app.add_middleware(
 
 # Declare the continuous function as an async function.
 #async def your_continuous_function():
-def your_continuous_function(X_Tenant):
+def your_continuous_function_old(X_Tenant):
     import pandas as pd
     while True:
         print("data fetcher running.....")
@@ -77,6 +77,49 @@ def your_continuous_function(X_Tenant):
 #     # Start the continuous function as a background task.
 #     asyncio.create_task(your_continuous_function())
 
+async def fetch_data(session, url, headers):
+    async with session.get(url, headers=headers) as response:
+        return await response.json()
+
+
+async def your_continuous_function(X_Tenant):
+    combined_df = pd.DataFrame()
+    base_url = "https://dev3.api.curfox.parallaxtec.com/api/ml/order-list"
+    headers = {
+        'Accept': 'application/json',
+        'X-Tenant': X_Tenant,
+        'Authorization': 'Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJhdWQiOiIxIiwianRpIjoiZWQzYjVkN2JkNTU5YmQxNWNmYzdiNThhM2UyZDlmNGEyMGQzMDFjMWY4ZWVlNDY2ZDBlZTAxYmMzZmVjMTU1ZWNjNzMxOWUxMGUxZGY3NDMiLCJpYXQiOjE3MDIyNzIyMDcuNjg0OTE2LCJuYmYiOjE3MDIyNzIyMDcuNjg0OTIzLCJleHAiOjE3MzM4OTQ2MDcuNjczNDYyLCJzdWIiOiIxIiwic2NvcGVzIjpbXX0.NFZvGO0GjoD7u3FRiIewRRoWu7ouUmKTKnCei8LMwQWzLntBLYcj_Bs21amjcHtzdbQNyCovHSDHJQaLJnD04kY1JRAdDC_OLi2YiZoSvnSJxNjWiuC4kwNE59Ndwu3o2iAzB-nd1EvyMnU_na7WxICRP8OegrpM-_q6M-wgnv7igaNeWjdxnXdtxbr-Zz7N2Xv2skWZwoDce37kWvH1tK7eqMK0uWqqyhBpli22CmkKPduHUNKMNOEnGTskeDaTuX5za2Lr8CNa34_FdKu3Y5CrFMGDBHT_UGALocpr80_38iifXm7WDl6ZIA1iYy6dBvCTeoC_aFo1X5FIrFbJgMCokW4VH0Q2ljm9ty0W7ATAiKrM1GIVFS5Dir4A1KI3LSeE459SqZpqsoJmaU95zSYbfnU_oZ9UpvW59nFgD6yJ8hGHyYnjhCS0jmxk3cq93T9X1rNWo2t0A3XYXgqZYnZrZpdrSbn-JVoX_NW1QC6RtmAGm7AtZ3GBrzxwu3m_7MicMI7Tu4W6d2WD9kZjq0khBUrm2DVZJzN2BRmH-a7JkAqJ0icpHQ_2Tc6T-95axebp6QEmHHXBKILNNwWxucZ0l-Ny0TuUivqn0m9gSJJDkA8ssWyBkzzJ9fUeRmJGbUFTeemPhMrF3_cvTUZ0J7IC2CK7qWePcHPQ-sy0is4'
+    }
+    
+    async with aiohttp.ClientSession() as session:
+        # Fetch the order count to determine the number of pages
+        order_metadata_url = "https://dev3.api.curfox.parallaxtec.com/api/ml/order-metadata"
+        metadata_response = await fetch_data(session, order_metadata_url, headers)
+        order_count = metadata_response["data"]["order_count"] // 200 + 2
+        
+        tasks = []
+        for page in range(1, 30):
+            page_url = f"{base_url}?sort=id&paginate=200&page={page}"
+            tasks.append(fetch_data(session, page_url, headers))
+        
+        responses = await asyncio.gather(*tasks)
+        
+        for json_response in responses:
+            data = json_response.get('data', [])
+            if data:
+                df = pd.json_normalize(data)
+                combined_df = pd.concat([combined_df, df], ignore_index=True)
+        
+        # After processing, you can return the DataFrame as a response or save it as needed.
+        # Here, for example, we're just returning the number of rows fetched.
+        
+        print("data collected....")
+        data = combined_df[combined_df['status.name'].isin(['RETURN TO CLIENT', 'DELIVERED'])]
+        data = data[['delivery_possibility','status.name']]
+        data = data[data['delivery_possibility'].between(0, 100)]
+        return data
+
+
 @app.get("/kpi_results")
 def read_root(X_Tenant):
     data = your_continuous_function(X_Tenant)