From 5a6963b371b5e1447b499ac53d23f3e7dd4adf5b Mon Sep 17 00:00:00 2001
From: scott <spbeach46@gmail.com>
Date: Sun, 28 Nov 2021 00:17:34 -0700
Subject: [PATCH] ip limit fix

---
 ebay_api.py | 17 ++++++-----------
 1 file changed, 6 insertions(+), 11 deletions(-)

diff --git a/ebay_api.py b/ebay_api.py
index 7a07998..8ef84d1 100644
--- a/ebay_api.py
+++ b/ebay_api.py
@@ -227,19 +227,20 @@ class ShoppingApi:
 
         try:
             # random sleep here between 0 and 10 secs?
+        
             sleep(randint(1,10))
             response = requests.get(url, headers=headers,timeout=24)
             response.raise_for_status()
             print('index number {}'.format(item_id_results.index(twenty_id)))
+            response = response.json()
+            response = response['Item']
 
-        except requests.exceptions.RequestException: # TODO need better handling
-            print('connection error')
+
+        except (requests.exceptions.RequestException, KeyError): # TODO need better handling
+            print('connection error. IP limit possibly exceeded')
             print('index number {}'.format(item_id_results.index(twenty_id)))
             return
 
-        response = response.json()
-        response = response['Item']
-
         return response
 
     def conky(self):
@@ -276,17 +277,11 @@ class ShoppingApi:
 
 # NOTE:
 
-# UPDATE** 76 pages seems like it might be too much. 
 # Limited to 5000 calls to shopping api per day, and getMultpileitems service maxes out at 20 items
 # per call leaving you 100,000 items per day for you pandas dataframe initially. So you'll have
 # to divide these up into the categories. This will leave you with about 6.25K results per cat.
 # More than enough data for your dataset.
 
-#class SDKTrading:
-#    api = Trading(config_file='ebay.yaml')
-#    response = api.execute('GetUser', {})
-#    print(response.dict())
-#    print(response.reply)
 
 class CurateData:
     '''