From fc7449827cfd5025a2cb5866e0fe6a395960a809 Mon Sep 17 00:00:00 2001
From: spbeach46 <spbeacg46@gmail.com>
Date: Wed, 2 Jun 2021 00:29:58 -0700
Subject: [PATCH] added option to expand pics or not. Meaning @ dl only primary
 pic will dl

---
 ebay_api.py | 62 +++++++++++++++++++++++++++++------------------------
 1 file changed, 34 insertions(+), 28 deletions(-)

diff --git a/ebay_api.py b/ebay_api.py
index 87c9acf..ff62a52 100644
--- a/ebay_api.py
+++ b/ebay_api.py
@@ -51,9 +51,11 @@ class FindingApi:
             "paginationInput.entriesPerPage":"100",
             "paginationInput.PageNumber":i,
             "itemFilter(0).name":"Condition",
-            "itemFilter(0).value":"Used",
+            "itemFilter(0).value":"Used", # recommended is conditionId instead but for some reason that doesn't work either
+            # but may not be necessary anyways if you can eleminate dupes
             "sortOrder":"StartTimeNewest",
-            "itemFilter(0).name":"HideDuplicateItems"
+            "itemFilter.name":"HideDuplicateItems", # this is working
+            "itemFilter.value":'true'
             }
 
         # TODO add try excepts here
@@ -368,43 +370,47 @@ class CurateData:
         
         * consider applying this function to other cells that have multiple values in their lists
         '''
-        expanded_class = class_training.explode('PictureURL').reset_index(drop=True)
-        expanded_class = expanded_class.dropna(subset=['PictureURL'])
-        expanded_class = expanded_class.drop_duplicates(subset=['PictureURL']).reset_index(drop=True)
+        expand = input("expand image list or use primary listing image? (y or n): ")
+        if ('y' or 'Y') in expand:
+            expanded_class = class_training.explode('PictureURL').reset_index(drop=True)
+            expanded_class = expanded_class.dropna(subset=['PictureURL'])
+            expanded_class = expanded_class.drop_duplicates(subset=['PictureURL']).reset_index(drop=True)
 
-        expanded_dropd = dropd.explode('PictureURL').reset_index(drop=True)
-        expanded_dropd = expanded_dropd.dropna(subset=['PictureURL'])
-        expanded_dropd = expanded_dropd.drop_duplicates(subset=['PictureURL']).reset_index(drop=True)
+            expanded_dropd = dropd.explode('PictureURL').reset_index(drop=True)
+            expanded_dropd = expanded_dropd.dropna(subset=['PictureURL'])
+            expanded_dropd = expanded_dropd.drop_duplicates(subset=['PictureURL']).reset_index(drop=True)
 
-        expanded_dropd = self.extract_df(expanded_dropd) # convert lists to values
+            expanded_dropd = self.extract_df(expanded_dropd) # convert lists to values
 
-        temp_pics_source_list = list(set(expanded_class.PictureURL.to_list()))
+            temp_pics_source_list = list(set(expanded_class.PictureURL.to_list()))
 
 
-        try:
-            with open('temp_pics_source_list.txt') as f:
-                tpsl = json.load(f)
-                tpsl.extend(temp_pics_source_list)
-                temp_pics_source_list = list(set(tpsl))
+            try:
+                with open('temp_pics_source_list.txt') as f:
+                    tpsl = json.load(f)
+                    tpsl.extend(temp_pics_source_list)
+                    temp_pics_source_list = list(set(tpsl))
+                    with open('temp_pics_source_list.txt', 'w') as f:
+                        json.dump(temp_pics_source_list, f)
+            except (ValueError, FileNotFoundError):
                 with open('temp_pics_source_list.txt', 'w') as f:
                     json.dump(temp_pics_source_list, f)
-        except (ValueError, FileNotFoundError):
-            with open('temp_pics_source_list.txt', 'w') as f:
-                json.dump(temp_pics_source_list, f)
 
-        # Append to master training dataframes, drop potential dupes and save
+            # Append to master training dataframes, drop potential dupes and save
 
-        expanded_class.to_csv('expanded_class.csv')
-        # expanded_class = pd.read_csv('expanded_class.csv', index_col=0)
-        # expanded_class.drop_duplicates(subset=['PictureURL']).reset_index(drop=True)
-        # expanded_class.to_csv('expanded_class.csv', mode='a', encoding='utf-8') # TODO see line 235 about views and copies
+            expanded_class.to_csv('expanded_class.csv')
+            # expanded_class = pd.read_csv('expanded_class.csv', index_col=0)
+            # expanded_class.drop_duplicates(subset=['PictureURL']).reset_index(drop=True)
+            # expanded_class.to_csv('expanded_class.csv', mode='a', encoding='utf-8') # TODO see line 235 about views and copies
 
-        expanded_dropd.to_csv('expanded_dropd.csv')
-        # expanded_dropd = pd.read_csv('expanded_dropd.csv', index_col=0)
-        # expanded_dropd.drop_duplicates(subset=['PictureURL']).reset_index(drop=True)
-        # expanded_dropd.to_csv('expanded_dropd.csv', mode='a', encoding='utf-8')
+            expanded_dropd.to_csv('expanded_dropd.csv')
+            # expanded_dropd = pd.read_csv('expanded_dropd.csv', index_col=0)
+            # expanded_dropd.drop_duplicates(subset=['PictureURL']).reset_index(drop=True)
+            # expanded_dropd.to_csv('expanded_dropd.csv', mode='a', encoding='utf-8')
 
-        return expanded_class, expanded_dropd
+            return expanded_class, expanded_dropd
+        else:
+            return
 
     def dl_pictures(self, *args):
         '''