scott/ebay-ml-lister
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completed conditional to check for itemId existence in csv data and 20-itemId string list generator

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spbeach46 2020-10-08 03:07:41 -07:00
parent 873050f898
commit 9d02381140
1 changed files with 4 additions and 7 deletions
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11
shopping_api.py
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@ -14,9 +14,9 @@ class FindingApi:
]
pageNumber = list(range(1, 63))
# departments = ["3034","93427"]
# departments = ["3034","93427"] (womens and mens)
def get_ids(self):
def get_ids_from_cats():
itemid_results_list = []
for category_id in cat_list:
for i in FindingApi.pageNumber:
@ -29,20 +29,17 @@ class FindingApi:
"paginationInput.entriesPerPage":"100",
"paginationInput.PageNumber":FindingApi.pageNumber[i]
}
# extract item id here for piping into shopping_test.py
response = requests.get("https://svcs.ebay.com/services/search/FindingService/v1", params=params)
data = response.json()
for item in data['findItemsByCategoryResponse'][0]['searchResult'[0]['item']:
itemid_results_list.append(item['itemId']) # above this line you will have to check whether the id exists in the pandas dataframe before you go on to create your list for the shopping
#api: check df --> if does not exist, append itemId to itemid_results_list --> with curated list, make a list of 20-itemId lists.
item_id_results = list(map(str, itemid_results_list))
item_id_results = ','.join(item_id_results) # you will have to split this into 20 item lists strings to feed into ItemID param. Consider making a list of str lists.
item_id_results = ','.join(item_id_results_list) # you will have to split this into 20 item lists strings to feed into ItemID param. Consider making a list of str lists.
return item_id_results
class ShoppingApi:
def get_item(self):
def get_item_from_findItemsByCategory():
params = {
"callname":"GetMultipleItems",