new page: v5_get_category_trends

required:

• key: [str] apikey, encoded

optional:

• i: [str] DEFAULT: False; produkt id (not picalike_id), if given, shop_cats and gender are derived from the product (overwrite)
• b: [List(str)] DEFAULT: False; brand; HINT: not a list in psql backend
• limit: [int] DEFAULT: 10
• price_from: [int/float?] DEFAULT: None
• price_till: [int/float?] DEFAULT: None
• gender: [str] DEFAULT: False
• size: [list(str)] DEFAULT: False
• format: [str] DEFAULT: “json”
• r: [int/bool] DEFAULT: False
• shop_cat: [str] DEFAULT: False; may this be a list?
• session: pass to billing
• test: IGNORE
• testid: pass to billing

results [dict] =
{
“count”: [int] num products returned,
“description”: “Category Trends”,
“link”: “http://picalike.com”,
“generator”: “http://picalike.com”,
“title”: “picalike Request”,
“modified”: str(datetime.datetime.now()),
“ids”: product_trends
}
→ product_trends: sorted (by cluster trend descendent) list of products
→ product: dict containing data about the product

product [dict] =
{
brand [?] none
extraimg [?] none
gender [str]
id [str]
img [str]
location [str]
name [str]
price [int] - nicht besser float?
prod_id [str]
shop_cat [str] nie liste?
w [?] -404
x_max_price [float]
x_min_price [float]
x_strike_price [?] none
x_size [list(dict)] = [{avail [str], display_size: [str], filter_size [str], is_reduced [bool], price [str], strike_price [str]}, …]
}

Example: http://frontend05-hpc.picalike.corpex-kunden.de:5003/get_cat_trends/?key=cGljc2ltaWxhcjo0MTU2&i=&limit=12&format=json&r=1&size=&session=8103291ed655653ad4d35f6cadf92e56&testid=5da4902fe4227

Helps finding the product with the highest trend scores in certain shops, categories or other filters. The APP is currently in use at Madeleine's online page at the Picalike widget. It is mainly used to recommend the products with the highest trend score from the customer shop, if no reference product is currently viewed.

Maintainer: ?

Git REPO: https://git.picalike.corpex-kunden.de/ply/get-category-trends

Host: frontend05-hpc.picalike.corpex-kunden.de:5003

Live Solr Database

Billing Database

OSA DATA for Shop_ID look up

This APP uses flask as framework and redis for the billing collection. As usual it is dockerized and can be run with the standard build, push, deploy bash scripts. The ice_tea tags do not apply to this APPs image, that is uploaded into our Docker Harbor.

With shop_id and prod_id as input, returns most trendy prod_ids from the prod_ids shop category

Optional Fields

  shop_id_key = data.get("shop_id_key", False)
  prod_id = data.get("prod_id", False)
  session = data.get("session", False)
  brand = data.get("brand", False)
  limit = int(data.get("limit", 10))
  min_price = data.get("min_price", False)
  max_price = data.get("max_price", False)
  gender = data.get("gender", False)
  size = data.get("size", False)
  return_prod_ref = data.get("return_prod_ref", False) --> "0"/"1"
  shop_cat = data.get("shop_cat", False)

  results = {
      "count": count, "description":"Category Trends", "generator":"http://picalike.com",
      "title":"picalike Request", "modified":str(datetime.datetime.now()),
      "ids":[
      {
          "shop_id_key": shop_id_key,
          "prod_id": prod_id,
          "session": session,
          "brand": brand,
          "limit":limit,
          "min_price":min_price,
          "max_price":max_price,
          "gender":gender,
          "size":size,
          "return_prod_ref": return_prod_ref,
          "shop_cat":shop_cat}]
      }
      

With shop_id and prod_id as input, returns most trendy prod_ids from the prod_ids shop. This endpoint is being used by our widget on our customers page and therefore counts the billing information on a billing file.

  shop_id_key = request.args.get("key", False)
  feed_id = get_user(shop_id_key)
  prod_id = request.args.get("i", False)
  session = request.args.get("session", False)
  brand = request.args.getlist("b") # if brand name given, only returns prods from this brand
  limit = request.args.get("limit", 10)
  min_price = request.args.get("price_from", None)
  max_price = request.args.get("price_till", None)
  gender = request.args.get("gender", False)
  size = request.args.getlist("size") # can be M, 36, 12 or XXL
  format = request.args.get("format", "json") # value can be json or csv
  return_prod_ref = request.args.get("r", False) # r=1 or r=False for not returning the prod_ref
  shop_cat = request.args.get("shop_cat", False)

  results = {
      "count": count, "description":"Category Trends", "generator":"http://picalike.com",
      "title":"picalike Request", "modified":str(datetime.datetime.now()),
      "ids":[
      {
          "shop_id_key": shop_id_key,
          "prod_id": prod_id,
          "session": session,
          "brand": brand,
          "limit":limit,
          "min_price":min_price,
          "max_price":max_price,
          "gender":gender,
          "size":size,
          "return_prod_ref": return_prod_ref,
          "shop_cat":shop_cat}]
      }
  

With shop_id and prod_id as input, returns most trendy prod_ids from the prod_ids shop

Functions similar to “/get_cat_trends” with thew same in- and outputs, but does not collects billing information.