add currency

handle.py

@@ -60,12 +60,18 @@ def resolve(file_name: str, supplier_id: int):
     for i in range(len(df.index.values)):
         goods_name = str(df.loc[i, "原厂型号"])
         brand_name = str(df.loc[i, "品牌"])
+        currency = str(df.loc[i, "币种"])
+        if currency.strip() == "" or currency.strip() == "nan":
+            continue
+        currency = currency.upper().strip()
         if goods_name.strip() == "" or brand_name.strip() == "" or goods_name.strip() == "nan" or brand_name.strip() == "nan":
             continue
         stock = str(int(df.loc[i, "库存"]))
         moq = str(int(df.loc[i, "起订量"]))
         mpq = str(int(df.loc[i, "MPQ(最小包装数量）"]))
         price_is_us = False
+        if currency == "USD":
+            price_is_us = True
         supp_id = int(supplier_id)
         supplier_name = ""
         multiple = str(int(df.loc[i, "增量"]))
@@ -101,8 +107,12 @@ def resolve(file_name: str, supplier_id: int):
                     str(price_data).strip() != "" and str(price_data).strip() != "nan" and str(price_data).strip() != "NaN":
                 item_map = dict()
                 item_map["purchases"] = int(ladder_data)
-                item_map["price_us"] = float(0)
-                item_map["price_cn"] = float(price_data)
+                if price_is_us:
+                    item_map["price_us"] = float(price_data)
+                    item_map["price_cn"] = float(0)
+                else:
+                    item_map["price_us"] = float(0)
+                    item_map["price_cn"] = float(price_data)
                 table["ladder_price"].append(item_map)
         ans = json.dumps(table, ensure_ascii=False)
         logging.info(ans)