)) redis_conn = get_redis_connection("default") user_id = request.user.id skus = [] total_count = 0 total_skus_amount = 0 trans_cost = 10 # 邮费,暂时写死 (sku) total_count += sku_count total_skus_amount += amount else Address.DoesNotExist: address = None # 返回前端页面 context = { "skus ": skus, "total_count": total_count, "total_skus_amount": total_skus_amount,
reverse("orders:info")) order.status_name = OrderInfo.ORDER_STATUS[order.status] order.skus = [] order_skus = order.ordergoods_set.all() for order_sku in order_skus: sku.count = order_sku.count sku.amount = sku.price * sku.count order.skus.append reverse("orders:info")) order.status_name = OrderInfo.ORDER_STATUS[order.status] order.skus = [] order_skus = order.ordergoods_set.all() for order_sku in order_skus:
= this.goodsService.querySkuBySpuId(id); if (skus == null || skus.size() == 0) { return new ResponseEntity<>(HttpStatus.NOT_FOUND); } return ResponseEntity.ok(skus); } GoodsService = this.skuMapper.select(record); for (Sku sku : skus) { // 同时查询出库存 sku.setStock( this.stockMapper.selectByPrimaryKey(sku.getId()).getStock()); } return skus; } 测试: ? CollectionUtils.isEmpty(skus)) { List<Long> ids = skus.stream().map(s -> s.getId()).collect(Collectors.toList
category).order_by("-create_time")[:2] # 分类的商品, 排序 if sort == "price": skus GoodsSKU.objects.filter(category=category).order_by("price") elif sort == "hot": skus (category=category) # 分页 paginator = Paginator(skus, 1) page = int(page) try: page_skus = paginator.page(page) except EmptyPage: # 表示用户请求的页数不存在 ": new_skus, "page_skus": page_skus, "page_list": page_list, # 页码
: categorys, "sku": sku, "orders": sku_orders, "new_skus ": new_skus, "goods_skus": goods_skus } # 设置缓存 cache.set = GoodsSKU.objects.filter(id__in=sku_ids) skus = [] for sku_id in sku_ids: # [5,6,3,9,1 ] sku = GoodsSKU.objects.get(id=sku_id) skus.append(sku) # 形成模板所用的变量 ,渲染模板 context = { "address": address, "skus": skus # [5,6,3,9,1]
http.JsonResponse({'code':RETCODE.NODATAERR,'errmsg':'暂无此分类'}) # 3.根据分类去查询指定的数据,并进行排序,排序之后获取n条 skus = [] for sku in skus: skus_list.append({ 'id':sku.id, price':sku.price }) return http.JsonResponse({'code':RETCODE.OK,'errmsg':'ok','hot_skus ':skus_list}) 二、热销数据信息展示 1.前台html代码 <script type="text/javascript"> let category_id="{{ category.id }) .then(response => { this.hots = response.data.hot_skus
代码 $(".sku_attr_value").click(function () { // 1、点击的元素添加上自定义的属性 let skus = new Array(); let curr = $(this).attr("skus").split(","); //去掉同一行的所有的check ($(this).attr("skus").split(",")); }); //取出交集得到skuId let filterEle = skus[0]; for (let i = 1; i < skus.length; i++) { filterEle = $(filterEle ).filter(skus[i])[0]; } location.href = "http://item.gulimall.com/" + filterEle
order_filed='create_time' sort='default' # 2.根据分类id,把所有数据都查询出来 skus ,per_page=5) #3.3 获取分页数据 page_skus = paginator.page(page_num) #总页数 :category, 'breadcrumb':breadcrumb, 'sort': sort, # 排序字段 'page_skus ': page_skus, # 分页后数据 'total_page': total_page, # 总页数 'page_num': page_num, "{% endif %}>人气
, filters) { return skus.filter(sku => { return Object.keys(filters).every(key => { // 空值检查 /filterWorker.js');function useWorkerFilter(skus, filters) { const [filtered, setFiltered] = useState ([]); const [working, setWorking] = useState(false); useEffect(() => { if (skus.length === 0) , filters }); }, [skus, filters]); return { filtered, working };}// filterWorker.jsself.onmessage = function(e) { const { skus, filters } = e.data; // 执行过滤逻辑 const result = filterSKUs(skus, filters
缺货) ≤ 5% 8.2 代码(OR-Tools CP-SAT)from ortools.sat.python import cp_modeldef solve_reorder_quantities(skus } # 需求为随机变量,用分位数近似 for i in skus: d_95 = skus[i]['d_95'] # 来自 LSTM 的 95% 分位数 model.Add (Q[i] >= d_95 - skus[i]['inv']) # 预算 model.Add(sum(Q[i] * skus[i]['cost'] for i in skus) <= budget ) # 目标:最小化总成本(持有+缺货) obj = [] for i in skus: h = skus[i]['holding_cost'] b = skus [i]['stockout_cost'] d_mean = skus[i]['d_mean'] # 期望成本 ≈ h*(Q/2) + b*E[max(0, d-Q)]
= this.skus .filter(s => s.enable) .map(({ price, stock, enable, images, indexes, ...rest 这里也可以用它,不过需要再扩展spuDetail和skus字段:public class SpuBo extends Spu { String cname;// 商品分类名称 String ().build(); } return ResponseEntity.ok(skus);}GoodsService需要注意的是,为了页面回显方便,我们一并把sku的库存stock也查询出来 @Transactionalpublic void update(SpuBo spu) { // 查询以前sku List<Sku> skus = this.querySkuBySpuId( CollectionUtils.isEmpty(skus)) { List<Long> ids = skus.stream().map(s -> s.getId()).collect(Collectors.toList
request.user.id cart = redis_conn.hgetall("cart_%s" % user_id) # 遍历cart字典,形成模板所需要的数据 skus Decimal sku.amount = amount # 商品的金额 sku.count = count # 商品的数量 skus.append += amount total_count += count # 返回处理结果, 渲染模板 context = { "skus ": skus, "total_amount": total_amount, "total_count": total_count }
:不用手动拼接SKU 的规格文字(比如 “长方形带开瓶器 + 送工具刀卡 + 链子”)藏在两个地方:•全局规格看props_name:一次性获取所有 SKU 的属性描述,用分号分隔;•单个 SKU 看skus SKU 价格:多规格定价清晰不同 SKU 的价格差异,直接从skus/sku数组里读:https://o0b.cn/lin•price:当前售价(比如 “25.8”“39”);•orginal_price —— 加个重试机制(比如间隔 3 秒重试 2 次),重试前先检查请求参数是否正确(比如num_iid有没有传错);3.数据校验保完整:接口返回后,先检查error_code是否为 “0000”,再确认skus if result.get("error_code") == "0000": # 提取SKU核心数据 sku_list = result["item"]["skus
monodev||GtkSharp||2.12||lib||Mono.Posix” [HKEY_LOCAL_MACHINE|SOFTWARE|Microsoft|.NETFramework|v4.0.30319|SKUs ] [HKEY_LOCAL_MACHINE|SOFTWARE|Microsoft|.NETFramework|v4.0.30319|SKUs|.NETFramework,Version=v4.0] [HKEY_LOCAL_MACHINE |SOFTWARE|Microsoft|.NETFramework|v4.0.30319|SKUs|.NETFramework,Version=v4.0,Profile=Client] [HKEY_LOCAL_MACHINE |SOFTWARE|Microsoft|.NETFramework|v4.0.30319|SKUs|Client] [HKEY_LOCAL_MACHINE|SOFTWARE|Microsoft|.NETFramework |v4.0.30319|SKUs|Default] 还有:加个环境变量,GTK_BASEPATH = d:|monodev|GtkSharp|2.12| mono绿色调用monodevelop方法: -
all" : { "enabled" : true }, "properties" : { ..... } }, "skus curl -s -XPOST "$ADDRESS/product/skus/100000001? { "has_child": { "type": "skus pretty' -d ' { "query": { "has_child": { "type": "skus", "score_mode": "max", "tag": "红色" } } } } }' 父文档查询子文档使用has_parent查询 curl 'host:port/index_name/skus
sku_key = [] for spec in sku_specs: sku_key.append(spec.option.id) # 获取当前商品的所有SKU skus = sku.spu.sku_set.all() # 构建不同规格参数(选项)的sku字典 spec_sku_map = {} for s in skus: # html') with open(file_path, 'w') as f: f.write(html_text) if __name__ == '__main__': skus = models.SKU.objects.all() for sku in skus: print(sku.id) generate_static_sku_detail_html
subTitle queryBuilder.withSourceFilter(new FetchSourceFilter( new String[]{"id","skus 2.3.3.2.初始化sku 查询出的结果集skus是一个json类型的字符串,不是js对象 ? 我们在查询成功的回调函数中,对goods进行遍历,把skus转化成对象,并添加一个selected属性保存被选中的sku: ? ? --多sku图片列表-->
, "price", "stock", "item_id", "seller_id", "shop_name", "main_image", "detail_images", "skus _parse_skus(item.get("skus", {})) } # 图片信息 images = { "main_images": , []), "parse_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S") } def _parse_skus (self, sku_data): """解析SKU规格与库存""" skus = [] for sku in sku_data.get("sku", []): (sku.get("price", 0)), "stock": int(sku.get("stock", 0)) }) return skus
比如: 查询条件放到 JOIN 语句: SELECT SQL_CALC_FOUND_ROWS wp_posts.ID FROM wp_posts JOIN wp_skus sku ON sku.post_id wp_posts.post_date DESC LIMIT 0, 10 查询条件放到 WHERE 语句: SELECT SQL_CALC_FOUND_ROWS wp_posts.ID FROM wp_posts JOIN wp_skus
history = redis_conn.lrange("history_%s" % user_id, 0, constants.USER_BROWSING_HISTORY_COUNTS_LIMIT-1) skus = [] # 为了保持查询出的顺序与用户的浏览历史保存顺序一致 for sku_id in history: sku = SKU.objects.get(id=sku_id) skus.append( sku) s = SKUSerializer(skus, many=True) return Response(s.data) 发布者:全栈程序员栈长,转载请注明出处:https://javaforall.cn