package service
import
(
"fmt"
"log"
"os"
"regexp"
"sort"
"github.com/tidwall/gjson"
"github.com/tidwall/sjson"
)
// JSONProcessor 处理 JSON 数据的工具类
type JSONProcessor struct {
jsonStr string
}
// NewJSONProcessor 创建新的 JSON 处理器
func NewJSONProcessor
(jsonStr string
) *JSONProcessor {
return &JSONProcessor{jsonStr: jsonStr}
}
// RemoveInvalidImage 删除不合规图片及其关联数据
func
(jp *JSONProcessor
) RemoveInvalidImage
(invalidURL string
) error {
// basePath := "schema.model"
// 1. 检查并删除 spec_detail 中的规格值
if err := jp.removeSpecValuesByImage
(invalidURL
); err != nil {
return err
}
// 2. 删除其他图片字段中的无效图片
fields := []string{"white_background_pic", "main_image_three_to_four", "pic"}
for _, field := range fields {
if err := jp.removeImageFromField
(field, invalidURL
); err != nil {
return fmt.Errorf
("failed to remove from %s: %v", field, err
)
}
}
// 3. 从描述中删除图片
if err := jp.removeImageFromDescription
(invalidURL
); err != nil {
return fmt.Errorf
("failed to remove from description: %v", err
)
}
return nil
}
// removeSpecValuesByImage 删除包含指定图片URL的规格值
func
(jp *JSONProcessor
) removeSpecValuesByImage
(invalidURL string
) error {
basePath := "schema.model"
specDetailPath := fmt.Sprintf
("%s.spec_detail.value", basePath
)
result := gjson.Get
(jp.jsonStr, specDetailPath
)
if !result.Exists
() {
return nil // 没有规格数据，直接返回
}
// 收集需要删除的规格值ID
var specValueIDs []string
result.ForEach
(func
(_, group gjson.Result
) bool {
group.Get
("spec_values"
).ForEach
(func
(_, spec gjson.Result
) bool {
if imgURL := spec.Get
("img_url"
).String
(); imgURL == invalidURL {
if id := spec.Get
("id"
).String
(); id != "" {
specValueIDs = append
(specValueIDs, id
)
}
}
return true
}
)
return true
}
)
// 删除所有关联的规格值
for _, id := range specValueIDs {
if err := jp.RemoveSpecValueByID
(id
); err != nil {
return fmt.Errorf
("failed to remove spec value %s: %v", id, err
)
}
}
return nil
}
// removeImageFromField 从指定图片字段中删除无效图片
func
(jp *JSONProcessor
) removeImageFromField
(fieldPath, invalidURL string
) error {
fullPath := fmt.Sprintf
("schema.model.%s.value", fieldPath
)
result := gjson.Get
(jp.jsonStr, fullPath
)
if !result.Exists
() {
return nil // 字段不存在，直接返回
}
// 收集需要删除的索引
var indicesToDelete []int
result.ForEach
(func
(index gjson.Result, item gjson.Result
) bool {
if url := item.Get
("url"
).String
(); url == invalidURL {
indicesToDelete = append
(indicesToDelete, int
(index.Int
()))
}
return true
}
)
// 从后往前删除（避免索引变化）
sort.Sort
(sort.Reverse
(sort.IntSlice
(indicesToDelete
)))
for _, idx := range indicesToDelete {
path := fmt.Sprintf
("%s.%d", fullPath, idx
)
var err error
jp.jsonStr, err = sjson.Delete
(jp.jsonStr, path
)
if err != nil {
return err
}
}
return nil
}
// removeImageFromDescription 从描述中删除无效图片
func
(jp *JSONProcessor
) removeImageFromDescription
(invalidURL string
) error {
descPath := "schema.model.description.value"
result := gjson.Get
(jp.jsonStr, descPath
)
if !result.Exists
() {
return nil // 描述不存在，直接返回
}
html := result.String
()
// 正则表达式匹配包含指定URL的img标签
re := regexp.MustCompile
(`<img[^>]+src="` + regexp.QuoteMeta
(invalidURL
) + `"[^>]*>`
)
newHTML := re.ReplaceAllString
(html, ""
)
// 更新描述
_, err := sjson.Set
(jp.jsonStr, descPath, newHTML
)
return err
}
// ExtractAllPics 提取所有图片 URL（包括描述中的图片）
func
(jp *JSONProcessor
) ExtractAllPics
() []string {
// 基础路径
basePath := "schema.model"
// 存储所有图片的集合（使用 map 去重）
uniquePics := make
(map[string]bool
)
// 1. 处理指定字段的图片
fields := []string{"spec_detail", "white_background_pic", "main_image_three_to_four", "pic"}
for _, field := range fields {
path := fmt.Sprintf
("%s.%s.value", basePath, field
)
result := gjson.Get
(jp.jsonStr, path
)
if result.Exists
() {
result.ForEach
(func
(_, item gjson.Result
) bool {
// 处理 spec_detail 的特殊结构
if field == "spec_detail" {
item.Get
("spec_values"
).ForEach
(func
(_, spec gjson.Result
) bool {
if img := spec.Get
("img_url"
); img.Exists
() {
uniquePics[img.String
()] = true
}
return true
}
)
} else if url := item.Get
("url"
); url.Exists
() {
// 处理其他标准字段
uniquePics[url.String
()] = true
}
return true
}
)
}
}
// 2. 处理 description 中的图片
descPath := fmt.Sprintf
("%s.description.value", basePath
)
descResult := gjson.Get
(jp.jsonStr, descPath
)
if descResult.Exists
() {
html := descResult.String
()
re := regexp.MustCompile
(`<img[^>]+src="
([^">]+
)"`
)
matches := re.
FindAllStringSubmatch
(html, -1
)
for _, match := range matches {
if len
(match
) > 1 && !uniquePics[match[1]] {
uniquePics[match[1]] = true
}
}
}
// 转换为切片返回
allPics := make
([]string, 0, len
(uniquePics
))
for pic := range uniquePics {
allPics = append
(allPics, pic
)
}
return allPics
}
// RemoveSpecValueByID 根据 spec_value ID 删除规格值及其关联的 SKU
func
(jp *JSONProcessor
) RemoveSpecValueByID
(specValueID string
) error {
basePath := "schema.model"
// 1. 删除 spec_detail 中的 spec_value
specDetailPath := fmt.Sprintf
("%s.spec_detail.value", basePath
)
specDetailResult := gjson.Get
(jp.jsonStr, specDetailPath
)
if !specDetailResult.Exists
() {
return fmt.Errorf
("spec_detail.value does not exist"
)
}
specGroups := specDetailResult.Array
()
// 收集需要删除的索引（组索引和值索引）
type deletionPoint struct {
groupIndex int
valueIndex int
}
var deletions []deletionPoint
// 遍历所有规格组
for groupIdx, group := range specGroups {
specValues := group.Get
("spec_values"
).Array
()
// 遍历组内的规格值
for valueIdx, value := range specValues {
if id := value.Get
("id"
).String
(); id == specValueID {
deletions = append
(deletions, deletionPoint{groupIdx, valueIdx}
)
}
}
}
// 从后往前删除（避免索引变化）
sort.Slice
(deletions, func
(i, j int
) bool {
if deletions[i].groupIndex == deletions[j].groupIndex {
return deletions[i].valueIndex > deletions[j].valueIndex
}
return deletions[i].groupIndex > deletions[j].groupIndex
}
)
for _, del := range deletions {
path := fmt.Sprintf
("%s.%d.spec_values.%d", specDetailPath, del.groupIndex, del.valueIndex
)
var err error
jp.jsonStr, err = sjson.Delete
(jp.jsonStr, path
)
if err != nil {
return err
}
}
// 2. 删除关联的 SKU
skuDetailPath := fmt.Sprintf
("%s.sku_detail.value", basePath
)
skuDetailResult := gjson.Get
(jp.jsonStr, skuDetailPath
)
if !skuDetailResult.Exists
() {
// 没有 SKU 数据，直接返回
return nil
}
skus := skuDetailResult.Array
()
var skuIndicesToDelete []int
// 收集需要删除的 SKU 索引
for idx, sku := range skus {
specDetailIDs := sku.Get
("spec_detail_ids"
).Array
()
for _, id := range specDetailIDs {
if id.String
() == specValueID {
skuIndicesToDelete = append
(skuIndicesToDelete, idx
)
break // 找到匹配即跳出
}
}
}
// 从后往前删除 SKU（避免索引变化）
sort.Sort
(sort.Reverse
(sort.IntSlice
(skuIndicesToDelete
)))
for _, idx := range skuIndicesToDelete {
path := fmt.Sprintf
("%s.%d", skuDetailPath, idx
)
var err error
jp.jsonStr, err = sjson.Delete
(jp.jsonStr, path
)
if err != nil {
return err
}
}
return nil
}
// UpdateSkuPrice 更新 SKU 的价格
func
(jp *JSONProcessor
) UpdateSkuPrice
(skuID, newPrice string
) error {
path := "schema.model.sku_detail.value"
result := gjson.Get
(jp.jsonStr, path
)
if !result.Exists
() {
return fmt.Errorf
("sku_detail.value does not exist"
)
}
skuArray := result.Array
()
for idx, sku := range skuArray {
if id := sku.Get
("id"
).String
(); id == skuID {
fullPath := fmt.Sprintf
("%s.%d.price", path, idx
)
var err error
jp.jsonStr, err = sjson.Set
(jp.jsonStr, fullPath, newPrice
)
return err
}
}
return fmt.Errorf
("SKU with ID %s not found", skuID
)
}
// UpdateSkuStock 更新 SKU 的库存
func
(jp *JSONProcessor
) UpdateSkuStock
(skuID string, newStock int
) error {
path := "schema.model.sku_detail.value"
result := gjson.Get
(jp.jsonStr, path
)
if !result.Exists
() {
return fmt.Errorf
("sku_detail.value does not exist"
)
}
skuArray := result.Array
()
for idx, sku := range skuArray {
if id := sku.Get
("id"
).String
(); id == skuID {
// 更新 stock_info.stock_num
stockPath := fmt.Sprintf
("%s.%d.stock_info.stock_num", path, idx
)
var err error
jp.jsonStr, err = sjson.Set
(jp.jsonStr, stockPath, newStock
)
if err != nil {
return err
}
// 更新 self_sell_stock
selfStockPath := fmt.Sprintf
("%s.%d.self_sell_stock", path, idx
)
jp.jsonStr, err = sjson.Set
(jp.jsonStr, selfStockPath, newStock
)
return err
}
}
return fmt.Errorf
("SKU with ID %s not found", skuID
)
}
// GetField 获取指定字段的值
func
(jp *JSONProcessor
) GetField
(fieldPath string
) (gjson.Result, bool
) {
fullPath := fmt.Sprintf
("schema.model.%s", fieldPath
)
result := gjson.Get
(jp.jsonStr, fullPath
)
return result, result.Exists
()
}
// UpdateField 更新指定字段的值
func
(jp *JSONProcessor
) UpdateField
(fieldPath string, newValue interface{}
) error {
fullPath := fmt.Sprintf
("schema.model.%s", fieldPath
)
newJSON, err := sjson.Set
(jp.jsonStr, fullPath, newValue
)
if err != nil {
return err
}
jp.jsonStr = newJSON
return nil
}
// DeleteField 删除指定字段
func
(jp *JSONProcessor
) DeleteField
(fieldPath string
) error {
fullPath := fmt.Sprintf
("schema.model.%s", fieldPath
)
newJSON, err := sjson.Delete
(jp.jsonStr, fullPath
)
if err != nil {
return err
}
jp.jsonStr = newJSON
return nil
}
// AddArrayItem 向数组字段添加新元素
func
(jp *JSONProcessor
) AddArrayItem
(fieldPath string, newItem interface{}
) error {
// 检查数组字段是否存在
basePath := fmt.Sprintf
("schema.model.%s.value", fieldPath
)
result := gjson.Get
(jp.jsonStr, basePath
)
// 如果数组不存在，先创建空数组
if !result.Exists
() {
var err error
jp.jsonStr, err = sjson.Set
(jp.jsonStr, basePath, []interface{}{}
)
if err != nil {
return fmt.Errorf
("failed to create array field: %v", err
)
}
}
// 添加新元素到数组末尾
fullPath := fmt.Sprintf
("%s.-1", basePath
)
newJSON, err := sjson.Set
(jp.jsonStr, fullPath, newItem
)
if err != nil {
return fmt.Errorf
("failed to add array item: %v", err
)
}
jp.jsonStr = newJSON
return nil
}
// RemoveArrayItem 从数组中删除指定索引的元素
func
(jp *JSONProcessor
) RemoveArrayItem
(fieldPath string, index int
) error {
basePath := fmt.Sprintf
("schema.model.%s.value", fieldPath
)
result := gjson.Get
(jp.jsonStr, basePath
)
if !result.Exists
() {
return fmt.Errorf
("array field does not exist"
)
}
// 检查索引是否有效
array := result.Array
()
if index < 0 || index >= len
(array
) {
return fmt.Errorf
("index %d out of range [0, %d]", index, len
(array
)-1
)
}
fullPath := fmt.Sprintf
("%s.%d", basePath, index
)
newJSON, err := sjson.Delete
(jp.jsonStr, fullPath
)
if err != nil {
return err
}
jp.jsonStr = newJSON
return nil
}
// GetJSON 获取当前处理后的 JSON
func
(jp *JSONProcessor
) GetJSON
() string {
return jp.jsonStr
}
// TestFunc 测试函数
func TestFunc
() {
content, err := os.ReadFile
("asyncCheckPost.json"
)
if err != nil {
log.Printf
("读取过滤文件失败: %v", err
)
return
}
processor := NewJSONProcessor
(string
(content
))
// 提取所有图片
allPics := processor.ExtractAllPics
()
fmt.Printf
("提取到 %d 张图片\n", len
(allPics
))
// 假设我们检测到第二张图片不合规
if len
(allPics
) > 1 {
invalidURL := "https://p3-aio.ecombdimg.com/obj/ecom-shop-material/jpeg_m_a469f301b9c195b6b833240f9adc1ffc_sx_36996_www790-314"
fmt.Printf
("检测到不合规图片: %s\n", invalidURL
)
// 删除不合规图片及其关联数据
if err := processor.RemoveInvalidImage
(invalidURL
); err != nil {
fmt.Println
("删除不合规图片失败:", err
)
} else {
fmt.Println
("成功删除不合规图片及其关联数据"
)
// 验证删除后图片数量
newPics := processor.ExtractAllPics
()
fmt.Printf
("删除后剩余图片: %d 张\n", len
(newPics
))
// 检查是否不再包含不合规图片
for _, url := range newPics {
if url == invalidURL {
fmt.Println
("错误: 不合规图片仍然存在!"
)
break
}
}
}
}
// 1. 删除规格值及其关联的 SKU
specValueID := "1839581026529404" // 小号钢架尺30米的 ID
if err := processor.RemoveSpecValueByID
(specValueID
); err != nil {
fmt.Println
("删除规格值失败:", err
)
} else {
fmt.Println
("成功删除规格值及其关联SKU"
)
}
// 2. 更新 SKU 价格和库存
skuID := "3527608283404802" // 第一个 SKU 的 ID
newPrice := "99.99"
newStock := 3000
if err := processor.UpdateSkuPrice
(skuID, newPrice
); err != nil {
fmt.Println
("更新价格失败:", err
)
} else {
fmt.Println
("成功更新SKU价格"
)
}
if err := processor.UpdateSkuStock
(skuID, newStock
); err != nil {
fmt.Println
("更新库存失败:", err
)
} else {
fmt.Println
("成功更新SKU库存"
)
}
// 3. 测试数组操作
// 向不存在的数组添加元素
if err := processor.AddArrayItem
("new_field", map[string]string{"test": "value"}
); err != nil {
fmt.Println
("添加数组项失败:", err
)
} else {
fmt.Println
("成功添加数组项到新字段"
)
}
// 尝试删除不存在的数组项
if err := processor.RemoveArrayItem
("non_existent_field", 0
); err != nil {
fmt.Println
("删除数组项失败
(预期
):", err
)
} else {
fmt.Println
("意外成功删除不存在的数组项"
)
}
// 尝试越界删除
if err := processor.RemoveArrayItem
("pic", 100
); err != nil {
fmt.Println
("删除数组项失败
(预期
):", err
)
} else {
fmt.Println
("意外成功删除越界数组项"
)
}
// 获取最终 JSON
// finalJSON := processor.GetJSON
()
// fmt.Println
(finalJSON
)
}
这段代码是修改后的代码，要处理的json数据为：{"schema":{"model":{"sku_detail":{"value":[{"brand_country":null,"
cargo_related_cmpu":null,"cb_wares_info":null,"customs_report_info":null,"id":"3527608283404802","price":"70.8","reserved_stock_info":{"channel_stock_detail":[],"channel_stock_num":null,"promotion_stock_num":null},"self_sell_stock":5000,"shop_warehouse":null,"sku_delivery_delay_day":"","sku_id":"3527608283404802","sku_status":true,"source_country":null,"source_product":null,"spec_detail_ids":["1839581026529356"],"stock_info":{"stock_inc_num":0,"stock_num":5000,"use_
cargo_stock":false},"supplier_id":""},{"brand_country":null,"
cargo_related_cmpu":null,"cb_wares_info":null,"customs_report_info":null,"id":"3527608283405058","price":"97.8","reserved_stock_info":{"channel_stock_detail":[],"channel_stock_num":null,"promotion_stock_num":null},"self_sell_stock":5000,"shop_warehouse":null,"sku_delivery_delay_day":"","sku_id":"3527608283405058","sku_status":true,"source_country":null,"source_product":null,"spec_detail_ids":["1839581026529372"],"stock_info":{"stock_inc_num":0,"stock_num":5000,"use_
cargo_stock":false},"supplier_id":""},{"brand_country":null,"
cargo_related_cmpu":null,"cb_wares_info":null,"customs_report_info":null,"id":"3527608283405314","price":"127.8","reserved_stock_info":{"channel_stock_detail":[],"channel_stock_num":null,"promotion_stock_num":null},"self_sell_stock":5000,"shop_warehouse":null,"sku_delivery_delay_day":"","sku_id":"3527608283405314","sku_status":true,"source_country":null,"source_product":null,"spec_detail_ids":["1839581026529388"],"stock_info":{"stock_inc_num":0,"stock_num":5000,"use_
cargo_stock":false},"supplier_id":""},{"brand_country":null,"
cargo_related_cmpu":null,"cb_wares_info":null,"customs_report_info":null,"id":"3527608283405570","price":"41.7","reserved_stock_info":{"channel_stock_detail":[],"channel_stock_num":null,"promotion_stock_num":null},"self_sell_stock":5000,"shop_warehouse":null,"sku_delivery_delay_day":"","sku_id":"3527608283405570","sku_status":true,"source_country":null,"source_product":null,"spec_detail_ids":["1839581026529404"],"stock_info":{"stock_inc_num":0,"stock_num":5000,"use_
cargo_stock":false},"supplier_id":""},{"brand_country":null,"
cargo_related_cmpu":null,"cb_wares_info":null,"customs_report_info":null,"id":"3527608283405826","price":"53.7","reserved_stock_info":{"channel_stock_detail":[],"channel_stock_num":null,"promotion_stock_num":null},"self_sell_stock":5000,"shop_warehouse":null,"sku_delivery_delay_day":"","sku_id":"3527608283405826","sku_status":true,"source_country":null,"source_product":null,"spec_detail_ids":["1839581026596876"],"stock_info":{"stock_inc_num":0,"stock_num":5000,"use_
cargo_stock":false},"supplier_id":""}]},"spec_detail":{"value":[{"id":"1839581026528380","name":"颜色","spec_values":[{"id":"1839581026529356","img_url":"https://p9-aio.ecombdimg.com/obj/ecom-shop-material/jpeg_m_5df95571baca
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本文详细解析了CF809C Findacar的动态规划解法，针对无限矩阵中特定数值范围的求和问题，通过巧妙的位运算和状态压缩，设计了一个高效的DP算法，解决了复杂的大规模询问。
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