完成数据过主干逻辑,细节健壮性有待继续完善 #4
@ -105,6 +105,10 @@ func (df *DataFilter) Filter() (string, error) {
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return "", fmt.Errorf("映射的层级深度大于数据源深度, source_path => %v map_path => %v", itemRule.SourceKey, itemRule.MapKey)
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}
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if !mapIsArr {
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if err = df.setValue(itemRule.MapKey, df.getDataAsSlice(df.source, df.getArrPathList(itemRule.SourceKey))); nil != err {
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df.logPrint(logLevelFatal, "映射非数组, 数据源为数组, 设置失败", "source_path => "+itemRule.SourceKey, "map_path => "+itemRule.MapKey, " err => "+err.Error())
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return "", fmt.Errorf("映射的层级深度大于数据源深度, source_path => %v map_path => %v", itemRule.SourceKey, itemRule.MapKey)
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}
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}
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}
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@ -85,3 +85,58 @@ func TestDataFilter_getDataAsSlice(t *testing.T) {
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fmt.Println(df.getDataAsSlice(string(byteData), []string{"list", "age", "list_test", "a"}))
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fmt.Println(df.getDataAsSlice(string(byteData), []string{"list", "age", "list_test", "b"}))
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}
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// TestDataFilter_sourceArrAndMapSingle map 非数组,数据源数组
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//
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// Author : zhangdeman001@ke.com<张德满>
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//
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// Date : 11:24 2023/9/2
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func TestDataFilter_sourceArrAndMapSingle(t *testing.T) {
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source := map[string]interface{}{
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"list": []interface{}{
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map[string]interface{}{
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"name": "1",
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"age": "2",
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"list_test": []interface{}{
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map[string]interface{}{
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"a": "a",
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"b": "b",
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"c": map[string]interface{}{
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"a": "1",
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},
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"d": []int{1, 2, 3},
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},
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},
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},
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map[string]interface{}{
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"name": "3",
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"age": "4",
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"list_test": []interface{}{
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map[string]interface{}{
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"a": "a1",
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"b": "b1",
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"c": map[string]interface{}{
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"a": "a",
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},
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"d": []int{1, 2, 3},
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},
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},
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},
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map[string]interface{}{
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"name": "5",
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"age": "6",
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},
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},
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}
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df := &DataFilter{
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source: serialize.JSON.MarshalForString(source),
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filterRule: []*FilterDataRule{
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{SourceKey: "list.[].list_test.[].a", MapKey: "a_list", DefaultValue: "[]", WithDefault: true},
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{SourceKey: "list.[].list_test.[].b", MapKey: "b_list", DefaultValue: "[]", WithDefault: true},
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{SourceKey: "list.[].list_test.[].c", MapKey: "c_list", DefaultValue: "[]", WithDefault: true},
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{SourceKey: "list.[].list_test.[].d", MapKey: "d_list", DefaultValue: "[]", WithDefault: true},
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},
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filterOption: &FilterOption{DebugModel: true},
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}
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fmt.Println(df.Filter())
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}
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