mirror of
https://github.com/jesseduffield/lazydocker.git
synced 2026-07-25 08:31:03 +00:00
fix: save mem at runtime
This commit is contained in:
parent
612d34eb00
commit
bab0dfed81
2 changed files with 113 additions and 200 deletions
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@ -18,35 +18,51 @@ import (
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"github.com/samber/lo"
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)
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var SCHEMA_JSON = `{
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"client_stats": {
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"cpu_stats": {
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"cpu_usage": {
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"total_usage": "nanoseconds",
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"percpu_usage": []string{"nanoseconds"},
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"usage_in_kernelmode": "nanoseconds",
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"usage_in_usermode": "nanoseconds",
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},
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"system_cpu_usage": "nanoseconds",
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},
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"precpu_stats": {
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"cpu_usage": {
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"total_usage": "nanoseconds",
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"percpu_usage": []string{"nanoseconds"},
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"usage_in_kernelmode": "nanoseconds",
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"usage_in_usermode": "nanoseconds",
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},
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"system_cpu_usage": "nanoseconds",
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},
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"memory_stats": {
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"stats": {
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"hierarchical_memory_limit": "bytes",
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"hierarchical_memsw_limit": "bytes",
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},
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"limit": "bytes",
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},
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},
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}`
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// var SCHEMA_JSON = `{
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// "client_stats": {
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// "cpu_stats": {
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// "cpu_usage": {
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// "total_usage": "nanoseconds",
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// "percpu_usage": ["nanoseconds"],
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// "usage_in_kernelmode": "nanoseconds",
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// "usage_in_usermode": "nanoseconds"
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// },
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// "system_cpu_usage": "nanoseconds"
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// },
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// "precpu_stats": {
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// "cpu_usage": {
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// "total_usage": "nanoseconds",
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// "percpu_usage": ["nanoseconds"],
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// "usage_in_kernelmode": "nanoseconds",
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// "usage_in_usermode": "nanoseconds"
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// },
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// "system_cpu_usage": "nanoseconds"
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// },
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// "memory_stats": {
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// "stats": {
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// "hierarchical_memory_limit": "bytes",
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// "hierarchical_memsw_limit": "bytes"
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// },
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// "limit": "bytes"
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// }
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// }
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// }`
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var PATHS_TO_CONVERT_BIGMETRICS = []map[string]string{
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{"client_stats.cpu_stats.cpu_usage.total_usage": "nanoseconds"},
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{"client_stats.cpu_stats.cpu_usage.percpu_usage": "nanoseconds"},
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{"client_stats.cpu_stats.cpu_usage.usage_in_kernelmode": "nanoseconds"},
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{"client_stats.cpu_stats.cpu_usage.usage_in_usermode": "nanoseconds"},
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{"client_stats.cpu_stats.system_cpu_usage": "nanoseconds"},
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{"client_stats.precpu_stats.cpu_usage.total_usage": "nanoseconds"},
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{"client_stats.precpu_stats.cpu_usage.percpu_usage": "nanoseconds"},
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{"client_stats.precpu_stats.cpu_usage.usage_in_kernelmode": "nanoseconds"},
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{"client_stats.precpu_stats.cpu_usage.usage_in_usermode": "nanoseconds"},
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{"client_stats.precpu_stats.system_cpu_usage": "nanoseconds"},
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{"client_stats.memory_stats.limit": "bytes"},
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{"client_stats.memory_stats.stats.hierarchical_memory_limit": "bytes"},
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{"client_stats.memory_stats.stats.hierarchical_memsw_limit": "bytes"},
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}
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func RenderStats(userConfig *config.UserConfig, container *commands.Container, viewWidth int) (string, error) {
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stats, ok := container.GetLastStats()
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@ -79,7 +95,7 @@ func RenderStats(userConfig *config.UserConfig, container *commands.Container, v
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return "", err
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}
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lookupAndConvertBigMetric(&statsMap)
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convertBigMetricFromSchema(&statsMap)
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originalStats, err := utils.MarshalIntoYaml(statsMap)
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if err != nil {
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@ -189,56 +205,71 @@ func getFloat(unk interface{}) (float64, error) {
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}
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}
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func lookupAndConvertBigMetric(data *map[string]interface{}) error {
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var schema map[string]interface{}
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// Unmarshal
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err := json.Unmarshal([]byte(SCHEMA_JSON), &schema)
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if err != nil {
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fmt.Println("Error:", err)
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return err
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}
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err = convertBigMetricFromSchema(data, "", schema)
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if err != nil {
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return err
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}
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return nil
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}
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func convertBigMetricFromSchema(data *map[string]interface{}, path string, schema interface{}) error {
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switch value := schema.(type) {
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case map[string]interface{}:
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for key, val := range value {
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path = fmt.Sprintf("%s.%s", path, key)
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return convertBigMetricFromSchema(data, path, val)
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}
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case []string:
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// use path to translate from []int to []string
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metric, err := lookup.LookupString(data, strings.TrimPrefix(path, "."))
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if err != nil {
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return err
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}
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if reflect.TypeOf(metric.Interface()) != reflect.TypeOf([]int64{}) {
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return fmt.Errorf("Can't convert %v to []int64", reflect.TypeOf(metric.Interface()))
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} else {
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longIntSlice := metric.Interface().([]int64)
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formattedMetric := lo.Map(longIntSlice, func(val int64, index int) string {
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return utils.FormatBigMetric(val, value[index])
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})
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return utils.SetObjectFieldByPath(data, path, formattedMetric)
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}
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case string:
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// use path to translate from int/int64 to string
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metric, err := lookup.LookupString(data, strings.TrimPrefix(path, "."))
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if err != nil {
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return err
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}
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if reflect.TypeOf(metric.Interface()) != reflect.TypeOf(int64(0)) {
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return fmt.Errorf("Can't convert %v to int64", reflect.TypeOf(metric.Interface()))
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} else {
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formattedMetric := utils.FormatBigMetric(metric.Interface().(int64), value)
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return utils.SetObjectFieldByPath(data, path, formattedMetric)
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func convertBigMetricFromSchema(data *map[string]interface{}) error {
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// switch value := schema.(type) {
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// case map[string]interface{}:
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// for key, val := range value {
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// path = fmt.Sprintf("%s.%s", path, key)
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// if err := convertBigMetricFromSchema(data, path, val); err != nil {
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// return err
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// }
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// }
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// case []string:
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// // use path to translate from []int to []string
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// fmt.Println("Converting []int64 to []string for path:", path)
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// metric, err := lookup.LookupString(data, strings.TrimPrefix(path, "."))
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// if err != nil {
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// return err
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// }
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// if reflect.TypeOf(metric.Interface()) != reflect.TypeOf([]int64{}) {
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// return fmt.Errorf("Can't convert non []int64 %v to []string", reflect.TypeOf(metric.Interface()))
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// } else {
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// longIntSlice := metric.Interface().([]int64)
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// formattedMetric := lo.Map(longIntSlice, func(val int64, index int) string {
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// return utils.FormatBigMetric(val, value[index])
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// })
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// return utils.SetObjectFieldByPath(data, path, formattedMetric)
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// }
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// case string:
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// // use path to translate from int/int64 to string
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// fmt.Println("Converting int64 to string for path:", path)
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// metric, err := lookup.LookupString(data, strings.TrimPrefix(path, "."))
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// if err != nil {
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// return err
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// }
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// if reflect.TypeOf(metric.Interface()) != reflect.TypeOf(int64(0)) {
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// return fmt.Errorf("Can't convert non int64 %v to string", reflect.TypeOf(metric.Interface()))
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// } else {
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// formattedMetric := utils.FormatBigMetric(metric.Interface().(int64), value)
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// return utils.SetObjectFieldByPath(data, path, formattedMetric)
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// }
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// }
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// return nil
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for _, pathToConvert := range PATHS_TO_CONVERT_BIGMETRICS {
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for path, metricType := range pathToConvert {
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metric, err := lookup.LookupString(data, path)
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if err != nil {
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if err == lookup.ErrKeyNotFound {
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continue
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}
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return err
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}
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if reflect.TypeOf(metric.Interface()) == reflect.TypeOf(int64(0)) {
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formattedMetric := utils.FormatBigMetric(metric.Interface().(int64), metricType)
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err = utils.SetObjectFieldByPath(data, fmt.Sprintf(".%s", path), formattedMetric)
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if err != nil {
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return err
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}
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} else if reflect.TypeOf(metric.Interface()) == reflect.TypeOf([]int64{}) {
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longIntSlice := metric.Interface().([]int64)
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formattedMetric := lo.Map(longIntSlice, func(val int64, index int) string {
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return utils.FormatBigMetric(val, metricType)
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})
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err = utils.SetObjectFieldByPath(data, fmt.Sprintf(".%s", path), formattedMetric)
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if err != nil {
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return err
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}
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}
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}
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}
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return nil
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@ -1,8 +1,6 @@
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package presentation
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import (
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"encoding/json"
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"fmt"
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"testing"
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"github.com/stretchr/testify/assert"
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@ -12,17 +10,10 @@ func TestConvertBigMetricFromSchema(t *testing.T) {
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type scenario struct {
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name string
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data map[string]interface{}
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path string
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schema interface{}
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expected map[string]interface{}
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expectedErr string
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}
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var schema map[string]interface{}
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if err := json.Unmarshal([]byte(SCHEMA_JSON), &schema); err != nil {
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fmt.Println("Error unmarshaling SCHEMA_JSON:", err)
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}
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scenarios := []scenario{
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{
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name: "string schema: converts int64 bytes",
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@ -33,8 +24,6 @@ func TestConvertBigMetricFromSchema(t *testing.T) {
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},
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},
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},
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path: "",
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schema: schema,
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expected: map[string]interface{}{
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"client_stats": map[string]interface{}{
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"memory_stats": map[string]interface{}{
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@ -58,14 +47,12 @@ func TestConvertBigMetricFromSchema(t *testing.T) {
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},
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},
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},
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path: "",
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schema: schema,
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expected: map[string]interface{}{
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"client_stats": map[string]interface{}{
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"cpu_stats": map[string]interface{}{
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"cpu_usage": map[string]interface{}{
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"total_usage": "100.000 s",
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"percpu_usage": []string{"50.000 ms", "50.000 ms"},
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"percpu_usage": []string{"50.000 s", "50.000 s"},
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"usage_in_kernelmode": "200.000 µs",
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"usage_in_usermode": "200.000 µs",
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},
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@ -74,117 +61,12 @@ func TestConvertBigMetricFromSchema(t *testing.T) {
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},
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},
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},
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{
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name: "direct string schema: converts int64 bytes at path",
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data: map[string]interface{}{
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"limit": int64(2048),
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},
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path: ".limit",
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schema: "bytes",
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expected: map[string]interface{}{
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"limit": "2.000 KB",
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},
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},
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{
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name: "direct string schema: converts int64 nanoseconds at path",
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data: map[string]interface{}{
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"cpu": int64(1500000),
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},
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path: ".cpu",
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schema: "nanoseconds",
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expected: map[string]interface{}{
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"cpu": "1.500 ms",
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},
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},
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{
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name: "direct string schema: keeps small bytes value without unit suffix",
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data: map[string]interface{}{
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"limit": int64(500),
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},
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path: ".limit",
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schema: "bytes",
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expected: map[string]interface{}{
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"limit": "500",
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},
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},
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{
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name: "direct []string schema: converts []int64 at path",
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data: map[string]interface{}{
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"percpu_usage": []int64{1500000, 2500000000},
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},
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path: ".percpu_usage",
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schema: []string{"nanoseconds", "nanoseconds"},
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expected: map[string]interface{}{
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"percpu_usage": []string{"1.500 ms", "2.500 s"},
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},
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},
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{
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name: "map schema: recurses into single-key nested map",
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data: map[string]interface{}{
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"outer": map[string]interface{}{
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"inner": int64(4096),
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},
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},
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path: "",
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schema: map[string]interface{}{
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"outer": map[string]interface{}{
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"inner": "bytes",
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},
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},
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expected: map[string]interface{}{
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"outer": map[string]interface{}{
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"inner": "4.000 KB",
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},
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},
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},
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{
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name: "unknown schema type is a no-op",
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data: map[string]interface{}{
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"limit": int64(2048),
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},
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path: ".limit",
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schema: 42,
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expected: map[string]interface{}{
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"limit": int64(2048),
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},
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},
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{
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name: "string schema: errors when value at path is not int64",
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data: map[string]interface{}{
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"limit": "not a number",
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},
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path: ".limit",
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schema: "bytes",
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expected: map[string]interface{}{"limit": "not a number"},
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expectedErr: "Can't convert string to int64",
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},
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{
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name: "[]string schema: errors when value at path is not []int64",
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data: map[string]interface{}{
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"percpu_usage": []string{"a", "b"},
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},
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path: ".percpu_usage",
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schema: []string{"nanoseconds", "nanoseconds"},
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expected: map[string]interface{}{"percpu_usage": []string{"a", "b"}},
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expectedErr: "Can't convert []string to []int64",
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},
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{
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name: "string schema: errors when path does not exist in data",
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data: map[string]interface{}{},
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path: ".missing",
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schema: "bytes",
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expected: map[string]interface{}{},
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expectedErr: "Unable to find the key",
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},
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}
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for _, s := range scenarios {
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t.Run(s.name, func(t *testing.T) {
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if m, ok := s.schema.(map[string]interface{}); ok && m == nil {
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t.Skip("scenario depends on SCHEMA_JSON which failed to parse")
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}
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data := s.data
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err := convertBigMetricFromSchema(&data, s.path, s.schema)
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err := convertBigMetricFromSchema(&data)
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if s.expectedErr != "" {
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assert.EqualError(t, err, s.expectedErr)
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} else {
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