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predictormodel.go
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predictormodel.go
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package platformclientv2
import (
"time"
"github.com/leekchan/timeutil"
"encoding/json"
"strconv"
"strings"
)
// Predictormodel
type Predictormodel struct {
// Id - The globally unique identifier for the object.
Id *string `json:"id,omitempty"`
// Kpi - The key performance indicator used in the model.
Kpi *string `json:"kpi,omitempty"`
// Queues - The List of Queues that are assessed for Predictive Routing.
Queues *[]Addressableentityref `json:"queues,omitempty"`
// DateCreated - DateTime indicating when the model was created. Date time is represented as an ISO-8601 string. For example: yyyy-MM-ddTHH:mm:ss[.mmm]Z
DateCreated *time.Time `json:"dateCreated,omitempty"`
// DateTrained - DateTime indicating when the model was last trained. Date time is represented as an ISO-8601 string. For example: yyyy-MM-ddTHH:mm:ss[.mmm]Z
DateTrained *time.Time `json:"dateTrained,omitempty"`
// MediaType - The media type of the model.
MediaType *string `json:"mediaType,omitempty"`
// Features
Features *[]Predictormodelfeature `json:"features,omitempty"`
}
func (o *Predictormodel) MarshalJSON() ([]byte, error) {
// Redundant initialization to avoid unused import errors for models with no Time values
_ = timeutil.Timedelta{}
type Alias Predictormodel
DateCreated := new(string)
if o.DateCreated != nil {
*DateCreated = timeutil.Strftime(o.DateCreated, "%Y-%m-%dT%H:%M:%S.%fZ")
} else {
DateCreated = nil
}
DateTrained := new(string)
if o.DateTrained != nil {
*DateTrained = timeutil.Strftime(o.DateTrained, "%Y-%m-%dT%H:%M:%S.%fZ")
} else {
DateTrained = nil
}
return json.Marshal(&struct {
Id *string `json:"id,omitempty"`
Kpi *string `json:"kpi,omitempty"`
Queues *[]Addressableentityref `json:"queues,omitempty"`
DateCreated *string `json:"dateCreated,omitempty"`
DateTrained *string `json:"dateTrained,omitempty"`
MediaType *string `json:"mediaType,omitempty"`
Features *[]Predictormodelfeature `json:"features,omitempty"`
*Alias
}{
Id: o.Id,
Kpi: o.Kpi,
Queues: o.Queues,
DateCreated: DateCreated,
DateTrained: DateTrained,
MediaType: o.MediaType,
Features: o.Features,
Alias: (*Alias)(o),
})
}
func (o *Predictormodel) UnmarshalJSON(b []byte) error {
var PredictormodelMap map[string]interface{}
err := json.Unmarshal(b, &PredictormodelMap)
if err != nil {
return err
}
if Id, ok := PredictormodelMap["id"].(string); ok {
o.Id = &Id
}
if Kpi, ok := PredictormodelMap["kpi"].(string); ok {
o.Kpi = &Kpi
}
if Queues, ok := PredictormodelMap["queues"].([]interface{}); ok {
QueuesString, _ := json.Marshal(Queues)
json.Unmarshal(QueuesString, &o.Queues)
}
if dateCreatedString, ok := PredictormodelMap["dateCreated"].(string); ok {
DateCreated, _ := time.Parse("2006-01-02T15:04:05.999999Z", dateCreatedString)
o.DateCreated = &DateCreated
}
if dateTrainedString, ok := PredictormodelMap["dateTrained"].(string); ok {
DateTrained, _ := time.Parse("2006-01-02T15:04:05.999999Z", dateTrainedString)
o.DateTrained = &DateTrained
}
if MediaType, ok := PredictormodelMap["mediaType"].(string); ok {
o.MediaType = &MediaType
}
if Features, ok := PredictormodelMap["features"].([]interface{}); ok {
FeaturesString, _ := json.Marshal(Features)
json.Unmarshal(FeaturesString, &o.Features)
}
return nil
}
// String returns a JSON representation of the model
func (o *Predictormodel) String() string {
j, _ := json.Marshal(o)
str, _ := strconv.Unquote(strings.Replace(strconv.Quote(string(j)), `\\u`, `\u`, -1))
return str
}