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learningassignmentaggregateparam.go
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learningassignmentaggregateparam.go
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package platformclientv2
import (
"github.com/leekchan/timeutil"
"encoding/json"
"strconv"
"strings"
)
// Learningassignmentaggregateparam
type Learningassignmentaggregateparam struct {
// Interval - Specifies the range of due dates to be used for filtering. Milliseconds will be truncated. A maximum of 1 year can be specified in the range. End date is not inclusive. Intervals are represented as an ISO-8601 string. For example: YYYY-MM-DDThh:mm:ss/YYYY-MM-DDThh:mm:ss
Interval *string `json:"interval,omitempty"`
// Metrics - The list of metrics to be returned. If omitted, all metrics are returned.
Metrics *[]string `json:"metrics,omitempty"`
// GroupBy - Specifies if the aggregated data is combined into a single set of metrics (groupBy is empty or not specified), or contains an element per attendeeId (groupBy is \"attendeeId\")
GroupBy *[]string `json:"groupBy,omitempty"`
// Filter - The filter applied to the data. This is ANDed with the interval parameter.
Filter *Learningassignmentaggregatequeryrequestfilter `json:"filter,omitempty"`
}
func (o *Learningassignmentaggregateparam) MarshalJSON() ([]byte, error) {
// Redundant initialization to avoid unused import errors for models with no Time values
_ = timeutil.Timedelta{}
type Alias Learningassignmentaggregateparam
return json.Marshal(&struct {
Interval *string `json:"interval,omitempty"`
Metrics *[]string `json:"metrics,omitempty"`
GroupBy *[]string `json:"groupBy,omitempty"`
Filter *Learningassignmentaggregatequeryrequestfilter `json:"filter,omitempty"`
*Alias
}{
Interval: o.Interval,
Metrics: o.Metrics,
GroupBy: o.GroupBy,
Filter: o.Filter,
Alias: (*Alias)(o),
})
}
func (o *Learningassignmentaggregateparam) UnmarshalJSON(b []byte) error {
var LearningassignmentaggregateparamMap map[string]interface{}
err := json.Unmarshal(b, &LearningassignmentaggregateparamMap)
if err != nil {
return err
}
if Interval, ok := LearningassignmentaggregateparamMap["interval"].(string); ok {
o.Interval = &Interval
}
if Metrics, ok := LearningassignmentaggregateparamMap["metrics"].([]interface{}); ok {
MetricsString, _ := json.Marshal(Metrics)
json.Unmarshal(MetricsString, &o.Metrics)
}
if GroupBy, ok := LearningassignmentaggregateparamMap["groupBy"].([]interface{}); ok {
GroupByString, _ := json.Marshal(GroupBy)
json.Unmarshal(GroupByString, &o.GroupBy)
}
if Filter, ok := LearningassignmentaggregateparamMap["filter"].(map[string]interface{}); ok {
FilterString, _ := json.Marshal(Filter)
json.Unmarshal(FilterString, &o.Filter)
}
return nil
}
// String returns a JSON representation of the model
func (o *Learningassignmentaggregateparam) String() string {
j, _ := json.Marshal(o)
str, _ := strconv.Unquote(strings.Replace(strconv.Quote(string(j)), `\\u`, `\u`, -1))
return str
}