model_get_metric_timeseries_data_response.go

// Mux Go - Copyright 2019 Mux Inc.
// NOTE: This file is auto generated. Do not edit this file manually.

package muxgo

import (
	"encoding/json"
	"fmt"
)

type GetMetricTimeseriesDataResponse struct {
	Data          [][]string                      `json:"data,omitempty"`
	TotalRowCount int64                           `json:"total_row_count,omitempty"`
	Timeframe     []int64                         `json:"timeframe,omitempty"`
	Meta          ListBreakdownValuesResponseMeta `json:"meta,omitempty"`
}

// !!! 🐉 Here be dragons 🐉 !!!
// We use a custom Unmarshal to work around one awkward API call where we can't model the response
// from the API elegantly since go doesn't have heterogeneous arrays. This isn't perfect, or memory
// friendly, but it works.
func (this *GetMetricTimeseriesDataResponse) UnmarshalJSON(data []byte) error {

	// Unmarshal JSON into a string => interface{} map
	var result map[string]interface{}
	json.Unmarshal(data, &result)

	// Build up a new list of each of the datapoints from data as [][]string, nil checking as we go
	datapoints := [][]string{}
	for _, node := range result["data"].([]interface{}) {
		nodeAsArray := node.([]interface{})
		d := make([]string, 3)
		d[0] = nodeAsArray[0].(string)
		if nodeAsArray[1] != nil {
			d[1] = fmt.Sprintf("%f", nodeAsArray[1].(float64))
		}
		if nodeAsArray[2] != nil {
			d[2] = fmt.Sprintf("%f", nodeAsArray[2].(float64))
		}
		datapoints = append(datapoints, d)
	}

	// Build the array of timeframe
	timeframes := []int64{}
	for _, time := range result["timeframe"].([]interface{}) {
		timefloat := time.(float64)
		timeframes = append(timeframes, int64(timefloat))
	}

	// Set the fields on the response object to what we've pieced together
	this.Data = datapoints
	this.Timeframe = timeframes
	this.TotalRowCount = int64(result["total_row_count"].(float64))

	return nil
}