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commit 73eac1d9ea
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go.mod Normal file
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module excel-chart
go 1.23.2
require github.com/xuri/excelize/v2 v2.8.1
require (
github.com/mohae/deepcopy v0.0.0-20170929034955-c48cc78d4826 // indirect
github.com/richardlehane/mscfb v1.0.4 // indirect
github.com/richardlehane/msoleps v1.0.3 // indirect
github.com/xuri/efp v0.0.0-20231025114914-d1ff6096ae53 // indirect
github.com/xuri/nfp v0.0.0-20230919160717-d98342af3f05 // indirect
golang.org/x/crypto v0.19.0 // indirect
golang.org/x/net v0.21.0 // indirect
golang.org/x/text v0.14.0 // indirect
)

29
go.sum Normal file
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github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/mohae/deepcopy v0.0.0-20170929034955-c48cc78d4826 h1:RWengNIwukTxcDr9M+97sNutRR1RKhG96O6jWumTTnw=
github.com/mohae/deepcopy v0.0.0-20170929034955-c48cc78d4826/go.mod h1:TaXosZuwdSHYgviHp1DAtfrULt5eUgsSMsZf+YrPgl8=
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
github.com/richardlehane/mscfb v1.0.4 h1:WULscsljNPConisD5hR0+OyZjwK46Pfyr6mPu5ZawpM=
github.com/richardlehane/mscfb v1.0.4/go.mod h1:YzVpcZg9czvAuhk9T+a3avCpcFPMUWm7gK3DypaEsUk=
github.com/richardlehane/msoleps v1.0.1/go.mod h1:BWev5JBpU9Ko2WAgmZEuiz4/u3ZYTKbjLycmwiWUfWg=
github.com/richardlehane/msoleps v1.0.3 h1:aznSZzrwYRl3rLKRT3gUk9am7T/mLNSnJINvN0AQoVM=
github.com/richardlehane/msoleps v1.0.3/go.mod h1:BWev5JBpU9Ko2WAgmZEuiz4/u3ZYTKbjLycmwiWUfWg=
github.com/stretchr/testify v1.8.4 h1:CcVxjf3Q8PM0mHUKJCdn+eZZtm5yQwehR5yeSVQQcUk=
github.com/stretchr/testify v1.8.4/go.mod h1:sz/lmYIOXD/1dqDmKjjqLyZ2RngseejIcXlSw2iwfAo=
github.com/xuri/efp v0.0.0-20231025114914-d1ff6096ae53 h1:Chd9DkqERQQuHpXjR/HSV1jLZA6uaoiwwH3vSuF3IW0=
github.com/xuri/efp v0.0.0-20231025114914-d1ff6096ae53/go.mod h1:ybY/Jr0T0GTCnYjKqmdwxyxn2BQf2RcQIIvex5QldPI=
github.com/xuri/excelize/v2 v2.8.1 h1:pZLMEwK8ep+CLIUWpWmvW8IWE/yxqG0I1xcN6cVMGuQ=
github.com/xuri/excelize/v2 v2.8.1/go.mod h1:oli1E4C3Pa5RXg1TBXn4ENCXDV5JUMlBluUhG7c+CEE=
github.com/xuri/nfp v0.0.0-20230919160717-d98342af3f05 h1:qhbILQo1K3mphbwKh1vNm4oGezE1eF9fQWmNiIpSfI4=
github.com/xuri/nfp v0.0.0-20230919160717-d98342af3f05/go.mod h1:WwHg+CVyzlv/TX9xqBFXEZAuxOPxn2k1GNHwG41IIUQ=
golang.org/x/crypto v0.19.0 h1:ENy+Az/9Y1vSrlrvBSyna3PITt4tiZLf7sgCjZBX7Wo=
golang.org/x/crypto v0.19.0/go.mod h1:Iy9bg/ha4yyC70EfRS8jz+B6ybOBKMaSxLj6P6oBDfU=
golang.org/x/image v0.14.0 h1:tNgSxAFe3jC4uYqvZdTr84SZoM1KfwdC9SKIFrLjFn4=
golang.org/x/image v0.14.0/go.mod h1:HUYqC05R2ZcZ3ejNQsIHQDQiwWM4JBqmm6MKANTp4LE=
golang.org/x/net v0.21.0 h1:AQyQV4dYCvJ7vGmJyKki9+PBdyvhkSd8EIx/qb0AYv4=
golang.org/x/net v0.21.0/go.mod h1:bIjVDfnllIU7BJ2DNgfnXvpSvtn8VRwhlsaeUTyUS44=
golang.org/x/text v0.14.0 h1:ScX5w1eTa3QqT8oi6+ziP7dTV1S2+ALU0bI+0zXKWiQ=
golang.org/x/text v0.14.0/go.mod h1:18ZOQIKpY8NJVqYksKHtTdi31H5itFRjB5/qKTNYzSU=
gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=

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main.go Normal file
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package main
import (
"encoding/json"
"fmt"
"io"
"log"
"os"
"reflect"
"runtime"
"slices"
"sort"
"strconv"
"time"
"github.com/xuri/excelize/v2"
)
type Input struct {
Tracking struct {
AvgCpu struct {
Tin Record `json:"Tin"`
Bronze Record `json:"Bronze"`
Silver Record `json:"Silver"`
Gold Record `json:"Gold"`
} `json:"AVG vCPUs"`
AvgRam Record `json:"Avg RAM (GB)"`
ProVmCount Record `json:"ProRated VM Count"`
VmCount Record `json:"VM Name"`
} `json:"Tracking"`
}
type Record struct {
Ryde json.RawMessage `json:"Ryde Computer Centre"`
Wsdc json.RawMessage `json:"Western Sydney Data Centre"`
}
func GenerateAvgVcpusCharts(f *excelize.File, data any, name string) {
var err error
rydeAvgCpu := make(map[string]interface{})
wsdcAvgCpu := make(map[string]interface{})
var avgCpuColumns []string
// Access AvgCpu using reflection
avgCpuVal := reflect.ValueOf(data)
avgCpuType := reflect.TypeOf(data)
// Iterate over each field in AvgCpu
for i := 0; i < avgCpuVal.NumField(); i++ {
field := avgCpuVal.Field(i)
fieldName := avgCpuType.Field(i).Name
// Create variables to hold unmarshaled data
var rydeData interface{}
var wsdcData interface{}
// Unmarshal Ryde and Wsdc fields into interface{} if they contain valid JSON
ryde := field.FieldByName("Ryde")
wsdc := field.FieldByName("Wsdc")
if len(ryde.Interface().(json.RawMessage)) > 0 {
err = json.Unmarshal(ryde.Interface().(json.RawMessage), &rydeData)
if err != nil {
fmt.Printf("Error unmarshaling Ryde for %s: %v\n", fieldName, err)
}
}
if len(wsdc.Interface().(json.RawMessage)) > 0 {
err = json.Unmarshal(wsdc.Interface().(json.RawMessage), &wsdcData)
if err != nil {
fmt.Printf("Error unmarshaling Wsdc for %s: %v\n", fieldName, err)
}
}
rydeAvgCpu[fieldName] = rydeData
wsdcAvgCpu[fieldName] = wsdcData
avgCpuColumns = append(avgCpuColumns, fieldName)
}
// Generate RCC worksheet and graph
AvgChart(f, name+" RCC", "A1", avgCpuColumns, rydeAvgCpu)
// Generate WSDC worksheet and graph
AvgChart(f, name+" WSDC", "N1", avgCpuColumns, wsdcAvgCpu)
}
func GenerateCharts(f *excelize.File, data any, name string, location string) {
var err error
parsedData := make(map[string]interface{})
var dataColumns = []string{"RCC", "WSDC"}
// Create interfaces to hold unmarshaled data
var rcc interface{}
var wsdc interface{}
// Access specific json objects using reflection
values := reflect.ValueOf(data)
rccField := values.FieldByName("Ryde")
wsdcField := values.FieldByName("Wsdc")
// unmarshal raw json into interfaces
if len(rccField.Interface().(json.RawMessage)) > 0 {
err = json.Unmarshal(rccField.Interface().(json.RawMessage), &rcc)
if err != nil {
fmt.Printf("Error unmarshaling Ryde: %v\n", err)
}
}
if len(wsdcField.Interface().(json.RawMessage)) > 0 {
err = json.Unmarshal(wsdcField.Interface().(json.RawMessage), &wsdc)
if err != nil {
fmt.Printf("Error unmarshaling Wsdc: %v\n", err)
}
}
// store the data together
parsedData["RCC"] = rcc
parsedData["WSDC"] = wsdc
//prettyPrint(parsedData)
// Generate worksheet and graph
AvgChart(f, name, location, dataColumns, parsedData)
}
func AvgChart(f *excelize.File, worksheetName string, location string, avgCpuColumns []string, data map[string]interface{}) {
var err error
var chartSeries []excelize.ChartSeries
var dataDates []string
var col int
var row int
_, err = f.NewSheet(worksheetName)
if err != nil {
log.Fatal(err)
}
// Create column headers dynamically
f.SetCellValue(worksheetName, "A1", "Date")
for i := 0; i < len(avgCpuColumns); i++ {
cell := string(rune('A'+i+1)) + "1" // A1, B1, C1, etc.
f.SetCellValue(worksheetName, cell, avgCpuColumns[i])
}
// Get the values for the dates column
for _, v := range data {
for date := range v.(map[string]interface{}) {
dataDates = append(dataDates, date)
}
break
}
// Sort dates using the custom function
err = sortDates(dataDates)
if err != nil {
fmt.Println("Failed to sort dates:", err)
return
}
// set the values for the dates column
for i := 0; i < len(dataDates); i++ {
cell := string(rune('A')) + strconv.Itoa(i+2) // A2, A3 etc
f.SetCellValue(worksheetName, cell, dataDates[i])
}
for pool, v := range data { // iterate each resource pool type
// Find the column that matches, add one to account for the date column
col = slices.Index(avgCpuColumns, pool) + 1
//fmt.Printf("Pool: %s, column: %d\n", pool, col)
for date, val := range v.(map[string]interface{}) { // use type assertion to loop over map[string]interface{}
//fmt.Printf("val: %v\n", val)
// Find the correct row, add one to account for sheet heading
row = slices.Index(dataDates, date) + 1
cell := string(rune('A'+col)) + strconv.Itoa(row+1)
//fmt.Printf("Adding value %f (%s) to %s]\n", val, date, cell)
f.SetCellValue(worksheetName, cell, val)
}
// Create the chartseries for this resource pool
thisChartSeries := excelize.ChartSeries{
Name: "'" + worksheetName + "'!$" + string(rune('A'+col)) + "$1", // Reference the cell containing the resource pool name, eg Tin in $B$1
Categories: "'" + worksheetName + "'!$A$2:$A$" + strconv.Itoa(len(dataDates)+1), // Reference the dates in the first column eg $A$2:$A$5
Values: "'" + worksheetName + "'!$" + string(rune('A'+col)) + "$2:$" + string(rune('A'+col)) + "$" + strconv.Itoa(len(dataDates)+1), // Reference the values in the column matching the resource pool name, eg Tin in $B$2:$B$5
Line: excelize.ChartLine{
Smooth: true,
},
}
//prettyPrint(thisChartSeries)
chartSeries = append(chartSeries, thisChartSeries)
}
if err := f.AddChart("Report", location, &excelize.Chart{
Type: excelize.Line,
Series: chartSeries,
Format: excelize.GraphicOptions{
OffsetX: 5,
OffsetY: 5,
},
Legend: excelize.ChartLegend{
Position: "right",
},
Title: []excelize.RichTextRun{
{
Text: worksheetName,
},
},
PlotArea: excelize.ChartPlotArea{
ShowCatName: false,
ShowLeaderLines: false,
ShowPercent: true,
ShowSerName: false,
ShowVal: false,
},
ShowBlanksAs: "zero",
XAxis: excelize.ChartAxis{
MajorGridLines: true,
MinorGridLines: true,
Font: excelize.Font{
Color: "000000",
},
},
YAxis: excelize.ChartAxis{
MajorGridLines: true,
MinorGridLines: true,
Font: excelize.Font{
Color: "000000",
},
},
Dimension: excelize.ChartDimension{
Height: 500,
Width: 800,
},
}); err != nil {
fmt.Println(err)
return
}
}
func main() {
var err error
// Create the workbook
f := excelize.NewFile()
defer func() {
if err := f.Close(); err != nil {
fmt.Println(err)
}
}()
err = f.SetSheetName("Sheet1", "Report")
if err != nil {
log.Fatal(err)
}
// Load the JSON data from file
file, err := os.Open("input.json")
if err != nil {
log.Fatalf("Failed to open input.json: %v", err)
}
defer file.Close()
byteValue, _ := io.ReadAll(file)
var data Input
if err := json.Unmarshal(byteValue, &data); err != nil {
log.Fatal(err)
}
// Generate charts into workbook
GenerateAvgVcpusCharts(f, data.Tracking.AvgCpu, "Average vCPUs")
GenerateCharts(f, data.Tracking.AvgRam, "Average RAM(GB)", "A30")
GenerateCharts(f, data.Tracking.ProVmCount, "ProRated VM Count", "A60")
GenerateCharts(f, data.Tracking.VmCount, "VM Count", "N60")
// Save workbook
if err := f.SaveAs("Book1.xlsx"); err != nil {
fmt.Println(err)
}
}
// parseDate parses a date string like "January-2006" into a time.Time object
func parseDate(dateStr string) (time.Time, error) {
layout := "January-2006"
return time.Parse(layout, dateStr)
}
// sortDates sorts a slice of date strings in the format "Month-Year"
func sortDates(dates []string) error {
// Custom sort logic
sort.Slice(dates, func(i, j int) bool {
date1, err1 := parseDate(dates[i])
date2, err2 := parseDate(dates[j])
if err1 != nil || err2 != nil {
fmt.Println("Error parsing dates:", err1, err2)
return false
}
// Compare parsed dates
return date1.Before(date2)
})
return nil
}
func fetchValue(value interface{}) {
switch value.(type) {
case string:
fmt.Printf("%v is an interface \n ", value)
case bool:
fmt.Printf("%v is bool \n ", value)
case float64:
fmt.Printf("%v is float64 \n ", value)
case []interface{}:
fmt.Printf("%v is a slice of interface \n ", value)
for _, v := range value.([]interface{}) { // use type assertion to loop over []interface{}
fetchValue(v)
}
case map[string]interface{}:
fmt.Printf("%v is a map \n ", value)
for _, v := range value.(map[string]interface{}) { // use type assertion to loop over map[string]interface{}
fetchValue(v)
}
default:
fmt.Printf("%v is unknown \n ", value)
}
}
// prettyPrint comes from https://gist.github.com/sfate/9d45f6c5405dc4c9bf63bf95fe6d1a7c
func prettyPrint(args ...interface{}) {
var caller string
timeNow := time.Now().Format("01-02-2006 15:04:05")
prefix := fmt.Sprintf("[%s] %s -- ", "PrettyPrint", timeNow)
_, fileName, fileLine, ok := runtime.Caller(1)
if ok {
caller = fmt.Sprintf("%s:%d", fileName, fileLine)
} else {
caller = ""
}
fmt.Printf("\n%s%s\n", prefix, caller)
if len(args) == 2 {
label := args[0]
value := args[1]
s, _ := json.MarshalIndent(value, "", "\t")
fmt.Printf("%s%s: %s\n", prefix, label, string(s))
} else {
s, _ := json.MarshalIndent(args, "", "\t")
fmt.Printf("%s%s\n", prefix, string(s))
}
}