260 lines
6.3 KiB
Go
260 lines
6.3 KiB
Go
package csv
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import (
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"bytes"
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"encoding/csv"
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"fmt"
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"strconv"
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"strings"
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"time"
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"github.com/influxdata/telegraf"
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"github.com/influxdata/telegraf/metric"
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)
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type Parser struct {
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MetricName string
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HeaderRowCount int
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SkipRows int
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SkipColumns int
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Delimiter string
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Comment string
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TrimSpace bool
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ColumnNames []string
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ColumnTypes []string
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TagColumns []string
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MeasurementColumn string
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TimestampColumn string
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TimestampFormat string
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DefaultTags map[string]string
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TimeFunc func() time.Time
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}
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func (p *Parser) SetTimeFunc(fn metric.TimeFunc) {
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p.TimeFunc = fn
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}
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func (p *Parser) compile(r *bytes.Reader) (*csv.Reader, error) {
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csvReader := csv.NewReader(r)
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// ensures that the reader reads records of different lengths without an error
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csvReader.FieldsPerRecord = -1
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if p.Delimiter != "" {
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csvReader.Comma = []rune(p.Delimiter)[0]
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}
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if p.Comment != "" {
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csvReader.Comment = []rune(p.Comment)[0]
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}
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return csvReader, nil
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}
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func (p *Parser) Parse(buf []byte) ([]telegraf.Metric, error) {
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r := bytes.NewReader(buf)
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csvReader, err := p.compile(r)
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if err != nil {
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return nil, err
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}
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// skip first rows
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for i := 0; i < p.SkipRows; i++ {
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csvReader.Read()
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}
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// if there is a header and nothing in DataColumns
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// set DataColumns to names extracted from the header
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headerNames := make([]string, 0)
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if len(p.ColumnNames) == 0 {
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for i := 0; i < p.HeaderRowCount; i++ {
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header, err := csvReader.Read()
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if err != nil {
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return nil, err
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}
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//concatenate header names
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for i := range header {
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name := header[i]
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if p.TrimSpace {
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name = strings.Trim(name, " ")
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}
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if len(headerNames) <= i {
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headerNames = append(headerNames, name)
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} else {
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headerNames[i] = headerNames[i] + name
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}
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}
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}
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p.ColumnNames = headerNames[p.SkipColumns:]
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} else {
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// if columns are named, just skip header rows
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for i := 0; i < p.HeaderRowCount; i++ {
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csvReader.Read()
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}
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}
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table, err := csvReader.ReadAll()
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if err != nil {
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return nil, err
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}
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metrics := make([]telegraf.Metric, 0)
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for _, record := range table {
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m, err := p.parseRecord(record)
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if err != nil {
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return metrics, err
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}
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metrics = append(metrics, m)
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}
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return metrics, nil
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}
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// ParseLine does not use any information in header and assumes DataColumns is set
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// it will also not skip any rows
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func (p *Parser) ParseLine(line string) (telegraf.Metric, error) {
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r := bytes.NewReader([]byte(line))
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csvReader, err := p.compile(r)
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if err != nil {
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return nil, err
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}
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// if there is nothing in DataColumns, ParseLine will fail
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if len(p.ColumnNames) == 0 {
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return nil, fmt.Errorf("[parsers.csv] data columns must be specified")
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}
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record, err := csvReader.Read()
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if err != nil {
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return nil, err
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}
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m, err := p.parseRecord(record)
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if err != nil {
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return nil, err
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}
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return m, nil
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}
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func (p *Parser) parseRecord(record []string) (telegraf.Metric, error) {
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recordFields := make(map[string]interface{})
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tags := make(map[string]string)
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// skip columns in record
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record = record[p.SkipColumns:]
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outer:
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for i, fieldName := range p.ColumnNames {
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if i < len(record) {
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value := record[i]
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if p.TrimSpace {
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value = strings.Trim(value, " ")
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}
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for _, tagName := range p.TagColumns {
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if tagName == fieldName {
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tags[tagName] = value
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continue outer
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}
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}
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// Try explicit conversion only when column types is defined.
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if len(p.ColumnTypes) > 0 {
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// Throw error if current column count exceeds defined types.
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if i >= len(p.ColumnTypes) {
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return nil, fmt.Errorf("column type: column count exceeded")
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}
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var val interface{}
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var err error
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switch p.ColumnTypes[i] {
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case "int":
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val, err = strconv.ParseInt(value, 10, 64)
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if err != nil {
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return nil, fmt.Errorf("column type: parse int error %s", err)
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}
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case "float":
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val, err = strconv.ParseFloat(value, 64)
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if err != nil {
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return nil, fmt.Errorf("column type: parse float error %s", err)
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}
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case "bool":
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val, err = strconv.ParseBool(value)
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if err != nil {
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return nil, fmt.Errorf("column type: parse bool error %s", err)
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}
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default:
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val = value
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}
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recordFields[fieldName] = val
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continue
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}
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// attempt type conversions
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if iValue, err := strconv.ParseInt(value, 10, 64); err == nil {
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recordFields[fieldName] = iValue
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} else if fValue, err := strconv.ParseFloat(value, 64); err == nil {
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recordFields[fieldName] = fValue
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} else if bValue, err := strconv.ParseBool(value); err == nil {
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recordFields[fieldName] = bValue
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} else {
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recordFields[fieldName] = value
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}
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}
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}
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// add default tags
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for k, v := range p.DefaultTags {
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tags[k] = v
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}
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// will default to plugin name
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measurementName := p.MetricName
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if recordFields[p.MeasurementColumn] != nil {
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measurementName = fmt.Sprintf("%v", recordFields[p.MeasurementColumn])
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}
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metricTime, err := parseTimestamp(p.TimeFunc, recordFields, p.TimestampColumn, p.TimestampFormat)
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if err != nil {
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return nil, err
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}
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m, err := metric.New(measurementName, tags, recordFields, metricTime)
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if err != nil {
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return nil, err
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}
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return m, nil
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}
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// ParseTimestamp return a timestamp, if there is no timestamp on the csv it will be the current timestamp, else it will try to parse the time according to the format
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// if the format is "unix" it tries to parse assuming that on the csv it will find an epoch in ms.
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func parseTimestamp(timeFunc func() time.Time, recordFields map[string]interface{}, timestampColumn, timestampFormat string) (metricTime time.Time, err error) {
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metricTime = timeFunc()
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if timestampColumn != "" {
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if recordFields[timestampColumn] == nil {
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err = fmt.Errorf("timestamp column: %v could not be found", timestampColumn)
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return
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}
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tStr := fmt.Sprintf("%v", recordFields[timestampColumn])
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switch timestampFormat {
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case "":
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err = fmt.Errorf("timestamp format must be specified")
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return
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case "unix":
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var unixTime int64
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unixTime, err = strconv.ParseInt(tStr, 10, 64)
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if err != nil {
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return
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}
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metricTime = time.Unix(unixTime, 0)
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default:
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metricTime, err = time.Parse(timestampFormat, tStr)
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if err != nil {
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return
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}
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}
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}
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return
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}
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// SetDefaultTags set the DefaultTags
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func (p *Parser) SetDefaultTags(tags map[string]string) {
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p.DefaultTags = tags
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}
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