package kafka

import (
	"crypto/tls"
	"fmt"

	"github.com/influxdata/telegraf"
	"github.com/influxdata/telegraf/internal"
	"github.com/influxdata/telegraf/plugins/outputs"
	"github.com/influxdata/telegraf/plugins/serializers"

	"github.com/Shopify/sarama"
)

type Kafka struct {
	// Kafka brokers to send metrics to
	Brokers []string
	// Kafka topic
	Topic string
	// Routing Key Tag
	RoutingTag string `toml:"routing_tag"`
	// Compression Codec Tag
	CompressionCodec int
	// RequiredAcks Tag
	RequiredAcks int
	// MaxRetry Tag
	MaxRetry int

	// Legacy SSL config options
	// TLS client certificate
	Certificate string
	// TLS client key
	Key string
	// TLS certificate authority
	CA string

	// Path to CA file
	SSLCA string `toml:"ssl_ca"`
	// Path to host cert file
	SSLCert string `toml:"ssl_cert"`
	// Path to cert key file
	SSLKey string `toml:"ssl_key"`

	// Skip SSL verification
	InsecureSkipVerify bool

	tlsConfig tls.Config
	producer  sarama.SyncProducer

	serializer serializers.Serializer
}

var sampleConfig = `
  ## URLs of kafka brokers
  brokers = ["localhost:9092"]
  ## Kafka topic for producer messages
  topic = "telegraf"
  ## Telegraf tag to use as a routing key
  ##  ie, if this tag exists, it's value will be used as the routing key
  routing_tag = "host"

  ## CompressionCodec represents the various compression codecs recognized by Kafka in messages.
  ##  0 : No compression
  ##  1 : Gzip compression
  ##  2 : Snappy compression
  compression_codec = 0

  ##  RequiredAcks is used in Produce Requests to tell the broker how many replica acknowledgements it must see before responding
  ##  0 : the producer never waits for an acknowledgement from the broker. This option provides the lowest latency but the weakest durability guarantees (some data will be lost when a server fails).
  ##  1 : the producer gets an acknowledgement after the leader replica has received the data. This option provides better durability as the client waits until the server acknowledges the request as successful (only messages that were written to the now-dead leader but not yet replicated will be lost).
  ##  -1 : the producer gets an acknowledgement after all in-sync replicas have received the data. This option provides the best durability, we guarantee that no messages will be lost as long as at least one in sync replica remains.
  required_acks = -1

  ##  The total number of times to retry sending a message
  max_retry = 3

  ## Optional SSL Config
  # ssl_ca = "/etc/telegraf/ca.pem"
  # ssl_cert = "/etc/telegraf/cert.pem"
  # ssl_key = "/etc/telegraf/key.pem"
  ## Use SSL but skip chain & host verification
  # insecure_skip_verify = false

  ## Data format to output. This can be "influx" or "graphite"
  ## Each data format has it's own unique set of configuration options, read
  ## more about them here:
  ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
  data_format = "influx"
`

func (k *Kafka) SetSerializer(serializer serializers.Serializer) {
	k.serializer = serializer
}

func (k *Kafka) Connect() error {
	config := sarama.NewConfig()

	config.Producer.RequiredAcks = sarama.RequiredAcks(k.RequiredAcks)
	config.Producer.Compression = sarama.CompressionCodec(k.CompressionCodec)
	config.Producer.Retry.Max = k.MaxRetry

	// Legacy support ssl config
	if k.Certificate != "" {
		k.SSLCert = k.Certificate
		k.SSLCA = k.CA
		k.SSLKey = k.Key
	}

	tlsConfig, err := internal.GetTLSConfig(
		k.SSLCert, k.SSLKey, k.SSLCA, k.InsecureSkipVerify)
	if err != nil {
		return err
	}

	if tlsConfig != nil {
		config.Net.TLS.Config = tlsConfig
		config.Net.TLS.Enable = true
	}

	producer, err := sarama.NewSyncProducer(k.Brokers, config)
	if err != nil {
		return err
	}
	k.producer = producer
	return nil
}

func (k *Kafka) Close() error {
	return k.producer.Close()
}

func (k *Kafka) SampleConfig() string {
	return sampleConfig
}

func (k *Kafka) Description() string {
	return "Configuration for the Kafka server to send metrics to"
}

func (k *Kafka) Write(metrics []telegraf.Metric) error {
	if len(metrics) == 0 {
		return nil
	}

	for _, metric := range metrics {
		values, err := k.serializer.Serialize(metric)
		if err != nil {
			return err
		}

		var pubErr error
		for _, value := range values {
			m := &sarama.ProducerMessage{
				Topic: k.Topic,
				Value: sarama.StringEncoder(value),
			}
			if h, ok := metric.Tags()[k.RoutingTag]; ok {
				m.Key = sarama.StringEncoder(h)
			}

			_, _, pubErr = k.producer.SendMessage(m)
		}

		if pubErr != nil {
			return fmt.Errorf("FAILED to send kafka message: %s\n", pubErr)
		}
	}
	return nil
}

func init() {
	outputs.Add("kafka", func() telegraf.Output {
		return &Kafka{}
	})
}