package kafka

import (
	"time"

	"github.com/pingcap/test-infra/caselib/pkg/model/kafka"
	"github.com/pingcap/test-infra/caselib/pkg/model/ticdc"
	"github.com/pingcap/test-infra/caselib/pkg/model/workload"
	"github.com/pingcap/test-infra/caselib/pkg/steps"
	"github.com/pingcap/test-infra/caselib/ticdc/common"
	"github.com/pingcap/test-infra/sdk/resource"
	"github.com/pingcap/tiflow/cdc/model"
)

// CdcScaleKafkaSync
// create tidb cluster / kafka / workload
// create changefeed
// stop changefeed
// prepare incremental data
// resume changefeed
// run real time data
// scale out cluster ticdc from 3 -> 5, then 5 -> 1 -> 3 -> 2 once
// wait for workload finish
// check consistency
var _ = common.AddTestCase("cdc_scale_kafka_sync", func() steps.Step {
	var (
		changeFeedID = "cdc-scale-kafka-out-in"
		dbNameVar    = common.DBName
	)
	return steps.
		NewBuilder().
		LoadEnv().
		LoadResourceFromEnv("TI_PARAM_RES_upstream", common.ResourceHandleSource).
		LoadResourceFromEnv("TI_PARAM_RES_downstream", common.ResourceHandleKafka).
		LoadResourceFromEnv("TI_PARAM_RES_workload", common.ResourceHandleWorkload).
		LoadResourceFromEnv("TI_PARAM_RES_consumer", common.ResourceHandleKafkaConsumer).
		LoadResourceFromEnv("TI_PARAM_RES_target", common.ResourceHandleKafkaConsumerTarget).
		DropDatabasesIfExists(common.ResourceHandleSource, &dbNameVar).
		InitCDCComponents(common.ResourceHandleSource, common.ResourceHandleKafka).
		OperateChangeFeed(&ticdc.ChangeFeedCreateFlags{
			SinkType: ticdc.SinkTypeKafka,
			ID:       changeFeedID,
			Options: map[string]string{
				"topic":              "cdc-event-canal-json-cdc-scale",
				"protocol":           "canal-json",
				"replication-factor": "3",
			},
		}).
		OperateChangeFeed(&ticdc.ChangeFeedCreateFlags{
			SinkType: ticdc.SinkTypeKafka,
			ID:       "cdc-scale-open-protocol-changefeed",
			Options: map[string]string{
				"topic":              "cdc-event-open-protocol-cdc-scale",
				"max-message-bytes":  "1048576",
				"protocol":           "open-protocol",
				"replication-factor": "3",
			},
		}).
		Sleep(20*time.Second).
		RunKafkaConsumer(common.ResourceHandleKafka, common.ResourceHandleKafkaConsumer, common.ResourceHandleKafkaConsumerTarget, &kafka.ConsumerOption{
			Topic:    "cdc-event-open-protocol-cdc-scale",
			Protocol: "open-protocol",
		}).
		CreateDatabase(common.ResourceHandleSource, dbNameVar).
		OperateChangeFeed(&ticdc.ChangeFeedAdminJobFlags{
			JobType: model.AdminStop,
			ID:      changeFeedID,
		}).
		InitWorkload(common.ResourceHandleWorkload).
		RunWorkload(common.Spec.GetWorkloadOption(workload.CommandTypePrepare)).
		OperateChangeFeed(&ticdc.ChangeFeedAdminJobFlags{
			JobType: model.AdminResume,
			ID:      changeFeedID,
		}).
		Parallel(
			steps.NewRunWorkload(common.Spec.GetWorkloadOption(workload.CommandTypeRun)),

			steps.NewLoopTask(1*time.Hour, 10*time.Minute, true,
				steps.NewScaleTiDBCluster(resource.TiCDC, 6, 0),
				steps.NewSwitchOwner(common.ResourceHandleSource, 20*time.Second),
				steps.NewScaleTiDBCluster(resource.TiCDC, 1, 0),
				steps.NewScaleTiDBCluster(resource.TiCDC, 5, 0),
				steps.NewSwitchOwner(common.ResourceHandleSource, 20*time.Second),
				steps.NewScaleTiDBCluster(resource.TiCDC, 2, 0),
			),
		).
		SendFinishMark(dbNameVar).
		WaitFinishMark(common.ResourceHandleKafkaConsumerTarget, dbNameVar, 2*time.Hour).
		CheckConsistency(common.ResourceHandleSource, common.ResourceHandleKafkaConsumerTarget, dbNameVar).
		DropDatabasesIfExists(common.ResourceHandleSource, &dbNameVar).
		Sleep(1 * time.Minute).
		OperateChangeFeed(&ticdc.ChangeFeedAdminJobFlags{JobType: model.AdminRemove, ID: changeFeedID, ForceRemove: true}).
		Build()
},
)