// SPDX-License-Identifier: AGPL-3.0-only

package ingest

import (
	"context"
	"errors"
	"strings"
	"sync"
	"testing"
	"time"

	"github.com/go-kit/log"
	"github.com/prometheus/client_golang/prometheus"
	promtest "github.com/prometheus/client_golang/prometheus/testutil"
	"github.com/stretchr/testify/assert"
	"github.com/stretchr/testify/require"
	"github.com/twmb/franz-go/pkg/kadm"
	"github.com/twmb/franz-go/pkg/kerr"
	"github.com/twmb/franz-go/pkg/kmsg"
	"go.uber.org/atomic"

	"github.com/grafana/mimir/pkg/util/testkafka"
)

func TestPartitionOffsetClient_FetchPartitionLastProducedOffset(t *testing.T) {
	const (
		numPartitions = 1
		topicName     = "test"
		partitionID   = int32(0)
	)

	var (
		ctx    = context.Background()
		logger = log.NewNopLogger()
	)

	t.Run("should return the last produced offset, or -1 if the partition is empty", func(t *testing.T) {
		t.Parallel()

		var (
			_, clusterAddr = testkafka.CreateCluster(t, numPartitions, topicName)
			kafkaCfg       = createTestKafkaConfig(clusterAddr, topicName)
			client         = createTestKafkaClient(t, kafkaCfg)
			reg            = prometheus.NewPedanticRegistry()
			reader         = newPartitionOffsetClient(client, topicName, reg, logger)
		)

		offset, err := reader.FetchPartitionLastProducedOffset(ctx, partitionID)
		require.NoError(t, err)
		assert.Equal(t, int64(-1), offset)

		// Write the 1st message.
		produceRecord(ctx, t, client, topicName, partitionID, []byte("message 1"))

		offset, err = reader.FetchPartitionLastProducedOffset(ctx, partitionID)
		require.NoError(t, err)
		assert.Equal(t, int64(0), offset)

		// Write the 2nd message.
		produceRecord(ctx, t, client, topicName, partitionID, []byte("message 2"))

		offset, err = reader.FetchPartitionLastProducedOffset(ctx, partitionID)
		require.NoError(t, err)
		assert.Equal(t, int64(1), offset)

		assert.NoError(t, promtest.GatherAndCompare(reg, strings.NewReader(`
			# HELP cortex_ingest_storage_reader_last_produced_offset_failures_total Total number of failed requests to get the last produced offset.
			# TYPE cortex_ingest_storage_reader_last_produced_offset_failures_total counter
			cortex_ingest_storage_reader_last_produced_offset_failures_total{partition="0"} 0

			# HELP cortex_ingest_storage_reader_last_produced_offset_requests_total Total number of requests issued to get the last produced offset.
			# TYPE cortex_ingest_storage_reader_last_produced_offset_requests_total counter
			cortex_ingest_storage_reader_last_produced_offset_requests_total{partition="0"} 3
		`), "cortex_ingest_storage_reader_last_produced_offset_requests_total",
			"cortex_ingest_storage_reader_last_produced_offset_failures_total"))
	})

	t.Run("should honor context deadline and not fail other in-flight requests issued while the canceled one was still running", func(t *testing.T) {
		t.Parallel()

		var (
			cluster, clusterAddr = testkafka.CreateCluster(t, numPartitions, topicName)
			kafkaCfg             = createTestKafkaConfig(clusterAddr, topicName)
			client               = createTestKafkaClient(t, kafkaCfg)
			reg                  = prometheus.NewPedanticRegistry()
			reader               = newPartitionOffsetClient(client, topicName, reg, logger)

			firstRequest         = atomic.NewBool(true)
			firstRequestReceived = make(chan struct{})
			firstRequestTimeout  = time.Second
		)

		// Write some messages.
		produceRecord(ctx, t, client, topicName, partitionID, []byte("message 1"))
		produceRecord(ctx, t, client, topicName, partitionID, []byte("message 2"))
		expectedOffset := int64(1)

		// Slow down the 1st ListOffsets request.
		cluster.ControlKey(int16(kmsg.ListOffsets), func(kmsg.Request) (kmsg.Response, error, bool) {
			if firstRequest.CompareAndSwap(true, false) {
				close(firstRequestReceived)
				time.Sleep(2 * firstRequestTimeout)
			}
			return nil, nil, false
		})

		wg := sync.WaitGroup{}

		// Run the 1st FetchPartitionLastProducedOffset() with a timeout which is expected to expire
		// before the request will succeed.
		runAsync(&wg, func() {
			ctxWithTimeout, cancel := context.WithTimeout(ctx, firstRequestTimeout)
			defer cancel()

			_, err := reader.FetchPartitionLastProducedOffset(ctxWithTimeout, partitionID)
			require.ErrorIs(t, err, context.DeadlineExceeded)
		})

		// Run a 2nd FetchPartitionLastProducedOffset() once the 1st request is received. This request
		// is expected to succeed.
		runAsyncAfter(&wg, firstRequestReceived, func() {
			offset, err := reader.FetchPartitionLastProducedOffset(ctx, partitionID)
			require.NoError(t, err)
			assert.Equal(t, expectedOffset, offset)
		})

		wg.Wait()
	})

	t.Run("should honor the configured retry timeout", func(t *testing.T) {
		t.Parallel()

		cluster, clusterAddr := testkafka.CreateCluster(t, numPartitions, topicName)

		// Configure a short retry timeout.
		kafkaCfg := createTestKafkaConfig(clusterAddr, topicName)
		kafkaCfg.LastProducedOffsetRetryTimeout = time.Second

		client := createTestKafkaClient(t, kafkaCfg)
		reg := prometheus.NewPedanticRegistry()
		reader := newPartitionOffsetClient(client, topicName, reg, logger)

		// Make the ListOffsets request failing.
		actualTries := atomic.NewInt64(0)
		cluster.ControlKey(int16(kmsg.ListOffsets), func(kmsg.Request) (kmsg.Response, error, bool) {
			cluster.KeepControl()
			actualTries.Inc()
			return nil, errors.New("mocked error"), true
		})

		startTime := time.Now()
		_, err := reader.FetchPartitionLastProducedOffset(ctx, partitionID)
		elapsedTime := time.Since(startTime)

		require.Error(t, err)

		// Ensure the retry timeout has been honored.
		toleranceSeconds := 0.5
		assert.InDelta(t, kafkaCfg.LastProducedOffsetRetryTimeout.Seconds(), elapsedTime.Seconds(), toleranceSeconds)

		// Ensure the request was retried.
		assert.Greater(t, actualTries.Load(), int64(1))
	})
}

func TestPartitionOffsetClient_FetchPartitionStartOffset(t *testing.T) {
	const (
		numPartitions = 1
		topicName     = "test"
		partitionID   = int32(0)
	)

	var (
		ctx    = context.Background()
		logger = log.NewNopLogger()
	)

	t.Run("should return the partition start offset", func(t *testing.T) {
		t.Parallel()

		var (
			_, clusterAddr = testkafka.CreateCluster(t, numPartitions, topicName)
			kafkaCfg       = createTestKafkaConfig(clusterAddr, topicName)
			client         = createTestKafkaClient(t, kafkaCfg)
			reg            = prometheus.NewPedanticRegistry()
			reader         = newPartitionOffsetClient(client, topicName, reg, logger)
		)

		offset, err := reader.FetchPartitionStartOffset(ctx, partitionID)
		require.NoError(t, err)
		assert.Equal(t, int64(0), offset)

		// Write the 1st record.
		produceRecord(ctx, t, client, topicName, partitionID, []byte("record 1"))

		offset, err = reader.FetchPartitionStartOffset(ctx, partitionID)
		require.NoError(t, err)
		assert.Equal(t, int64(0), offset)

		// Write the 2nd record.
		produceRecord(ctx, t, client, topicName, partitionID, []byte("record 2"))

		offset, err = reader.FetchPartitionStartOffset(ctx, partitionID)
		require.NoError(t, err)
		assert.Equal(t, int64(0), offset)

		// Delete the 1st record.
		adminClient := kadm.NewClient(client)
		advancePartitionStartTo := kadm.Offsets{}
		advancePartitionStartTo.Add(kadm.Offset{Topic: topicName, Partition: partitionID, At: 1})
		_, err = adminClient.DeleteRecords(ctx, advancePartitionStartTo)
		require.NoError(t, err)
		t.Log("advanced partition start offset to 1")

		offset, err = reader.FetchPartitionStartOffset(ctx, partitionID)
		require.NoError(t, err)
		assert.Equal(t, int64(1), offset)

		assert.NoError(t, promtest.GatherAndCompare(reg, strings.NewReader(`
			# HELP cortex_ingest_storage_reader_partition_start_offset_failures_total Total number of failed requests to get the partition start offset.
			# TYPE cortex_ingest_storage_reader_partition_start_offset_failures_total counter
			cortex_ingest_storage_reader_partition_start_offset_failures_total{partition="0"} 0

			# HELP cortex_ingest_storage_reader_partition_start_offset_requests_total Total number of requests issued to get the partition start offset.
			# TYPE cortex_ingest_storage_reader_partition_start_offset_requests_total counter
			cortex_ingest_storage_reader_partition_start_offset_requests_total{partition="0"} 4
		`), "cortex_ingest_storage_reader_partition_start_offset_requests_total",
			"cortex_ingest_storage_reader_partition_start_offset_failures_total"))
	})

	t.Run("should honor context deadline and not fail other in-flight requests issued while the canceled one was still running", func(t *testing.T) {
		t.Parallel()

		var (
			cluster, clusterAddr = testkafka.CreateCluster(t, numPartitions, topicName)
			kafkaCfg             = createTestKafkaConfig(clusterAddr, topicName)
			client               = createTestKafkaClient(t, kafkaCfg)
			reg                  = prometheus.NewPedanticRegistry()
			reader               = newPartitionOffsetClient(client, topicName, reg, logger)

			firstRequest         = atomic.NewBool(true)
			firstRequestReceived = make(chan struct{})
			firstRequestTimeout  = time.Second
		)

		// Write 2 records.
		produceRecord(ctx, t, client, topicName, partitionID, []byte("record 1"))
		produceRecord(ctx, t, client, topicName, partitionID, []byte("record 2"))
		t.Log("produced 2 records")

		// Delete the 1st record.
		adminClient := kadm.NewClient(client)
		advancePartitionStartTo := kadm.Offsets{}
		advancePartitionStartTo.Add(kadm.Offset{Topic: topicName, Partition: partitionID, At: 1})
		_, err := adminClient.DeleteRecords(ctx, advancePartitionStartTo)
		require.NoError(t, err)
		t.Log("advanced partition start offset to 1")

		expectedStartOffset := int64(1)

		// Slow down the 1st ListOffsets request.
		cluster.ControlKey(int16(kmsg.ListOffsets), func(kmsg.Request) (kmsg.Response, error, bool) {
			if firstRequest.CompareAndSwap(true, false) {
				close(firstRequestReceived)
				time.Sleep(2 * firstRequestTimeout)
			}
			return nil, nil, false
		})

		wg := sync.WaitGroup{}

		// Run the 1st FetchPartitionStartOffset() with a timeout which is expected to expire
		// before the request will succeed.
		runAsync(&wg, func() {
			ctxWithTimeout, cancel := context.WithTimeout(ctx, firstRequestTimeout)
			defer cancel()

			_, err := reader.FetchPartitionStartOffset(ctxWithTimeout, partitionID)
			require.ErrorIs(t, err, context.DeadlineExceeded)
		})

		// Run a 2nd FetchPartitionStartOffset() once the 1st request is received. This request
		// is expected to succeed.
		runAsyncAfter(&wg, firstRequestReceived, func() {
			offset, err := reader.FetchPartitionStartOffset(ctx, partitionID)
			require.NoError(t, err)
			assert.Equal(t, expectedStartOffset, offset)
		})

		wg.Wait()
	})

	t.Run("should honor the configured retry timeout", func(t *testing.T) {
		t.Parallel()

		cluster, clusterAddr := testkafka.CreateCluster(t, numPartitions, topicName)

		// Configure a short retry timeout.
		kafkaCfg := createTestKafkaConfig(clusterAddr, topicName)
		kafkaCfg.LastProducedOffsetRetryTimeout = time.Second

		client := createTestKafkaClient(t, kafkaCfg)
		reg := prometheus.NewPedanticRegistry()
		reader := newPartitionOffsetClient(client, topicName, reg, logger)

		// Make the ListOffsets request failing.
		actualTries := atomic.NewInt64(0)
		cluster.ControlKey(int16(kmsg.ListOffsets), func(kmsg.Request) (kmsg.Response, error, bool) {
			cluster.KeepControl()
			actualTries.Inc()
			return nil, errors.New("mocked error"), true
		})

		startTime := time.Now()
		_, err := reader.FetchPartitionStartOffset(ctx, partitionID)
		elapsedTime := time.Since(startTime)

		require.Error(t, err)

		// Ensure the retry timeout has been honored.
		toleranceSeconds := 0.5
		assert.InDelta(t, kafkaCfg.LastProducedOffsetRetryTimeout.Seconds(), elapsedTime.Seconds(), toleranceSeconds)

		// Ensure the request was retried.
		assert.Greater(t, actualTries.Load(), int64(1))
	})
}

func TestPartitionOffsetClient_FetchPartitionsLastProducedOffsets(t *testing.T) {
	const (
		numPartitions = 3
		topicName     = "test"
	)

	var (
		ctx             = context.Background()
		logger          = log.NewNopLogger()
		allPartitionIDs = []int32{0, 1, 2}
	)

	t.Run("should return the last produced offsets, or -1 if the partition is empty", func(t *testing.T) {
		t.Parallel()

		var (
			_, clusterAddr = testkafka.CreateCluster(t, numPartitions, topicName)
			kafkaCfg       = createTestKafkaConfig(clusterAddr, topicName)
			client         = createTestKafkaClient(t, kafkaCfg)
			reg            = prometheus.NewPedanticRegistry()
			reader         = newPartitionOffsetClient(client, topicName, reg, logger)
		)

		offsets, err := reader.FetchPartitionsLastProducedOffsets(ctx, allPartitionIDs)
		require.NoError(t, err)
		assert.Equal(t, map[int32]int64{0: -1, 1: -1, 2: -1}, offsets)

		// Write some records.
		produceRecord(ctx, t, client, topicName, 0, []byte("message 1"))
		produceRecord(ctx, t, client, topicName, 0, []byte("message 2"))
		produceRecord(ctx, t, client, topicName, 1, []byte("message 3"))

		offsets, err = reader.FetchPartitionsLastProducedOffsets(ctx, allPartitionIDs)
		require.NoError(t, err)
		assert.Equal(t, map[int32]int64{0: 1, 1: 0, 2: -1}, offsets)

		// Write more records.
		produceRecord(ctx, t, client, topicName, 0, []byte("message 4"))
		produceRecord(ctx, t, client, topicName, 1, []byte("message 5"))
		produceRecord(ctx, t, client, topicName, 2, []byte("message 6"))

		offsets, err = reader.FetchPartitionsLastProducedOffsets(ctx, allPartitionIDs)
		require.NoError(t, err)
		assert.Equal(t, map[int32]int64{0: 2, 1: 1, 2: 0}, offsets)

		// Fetch offsets for a subset of partitions.
		offsets, err = reader.FetchPartitionsLastProducedOffsets(ctx, []int32{0, 2})
		require.NoError(t, err)
		assert.Equal(t, map[int32]int64{0: 2, 2: 0}, offsets)

		assert.NoError(t, promtest.GatherAndCompare(reg, strings.NewReader(`
			# HELP cortex_ingest_storage_reader_last_produced_offset_failures_total Total number of failed requests to get the last produced offset.
			# TYPE cortex_ingest_storage_reader_last_produced_offset_failures_total counter
			cortex_ingest_storage_reader_last_produced_offset_failures_total{partition="mixed"} 0

			# HELP cortex_ingest_storage_reader_last_produced_offset_requests_total Total number of requests issued to get the last produced offset.
			# TYPE cortex_ingest_storage_reader_last_produced_offset_requests_total counter
			cortex_ingest_storage_reader_last_produced_offset_requests_total{partition="mixed"} 4
		`), "cortex_ingest_storage_reader_last_produced_offset_requests_total",
			"cortex_ingest_storage_reader_last_produced_offset_failures_total"))
	})

	t.Run("should not track any metric if no partition was requested", func(t *testing.T) {
		t.Parallel()

		var (
			_, clusterAddr = testkafka.CreateCluster(t, numPartitions, topicName)
			kafkaCfg       = createTestKafkaConfig(clusterAddr, topicName)
			client         = createTestKafkaClient(t, kafkaCfg)
			reg            = prometheus.NewPedanticRegistry()
			reader         = newPartitionOffsetClient(client, topicName, reg, logger)
		)

		// Write some records.
		produceRecord(ctx, t, client, topicName, 0, []byte("message 1"))
		produceRecord(ctx, t, client, topicName, 0, []byte("message 2"))
		produceRecord(ctx, t, client, topicName, 1, []byte("message 3"))

		offsets, err := reader.FetchPartitionsLastProducedOffsets(ctx, []int32{})
		require.NoError(t, err)
		assert.Empty(t, offsets)

		assert.NoError(t, promtest.GatherAndCompare(reg, strings.NewReader(""),
			"cortex_ingest_storage_reader_last_produced_offset_requests_total",
			"cortex_ingest_storage_reader_last_produced_offset_failures_total"))
	})

	t.Run("should honor context deadline and not fail other in-flight requests issued while the canceled one was still running", func(t *testing.T) {
		t.Parallel()

		var (
			cluster, clusterAddr = testkafka.CreateCluster(t, numPartitions, topicName)
			kafkaCfg             = createTestKafkaConfig(clusterAddr, topicName)
			client               = createTestKafkaClient(t, kafkaCfg)
			reg                  = prometheus.NewPedanticRegistry()
			reader               = newPartitionOffsetClient(client, topicName, reg, logger)

			firstRequest         = atomic.NewBool(true)
			firstRequestReceived = make(chan struct{})
			firstRequestTimeout  = time.Second
		)

		// Write some records.
		produceRecord(ctx, t, client, topicName, 0, []byte("message 1"))
		produceRecord(ctx, t, client, topicName, 1, []byte("message 2"))
		expectedOffsets := map[int32]int64{0: 0, 1: 0, 2: -1}

		// Slow down the 1st ListOffsets request.
		cluster.ControlKey(int16(kmsg.ListOffsets), func(kmsg.Request) (kmsg.Response, error, bool) {
			if firstRequest.CompareAndSwap(true, false) {
				close(firstRequestReceived)
				time.Sleep(2 * firstRequestTimeout)
			}
			return nil, nil, false
		})

		wg := sync.WaitGroup{}

		// Run the 1st FetchPartitionsLastProducedOffsets() with a timeout which is expected to expire
		// before the request will succeed.
		runAsync(&wg, func() {
			ctxWithTimeout, cancel := context.WithTimeout(ctx, firstRequestTimeout)
			defer cancel()

			_, err := reader.FetchPartitionsLastProducedOffsets(ctxWithTimeout, allPartitionIDs)
			require.ErrorIs(t, err, context.DeadlineExceeded)
		})

		// Run a 2nd FetchPartitionsLastProducedOffsets() once the 1st request is received. This request
		// is expected to succeed.
		runAsyncAfter(&wg, firstRequestReceived, func() {
			offsets, err := reader.FetchPartitionsLastProducedOffsets(ctx, allPartitionIDs)
			require.NoError(t, err)
			assert.Equal(t, expectedOffsets, offsets)
		})

		wg.Wait()
	})

	t.Run("should honor the configured retry timeout", func(t *testing.T) {
		t.Parallel()

		cluster, clusterAddr := testkafka.CreateCluster(t, numPartitions, topicName)

		// Configure a short retry timeout.
		kafkaCfg := createTestKafkaConfig(clusterAddr, topicName)
		kafkaCfg.LastProducedOffsetRetryTimeout = time.Second

		client := createTestKafkaClient(t, kafkaCfg)
		reg := prometheus.NewPedanticRegistry()
		reader := newPartitionOffsetClient(client, topicName, reg, logger)

		// Make the ListOffsets request failing.
		actualTries := atomic.NewInt64(0)
		cluster.ControlKey(int16(kmsg.ListOffsets), func(kmsg.Request) (kmsg.Response, error, bool) {
			cluster.KeepControl()
			actualTries.Inc()
			return nil, errors.New("mocked error"), true
		})

		startTime := time.Now()
		_, err := reader.FetchPartitionsLastProducedOffsets(ctx, allPartitionIDs)
		elapsedTime := time.Since(startTime)

		require.Error(t, err)

		// Ensure the retry timeout has been honored.
		toleranceSeconds := 0.5
		assert.InDelta(t, kafkaCfg.LastProducedOffsetRetryTimeout.Seconds(), elapsedTime.Seconds(), toleranceSeconds)

		// Ensure the request was retried.
		assert.Greater(t, actualTries.Load(), int64(1))
	})

	t.Run("should return error if response contains an unexpected number of topics", func(t *testing.T) {
		t.Parallel()

		cluster, clusterAddr := testkafka.CreateCluster(t, numPartitions, topicName)

		// Configure a short retry timeout.
		kafkaCfg := createTestKafkaConfig(clusterAddr, topicName)
		kafkaCfg.LastProducedOffsetRetryTimeout = time.Second

		client := createTestKafkaClient(t, kafkaCfg)
		reg := prometheus.NewPedanticRegistry()
		reader := newPartitionOffsetClient(client, topicName, reg, logger)

		cluster.ControlKey(int16(kmsg.ListOffsets), func(kreq kmsg.Request) (kmsg.Response, error, bool) {
			cluster.KeepControl()

			req := kreq.(*kmsg.ListOffsetsRequest)
			res := req.ResponseKind().(*kmsg.ListOffsetsResponse)
			res.Default()
			res.Topics = []kmsg.ListOffsetsResponseTopic{
				{Topic: topicName},
				{Topic: "another-unknown-topic"},
			}

			return res, nil, true
		})

		_, err := reader.FetchPartitionsLastProducedOffsets(ctx, allPartitionIDs)
		require.Error(t, err)
		require.ErrorContains(t, err, "unexpected number of topics in the response")
	})

	t.Run("should return error if response contains a 1 topic but it's not the expected one", func(t *testing.T) {
		t.Parallel()

		cluster, clusterAddr := testkafka.CreateCluster(t, numPartitions, topicName)

		// Configure a short retry timeout.
		kafkaCfg := createTestKafkaConfig(clusterAddr, topicName)
		kafkaCfg.LastProducedOffsetRetryTimeout = time.Second

		client := createTestKafkaClient(t, kafkaCfg)
		reg := prometheus.NewPedanticRegistry()
		reader := newPartitionOffsetClient(client, topicName, reg, logger)

		cluster.ControlKey(int16(kmsg.ListOffsets), func(kreq kmsg.Request) (kmsg.Response, error, bool) {
			cluster.KeepControl()

			req := kreq.(*kmsg.ListOffsetsRequest)
			res := req.ResponseKind().(*kmsg.ListOffsetsResponse)
			res.Default()
			res.Topics = []kmsg.ListOffsetsResponseTopic{
				{Topic: "another-unknown-topic"},
			}

			return res, nil, true
		})

		_, err := reader.FetchPartitionsLastProducedOffsets(ctx, allPartitionIDs)
		require.Error(t, err)
		require.ErrorContains(t, err, "unexpected topic in the response")
	})

	t.Run("should return error if response contains an error for a partition", func(t *testing.T) {
		t.Parallel()

		cluster, clusterAddr := testkafka.CreateCluster(t, numPartitions, topicName)

		// Configure a short retry timeout.
		kafkaCfg := createTestKafkaConfig(clusterAddr, topicName)
		kafkaCfg.LastProducedOffsetRetryTimeout = time.Second

		client := createTestKafkaClient(t, kafkaCfg)
		reg := prometheus.NewPedanticRegistry()
		reader := newPartitionOffsetClient(client, topicName, reg, logger)

		cluster.ControlKey(int16(kmsg.ListOffsets), func(kreq kmsg.Request) (kmsg.Response, error, bool) {
			cluster.KeepControl()

			req := kreq.(*kmsg.ListOffsetsRequest)
			res := req.ResponseKind().(*kmsg.ListOffsetsResponse)
			res.Default()
			res.Topics = []kmsg.ListOffsetsResponseTopic{
				{
					Topic: topicName,
					Partitions: []kmsg.ListOffsetsResponseTopicPartition{
						{
							Partition: 0,
							Offset:    1,
						}, {
							Partition: 0,
							ErrorCode: kerr.NotLeaderForPartition.Code,
						},
					},
				},
			}

			return res, nil, true
		})

		_, err := reader.FetchPartitionsLastProducedOffsets(ctx, allPartitionIDs)
		require.ErrorIs(t, err, kerr.NotLeaderForPartition)
	})
}

func TestPartitionOffsetClient_ListTopicPartitionIDs(t *testing.T) {
	const (
		numPartitions = 3
		topicName     = "test"
	)

	var (
		ctx    = context.Background()
		logger = log.NewNopLogger()
	)

	t.Run("should return a list of partition IDs", func(t *testing.T) {
		t.Parallel()

		var (
			_, clusterAddr = testkafka.CreateCluster(t, numPartitions, topicName)
			kafkaCfg       = createTestKafkaConfig(clusterAddr, topicName)
			client         = createTestKafkaClient(t, kafkaCfg)
			reader         = newPartitionOffsetClient(client, topicName, nil, logger)
		)

		actualIDs, actualErr := reader.ListTopicPartitionIDs(ctx)
		require.NoError(t, actualErr)
		assert.Equal(t, []int32{0, 1, 2}, actualIDs)
	})

	t.Run("should return an error if Kafka request succeeds but the response contains an error for the topic", func(t *testing.T) {
		t.Parallel()

		const numPartitions = 3

		var (
			cluster, clusterAddr = testkafka.CreateCluster(t, numPartitions, topicName)
			kafkaCfg             = createTestKafkaConfig(clusterAddr, topicName)
			client               = createTestKafkaClient(t, kafkaCfg)
			reader               = newPartitionOffsetClient(client, topicName, nil, logger)
		)

		cluster.ControlKey(int16(kmsg.Metadata), func(kreq kmsg.Request) (kmsg.Response, error, bool) {
			cluster.KeepControl()

			req := kreq.(*kmsg.MetadataRequest)
			res := req.ResponseKind().(*kmsg.MetadataResponse)
			res.Default()
			res.Topics = []kmsg.MetadataResponseTopic{
				{
					ErrorCode: kerr.UnknownServerError.Code,
					Topic:     pointerOf[string](topicName),
				},
			}

			return res, nil, true
		})

		_, actualErr := reader.ListTopicPartitionIDs(ctx)
		require.ErrorIs(t, actualErr, kerr.UnknownServerError)
	})
}

func pointerOf[T any](v T) *T {
	return &v
}
