// SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0

use std::sync::Arc;
use std::time::{Duration, Instant};

use rstest::rstest;
use rstest_reuse::{self, *};
use tokio::time;
use tokio_util::sync::CancellationToken;

use super::concurrent_radix_tree::ConcurrentRadixTree;
use super::positional::PositionalIndexer;
use super::*;
use crate::protocols::*;

// ============================================================================
// Helper functions
// ============================================================================

/// Create a store event with proper sequence hashes computed from local hashes.
fn make_store_event(worker_id: u64, local_hashes: &[u64]) -> RouterEvent {
    make_store_event_with_dp_rank(worker_id, local_hashes, 0)
}

/// Create a store event with a specific dp_rank.
fn make_store_event_with_dp_rank(
    worker_id: u64,
    local_hashes: &[u64],
    dp_rank: u32,
) -> RouterEvent {
    make_store_event_full(worker_id, local_hashes, dp_rank, None)
}

/// Create a store event with parent hash for continuation sequences.
/// `prefix_hashes` are the hashes of the prefix (to compute parent_hash).
/// `local_hashes` are the new blocks being stored.
fn make_store_event_with_parent(
    worker_id: u64,
    prefix_hashes: &[u64],
    local_hashes: &[u64],
) -> RouterEvent {
    // Compute the parent hash from the prefix
    let prefix_block_hashes: Vec<LocalBlockHash> =
        prefix_hashes.iter().map(|&h| LocalBlockHash(h)).collect();
    let prefix_seq_hashes = compute_seq_hash_for_block(&prefix_block_hashes);
    let parent_hash = prefix_seq_hashes
        .last()
        .map(|&h| ExternalSequenceBlockHash(h));

    // Compute the full sequence including prefix for proper seq_hash calculation
    let full_hashes: Vec<u64> = prefix_hashes
        .iter()
        .chain(local_hashes.iter())
        .copied()
        .collect();
    let full_block_hashes: Vec<LocalBlockHash> =
        full_hashes.iter().map(|&h| LocalBlockHash(h)).collect();
    let full_seq_hashes = compute_seq_hash_for_block(&full_block_hashes);

    // Only include the new blocks (skip prefix)
    let new_block_hashes: Vec<LocalBlockHash> =
        local_hashes.iter().map(|&h| LocalBlockHash(h)).collect();
    let new_seq_hashes = &full_seq_hashes[prefix_hashes.len()..];

    RouterEvent {
        worker_id,
        event: KvCacheEvent {
            event_id: 0,
            data: KvCacheEventData::Stored(KvCacheStoreData {
                parent_hash,
                blocks: new_block_hashes
                    .iter()
                    .zip(new_seq_hashes.iter())
                    .map(|(&local, &seq)| KvCacheStoredBlockData {
                        tokens_hash: local,
                        block_hash: ExternalSequenceBlockHash(seq),
                        mm_extra_info: None,
                    })
                    .collect(),
            }),
            dp_rank: 0,
        },
    }
}

/// Create a store event with all options.
fn make_store_event_full(
    worker_id: u64,
    local_hashes: &[u64],
    dp_rank: u32,
    parent_hash: Option<ExternalSequenceBlockHash>,
) -> RouterEvent {
    let local_block_hashes: Vec<LocalBlockHash> =
        local_hashes.iter().map(|&h| LocalBlockHash(h)).collect();
    let seq_hashes = compute_seq_hash_for_block(&local_block_hashes);

    RouterEvent {
        worker_id,
        event: KvCacheEvent {
            event_id: 0,
            data: KvCacheEventData::Stored(KvCacheStoreData {
                parent_hash,
                blocks: local_block_hashes
                    .iter()
                    .zip(seq_hashes.iter())
                    .map(|(&local, &seq)| KvCacheStoredBlockData {
                        tokens_hash: local,
                        block_hash: ExternalSequenceBlockHash(seq),
                        mm_extra_info: None,
                    })
                    .collect(),
            }),
            dp_rank,
        },
    }
}

/// Create a remove event for blocks with given local hashes.
fn make_remove_event(worker_id: u64, local_hashes: &[u64]) -> RouterEvent {
    make_remove_event_with_dp_rank(worker_id, local_hashes, 0)
}

/// Create a remove event with a specific dp_rank.
fn make_remove_event_with_dp_rank(
    worker_id: u64,
    local_hashes: &[u64],
    dp_rank: u32,
) -> RouterEvent {
    let local_block_hashes: Vec<LocalBlockHash> =
        local_hashes.iter().map(|&h| LocalBlockHash(h)).collect();
    let seq_hashes = compute_seq_hash_for_block(&local_block_hashes);

    RouterEvent {
        worker_id,
        event: KvCacheEvent {
            event_id: 0,
            data: KvCacheEventData::Removed(KvCacheRemoveData {
                block_hashes: seq_hashes
                    .iter()
                    .map(|&h| ExternalSequenceBlockHash(h))
                    .collect(),
            }),
            dp_rank,
        },
    }
}

/// Create a remove event with parent hash for continuation sequences.
/// `prefix_hashes` are the hashes of the prefix (to compute parent_hash and full seq context).
/// `local_hashes` are the blocks being removed.
fn make_remove_event_with_parent(
    worker_id: u64,
    prefix_hashes: &[u64],
    local_hashes: &[u64],
) -> RouterEvent {
    let full_hashes: Vec<u64> = prefix_hashes
        .iter()
        .chain(local_hashes.iter())
        .copied()
        .collect();
    let full_block_hashes: Vec<LocalBlockHash> =
        full_hashes.iter().map(|&h| LocalBlockHash(h)).collect();
    let full_seq_hashes = compute_seq_hash_for_block(&full_block_hashes);

    let suffix_seq_hashes = &full_seq_hashes[prefix_hashes.len()..];

    RouterEvent {
        worker_id,
        event: KvCacheEvent {
            event_id: 0,
            data: KvCacheEventData::Removed(KvCacheRemoveData {
                block_hashes: suffix_seq_hashes
                    .iter()
                    .map(|&h| ExternalSequenceBlockHash(h))
                    .collect(),
            }),
            dp_rank: 0,
        },
    }
}

/// Snapshot the tree state for deterministic comparison.
/// Dumps all events, zeros out `event_id`, and sorts by `(worker_id, dp_rank, block_hash)`.
async fn snapshot_tree(index: &dyn KvIndexerInterface) -> Vec<RouterEvent> {
    let mut events = index.dump_events().await.unwrap();
    for ev in &mut events {
        ev.event.event_id = 0;
    }
    events.sort_by(|a, b| {
        a.worker_id.cmp(&b.worker_id).then_with(|| {
            a.event.dp_rank.cmp(&b.event.dp_rank).then_with(|| {
                let hash_a = match &a.event.data {
                    KvCacheEventData::Stored(s) => {
                        s.blocks.first().map(|b| b.block_hash.0).unwrap_or(0)
                    }
                    KvCacheEventData::Removed(r) => {
                        r.block_hashes.first().map(|h| h.0).unwrap_or(0)
                    }
                    KvCacheEventData::Cleared => 0,
                };
                let hash_b = match &b.event.data {
                    KvCacheEventData::Stored(s) => {
                        s.blocks.first().map(|b| b.block_hash.0).unwrap_or(0)
                    }
                    KvCacheEventData::Removed(r) => {
                        r.block_hashes.first().map(|h| h.0).unwrap_or(0)
                    }
                    KvCacheEventData::Cleared => 0,
                };
                hash_a.cmp(&hash_b)
            })
        })
    });
    events
}

/// Create a clear event for a worker.
fn make_clear_event(worker_id: u64) -> RouterEvent {
    make_clear_event_with_dp_rank(worker_id, 0)
}

/// Create a clear event with a specific dp_rank.
fn make_clear_event_with_dp_rank(worker_id: u64, dp_rank: u32) -> RouterEvent {
    RouterEvent {
        worker_id,
        event: KvCacheEvent {
            event_id: 0,
            data: KvCacheEventData::Cleared,
            dp_rank,
        },
    }
}

// ============================================================================
// KvIndexerInterface tests - parametrized over all implementations
// ============================================================================

#[template]
#[rstest]
fn indexer_template(#[values("single", "sharded", "flat", "concurrent")] variant: &str) {}

fn make_indexer(variant: &str) -> Box<dyn KvIndexerInterface> {
    let token = CancellationToken::new();
    let metrics = Arc::new(KvIndexerMetrics::new_unregistered());
    let kv_block_size = 32;

    match variant {
        "single" => Box::new(KvIndexer::new(token, kv_block_size, metrics)),
        "sharded" => Box::new(KvIndexerSharded::new(token, 4, kv_block_size, metrics)),
        "flat" => Box::new(ThreadPoolIndexer::new(
            PositionalIndexer::new(32),
            4,
            kv_block_size,
        )),
        "concurrent" => Box::new(ThreadPoolIndexer::new(
            ConcurrentRadixTree::new(),
            4,
            kv_block_size,
        )),
        _ => panic!("Unknown variant: {}", variant),
    }
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_store_and_find(variant: &str) {
    let index = make_indexer(variant);

    // Store a sequence for worker 0
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Find matches using local hashes
    let scores = index
        .find_matches(vec![
            LocalBlockHash(1),
            LocalBlockHash(2),
            LocalBlockHash(3),
        ])
        .await
        .unwrap();
    assert_eq!(scores.scores.len(), 1);
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 3);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_partial_match(variant: &str) {
    let index = make_indexer(variant);

    // Store [1, 2, 3] for worker 0
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Find matches for [1, 2, 999] - should match first 2 then stop
    let scores = index
        .find_matches(vec![
            LocalBlockHash(1),
            LocalBlockHash(2),
            LocalBlockHash(999),
        ])
        .await
        .unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 2);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_remove(variant: &str) {
    let index = make_indexer(variant);

    // Store sequence for worker 0
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    // Remove all blocks
    index.apply_event(make_remove_event(0, &[1, 2, 3])).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Find should return nothing
    let scores = index
        .find_matches(vec![
            LocalBlockHash(1),
            LocalBlockHash(2),
            LocalBlockHash(3),
        ])
        .await
        .unwrap();
    assert!(scores.scores.is_empty());
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_multiple_workers_shared_prefix(variant: &str) {
    let index = make_indexer(variant);

    // Worker 0 has [1, 2], Worker 1 has [1, 3]
    // Since sequence hashes are cumulative, [1] has same hash for both,
    // but [1, 2] and [1, 3] have different hashes.
    index.apply_event(make_store_event(0, &[1, 2])).await;
    index.apply_event(make_store_event(1, &[1, 3])).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query [1] - both workers should match
    let scores = index.find_matches(vec![LocalBlockHash(1)]).await.unwrap();
    assert_eq!(scores.scores.len(), 2);
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 1);
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(1, 0)).unwrap(), 1);

    // Query [1, 2] - worker 0 matches both, worker 1 matches only first block
    let scores = index
        .find_matches(vec![LocalBlockHash(1), LocalBlockHash(2)])
        .await
        .unwrap();
    assert_eq!(scores.scores.len(), 2);
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 2);
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(1, 0)).unwrap(), 1);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_remove_worker(variant: &str) {
    let index = make_indexer(variant);

    index.apply_event(make_store_event(0, &[1, 2, 3])).await;
    index.apply_event(make_store_event(1, &[1, 2, 3])).await;

    // Allow time for async event processing
    tokio::time::sleep(Duration::from_millis(100)).await;

    index.remove_worker(0).await;

    // Allow time for async remove_worker processing
    tokio::time::sleep(Duration::from_millis(100)).await;

    let scores = index
        .find_matches(vec![
            LocalBlockHash(1),
            LocalBlockHash(2),
            LocalBlockHash(3),
        ])
        .await
        .unwrap();
    assert_eq!(scores.scores.len(), 1);
    assert!(scores.scores.contains_key(&WorkerWithDpRank::new(1, 0)));
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_large_stores(variant: &str) {
    let index = make_indexer(variant);

    // Test sequences of increasing sizes
    for i in 0..10u64 {
        let len = 1 << i; // 1, 2, 4, 8, ..., 512
        let worker_id = i;
        let sequence: Vec<u64> = (1..=len).map(|x| x + (i * 10000)).collect();
        index
            .apply_event(make_store_event(worker_id, &sequence))
            .await;
    }

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify we can find matches for the last stored sequence
    let last_seq: Vec<LocalBlockHash> = (1..=512u64)
        .map(|x| LocalBlockHash(x + (9 * 10000)))
        .collect();
    let scores = index.find_matches(last_seq).await.unwrap();
    assert!(!scores.scores.is_empty());
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_dump_and_restore(variant: &str) {
    let index = make_indexer(variant);

    // Store some data
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;
    index.apply_event(make_store_event(1, &[1, 2, 4])).await;

    // Allow background worker threads to process events.
    tokio::time::sleep(Duration::from_millis(100)).await;

    // Dump the tree as events and replay into a new index
    let events = index.dump_events().await.unwrap();
    assert!(!events.is_empty());

    let restored = make_indexer(variant);
    for event in events {
        restored.apply_event(event).await;
    }

    tokio::time::sleep(Duration::from_millis(100)).await;

    assert_eq!(
        snapshot_tree(index.as_ref()).await,
        snapshot_tree(restored.as_ref()).await
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_clear_all_blocks(variant: &str) {
    let index = make_indexer(variant);

    // Store some data for two workers
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;
    index.apply_event(make_store_event(1, &[1, 2, 3])).await;

    // Clear worker 0's blocks using the Cleared event
    index.apply_event(make_clear_event(0)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Worker 0's blocks should be gone, worker 1's remain
    let scores = index
        .find_matches(vec![
            LocalBlockHash(1),
            LocalBlockHash(2),
            LocalBlockHash(3),
        ])
        .await
        .unwrap();
    assert_eq!(scores.scores.len(), 1);
    assert!(scores.scores.contains_key(&WorkerWithDpRank::new(1, 0)));
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_empty_query(variant: &str) {
    let index = make_indexer(variant);

    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Empty query should return empty scores
    let scores = index.find_matches(vec![]).await.unwrap();
    assert!(scores.scores.is_empty());
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_miss_query(variant: &str) {
    let index = make_indexer(variant);

    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query for non-existent blocks
    let scores = index
        .find_matches(vec![LocalBlockHash(999), LocalBlockHash(998)])
        .await
        .unwrap();
    assert!(scores.scores.is_empty());
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_shutdown(variant: &str) {
    let index = make_indexer(variant);
    index.shutdown();
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_shutdown_idempotent(variant: &str) {
    let index = make_indexer(variant);
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;
    tokio::time::sleep(Duration::from_millis(100)).await;
    index.shutdown();
    index.shutdown();
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_find_matches_for_request(variant: &str) {
    let index = make_indexer(variant);

    // Empty index should return no matches
    let tokens = vec![1, 2, 3, 4];
    let scores = index.find_matches_for_request(&tokens, None).await.unwrap();
    assert!(scores.scores.is_empty());

    // Store some data and verify we can find it via tokens
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    // Allow time for async processing
    tokio::time::sleep(Duration::from_millis(100)).await;

    // Note: find_matches_for_request computes block hashes from tokens,
    // so we need tokens that hash to the same LocalBlockHash values.
    // For this test, we just verify the method works without error.
    let scores = index.find_matches_for_request(&tokens, None).await.unwrap();
    // The tokens [1,2,3,4] won't match our stored [1,2,3] local hashes
    // because find_matches_for_request computes different hashes from raw tokens
    assert!(scores.scores.is_empty() || !scores.scores.is_empty());
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_process_routing_decision(variant: &str) {
    let index = make_indexer(variant);

    // Create tokens with hashes
    let tokens = vec![1u32, 2, 3, 4, 5, 6, 7, 8];
    let mut tokens_with_hashes = TokensWithHashes::new(tokens, 32);

    let worker = WorkerWithDpRank::new(0, 0);

    // Process routing decision - should not error
    let result = index
        .process_routing_decision_for_request(&mut tokens_with_hashes, worker)
        .await;
    assert!(result.is_ok());
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_parent_hash_chains(variant: &str) {
    let index = make_indexer(variant);

    // Store initial sequence [1, 2, 3]
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    // Store continuation [4, 5] with parent pointing to block 3
    index
        .apply_event(make_store_event_with_parent(0, &[1, 2, 3], &[4, 5]))
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query for full sequence [1, 2, 3, 4, 5] should match all 5 blocks
    let full_seq: Vec<LocalBlockHash> = (1..=5).map(LocalBlockHash).collect();
    let scores = index.find_matches(full_seq).await.unwrap();
    assert_eq!(scores.scores.len(), 1);
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 5);

    // Query for just [1, 2, 3] should match 3 blocks
    let prefix_seq: Vec<LocalBlockHash> = (1..=3).map(LocalBlockHash).collect();
    let scores = index.find_matches(prefix_seq).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 3);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_multiple_dp_ranks(variant: &str) {
    let index = make_indexer(variant);

    // Same worker_id but different dp_ranks should be tracked separately
    index
        .apply_event(make_store_event_with_dp_rank(0, &[1, 2, 3], 0))
        .await;
    index
        .apply_event(make_store_event_with_dp_rank(0, &[1, 2, 3], 1))
        .await;
    index
        .apply_event(make_store_event_with_dp_rank(0, &[1, 2, 3], 2))
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query should return all 3 dp_ranks as separate entries
    let seq: Vec<LocalBlockHash> = (1..=3).map(LocalBlockHash).collect();
    let scores = index.find_matches(seq).await.unwrap();

    assert_eq!(scores.scores.len(), 3);
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 3);
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 1)).unwrap(), 3);
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 2)).unwrap(), 3);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_partial_block_removal(variant: &str) {
    let index = make_indexer(variant);

    // Store [1, 2, 3]
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify all 3 blocks match
    let seq: Vec<LocalBlockHash> = (1..=3).map(LocalBlockHash).collect();
    let scores = index.find_matches(seq.clone()).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 3);

    // Remove only the last block (block 3)
    // To do this correctly, we need to compute the seq_hash for block 3 specifically,
    // which requires the full sequence context [1,2,3].
    let full_hashes: Vec<LocalBlockHash> = (1..=3).map(LocalBlockHash).collect();
    let seq_hashes = compute_seq_hash_for_block(&full_hashes);
    let block_3_seq_hash = ExternalSequenceBlockHash(seq_hashes[2]); // Last block's hash

    let remove_event = RouterEvent {
        worker_id: 0,
        event: KvCacheEvent {
            event_id: 0,
            data: KvCacheEventData::Removed(KvCacheRemoveData {
                block_hashes: vec![block_3_seq_hash],
            }),
            dp_rank: 0,
        },
    };
    index.apply_event(remove_event).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query [1, 2, 3] - should only match 2 blocks now (block 3 is removed)
    let scores = index.find_matches(seq).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 2);

    // Query [1, 2] - should still match 2 blocks
    let partial_seq: Vec<LocalBlockHash> = (1..=2).map(LocalBlockHash).collect();
    let scores = index.find_matches(partial_seq).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 2);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_remove_mid_chain_block(variant: &str) {
    // TODO: positional indexer has no parent-child structure, so mid-chain removal
    // doesn't invalidate later positions — jump search skips over the gap and over-counts.
    if variant == "flat" {
        return;
    }

    let index = make_indexer(variant);

    // Store [1, 2, 3, 4, 5]
    index
        .apply_event(make_store_event(0, &[1, 2, 3, 4, 5]))
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify all 5 blocks match
    let seq: Vec<LocalBlockHash> = (1..=5).map(LocalBlockHash).collect();
    let scores = index.find_matches(seq.clone()).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 5);

    // Remove only block 3 (index 2) — the middle of the chain
    let full_hashes: Vec<LocalBlockHash> = (1..=5).map(LocalBlockHash).collect();
    let seq_hashes = compute_seq_hash_for_block(&full_hashes);
    let block_3_seq_hash = ExternalSequenceBlockHash(seq_hashes[2]);

    let remove_event = RouterEvent {
        worker_id: 0,
        event: KvCacheEvent {
            event_id: 0,
            data: KvCacheEventData::Removed(KvCacheRemoveData {
                block_hashes: vec![block_3_seq_hash],
            }),
            dp_rank: 0,
        },
    };
    index.apply_event(remove_event).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query [1, 2, 3, 4, 5] — only first 2 positions reachable (block 3 removed, orphaning 4 & 5)
    let scores = index.find_matches(seq.clone()).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 2);

    // Query [1, 2] — prefix before the gap is still intact
    let prefix_seq: Vec<LocalBlockHash> = (1..=2).map(LocalBlockHash).collect();
    let scores = index.find_matches(prefix_seq).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 2);

    // Re-store block 3 as a continuation of [1, 2]
    index
        .apply_event(make_store_event_with_parent(0, &[1, 2], &[3]))
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query [1, 2, 3, 4, 5] — block 3 is back but 4 & 5 were orphaned, so score = 3
    let scores = index.find_matches(seq).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 3);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_remove_nonexistent_worker(variant: &str) {
    let index = make_indexer(variant);

    // Store data for worker 0
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Remove non-existent worker 999 - should not error or affect worker 0
    index.remove_worker(999).await;

    // Allow time for async processing
    tokio::time::sleep(Duration::from_millis(100)).await;

    // Worker 0's data should still be there
    let seq: Vec<LocalBlockHash> = (1..=3).map(LocalBlockHash).collect();
    let scores = index.find_matches(seq).await.unwrap();
    assert_eq!(scores.scores.len(), 1);
    assert!(scores.scores.contains_key(&WorkerWithDpRank::new(0, 0)));
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_remove_nonexistent_blocks(variant: &str) {
    let index = make_indexer(variant);

    // Store [1, 2, 3]
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    // Try to remove blocks [999, 998] that don't exist - should not error
    index.apply_event(make_remove_event(0, &[999, 998])).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Original data should still be there
    let seq: Vec<LocalBlockHash> = (1..=3).map(LocalBlockHash).collect();
    let scores = index.find_matches(seq).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 3);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_clear_then_reuse(variant: &str) {
    let index = make_indexer(variant);

    // Store initial data
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    // Clear the worker
    index.apply_event(make_clear_event(0)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify data is gone
    let seq: Vec<LocalBlockHash> = (1..=3).map(LocalBlockHash).collect();
    let scores = index.find_matches(seq.clone()).await.unwrap();
    assert!(scores.scores.is_empty());

    // Store new data for the same worker
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify new data is accessible
    let scores = index.find_matches(seq).await.unwrap();
    assert_eq!(scores.scores.len(), 1);
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 3);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_multiple_sequences_per_worker(variant: &str) {
    let index = make_indexer(variant);

    // Store two disjoint sequences for the same worker
    // Sequence 1: [1, 2, 3]
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;
    // Sequence 2: [100, 101, 102] (completely different, no parent)
    index
        .apply_event(make_store_event(0, &[100, 101, 102]))
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query first sequence
    let seq1: Vec<LocalBlockHash> = (1..=3).map(LocalBlockHash).collect();
    let scores = index.find_matches(seq1).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 3);

    // Query second sequence
    let seq2: Vec<LocalBlockHash> = (100..=102).map(LocalBlockHash).collect();
    let scores = index.find_matches(seq2).await.unwrap();
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 3);

    // Query a mix that doesn't exist as a sequence - should only match first block
    let mixed: Vec<LocalBlockHash> = vec![LocalBlockHash(1), LocalBlockHash(100)];
    let scores = index.find_matches(mixed).await.unwrap();
    // Only block 1 matches because [1, 100] is not a valid prefix
    assert_eq!(*scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(), 1);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_clear_clears_all_dp_ranks(variant: &str) {
    let index = make_indexer(variant);

    // Store same sequence for different dp_ranks
    index
        .apply_event(make_store_event_with_dp_rank(0, &[1, 2, 3], 0))
        .await;
    index
        .apply_event(make_store_event_with_dp_rank(0, &[1, 2, 3], 1))
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify both dp_ranks are present
    let seq: Vec<LocalBlockHash> = (1..=3).map(LocalBlockHash).collect();
    let scores = index.find_matches(seq.clone()).await.unwrap();
    assert_eq!(scores.scores.len(), 2);

    // Clear event clears ALL blocks for the worker_id, regardless of dp_rank
    index.apply_event(make_clear_event_with_dp_rank(0, 0)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Both dp_ranks should be cleared
    let scores = index.find_matches(seq).await.unwrap();
    assert!(
        scores.scores.is_empty(),
        "Cleared event should clear all dp_ranks for a worker"
    );
}

// ============================================================================
// LoRA isolation tests
// ============================================================================

#[tokio::test]
#[apply(indexer_template)]
async fn test_lora_and_base_model_blocks_do_not_conflict(variant: &str) {
    let index = make_indexer(variant);
    let kv_block_size: u32 = 32;

    // Same token sequence for both base model and LoRA adapter
    let tokens: Vec<u32> = (0..kv_block_size * 3).collect();

    let base_hashes = compute_block_hash_for_seq(&tokens, kv_block_size, None, None);
    let lora_hashes = compute_block_hash_for_seq(&tokens, kv_block_size, None, Some("my-adapter"));

    // Hashes must differ despite identical tokens
    assert_ne!(
        base_hashes, lora_hashes,
        "Base and LoRA hashes must differ for the same tokens"
    );

    let base_seq = compute_seq_hash_for_block(&base_hashes);
    let lora_seq = compute_seq_hash_for_block(&lora_hashes);

    // Store base-model blocks on worker 0
    let base_event = RouterEvent {
        worker_id: 0,
        event: KvCacheEvent {
            event_id: 0,
            data: KvCacheEventData::Stored(KvCacheStoreData {
                parent_hash: None,
                blocks: base_hashes
                    .iter()
                    .zip(base_seq.iter())
                    .map(|(&local, &seq)| KvCacheStoredBlockData {
                        tokens_hash: local,
                        block_hash: ExternalSequenceBlockHash(seq),
                        mm_extra_info: None,
                    })
                    .collect(),
            }),
            dp_rank: 0,
        },
    };
    index.apply_event(base_event).await;

    // Store LoRA blocks on worker 1
    let lora_event = RouterEvent {
        worker_id: 1,
        event: KvCacheEvent {
            event_id: 0,
            data: KvCacheEventData::Stored(KvCacheStoreData {
                parent_hash: None,
                blocks: lora_hashes
                    .iter()
                    .zip(lora_seq.iter())
                    .map(|(&local, &seq)| KvCacheStoredBlockData {
                        tokens_hash: local,
                        block_hash: ExternalSequenceBlockHash(seq),
                        mm_extra_info: None,
                    })
                    .collect(),
            }),
            dp_rank: 0,
        },
    };
    index.apply_event(lora_event).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query with base-model hashes → only worker 0
    let base_scores = index.find_matches(base_hashes.clone()).await.unwrap();
    assert_eq!(
        base_scores.scores.len(),
        1,
        "Only base-model worker should match"
    );
    assert_eq!(
        *base_scores
            .scores
            .get(&WorkerWithDpRank::new(0, 0))
            .unwrap(),
        3
    );

    // Query with LoRA hashes → only worker 1
    let lora_scores = index.find_matches(lora_hashes.clone()).await.unwrap();
    assert_eq!(lora_scores.scores.len(), 1, "Only LoRA worker should match");
    assert_eq!(
        *lora_scores
            .scores
            .get(&WorkerWithDpRank::new(1, 0))
            .unwrap(),
        3
    );
}

/// Reproduces the "block_hash mismatch: sequence hashes should be uniform
/// across workers" warning seen when the same prompt is sent to both a base
/// model worker and a LoRA worker.
///
/// On main (without LoRA-aware hashing), both workers compute the same
/// LocalBlockHash for identical tokens.  But vLLM's engine includes the
/// adapter in its rolling ExternalSequenceBlockHash, so the radix tree
/// sees conflicting sequence hashes at the same tree node.
///
/// With LoRA-aware hashing, compute_block_hash_for_seq produces distinct
/// LocalBlockHash values for different adapters, so the blocks land on
/// separate tree paths and no mismatch occurs.
#[tokio::test]
#[apply(indexer_template)]
async fn test_lora_base_same_tokens_no_seq_hash_mismatch(variant: &str) {
    let index = make_indexer(variant);
    let kv_block_size: u32 = 32;

    let tokens: Vec<u32> = (0..kv_block_size * 3).collect();

    // With LoRA-aware hashing, base and adapter produce different LocalBlockHash
    let base_local = compute_block_hash_for_seq(&tokens, kv_block_size, None, None);
    let lora_local = compute_block_hash_for_seq(&tokens, kv_block_size, None, Some("my-adapter"));

    assert_ne!(
        base_local, lora_local,
        "LoRA-aware hashing must produce different LocalBlockHash values"
    );

    // Simulate what vLLM does: same tokens, different rolling seq hashes
    // because the engine accounts for the adapter internally.
    let base_seq = compute_seq_hash_for_block(&base_local);
    let lora_seq = compute_seq_hash_for_block(&lora_local);

    // Worker 0: base model
    index
        .apply_event(RouterEvent {
            worker_id: 0,
            event: KvCacheEvent {
                event_id: 0,
                data: KvCacheEventData::Stored(KvCacheStoreData {
                    parent_hash: None,
                    blocks: base_local
                        .iter()
                        .zip(base_seq.iter())
                        .map(|(&local, &seq)| KvCacheStoredBlockData {
                            tokens_hash: local,
                            block_hash: ExternalSequenceBlockHash(seq),
                            mm_extra_info: None,
                        })
                        .collect(),
                }),
                dp_rank: 0,
            },
        })
        .await;

    // Worker 1: LoRA adapter — different LocalBlockHash, so this goes to
    // a separate tree path instead of colliding with worker 0's node.
    index
        .apply_event(RouterEvent {
            worker_id: 1,
            event: KvCacheEvent {
                event_id: 0,
                data: KvCacheEventData::Stored(KvCacheStoreData {
                    parent_hash: None,
                    blocks: lora_local
                        .iter()
                        .zip(lora_seq.iter())
                        .map(|(&local, &seq)| KvCacheStoredBlockData {
                            tokens_hash: local,
                            block_hash: ExternalSequenceBlockHash(seq),
                            mm_extra_info: None,
                        })
                        .collect(),
                }),
                dp_rank: 0,
            },
        })
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Base query finds only worker 0
    let base_scores = index.find_matches(base_local.clone()).await.unwrap();
    assert_eq!(base_scores.scores.len(), 1);
    assert_eq!(
        *base_scores
            .scores
            .get(&WorkerWithDpRank::new(0, 0))
            .unwrap(),
        3
    );

    // LoRA query finds only worker 1
    let lora_scores = index.find_matches(lora_local.clone()).await.unwrap();
    assert_eq!(lora_scores.scores.len(), 1);
    assert_eq!(
        *lora_scores
            .scores
            .get(&WorkerWithDpRank::new(1, 0))
            .unwrap(),
        3
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_different_lora_adapters_do_not_conflict(variant: &str) {
    let index = make_indexer(variant);
    let kv_block_size: u32 = 32;

    let tokens: Vec<u32> = (0..kv_block_size * 2).collect();

    let hashes_a = compute_block_hash_for_seq(&tokens, kv_block_size, None, Some("adapter-a"));
    let hashes_b = compute_block_hash_for_seq(&tokens, kv_block_size, None, Some("adapter-b"));

    assert_ne!(
        hashes_a, hashes_b,
        "Different adapters must produce different hashes"
    );

    let seq_a = compute_seq_hash_for_block(&hashes_a);
    let seq_b = compute_seq_hash_for_block(&hashes_b);

    // Store adapter-a blocks on worker 0
    index
        .apply_event(RouterEvent {
            worker_id: 0,
            event: KvCacheEvent {
                event_id: 0,
                data: KvCacheEventData::Stored(KvCacheStoreData {
                    parent_hash: None,
                    blocks: hashes_a
                        .iter()
                        .zip(seq_a.iter())
                        .map(|(&local, &seq)| KvCacheStoredBlockData {
                            tokens_hash: local,
                            block_hash: ExternalSequenceBlockHash(seq),
                            mm_extra_info: None,
                        })
                        .collect(),
                }),
                dp_rank: 0,
            },
        })
        .await;

    // Store adapter-b blocks on worker 1
    index
        .apply_event(RouterEvent {
            worker_id: 1,
            event: KvCacheEvent {
                event_id: 0,
                data: KvCacheEventData::Stored(KvCacheStoreData {
                    parent_hash: None,
                    blocks: hashes_b
                        .iter()
                        .zip(seq_b.iter())
                        .map(|(&local, &seq)| KvCacheStoredBlockData {
                            tokens_hash: local,
                            block_hash: ExternalSequenceBlockHash(seq),
                            mm_extra_info: None,
                        })
                        .collect(),
                }),
                dp_rank: 0,
            },
        })
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query adapter-a → only worker 0
    let scores_a = index.find_matches(hashes_a.clone()).await.unwrap();
    assert_eq!(scores_a.scores.len(), 1);
    assert!(scores_a.scores.contains_key(&WorkerWithDpRank::new(0, 0)));
    assert!(!scores_a.scores.contains_key(&WorkerWithDpRank::new(1, 0)));

    // Query adapter-b → only worker 1
    let scores_b = index.find_matches(hashes_b.clone()).await.unwrap();
    assert_eq!(scores_b.scores.len(), 1);
    assert!(scores_b.scores.contains_key(&WorkerWithDpRank::new(1, 0)));
    assert!(!scores_b.scores.contains_key(&WorkerWithDpRank::new(0, 0)));
}

// ============================================================================
// Long sequence tests - especially important for NestedMap/PositionalIndexer
// ============================================================================

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_single_store(variant: &str) {
    let index = make_indexer(variant);

    // Store a long sequence (128 blocks) in a single event
    let seq_len = 128;
    let sequence: Vec<u64> = (1..=seq_len).collect();
    index.apply_event(make_store_event(0, &sequence)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query full sequence - should match all blocks
    let full_query: Vec<LocalBlockHash> = sequence.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(full_query).await.unwrap();
    assert_eq!(scores.scores.len(), 1);
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        seq_len as u32
    );

    // Query prefix (first 64 blocks)
    let prefix_query: Vec<LocalBlockHash> = (1..=64).map(LocalBlockHash).collect();
    let scores = index.find_matches(prefix_query).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        64
    );

    // Query with divergence at position 50
    let mut divergent_query: Vec<LocalBlockHash> = (1..=100).map(LocalBlockHash).collect();
    divergent_query[49] = LocalBlockHash(99999); // Position 49 (0-indexed) diverges
    let scores = index.find_matches(divergent_query).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        49
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_multiple_continuations(variant: &str) {
    let index = make_indexer(variant);

    // Build a long sequence through multiple continuations
    // First store: blocks 1-50
    let first_chunk: Vec<u64> = (1..=50).collect();
    index.apply_event(make_store_event(0, &first_chunk)).await;

    // Second store: blocks 51-100 (continuation of first)
    let second_chunk: Vec<u64> = (51..=100).collect();
    index
        .apply_event(make_store_event_with_parent(0, &first_chunk, &second_chunk))
        .await;

    // Third store: blocks 101-150 (continuation of second)
    let prefix_1_2: Vec<u64> = (1..=100).collect();
    let third_chunk: Vec<u64> = (101..=150).collect();
    index
        .apply_event(make_store_event_with_parent(0, &prefix_1_2, &third_chunk))
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query full sequence - should match all 150 blocks
    let full_query: Vec<LocalBlockHash> = (1..=150).map(LocalBlockHash).collect();
    let scores = index.find_matches(full_query).await.unwrap();
    assert_eq!(scores.scores.len(), 1);
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        150
    );

    // Query crossing continuation boundaries
    let cross_boundary_query: Vec<LocalBlockHash> = (45..=105).map(LocalBlockHash).collect();
    let scores = index.find_matches(cross_boundary_query).await.unwrap();
    // Query starts at block 45, but stored sequence starts at 1, so this won't match
    // because the sequence hash at position 0 of our query (block 45) won't match
    // the stored sequence hash at position 0 (block 1)
    assert!(scores.scores.is_empty() || !scores.scores.contains_key(&WorkerWithDpRank::new(0, 0)));
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_branching_continuations(variant: &str) {
    let index = make_indexer(variant);

    // Common prefix: blocks 1-30
    let common_prefix: Vec<u64> = (1..=30).collect();
    index.apply_event(make_store_event(0, &common_prefix)).await;

    // Branch A: blocks 31-60 on worker 0
    let branch_a: Vec<u64> = (31..=60).collect();
    index
        .apply_event(make_store_event_with_parent(0, &common_prefix, &branch_a))
        .await;

    // Branch B: blocks 131-160 (different content) on worker 1
    // First store the common prefix for worker 1
    index.apply_event(make_store_event(1, &common_prefix)).await;
    let branch_b: Vec<u64> = (131..=160).collect();
    index
        .apply_event(make_store_event_with_parent(1, &common_prefix, &branch_b))
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query common prefix - both workers should match
    let prefix_query: Vec<LocalBlockHash> = (1..=30).map(LocalBlockHash).collect();
    let scores = index.find_matches(prefix_query).await.unwrap();
    assert_eq!(scores.scores.len(), 2);
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        30
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(1, 0)).unwrap(),
        30
    );

    // Query branch A path - only worker 0 should match fully
    let branch_a_query: Vec<LocalBlockHash> = (1..=60).map(LocalBlockHash).collect();
    let scores = index.find_matches(branch_a_query).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        60
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(1, 0)).unwrap(),
        30
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_partial_removal(variant: &str) {
    let index = make_indexer(variant);

    // Store a long sequence
    let sequence: Vec<u64> = (1..=100).collect();
    index.apply_event(make_store_event(0, &sequence)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify full match
    let full_query: Vec<LocalBlockHash> = sequence.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(full_query.clone()).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        100
    );

    // Remove blocks 80-100 (the tail)
    let tail_hashes: Vec<LocalBlockHash> = (1..=100).map(LocalBlockHash).collect();
    let seq_hashes = compute_seq_hash_for_block(&tail_hashes);
    let remove_hashes: Vec<ExternalSequenceBlockHash> = seq_hashes[79..100]
        .iter()
        .map(|&h| ExternalSequenceBlockHash(h))
        .collect();

    let remove_event = RouterEvent {
        worker_id: 0,
        event: KvCacheEvent {
            event_id: 0,
            data: KvCacheEventData::Removed(KvCacheRemoveData {
                block_hashes: remove_hashes,
            }),
            dp_rank: 0,
        },
    };
    index.apply_event(remove_event).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query should now only match first 79 blocks
    let scores = index.find_matches(full_query).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        79
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_interleaved_workers(variant: &str) {
    let index = make_indexer(variant);

    // Multiple workers storing overlapping long sequences concurrently
    // Worker 0: blocks 1-100
    // Worker 1: blocks 1-75
    // Worker 2: blocks 1-50
    // Worker 3: blocks 1-25

    let seq_100: Vec<u64> = (1..=100).collect();
    let seq_75: Vec<u64> = (1..=75).collect();
    let seq_50: Vec<u64> = (1..=50).collect();
    let seq_25: Vec<u64> = (1..=25).collect();

    index.apply_event(make_store_event(0, &seq_100)).await;
    index.apply_event(make_store_event(1, &seq_75)).await;
    index.apply_event(make_store_event(2, &seq_50)).await;
    index.apply_event(make_store_event(3, &seq_25)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query for 60 blocks - workers 0,1 match 60, worker 2 matches 50, worker 3 matches 25
    let query_60: Vec<LocalBlockHash> = (1..=60).map(LocalBlockHash).collect();
    let scores = index.find_matches(query_60).await.unwrap();
    assert_eq!(scores.scores.len(), 4);
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        60
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(1, 0)).unwrap(),
        60
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(2, 0)).unwrap(),
        50
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(3, 0)).unwrap(),
        25
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_exact_jump_size_boundaries(variant: &str) {
    let index = make_indexer(variant);

    // Test sequences that align exactly with jump_size boundaries (32 for PositionalIndexer)
    // This tests edge cases in the jump search algorithm

    // Store sequence of exactly 32 blocks
    let seq_32: Vec<u64> = (1..=32).collect();
    index.apply_event(make_store_event(0, &seq_32)).await;

    // Store sequence of exactly 64 blocks (2x jump_size)
    let seq_64: Vec<u64> = (1001..=1064).collect();
    index.apply_event(make_store_event(1, &seq_64)).await;

    // Store sequence of exactly 96 blocks (3x jump_size)
    let seq_96: Vec<u64> = (2001..=2096).collect();
    index.apply_event(make_store_event(2, &seq_96)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify all sequences match correctly
    let query_32: Vec<LocalBlockHash> = seq_32.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(query_32).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        32
    );

    let query_64: Vec<LocalBlockHash> = seq_64.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(query_64).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(1, 0)).unwrap(),
        64
    );

    let query_96: Vec<LocalBlockHash> = seq_96.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(query_96).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(2, 0)).unwrap(),
        96
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_off_by_one_jump_boundaries(variant: &str) {
    let index = make_indexer(variant);

    // Test sequences at jump_size +/- 1 boundaries to catch off-by-one errors
    let seq_31: Vec<u64> = (1..=31).collect();
    let seq_33: Vec<u64> = (101..=133).collect();
    let seq_63: Vec<u64> = (201..=263).collect();
    let seq_65: Vec<u64> = (301..=365).collect();

    index.apply_event(make_store_event(0, &seq_31)).await;
    index.apply_event(make_store_event(1, &seq_33)).await;
    index.apply_event(make_store_event(2, &seq_63)).await;
    index.apply_event(make_store_event(3, &seq_65)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify all sequences match correctly
    let query_31: Vec<LocalBlockHash> = seq_31.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(query_31).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        31
    );

    let query_33: Vec<LocalBlockHash> = seq_33.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(query_33).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(1, 0)).unwrap(),
        33
    );

    let query_63: Vec<LocalBlockHash> = seq_63.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(query_63).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(2, 0)).unwrap(),
        63
    );

    let query_65: Vec<LocalBlockHash> = seq_65.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(query_65).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(3, 0)).unwrap(),
        65
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_divergence_at_jump_boundaries(variant: &str) {
    let index = make_indexer(variant);

    // Store a long sequence
    let sequence: Vec<u64> = (1..=128).collect();
    index.apply_event(make_store_event(0, &sequence)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Test divergence exactly at jump boundaries (position 31, 32, 33, 63, 64, 65)
    for diverge_pos in [31usize, 32, 33, 63, 64, 65, 95, 96, 97] {
        let mut query: Vec<LocalBlockHash> = (1..=128).map(LocalBlockHash).collect();
        query[diverge_pos] = LocalBlockHash(99999);

        let scores = index.find_matches(query).await.unwrap();
        assert_eq!(
            *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
            diverge_pos as u32,
            "Divergence at position {} should match {} blocks",
            diverge_pos,
            diverge_pos
        );
    }
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_deep_continuation_chain(variant: &str) {
    let index = make_indexer(variant);

    // Build a very long sequence through many small continuations
    // This tests the parent_hash chain handling
    let chunk_size = 10;
    let num_chunks = 20; // Total 200 blocks

    let mut full_prefix: Vec<u64> = Vec::new();

    for chunk_idx in 0..num_chunks {
        let chunk_start = chunk_idx * chunk_size + 1;
        let chunk: Vec<u64> = (chunk_start..chunk_start + chunk_size)
            .map(|x| x as u64)
            .collect();

        if chunk_idx == 0 {
            index.apply_event(make_store_event(0, &chunk)).await;
        } else {
            index
                .apply_event(make_store_event_with_parent(0, &full_prefix, &chunk))
                .await;
        }

        full_prefix.extend(&chunk);
    }

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query full sequence
    let full_query: Vec<LocalBlockHash> = (1..=200).map(LocalBlockHash).collect();
    let scores = index.find_matches(full_query).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        200
    );

    // Query partial prefix crossing multiple chunk boundaries
    let partial_query: Vec<LocalBlockHash> = (1..=75).map(LocalBlockHash).collect();
    let scores = index.find_matches(partial_query).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        75
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_clear_and_rebuild(variant: &str) {
    let index = make_indexer(variant);

    // Store a long sequence
    let sequence: Vec<u64> = (1..=100).collect();
    index.apply_event(make_store_event(0, &sequence)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify it's stored
    let query: Vec<LocalBlockHash> = sequence.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(query.clone()).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        100
    );

    // Clear the worker
    index.apply_event(make_clear_event(0)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify it's cleared
    let scores = index.find_matches(query.clone()).await.unwrap();
    assert!(scores.scores.is_empty());

    // Rebuild with a different sequence
    let new_sequence: Vec<u64> = (1001..=1100).collect();
    index.apply_event(make_store_event(0, &new_sequence)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Verify new sequence works
    let new_query: Vec<LocalBlockHash> = new_sequence.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(new_query).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        100
    );

    // Verify old sequence no longer matches
    let scores = index.find_matches(query).await.unwrap();
    assert!(scores.scores.is_empty());
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_multiple_workers_diverging(variant: &str) {
    let index = make_indexer(variant);

    // Multiple workers with long sequences that share a prefix then diverge
    // This tests precise drain point tracking across workers

    // All workers share prefix 1-40
    let shared_prefix: Vec<u64> = (1..=40).collect();

    // Worker 0: prefix + 41-100 (stores full sequence 1-100)
    let worker_0_full: Vec<u64> = (1..=100).collect();

    // Worker 1: prefix + 141-180 (diverges at block 41)
    let worker_1_suffix: Vec<u64> = (141..=180).collect();

    // Worker 2: prefix + 241-300 (diverges at block 41)
    let worker_2_suffix: Vec<u64> = (241..=300).collect();

    // Store for all workers
    index.apply_event(make_store_event(0, &worker_0_full)).await;

    index.apply_event(make_store_event(1, &shared_prefix)).await;
    index
        .apply_event(make_store_event_with_parent(
            1,
            &shared_prefix,
            &worker_1_suffix,
        ))
        .await;

    index.apply_event(make_store_event(2, &shared_prefix)).await;
    index
        .apply_event(make_store_event_with_parent(
            2,
            &shared_prefix,
            &worker_2_suffix,
        ))
        .await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query 1-100 - worker 0 matches 100, workers 1&2 match 40
    let query: Vec<LocalBlockHash> = worker_0_full.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(query).await.unwrap();

    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        100
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(1, 0)).unwrap(),
        40
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(2, 0)).unwrap(),
        40
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_long_sequence_staggered_lengths(variant: &str) {
    let index = make_indexer(variant);

    // Workers with sequences of staggered lengths to test drain tracking
    // Worker 0: 10 blocks
    // Worker 1: 20 blocks
    // Worker 2: 35 blocks (just past first jump)
    // Worker 3: 64 blocks (exactly 2 jumps)
    // Worker 4: 100 blocks

    for (worker_id, len) in [(0, 10), (1, 20), (2, 35), (3, 64), (4, 100)] {
        let sequence: Vec<u64> = (1..=len).collect();
        index
            .apply_event(make_store_event(worker_id, &sequence))
            .await;
    }

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Query for 100 blocks - each worker should match their stored length
    let query: Vec<LocalBlockHash> = (1..=100).map(LocalBlockHash).collect();
    let scores = index.find_matches(query).await.unwrap();

    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        10
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(1, 0)).unwrap(),
        20
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(2, 0)).unwrap(),
        35
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(3, 0)).unwrap(),
        64
    );
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(4, 0)).unwrap(),
        100
    );
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_very_long_sequence(variant: &str) {
    let index = make_indexer(variant);

    // Test with a very long sequence (1000 blocks)
    let seq_len = 1000u64;
    let sequence: Vec<u64> = (1..=seq_len).collect();
    index.apply_event(make_store_event(0, &sequence)).await;

    tokio::time::sleep(Duration::from_millis(100)).await;

    // Full match
    let full_query: Vec<LocalBlockHash> = sequence.iter().map(|&i| LocalBlockHash(i)).collect();
    let scores = index.find_matches(full_query).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        seq_len as u32
    );

    // Partial match (first 500)
    let partial_query: Vec<LocalBlockHash> = (1..=500).map(LocalBlockHash).collect();
    let scores = index.find_matches(partial_query).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        500
    );

    // Divergence in the middle
    let mut mid_diverge: Vec<LocalBlockHash> = (1..=1000).map(LocalBlockHash).collect();
    mid_diverge[499] = LocalBlockHash(99999);
    let scores = index.find_matches(mid_diverge).await.unwrap();
    assert_eq!(
        *scores.scores.get(&WorkerWithDpRank::new(0, 0)).unwrap(),
        499
    );
}

// ============================================================================
// Tests specific to tree-based implementations (KvIndexer, KvIndexerSharded)
// These use features not available in PositionalIndexer
// ============================================================================

#[template]
#[rstest]
fn tree_indexer_template(#[values("single", "sharded")] variant: &str) {}

fn make_tree_indexer_with_frequency(
    variant: &str,
    expiration: Duration,
) -> Box<dyn KvIndexerInterface> {
    let token = CancellationToken::new();
    let metrics = Arc::new(KvIndexerMetrics::new_unregistered());
    let kv_block_size = 32;

    match variant {
        "single" => Box::new(KvIndexer::new_with_frequency(
            token,
            Some(expiration),
            kv_block_size,
            metrics,
            None,
        )),
        "sharded" => Box::new(KvIndexerSharded::new_with_frequency(
            token,
            4,
            Some(expiration),
            kv_block_size,
            metrics,
            None,
        )),
        _ => panic!("Unknown variant: {}", variant),
    }
}

#[tokio::test]
#[apply(tree_indexer_template)]
async fn test_frequency(variant: &str) {
    const ONE_MILLIS: Duration = Duration::from_millis(1);

    let expiration = Duration::from_millis(50);
    let kv_indexer = make_tree_indexer_with_frequency(variant, expiration);

    // The blocks
    let block_hashes = vec![
        LocalBlockHash(1),
        LocalBlockHash(2),
        LocalBlockHash(3),
        LocalBlockHash(4),
    ];

    let overlap = kv_indexer.find_matches(block_hashes.clone()).await.unwrap();
    assert_eq!(
        overlap.frequencies.len(),
        0,
        "Should be no cached blocks yet"
    );

    // Blocks go in cache
    let event = make_store_event(0, &[1, 2, 3, 4]);
    kv_indexer.apply_event(event).await;

    // First access - poll briefly since store event is applied async
    let mut overlap = OverlapScores::default();
    let timeout = Duration::from_millis(10);
    let start = Instant::now();
    while overlap.scores.is_empty() && Instant::now().duration_since(start) < timeout {
        time::sleep(ONE_MILLIS).await;
        overlap = kv_indexer.find_matches(block_hashes.clone()).await.unwrap();
    }
    assert_eq!(
        overlap.scores.len(),
        1,
        "One worker has these blocks cached"
    );
    assert_eq!(
        overlap.frequencies.len(),
        0,
        "Blocks have not previously been accessed"
    );

    // Second access
    let overlap = kv_indexer.find_matches(block_hashes.clone()).await.unwrap();
    assert_eq!(overlap.scores.len(), 1, "Still one worker matches");
    assert_eq!(
        overlap.frequencies,
        vec![1, 1, 1, 1],
        "We should see the first access now"
    );

    // Let those two accesses expire
    time::sleep(expiration + Duration::from_millis(10)).await;

    // New first access
    let overlap = kv_indexer.find_matches(block_hashes.clone()).await.unwrap();
    assert_eq!(
        overlap.frequencies.len(),
        0,
        "Blocks were accessed too long ago"
    );

    // New second access
    let _ = kv_indexer.find_matches(block_hashes.clone()).await.unwrap();

    // Access only the first three blocks
    let overlap = kv_indexer
        .find_matches(block_hashes[0..3].to_vec())
        .await
        .unwrap();
    // We see the previous two new accesses
    assert_eq!(overlap.frequencies, vec![2, 2, 2]);

    // The third access did not touch the last block
    let overlap = kv_indexer.find_matches(block_hashes.clone()).await.unwrap();
    assert_eq!(overlap.frequencies, vec![3, 3, 3, 2]);
}

// ============================================================================
// KvIndexerMetrics tests
// ============================================================================

#[test]
fn test_increment_event_applied() {
    let metrics = KvIndexerMetrics::new_unregistered();

    metrics.increment_event_applied(METRIC_EVENT_STORED, Ok(()));
    assert_eq!(
        metrics
            .kv_cache_events_applied
            .get_metric_with_label_values(&[METRIC_EVENT_STORED, METRIC_STATUS_OK])
            .unwrap()
            .get(),
        1
    );

    metrics.increment_event_applied(
        METRIC_EVENT_STORED,
        Err(KvCacheEventError::ParentBlockNotFound),
    );
    assert_eq!(
        metrics
            .kv_cache_events_applied
            .get_metric_with_label_values(&[METRIC_EVENT_STORED, METRIC_STATUS_PARENT_NOT_FOUND])
            .unwrap()
            .get(),
        1
    );

    metrics.increment_event_applied(METRIC_EVENT_REMOVED, Err(KvCacheEventError::BlockNotFound));
    assert_eq!(
        metrics
            .kv_cache_events_applied
            .get_metric_with_label_values(&[METRIC_EVENT_REMOVED, METRIC_STATUS_BLOCK_NOT_FOUND])
            .unwrap()
            .get(),
        1
    );
}

// ============================================================================
// LocalKvIndexer tests
// ============================================================================

fn make_local_indexer_with_events(ids: &[u64]) -> LocalKvIndexer {
    let indexer = LocalKvIndexer::new(
        CancellationToken::new(),
        4,
        Arc::new(KvIndexerMetrics::new_unregistered()),
        32,
    );
    {
        let mut buffer = indexer.event_buffer.lock().unwrap();
        for &id in ids {
            buffer.push_back(RouterEvent::new(
                0,
                KvCacheEvent {
                    event_id: id,
                    data: KvCacheEventData::Cleared,
                    dp_rank: 0,
                },
            ));
        }
    }
    indexer
}

#[tokio::test]
async fn test_local_indexer_slice_within_range() {
    let indexer = make_local_indexer_with_events(&[1, 2, 3, 4, 5]);

    // Helper to extract events from response
    let extract_events = |resp: WorkerKvQueryResponse| -> Vec<RouterEvent> {
        match resp {
            WorkerKvQueryResponse::Events(e) => e,
            WorkerKvQueryResponse::TreeDump(e) => e,
            _ => panic!("Unexpected response type"),
        }
    };

    let get_ids = |events: Vec<RouterEvent>| -> Vec<u64> {
        events.iter().map(|e| e.event.event_id).collect()
    };

    // Test get_events_in_id_range (buffer queries)
    // Range is [start, end] inclusive
    let result = indexer.get_events_in_id_range(Some(2), Some(4)).await;
    let ids = get_ids(extract_events(result));
    assert_eq!(ids, vec![2, 3, 4]); // inclusive range [2, 4]

    let result = indexer.get_events_in_id_range(Some(2), Some(6)).await;
    let ids = get_ids(extract_events(result));
    assert_eq!(ids, vec![2, 3, 4, 5]); // clamp end to buffer max

    // start_id=0 is before buffer (first is 1), so should trigger tree dump
    let result = indexer.get_events_in_id_range(Some(0), Some(4)).await;
    assert!(matches!(result, WorkerKvQueryResponse::TreeDump(_)));

    let result = indexer.get_events_in_id_range(Some(3), Some(3)).await;
    let ids = get_ids(extract_events(result));
    assert_eq!(ids, vec![3]); // single element when start == end

    // Invalid range: end < start
    let result = indexer.get_events_in_id_range(Some(5), Some(2)).await;
    assert!(matches!(result, WorkerKvQueryResponse::InvalidRange { .. }));
}

#[tokio::test]
async fn test_local_indexer_get_events_in_id_range_all_cases() {
    // Create indexer with small buffer (5 events max)
    let indexer = LocalKvIndexer::new(
        CancellationToken::new(),
        4,
        Arc::new(KvIndexerMetrics::new_unregistered()),
        5,
    );

    // Helper to create a test event
    let make_event = |id: u64| {
        RouterEvent::new(
            0,
            KvCacheEvent {
                event_id: id,
                data: KvCacheEventData::Stored(KvCacheStoreData {
                    parent_hash: None,
                    blocks: vec![KvCacheStoredBlockData {
                        block_hash: ExternalSequenceBlockHash(id * 100),
                        tokens_hash: LocalBlockHash(id * 200),
                        mm_extra_info: None,
                    }],
                }),
                dp_rank: 0,
            },
        )
    };

    // Add 10 events (IDs 5-14), buffer keeps last 5: events 10-14
    for id in 5..15 {
        indexer
            .apply_event_with_buffer(make_event(id))
            .await
            .unwrap();
    }

    // Wait for events to be processed
    indexer.flush().await;

    let extract_events = |resp: WorkerKvQueryResponse| -> Vec<RouterEvent> {
        match resp {
            WorkerKvQueryResponse::Events(e) => e,
            WorkerKvQueryResponse::TreeDump(e) => e,
            _ => panic!("Unexpected response type: {:?}", resp),
        }
    };

    let get_ids = |events: Vec<RouterEvent>| -> Vec<u64> {
        events.iter().map(|e| e.event.event_id).collect()
    };

    // Verify buffer state
    let buffer_events = indexer.get_all_events_in_buffer();
    assert_eq!(get_ids(buffer_events), vec![10, 11, 12, 13, 14]);

    // Buffer path tests
    let result = indexer.get_events_in_id_range(Some(11), None).await;
    assert_eq!(get_ids(extract_events(result)), vec![11, 12, 13, 14]);

    let result = indexer.get_events_in_id_range(Some(10), Some(14)).await;
    assert_eq!(get_ids(extract_events(result)), vec![10, 11, 12, 13, 14]);

    // Tree dump path tests
    let result = indexer.get_events_in_id_range(None, None).await;
    assert!(matches!(result, WorkerKvQueryResponse::TreeDump(_)));
    assert_eq!(extract_events(result).len(), 10);

    let result = indexer.get_events_in_id_range(Some(7), None).await;
    assert!(matches!(result, WorkerKvQueryResponse::TreeDump(_)));

    // Edge cases
    let result = indexer.get_events_in_id_range(Some(15), Some(10)).await;
    assert!(matches!(result, WorkerKvQueryResponse::InvalidRange { .. }));

    let result = indexer.get_events_in_id_range(Some(100), Some(200)).await;
    assert!(matches!(result, WorkerKvQueryResponse::TooNew { .. }));
}

#[tokio::test]
async fn test_local_indexer_buffer_and_serialization() {
    let worker_id = 42u64;
    let token = CancellationToken::new();
    let metrics = Arc::new(KvIndexerMetrics::new_unregistered());
    let local_indexer = Arc::new(LocalKvIndexer::new(token, 4, metrics, 100));

    let test_event = RouterEvent::new(
        worker_id,
        KvCacheEvent {
            event_id: 1,
            data: KvCacheEventData::Stored(KvCacheStoreData {
                parent_hash: None,
                blocks: vec![KvCacheStoredBlockData {
                    block_hash: ExternalSequenceBlockHash(100),
                    tokens_hash: LocalBlockHash(200),
                    mm_extra_info: None,
                }],
            }),
            dp_rank: 0,
        },
    );

    local_indexer
        .apply_event_with_buffer(test_event)
        .await
        .unwrap();

    local_indexer.flush().await;

    let buffered_events = local_indexer.get_all_events_in_buffer();
    assert_eq!(buffered_events.len(), 1);
    assert_eq!(buffered_events[0].worker_id, worker_id);

    // Test serialization round-trip
    let response = WorkerKvQueryResponse::Events(buffered_events);
    let serialized = serde_json::to_vec(&response).unwrap();
    let deserialized: WorkerKvQueryResponse = serde_json::from_slice(&serialized).unwrap();

    let events = match deserialized {
        WorkerKvQueryResponse::Events(e) => e,
        _ => panic!("Expected Events variant"),
    };
    assert_eq!(events.len(), 1);
    assert_eq!(events[0].worker_id, worker_id);
}

#[tokio::test]
#[apply(indexer_template)]
async fn test_apply_events_idempotent(variant: &str) {
    let index = make_indexer(variant);

    // Setup: build initial tree
    index.apply_event(make_store_event(0, &[1, 2, 3])).await;
    index.apply_event(make_store_event(1, &[4, 5, 6])).await;
    index
        .apply_event(make_store_event_with_parent(0, &[1, 2, 3], &[7, 8]))
        .await;
    tokio::time::sleep(Duration::from_millis(100)).await;
    let s0 = snapshot_tree(index.as_ref()).await;

    // Mutation events: each add paired with its remove
    let adds = [
        make_store_event(2, &[1, 2, 9]),
        make_store_event_with_parent(1, &[4, 5, 6], &[10, 11, 12]),
    ];
    let removes = [
        make_remove_event(2, &[1, 2, 9]),
        make_remove_event_with_parent(1, &[4, 5, 6], &[10, 11, 12]),
    ];

    // Phase 1: interleaved add/remove
    index.apply_event(adds[0].clone()).await;
    index.apply_event(removes[0].clone()).await;
    index.apply_event(adds[1].clone()).await;
    index.apply_event(removes[1].clone()).await;
    tokio::time::sleep(Duration::from_millis(100)).await;
    let s1 = snapshot_tree(index.as_ref()).await;
    assert_eq!(
        s0, s1,
        "Phase 1: interleaved add/remove should restore tree"
    );

    // Phase 2: same interleaved again (idempotence of the full cycle)
    index.apply_event(adds[0].clone()).await;
    index.apply_event(removes[0].clone()).await;
    index.apply_event(adds[1].clone()).await;
    index.apply_event(removes[1].clone()).await;
    tokio::time::sleep(Duration::from_millis(100)).await;
    let s2 = snapshot_tree(index.as_ref()).await;
    assert_eq!(s1, s2, "Phase 2: repeated cycle should be idempotent");

    // Phase 3: non-interleaved (all adds then all removes)
    index.apply_event(adds[0].clone()).await;
    index.apply_event(adds[1].clone()).await;
    index.apply_event(removes[0].clone()).await;
    index.apply_event(removes[1].clone()).await;
    tokio::time::sleep(Duration::from_millis(100)).await;
    let s3 = snapshot_tree(index.as_ref()).await;
    assert_eq!(
        s2, s3,
        "Phase 3: non-interleaved ordering should restore tree"
    );
}
