Merge branch 'worktree-agent-ac58bf5116b74ff84' into arch-review-remediation

This commit is contained in:
Joseph Doherty
2026-08-14 20:14:13 -04:00
4 changed files with 358 additions and 41 deletions
@@ -30,6 +30,9 @@ public class EventLogPurgeService : BackgroundService
/// <summary>Number of events deleted per cap-purge batch.</summary>
private const int CapPurgeBatchSize = 1000;
/// <summary>Number of events deleted per retention-purge batch — same size as <see cref="CapPurgeBatchSize"/>.</summary>
private const int RetentionPurgeBatchSize = 1000;
private readonly SiteEventLogger _eventLogger;
private readonly SiteEventLogOptions _options;
private readonly ILogger<EventLogPurgeService> _logger;
@@ -118,21 +121,46 @@ public class EventLogPurgeService : BackgroundService
}
}
/// <summary>
/// Deletes events older than the retention window, in bounded
/// <see cref="RetentionPurgeBatchSize"/>-row slices per DELETE statement rather than
/// one unbounded DELETE for the whole expired set — mirroring the batching already
/// used a few lines below in <see cref="PurgeByStorageCap"/> (<see cref="CapPurgeBatchSize"/>).
/// An expired backlog in the tens/hundreds of thousands of rows would otherwise hold a
/// single SQLite write transaction (and the shared <c>_writeLock</c>) open for the
/// whole delete, blocking every concurrent <see cref="SiteEventLogger.LogEventAsync"/>
/// writer-loop flush for that entire duration.
/// </summary>
private void PurgeByRetention()
{
var cutoff = DateTimeOffset.UtcNow.AddDays(-_options.RetentionDays).ToString("o");
var totalDeleted = 0;
var deleted = _eventLogger.WithConnection(connection =>
while (true)
{
using var cmd = connection.CreateCommand();
cmd.CommandText = "DELETE FROM site_events WHERE timestamp < $cutoff";
cmd.Parameters.AddWithValue("$cutoff", cutoff);
return cmd.ExecuteNonQuery();
});
var deleted = _eventLogger.WithConnection(connection =>
{
using var cmd = connection.CreateCommand();
cmd.CommandText = $"""
DELETE FROM site_events WHERE id IN (
SELECT id FROM site_events
WHERE timestamp < $cutoff
LIMIT {RetentionPurgeBatchSize}
)
""";
cmd.Parameters.AddWithValue("$cutoff", cutoff);
return cmd.ExecuteNonQuery();
});
if (deleted > 0)
totalDeleted += deleted;
if (deleted < RetentionPurgeBatchSize)
break;
}
if (totalDeleted > 0)
{
_logger.LogInformation("Purged {Count} events older than {Days} days", deleted, _options.RetentionDays);
_logger.LogInformation("Purged {Count} events older than {Days} days", totalDeleted, _options.RetentionDays);
}
}
@@ -34,12 +34,23 @@ namespace ZB.MOM.WW.ScadaBridge.SiteEventLogging;
/// </remarks>
public class SiteEventLogger : ISiteEventLogger, IDisposable
{
/// <summary>
/// Maximum number of queued events committed together in a single transaction
/// per writer-loop drain. Mirrors <c>SqliteAuditWriter</c>'s batch size
/// (<c>ZB.MOM.WW.ScadaBridge.AuditLog/Site/SqliteAuditWriter.cs</c>,
/// <c>ProcessWriteQueueAsync</c>/<c>FlushBatch</c>) — see the comment on
/// <see cref="ProcessWriteQueueAsync"/> for why one transaction per drain
/// replaces the previous one-transaction-per-event shape.
/// </summary>
internal const int WriteBatchSize = 256;
private readonly SqliteConnection _connection;
private readonly ILogger<SiteEventLogger> _logger;
private readonly object _writeLock = new();
private readonly Channel<PendingEvent> _writeQueue;
private readonly Task _writerLoop;
private long _failedWriteCount;
private long _committedBatchCount;
private bool _disposed;
/// <summary>
@@ -102,6 +113,14 @@ public class SiteEventLogger : ISiteEventLogger, IDisposable
/// <inheritdoc />
public long FailedWriteCount => Interlocked.Read(ref _failedWriteCount);
/// <summary>
/// Number of write-batch transactions successfully committed since startup. Test-only
/// observability hook (not part of <see cref="ISiteEventLogger"/>) proving the
/// "drain up to <see cref="WriteBatchSize"/> queued events into one transaction" shape
/// described on <see cref="ProcessWriteQueueAsync"/> — production code does not read it.
/// </summary>
internal long CommittedBatchCount => Interlocked.Read(ref _committedBatchCount);
/// <summary>
/// Runs <paramref name="action"/> against the shared connection while holding the
/// write lock, so purge / query / record callers on different threads never use
@@ -212,54 +231,132 @@ public class SiteEventLogger : ISiteEventLogger, IDisposable
return pending.Completion.Task;
}
/// <summary>
/// Drains up to <see cref="WriteBatchSize"/> queued events per iteration and commits
/// them in a single transaction, instead of one transaction per event. Mirrors the
/// reference shape in <c>SqliteAuditWriter.ProcessWriteQueueAsync</c>/<c>FlushBatch</c>
/// (<c>ZB.MOM.WW.ScadaBridge.AuditLog/Site/SqliteAuditWriter.cs</c>): pull the first
/// item with the blocking <c>ReadAllAsync</c> enumerator, then greedily <c>TryRead</c>
/// whatever else is already queued (non-blocking) up to the batch cap, so a burst of
/// concurrent <see cref="LogEventAsync"/> callers amortises SQLite's per-transaction
/// fsync/journal overhead across the whole burst instead of paying it per row.
/// </summary>
private async Task ProcessWriteQueueAsync()
{
await foreach (var pending in _writeQueue.Reader.ReadAllAsync().ConfigureAwait(false))
var batch = new List<PendingEvent>(WriteBatchSize);
await foreach (var first in _writeQueue.Reader.ReadAllAsync().ConfigureAwait(false))
{
try
batch.Clear();
batch.Add(first);
while (batch.Count < WriteBatchSize && _writeQueue.Reader.TryRead(out var next))
{
var written = WithConnection(connection =>
batch.Add(next);
}
FlushBatch(batch);
}
}
/// <summary>
/// Commits a drained batch of pending events in one transaction. All-or-nothing per
/// batch: <c>site_events</c> ids are freshly minted GUIDs per <see cref="LogEventAsync"/>
/// call (no cross-call replay/de-dup concern the way <c>SqliteAuditWriter</c> has), so
/// unlike that reference there is no per-row duplicate-key swallow here — any failure
/// rolls back the whole batch and faults every event in it. <c>site_events</c> is a
/// CDC-replicated table (LocalDb Phase 1); its capture triggers fire per row on INSERT
/// same as before, so batching the commit changes only how many rows land per
/// transaction, not per-row trigger/replication behavior.
/// </summary>
private void FlushBatch(IReadOnlyList<PendingEvent> batch)
{
bool written;
Exception? failure = null;
try
{
written = WithConnection(connection =>
{
using var transaction = connection.BeginTransaction();
try
{
using var cmd = connection.CreateCommand();
cmd.Transaction = transaction;
cmd.CommandText = """
INSERT INTO site_events (id, timestamp, event_type, severity, instance_id, source, message, details)
VALUES ($id, $timestamp, $event_type, $severity, $instance_id, $source, $message, $details)
""";
cmd.Parameters.AddWithValue("$id", pending.Id);
cmd.Parameters.AddWithValue("$timestamp", pending.Timestamp);
cmd.Parameters.AddWithValue("$event_type", pending.EventType);
cmd.Parameters.AddWithValue("$severity", pending.Severity);
cmd.Parameters.AddWithValue("$instance_id", (object?)pending.InstanceId ?? DBNull.Value);
cmd.Parameters.AddWithValue("$source", pending.Source);
cmd.Parameters.AddWithValue("$message", pending.Message);
cmd.Parameters.AddWithValue("$details", (object?)pending.Details ?? DBNull.Value);
cmd.ExecuteNonQuery();
});
var pId = cmd.Parameters.Add("$id", SqliteType.Text);
var pTimestamp = cmd.Parameters.Add("$timestamp", SqliteType.Text);
var pEventType = cmd.Parameters.Add("$event_type", SqliteType.Text);
var pSeverity = cmd.Parameters.Add("$severity", SqliteType.Text);
var pInstanceId = cmd.Parameters.Add("$instance_id", SqliteType.Text);
var pSource = cmd.Parameters.Add("$source", SqliteType.Text);
var pMessage = cmd.Parameters.Add("$message", SqliteType.Text);
var pDetails = cmd.Parameters.Add("$details", SqliteType.Text);
if (written)
{
pending.Completion.TrySetResult();
foreach (var pending in batch)
{
pId.Value = pending.Id;
pTimestamp.Value = pending.Timestamp;
pEventType.Value = pending.EventType;
pSeverity.Value = pending.Severity;
pInstanceId.Value = (object?)pending.InstanceId ?? DBNull.Value;
pSource.Value = pending.Source;
pMessage.Value = pending.Message;
pDetails.Value = (object?)pending.Details ?? DBNull.Value;
cmd.ExecuteNonQuery();
}
transaction.Commit();
Interlocked.Increment(ref _committedBatchCount);
}
else
catch
{
// WithConnection returns false only when the logger has been
// disposed mid-drain; the event was not persisted. Fault the
// Task instead of reporting false
// success for a dropped audit event.
pending.Completion.TrySetException(
new ObjectDisposedException(nameof(SiteEventLogger),
"Event could not be recorded: the event logger was disposed before the write completed."));
transaction.Rollback();
throw;
}
}
catch (Exception ex)
});
}
catch (Exception ex)
{
failure = ex;
written = false;
}
if (failure is not null)
{
// A write failure must be observable. Count every event in the failed
// batch (Health Monitoring reads FailedWriteCount) and fault each
// caller's Task instead of silently discarding the exception.
Interlocked.Add(ref _failedWriteCount, batch.Count);
_logger.LogError(failure, "Failed to record {Count} event(s) in batch (sqlite {SqliteError})",
batch.Count, DescribeSqliteError(failure));
foreach (var pending in batch)
{
// A write failure must be observable. Count it
// (Health Monitoring reads FailedWriteCount) and fault the caller's
// Task instead of silently discarding the exception.
Interlocked.Increment(ref _failedWriteCount);
_logger.LogError(ex, "Failed to record event: {EventType} from {Source} (sqlite {SqliteError})",
pending.EventType, pending.Source, DescribeSqliteError(ex));
pending.Completion.TrySetException(ex);
pending.Completion.TrySetException(failure);
}
return;
}
if (written)
{
foreach (var pending in batch)
{
pending.Completion.TrySetResult();
}
}
else
{
// WithConnection returns false only when the logger has been
// disposed mid-drain; none of the batch was persisted. Fault every
// Task instead of reporting false success for a dropped event.
var disposedEx = new ObjectDisposedException(nameof(SiteEventLogger),
"Event could not be recorded: the event logger was disposed before the write completed.");
foreach (var pending in batch)
{
pending.Completion.TrySetException(disposedEx);
}
}
}
@@ -106,6 +106,40 @@ public class EventLogPurgeServiceTests : IDisposable
Assert.Equal(3, GetEventCount());
}
[Fact]
public void PurgeByRetention_OverBatchSize_DeletesAllExpiredRowsAcrossSlices()
{
// WP1.7: the retention purge must slice a large expired backlog into
// bounded DELETE batches (1000 rows/iteration, mirroring the storage-cap
// purge a few lines below in the same file) rather than one unbounded
// DELETE. Seed more than one slice's worth of expired rows plus a
// handful of recent rows, and assert the whole expired set is gone —
// not just the first 1000 rows — while the recent rows survive.
const int expiredCount = 2500; // > one 1000-row slice, not an exact multiple
var expiredBase = DateTimeOffset.UtcNow.AddDays(-31);
_eventLogger.WithConnection(connection =>
{
for (var i = 0; i < expiredCount; i++)
{
using var cmd = connection.CreateCommand();
cmd.CommandText = """
INSERT INTO site_events (id, timestamp, event_type, severity, source, message)
VALUES ($id, $ts, 'script', 'Info', 'Test', 'Test message')
""";
cmd.Parameters.AddWithValue("$id", Guid.NewGuid().ToString("N"));
cmd.Parameters.AddWithValue("$ts", expiredBase.AddSeconds(i).ToString("o"));
cmd.ExecuteNonQuery();
}
});
InsertEventWithTimestamp(DateTimeOffset.UtcNow.AddDays(-1));
InsertEventWithTimestamp(DateTimeOffset.UtcNow);
var purge = CreatePurgeService();
purge.RunPurge();
Assert.Equal(2, GetEventCount());
}
[Fact]
public void PurgeByStorageCap_DeletesOldestWhenOverCap()
{
@@ -0,0 +1,158 @@
using Microsoft.Extensions.Logging.Abstractions;
using Microsoft.Extensions.Options;
namespace ZB.MOM.WW.ScadaBridge.SiteEventLogging.Tests;
/// <summary>
/// WP1.7 (arch-review remediation, 2026-08-14): <see cref="SiteEventLogger"/>'s
/// background writer loop must drain its bounded channel into batched transactions
/// (up to <see cref="SiteEventLogger.WriteBatchSize"/> events per commit) instead of
/// committing one transaction per event — mirroring the reference shape in
/// <c>ZB.MOM.WW.ScadaBridge.AuditLog/Site/SqliteAuditWriter.cs</c>
/// (<c>ProcessWriteQueueAsync</c>/<c>FlushBatch</c>).
/// </summary>
public class SiteEventLoggerBatchingTests : IDisposable
{
private readonly SiteEventLogger _logger;
private readonly string _dbPath;
private readonly TestLocalDb _localDb;
public SiteEventLoggerBatchingTests()
{
_dbPath = Path.Combine(Path.GetTempPath(), $"test_batch_{Guid.NewGuid()}.db");
var options = Options.Create(new SiteEventLogOptions { DatabasePath = _dbPath });
_localDb = TestLocalDb.Create(_dbPath);
_logger = new SiteEventLogger(options, NullLogger<SiteEventLogger>.Instance, _localDb.Db);
}
public void Dispose()
{
_logger.Dispose();
_localDb.Dispose();
TestLocalDb.DeleteFiles(_dbPath);
}
[Fact]
public async Task LogEventAsync_SingleEvent_CommitsOneBatch()
{
await _logger.LogEventAsync("script", "Info", null, "Source", "one event");
Assert.Equal(1, _logger.CommittedBatchCount);
}
[Fact]
public async Task ProcessWriteQueue_BurstOfQueuedEvents_CommitsFarFewerBatchesThanEvents()
{
// Deterministically force a large burst of events to be sitting in the
// channel BEFORE the writer loop is free to drain them, so the drain is
// not at the mercy of scheduler timing (the same "hold the connection
// busy" technique SiteEventLoggerAsyncTests uses to prove the caller
// never blocks). While the write lock is held, the writer loop's first
// FlushBatch call blocks trying to acquire it — every event enqueued
// during that window queues up untouched. Once released, the writer
// loop's next iterations greedily TryRead everything already queued
// into batches capped at WriteBatchSize (256), so a burst well above
// that cap must still land in only a handful of transactions.
var busyStarted = new ManualResetEventSlim(false);
var releaseBusy = new ManualResetEventSlim(false);
var busyThread = new Thread(() =>
{
_logger.WithConnection(_ =>
{
busyStarted.Set();
releaseBusy.Wait(TimeSpan.FromSeconds(10));
});
});
busyThread.Start();
Assert.True(busyStarted.Wait(TimeSpan.FromSeconds(5)), "Busy thread did not start.");
// > WriteBatchSize (256) so a correctly batching writer must still take
// at least ceil(burstCount / WriteBatchSize) = 2 post-release batches,
// plus at most one partial batch already blocked on the lock — nowhere
// near burstCount (300) transactions.
const int burstCount = 300;
var tasks = new List<Task>(burstCount);
for (var i = 0; i < burstCount; i++)
{
tasks.Add(_logger.LogEventAsync("script", "Info", null, "Burst", $"event {i}"));
}
releaseBusy.Set();
busyThread.Join(TimeSpan.FromSeconds(10));
await Task.WhenAll(tasks).WaitAsync(TimeSpan.FromSeconds(30));
var batchesUsed = _logger.CommittedBatchCount;
var expectedMax = (long)Math.Ceiling(burstCount / (double)SiteEventLogger.WriteBatchSize) + 1;
Assert.True(batchesUsed <= expectedMax,
$"Expected at most {expectedMax} batch transactions for {burstCount} queued events " +
$"(WriteBatchSize={SiteEventLogger.WriteBatchSize}), but {batchesUsed} were committed — " +
"the writer loop is not batching the drain into few transactions.");
Assert.True(batchesUsed < burstCount,
$"{batchesUsed} batches were committed for {burstCount} events — that is one-transaction-per-event, not batched.");
var count = _logger.WithConnection(connection =>
{
using var cmd = connection.CreateCommand();
cmd.CommandText = "SELECT COUNT(*) FROM site_events";
return (long)cmd.ExecuteScalar()!;
});
Assert.Equal(burstCount, count);
}
[Fact]
public async Task ProcessWriteQueue_BatchFailure_FaultsEveryQueuedEvent_NoneSilentlyDropped()
{
// Batching introduces a risk absent from the old one-transaction-per-event
// shape: a failure could silently drop or under-report events that were
// swept into the same failed batch as the one that actually errored,
// instead of faulting every affected Task and counting every affected
// event in FailedWriteCount. Force a burst to queue up while the writer
// is blocked on the shared lock, then make every subsequent write fail
// (drop the table) before releasing — regardless of how the burst splits
// across batch(es) once released, every queued event's Task must still
// fault and FailedWriteCount must still account for all of them.
var busyStarted = new ManualResetEventSlim(false);
var releaseBusy = new ManualResetEventSlim(false);
var busyThread = new Thread(() =>
{
_logger.WithConnection(connection =>
{
busyStarted.Set();
releaseBusy.Wait(TimeSpan.FromSeconds(10));
// Drop the table while still holding the lock, immediately before
// releasing it, so the burst below (already fully queued during
// the busy window) hits a missing table as ONE batch.
using var cmd = connection.CreateCommand();
cmd.CommandText = "DROP TABLE site_events";
cmd.ExecuteNonQuery();
});
});
busyThread.Start();
Assert.True(busyStarted.Wait(TimeSpan.FromSeconds(5)), "Busy thread did not start.");
const int burstCount = 10;
var tasks = new List<Task>(burstCount);
for (var i = 0; i < burstCount; i++)
{
tasks.Add(_logger.LogEventAsync("script", "Info", null, "Burst", $"event {i}"));
}
releaseBusy.Set();
busyThread.Join(TimeSpan.FromSeconds(10));
// Every event in the batch must fault — none silently "succeeds" while
// its siblings fail, and none is silently dropped.
foreach (var task in tasks)
{
await Assert.ThrowsAnyAsync<Exception>(() => task).WaitAsync(TimeSpan.FromSeconds(10));
}
Assert.True(_logger.FailedWriteCount >= burstCount,
$"Expected FailedWriteCount to account for all {burstCount} events in the rolled-back batch, got {_logger.FailedWriteCount}.");
}
}