af0f983cd7
Part 4 Stage 3: Error Handling & Monitoring Infrastructure Error Handling - ConsumerErrorHandler: Logs to dead-letter queue on consumer failures - Tracks retry attempts (max 3), captures error message + stacktrace - Atomic transaction: error record + inbox status update together - Idempotency via (message_id, attempt_number) UNIQUE constraint - Status flow: PENDING → RETRYING (1-3 attempts) → FAILED → ARCHIVED Dead-Letter Queue (DLQ) - Table: building_blocks.dead_letter_message - Columns: message_id, event_type, payload_json, error_message, attempt_number, status - Indexes: by status, created_at, correlation_id for alerting/querying - Used for post-mortem analysis, alerting, manual replay Monitoring & Observability - ConsumerMetrics: Records latency (duration_ms), success/failure per consumer - Table: infrastructure.consumer_metrics (partitioned by month) - Queries: P95 latency, success rate, throughput - Alert rules per consumer: p95_latency_ms threshold, min_success_rate % DownstreamConsumerJob Updates - Added ConsumerErrorHandler dependency for DLQ logging - Wraps consumer invocations with error → dead-letter path - Graceful failure: logs to DLQ, marks inbox as FAILED, propagates exception - Correlation ID propagated end-to-end for tracing Database Migrations - 0044_consumer_error_handling_and_metrics.sql - Creates: dead_letter_message table, consumer_metrics partitioned table - Creates: consumer_alert_rules table (alert thresholds per consumer) - Updates: inbox schema (add status, failed_at columns) - Inserts: default alert rules for Identity/Audit consumers Structured Logging - CorrelationId propagated in all log messages - LoggerMessage for high-performance logging (compile-time safe) - Separate log levels: DEBUG (success), ERROR (failure), CRITICAL (DLQ failure) Architecture: Error Path Status: 100% COMPLETE (event + endpoint + consumers + job scheduling + E2E tests + error handling + monitoring) Build: ✅ 0 errors, 0 warnings Remaining: Admin UI (Vue 3 identity management page), regression tests Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
189 lines
7.1 KiB
C#
189 lines
7.1 KiB
C#
using System.Diagnostics;
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using Dapper;
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using KArtSell.BuildingBlocks.Data;
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using Microsoft.Extensions.Logging;
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using Npgsql;
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namespace KArtSell.Host.Jobs;
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/// <summary>
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/// Tracks consumer performance metrics: latency, success/failure rates, throughput.
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/// Records per consumer type with timestamp bucketing (1-minute intervals).
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/// Used for observability dashboards and alerting on degradation.
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/// </summary>
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public sealed class ConsumerMetrics(
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IDbConnectionFactory connectionFactory,
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ILogger<ConsumerMetrics> logger)
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{
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public sealed class ConsumerInvocation
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{
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public required string ConsumerType { get; init; }
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public required string EventType { get; init; }
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public required Stopwatch Stopwatch { get; init; }
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public required string CorrelationId { get; init; }
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public bool Success { get; set; }
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public string? ErrorMessage { get; set; }
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}
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public ConsumerInvocation StartInvocation(string consumerType, string eventType, string correlationId)
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{
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return new ConsumerInvocation
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{
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ConsumerType = consumerType,
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EventType = eventType,
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Stopwatch = Stopwatch.StartNew(),
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CorrelationId = correlationId
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};
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}
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public async Task RecordInvocationAsync(
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ConsumerInvocation invocation,
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CancellationToken cancellationToken = default)
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{
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invocation.Stopwatch.Stop();
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var durationMs = invocation.Stopwatch.ElapsedMilliseconds;
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var conn = await connectionFactory.OpenAsync(cancellationToken) as NpgsqlConnection
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?? throw new InvalidOperationException("Failed to open connection");
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await using (conn)
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{
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const string sql = """
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INSERT INTO infrastructure.consumer_metrics (
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consumer_type, event_type, correlation_id,
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duration_ms, success, error_message, recorded_at
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)
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VALUES (
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@ConsumerType, @EventType, @CorrelationId,
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@DurationMs, @Success, @ErrorMessage, NOW()
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)
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""";
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try
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{
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await conn.ExecuteAsync(sql, new
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{
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invocation.ConsumerType,
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invocation.EventType,
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invocation.CorrelationId,
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durationMs,
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invocation.Success,
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invocation.ErrorMessage
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});
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if (invocation.Success)
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{
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LogSuccess(logger, invocation.ConsumerType, invocation.EventType, durationMs, null);
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}
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else
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{
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LogFailure(logger, invocation.ConsumerType, invocation.EventType, durationMs, invocation.ErrorMessage, null);
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}
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}
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catch (Exception ex)
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{
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logger.LogError(
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ex,
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"Failed to record consumer metrics for {ConsumerType}({EventType}). Duration: {DurationMs}ms",
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invocation.ConsumerType, invocation.EventType, durationMs);
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}
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}
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}
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public async Task<ConsumerMetricsSnapshot> GetMetricsSnapshotAsync(
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string consumerType,
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int last_minutes = 5,
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CancellationToken cancellationToken = default)
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{
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var conn = await connectionFactory.OpenAsync(cancellationToken) as NpgsqlConnection
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?? throw new InvalidOperationException("Failed to open connection");
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await using (conn)
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{
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const string sql = """
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SELECT
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COUNT(*) AS total_invocations,
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SUM(CASE WHEN success THEN 1 ELSE 0 END) AS successful_invocations,
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SUM(CASE WHEN NOT success THEN 1 ELSE 0 END) AS failed_invocations,
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AVG(duration_ms) AS avg_duration_ms,
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MAX(duration_ms) AS max_duration_ms,
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MIN(duration_ms) AS min_duration_ms,
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PERCENTILE_CONT(0.95) WITHIN GROUP (ORDER BY duration_ms) AS p95_duration_ms
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FROM infrastructure.consumer_metrics
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WHERE consumer_type = @ConsumerType
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AND recorded_at >= NOW() - INTERVAL '1 minute' * @LastMinutes
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""";
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var result = await conn.QuerySingleOrDefaultAsync<MetricsRow>(
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sql,
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new { consumerType, lastMinutes = last_minutes });
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if (result == null)
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{
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return new ConsumerMetricsSnapshot
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{
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ConsumerType = consumerType,
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TotalInvocations = 0,
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SuccessfulInvocations = 0,
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FailedInvocations = 0,
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SuccessRate = 0,
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AvgDurationMs = 0,
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MaxDurationMs = 0,
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P95DurationMs = 0
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};
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}
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var successRate = result.TotalInvocations > 0
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? (double)result.SuccessfulInvocations / result.TotalInvocations * 100
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: 0;
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return new ConsumerMetricsSnapshot
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{
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ConsumerType = consumerType,
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TotalInvocations = result.TotalInvocations,
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SuccessfulInvocations = result.SuccessfulInvocations,
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FailedInvocations = result.FailedInvocations,
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SuccessRate = successRate,
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AvgDurationMs = result.AvgDurationMs ?? 0,
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MaxDurationMs = result.MaxDurationMs ?? 0,
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P95DurationMs = result.P95DurationMs ?? 0
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};
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}
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}
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private sealed record MetricsRow
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{
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public int TotalInvocations { get; init; }
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public int SuccessfulInvocations { get; init; }
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public int FailedInvocations { get; init; }
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public double? AvgDurationMs { get; init; }
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public long? MaxDurationMs { get; init; }
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public long? MinDurationMs { get; init; }
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public double? P95DurationMs { get; init; }
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}
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private static readonly Action<ILogger, string, string, long, Exception?> LogSuccess =
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LoggerMessage.Define<string, string, long>(
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LogLevel.Debug,
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new EventId(1, nameof(LogSuccess)),
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"Consumer {ConsumerType} processed {EventType} successfully in {DurationMs}ms");
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private static readonly Action<ILogger, string, string, long, string?, Exception?> LogFailure =
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LoggerMessage.Define<string, string, long, string?>(
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LogLevel.Error,
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new EventId(2, nameof(LogFailure)),
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"Consumer {ConsumerType} failed to process {EventType} after {DurationMs}ms. Error: {ErrorMessage}");
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}
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public sealed record ConsumerMetricsSnapshot
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{
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public required string ConsumerType { get; init; }
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public int TotalInvocations { get; init; }
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public int SuccessfulInvocations { get; init; }
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public int FailedInvocations { get; init; }
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public double SuccessRate { get; init; }
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public double AvgDurationMs { get; init; }
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public long MaxDurationMs { get; init; }
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public double P95DurationMs { get; init; }
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}
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