run test on phase 24 and 33
This commit is contained in:
voltsrage
@@ -0,0 +1,20 @@
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using FluentAssertions;
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using Microsoft.Extensions.DependencyInjection;
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[Collection("Integration")]
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public class DlqRoutingTests
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{
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private readonly ApiFixture _fixture;
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public DlqRoutingTests(ApiFixture fixture) => _fixture = fixture;
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[Fact]
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public async Task PagingDlq_TtlDeadLettersToEscalationQueue()
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{
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using var scope = _fixture.Services.CreateScope();
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var opts = scope.ServiceProvider.GetRequiredService<Microsoft.Extensions.Options.IOptions<RabbitMqOptions>>();
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var routed = await DlqRoutingProbe.DlqTtlRoutesToEscalationQueueAsync(opts);
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routed.Should().BeTrue("DLQ x-message-ttl should dead-letter to alerts.escalation.queue");
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}
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}
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@@ -25,6 +25,9 @@ public class ApiFixture : WebApplicationFactory<Program>, IAsyncLifetime
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["RabbitMq:Username"] = "guest",
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["RabbitMq:Password"] = "guest",
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["RabbitMq:PagingAckTimeoutMs"] = "5000",
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["RabbitMq:VirtualHost"] = "vigilcare_test",
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["Kafka:NotificationPublisherGroupId"] = "notification-publisher-integration-test",
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["Kafka:NotificationPublisherAutoOffsetReset"] = "Latest",
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["Fhir:ApiKey"] = "dev-integration-key-change-in-production",
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["ApiKey:Gateway"] = GatewayAuthHelper.DevGatewayKey,
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});
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@@ -59,6 +62,15 @@ public class ApiFixture : WebApplicationFactory<Program>, IAsyncLifetime
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await DbResetHelper.ResetAsync(migrateDb);
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}
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await RabbitMqTestHelper.EnsureVirtualHostAsync(new RabbitMqOptions
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{
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Host = "localhost",
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Port = 5674,
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Username = "guest",
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Password = "guest",
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VirtualHost = "vigilcare_test",
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});
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using var scope = Services.CreateScope();
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var redis = scope.ServiceProvider.GetRequiredService<IConnectionMultiplexer>();
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var server = redis.GetServer(redis.GetEndPoints().First());
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@@ -0,0 +1,52 @@
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using System.Text;
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using FluentAssertions;
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using Microsoft.Extensions.Options;
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using RabbitMQ.Client;
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public static class DlqRoutingProbe
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{
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public static async Task<bool> DlqTtlRoutesToEscalationQueueAsync(IOptions<RabbitMqOptions> opts)
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{
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var o = opts.Value;
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var factory = RabbitMqConnectionFactory.Create(o);
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using var connection = factory.CreateConnection("dlq-routing-probe");
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using var channel = connection.CreateModel();
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RabbitMqTestHelper.PurgeNotificationQueues(opts);
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var body = Encoding.UTF8.GetBytes(
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"""{"alertId":"00000000-0000-0000-0000-000000000099","encounterId":"00000000-0000-0000-0000-000000000088"}""");
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channel.BasicPublish(
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exchange: "",
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routingKey: "alerts.paging.dlq",
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basicProperties: null,
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body: body);
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var dlqHasMessage = false;
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for (var i = 0; i < 20; i++)
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{
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await Task.Delay(250);
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var dlq = channel.QueueDeclarePassive("alerts.paging.dlq");
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if (dlq.MessageCount > 0)
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{
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dlqHasMessage = true;
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break;
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}
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}
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dlqHasMessage.Should().BeTrue("probe message should land in alerts.paging.dlq");
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var deadline = DateTimeOffset.UtcNow.AddSeconds(15);
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while (DateTimeOffset.UtcNow < deadline)
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{
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await Task.Delay(500);
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var dlq = channel.QueueDeclarePassive("alerts.paging.dlq");
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if (dlq.MessageCount == 0)
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return true;
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}
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return false;
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}
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}
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@@ -1,21 +1,56 @@
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using FluentAssertions;
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using Microsoft.Extensions.Options;
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using RabbitMQ.Client;
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using RabbitMQ.Client.Exceptions;
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using System.Net.Http.Headers;
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using System.Text;
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using System.Text.Json;
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public static class RabbitMqTestHelper
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{
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private static readonly string[] NotificationQueues =
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[
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"alerts.paging.queue",
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"alerts.paging.dlq",
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"alerts.escalation.queue",
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];
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/// <summary>
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/// Creates the configured virtual host and grants the test user full access.
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/// Integration tests use a dedicated vhost so a concurrently running dev API
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/// on the default "/" vhost cannot steal paging messages or recreate the DLQ TTL.
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/// </summary>
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public static async Task EnsureVirtualHostAsync(RabbitMqOptions o)
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{
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if (string.IsNullOrEmpty(o.VirtualHost) || o.VirtualHost == "/")
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return;
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using var http = new HttpClient();
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var credentials = Convert.ToBase64String(Encoding.UTF8.GetBytes($"{o.Username}:{o.Password}"));
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http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Basic", credentials);
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var mgmtBase = $"http://{o.Host}:{o.Port + 10000}";
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var vhost = Uri.EscapeDataString(o.VirtualHost);
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using var create = await http.PutAsync($"{mgmtBase}/api/vhosts/{vhost}", null);
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create.EnsureSuccessStatusCode();
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var permissions = JsonSerializer.Serialize(new
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{
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configure = ".*",
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write = ".*",
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read = ".*",
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});
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using var grant = await http.PutAsync(
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$"{mgmtBase}/api/permissions/{vhost}/{Uri.EscapeDataString(o.Username)}",
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new StringContent(permissions, Encoding.UTF8, "application/json"));
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grant.EnsureSuccessStatusCode();
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}
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public static void PurgeNotificationQueues(IOptions<RabbitMqOptions> opts)
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{
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var o = opts.Value;
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var factory = new ConnectionFactory
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{
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HostName = o.Host,
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Port = o.Port,
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UserName = o.Username,
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Password = o.Password,
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};
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using var connection = factory.CreateConnection("test-queue-purge");
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using var connection = CreateConnection(o, "test-queue-purge");
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using var channel = connection.CreateModel();
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// x-message-ttl is immutable once the queue exists. A concurrently running dev API
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@@ -36,6 +71,67 @@ public static class RabbitMqTestHelper
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}
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}
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/// <summary>
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/// Waits for stale alert.generated Kafka messages to finish the paging → DLQ → escalation
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/// cycle. Purging alone is not enough: NotificationPublisher keeps republishing backlog
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/// after the purge, and prefetch=1 leaves one in-flight page ahead of the test alert.
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/// </summary>
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public static async Task WaitForNotificationPipelineIdleAsync(
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IOptions<RabbitMqOptions> opts,
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TimeSpan maxWait)
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{
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var o = opts.Value;
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// One full cycle: paging timeout + DLQ TTL + worker margin.
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var settle = TimeSpan.FromMilliseconds(o.PagingAckTimeoutMs * 2 + 10_000);
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var deadline = DateTimeOffset.UtcNow.Add(maxWait);
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DateTimeOffset? lastBusy = null;
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while (DateTimeOffset.UtcNow < deadline)
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{
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if (!AreReadyQueuesEmpty(o))
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{
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lastBusy = DateTimeOffset.UtcNow;
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await Task.Delay(500);
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continue;
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}
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lastBusy ??= DateTimeOffset.UtcNow;
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if (DateTimeOffset.UtcNow - lastBusy.Value >= settle)
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return;
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await Task.Delay(500);
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}
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}
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private static bool AreReadyQueuesEmpty(RabbitMqOptions o)
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{
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using var connection = CreateConnection(o, "test-queue-idle-check");
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using var channel = connection.CreateModel();
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foreach (var queue in NotificationQueues)
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{
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try
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{
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var stats = channel.QueueDeclarePassive(queue);
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if (stats.MessageCount > 0)
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return false;
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}
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catch (OperationInterruptedException)
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{
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// Queue may not exist yet on a cold broker.
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}
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}
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return true;
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}
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private static ConnectionFactory CreateFactory(RabbitMqOptions o) =>
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RabbitMqConnectionFactory.Create(o);
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private static IConnection CreateConnection(RabbitMqOptions o, string name) =>
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CreateFactory(o).CreateConnection(name);
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private static void RecreatePagingDlq(IModel channel, int pagingAckTimeoutMs)
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{
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const string dlq = "alerts.paging.dlq";
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@@ -85,13 +85,22 @@ public class NotificationPipelineTests : IAsyncLifetime
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[Fact]
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public async Task CriticalAlert_Unacknowledged_EscalatesAfterTimeout()
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{
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using (var scope = _fixture.Services.CreateScope())
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{
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var rabbitOpts = scope.ServiceProvider.GetRequiredService<IOptions<RabbitMqOptions>>();
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RabbitMqTestHelper.PurgeNotificationQueues(rabbitOpts);
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await RabbitMqTestHelper.WaitForNotificationPipelineIdleAsync(
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rabbitOpts, TimeSpan.FromSeconds(90));
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RabbitMqTestHelper.PurgeNotificationQueues(rabbitOpts);
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}
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var encounterId = await CreateActiveEncounterAsync();
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var alertId = await IngestCriticalPotassiumAsync(encounterId);
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// paging worker (≤6s) → DLQ (5s TTL) → escalation worker.
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// Poll instead of a fixed sleep: earlier tests may leave paging jobs queued
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// (prefetch=1), so wall-clock time varies across the full integration suite.
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var deadline = DateTimeOffset.UtcNow.AddSeconds(60);
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var perAlertCycle = TimeSpan.FromMilliseconds(
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_fixture.Services.GetRequiredService<IOptions<RabbitMqOptions>>().Value.PagingAckTimeoutMs * 2 + 12_000);
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var deadline = DateTimeOffset.UtcNow.Add(perAlertCycle);
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AlertStatus status;
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do
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{
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@@ -1,15 +0,0 @@
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[Collection("Integration")]
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public class RabbitMqOptionsTests
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{
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private readonly ApiFixture _fixture;
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public RabbitMqOptionsTests(ApiFixture fixture) => _fixture = fixture;
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[Fact]
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public void PagingAckTimeoutMs_IsConfiguredForIntegrationTests()
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{
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using var scope = _fixture.Services.CreateScope();
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var opts = scope.ServiceProvider.GetRequiredService<Microsoft.Extensions.Options.IOptions<RabbitMqOptions>>().Value;
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opts.PagingAckTimeoutMs.Should().Be(5000);
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}
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}
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@@ -24,14 +24,7 @@ public sealed class ClinicalSyncBatchConsumer : BackgroundService
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{
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await Task.Delay(TimeSpan.FromSeconds(5), stoppingToken);
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var factory = new ConnectionFactory
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{
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HostName = _rabbitOpts.Host,
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Port = _rabbitOpts.Port,
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UserName = _rabbitOpts.Username,
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Password = _rabbitOpts.Password,
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DispatchConsumersAsync = true
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};
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var factory = RabbitMqConnectionFactory.Create(_rabbitOpts, dispatchConsumersAsync: true);
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using var connection = factory.CreateConnection("clinical-sync-consumer");
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using var channel = connection.CreateModel();
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+1
-8
@@ -30,14 +30,7 @@ public sealed class DischargeSummaryWorkerService : BackgroundService
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await Task.Delay(TimeSpan.FromSeconds(5), stoppingToken);
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var o = _rabbitOpts.Value;
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var factory = new ConnectionFactory
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{
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HostName = o.Host,
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Port = o.Port,
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UserName = o.Username,
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Password = o.Password,
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DispatchConsumersAsync = true,
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};
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var factory = RabbitMqConnectionFactory.Create(o, dispatchConsumersAsync: true);
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using var connection = factory.CreateConnection("discharge-summary-worker");
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using var channel = connection.CreateModel();
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@@ -29,14 +29,7 @@ public sealed class EscalationWorkerService : BackgroundService
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await Task.Delay(TimeSpan.FromSeconds(5), stoppingToken);
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var o = _opts.Value;
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var factory = new ConnectionFactory
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{
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HostName = o.Host,
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Port = o.Port,
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UserName = o.Username,
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Password = o.Password,
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DispatchConsumersAsync = true,
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};
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var factory = RabbitMqConnectionFactory.Create(o, dispatchConsumersAsync: true);
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using var connection = factory.CreateConnection("escalation-worker");
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using var channel = connection.CreateModel();
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+4
-10
@@ -38,8 +38,9 @@ public sealed class NotificationPublisherService : BackgroundService
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var consumerConfig = new ConsumerConfig
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{
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BootstrapServers = _kafkaOptions.BootstrapServers,
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GroupId = "notification-publisher",
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AutoOffsetReset = AutoOffsetReset.Earliest,
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GroupId = _kafkaOptions.NotificationPublisherGroupId,
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AutoOffsetReset = Enum.Parse<AutoOffsetReset>(
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_kafkaOptions.NotificationPublisherAutoOffsetReset, ignoreCase: true),
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EnableAutoCommit = false,
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};
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@@ -163,13 +164,6 @@ public sealed class NotificationPublisherService : BackgroundService
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private IConnectionFactory BuildRabbitFactory()
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{
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var o = _rabbitOpts.Value;
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return new ConnectionFactory
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{
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HostName = o.Host,
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Port = o.Port,
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UserName = o.Username,
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Password = o.Password,
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DispatchConsumersAsync = true,
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};
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return RabbitMqConnectionFactory.Create(o, dispatchConsumersAsync: true);
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}
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}
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@@ -27,14 +27,7 @@ public sealed class PagingWorkerService : BackgroundService
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await Task.Delay(TimeSpan.FromSeconds(5), stoppingToken); // wait for topology
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var o = _opts.Value;
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var factory = new ConnectionFactory
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{
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HostName = o.Host,
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Port = o.Port,
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UserName = o.Username,
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Password = o.Password,
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DispatchConsumersAsync = true,
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};
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var factory = RabbitMqConnectionFactory.Create(o, dispatchConsumersAsync: true);
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using var connection = factory.CreateConnection("paging-worker");
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using var channel = connection.CreateModel();
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@@ -45,14 +45,7 @@ public class OutboxRelayService : BackgroundService
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RetryBackoffMs = 100
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}).Build();
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var factory = new ConnectionFactory
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{
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HostName = _rabbitOpts.Host,
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Port = _rabbitOpts.Port,
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UserName = _rabbitOpts.Username,
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Password = _rabbitOpts.Password,
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DispatchConsumersAsync = true,
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};
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var factory = RabbitMqConnectionFactory.Create(_rabbitOpts);
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_rabbitConnection = factory.CreateConnection("outbox-relay");
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_rabbitChannel = _rabbitConnection.CreateModel();
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_rabbitProps = _rabbitChannel.CreateBasicProperties();
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@@ -23,13 +23,7 @@ public sealed class ReconciliationPublisher : IReconciliationPublisher
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public Task PublishAsync(ReconciliationAlert alert, CancellationToken ct)
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{
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var factory = new ConnectionFactory
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{
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HostName = _opts.Host,
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Port = _opts.Port,
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UserName = _opts.Username,
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Password = _opts.Password,
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};
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var factory = RabbitMqConnectionFactory.Create(_opts);
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using var connection = factory.CreateConnection("reconciliation-publisher");
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using var channel = connection.CreateModel();
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@@ -9,4 +9,6 @@ public class KafkaOptions
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public int OutboxPollIntervalMs { get; set; } = 500;
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public int OutboxMaxRetries { get; set; } = 10;
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public int MaxPoisonRetries { get; set; } = 5;
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public string NotificationPublisherGroupId { get; set; } = "notification-publisher";
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public string NotificationPublisherAutoOffsetReset { get; set; } = "Earliest";
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}
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@@ -5,6 +5,7 @@ public sealed class RabbitMqOptions
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public int Port { get; init; } = 5674;
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public string Username { get; init; } = "guest";
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public string Password { get; init; } = "guest";
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public string VirtualHost { get; init; } = "/";
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// Drives both the paging worker poll timeout and the DLQ x-message-ttl.
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// In production: 300000 (5 min). In tests: 5000 (5 sec).
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public int PagingAckTimeoutMs { get; init; } = 300000;
|
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@@ -11,13 +11,7 @@ public sealed class RabbitMqHealthCheck : IHealthCheck
|
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public async Task<HealthCheckResult> CheckHealthAsync(
|
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HealthCheckContext context, CancellationToken cancellationToken = default)
|
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{
|
||||
var factory = new ConnectionFactory
|
||||
{
|
||||
HostName = _options.Host,
|
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Port = _options.Port,
|
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UserName = _options.Username,
|
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Password = _options.Password
|
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};
|
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var factory = RabbitMqConnectionFactory.Create(_options);
|
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using var connection = await Task.Run(() => factory.CreateConnection(), cancellationToken);
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var data = new Dictionary<string, object> { ["endpoint"] = connection.Endpoint.ToString() };
|
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|
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@@ -0,0 +1,14 @@
|
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using RabbitMQ.Client;
|
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|
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public static class RabbitMqConnectionFactory
|
||||
{
|
||||
public static ConnectionFactory Create(RabbitMqOptions o, bool dispatchConsumersAsync = false) => new()
|
||||
{
|
||||
HostName = o.Host,
|
||||
Port = o.Port,
|
||||
UserName = o.Username,
|
||||
Password = o.Password,
|
||||
VirtualHost = o.VirtualHost,
|
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DispatchConsumersAsync = dispatchConsumersAsync,
|
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};
|
||||
}
|
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@@ -171,12 +171,6 @@ public sealed class RabbitMqTopologyProvisioner : IHostedService
|
||||
}
|
||||
}
|
||||
|
||||
public IConnectionFactory BuildFactory() => new ConnectionFactory
|
||||
{
|
||||
HostName = _opts.Host,
|
||||
Port = _opts.Port,
|
||||
UserName = _opts.Username,
|
||||
Password = _opts.Password,
|
||||
DispatchConsumersAsync = true,
|
||||
};
|
||||
public IConnectionFactory BuildFactory() =>
|
||||
RabbitMqConnectionFactory.Create(_opts, dispatchConsumersAsync: true);
|
||||
}
|
||||
@@ -11,7 +11,12 @@
|
||||
{ "Name": "Console" }
|
||||
]
|
||||
},
|
||||
"Kafka": {
|
||||
"NotificationPublisherGroupId": "notification-publisher-integration-test",
|
||||
"NotificationPublisherAutoOffsetReset": "Latest"
|
||||
},
|
||||
"RabbitMq": {
|
||||
"VirtualHost": "vigilcare_test",
|
||||
"PagingAckTimeoutMs": 5000
|
||||
},
|
||||
"DataLake": {
|
||||
|
||||
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"experiment": "ack-before-alert-in-batch",
|
||||
"timestamp": "2026-06-24T04:19:00Z",
|
||||
"testClass": "ClinicalSyncBatchTests",
|
||||
"testMethod": "Processor_ConflictOnAckBeforeAlert",
|
||||
"gatewayId": "22222222-2222-2222-2222-222222222222",
|
||||
"batchOrdering": "acknowledgment before alert event",
|
||||
"notes": "Pre-test baseline — integration fixture ready; batch will contain ack-only items with no preceding alert"
|
||||
}
|
||||
@@ -0,0 +1,42 @@
|
||||
# Experiment: Ack Before Alert in Batch
|
||||
Date: 2026-06-24
|
||||
Phase: 24 — Climate Resilience Verification
|
||||
|
||||
## 1. Hypothesis
|
||||
If I upload a sync batch containing an alert acknowledgment before the corresponding
|
||||
alert event, I expect the batch processor to record **CONFLICT** with reason
|
||||
`ALERT_NOT_YET_SYNCED`, because clinical sync enforces temporal ordering dependencies.
|
||||
|
||||
## 2. Baseline
|
||||
- Test: `ClinicalSyncBatchTests.Processor_ConflictOnAckBeforeAlert`
|
||||
- Batch contains: `SyncedAlertAcknowledgment` only (no matching `SyncedAlertEvent`)
|
||||
- Client alert id: newly generated Guid
|
||||
|
||||
## 3. Break
|
||||
```bash
|
||||
dotnet test VigilCareClinicalAPI.Tests \
|
||||
--filter "FullyQualifiedName~ClinicalSyncBatchTests.Processor_ConflictOnAckBeforeAlert"
|
||||
```
|
||||
|
||||
Batch payload (wrong order):
|
||||
```csharp
|
||||
new ClinicalSyncBatchRequest(batchRef, gatewayId, siteId, capturedAt,
|
||||
observations: [],
|
||||
alertEvents: [],
|
||||
alertAcknowledgments: [new SyncedAlertAcknowledgment(..., clientAlertId, "RN-Smith", ...)],
|
||||
alertResolutions: []);
|
||||
```
|
||||
|
||||
## 4. Observe
|
||||
- Batch uploaded successfully (HTTP 201)
|
||||
- After `ProcessBatchAsync`: batch status = **CONFLICT**
|
||||
- Conflicts collection contains single entry with `ConflictReason: ALERT_NOT_YET_SYNCED`
|
||||
- Test result: **Passed** (309 ms)
|
||||
- No alert row created from premature ack
|
||||
|
||||
## 5. Fix / Outcome
|
||||
- Bug found? **no** — conflict is the correct server-authoritative response
|
||||
- Fix applied: no fix needed — reorder and re-upload in a new batch (see plan Step 3 for full reorder test)
|
||||
|
||||
## 6. Verify
|
||||
(Conflict assertions captured in `2026-06-24-ack-before-alert-fixed.json`)
|
||||
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"experiment": "ack-before-alert-in-batch",
|
||||
"timestamp": "2026-06-24T04:19:00Z",
|
||||
"testClass": "ClinicalSyncBatchTests",
|
||||
"testMethod": "Processor_ConflictOnAckBeforeAlert",
|
||||
"testResult": "Passed",
|
||||
"durationMs": 309,
|
||||
"batchStatus": "CONFLICT",
|
||||
"conflictReason": "ALERT_NOT_YET_SYNCED",
|
||||
"conflictCount": 1,
|
||||
"notes": "Premature ack rejected with ordering conflict; gateway must re-upload alert then ack in correct order"
|
||||
}
|
||||
@@ -0,0 +1,7 @@
|
||||
Clinical sync correctly rejects out-of-order acknowledgments: when an ack arrives before
|
||||
its alert event, the batch processor marks the batch CONFLICT with `ALERT_NOT_YET_SYNCED`
|
||||
rather than silently creating orphan ack rows. This differs from POS inventory sync where
|
||||
ordering is less critical — in clinical workflows, temporal dependencies matter for audit
|
||||
trails and paging attribution. The integration test passed in 309 ms. A follow-up reorder
|
||||
retry (alert then ack in a new batch → APPLIED) is specified in Phase 24 Step 3
|
||||
`ClimateResilienceTests` for full end-to-end coverage.
|
||||
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"experiment": "central-api-down-30min",
|
||||
"timestamp": "2026-06-24T04:06:00Z",
|
||||
"encounterId": "0f81a139-9f33-47ad-9df9-09c7a6c011c8",
|
||||
"gatewayStatus": "ONLINE",
|
||||
"gatewayBufferDepth": 0,
|
||||
"centralObservationCount": 7,
|
||||
"scenario": "ward-outage-reconnect-01",
|
||||
"notes": "Pre-outage baseline after Phase A central replay — gateway heartbeat ONLINE, buffer empty, encounter replicated to ward gateway"
|
||||
}
|
||||
@@ -0,0 +1,49 @@
|
||||
# Experiment: Central API Down 30 Minutes
|
||||
Date: 2026-06-24
|
||||
Phase: 24 — Climate Resilience Verification
|
||||
|
||||
## 1. Hypothesis
|
||||
If I stop the central API while the ward gateway continues running and replay
|
||||
`ward-outage-reconnect-01` against the gateway, I expect critical potassium
|
||||
observations to alert locally on the gateway with zero new rows on central,
|
||||
because Tier 1 safety is ward-local and sync is deferred until reconnect.
|
||||
|
||||
## 2. Baseline
|
||||
- Encounter: `0f81a139-9f33-47ad-9df9-09c7a6c011c8`
|
||||
- Gateway status: ONLINE
|
||||
- Gateway buffer depth: 0
|
||||
- Central observation count (encounter): 7 (Phase A replay complete)
|
||||
|
||||
## 3. Break
|
||||
```bash
|
||||
SKIP_DOCKER=1 ./scripts/run-phase24-verification.sh
|
||||
# Internally: pkill central VigilCareClinicalAPI process, wait ~35s for gateway
|
||||
# to detect central unreachable, then replay scenario against gateway.
|
||||
```
|
||||
|
||||
Manual equivalent:
|
||||
```bash
|
||||
pkill -f VigilCareClinicalAPI
|
||||
sleep 35
|
||||
dotnet run --project VigilCare.Simulator -- replay \
|
||||
VigilCare.Simulator/Scenarios/List/ward-outage-reconnect-01.json \
|
||||
--gateway --encounter-id 0f81a139-9f33-47ad-9df9-09c7a6c011c8 \
|
||||
--gateway-token "$GATEWAY_JWT" --speed 0
|
||||
```
|
||||
|
||||
## 4. Observe
|
||||
- Gateway created `CriticalPotassiumMeqL` alert at scenario T+45 min (K+ 6.8 mEq/L)
|
||||
- RN-Wu ack recorded locally at T+50 min (`status: Acknowledged`, `acknowledgedBy: RN-Wu`)
|
||||
- Central API unreachable during outage — no new central observations ingested
|
||||
- Gateway buffer depth (unsynced `buffered_sync_items`): **10**
|
||||
- Phase B replay sent 7 observations, 1 critical alert, 1 ack (plus warning-tier alert)
|
||||
- Gateway local alerts after Phase B:
|
||||
- `CriticalPotassiumMeqL` — Acknowledged by RN-Wu
|
||||
- `WarningPotassiumMeqL` — Open
|
||||
|
||||
## 5. Fix / Outcome
|
||||
- Bug found? **no** — behavior matches design (local Tier 1 path + deferred sync)
|
||||
- Fix applied: no fix needed — by design
|
||||
|
||||
## 6. Verify
|
||||
(Post-reconnect results captured in `2026-06-24-central-down-fixed.json`)
|
||||
@@ -0,0 +1,21 @@
|
||||
{
|
||||
"experiment": "central-api-down-30min",
|
||||
"timestamp": "2026-06-24T04:08:30Z",
|
||||
"encounterId": "0f81a139-9f33-47ad-9df9-09c7a6c011c8",
|
||||
"gatewayStatus": "ONLINE",
|
||||
"gatewayBufferDepth": 0,
|
||||
"reportedBufferDepth": 0,
|
||||
"centralObservationCount": 14,
|
||||
"centralAlertCount": 1,
|
||||
"syncedCriticalAlert": {
|
||||
"alertType": "CriticalPotassiumMeqL",
|
||||
"status": "Acknowledged",
|
||||
"acknowledgedBy": "RN-Wu",
|
||||
"syncedFromGateway": true
|
||||
},
|
||||
"centralAlertAcknowledged": true,
|
||||
"duplicatePagingEvents": 0,
|
||||
"syncBatchesApplied": 10,
|
||||
"verificationScript": "scripts/run-phase24-verification.sh",
|
||||
"notes": "After central restart + sync drain — 7 Phase A observations plus 7 gateway-synced observations; critical alert and RN-Wu ack reconciled on central with syncedFromGateway=true; buffer depth returned to 0"
|
||||
}
|
||||
@@ -0,0 +1,11 @@
|
||||
Tier 1 invariants held on live run 2026-06-24: the observe-alert-acknowledge loop for
|
||||
critical hyperkalemia (K+ 6.8 mEq/L) completed entirely on the ward gateway while the
|
||||
central API was stopped. Ten sync items buffered locally during the outage; central
|
||||
received no new observations until reconnect. After central restart, `SyncUploaderService`
|
||||
drained the buffer within the 180s verification window — gateway reported buffer depth 0,
|
||||
and central showed the critical alert with `acknowledgedBy: RN-Wu` and
|
||||
`syncedFromGateway: true`. Central paging was suppressed for the gateway-synced alert
|
||||
(no duplicate critical pages). The run used instant replay (`--speed 0`) rather than a
|
||||
full 30-minute wall-clock outage, but the architectural property — ward-local safety
|
||||
with deferred idempotent reconciliation — was demonstrated end-to-end via
|
||||
`run-phase24-verification.sh`.
|
||||
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"experiment": "duplicate-batch-re-upload",
|
||||
"timestamp": "2026-06-24T04:19:00Z",
|
||||
"testClass": "ClinicalSyncBatchTests",
|
||||
"testMethod": "DuplicateBatchReference_ReturnsExisting",
|
||||
"gatewayId": "22222222-2222-2222-2222-222222222222",
|
||||
"batchReferenceStrategy": "same Guid posted twice",
|
||||
"expectedBatchRowsInDb": 1,
|
||||
"notes": "Pre-test baseline — isolated integration fixture with seeded gateway registry and active encounter"
|
||||
}
|
||||
@@ -0,0 +1,34 @@
|
||||
# Experiment: Duplicate Batch Re-upload
|
||||
Date: 2026-06-24
|
||||
Phase: 24 — Climate Resilience Verification
|
||||
|
||||
## 1. Hypothesis
|
||||
If I POST the same `batchReference` twice to `/api/v1/sync/batches`, I expect the
|
||||
second request to return the existing batch id with only one row in
|
||||
`clinical_sync_batches`, because batch reference is the idempotency key for gateway sync.
|
||||
|
||||
## 2. Baseline
|
||||
- Test: `ClinicalSyncBatchTests.DuplicateBatchReference_ReturnsExisting`
|
||||
- Fixture: `ApiFixture` with `GatewayRegistrySeeder` and active encounter
|
||||
- Gateway auth: `X-Api-Key` + `X-Gateway-Id`
|
||||
|
||||
## 3. Break
|
||||
```bash
|
||||
dotnet test VigilCareClinicalAPI.Tests \
|
||||
--filter "FullyQualifiedName~ClinicalSyncBatchTests.DuplicateBatchReference_ReturnsExisting"
|
||||
```
|
||||
|
||||
The test posts identical `ClinicalSyncBatchRequest` (same `batchReference`) twice.
|
||||
|
||||
## 4. Observe
|
||||
- First POST: HTTP 201 Created, returns `batchId`
|
||||
- Second POST: returns **same** `batchId` as first response
|
||||
- Database: exactly **1** row in `clinical_sync_batches` for that `batchReference`
|
||||
- Test result: **Passed** (702 ms)
|
||||
|
||||
## 5. Fix / Outcome
|
||||
- Bug found? **no**
|
||||
- Fix applied: no fix needed — by design
|
||||
|
||||
## 6. Verify
|
||||
(Assertions captured in `2026-06-24-duplicate-batch-fixed.json`)
|
||||
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"experiment": "duplicate-batch-re-upload",
|
||||
"timestamp": "2026-06-24T04:19:00Z",
|
||||
"testClass": "ClinicalSyncBatchTests",
|
||||
"testMethod": "DuplicateBatchReference_ReturnsExisting",
|
||||
"testResult": "Passed",
|
||||
"durationMs": 702,
|
||||
"secondBatchIdEqualsFirst": true,
|
||||
"clinicalSyncBatchRowsForReference": 1,
|
||||
"notes": "Duplicate POST returned existing batch id; no duplicate batch rows created"
|
||||
}
|
||||
@@ -0,0 +1,6 @@
|
||||
Batch reference idempotency works as specified: replaying the same gateway sync payload
|
||||
does not create a second batch row or re-process observations. This is the clinical
|
||||
equivalent of POS offline sync deduplication and protects against network retries after
|
||||
partial ACK. The integration test `DuplicateBatchReference_ReturnsExisting` passed in
|
||||
702 ms, giving CI-guaranteed evidence for interview demos without requiring a manual
|
||||
chaos run.
|
||||
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"experiment": "gateway-restart-with-buffer",
|
||||
"timestamp": "2026-06-24T04:21:00Z",
|
||||
"encounterId": "0f81a139-9f33-47ad-9df9-09c7a6c011c8",
|
||||
"gatewayStatus": "ONLINE",
|
||||
"gatewayBufferDepth": 2,
|
||||
"centralApiStatus": "stopped",
|
||||
"notes": "Pre-restart baseline — central API stopped, 3 new observations posted to gateway, 5 total unsynced buffer items"
|
||||
}
|
||||
@@ -0,0 +1,35 @@
|
||||
# Experiment: Gateway Restart With Buffer
|
||||
Date: 2026-06-24
|
||||
Phase: 24 — Climate Resilience Verification
|
||||
|
||||
## 1. Hypothesis
|
||||
If I restart the ward gateway API container while unsynced items remain in
|
||||
`buffered_sync_items`, I expect the buffer count to survive the restart unchanged,
|
||||
because persistence lives in gateway PostgreSQL, not the container process.
|
||||
|
||||
## 2. Baseline
|
||||
- Encounter: `0f81a139-9f33-47ad-9df9-09c7a6c011c8`
|
||||
- Central API: stopped (simulated uplink loss)
|
||||
- Observations posted to gateway: 3 (HR 142, SpO2 91%, Temp 38.2°C)
|
||||
- Unsynced buffer count: **5** (includes prior buffered items from earlier experiments)
|
||||
|
||||
## 3. Break
|
||||
```bash
|
||||
# Central already stopped
|
||||
docker restart $(docker ps -qf name=ward-gateway-api)
|
||||
# Wait ~35s for gateway health checks
|
||||
```
|
||||
|
||||
## 4. Observe
|
||||
- Gateway container restarted successfully
|
||||
- Unsynced buffer count **before restart: 5**
|
||||
- Unsynced buffer count **after restart: 5** (unchanged)
|
||||
- No buffered rows lost from gateway PostgreSQL
|
||||
- Gateway `/health/ready` returned Healthy after ~35s
|
||||
|
||||
## 5. Fix / Outcome
|
||||
- Bug found? **no**
|
||||
- Fix applied: no fix needed — by design (buffer in ward DB)
|
||||
|
||||
## 6. Verify
|
||||
(Post-sync results in `2026-06-24-gateway-restart-buffer-fixed.json`)
|
||||
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"experiment": "gateway-restart-with-buffer",
|
||||
"timestamp": "2026-06-24T04:25:00Z",
|
||||
"encounterId": "0f81a139-9f33-47ad-9df9-09c7a6c011c8",
|
||||
"idempotencyPrefix": "gateway-restart-exp6-1782246096",
|
||||
"bufferBeforeRestart": 5,
|
||||
"bufferAfterRestart": 5,
|
||||
"bufferAfterCentralSync": 0,
|
||||
"observationsSyncedToCentral": 3,
|
||||
"centralRestartWaitSeconds": 120,
|
||||
"notes": "Buffer survived gateway container restart; after central API restart all 3 new observations synced and buffer drained to 0"
|
||||
}
|
||||
@@ -0,0 +1,7 @@
|
||||
Gateway restart did not erase the sync backlog: unsynced `buffered_sync_items` count
|
||||
remained at 5 through the container restart because the ward PostgreSQL database is
|
||||
independent of the API process lifecycle. After central API was restarted, sync resumed
|
||||
automatically — all three experiment observations (`gateway-restart-exp6-1782246096-*`)
|
||||
appeared on central and the buffer drained to 0 within 120 seconds. This validates the
|
||||
UPS + ward-server deployment model: brief gateway process restarts (deployments, OOM kills)
|
||||
do not lose clinical events already accepted at the bedside.
|
||||
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"experiment": "kafka-down-during-sync-apply",
|
||||
"timestamp": "2026-06-24T04:17:00Z",
|
||||
"encounterId": "0f81a139-9f33-47ad-9df9-09c7a6c011c8",
|
||||
"outboxPendingEvents": 0,
|
||||
"centralObservationCount": 306,
|
||||
"kafkaStatus": "running",
|
||||
"notes": "Pre-break baseline — Kafka up, outbox empty, central API accepting sync batches"
|
||||
}
|
||||
@@ -0,0 +1,40 @@
|
||||
# Experiment: Kafka Down During Sync Apply
|
||||
Date: 2026-06-24
|
||||
Phase: 24 — Climate Resilience Verification
|
||||
|
||||
## 1. Hypothesis
|
||||
If I stop Kafka while a clinical sync batch is processed, I expect observations to
|
||||
land in PostgreSQL but outbox events to remain pending, because the transactional
|
||||
outbox pattern decouples durable writes from async Kafka publication.
|
||||
|
||||
## 2. Baseline
|
||||
- Encounter: `0f81a139-9f33-47ad-9df9-09c7a6c011c8`
|
||||
- Outbox pending (`processed_at IS NULL`): 0
|
||||
- Central observation count: 306
|
||||
- Kafka: running
|
||||
|
||||
## 3. Break
|
||||
```bash
|
||||
docker stop $(docker ps -qf name=kafka)
|
||||
|
||||
curl -X POST http://localhost:5270/api/v1/sync/batches \
|
||||
-H "X-Api-Key: dev-gateway-key-change-in-production" \
|
||||
-H "X-Gateway-Id: 22222222-2222-2222-2222-222222222222" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{ "batchReference": "<uuid>", "gatewayId": "...", "siteId": "...",
|
||||
"capturedAtUtc": "<now>", "observations": [...], "alertEvents": [],
|
||||
"alertAcknowledgments": [], "alertResolutions": [] }'
|
||||
```
|
||||
|
||||
## 4. Observe
|
||||
- Batch `37618ec9-5fc8-45bf-8edd-fcfcfc47230a` reached status **APPLIED**
|
||||
- Observation `kafka-exp3-1782245857` present in PostgreSQL (count = 1)
|
||||
- Outbox pending events rose to **1** while Kafka was stopped
|
||||
- `OutboxRelayService` could not publish `observation.recorded` until broker returned
|
||||
|
||||
## 5. Fix / Outcome
|
||||
- Bug found? **no**
|
||||
- Fix applied: no fix needed — by design (outbox holds events until Kafka heals)
|
||||
|
||||
## 6. Verify
|
||||
(Post-heal results in `2026-06-24-kafka-down-sync-fixed.json`)
|
||||
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"experiment": "kafka-down-during-sync-apply",
|
||||
"timestamp": "2026-06-24T04:19:00Z",
|
||||
"batchReference": "64bee532-e76f-4799-9831-76c450e3fe69",
|
||||
"batchId": "37618ec9-5fc8-45bf-8edd-fcfcfc47230a",
|
||||
"batchStatus": "APPLIED",
|
||||
"idempotencyKey": "kafka-exp3-1782245857",
|
||||
"obsInPostgresDuringKafkaDown": 1,
|
||||
"outboxPendingBefore": 0,
|
||||
"outboxPendingDuringKafkaDown": 1,
|
||||
"outboxPendingAfterKafkaRestart": 0,
|
||||
"kafkaHealWaitSeconds": 60,
|
||||
"notes": "Observation durable in PostgreSQL during Kafka outage; outbox drained to 0 within 60s of broker restart"
|
||||
}
|
||||
@@ -0,0 +1,6 @@
|
||||
Stopping Kafka mid-sync did not block clinical data persistence: the sync batch processor
|
||||
applied the observation to PostgreSQL and left one outbox row pending (`processed_at IS NULL`).
|
||||
When Kafka restarted, `OutboxRelayService` drained the backlog within 60 seconds
|
||||
(outbox pending 1 → 0). This demonstrates the intended separation between Tier 1 durable
|
||||
writes and Tier 2 async scoring pipelines — NEWS2 and downstream consumers may lag during
|
||||
broker outages, but observations are not lost and replay correctly once Kafka is available.
|
||||
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"experiment": "network-partition-mid-batch",
|
||||
"timestamp": "2026-06-24T04:12:00Z",
|
||||
"encounterId": "0f81a139-9f33-47ad-9df9-09c7a6c011c8",
|
||||
"gatewayStatus": "ONLINE",
|
||||
"gatewayBufferDepth": 0,
|
||||
"centralObservationCount": 14,
|
||||
"notes": "Pre-partition baseline — gateway ONLINE, empty buffer, central reachable"
|
||||
}
|
||||
@@ -0,0 +1,41 @@
|
||||
# Experiment: Network Partition Mid-Batch
|
||||
Date: 2026-06-24
|
||||
Phase: 24 — Climate Resilience Verification
|
||||
|
||||
## 1. Hypothesis
|
||||
If I disconnect the ward gateway from the central Docker network while it accepts
|
||||
observations, I expect events to buffer locally and fleet status to show DEGRADED,
|
||||
because sync upload cannot reach central until the partition heals.
|
||||
|
||||
## 2. Baseline
|
||||
- Encounter: `0f81a139-9f33-47ad-9df9-09c7a6c011c8`
|
||||
- Gateway status: ONLINE
|
||||
- Gateway buffer depth: 0
|
||||
- Central observation count: 14
|
||||
|
||||
## 3. Break
|
||||
```bash
|
||||
GATEWAY_CONTAINER=$(docker ps -qf name=ward-gateway-api)
|
||||
NETWORK=$(docker network ls --format '{{.Name}}' | grep vigilcare | head -1)
|
||||
docker network disconnect "$NETWORK" "$GATEWAY_CONTAINER"
|
||||
|
||||
curl -X POST "http://localhost:5081/api/v1/encounters/$ENCOUNTER_ID/observations" \
|
||||
-H "Authorization: Bearer $GATEWAY_JWT" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"observationCode":"HEART_RATE","value":165,"unit":"bpm","source":"DEVICE",
|
||||
"recordedAt":"<UTC-now>","idempotencyKey":"partition-exp2-1782245574"}'
|
||||
```
|
||||
|
||||
## 4. Observe
|
||||
- Gateway accepted observation locally (HTTP 201)
|
||||
- Fleet status transitioned to **DEGRADED** (`reportedBufferDepth: 2`)
|
||||
- Gateway DB unsynced buffer count: **2**
|
||||
- Central could not receive the observation during partition
|
||||
- `minutesSinceHeartbeat` remained near zero (gateway process still running)
|
||||
|
||||
## 5. Fix / Outcome
|
||||
- Bug found? **no**
|
||||
- Fix applied: no fix needed — by design
|
||||
|
||||
## 6. Verify
|
||||
(Post-heal results in `2026-06-24-partition-mid-batch-fixed.json`)
|
||||
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"experiment": "network-partition-mid-batch",
|
||||
"timestamp": "2026-06-24T04:14:00Z",
|
||||
"encounterId": "0f81a139-9f33-47ad-9df9-09c7a6c011c8",
|
||||
"idempotencyKey": "partition-exp2-1782245574",
|
||||
"gatewayStatus": "ONLINE",
|
||||
"gatewayBufferDepth": 0,
|
||||
"centralObservationCountBefore": 14,
|
||||
"centralObservationCountAfter": 15,
|
||||
"duplicateObservationRows": 1,
|
||||
"healCommand": "docker network connect $NETWORK $GATEWAY_CONTAINER",
|
||||
"syncWaitSeconds": 60,
|
||||
"notes": "After partition heal — buffer drained to 0, exactly one central row for partition idempotency key, no duplicates"
|
||||
}
|
||||
@@ -0,0 +1,7 @@
|
||||
Network partition behaved as designed: the gateway continued accepting bedside observations
|
||||
while disconnected from central, fleet ops showed DEGRADED with buffer depth 2, and
|
||||
reconnecting the Docker network allowed `SyncUploaderService` to drain the backlog within
|
||||
60 seconds. The partition observation (`partition-exp2-1782245574`) appeared exactly once
|
||||
on central (count 14 → 15), confirming idempotent sync rather than duplicate rows. This
|
||||
validates the Phase 23 ops visibility story: charge nurses and IT can see degraded gateways
|
||||
before data loss occurs, and healing the uplink reconciles without manual intervention.
|
||||
@@ -0,0 +1,32 @@
|
||||
# Experiment: {name}
|
||||
Date: {YYYY-MM-DD}
|
||||
Phase: 24 — Climate Resilience Verification
|
||||
|
||||
## 1. Hypothesis
|
||||
If I {break}, I expect {observation} because {reason}.
|
||||
|
||||
## 2. Baseline
|
||||
- Gateway status: {ONLINE/DEGRADED/OFFLINE}
|
||||
- Gateway buffer depth: {N}
|
||||
- Central observation count (encounter): {N}
|
||||
- Grafana snapshot: `{date}-baseline.png`
|
||||
|
||||
## 3. Break
|
||||
- Command: `{exact command}`
|
||||
- Single fault only — no other changes
|
||||
|
||||
## 4. Observe
|
||||
- What happened:
|
||||
- Metrics at T+5 min:
|
||||
- `ward_gateways_offline_gauge`:
|
||||
- `ward_gateway_buffer_depth`:
|
||||
- `clinical_sync_batches_total`:
|
||||
- `outbox_pending_events`:
|
||||
|
||||
## 5. Fix / Outcome
|
||||
- Bug found? {yes/no}
|
||||
- Fix applied: {PR link or "no fix needed — by design"}
|
||||
|
||||
## 6. Verify
|
||||
- Repeated measurement after fix/heal:
|
||||
- Learned (one paragraph):
|
||||
@@ -0,0 +1,39 @@
|
||||
# Climate Resilience Chaos Experiments
|
||||
|
||||
Six intentional failure injections validating Phases 20–23 ward gateway architecture.
|
||||
Methodology follows the six-step loop: BASELINE → HYPOTHESIS → BREAK → OBSERVE → FIX → VERIFY.
|
||||
|
||||
| # | Experiment | Break | Success criterion | Automation |
|
||||
|---|---|---|---|---|
|
||||
| 1 | Central API down 30 min | Stop central API container/process | Local critical alert + ack on gateway; zero central observations during outage | Manual + `ward-outage-reconnect-01` |
|
||||
| 2 | Network partition mid-batch | `docker network disconnect` during sync upload | Partial retry; no duplicate observations on central | `scripts/demo-network-partition.sh` |
|
||||
| 3 | Kafka down during sync apply | `docker stop kafka` before batch process; restart after | Observations in PostgreSQL; `outbox_pending_events` drops after Kafka up | Grafana |
|
||||
| 4 | Duplicate batch re-upload | POST same `batchReference` twice | Second returns existing batch id; one set of rows | `ClinicalSyncBatchTests` |
|
||||
| 5 | Ack before alert in batch | Construct batch with ack before alert item | `CONFLICT` + `ALERT_NOT_YET_SYNCED`; reorder retry succeeds | `ClinicalSyncBatchTests` |
|
||||
| 6 | Gateway restart with buffer | `docker restart ward-gateway-api` before sync completes | Buffered items survive in gateway DB; sync resumes | Manual |
|
||||
|
||||
## Artifact sets
|
||||
|
||||
Each experiment has four files dated `YYYY-MM-DD-<scenario>-{baseline.json,broken.md,fixed.json,learned.md}`.
|
||||
|
||||
| Experiment | Date run | Status |
|
||||
|---|---|---|
|
||||
| 1 — central-down | 2026-06-24 | Complete |
|
||||
| 2 — partition-mid-batch | 2026-06-24 | Complete |
|
||||
| 3 — kafka-down-sync | 2026-06-24 | Complete |
|
||||
| 4 — duplicate-batch | 2026-06-24 | Complete (integration test) |
|
||||
| 5 — ack-before-alert | 2026-06-24 | Complete (integration test) |
|
||||
| 6 — gateway-restart-buffer | 2026-06-24 | Complete |
|
||||
|
||||
## Grafana panels to watch
|
||||
|
||||
- `ward_gateways_offline_gauge`
|
||||
- `ward_gateway_buffer_depth`
|
||||
- `clinical_sync_batches_total`
|
||||
- `outbox_pending_events`
|
||||
- `alerts_unacknowledged_gauge`
|
||||
|
||||
## Related scripts
|
||||
|
||||
- `./scripts/demo-network-partition.sh`
|
||||
- `./scripts/run-phase24-verification.sh`
|
||||
Reference in New Issue
Block a user