run test on phase 24 and 33

This commit is contained in:
voltsrage
2026-06-24 04:35:15 +08:00
parent 68c397350b
commit 279add1e45
45 changed files with 732 additions and 99 deletions
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{
"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"
}
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# 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`)
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{
"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"
}
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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"
}
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# 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`)
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{
"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"
}
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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`.
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{
"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"
}
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# 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`)
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{
"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"
}
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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.
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{
"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"
}
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# 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`)
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{
"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"
}
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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.
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{
"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"
}
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# 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`)
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{
"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"
}
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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.
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{
"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"
}
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# 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`)
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{
"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"
}
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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):
+39
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# Climate Resilience Chaos Experiments
Six intentional failure injections validating Phases 2023 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`