qa-runner

name	qa-runner
description	AI-guided QA walkthrough for DSOA releases. Automates version detection, deployment commands, notebook deployment, and interactive test walkthrough. Use when a QA engineer needs to execute the DSOA release test suite.
license	MIT
compatibility	opencode
metadata	{"audience":"qa-engineers, developers"}

Skill: DSOA Release QA Runner

Use this skill when asked to:

• Start the QA process for a DSOA release
• Walk a QA engineer through the release test suite
• Deploy and open the QA test notebook
• Generate a QA signoff summary

---

Overview

The QA runner executes in five sequential phases. Complete each phase fully before moving to the next. Do not skip phases.

Phase	Name	Who acts	Output
1	Version discovery	AI (automated)	Verified version tags + config files
2	Deployment guidance	Human (AI provides commands)	Both environments running
3	Notebook deployment	AI (runs script)	Notebook URL
3.5	Auto-evaluation	AI (runs DQL via MCP)	Pass/fail for auto-evaluable tests
3.6	Workflow deployment	AI + human gate	10 workflows deployed + executed
4	Test walkthrough	Interactive	Pass/fail per checklist item
5	QA signoff	AI	Markdown report file

---

Phase 1 — Version Discovery

Run all of the following automatically without waiting for the human.

1a. Determine current version

grep '^VERSION' src/dtagent/version.py | head -1

Store as CURR_VERSION (e.g. 0.9.4).

1b. Derive version tags

The 3-digit tag is: printf "%03d" $((minor * 10 + patch))

bash -c '
v="'"${CURR_VERSION}"'"
minor=$(echo "$v" | cut -d. -f2)
patch=$(echo "$v" | cut -d. -f3)
printf "%03d\n" $(( minor * 10 + patch ))
'

Store as CURR_TAG (e.g. 094). The deployment environment is DEV-${CURR_TAG}.

1c. Determine previous version

Default rule: decrement the patch component of CURR_VERSION by 1. Example: 0.9.4 → 0.9.3 → tag 093.

Override: If the human specifies a different previous version (e.g. because the previous release was a hotfix like 0.9.3.1), use that version instead. Ask:

"The default previous version is {auto_prev}. Is that correct, or should I use a different version (e.g. 0.9.3.1)? Type the version or press Enter to accept the default."

Store as PREV_VERSION and derive PREV_TAG using the same algorithm.

1d. Verify config files

ls conf/config-dev-{CURR_TAG}.yml conf/config-dev-{PREV_TAG}.yml 2>&1

• If conf/config-dev-{CURR_TAG}.yml is missing: stop and instruct the human to create it (pointing to the current Snowflake account and Dynatrace tenant).
• If conf/config-dev-{PREV_TAG}.yml is missing: warn the human that cross-version comparison tiles will show only the current environment. Ask whether to proceed or to create the file first.

1e. Extract tenant info

yq '.core.dynatrace_tenant_address' conf/config-dev-{CURR_TAG}.yml
yq '.core.deployment_environment'   conf/config-dev-{CURR_TAG}.yml
yq '.core.dynatrace_tenant_address' conf/config-dev-{PREV_TAG}.yml
yq '.core.deployment_environment'   conf/config-dev-{PREV_TAG}.yml

Verify both configs point to the same dynatrace_tenant_address. If they differ, warn the human — both environments must send data to the same tenant for comparison tiles to work.

1f. Detect ORGADMIN availability

Run silently. Stores whether the account has ORGADMIN access for Phase 3.5 org_costs checks (C2.13-C2.15). If Snowflake is not yet reachable, default to false and re-check at the start of Phase 3.5.

snow sql -c snow_agent_dev-{CURR_TAG} \
    --role DTAGENT_{CURR_TAG}_OWNER \
    -q "SHOW ROLES LIKE 'ORGADMIN';" 2>/dev/null \
  | grep -qc ORGADMIN && echo "HAS_ORGADMIN=true" || echo "HAS_ORGADMIN=false"

Store as HAS_ORGADMIN (true or false). Do not block Phase 1 on this check — it is informational only. If false, Phase 3.5 org_costs checks will record SKIP (no ORGADMIN) automatically.

Phase 1 output

Report the following before proceeding:

Current version:   {CURR_VERSION}  (tag: {CURR_TAG},  env: DEV-{CURR_TAG})
Previous version:  {PREV_VERSION}  (tag: {PREV_TAG},  env: DEV-{PREV_TAG})
Dynatrace tenant:  {TENANT_ADDR}
Config files:      conf/config-dev-{CURR_TAG}.yml  ✓
                   conf/config-dev-{PREV_TAG}.yml  ✓ / ⚠ missing
ORGADMIN access:   {true / false}  (org_costs checks SKIP if false)

Ask the human to confirm before proceeding to Phase 2.

---

Phase 2 — Deployment Guidance

Instruct the human to run the following commands. Both use --scope=all for a fresh, complete deployment of the agent into each environment.

Deploy the current version

./scripts/deploy/deploy.sh --env=dev-{CURR_TAG} --scope=all --options=skip_confirm

Deploy the previous version

./scripts/deploy/deploy.sh --env=dev-{PREV_TAG} --scope=all --options=skip_confirm

Important notes to share:

• Both deployments must target the same Snowflake account (different schemas/roles differentiated by deployment_environment tag, not by database name).
• Both deployments must target the same Dynatrace tenant.
• Wait for each deployment to complete and the Snowflake task scheduler to run at least one execution cycle before proceeding.
• Timing expectations:
  • Most plugins start emitting telemetry within 30 minutes of the first task run.
  • Some plugins (e.g. those querying heavy Snowflake views) may take several hours before their first successful execution.
  • Budget-related plugins run at most once per day — their data will not appear until the daily schedule fires.
  • Recommendation: deploy today, then come back the next day to perform the full test walkthrough once all plugin data is available.

After both deploys, ask:

"Have both deployments completed successfully and is telemetry appearing in Dynatrace? (yes / no / need help)"

If the human says "need help":

• Check Snowflake task history for the DTAGENT task
• Check agent operational logs: fetch logs | filter dsoa.run.context == "self_monitoring"
• Check for ERROR-level log entries from the agent

---

Phase 3 — Notebook Deployment

Run the deploy script:

./scripts/test/deploy_test_notebook.sh \
    --curr-version={CURR_VERSION} \
    --prev-version={PREV_VERSION}

Before running the script, verify that every type: dql tile in test/qa/test-suite/test-suite.yml has showInput: false set — this hides the DQL code in the rendered notebook ("Hide Input" option in the UI). The expected count of showInput: false lines must equal the count of type: dql lines:

grep -c "type: dql"      test/qa/test-suite/test-suite.yml
grep -c "showInput: false" test/qa/test-suite/test-suite.yml

If any tile is missing it, add showInput: false on the line immediately after type: dql:

sed -i '' 's/^    type: dql$/    type: dql\n    showInput: false/' \
    test/qa/test-suite/test-suite.yml

The script:

1. Reads conf/config-dev-{CURR_TAG}.yml to get the tenant address
2. Finds the matching dtctl context
3. Converts test/qa/test-suite/test-suite.yml → JSON and injects the notebook name
4. Deploys via dtctl apply and prints the notebook URL
5. Writes the assigned notebook ID back into the YAML for future runs

If dtctl is not authenticated, instruct the human to run:

dtctl auth login

Then retry the script.

After a successful deploy, share the notebook URL with the human and ask them to confirm it opens in Dynatrace. If the notebook ID needs to be committed to the YAML, remind the human to do so after the QA session.

Correct notebook URL format (use the dynatrace.notebooks app path, not the legacy document/v0 share path): https://{tenant}/ui/apps/dynatrace.notebooks/notebook/{notebook-id}

---

Phase 3.5 — Auto-Evaluation (AI runs DQL via MCP)

Run all auto-evaluable tests using the execute_dql MCP tool without waiting for the human. Due to the MCP rate limit (5 calls per 20 seconds), send tests in batches of 5 with a brief pause between batches if needed.

Substitutions:

• DEV-{CURR_TAG} → current deployment environment (e.g. DEV-095)
• DEV-{PREV_TAG} → previous deployment environment (e.g. DEV-094)
• Default timeframe: now()-24h unless noted per test.

Each test specifies a DQL and a Pass condition. Record each result as PASS, FAIL, or SKIP (with reason). Reference the matching checklist ID (e.g. C4.9) in the report.

Cowork mode: When running with 4 parallel Claude sessions, assign batches to agents as follows:

Coordinator / ant-1  →  Batch 1 (core health, always runs first)
ant-2 (after B8-B10) →  Batch 2 (additional metrics, logs, spans)
ant-3                →  Batch 3 (events, active queries, shares, lifecycle)
ant-4                →  Batch 4 (OpenPipeline, obfuscation, overload)
ant-5 (after Ph 3.6) →  Batch 5 (workflow static + deployment validation)

Start Batches 2-4 only after the coordinator confirms DEV-{CURR_TAG} telemetry is flowing (Phase 2 complete, at least one full agent cycle observed).

---

Batch 1 — Core health

Run by coordinator (or sequentially if not using Cowork).

Should-be-empty checks (0 rows = PASS)

AE-C4.9 — No supportability.non_persisted_attribute_keys

fetch spans
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter isNotNull(supportability.non_persisted_attribute_keys)
| summarize count = count()

Pass: count == 0.

AE-C5.4 — Timestamps in BizEvents are current

fetch bizevents
| filter telemetry.exporter.name == "dynatrace.snowagent"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.context == "self_monitoring"
| filter dsoa.task.exec.status == "STARTED"
| fields timestamp, dsoa.run.id
| join [
  fetch logs
  | filter db.system == "snowflake"
  | filter deployment.environment == "DEV-{CURR_TAG}"
  | filter dsoa.run.context == "self_monitoring"
  | filter isNotNull(dsoa.run.id)
  | summarize {min_timestamp = min(timestamp)}, by: {dsoa.run.id}
]
, kind:leftOuter
, on: {left[dsoa.run.id] == right[dsoa.run.id]}
, fields: {min_timestamp}
| filter isNotNull(min_timestamp)
| fieldsAdd timeShift = abs(timestamp - min_timestamp)
| filterOut timeShift < 10min
| summarize count = count()

Pass: count == 0.

AE-C4.4 — Completeness span.events

fetch spans, from: now()-7d
| filter dsoa.run.context == "query_history"
| filter deployment.environment == "DEV-{CURR_TAG}"
| fields events_count = arraySize(span.events),
         events_added = snowagent.debug.span.events.added,
         events_failed = snowagent.debug.span.events.failed,
         supportability.dropped_events_count
| filter events_count + coalesce(supportability.dropped_events_count, 0) != events_added
| summarize count = count()

Pass: count == 0.

AE-C4.10 — Cross-batch span parent persistence

Note: When filtering by a specific trace.id value in DQL, always wrap the hex string with toUid() — e.g. filter trace.id == toUid("01c47dd2..."). Raw string comparison does not match the UID type used by Grail spans.

fetch spans, from: now()-24h
| filter dsoa.run.plugin == "query_history"
| filter isNotNull(span.parent_id)
| lookup [fetch spans, from: now()-24h | fields span.id, dsoa.run.id], sourceField: span.parent_id, lookupField: span.id
| filter isNotNull(lookup.dsoa.run.id)
| filter dsoa.run.id != lookup.dsoa.run.id
| fields trace.id, span.id, span.parent_id, dsoa.run.id, lookup.dsoa.run.id
| limit 5

Pass: at least 1 row returned. Child spans link to parent spans from a different dsoa.run.id.

Human visual (pick a trace.id from the result above):

fetch spans, from: now()-24h
| filter trace.id == toUid("<trace_id_from_above>")
| fields span.id, span.parent_id, dsoa.run.id, dsoa.run.context, db.statement
| sort span.id

Pass (human): waterfall in Distributed Traces UI shows parent-child link spanning two agent runs.

AE-C4.7 — No missing span.parent_id for child queries in same DSOA run

fetch spans, from: now()-24h
| filter db.system == "snowflake"
| filter isNotNull(dsoa.run.context)
| filter isNotNull(snowflake.query.parent_id)
| filter deployment.environment == "DEV-{CURR_TAG}"
| joinNested parent_spans = [
  fetch spans
  | filter db.system == "snowflake"
  | filter isNotNull(dsoa.run.context)
  | filter isNotNull(snowflake.query.parent_id)
  | filter deployment.environment == "DEV-{CURR_TAG}"
  | fields span.id, snowflake.query.id, dsoa.run.id
], on: {left[snowflake.query.parent_id] == right[snowflake.query.id]}
, executionOrder:leftFirst
| filterOut isNull(parent_spans)
| expand parent_spans
| fieldsFlatten parent_spans, prefix: "parent."
| filter dsoa.run.id == parent.dsoa.run.id
| filter isNull(span.parent_id)
| summarize count = count()

Pass: count == 0.

AE-C1.2 — No ERROR-level agent logs

fetch logs
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter loglevel == "ERROR"
| filter db.system == "snowflake"
| summarize count = count(), by: {content}
| sort count desc

Pass: 0 rows. If rows appear, list the content values as FAIL notes.

---

Data-presence checks (data returned = PASS)

AE-C2.3 — Query history metrics are reported

timeseries avg(snowflake.time.execution), by: {deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C5.5 — Process metrics are reported

timeseries avg(process.cpu.utilization), by: {deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C5.7 — Self-monitoring BizEvents delivered for all plugins

fetch bizevents
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.context == "self_monitoring"
| filter in(dsoa.task.exec.status, {"STARTED", "FINISHED"})
| summarize count = count(), by: {dsoa.task.name, dsoa.task.exec.status}
| filter count == 0

Pass: 0 rows (every plugin has count > 0 for both STARTED and FINISHED).

AE-C5.8 — No unexpected ingest-quality warnings (BDX-695)

fetch bizevents
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter event.type == "dsoa.ingest.warning"
| summarize count = count(), by: { `dsoa.ingest.warning.type`, `dsoa.ingest.warning.exporter`, dsoa.run.plugin }
| sort count desc

Pass: 0 rows — no ingest-quality warnings were detected during the test run. If rows are present, inspect dsoa.ingest.warning.detail for each row to determine whether the warning is a known/expected condition (e.g. a known attribute cardinality issue) or a regression. Fail the check if any new warning type appears that was not present in DEV-{PREV_TAG}.

AE-C5.9 — No unexpected acquisition problems (BDX-1647)

fetch bizevents
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter event.type == "dsoa.acquisition.problem"
| summarize count = count(), by: { `dsoa.acquisition.problem.type`, `dsoa.acquisition.problem.source`, dsoa.run.plugin }
| sort count desc

Pass: 0 rows — no acquisition problems (SQL errors during Snowflake data acquisition) were detected. If rows are present, inspect dsoa.acquisition.problem.detail to determine whether the error is transient (e.g. a view that temporarily had no data) or a regression (missing view, permission error). Fail the check if any sql_error or sub_row_error appears on a view that was working in DEV-{PREV_TAG}.

---

AE-C4.6 — span.parent_id present for child queries

fetch spans
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter isNotNull(dsoa.run.context)
| filter isNotNull(snowflake.query.parent_id)
| filter isNotNull(span.parent_id)
| summarize count = count()

Pass: count > 0.

AE-C2.1 — Budget metrics are reported

timeseries avg(snowflake.credits.limit), by: {deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0. Timing rule: The budget plugin runs at most once per day. Do not skip this check — instead, wait until at least 24 hours after deployment before evaluating. If the environment is < 24h old, defer the check and come back later.

---

Cross-version comparison checks

AE-C1.3 — No increase in dt.ingest.warnings (5% tolerance)

Run two queries — one per environment — then compare:

fetch logs
| filter telemetry.exporter.name == "dynatrace.snowagent"
| filter in(deployment.environment, {"DEV-{PREV_TAG}", "DEV-{CURR_TAG}"})
| filter isNotNull(dt.ingest.warnings)
| expand warning = dt.ingest.warnings
| summarize count = count(), by: {deployment.environment, warning}
| sort deployment.environment, warning

Pass condition: For each warning type, the count in DEV-{CURR_TAG} must not exceed the count in DEV-{PREV_TAG} by more than 5%, OR the absolute count in DEV-{CURR_TAG} must be lower than in DEV-{PREV_TAG}.

Formally: curr_count <= prev_count * 1.05 for each warning type. If DEV-{PREV_TAG} has 0 of a given warning and DEV-{CURR_TAG} has any, that is a FAIL. Record which warning types failed and their counts.

---

---

Batch 2 — Additional metrics, logs, spans

Run by eval-batch-1 (ant-2 after B8-B10) in Cowork mode, or sequentially after Batch 1 otherwise. All queries target DEV-{CURR_TAG} unless noted.

AE-C1.1 — No Snowflake task execution failures

fetch bizevents
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.context == "self_monitoring"
| filter dsoa.task.exec.status == "FAILED"
| summarize count = count()

Pass: count == 0.

AE-C2.2 — Metrics reported with deployment.environment

timeseries avg(snowflake.credits.quota), by: {deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C2.4 — Query time per table available (metrics)

timeseries avg(snowflake.time.total_elapsed),
     by: { db.namespace, db.collection.name, deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C2.5 — Table volume tracked (rows)

timeseries { max_row_count = max(snowflake.data.rows) }
      , by: { db.collection.name, deployment.environment }
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0. Prerequisite: setup_test_data_volume_storage.sql run.

AE-C2.6 — Table volume tracked (size)

timeseries {avg(snowflake.data.rows), avg(snowflake.data.size)},
        union: true,
        by: { db.namespace, db.collection.name, deployment.environment }
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C2.7 — Trust center metrics reported

timeseries max(snowflake.trust_center.findings), by: {deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C2.8 — Metrics for dynamic tables reported

timeseries {
   avg(snowflake.table.dynamic.lag.mean)
 , avg(snowflake.table.dynamic.lag.target.value)
}, union:true
 , by: {deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0. (7-day timeframe recommended for dynamic table metrics.)

AE-C2.11 — Table health: derived/growth metrics

timeseries avg(`snowflake.table.active_bytes.delta`), by:{deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0. Requires history_retention_days > 0 in config and P_SNAPSHOT_TABLE_HEALTH run at least twice before calling the agent.

AE-C2.12 — Metering metrics across ≥3 service types

timeseries sum(snowflake.credits.used), by:{snowflake.service.type}
| fieldsAdd service_type = `snowflake.service.type`
| summarize service_types = countDistinct(service_type)

Pass: service_types ≥ 3. Prerequisite: setup_test_metering.sql run.

AE-C2.14 — Org costs: storage metrics (ORGADMIN required)

Skip if HAS_ORGADMIN=false.

timeseries avg(snowflake.org.data.stored), by:{deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C2.15 — Org costs: billing capacity balance (ORGADMIN required)

Skip if HAS_ORGADMIN=false.

timeseries avg(snowflake.org.billing.capacity_balance)
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C3.1 — Queries with mismatched log/span coverage [SHOULD BE EMPTY]

fetch logs, scanLimitGBytes: -1
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.context == "query_history"
| summarize {qh_count = count(), timestamp = takeAny(timestamp)}, by: {snowflake.query.id}
| append [
  fetch logs, scanLimitGBytes: -1
  | filter deployment.environment == "DEV-{CURR_TAG}"
  | filter dsoa.run.context == "active_queries"
  | sort timestamp asc
  | summarize {aq_count = count(), timestamp = takeLast(timestamp)}, by: {snowflake.query.id}
]
| append [
  fetch spans, scanLimitGBytes: -1
  | filter deployment.environment == "DEV-{CURR_TAG}"
  | filter dsoa.run.context == "query_history"
  | summarize {sp_count = count(), sp_events = max(arraySize(span.events)), sp_events_added = max(snowagent.debug.span.events.added), timestamp = takeAny(start_time)}, by: {snowflake.query.id}
]
| summarize {qh_count=max(qh_count), aq_count=max(aq_count), sp_count=max(sp_count), sp_events=max(sp_events), sp_events_added=max(sp_events_added), timestamp=takeAny(timestamp)}, by:{snowflake.query.id}
| fieldsAdd missing_data = isNull(aq_count) or (isNull(sp_count) xor isNull(qh_count)) or (qh_count != sp_count+sp_events and qh_count != sp_count+sp_events_added)
| filterOut isNull(aq_count)
| filter isNotNull(missing_data)
| summarize count = count()

Pass: count == 0. Allow 2+ hours after deploy before evaluating.

AE-C3.2 — Query time per table (logs)

fetch logs
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter isNotNull(db.user) and isNotNull(db.collection.name) and isNotNull(snowflake.time.execution)
| summarize count = count()

Pass: count > 0.

AE-C3.3 — Logs for dynamic tables reported

fetch logs, from: now()-7d
| filter db.system == "snowflake"
| filter dsoa.run.plugin == "dynamic_tables"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter isNotNull(snowflake.table.dynamic.lag.target.value)
| summarize count = count()

Pass: count > 0.

AE-C3.4 — Event log entries reported (logs)

fetch logs
| filter db.system == "snowflake"
| filter contains(dsoa.run.context, "event_log")
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C3.5 — Trust center status.message correctly set [COMPARE]

fetch logs
| filter db.system == "snowflake"
| filter dsoa.run.context == "trust_center"
| filter in(deployment.environment, {"DEV-{PREV_TAG}", "DEV-{CURR_TAG}"})
| summarize count = count(), by: {status.message, deployment.environment}
| summarize rows = count()

Pass: rows > 0 (at least one status.message value is set).

AE-C3.6 — Resource monitor warnings correct [COMPARE]

fetch logs
| filter in(deployment.environment, {"DEV-{PREV_TAG}", "DEV-{CURR_TAG}"})
| filter dsoa.run.context == "resource_monitors"
| filter snowflake.warehouse.is_unmonitored
| filter loglevel == "WARN"
| summarize count = count(), by: {deployment.environment}

Pass: count > 0 for DEV-{CURR_TAG} (warnings fire when unmonitored warehouses exist).

AE-C3.7 — Metering logs include service_type dimension

fetch logs
| filter dsoa.run.plugin == "metering"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter isNotNull(snowflake.service.type)
| summarize count = count()

Pass: count > 0.

AE-C4.1 — Query history spans reported

fetch spans
| filter db.system == "snowflake"
| filter in(deployment.environment, {"DEV-{PREV_TAG}", "DEV-{CURR_TAG}"})
| filter dsoa.run.plugin == "query_history"
| summarize count = count(), by: {deployment.environment}

Pass: count > 0 for DEV-{CURR_TAG}.

AE-C4.2 — Query time per table (spans)

fetch spans
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter isNotNull(db.user) and isNotNull(db.collection.name) and isNotNull(snowflake.time.execution)
| summarize count = count()

Pass: count > 0.

AE-C4.3 — Coverage of spans for query_history logs [SHOULD BE EMPTY]

fetch logs, from: now()-7d
| filter db.system == "snowflake"
| filter dsoa.run.context == "query_history"
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize {logs_per_query = count()}, by: {snowflake.query.id}
| append [
  fetch spans, from: now()-7d
  | filter db.system == "snowflake"
  | filter dsoa.run.context == "query_history"
  | filter deployment.environment == "DEV-{CURR_TAG}"
  | fieldsAdd span_events_count = coalesce(arraySize(span.events), 0) + 1
]
| summarize {count_logs = sum(logs_per_query), count_events = sum(span_events_count)}, by: {snowflake.query.id}
| filter count_events == 0 or count_events != count_logs
| filter count_events < 2001
| summarize count = count()

Pass: count == 0.

AE-C4.5 — Event log entries reported (spans)

fetch spans
| filter db.system == "snowflake"
| filter dsoa.run.context == "event_log_spans"
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C4.11 — task_history attempt is integer-typed

The tasks plugin emits logs (not spans) for task_history context. Use fetch logs and a 7-day window — task runs may not appear in the default 24h window if no tasks ran recently.

fetch logs, from: now()-7d
| filter dsoa.run.context == "task_history"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter isNotNull(snowflake.task.run.attempt)
| fields snowflake.task.run.attempt
| limit 5

Pass: rows returned AND all snowflake.task.run.attempt values are numeric (DQL returns them without surrounding quotes). The SQL view casts this field to ::INTEGER — if DQL surfaces it as a quoted string like "1", record as FAIL. Skip if: no task runs in the account within 7 days.

AE-C4.12 — serverless_tasks db.namespace is NULL not empty string [SHOULD BE EMPTY]

fetch logs
| filter dsoa.run.context == "serverless_tasks"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter db.namespace == ""
| summarize count = count()

Pass: count == 0.

---

Batch 3 — Events, active queries, shares, plugin lifecycle

Run by eval-batch-2 (ant-3) in Cowork mode, or sequentially after Batch 2.

AE-C5.2 — BizEvents sent by plugins

fetch bizevents
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.context == "self_monitoring"
| summarize count = count(), by: {dsoa.task.name}
| filter count == 0

Pass: 0 rows returned (every plugin has at least one BizEvent).

AE-C5.3 — Self-monitoring BizEvents correlation

fetch bizevents
| filter db.system == "snowflake"
| filter dsoa.run.context == "self_monitoring"
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize {count = count()}, by: {dsoa.task.exec.id, dsoa.task.name}
| filter count != 2
| summarize unpaired = count()

Pass: unpaired == 0 (every run has exactly one STARTED and one FINISHED BizEvent).

AE-C5.6 — Data schemas plugin reports events

fetch events
| filter dsoa.run.context == "data_schemas"
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0. Prerequisite: setup_test_data_volume_storage.sql run.

AE-C5.10 — Resource monitor credit alert events

fetch events
| filter dsoa.run.plugin == "resource_monitors"
| filter eventType == "CUSTOM_INFO"
| filter deployment.environment == "DEV-095"
| summarize count = count()

Pass: count > 0 after running setup_test_resource_monitor_alert.sql. Skip if: simulation script was not run.

AE-C6.1 — Long-running queries reported more than once

fetch logs
| filter dsoa.run.context == "active_queries"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter isNotNull(snowflake.query.id)
| summarize {count = count()}, by: {snowflake.query.id}
| filter count > 1
| summarize multi_reported = count()

Pass: multi_reported > 0 (at least one query_id appears in more than one agent cycle).

AE-C6.2 — RUNNING and SUCCESS statuses visible

fetch logs
| filter dsoa.run.context == "active_queries"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter isNotNull(snowflake.query.id)
| summarize statuses = collectDistinct(snowflake.query.execution_status)

Pass: result contains both "RUNNING" and "SUCCESS" in the statuses list.

AE-C6.3 — All statuses of active queries reported

fetch logs, from: now()-7d
| filter dsoa.run.context == "active_queries"
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count(), by: {snowflake.query.execution_status}
| sort count desc

Pass: At least 2 distinct status values are returned (e.g. RUNNING, SUCCESS).

AE-C6.4 — Active queries raw sample [AUTO-EVAL]

fetch logs
| filter dsoa.run.context == "active_queries"
| filter deployment.environment == "DEV-{CURR_TAG}"
| fields timestamp, snowflake.query.id, snowflake.query.execution_status, db.user, db.statement, snowflake.elapsed_time
| fields isWrong = isTrueOrNull(snowflake.query.id == "") or isTrueOrNull(snowflake.query.execution_status == "")
| summarize count(), by: isWrong

Pass: 0 rows with isWrong = true (all active query logs have non-empty snowflake.query.id and snowflake.query.execution_status).

AE-C7.1 — Inbound and outbound shares reported (logs)

fetch logs
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter in(dsoa.run.context, {"inbound_shares", "outbound_shares"})
| summarize count = count(), by: {snowflake.share.kind}

Pass: rows returned for both INBOUND and OUTBOUND share kinds. Prerequisite: setup_test_shares.sql run.

AE-C7.2 — Inbound and outbound shares reported (events)

fetch events
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.plugin == "shares"
| summarize count = count()

Pass: count > 0.

AE-C7.3 — Inbound shares with missing DB reported

fetch logs
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.context == "inbound_shares"
| filter isTrueOrNull(db.namespace == "")
| summarize count = count()

Pass: count > 0 after running setup_test_shares.sql (which creates a share with a dropped/missing database). Note: db.namespace is set to empty string "" (not NULL) for inbound shares with a missing database. Use isTrueOrNull(db.namespace == "") — isNull(db.namespace) will return 0 rows.

AE-C7.4 — Query count per user tracked

fetch spans
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter isNotNull(db.user)
| summarize user_count = countDistinct(db.user)

Pass: user_count > 0.

AE-C8.1 — Disabled plugins produce no data [SHOULD BE EMPTY]

Run only after a B8/B10 disabled-plugins deployment. Substitute the disabled plugin name for {DISABLED_PLUGIN} (e.g., tasks).

fetch logs
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.plugin == "{DISABLED_PLUGIN}"
| filter dsoa.run.context != "self_monitoring"
| filter timestamp > now()-15m
| summarize count = count()

Pass: count == 0. Skip if: no disabled-plugins scenario was run.

AE-C8.2 — Disabled plugins not in self_monitoring deployment [SHOULD BE EMPTY]

Run only after a B10 deploy with deploy_disabled_plugins: false.

fetch bizevents
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.context == "self_monitoring"
| filter dsoa.run.plugin == "{DISABLED_PLUGIN}"
| filter timestamp > now()-30m
| summarize count = count()

Pass: count == 0. Skip if: deploy_disabled_plugins scenario was not run.

AE-C8.3 — Disabled plugin task suspended (no FINISHED events)

Run after disabling a plugin with --scope=config redeploy.

fetch bizevents
| filter db.system == "snowflake"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.context == "self_monitoring"
| filter dsoa.task.exec.status == "FINISHED"
| filter dsoa.run.plugin == "{DISABLED_PLUGIN}"
| filter timestamp > now()-15m
| summarize count = count()

Pass: count == 0. Skip if: B12 (disabled_by_default config redeploy) scenario was not run.

AE-C8.4 — event_usage plugin deprecated, no new telemetry [SHOULD BE EMPTY]

fetch logs
| filter dsoa.run.plugin == "event_usage"
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count == 0 (metering plugin replaces event_usage as of 0.9.5).

---

Batch 4 — OpenPipeline, obfuscation, overload

Run by eval-batch-3 (ant-4) in Cowork mode, or sequentially after Batch 3.

Prerequisites for this batch:

• C9.x: OpenPipeline rules deployed (deploy_dt_assets.sh --scope=openpipeline), setup_test_openpipeline_traffic.sql run, ~5-15 min for metric extraction
• C10.x: setup_test_query_obfuscation.sql run, mode switches applied, one agent cycle between each switch
• C11.x: setup_test_overload.sql run, max_entries config value lowered

AE-C9.1 — Failed login attempts metric

timeseries count(snowflake.login.attempts.failed), by:{deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C9.2 — Successful login attempts metric

timeseries count(snowflake.login.attempts.successful), by:{deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C9.3 — Total login attempts metric

timeseries count(snowflake.login.attempts.total), by:{deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C9.4 — Failed task runs metric

timeseries count(snowflake.task.run.failed), by:{deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C9.5 — Cancelled task runs metric

timeseries count(snowflake.task.run.cancelled), by:{deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C9.6 — Successful task runs metric

timeseries count(snowflake.task.run.successful), by:{deployment.environment}
| filter deployment.environment == "DEV-{CURR_TAG}"
| summarize count = count()

Pass: count > 0.

AE-C10.1 — Obfuscation mode: off — literal visible

Requires obfuscation_mode: off config + agent cycle after setup_test_query_obfuscation.sql. Use a 7-day window — the simulation query may have been run on a previous day.

fetch spans, from: now()-7d
| filter dsoa.run.context == "query_history"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter contains(db.query.text, "'DSOA_OBFUSCATION_TEST'")
| summarize count = count()

Pass: count > 0 (sentinel literal present in unobfuscated query text).

AE-C10.2 — Obfuscation mode: literals — sentinel absent [SHOULD BE EMPTY]

Requires obfuscation_mode: literals config + re-run of simulation + one agent cycle. Use a narrow timeframe (now()-30m) to target only post-switch spans.

fetch spans, from: now()-30m
| filter dsoa.run.context == "query_history"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter contains(db.query.text, "'DSOA_OBFUSCATION_TEST'")
| summarize count = count()

Pass: count == 0 (literal is replaced by ? in literals mode).

AE-C10.3 — Obfuscation mode: full — no SQL keywords [SHOULD BE EMPTY]

Requires obfuscation_mode: full config + re-run + one agent cycle. Use now()-30m timeframe to exclude pre-switch spans.

fetch spans, from: now()-30m
| filter dsoa.run.context == "query_history"
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter matchesPhrase(db.query.text, "SELECT")
| summarize count = count()

Pass: count == 0 (full obfuscation replaces entire query text with a hash).

AE-C11.1 — max_entries cap enforced

Signal overload protection emits a bizevent of type dsoa.signal_overload_protection via send_events() (fix BDX-1965 / commit 0e4cb07). The field dropped_count is the top-level bizevent property; dsoa.overload_protection.dropped_count is a separate attribute on the WARN log, not on the bizevent.

Note: deployment.environment value depends on which Snowflake instance the agent is deployed to. The test-qa instance reports as TEST-QA, not DEV-{CURR_TAG}. Omit the environment filter or adjust to match the target instance.

The bizevent is emitted under dsoa.run.context == "self_monitoring" (plugin: query_history). This distinguishes it from normal query history telemetry.

fetch bizevents
| filter event.type == "dsoa.signal_overload_protection"
| filter dsoa.run.plugin == "query_history"
| filter dsoa.run.context == "self_monitoring"
| summarize count = count(), total_dropped = sum(toLong(dropped_count))

Pass: count > 0 (at least one overload protection event fired). Prerequisite: setup_test_overload.sql run and plugins.query_history.max_entries set lower than the generated row count.

AE-C11.2 — Overload warning logged

The overload WARN log is emitted under dsoa.run.context == "self_monitoring" so it can be separated from normal query history logs in DQL.

fetch logs
| filter dsoa.run.plugin == "query_history"
| filter dsoa.run.context == "self_monitoring"
| filter loglevel == "WARN"
| filter contains(content, "Signal overload protection active")
| summarize count = count()

Pass: count > 0.

AE-C11.3 — Normal query logs still flow when max_entries is set

When overload protection is active (max_entries configured), normal query telemetry must still appear. If only self_monitoring logs are visible, max_entries is set too low for the query volume — data is not flowing.

fetch logs
| filter db.system == "snowflake"
| filter dsoa.run.plugin == "query_history"
| filter dsoa.run.context != "self_monitoring"
| summarize count = count()

Pass: count > 0 — normal query logs are present alongside overload protection events. Fail: count == 0 — only self-monitoring/overload messages are present; max_entries is set too low. Check CONFIG.CONFIGURATIONS for plugins.query_history.max_entries and increase it or set to 0 to disable capping.

---

Batch 5 — Workflow static and deployment validation

Run by eval-batch-4 (ant-5) in Cowork mode, or sequentially after Batch 4. Run after Phase 3.6 (workflow deploy) is confirmed complete.

Prerequisites for this batch:

• All 10 workflows deployed via deploy_dt_assets.sh --scope=workflows --env=test-qa
• setup_test_workflows.sql and setup_test_workflow_anomalies.sql run

AE-E0.1 — Plugin EVENT_TIMESTAMPS declared but 'events' missing from telemetry [SHOULD PASS]

Run this before any live-data checks. It is a static code test that does not require Snowflake or Dynatrace to be running.

.venv/bin/pytest test/core/test_plugin_event_timestamps.py -v --tb=short 2>&1 | tail -5

Pass: exit 0. All plugins that declare non-empty EVENT_TIMESTAMPS in their SQL views also list events in their telemetry config.

Fail: One or more plugins have EVENT_TIMESTAMPS columns but no events in their telemetry config — timestamp events are silently dropped. Fix: add events to the offending plugin's *-config.yml telemetry: list.

Why this matters: When events is absent from a plugin's telemetry list, self._events is set to NO_OP_TELEMETRY and all EVENT_TIMESTAMPS calls are discarded at runtime. The plugin log shows successful sends but no events appear in fetch events. This causes dashboards that use fetch events | filter dsoa.run.plugin to return empty results.

AE-E1.1 — Workflow schema tests pass (offline)

.venv/bin/pytest test/workflows/test_workflow_schema.py -v --tb=short 2>&1 | tail -5

Pass: exit 0, all tests green.

AE-E1.2 — Workflow consistency tests pass (offline)

.venv/bin/pytest test/workflows/test_workflow_consistency.py -v --tb=short 2>&1 | tail -5

Pass: exit 0, all tests green.

AE-E1.3 — Workflow DQL tests pass (offline)

.venv/bin/pytest test/workflows/test_workflow_dql.py -v --tb=short 2>&1 | tail -5

Pass: exit 0, all non-live tests green.

AE-E1.4 — Workflow JS syntax checks pass (offline)

.venv/bin/pytest test/workflows/test_workflow_js.py -v --tb=short 2>&1 | tail -5

Pass: exit 0, all tests green.

AE-E1.5 — Workflow dry-run deploy succeeds

./scripts/deploy/deploy_dt_assets.sh --scope=workflows --env=test-qa --dry-run 2>&1 | tail -5

Pass: exit 0, no errors.

AE-E2.1 — credits-exhaustion-prediction workflow deployed

fetch bizevents
| filter event.type == "com.dynatrace.automation.workflow.execution.finished"
| filter contains(matchesValue(workflow.title, "*credits*exhaustion*"), "true")
| summarize count = count()

Pass: count > 0 after triggering workflow execution. [SKIP if workflow not triggered in Phase 3.6]

AE-E2.3 — dynamic-table-drift workflow deployed

fetch bizevents
| filter event.type == "com.dynatrace.automation.workflow.execution.finished"
| filter contains(matchesValue(workflow.title, "*dynamic*table*"), "true")
| summarize count = count()

Pass: count > 0 after trigger. [SKIP if not triggered]

AE-E2.6 — query-slowdown-detection workflow deployed

fetch bizevents
| filter event.type == "com.dynatrace.automation.workflow.execution.finished"
| filter contains(matchesValue(workflow.title, "*query*slowdown*"), "true")
| summarize count = count()

Pass: count > 0 after trigger. [SKIP if not triggered]

AE-E2.9 — table-perf-degradation workflow deployed

fetch bizevents
| filter event.type == "com.dynatrace.automation.workflow.execution.finished"
| filter contains(matchesValue(workflow.title, "*table*perf*"), "true")
| summarize count = count()

Pass: count > 0 after trigger. [SKIP if not triggered]

AE-E3.1 — data-volume-anomaly events present (after spike)

fetch events, from: now()-1h
| filter isNotNull(`ad.source`)
| filter `ad.source` == "dsoa.data_volume_anomaly"
| summarize count = count()

Pass: count > 0 after seeding the data volume spike. Skip: [SKIP if Davis baseline < 7 days old]

AE-E3.2 — warehouse DDL events captured for sensitive-change alert

fetch spans, from: now()-2h
| filter isNotNull(snowflake.object.ddl.operation)
| filter contains(snowflake.object.name, "DSOA_TEST_WH_DDL_SIM")
| summarize count = count()

Pass: count > 0 after running setup_test_workflow_anomalies.sql. Skip: [SKIP if track_ddl_changes not enabled]

After running all batches, present the consolidated results table:

## Auto-Evaluation Results — DEV-{CURR_TAG}

### Batch 1 — Core health

| Test    | Description                                      | Result    | Notes |
|---------|--------------------------------------------------|-----------|-------|
| AE-C4.9 | No non_persisted_attribute_keys                  | PASS/FAIL |       |
| AE-C5.4 | BizEvent timestamps are current                  | PASS/FAIL |       |
| AE-C4.4 | Completeness span.events                         | PASS/FAIL |       |
| AE-C4.7 | No missing span.parent_id for child queries      | PASS/FAIL |       |
| AE-C1.2 | No ERROR-level agent logs                        | PASS/FAIL |       |
| AE-C2.3 | Query history metrics reported                   | PASS/FAIL |       |
| AE-C5.5 | Process metrics reported                         | PASS/FAIL |       |
| AE-C5.7 | Self-monitoring BizEvents all delivered          | PASS/FAIL |       |
| AE-C5.8 | No unexpected ingest-quality warnings            | PASS/FAIL |       |
| AE-C5.9 | No unexpected acquisition problems               | PASS/FAIL |       |
| AE-C4.6 | span.parent_id present for child queries         | PASS/FAIL |       |
| AE-C2.1 | Budget metrics reported                          | PASS/FAIL |       |
| AE-C1.3 | No increase in dt.ingest.warnings (5% tolerance) | PASS/FAIL |       |

### Batch 2 — Additional metrics, logs, spans

| Test     | Description                                     | Result    | Notes |
|----------|-------------------------------------------------|-----------|-------|
| AE-C1.1  | No task execution failures                      | PASS/FAIL |       |
| AE-C2.2  | Metrics reported with deployment.environment    | PASS/FAIL |       |
| AE-C2.4  | Query time per table (metrics)                  | PASS/FAIL |       |
| AE-C2.5  | Table volume tracked (rows)                     | PASS/FAIL |       |
| AE-C2.6  | Table volume tracked (size)                     | PASS/FAIL |       |
| AE-C2.7  | Trust center metrics reported                   | PASS/FAIL |       |
| AE-C2.8  | Dynamic table metrics reported                  | PASS/FAIL |       |
| AE-C2.11 | Table health: derived/growth metrics            | PASS/FAIL |       |
| AE-C2.12 | Metering across >=3 service types               | PASS/FAIL |       |
| AE-C2.14 | Org costs: storage metrics                      | PASS/FAIL/SKIP |  |
| AE-C2.15 | Org costs: billing capacity balance             | PASS/FAIL/SKIP |  |
| AE-C3.1  | No mismatched log/span coverage                 | PASS/FAIL |       |
| AE-C3.2  | Query time per table (logs)                     | PASS/FAIL |       |
| AE-C3.3  | Logs for dynamic tables reported                | PASS/FAIL |       |
| AE-C3.4  | Event log entries (logs)                        | PASS/FAIL |       |
| AE-C3.5  | Trust center status.message set                 | PASS/FAIL |       |
| AE-C3.6  | Resource monitor warnings correct               | PASS/FAIL |       |
| AE-C3.7  | Metering logs include service_type              | PASS/FAIL |       |
| AE-C4.1  | Query history spans reported                    | PASS/FAIL |       |
| AE-C4.2  | Query time per table (spans)                    | PASS/FAIL |       |
| AE-C4.3  | Span coverage for query_history logs            | PASS/FAIL |       |
| AE-C4.5  | Event log entries (spans)                       | PASS/FAIL |       |
| AE-C4.11 | task_history attempt is integer-typed           | PASS/FAIL |       |
| AE-C4.12 | serverless_tasks db.namespace null not empty    | PASS/FAIL |       |

### Batch 3 — Events, active queries, shares, lifecycle

| Test     | Description                                     | Result    | Notes |
|----------|-------------------------------------------------|-----------|-------|
| AE-C5.2  | BizEvents sent by all plugins                   | PASS/FAIL |       |
| AE-C5.3  | Self-monitoring BizEvents paired                | PASS/FAIL |       |
| AE-C5.6  | Data schemas plugin events reported             | PASS/FAIL |       |
| AE-C5.10 | Resource monitor credit alert events            | PASS/FAIL/SKIP |  |
| AE-C6.1  | Long-running queries reported > once            | PASS/FAIL |       |
| AE-C6.2  | RUNNING and SUCCESS statuses visible            | PASS/FAIL |       |
| AE-C6.3  | All active query statuses reported              | PASS/FAIL |       |
| AE-C6.4  | Active queries raw sample (no empty key fields) | PASS/FAIL |       |
| AE-C7.1  | Inbound/outbound shares (logs)                  | PASS/FAIL |       |
| AE-C7.2  | Inbound/outbound shares (events)                | PASS/FAIL |       |
| AE-C7.3  | Inbound shares with missing DB                  | PASS/FAIL |       |
| AE-C7.4  | Query count per user tracked                    | PASS/FAIL |       |
| AE-C8.1  | Disabled plugins produce no data                | PASS/FAIL/SKIP |  |
| AE-C8.2  | Disabled plugins not in deployment              | PASS/FAIL/SKIP |  |
| AE-C8.3  | Disabled plugin task suspended                  | PASS/FAIL/SKIP |  |
| AE-C8.4  | event_usage deprecated, no telemetry            | PASS/FAIL |       |

### Batch 4 — OpenPipeline, obfuscation, overload

| Test     | Description                                     | Result    | Notes |
|----------|-------------------------------------------------|-----------|-------|
| AE-C9.1  | Failed login attempts metric                    | PASS/FAIL |       |
| AE-C9.2  | Successful login attempts metric                | PASS/FAIL |       |
| AE-C9.3  | Total login attempts metric                     | PASS/FAIL |       |
| AE-C9.4  | Failed task runs metric                         | PASS/FAIL |       |
| AE-C9.5  | Cancelled task runs metric                      | PASS/FAIL |       |
| AE-C9.6  | Successful task runs metric                     | PASS/FAIL |       |
| AE-C10.1 | Obfuscation mode: off — literal visible         | PASS/FAIL |       |
| AE-C10.2 | Obfuscation mode: literals — sentinel absent    | PASS/FAIL |       |
| AE-C10.3 | Obfuscation mode: full — no SQL keywords        | PASS/FAIL |       |
| AE-C11.1 | max_entries cap enforced                        | PASS/FAIL |       |
| AE-C11.2 | Overload warning logged (self_monitoring ctx)   | PASS/FAIL |       |
| AE-C11.3 | Normal query logs flow alongside overload       | PASS/FAIL |       |

### Batch 5 — Workflow static and deployment validation

| Test     | Description                                     | Result    | Notes |
|----------|-------------------------------------------------|-----------|-------|
| AE-E0.1  | Plugin EVENT_TIMESTAMPS vs events telemetry     | PASS/FAIL |       |
| AE-E1.1  | Workflow schema tests pass (offline)            | PASS/FAIL |       |
| AE-E1.2  | Workflow consistency tests pass (offline)       | PASS/FAIL |       |
| AE-E1.3  | Workflow DQL tests pass (offline)               | PASS/FAIL |       |
| AE-E1.4  | Workflow JS syntax checks pass (offline)        | PASS/FAIL |       |
| AE-E1.5  | Workflow dry-run deploy succeeds                | PASS/FAIL |       |
| AE-E2.1  | credits-exhaustion-prediction workflow deployed | PASS/FAIL/SKIP | |
| AE-E2.3  | dynamic-table-drift workflow deployed           | PASS/FAIL/SKIP | |
| AE-E2.6  | query-slowdown-detection workflow deployed      | PASS/FAIL/SKIP | |
| AE-E2.9  | table-perf-degradation workflow deployed        | PASS/FAIL/SKIP | |
| AE-E3.1  | data-volume-anomaly events after spike          | PASS/FAIL/SKIP | |
| AE-E3.2  | warehouse DDL events for sensitive-change alert | PASS/FAIL/SKIP | |

Auto-evaluated: {N}/71 — {n} passed, {f} failed, {s} skipped
  Batch 1: {n1}/13  Batch 2: {n2}/23  Batch 3: {n3}/16  Batch 4: {n4}/11  Batch 5: {n5}/8
  (Deferred: C2.16, C2.17, C4.13, E3.1 — verify on next day / after data latency window)

Include the full consolidated table in the Phase 5 markdown report.

---

Phase 3.6 — Workflow Deployment

Deploy all DSOA workflows to the test tenant. Ask for confirmation before triggering any live workflow executions (they consume credits and may send Dynatrace notifications).

3.6a. Deploy workflows

./scripts/deploy/deploy_dt_assets.sh --scope=workflows --env=test-qa

Verify exit 0 and that all 10 workflows are assigned IDs. If the deploy script prints 0 workflows deployed, check that docs/workflows/ contains all 10 YAML files.

3.6b. Confirm execution (human gate)

"All 10 workflows have been deployed. May I proceed to trigger test executions for all 10 workflows? This will consume a small amount of compute credits on the test tenant. Type yes to proceed or skip to skip live execution tests."

If the human says skip, mark all E2.x execution items as [SKIP: human skipped] and proceed to Phase 4.

3.6c. Trigger workflow executions

Only proceed after human confirmation. For each of the 10 workflows, trigger via dtctl:

# List deployed DSOA workflows and capture IDs
dtctl get workflows -o json | python3 -c "
import sys, json
wfs = json.load(sys.stdin)
for w in wfs:
    if 'DSOA' in w.get('title', ''):
        print(w['id'], w['title'])
"

Then trigger each workflow:

# Example — repeat for each workflow ID
dtctl exec workflow <id> --watch --timeout 600

ORGADMIN gate: Before triggering org-contract-balance-warning, check HAS_ORGADMIN from Phase 1f. If false, mark E2.5 as [SKIP: HAS_ORGADMIN=false].

Record: each workflow's execution status (SUCCESS / FAILED / TIMEOUT) and whether any task entered an ERROR state.

---

Phase 4 — Test Walkthrough

Walk through test/qa/RELEASE-CHECKLIST.md section by section. For each item:

• State the item description clearly
• For Section A (offline): ask [PASS], [FAIL], or [SKIP reason]
• For Section B (deployment): provide the exact command, ask the human to run it, then confirm the result
• For Section C (live telemetry): name the exact notebook tile to check, note whether it is a [COMPARE] tile (both DEV-{PREV} and DEV-{CURR} expected), and ask for the result

Keep a running tally in memory. Only proceed to the next item after recording the current item's result.

Tile navigation hints

Tell the human to open the notebook at the URL from Phase 3. The tiles are grouped by test theme matching the checklist sections. Within each group tiles appear in checklist order.

For [COMPARE] tiles, both series must be visible. If only one series appears, it likely means the other environment has not completed a run yet — ask the human to wait and refresh.

Handling failures

When a test fails:

1. Ask the human to describe what they see
2. Suggest the most likely investigation steps (e.g. check logs for that plugin, verify the Snowflake view exists, check task is not suspended)
3. Record the failure with a brief note
4. Continue to the next item — do not block the session on a single failure

---

Phase 5 — QA Signoff

Generate the result summary table:

Section                  | Pass | Fail | Skip | Total
-------------------------|------|------|------|------
A — Offline              |      |      |      |  14
B — Deployment           |      |      |      |  16
C1 — Data Volume         |      |      |      |   8
C2 — Metrics             |      |      |      |  16
C3 — Logs                |      |      |      |   8
C4 — Spans               |      |      |      |  13
C5 — Events              |      |      |      |  10
C6 — Active Queries      |      |      |      |   4
C7 — Shares              |      |      |      |   4
C8 — Plugin Lifecycle    |      |      |      |   4
C9 — OpenPipeline        |      |      |      |   6
C10 — Obfuscation        |      |      |      |   3
C11 — Signal Protection  |      |      |      |   2
D — Dashboards           |      |      |      |  14
E — Workflows            |      |      |      |  19
Total                    |      |      |      | 141

List all failed and skipped items with the human's notes.

Generate the signoff line:

DSOA {CURR_VERSION} QA — {DATE} — {PASS}/{TOTAL} items passed
Tester: {human name or "QA"}
Notebook: {NOTEBOOK_URL}

Write the markdown report

Always write the full results to a file (do not just offer — write it):

mkdir -p test/qa/results
# file: test/qa/results/qa-{CURR_VERSION}-{YYYYMMDD}.md

The report file must have the following structure:

# DSOA {CURR_VERSION} QA Report — {DATE}

**Tester:** {NAME}
**Notebook:** [{NOTEBOOK_URL}]({NOTEBOOK_URL})
**Environment:** DEV-{CURR_TAG} vs DEV-{PREV_TAG}
**Tenant:** {TENANT_ADDR}
**ORGADMIN:** {true / false}

## Signoff

> DSOA {CURR_VERSION} QA — {DATE} — {PASS}/{TOTAL} items passed ({DEFERRED} deferred)
> Deferred: C2.16, C2.17, C4.13, E3.1 — re-verify after data latency window

## Auto-Evaluation (AI)

[Paste consolidated auto-eval table from Phase 3.5 here]

Auto-evaluated: {N}/70 — {n} passed, {f} failed, {s} skipped

## Section Results

| Section                  | Pass | Fail | Skip | Total |
|--------------------------|------|------|------|-------|
| A — Offline              |      |      |      |  14   |
| B — Deployment           |      |      |      |  16   |
| C1 — Data Volume         |      |      |      |   8   |
| C2 — Metrics             |      |      |      |  16   |
| C3 — Logs                |      |      |      |   8   |
| C4 — Spans               |      |      |      |  13   |
| C5 — Events              |      |      |      |  10   |
| C6 — Active Queries      |      |      |      |   4   |
| C7 — Shares              |      |      |      |   4   |
| C8 — Plugin Lifecycle    |      |      |      |   4   |
| C9 — OpenPipeline        |      |      |      |   6   |
| C10 — Obfuscation        |      |      |      |   3   |
| C11 — Signal Protection  |      |      |      |   2   |
| D — Dashboards           |      |      |      |  14   |
| E — Workflows            |      |      |      |  19   |
| **Total**                |      |      |      | **141**|

## Failures and Skips

### Failed items

- **{ID}** — {title}: {human's note}

### Skipped items

- **{ID}** — {title}: {reason}

## Notes

{any additional observations from the QA session}

---

Helper Reference

Version-to-tag algorithm (bash)

version_to_tag() {
    local version="$1"
    local minor patch
    minor=$(echo "$version" | cut -d. -f2)
    patch=$(echo "$version" | cut -d. -f3)
    printf "%03d" $(( minor * 10 + patch ))
}

Examples: 0.9.4 → 094 | 0.9.3.1 → 093 | 0.9.10 → 100

DQL semantics — dsoa.run.plugin vs dsoa.run.context

These two attributes have distinct meanings and must never be used interchangeably in DQL queries:

Attribute	Meaning	Example values
dsoa.run.plugin	The plugin that emitted the telemetry	"shares", "query_history"
dsoa.run.context	The specific context (sub-task) within a plugin run	"inbound_shares", "outbound_shares", "shares"

Rule: Use dsoa.run.plugin when filtering for all telemetry produced by a plugin regardless of which context within that plugin emitted it. Use dsoa.run.context only when you need to target a specific named context.

Some plugins have a single context whose name matches the plugin name — in that case both filters return the same data. However, you must still use dsoa.run.plugin when the intent is to select by plugin, to keep semantics correct and future-proof against the plugin gaining additional contexts.

Special case — query_history overload protection: The signal overload protection log and bizevent are emitted with dsoa.run.plugin == "query_history" but dsoa.run.context == "self_monitoring". This is intentional — it separates operational/overload signals from normal query telemetry. Use the context filter to distinguish them:

• Normal query logs: filter dsoa.run.plugin == "query_history" | filter dsoa.run.context != "self_monitoring"
• Overload protection only: filter dsoa.run.plugin == "query_history" | filter dsoa.run.context == "self_monitoring"
• If only self_monitoring logs appear for query_history, max_entries is set too low — the cap is dropping all queries and data is not flowing.

Example — correct (shares events from any context):

fetch events
| filter dsoa.run.plugin == "shares"

Example — correct (shares logs from specific inbound/outbound contexts):

fetch logs
| filter in(dsoa.run.context, {"inbound_shares", "outbound_shares"})

Example — wrong (uses context instead of plugin for a plugin-level query):

fetch events
| filter dsoa.run.context == "shares"   // WRONG — should be dsoa.run.plugin

DQL — toUid() for UID-typed fields

Grail stores trace.id, span.id, and span.parent_id as UID typed values, not plain strings. When filtering by a specific literal value, always wrap the hex string with toUid():

| filter trace.id == toUid("01c47dd2e26cbb0d31e0325cccd69bd1")  // correct
| filter trace.id == "01c47dd2e26cbb0d31e0325cccd69bd1"         // WRONG — no match

This applies to any direct equality filter on trace.id, span.id, or span.parent_id. Comparison operators and lookup/joinNested on these fields work correctly without toUid() because both sides share the same type.

B2 — Manual agent invocation

For B2 (manual execution test), call DTAGENT once per plugin using separate CALL APP.DTAGENT(ARRAY_CONSTRUCT('<plugin>')) statements — one for each plugin. Never call with all plugins in a single ARRAY_CONSTRUCT — the snow sql CLI has a hard 2-minute timeout and a full 16-plugin run will always exceed it.

The commented call template in src/dtagent.sql/agents/700_dtagent.sql already contains the correct separate-call form. Run each line individually:

use role DTAGENT_VIEWER; use database DTAGENT_DB; use warehouse DTAGENT_WH;
call APP.DTAGENT(ARRAY_CONSTRUCT('active_queries'));
call APP.DTAGENT(ARRAY_CONSTRUCT('budgets'));
-- ... one per plugin ...
call APP.DTAGENT(ARRAY_CONSTRUCT('warehouse_usage'));

Pre-requisite — snow sql timeout configuration (MANDATORY): Before running B2, ensure the connection profile in ~/.snowflake/config.toml has both timeout values set to at least 300 seconds (5 minutes) to handle cold starts on data-heavy plugins:

[connections.snow_agent_dev-{CURR_TAG}]
# ... existing settings ...
login_timeout = 300
network_timeout = 300

login_timeout covers the initial connection handshake; network_timeout covers query execution. Both are needed. Without these, the CLI silently cuts off at ~120 seconds and returns no output or error.

Run each plugin call via:

snow sql -c snow_agent_dev-{CURR_TAG} \
    --role DTAGENT_{TAG}_OWNER \
    --warehouse DTAGENT_{TAG}_WH \
    --database DTAGENT_{TAG}_DB \
    --schema APP \
    -q "call APP.DTAGENT(ARRAY_CONSTRUCT('<plugin>'));"

After all calls, verify telemetry arrives by checking for recent FINISHED biz events per plugin:

fetch bizevents, from: now()-30m
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.task.exec.status == "FINISHED"
| summarize count = count(), by: {dsoa.task.name}
| sort dsoa.task.name asc

All 16 plugins should appear with count >= 1. Any missing plugin is a FAIL.

Note on dsoa.task.name format: Some plugins (e.g. snowpipes) are invoked with individual contexts using the $plugin:$context format, e.g. "snowpipes:snowpipes" or "snowpipes:snowpipes_copy_history,snowpipes_usage_history". This is correct and expected — do not flag these as malformed.

Notebook tile format notes

Markdown tiles — use the markdown: key (NOT text:). The text: key is silently ignored by Dynatrace; the rendered content comes from markdown:.

- id: my-markdown-tile
  type: markdown
  markdown: |
    ## Section heading

    Some **bold** description.

DQL tiles — always include showInput: false to hide the code by default.

Path	Purpose
src/dtagent/version.py	Source of truth for current version
conf/config-dev-{TAG}.yml	Per-environment configuration
test/qa/RELEASE-CHECKLIST.md	Full checklist with all items
test/qa/test-suite/test-suite.yml	Notebook YAML template
scripts/test/deploy_test_notebook.sh	Notebook deploy script
scripts/test/test_deploy_flags_manual.sh	Manual test script for deploy.sh flag parsing (no Snowflake required)
test/qa/results/	QA result files (create as needed)

Deploy commands quick reference

# Deploy both environments (fresh) — human only on dev-* profiles (requires DTAGENT_TOKEN)
./scripts/deploy/deploy.sh --env=dev-{CURR_TAG} --scope=all --options=skip_confirm
./scripts/deploy/deploy.sh --env=dev-{PREV_TAG} --scope=all --options=skip_confirm

# test-qa: AI can and must use --scope=all
./scripts/deploy/deploy.sh --env=test-qa --scope=all --options=skip_confirm

# AI-safe re-deploy on dev-* profiles (no token needed) — plugins + agents + config only
./scripts/deploy/deploy.sh --env=dev-{CURR_TAG} --scope=plugins,agents,config --options=skip_confirm

# Config-only update (no SQL changes)
./scripts/deploy/deploy.sh --env=dev-{CURR_TAG} --scope=config --options=skip_confirm

# Deploy the test notebook
./scripts/test/deploy_test_notebook.sh \
    --curr-version={CURR_VERSION} \
    --prev-version={PREV_VERSION}

# Preview notebook deploy without applying
./scripts/test/deploy_test_notebook.sh --dry-run

# Run manual deploy flag tests (no Snowflake connection required)
bash scripts/test/test_deploy_flags_manual.sh

# Smoke test — verify all SQL generates cleanly without executing against Snowflake
# make build -B forces a clean rebuild (ignores cached artifacts)
# DTAGENT_TOKEN=x suppresses the interactive token prompt in update_secret.sh;
#   the script detects the invalid format, warns, and skips the API key update — fine for smoke tests
make build -B && DTAGENT_TOKEN=x ./scripts/deploy/deploy.sh --env=test-qa --scope=all --options=skip_confirm

CRITICAL — scope rules for AI-assisted deploys:

• On test-qa: the AI has full DTAGENT access and must use --scope=all for fresh deployments — this is required and correct.
• On dev-* profiles: --scope=all requires DTAGENT_TOKEN env-var (sends deployment biz events). The AI does not have this token on dev profiles. Use --scope=plugins,agents,config instead for AI-run deploys on dev environments.
• Always build.sh first if build artifacts are missing — deploy will error with Build file missing: build/....
• Smoke test / SQL validation: Use make build -B (force clean build) + DTAGENT_TOKEN=x to suppress the interactive token prompt. The deploy runs fully but skips the API key update in Snowflake — all SQL is generated and executed, making this a sound end-to-end SQL sanity check.

Deploy log monitoring

Never let deploy output stream directly to the tool — the log is very large and will cause tool aborts. Always background the process and tail the log:

./scripts/deploy/deploy.sh --env=dev-{CURR_TAG} --scope=all --options=skip_confirm \
    > /tmp/deploy-{CURR_TAG}.log 2>&1 &
# then poll:
sleep 30 && ps -p $PID && tail -10 /tmp/deploy-{CURR_TAG}.log

Key strings to grep for in deploy logs:

String	Meaning
Filtering out disabled plugins: ...	Which plugins were excluded
UPDATE_FROM_CONFIGURATIONS | OK	Config applied successfully
successfully created / successfully resumed	Tasks are live
^ERROR:	Fatal deploy error

Note: snow sql garbles wide-table output (SHOW TASKS, TASK_HISTORY). Never use these to verify task state — use deploy log evidence instead.

B-section deployment scenarios (B8–B10)

These tests use conf/config-dev-{CURR_TAG}.yml changes + redeploy on the current environment. The AI updates the config file; the human runs the deploy (or the AI runs --scope=plugins,agents,config if no token is needed).

Always restore the config to a clean state after each B8–B10 scenario before the next one. A fresh --scope=all (by the human) is the safest restore path.

B8 — Selected plugins only

Config pattern:

plugins:
  disabled_by_default: true
  deploy_disabled_plugins: false
  query_history:
    is_enabled: true
  data_volume:
    is_enabled: true
  shares:
    is_enabled: true

Deploy: --scope=all (human). Verify:

• Deploy log shows Filtering out disabled plugins: <13 plugins>
• Trigger enabled tasks manually: EXECUTE TASK DTAGENT_{TAG}_DB.APP.TASK_DTAGENT_QUERY_HISTORY; etc.
• DQL: zero telemetry from any non-enabled plugin over last 15 min.

B9 — Config-only update

Make a non-structural config change (e.g. log_level: DEBUG → INFO). Deploy: --scope=config only (AI can run this). Verify:

• No CREATE PROCEDURE / CREATE VIEW / CREATE TASK in deploy log.
• UPDATE_FROM_CONFIGURATIONS → OK.
• New value confirmed in Snowflake: SELECT PATH, VALUE FROM CONFIG.CONFIGURATIONS WHERE PATH = 'core.log_level';
• Trigger tasks and confirm FINISHED biz events still appear.

B10 — Disabled plugin not callable

Remove a previously-enabled plugin from config (e.g. remove shares: is_enabled: true). Deploy: --scope=all (human) or --scope=plugins,agents,config (AI).

Correct verification method: Call the agent directly for the disabled plugin:

snow sql -c snow_agent_dev-{CURR_TAG} \
    --role DTAGENT_{TAG}_OWNER \
    --warehouse DTAGENT_{TAG}_WH \
    --database DTAGENT_{TAG}_DB \
    --schema APP \
    -q "CALL APP.DTAGENT(ARRAY_CONSTRUCT('shares'));"

Expected result: "not_implemented" — the plugin code is excluded from the DTAGENT procedure at compile time. Do not check for absent SQL objects — the deploy does not DROP pre-existing views or tasks; enforcement is at the Python code level inside the stored procedure.

Confirm no telemetry from the plugin in the 5 minutes after deploy:

fetch logs, from: now()-5m
| filter deployment.environment == "DEV-{CURR_TAG}"
| filter dsoa.run.plugin == "shares"
| filter dsoa.run.context != "self_monitoring"
| summarize count = count()

Pass: count == 0.

B11 — LOG_EVENT_LEVEL BCR adaptation (Snowflake BCR 2026_02)

This test verifies that the LOG_EVENT_LEVEL BCR adaptation runs correctly on accounts that support the parameter, and falls back gracefully on those that do not.

1. Full redeploy to test-qa to exercise both 002_init_db.sql and 009_event_log_init.sql:

   ./scripts/dev/build.sh && \
   ./scripts/deploy/deploy.sh test-qa \
       --scope=init,plugins,config \
       --options=skip_confirm
   

2. Verify LOG_EVENT_LEVEL set at account level — only applicable when DSOA provisions and owns the event table (i.e. EVENT_TABLE points to DTAGENT_DB.STATUS.EVENT_LOG). First confirm ownership:

   SHOW PARAMETERS LIKE 'EVENT_TABLE' IN ACCOUNT;
   

   If value = DTAGENT_DB.STATUS.EVENT_LOG, DSOA owns the event table — proceed with the account-level check below. If it points elsewhere (custom or Snowflake-managed table), skip this step and step 4; the account-level parameter is intentionally left to the operator in that scenario.

   SHOW PARAMETERS LIKE 'LOG_EVENT_LEVEL' IN ACCOUNT;
   

   Expected (DSOA-owned event table): one row with name = LOG_EVENT_LEVEL and value = INFO. If the parameter does not exist, the account predates BCR 2026_02 — the fallback path is active; skip steps 3 and 4 and record as SKIP (pre-BCR).

3. Verify LOG_EVENT_LEVEL set at database level:

   SHOW PARAMETERS LIKE 'LOG_EVENT_LEVEL' IN DATABASE DTAGENT_DB;
   

   Expected: value = INFO.

4. Verify privilege was granted to DTAGENT_VIEWER:

   SHOW GRANTS TO ROLE DTAGENT_VIEWER;
   

   Expected: a row with privilege = MODIFY LOG EVENT LEVEL and granted_on = ACCOUNT.

5. Verify event_log plugin collects telemetry — wait ~2 minutes after deploy, then check Dynatrace:

   fetch logs, from: now()-10m
   | filter deployment.environment == "test-qa"
   | filter dsoa.run.plugin == "event_log"
   | summarize count = count()
   

   Expected: count > 0. If count == 0, trigger the plugin manually:

   snow sql -c snow_agent_test-qa \
       --role DTAGENT_OWNER \
       --warehouse DTAGENT_WH \
       --database DTAGENT_DB \
       --schema APP \
       -q "CALL APP.DTAGENT(ARRAY_CONSTRUCT('event_log'));"
   

Pass criteria:

• BCR-capable account: all four SQL checks pass + telemetry count > 0.
• Pre-BCR account: steps 2–4 skipped (parameter absent), telemetry count > 0.

B12 — disabled_by_default: true config-only redeploy (BDX-1944 / BDX-1905)

From a B1 baseline (all plugins deployed and running):

1. Add plugins.disabled_by_default: true to conf/config-test-qa.yml.

2. Config-only redeploy (AI can run this):

   ./scripts/deploy/deploy.sh test-qa --scope=config --options=skip_confirm
   

3. Verify ALL plugin tasks are suspended — wait ~60 seconds then:

   snow sql -c snow_agent_test-qa \
       --role DTAGENT_OWNER \
       --database DTAGENT_DB \
       --schema APP \
       -q "SHOW TASKS IN DATABASE DTAGENT_DB;"
   

   Expected: Every TASK_DTAGENT_* task shows state = suspended. Zero tasks should be in started state.

4. DQL confirmation — wait for next scheduled task run (up to 5 min), then:

   fetch bizevents, from: now()-10m
   | filter deployment.environment == "test-qa"
   | filter dsoa.run.context == "self_monitoring"
   | filter dsoa.task.exec.status == "STARTED"
   | summarize count = count()
   

   Expected: count == 0 (no new task executions after suspension).

5. Restore config (plugins.disabled_by_default: false) and run --scope=config redeploy to resume tasks before the next scenario.

Pass criteria: All tasks suspended after config-only redeploy; no new STARTED BizEvents within 10 minutes of suspension.

---

B13 — Interactive deploy wizard (BDX-1969)

1. Move the existing config aside:

   mv conf/config-test-qa.yml conf/config-test-qa.yml.bak
   

2. Run the wizard with scripted stdin answers:

   echo -e "test-qa\nmy_account\nmy_user\nmy_warehouse\nmy_database\nmy_schema\nmy_tenant\nmy_token\n" \
     | ./scripts/deploy/deploy.sh test-qa --interactive
   

   Adjust the echo values to match valid Snowflake and Dynatrace settings for the test-qa account.

3. Verify config was generated:

   test -f conf/config-test-qa.yml && yamllint conf/config-test-qa.yml \
     && echo "PASS: config valid" || echo "FAIL: config missing or invalid"
   

4. Verify deployment proceeds — the wizard should call deploy.sh after generating the config. Check that the deploy log shows no fatal errors.

5. Restore original config:

   mv conf/config-test-qa.yml.bak conf/config-test-qa.yml
   

Pass criteria: Wizard generates a valid yamllint-passing config; deployment proceeds without fatal errors.

---

B14 — Non-admin deployment path (BDX-1992)

Tests that query_history plugin still captures warehouse queries via the non-admin fallback when roles.admin: "-" is set.

1. Set roles.admin: "-" in conf/config-test-qa.yml to disable admin role.

2. Full redeploy:

   ./scripts/deploy/deploy.sh test-qa --scope=all --options=skip_confirm
   

3. Trigger query_history manually:

   snow sql -c snow_agent_test-qa \
       --role DTAGENT_OWNER \
       --warehouse DTAGENT_WH \
       --database DTAGENT_DB \
       --schema APP \
       -q "CALL APP.DTAGENT(ARRAY_CONSTRUCT('query_history'));"
   

4. Verify telemetry:

   fetch spans, from: now()-15m
   | filter deployment.environment == "test-qa"
   | filter dsoa.run.plugin == "query_history"
   | summarize count = count()
   

   Expected: count > 0 (non-admin path captures warehouse queries via P_MONITOR_WAREHOUSES fallback procedure).

5. Restore roles.admin to its original value and redeploy.

Pass criteria: query_history telemetry > 0 when admin role is disabled.

---

B15 — Install completeness check (BDX-714)

After a fresh B1 deployment:

1. Run --scope=verify:

   ./scripts/deploy/deploy.sh test-qa --scope=verify --options=skip_confirm
   

2. Verify output:

   • All expected Snowflake objects reported as present
   • Installed version matches src/dtagent/version.py VERSION
   • No "MISSING" or "MISMATCH" lines in output
   • Exit code 0

Pass criteria: --scope=verify exits 0 and reports all objects present with matching version.