script

#!/bin/bash
DASHBOARD_DISPLAY_NAME="test bundle-deploy-dashboard-dataset $(uuid)"
if [ -z "$CLOUD_ENV" ]; then
    export TEST_DEFAULT_WAREHOUSE_ID="warehouse-1234"
    echo "warehouse-1234:TEST_DEFAULT_WAREHOUSE_ID" >> ACC_REPLS
fi

export DASHBOARD_DISPLAY_NAME
envsubst < databricks.yml.tmpl > databricks.yml

cleanup() {
    trace $CLI bundle destroy --auto-approve
    rm -f out.requests.txt
}
trap cleanup EXIT

trace $CLI bundle deploy
DASHBOARD_ID=$($CLI bundle summary --output json | jq -r '.resources.dashboards.dashboard1.id')

# Capture the dashboard ID as a replacement.
echo "$DASHBOARD_ID:DASHBOARD_ID" >> ACC_REPLS
add_repl.py "$($CLI lakeview get $DASHBOARD_ID | jq -r '.etag')" ETAG

trace $CLI lakeview get $DASHBOARD_ID | jq '{lifecycle_state, parent_path, path}'

# Verify that the serialized_dashboard datasets have the overridden catalog/schema values.
# The dataset_catalog and dataset_schema parameters should override the values in the datasets.
trace $CLI lakeview get $DASHBOARD_ID | jq '.serialized_dashboard | fromjson | .datasets[] | {catalog, schema}'

# Verify that there is no drift right after deploy.
trace $CLI bundle plan -o json > out.plan.$DATABRICKS_BUNDLE_ENGINE.json

# Modify the direct plan to replace "serialized_dashboard" with a fixture.
# It is normalized on the backend so we cannot compare reliably across local and cloud.
if [ "$DATABRICKS_BUNDLE_ENGINE" = "direct" ]; then
    jq '.plan["resources.dashboards.dashboard1"].remote_state.serialized_dashboard |=
       if . then "[SERIALIZED_FIXTURE]" else . end' \
       out.plan.direct.json > out.plan.direct.json.tmp && mv out.plan.direct.json.tmp out.plan.direct.json
    jq '.plan["resources.dashboards.dashboard1"].changes.serialized_dashboard |=
       if . then {"action": .action, "old": "[SERIALIZED_FIXTURE_OLD]", "new": "[SERIALIZED_FIXTURE_NEW]"} else . end' \
       out.plan.direct.json > out.plan.direct.json.tmp && mv out.plan.direct.json.tmp out.plan.direct.json
fi

# Print API requests made to create the dashboard.
# This verifies that dataset_catalog and dataset_schema are passed to the API.
cat out.requests.txt | \
 jq 'select(.method == "POST")' | \
 jq 'select(.path | contains("/api/2.0/lakeview/dashboards"))' | \
 jq 'select(.path | contains("/published") | not)' \
 > out.post.requests.$DATABRICKS_BUNDLE_ENGINE.txt