Bucket and BigQuery Dataset created but not able to see metric data

[garg02]

I was able to run full_deploy without issue. I see the various schedulers and gcp resources configured, but the metric data has not populated the Cloud Storage Bucket or the BigQuery dataset.

This is the output of make full_deploy

(base) user@MacBook-Pro gcp-monitoring-metric-exporter % make full_deploy
gcloud functions deploy "metric_exporter" --region="us-central1" --runtime="python37" --trigger-http --source="./cloud_function"
--entry-point="export" --project="" --service-account="metric-exporter-cf-sa@"""".iam.gserviceaccount.com"
--memory=128 --timeout=540
Deploying function (may take a while - up to 2 minutes)...⠛
For Cloud Build Logs, visit: https://console.cloud.google.com/cloud-build/builds;region=us-central1/da9ea4a2-f09e-4c93-840c-a4df7804d1ed?project=773820357926
Deploying function (may take a while - up to 2 minutes)...done.
availableMemoryMb: 128
buildId: da9ea4a2-f09e-4c93-840c-a4df7804d1ed
buildName: projects/773820357926/locations/us-central1/builds/da9ea4a2-f09e-4c93-840c-a4df7804d1ed
dockerRegistry: CONTAINER_REGISTRY
entryPoint: export
httpsTrigger:
securityLevel: SECURE_OPTIONAL
url: https://us-central1-.cloudfunctions.net/metric_exporter
ingressSettings: ALLOW_ALL
labels:
deployment-tool: cli-gcloud
name: projects//locations/us-central1/functions/metric_exporter
runtime: python37
serviceAccountEmail: metric-exporter-cf-sa@.iam.gserviceaccount.com
sourceUploadUrl: https://storage.googleapis.com/uploads-988628145621.us-central1.cloudfunctions.appspot.com/67e0b7f9-1d04-4780-82a8-dc94d1664587.zip
status: ACTIVE
timeout: 540s
updateTime: '2022-07-14T23:58:42.311Z'
versionId: '4'
python validate_filter.py --project="" --filter='metric.type = "compute.googleapis.com/instance/cpu/usage_time"'
Sending request to the server...
Got response from the server
API call tested successfully
python build_message_body.py --project="" --filter='metric.type = "compute.googleapis.com/instance/cpu/usage_time"' --weeks=0 --days=0 --hours=1 --bq_destination_dataset="CPU_USAGE"
--bq_destination_table="cpu" --MSG_TMP_DIR="./msg_tmp" --MSG_BODY_FILE_NAME="msg.json" --BUCKET_NAME="""-metric-exporter" --PAGE_SIZE=500
gcloud scheduler jobs create http "cpu" --project="" --schedule="*/5 * * * *"
--uri=https://"us-central1"-"".cloudfunctions.net/"metric_exporter" --http-method=POST
--headers="Content-Type=application/json,User-Agent=Google-Cloud-Scheduler"
--oidc-service-account-email="metric-exporter-scheduler-sa@"""".iam.gserviceaccount.com"
--message-body-from-file="./msg_tmp""/""msg.json"
--time-zone="UTC"
--location="us-central1"