Why I got an invalid bucket name error using dvc mlflow on macos – Docker

Could anyone tell what’s the reason for error:

botocore.exceptions.ParamValidationError: Parameter validation failed:
Invalid bucket name "": Bucket name must match the regex "^[a-zA-Z0-9.-_]{1,255}$" or be an ARN matching the regex "^arn:(aws).:(s3|s3-object-lambda):[a-z-0-9]:[0-9]{12}:accesspoint[/:][a-zA-Z0-9-.]{1,63}$|^arn:(aws).*:s3-outposts:[a-z-0-9]+:[0-9]{12}:outpost[/:][a-zA-Z0-9-]{1,63}[/:]accesspoint[/:][a-zA-Z0-9-]{1,63}$"

I try to use mlflow with docker.
.env file contains:

AWS_ACCESS_KEY_ID=...
AWS_SECRET_ACCESS_KEY=...
AWS_S3_BUCKET=vla...rts
MLFLOW_S3_ENDPOINT_URL=http://localhost:9000
MLFLOW_TRACKING_URI=http://127.0.0.1:5000
POSTGRES_USER=...
POSTGRES_PASSWORD=...
POSTGRES_DB=test_db

Also tried to use:

AWS_ACCESS_KEY_ID=...
AWS_SECRET_ACCESS_KEY=...
AWS_S3_BUCKET=vla...rts
MLFLOW_S3_ENDPOINT_URL=http://localhost:9000
MLFLOW_TRACKING_URI=http://localhost:5000
POSTGRES_USER=...
POSTGRES_PASSWORD=...
POSTGRES_DB=test_db

docker-compose contains:

... 
   mlflow:
        restart: always
        image: mlflow_server
        container_name: mlflow_server
        ports:
          - "5000:5000"
        networks:
          - postgres
          - s3
        environment:
          - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
          - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
          - MLFLOW_S3_ENDPOINT_URL=http://nginx:9000
        command: mlflow server --backend-store-uri postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db/${POSTGRES_DB} --default-artifact-root s3://${AWS_S3_BUCKET}/ --host 0.0.0.0
...

As I understood, I get an exception cause bucket name is empty (""). But in .env file I set bucket name as vla...rts