| DEBUG |
run application on debug mode |
| SITE_HOST |
host of site that will be created for Django application |
| RAY_HOST |
Host of Ray head node that will be assigned to default created compute resource |
| DJANGO_SUPERUSER_USERNAME |
username for admin user that is created on launch of container |
| DJANGO_SUPERUSER_PASSWORD |
password for admin user that is created on launch of container |
| DJANGO_SUPERUSER_EMAIL |
email for admin user that is created on launch of container |
| SETTINGS_TOKEN_AUTH_URL |
URL for custom token authentication |
| SETTINGS_TOKEN_AUTH_USER_FIELD |
user field name for custom token authentication mechanism. Default userId. |
| SETTINGS_TOKEN_AUTH_TOKEN_FIELD |
user field name for custom token authentication mechanism. Default apiToken. |
| SETTINGS_AUTH_MECHANISM |
authentication backend mechanism. Default mock_token. Options: mock_token and custom_token. If custom_token is selected then SETTINGS_TOKEN_AUTH_URL must be set. |
| SETTINGS_TOKEN_AUTH_VERIFICATION_URL |
URL for custom token verificaiton |
| SETTINGS_TOKEN_AUTH_VERIFICATION_FIELD |
name of a field to use for token verification |
| RAY_KUBERAY_NAMESPACE |
namespace of kuberay resources. Should match kubernetes namespace |
| RAY_NODE_IMAGE |
Default node image that will be launched on ray cluster creation |
| RAY_CLUSTER_MODE_LOCAL |
0 or 1. 1 for local mode (docker compose), 0 for cluster mode where clusters will be created by kuberay |
| RAY_CLUSTER_MODE_LOCAL_HOST |
if RAY_CLUSTER_MODE_LOCAL set to 1, then this host for ray head node will be used to run all workloads |
| LIMITS_JOBS_PER_USER |
number of concurrent programs/jobs user can run at single point of time |
| LIMITS_MAX_CLUSTERS |
number of compute resources can be allocated in single point of time |
| RAY_CLUSTER_TEMPLATE_CPU |
default compute kuberay template cpu setting |
| RAY_CLUSTER_TEMPLATE_MEM |
default compute kuberay template memory setting |
| RAY_CLUSTER_WORKER_REPLICAS |
worker replicas per cluster |
| RAY_CLUSTER_WORKER_REPLICAS_MAX |
maximum number of worker replicas per cluster |
| RAY_CLUSTER_WORKER_MIN_REPLICAS |
min worker replicas per cluster for auto scaling |
| RAY_CLUSTER_WORKER_MIN_REPLICAS_MAX |
maximum number of min worker replicas per cluster for auto scaling |
| RAY_CLUSTER_WORKER_MAX_REPLICAS |
max replicas per cluster for auto scaling |
| RAY_CLUSTER_WORKER_MAX_REPLICAS_MAX |
maximum number of max worker replicas per cluster for auto scaling |
| RAY_CLUSTER_MAX_READINESS_TIME |
max time in seconds to wait for cluster readiness. Will fail job if cluster is not ready in time. |
| QISKIT_IBM_CHANNEL |
Channel that will be set in env variables in jobs for QiskitRuntimeService client |
| QISKIT_IBM_URL |
Authentication url for QiskitRuntimeService that will be set for each job |
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