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Inspecting and manipulating the inventory

Warning

Never edit or delete the files /etc/openstack_deploy/openstack_inventory.json or /etc/openstack_deploy/openstack_hostnames_ips.yml. This can lead to file corruptions, and problems with the inventory: hosts and container could disappear and new ones would appear, breaking your existing deployment.

The file scripts/inventory-manage.py is used to produce human readable output based on the /etc/openstack_deploy/openstack_inventory.json file.

The same script can be used to safely remove hosts from the inventory, export the inventory based on hosts, and clear IP addresses from containers within the inventory files.

Operations taken by this script only affect the /etc/opentstack_deploy/openstack_inventory.json file; any new or removed information must be set by running playbooks.

Viewing the inventory

The /etc/openstack_deploy/openstack_inventory.json file is read by default. An alternative file can be specified with --file.

A list of all hosts can be seen with the --list-host/-l argument

To see a listing of hosts and containers by their group, use --list-groups/-g.

To see all of the containers, use --list-containers/-G.

Removing a host

A host can be removed with the --remove-item/-r parameter.

Use the host’s name as an argument.

Exporting host information

Information on a per-host basis can be obtained with the --export/-e parameter.

This JSON output has two top-level keys: hosts and all.

hosts contains a map of a host’s name to its variable and group data.

all contains global network information such as the load balancer IPs and provider network metadata.

Clearing existing container IP addresses

The --clear-ips parameter can be used to remove all container IP address information from the openstack_inventory.json file. Baremetal hosts will not be changed.

This will not change the LXC configuration until the associated playbooks are run and the containers restarted, which will result in API downtime.

Any changes to the containers must also be reflected in the deployment’s load balancer.