[Komal Thareja]

Good morning Bruce,

Thank you for sharing your observations. VM provisioning to the worker (mass-w1.fabric-testbed.net) to which the VM was allocated is not working. We are working to resolve it. In the meanwhile, Please consider creating a slice on a different site or a different worker.

Node can be requested on a specific worker by passing in the host field as below:

node1 = slice.add_node(name="Node1", cores=16, ram=32, site="MASS", image='docker_rocky_8', host="mass-w2.fabric-testbed.net")

Thanks,

Komal

[Komal Thareja]

This looks like a bug and would address this. In the meanwhile, I had modified your script to make it run with the latest fablib to get past this issue. Sharing it here, please note the changes around setting interface mode to auto which lets fablib configure IP addresses and also running post_boot_config() this ensures instantiated is set.

 

• This reply was modified 1 year, 8 months ago by Komal Thareja.

[Komal Thareja]

Thank you for sharing your observations! I created a Fabnet slice via JH and was not able to reproduce this problem.

Could you please share the generated graphml file from the following the code?


slice = fablib.get_slice(slice_id="7e6a41e5-ab21-4cc5-9582-4c37e54dc2d8")
slice.get_fim_topology().serialize(file_name="fabnet-slice.graphml")


I can confirm that the slivers for your slices do have Network and Gateway assigned. Enclosing snapshot for slice: 7e6a41e5-ab21-4cc5-9582-4c37e54dc2d8


Reservation ID: 4c9b702b-1346-4fe5-b61e-f5cb7790e75f Slice ID: 7e6a41e5-ab21-4cc5-9582-4c37e54dc2d8
Resource Type: FABNetv4 Notices: Reservation 4c9b702b-1346-4fe5-b61e-f5cb7790e75f (Slice mtu@AMST(7e6a41e5-ab21-4cc5-9582-4c37e54dc2d8) Graph Id:98452967-6246-4517-a030-7d76d7044d05 Owner:shijunxiao@arizona.edu) is in state (Active,None_)
Start: 2023-09-22 19:56:48 +0000 End: 2023-09-23 19:56:47 +0000 Requested End: 2023-09-23 19:56:47 +0000
Units: 1 State: Active Pending State: None_
Predecessors
1f8599bc-68cb-450a-9c49-962d2f5a5b4f
Sliver: {'node_id': 'be2e2e72-5bdd-4301-98aa-bb9e3fe23a56', 'gateway': 'IPv4 subnet: 10.145.7.0/24 GW: 10.145.7.1', 'layer': 'L3', 'name': 'net4', 'node_map': "('bbf6a0a7-8981-4613-b797-0960e7e8ea9d', 'node+amst-data-sw:ip+192.168.42.3-ipv4-ns')", 'reservation_info': '{"error_message": "", "reservation_id": "4c9b702b-1346-4fe5-b61e-f5cb7790e75f", "reservation_state": "Active"}', 'site': 'AMST', 'type': 'FABNetv4', 'user_data': '{"fablib_data": {"instantiated": "False", "mode": "manual"}}'}
IFS: {'node_id': '115b71f3-5369-490a-a6cc-2d16db3cc8f0', 'capacities': '{ unit: 1 }', 'label_allocations': '{ bdf: 0000:e2:0d.1, mac: 0E:4F:18:21:9F:35, ipv4: 10.145.7.2, vlan: 2103, local_name: HundredGigE0/0/0/9, device_name: amst-data-sw}', 'labels': '{ bdf: 0000:e2:0d.1, mac: 0E:4F:18:21:9F:35, ipv4: 10.145.7.2, vlan: 2103, local_name: HundredGigE0/0/0/9, device_name: amst-data-sw}', 'name': 'node-node-nic0-p1', 'node_map': "('bbf6a0a7-8981-4613-b797-0960e7e8ea9d', 'port+amst-data-sw:HundredGigE0/0/0/9')", 'type': 'ServicePort'}

Reservation ID: d88639a0-3062-43d7-83ed-ccbac797ef29 Slice ID: 7e6a41e5-ab21-4cc5-9582-4c37e54dc2d8
Resource Type: FABNetv6 Notices: Reservation d88639a0-3062-43d7-83ed-ccbac797ef29 (Slice mtu@AMST(7e6a41e5-ab21-4cc5-9582-4c37e54dc2d8) Graph Id:98452967-6246-4517-a030-7d76d7044d05 Owner:shijunxiao@arizona.edu) is in state (Active,None_)
Start: 2023-09-22 19:56:48 +0000 End: 2023-09-23 19:56:47 +0000 Requested End: 2023-09-23 19:56:47 +0000
Units: 1 State: Active Pending State: None_
Predecessors
1f8599bc-68cb-450a-9c49-962d2f5a5b4f
Sliver: {'node_id': '8a23d2b8-af6e-4a60-a34a-a9c913b21f30', 'gateway': 'IPv6: 2602:fcfb:1f:2::/64 GW: 2602:fcfb:1f:2::1', 'layer': 'L3', 'name': 'net6', 'node_map': "('bbf6a0a7-8981-4613-b797-0960e7e8ea9d', 'node+amst-data-sw:ip+192.168.42.3-ipv6-ns')", 'reservation_info': '{"error_message": "", "reservation_id": "d88639a0-3062-43d7-83ed-ccbac797ef29", "reservation_state": "Active"}', 'site': 'AMST', 'type': 'FABNetv6', 'user_data': '{"fablib_data": {"instantiated": "False", "mode": "manual"}}'}
IFS: {'node_id': 'b9f78791-6ef0-4e81-9fee-b081a9485676', 'capacities': '{ unit: 1 }', 'label_allocations': '{ bdf: 0000:e2:08.6, mac: 0A:B1:A5:3F:0F:02, ipv6: 2602:fcfb:1f:2::2, vlan: 2068, local_name: HundredGigE0/0/0/9, device_name: amst-data-sw}', 'labels': '{ bdf: 0000:e2:08.6, mac: 0A:B1:A5:3F:0F:02, ipv6: 2602:fcfb:1f:2::2, vlan: 2068, local_name: HundredGigE0/0/0/9, device_name: amst-data-sw}', 'name': 'node-node-nic1-p1', 'node_map': "('bbf6a0a7-8981-4613-b797-0960e7e8ea9d', 'port+amst-data-sw:HundredGigE0/0/0/9')", 'type': 'ServicePort'}

Thanks,

Komal

[Komal Thareja]

Hi Fraida,

Thank you for reporting this issue. There was a leaked network service. I have cleared it up. Please try your slice again and it should work. Regarding the Slice state, it is a bug and we working on it.

Thanks,

Komal

[Komal Thareja]

The maintenance is complete. Testbed is open for use!

[Komal Thareja]

Thanks Gregory for reporting this. It was indeed a bug when running in script mode. The fix is now available on the main branch for https://github.com/fabric-testbed/fabrictestbed-extensions. The fix is also available in the “Beyond Bleeding Edge Container”

Once the new version for fabrictestbed-extensions==1.5.4 is pushed to pypi it would be available there as well.

Thanks,
Komal

[Komal Thareja]

Thank you for sharing your slice details! Are you running this as a script?
The difference in behavior could be because of the wait handling in Jupyter Notebook v/s a script.
ModifyOK state indicates that the modify was successful.
You can invoke: slice.update() to move the slice into StableOK state.

Connectivity should work as well. Also, could you please share the script you are running so I can emulate this and address the difference in the behavior of the wait to avoid invoking explicit update.

Thanks,
Komal

[Komal Thareja]

Regarding SSH problem, if the Configure Environment Notebook was ran again assuming the same file name was used for the sliver keys, the sliver private/public keys got overwritten. So the SSH keys in ~/work/fabric_config/ are now different than what is in the VM and thus resulting in SSH failures.

You can verify by ls -ltr ~/work/fabric_config

Thanks,
Komal

[Komal Thareja]

Hi Gregory,

Which container are you using? I tried the Ipv4Ext notebook on the “Beyond Bleeding Edge” IPv6Ext from 1.5.3 container and did not see this issue. Also, if you run into this issue, please do not delete the slice. It will help to get the information for the slice for debugging.

Also, please share the output of the following command from your container:
pip list | grep fabric
cat ~/work/fabric_config/requirements.txt

Thanks,
Komal

• This reply was modified 1 year, 9 months ago by Komal Thareja.

[Komal Thareja]

Also, please check that the correct Project Id is passed in your configure environment notebook.

[Komal Thareja]

@Bruce – It looks like Fablib was unable to refresh your token. Could you please Restart your JH container and try again?
You can stop your container via File -> Hub Control Panel -> Stop My Server; logout and login again.

Thanks,
Komal

[Komal Thareja]

Thank you for reporting this issue James! The new image pulled some newer jupyter packages which required change in the way Widgets are installed/registered. This was causing the failure. I have updated the image and deployed the fix. Please try your notebook and let us know if you still observe errors.

Appreciate your help with this!

Thanks,

Komal

[Komal Thareja]

Hello Arash,

Please take a look at this article https://learn.fabric-testbed.net/knowledge-base/install-the-python-api/ on setting up FABlib in your local environment instead of using GKE JH containers.

 

Thanks,

Komal

[Komal Thareja]

Hello Bruce,

Thank you for reporting this issue. The default user for default_centos9_stream is cloud-user instead of centos Our configuration was incorrect and has been updated and the issue has been addressed. Please try a slice and let us know if you still observe any failures or errors.

Also, please note the FABlib uses the default user for default_centos9_stream as centosAny execution of the commands via node.execute() should be pass in the username as cloud-user.

node.execute(‘echo Hello, FABRIC from node hostname -s‘, username=”cloud-user”)

We’ll address this in FABLib as well.

Appreciate your feedback!

Thanks,

Komal

• This reply was modified 1 year, 10 months ago by Komal Thareja.
• This reply was modified 1 year, 10 months ago by Komal Thareja.

[Komal Thareja]

Hey Sarah,

Thank you for reporting this issue and using the workaround yesterday. The fix for this issue has been deployed as well.

Thanks,

Komal

[Author]

Posts