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K8s Support for SDK (#146)
* First pass on just the basics * Added namespace retrieval and dashboard route access via kubernetes * Added exception handling * Remove unnecessary comment * Change AW fs loading to k8s and begin converting unit tests * Finished unit test update * Update requirements * Get cluster (#189) * Add: get_cluster function to get cluster with specified name and namespace * Test: make unit tests for get_cluster function * Fix: unit test failing because of ray cluster obj changed (#208) * Remove oc client and add helper functions (#187) * Remove oc client and add helper functions * Updates for error checking * make sure tests run without oc login * Removing CLI appwrapper generation * Updated import --------- Co-authored-by: Mustafa Eyceoz <meyceoz@redhat.com> * Remove unused import * Update authentication for K8s (#237) * Updated authentication for Kubernetes * Updated template name and comment * Updated login functionality * Altered config_check() function * Altered comments and changed config_check() function * Added logic for handling current namespace when a user authenticates via kube client * Changed formatting * Made handler functions generic and altered get_current_namespace() functionality * Changed error message for cluster configuration * Removed default values for token + server * Added check for correct credentials * Changed how using certs works with certifi.where * Added unit tests for new authentication methods * Fixed formatting and updated .gitignore to include test created files * Fixed .gitignore * Updated unit authentication tests --------- Co-authored-by: Carson Harrell <64709520+carsonmh@users.noreply.github.com> Co-authored-by: ted chang <htchang@us.ibm.com> Co-authored-by: Mark Campbell <markcampbell114@gmail.com>
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‎.gitignore‎

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@@ -7,3 +7,5 @@ Pipfile.lock
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poetry.lock
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.venv*
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build/
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tls-cluster-namespace
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quicktest.yaml

‎demo-notebooks/interactive/local_interactive.ipynb‎

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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"id": "4364ac2e-dd10-4d30-ba66-12708daefb3f",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Written to: hfgputest-1.yaml\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"# Create our cluster and submit appwrapper\n",
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"namespace = \"default\"\n",
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "12eef53c",
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"metadata": {},
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": null,
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"id": "cf1b749e-2335-42c2-b673-26768ec9895d",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"rayclient-hfgputest-1-default.apps.tedbig412.cp.fyre.ibm.com\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import openshift as oc\n",
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"from codeflare_sdk.utils import generate_cert\n",
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"\n",
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"if local_interactive:\n",
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" generate_cert.generate_tls_cert(cluster_name, namespace)\n",
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" generate_cert.export_env(cluster_name, namespace)\n",
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"\n",
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"with oc.project(namespace):\n",
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" routes=oc.selector(\"route\").objects()\n",
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" rayclient_url=\"\"\n",
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" for r in routes:\n",
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" if \"rayclient\" in r.name():\n",
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" rayclient_url=r.model.spec.host\n",
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"print(rayclient_url)"
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" generate_cert.export_env(cluster_name, namespace)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "9483bb98-33b3-4beb-9b15-163d7e76c1d7",
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"metadata": {
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"scrolled": true,
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2023-05-31 14:12:37,816\tINFO client_builder.py:251 -- Passing the following kwargs to ray.init() on the server: logging_level\n",
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"2023-05-31 14:12:37,820\tDEBUG worker.py:378 -- client gRPC channel state change: ChannelConnectivity.IDLE\n",
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"2023-05-31 14:12:38,034\tDEBUG worker.py:378 -- client gRPC channel state change: ChannelConnectivity.CONNECTING\n",
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"2023-05-31 14:12:38,246\tDEBUG worker.py:378 -- client gRPC channel state change: ChannelConnectivity.READY\n",
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"2023-05-31 14:12:38,290\tDEBUG worker.py:807 -- Pinging server.\n",
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"2023-05-31 14:12:40,521\tDEBUG worker.py:640 -- Retaining 00ffffffffffffffffffffffffffffffffffffff0100000001000000\n",
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"2023-05-31 14:12:40,523\tDEBUG worker.py:564 -- Scheduling task get_dashboard_url 0 b'\\x00\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x01\\x00\\x00\\x00\\x01\\x00\\x00\\x00'\n",
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"2023-05-31 14:12:40,535\tDEBUG worker.py:640 -- Retaining c8ef45ccd0112571ffffffffffffffffffffffff0100000001000000\n",
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"2023-05-31 14:12:41,379\tDEBUG worker.py:636 -- Releasing c8ef45ccd0112571ffffffffffffffffffffffff0100000001000000\n"
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"2023-06-27 19:14:16,088\tINFO client_builder.py:251 -- Passing the following kwargs to ray.init() on the server: logging_level\n",
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"2023-06-27 19:14:16,100\tDEBUG worker.py:378 -- client gRPC channel state change: ChannelConnectivity.IDLE\n",
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"2023-06-27 19:14:16,308\tDEBUG worker.py:378 -- client gRPC channel state change: ChannelConnectivity.CONNECTING\n",
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"2023-06-27 19:14:16,434\tDEBUG worker.py:378 -- client gRPC channel state change: ChannelConnectivity.READY\n",
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"2023-06-27 19:14:16,436\tDEBUG worker.py:807 -- Pinging server.\n",
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"2023-06-27 19:14:18,634\tDEBUG worker.py:640 -- Retaining 00ffffffffffffffffffffffffffffffffffffff0100000001000000\n",
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"2023-06-27 19:14:18,635\tDEBUG worker.py:564 -- Scheduling task get_dashboard_url 0 b'\\x00\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x01\\x00\\x00\\x00\\x01\\x00\\x00\\x00'\n",
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"2023-06-27 19:14:18,645\tDEBUG worker.py:640 -- Retaining c8ef45ccd0112571ffffffffffffffffffffffff0100000001000000\n",
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"2023-06-27 19:14:19,454\tDEBUG worker.py:636 -- Releasing c8ef45ccd0112571ffffffffffffffffffffffff0100000001000000\n"
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]
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{
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" </tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left\"><b>Dashboard:</b></td>\n",
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" <td style=\"text-align: left\"><b><a href=\"http://10.254.12.141:8265\" target=\"_blank\">http://10.254.12.141:8265</a></b></td>\n",
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" <td style=\"text-align: left\"><b><a href=\"http://10.254.20.41:8265\" target=\"_blank\">http://10.254.20.41:8265</a></b></td>\n",
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"</tr>\n",
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"\n",
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" </table>\n",
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" </div>\n",
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"</div>\n"
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],
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"text/plain": [
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"ClientContext(dashboard_url='10.254.12.141:8265', python_version='3.8.13', ray_version='2.1.0', ray_commit='23f34d948dae8de9b168667ab27e6cf940b3ae85', protocol_version='2022-10-05', _num_clients=1, _context_to_restore=<ray.util.client._ClientContext object at 0x10e5d2bb0>)"
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"ClientContext(dashboard_url='10.254.20.41:8265', python_version='3.8.13', ray_version='2.1.0', ray_commit='23f34d948dae8de9b168667ab27e6cf940b3ae85', protocol_version='2022-10-05', _num_clients=1, _context_to_restore=<ray.util.client._ClientContext object at 0x108ca2730>)"
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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"import ray\n",
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"\n",
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"ray.shutdown()\n",
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"ray.init(address=f\"ray://{rayclient_url}\", logging_level=\"DEBUG\")"
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"ray.init(address=cluster.local_client_url(), logging_level=\"DEBUG\")"
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]
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},
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 7,
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"id": "3436eb4a-217c-4109-a3c3-309fda7e2442",
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},
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"cell_type": "code",
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"id": "5cca1874-2be3-4631-ae48-9adfa45e3af3",
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"name": "stderr",
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"text": [
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"2023-05-31 14:13:29,868\tDEBUG worker.py:640 -- Retaining 00ffffffffffffffffffffffffffffffffffffff0100000002000000\n",
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"2023-05-31 14:13:29,870\tDEBUG worker.py:564 -- Scheduling task heavy_calculation 0 b'\\x00\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x01\\x00\\x00\\x00\\x02\\x00\\x00\\x00'\n"
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"2023-06-27 19:14:28,222\tDEBUG worker.py:640 -- Retaining 00ffffffffffffffffffffffffffffffffffffff0100000002000000\n",
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"2023-06-27 19:14:28,222\tDEBUG worker.py:564 -- Scheduling task heavy_calculation 0 b'\\x00\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x01\\x00\\x00\\x00\\x02\\x00\\x00\\x00'\n"
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"2023-05-31 14:13:32,643\tDEBUG worker.py:640 -- Retaining 16310a0f0a45af5cffffffffffffffffffffffff0100000001000000\n",
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"2023-05-31 14:13:34,677\tDEBUG worker.py:439 -- Internal retry for get [ClientObjectRef(16310a0f0a45af5cffffffffffffffffffffffff0100000001000000)]\n"
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"2023-06-27 19:14:29,202\tDEBUG worker.py:640 -- Retaining 16310a0f0a45af5cffffffffffffffffffffffff0100000001000000\n",
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"2023-06-27 19:14:31,224\tDEBUG worker.py:439 -- Internal retry for get [ClientObjectRef(16310a0f0a45af5cffffffffffffffffffffffff0100000001000000)]\n"
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"1789.4644387076714"
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]
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"execution_count": 9,
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"2023-05-31 14:13:37,659\tDEBUG dataclient.py:287 -- Got unawaited response connection_cleanup {\n",
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"2023-06-27 19:14:33,161\tDEBUG dataclient.py:287 -- Got unawaited response connection_cleanup {\n",
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"2023-05-31 14:13:38,681\tDEBUG dataclient.py:278 -- Shutting down data channel.\n"
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"2023-06-27 19:14:34,460\tDEBUG dataclient.py:278 -- Shutting down data channel.\n"
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"execution_count": 11,
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"id": "2c198f1f-68bf-43ff-a148-02b5cb000ff2",
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"metadata": {},
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"outputs": [],

‎pyproject.toml‎

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openshift-client = "1.0.18"
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rich = "^12.5"
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ray = {version = "2.5.0", extras = ["default"]}
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kubernetes = "25.3.0"
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kubernetes = ">= 25.3.0, < 27"
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codeflare-torchx = "0.6.0.dev0"
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cryptography = "40.0.2"
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executing = "1.2.0"
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[tool.poetry.group.docs]
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optional = true

‎requirements.txt‎

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kubernetes>=25.3.0,<27
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codeflare-torchx==0.6.0.dev0
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pydantic<2 # 2.0+ broke ray[default] see detail: https://github.com/ray-project/ray/pull/37000
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cryptography==40.0.2
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executing==1.2.0

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