{"cells":[{"cell_type":"markdown","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["RUN002 - Save result in Big Data Cluster\n","========================================\n","\n","Description\n","-----------\n","\n","This notebook saves results (metrics and the .ipynb/.html output) to the\n","Big Data Cluster (that is currently logged in to).\n","\n","### Parameters"]},{"cell_type":"code","execution_count":null,"metadata":{"tags":["parameters"]},"outputs":[],"source":["import os\n","import getpass\n","import datetime\n","\n","app_name = \"app-\" + getpass.getuser().lower() # set default to be app-\u003cusername\u003e\n","app_version = \"v1\"\n","\n","session_start = str(datetime.datetime.utcnow())\n","notebook_path = os.path.join(os.getcwd(), \"output-run505a-sample-notebook.ipynb\")\n","exit_code = \"0\"\n","\n","start = \"\"\n","end = \"\"\n","\n","NOTEBOOK_CELL_TIMEOUT = 600 # Per cell timeout in seconds (10 minutes)"]},{"cell_type":"markdown","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["### Common functions\n","\n","Define helper functions used in this notebook."]},{"cell_type":"code","execution_count":null,"metadata":{"tags":["hide_input"]},"outputs":[],"source":["# Define `run` function for transient fault handling, suggestions on error, and scrolling updates on Windows\n","import sys\n","import os\n","import re\n","import platform\n","import shlex\n","import shutil\n","import datetime\n","\n","from subprocess import Popen, PIPE\n","from IPython.display import Markdown\n","\n","retry_hints = {} # Output in stderr known to be transient, therefore automatically retry\n","error_hints = {} # Output in stderr where a known SOP/TSG exists which will be HINTed for further help\n","install_hint = {} # The SOP to help install the executable if it cannot be found\n","\n","def run(cmd, return_output=False, no_output=False, retry_count=0, base64_decode=False, return_as_json=False, regex_mask=None):\n"," \"\"\"Run shell command, stream stdout, print stderr and optionally return output\n","\n"," NOTES:\n","\n"," 1. Commands that need this kind of ' quoting on Windows e.g.:\n","\n"," kubectl get nodes -o jsonpath={.items[?(@.metadata.annotations.pv-candidate=='data-pool')].metadata.name}\n","\n"," Need to actually pass in as '\"':\n","\n"," kubectl get nodes -o jsonpath={.items[?(@.metadata.annotations.pv-candidate=='\"'data-pool'\"')].metadata.name}\n","\n"," The ' quote approach, although correct when pasting into Windows cmd, will hang at the line:\n"," \n"," `iter(p.stdout.readline, b'')`\n","\n"," The shlex.split call does the right thing for each platform, just use the '\"' pattern for a '\n"," \"\"\"\n"," MAX_RETRIES = 5\n"," output = \"\"\n"," retry = False\n","\n"," # When running `azdata sql query` on Windows, replace any \\n in \"\"\" strings, with \" \", otherwise we see:\n"," #\n"," # ('HY090', '[HY090] [Microsoft][ODBC Driver Manager] Invalid string or buffer length (0) (SQLExecDirectW)')\n"," #\n"," if platform.system() == \"Windows\" and cmd.startswith(\"azdata sql query\"):\n"," cmd = cmd.replace(\"\\n\", \" \")\n","\n"," # shlex.split is required on bash and for Windows paths with spaces\n"," #\n"," cmd_actual = shlex.split(cmd)\n","\n"," # Store this (i.e. kubectl, python etc.) to support binary context aware error_hints and retries\n"," #\n"," user_provided_exe_name = cmd_actual[0].lower()\n","\n"," # When running python, use the python in the ADS sandbox ({sys.executable})\n"," #\n"," if cmd.startswith(\"python \"):\n"," cmd_actual[0] = cmd_actual[0].replace(\"python\", sys.executable)\n","\n"," # On Mac, when ADS is not launched from terminal, LC_ALL may not be set, which causes pip installs to fail\n"," # with:\n"," #\n"," # UnicodeDecodeError: 'ascii' codec can't decode byte 0xc5 in position 4969: ordinal not in range(128)\n"," #\n"," # Setting it to a default value of \"en_US.UTF-8\" enables pip install to complete\n"," #\n"," if platform.system() == \"Darwin\" and \"LC_ALL\" not in os.environ:\n"," os.environ[\"LC_ALL\"] = \"en_US.UTF-8\"\n","\n"," # When running `kubectl`, if AZDATA_OPENSHIFT is set, use `oc`\n"," #\n"," if cmd.startswith(\"kubectl \") and \"AZDATA_OPENSHIFT\" in os.environ:\n"," cmd_actual[0] = cmd_actual[0].replace(\"kubectl\", \"oc\")\n","\n"," # To aid supportability, determine which binary file will actually be executed on the machine\n"," #\n"," which_binary = None\n","\n"," # Special case for CURL on Windows. The version of CURL in Windows System32 does not work to\n"," # get JWT tokens, it returns \"(56) Failure when receiving data from the peer\". If another instance\n"," # of CURL exists on the machine use that one. (Unfortunately the curl.exe in System32 is almost\n"," # always the first curl.exe in the path, and it can't be uninstalled from System32, so here we\n"," # look for the 2nd installation of CURL in the path)\n"," if platform.system() == \"Windows\" and cmd.startswith(\"curl \"):\n"," path = os.getenv('PATH')\n"," for p in path.split(os.path.pathsep):\n"," p = os.path.join(p, \"curl.exe\")\n"," if os.path.exists(p) and os.access(p, os.X_OK):\n"," if p.lower().find(\"system32\") == -1:\n"," cmd_actual[0] = p\n"," which_binary = p\n"," break\n","\n"," # Find the path based location (shutil.which) of the executable that will be run (and display it to aid supportability), this\n"," # seems to be required for .msi installs of azdata.cmd/az.cmd. (otherwise Popen returns FileNotFound) \n"," #\n"," # NOTE: Bash needs cmd to be the list of the space separated values hence shlex.split.\n"," #\n"," if which_binary == None:\n"," which_binary = shutil.which(cmd_actual[0])\n","\n"," # Display an install HINT, so the user can click on a SOP to install the missing binary\n"," #\n"," if which_binary == None:\n"," print(f\"The path used to search for '{cmd_actual[0]}' was:\")\n"," print(sys.path)\n","\n"," if user_provided_exe_name in install_hint and install_hint[user_provided_exe_name] is not None:\n"," display(Markdown(f'HINT: Use [{install_hint[user_provided_exe_name][0]}]({install_hint[user_provided_exe_name][1]}) to resolve this issue.'))\n","\n"," raise FileNotFoundError(f\"Executable '{cmd_actual[0]}' not found in path (where/which)\")\n"," else: \n"," cmd_actual[0] = which_binary\n","\n"," start_time = datetime.datetime.now().replace(microsecond=0)\n","\n"," cmd_display = cmd\n"," if regex_mask is not None:\n"," regex = re.compile(regex_mask)\n"," cmd_display = re.sub(regex, '******', cmd)\n"," \n"," print(f\"START: {cmd_display} @ {start_time} ({datetime.datetime.utcnow().replace(microsecond=0)} UTC)\")\n"," print(f\" using: {which_binary} ({platform.system()} {platform.release()} on {platform.machine()})\")\n"," print(f\" cwd: {os.getcwd()}\")\n","\n"," # Command-line tools such as CURL and AZDATA HDFS commands output\n"," # scrolling progress bars, which causes Jupyter to hang forever, to\n"," # workaround this, use no_output=True\n"," #\n","\n"," # Work around a infinite hang when a notebook generates a non-zero return code, break out, and do not wait\n"," #\n"," wait = True \n","\n"," try:\n"," if no_output:\n"," p = Popen(cmd_actual)\n"," else:\n"," p = Popen(cmd_actual, stdout=PIPE, stderr=PIPE, bufsize=1)\n"," with p.stdout:\n"," for line in iter(p.stdout.readline, b''):\n"," line = line.decode()\n"," if return_output:\n"," output = output + line\n"," else:\n"," if cmd.startswith(\"azdata notebook run\"): # Hyperlink the .ipynb file\n"," regex = re.compile(' \"(.*)\"\\: \"(.*)\"') \n"," match = regex.match(line)\n"," if match:\n"," if match.group(1).find(\"HTML\") != -1:\n"," display(Markdown(f' - \"{match.group(1)}\": \"{match.group(2)}\"'))\n"," else:\n"," display(Markdown(f' - \"{match.group(1)}\": \"[{match.group(2)}]({match.group(2)})\"'))\n","\n"," wait = False\n"," break # otherwise infinite hang, have not worked out why yet.\n"," else:\n"," print(line, end='')\n","\n"," if wait:\n"," p.wait()\n"," except FileNotFoundError as e:\n"," if install_hint is not None:\n"," display(Markdown(f'HINT: Use {install_hint} to resolve this issue.'))\n","\n"," raise FileNotFoundError(f\"Executable '{cmd_actual[0]}' not found in path (where/which)\") from e\n","\n"," exit_code_workaround = 0 # WORKAROUND: azdata hangs on exception from notebook on p.wait()\n","\n"," if not no_output:\n"," for line in iter(p.stderr.readline, b''):\n"," try:\n"," line_decoded = line.decode()\n"," except UnicodeDecodeError:\n"," # NOTE: Sometimes we get characters back that cannot be decoded(), e.g.\n"," #\n"," # \\xa0\n"," #\n"," # For example see this in the response from `az group create`:\n"," #\n"," # ERROR: Get Token request returned http error: 400 and server \n"," # response: {\"error\":\"invalid_grant\",# \"error_description\":\"AADSTS700082: \n"," # The refresh token has expired due to inactivity.\\xa0The token was \n"," # issued on 2018-10-25T23:35:11.9832872Z\n"," #\n"," # which generates the exception:\n"," #\n"," # UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa0 in position 179: invalid start byte\n"," #\n"," print(\"WARNING: Unable to decode stderr line, printing raw bytes:\")\n"," print(line)\n"," line_decoded = \"\"\n"," pass\n"," else:\n","\n"," # azdata emits a single empty line to stderr when doing an hdfs cp, don't\n"," # print this empty \"ERR:\" as it confuses.\n"," #\n"," if line_decoded == \"\":\n"," continue\n"," \n"," print(f\"STDERR: {line_decoded}\", end='')\n","\n"," if line_decoded.startswith(\"An exception has occurred\") or line_decoded.startswith(\"ERROR: An error occurred while executing the following cell\"):\n"," exit_code_workaround = 1\n","\n"," # inject HINTs to next TSG/SOP based on output in stderr\n"," #\n"," if user_provided_exe_name in error_hints:\n"," for error_hint in error_hints[user_provided_exe_name]:\n"," if line_decoded.find(error_hint[0]) != -1:\n"," display(Markdown(f'HINT: Use [{error_hint[1]}]({error_hint[2]}) to resolve this issue.'))\n","\n"," # Verify if a transient error, if so automatically retry (recursive)\n"," #\n"," if user_provided_exe_name in retry_hints:\n"," for retry_hint in retry_hints[user_provided_exe_name]:\n"," if line_decoded.find(retry_hint) != -1:\n"," if retry_count \u003c MAX_RETRIES:\n"," print(f\"RETRY: {retry_count} (due to: {retry_hint})\")\n"," retry_count = retry_count + 1\n"," output = run(cmd, return_output=return_output, retry_count=retry_count)\n","\n"," if return_output:\n"," if base64_decode:\n"," import base64\n"," return base64.b64decode(output).decode('utf-8')\n"," else:\n"," return output\n","\n"," elapsed = datetime.datetime.now().replace(microsecond=0) - start_time\n","\n"," # WORKAROUND: We avoid infinite hang above in the `azdata notebook run` failure case, by inferring success (from stdout output), so\n"," # don't wait here, if success known above\n"," #\n"," if wait: \n"," if p.returncode != 0:\n"," raise SystemExit(f'Shell command:\\n\\n\\t{cmd_display} ({elapsed}s elapsed)\\n\\nreturned non-zero exit code: {str(p.returncode)}.\\n')\n"," else:\n"," if exit_code_workaround !=0 :\n"," raise SystemExit(f'Shell command:\\n\\n\\t{cmd_display} ({elapsed}s elapsed)\\n\\nreturned non-zero exit code: {str(exit_code_workaround)}.\\n')\n","\n"," print(f'\\nSUCCESS: {elapsed}s elapsed.\\n')\n","\n"," if return_output:\n"," if base64_decode:\n"," import base64\n"," return base64.b64decode(output).decode('utf-8')\n"," else:\n"," return output\n","\n","\n","\n","# Hints for tool retry (on transient fault), known errors and install guide\n","#\n","retry_hints = {'azdata': ['Endpoint sql-server-master does not exist', 'Endpoint livy does not exist', 'Failed to get state for cluster', 'Endpoint webhdfs does not exist', 'Adaptive Server is unavailable or does not exist', 'Error: Address already in use', 'Login timeout expired (0) (SQLDriverConnect)', 'SSPI Provider: No Kerberos credentials available', ], 'kubectl': ['A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond', ], 'python': [ ], }\n","error_hints = {'azdata': [['Please run \\'azdata login\\' to first authenticate', 'SOP028 - azdata login', '../common/sop028-azdata-login.ipynb'], ['The token is expired', 'SOP028 - azdata login', '../common/sop028-azdata-login.ipynb'], ['Reason: Unauthorized', 'SOP028 - azdata login', '../common/sop028-azdata-login.ipynb'], ['Max retries exceeded with url: /api/v1/bdc/endpoints', 'SOP028 - azdata login', '../common/sop028-azdata-login.ipynb'], ['Look at the controller logs for more details', 'TSG027 - Observe cluster deployment', '../diagnose/tsg027-observe-bdc-create.ipynb'], ['provided port is already allocated', 'TSG062 - Get tail of all previous container logs for pods in BDC namespace', '../log-files/tsg062-tail-bdc-previous-container-logs.ipynb'], ['Create cluster failed since the existing namespace', 'SOP061 - Delete a big data cluster', '../install/sop061-delete-bdc.ipynb'], ['Failed to complete kube config setup', 'TSG067 - Failed to complete kube config setup', '../repair/tsg067-failed-to-complete-kube-config-setup.ipynb'], ['Data source name not found and no default driver specified', 'SOP069 - Install ODBC for SQL Server', '../install/sop069-install-odbc-driver-for-sql-server.ipynb'], ['Can\\'t open lib \\'ODBC Driver 17 for SQL Server', 'SOP069 - Install ODBC for SQL Server', '../install/sop069-install-odbc-driver-for-sql-server.ipynb'], ['Control plane upgrade failed. Failed to upgrade controller.', 'TSG108 - View the controller upgrade config map', '../diagnose/tsg108-controller-failed-to-upgrade.ipynb'], ['NameError: name \\'azdata_login_secret_name\\' is not defined', 'SOP013 - Create secret for azdata login (inside cluster)', '../common/sop013-create-secret-for-azdata-login.ipynb'], ['ERROR: No credentials were supplied, or the credentials were unavailable or inaccessible.', 'TSG124 - \\'No credentials were supplied\\' error from azdata login', '../repair/tsg124-no-credentials-were-supplied.ipynb'], ['Please accept the license terms to use this product through', 'TSG126 - azdata fails with \\'accept the license terms to use this product\\'', '../repair/tsg126-accept-license-terms.ipynb'], ], 'kubectl': [['no such host', 'TSG010 - Get configuration contexts', '../monitor-k8s/tsg010-get-kubernetes-contexts.ipynb'], ['No connection could be made because the target machine actively refused it', 'TSG056 - Kubectl fails with No connection could be made because the target machine actively refused it', '../repair/tsg056-kubectl-no-connection-could-be-made.ipynb'], ], 'python': [['Library not loaded: /usr/local/opt/unixodbc', 'SOP012 - Install unixodbc for Mac', '../install/sop012-brew-install-odbc-for-sql-server.ipynb'], ['WARNING: You are using pip version', 'SOP040 - Upgrade pip in ADS Python sandbox', '../install/sop040-upgrade-pip.ipynb'], ], }\n","install_hint = {'azdata': [ 'SOP063 - Install azdata CLI (using package manager)', '../install/sop063-packman-install-azdata.ipynb' ], 'kubectl': [ 'SOP036 - Install kubectl command line interface', '../install/sop036-install-kubectl.ipynb' ], }\n","\n","\n","print('Common functions defined successfully.')"]},{"cell_type":"markdown","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["### Get the Kubernetes namespace for the big data cluster\n","\n","Get the namespace of the Big Data Cluster use the kubectl command line\n","interface .\n","\n","**NOTE:**\n","\n","If there is more than one Big Data Cluster in the target Kubernetes\n","cluster, then either:\n","\n","- set \\[0\\] to the correct value for the big data cluster.\n","- set the environment variable AZDATA\\_NAMESPACE, before starting\n"," Azure Data Studio."]},{"cell_type":"code","execution_count":null,"metadata":{"tags":["hide_input"]},"outputs":[],"source":["# Place Kubernetes namespace name for BDC into 'namespace' variable\n","\n","if \"AZDATA_NAMESPACE\" in os.environ:\n"," namespace = os.environ[\"AZDATA_NAMESPACE\"]\n","else:\n"," try:\n"," namespace = run(f'kubectl get namespace --selector=MSSQL_CLUSTER -o jsonpath={{.items[0].metadata.name}}', return_output=True)\n"," except:\n"," from IPython.display import Markdown\n"," print(f\"ERROR: Unable to find a Kubernetes namespace with label 'MSSQL_CLUSTER'. SQL Server Big Data Cluster Kubernetes namespaces contain the label 'MSSQL_CLUSTER'.\")\n"," display(Markdown(f'HINT: Use [TSG081 - Get namespaces (Kubernetes)](../monitor-k8s/tsg081-get-kubernetes-namespaces.ipynb) to resolve this issue.'))\n"," display(Markdown(f'HINT: Use [TSG010 - Get configuration contexts](../monitor-k8s/tsg010-get-kubernetes-contexts.ipynb) to resolve this issue.'))\n"," display(Markdown(f'HINT: Use [SOP011 - Set kubernetes configuration context](../common/sop011-set-kubernetes-context.ipynb) to resolve this issue.'))\n"," raise\n","\n","print(f'The SQL Server Big Data Cluster Kubernetes namespace is: {namespace}')"]},{"cell_type":"markdown","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["### Get the controller username and password\n","\n","Get the controller username and password from the Kubernetes Secret\n","Store and place in the required AZDATA\\_USERNAME and AZDATA\\_PASSWORD\n","environment variables."]},{"cell_type":"code","execution_count":null,"metadata":{"tags":["hide_input"]},"outputs":[],"source":["# Place controller secret in AZDATA_USERNAME/AZDATA_PASSWORD environment variables\n","\n","import os, base64\n","\n","os.environ[\"AZDATA_USERNAME\"] = run(f'kubectl get secret/controller-login-secret -n {namespace} -o jsonpath={{.data.username}}', return_output=True, base64_decode=True)\n","os.environ[\"AZDATA_PASSWORD\"] = run(f'kubectl get secret/controller-login-secret -n {namespace} -o jsonpath={{.data.password}}', return_output=True, base64_decode=True)\n","\n","print(f\"Controller username '{os.environ['AZDATA_USERNAME']}' and password stored in environment variables\")"]},{"cell_type":"markdown","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["### Create HDFS destination path"]},{"cell_type":"code","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["import os\n","\n","# `azdata notebook run` only support string type args, so convert back to datetime\n","#\n","session_start = datetime.datetime.strptime(session_start, '%Y-%m-%d %H:%M:%S.%f')\n","\n","database = \"runner\"\n","result = \"SUCCESS\" if exit_code == \"0\" else \"FAILURE\"\n","\n","destination_basename = os.path.basename(notebook_path)\n","destination_basename = destination_basename.replace(\"output-\", \"\")\n","\n","hdfs_destination = 'app-deploy/{0}-{1}/logs/{2}/{3:02d}/{4:02d}/{5:02d}-{6:02d}-{7}-{8}'.format(\n"," app_name, app_version, \n"," session_start.year, session_start.month, session_start.day, session_start.hour, session_start.minute, \n"," result, \n"," destination_basename)\n","\n","hdfs_destination_html = hdfs_destination.replace('.ipynb', '.html')\n","\n","print(f\"Destination in HDFS: {hdfs_destination}\")"]},{"cell_type":"markdown","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["### Copy notebook output files into Storage Pool\n","\n","Copy the .ipynb and .html to Storage Pool (HDFS)"]},{"cell_type":"code","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["try:\n"," run(\"azdata bdc hdfs cp --from-path {0} --to-path hdfs:/{1}\".format(\n"," notebook_path.replace(\"\\\\\", \"\\\\\\\\\"), hdfs_destination))\n","except SystemExit as ex:\n"," # TODO: workaround \"NOTE: STDERR: ModuleNotFoundError: No module named 'readline'\\n\"\n"," print(\"ERROR: \" + str(ex))\n","\n","html_notebook_path = notebook_path.replace('.ipynb', '.html')\n","if os.path.isfile(html_notebook_path):\n"," try:\n"," run(\"azdata bdc hdfs cp --from-path {0} --to-path hdfs:/{1}\".format(\n"," html_notebook_path.replace(\"\\\\\", \"\\\\\\\\\"), hdfs_destination_html))\n"," except SystemExit as ex:\n"," # TODO: workaround \"NOTE: STDERR: ModuleNotFoundError: No module named 'readline'\\n\"\n"," print(\"ERROR:\" + str(ex))"]},{"cell_type":"markdown","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["### Place `runner-insert-metric-login` secret in AZDATA\\_USERNAME/AZDATA\\_PASSWORD environment variables"]},{"cell_type":"code","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["import os, base64\n","\n","os.environ[\"AZDATA_USERNAME\"] = run(f'kubectl get secret/runner-insert-metric-login-secret -n {namespace} -o jsonpath={{.data.username}}', return_output=True)\n","os.environ[\"AZDATA_USERNAME\"] = base64.b64decode(os.environ[\"AZDATA_USERNAME\"]).decode('utf-8')\n","\n","os.environ[\"AZDATA_PASSWORD\"] = run(f'kubectl get secret/runner-insert-metric-login-secret -n {namespace} -o jsonpath={{.data.password}}', return_output=True)\n","os.environ[\"AZDATA_PASSWORD\"] = base64.b64decode(os.environ[\"AZDATA_PASSWORD\"]).decode('utf-8')\n","\n","print(f\"runner-insert-metric-login username '{os.environ['AZDATA_USERNAME']}' and password stored in environment variables\")"]},{"cell_type":"markdown","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["### Insert results into SQL database\n","\n","Insert the result into the SQL Master Pool using the `insert_metric`\n","procedure, which has the following parameter list:\n","\n"," CREATE OR ALTER PROCEDURE [dbo].[insert_metric]\n"," @session_start DATETIME2, \n"," @app_name SYSNAME,\n"," @app_version SYSNAME,\n"," @notebook_name NVARCHAR(max),\n"," @error_level TINYINT,\n"," @html_notebook_included BIT,\n"," @start DATETIME2,\n"," @end DATETIME2"]},{"cell_type":"code","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["values = \"'{0}', '{1}', '{2}', '{3}', {4}, {5}, '{6}', '{7}'\".format(\n"," session_start,\n"," app_name,\n"," app_version,\n"," destination_basename.replace('.ipynb', ''),\n"," int(exit_code),\n"," os.path.isfile(html_notebook_path),\n"," start,\n"," end)\n","\n","sql = \"EXEC [dbo].[insert_metric] {0}\".format(values)\n","\n","run('azdata sql query --database {0} -q \"{1}\"'.format(database, sql))"]},{"cell_type":"code","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["print(\"Notebook execution is complete.\")"]},{"cell_type":"markdown","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["Related\n","-------\n","\n","- [RUN000 - Setup Master Pool runner infrastructure](../notebook-runner/run000-setup-infrastructure.ipynb)\n","- [RUN001 - Run a notebook](../notebook-runner/run001-run-notebook.ipynb)\n"]}],"nbformat":4,"nbformat_minor":5,"metadata":{"kernelspec":{"name":"python3","display_name":"Python 3"},"pansop":{"related":"RUN000, RUN001","test":{"strategy":"","types":null,"disable":{"reason":"","workitems":null,"types":null}},"target":{"current":"","final":""},"internal":{"parameters":null,"symlink":false},"timeout":"0"},"language_info":{"codemirror_mode":"{ Name: \"\", Version: \"\"}","file_extension":"","mimetype":"","name":"","nbconvert_exporter":"","pygments_lexer":"","version":""},"widgets":[]}}