All-in-one Docker container that allows a user to explore Nautobot in a lab environment.

Overview

Nautobot Lab

This container is not for production use!

Nautobot Lab is an all-in-one Docker container that allows a user to quickly get an instance of Nautobot up and running with minimal effort.

This image is for the purposes of "kicking the tires" of Nautobot. Utilize nautobot-lab to quickly see if Nautobot is right for you and your organization.

It bears repeating, nautobot-lab is NOT a ready for production container. If you wish to use Nautobot in production, please refer to the Nautobot documentation.

Running from Docker Hub

Building the container yourself isn't needed to get up and running quickly. The image is hosted on Docker Hub for public consumption, and you can download and start it with a single command. You will still need to create a Super User as shown below.

docker run -itd --name nautobot -p 8000:8000 networktocode/nautobot-lab

Because this image is an all-in-one container (with Nautobot, PostgreSQL, and Redis), it will take a few seconds to download the container, and then about 30 seconds more for all of the services to start and stabilize. Once the container has started and all services have stabilized, the web interface can be accessed via http://localhost:8000.

If you wish, you can also check the health status of the container by running the following command:

docker ps | grep nautobot

You are waiting for the container to be in a healthy state as shown below.

99c9312e0409   networktocode/nautobot-lab     "/usr/local/bin/supe…"   3 minutes ago   Up 3 minutes (healthy)   0.0.0.0:8000->8000/tcp, :::8000->8000/tcp

Building the container

The container can be built locally, if preferred.

  1. Clone the repository.

    git clone https://github.com/nautobot/nautobot-lab.git
  2. Enter the nautobot-lab directory.

  3. Build the image.

    docker build -t nautobot-lab:latest .

Running the container from a local build

docker run -itd --name nautobot -p 8000:8000 nautobot-lab

Creating a Super User

Once the container has started and all the services have stabilized, you will need to create a superuser account to start exploring Nautobot. The nautobot-server createsuperuser command will prompt you for a username, email address, and password. The email address is unused in this particular workflow and can be left blank.

% docker exec -it nautobot nautobot-server createsuperuser
Username (leave blank to use 'root'): ntc
Email address: [email protected]
Password:
Password (again):
Superuser created successfully.

Kick the Tires

At this point, Nautobot can be accessed at http://localhost:8000 with the user credentials that were created.

Explore, test, create, destroy, do whatever you like in this lab instance of Nautobot.

If you have any questions, don't hesitate to reach out in the #Nautobot channel on the Network To Code Slack instance, we'll be happy to assist you!

If you're not a member, you can join the Slack instance here.

Nautobot/

Comments
  • Nautobot-Lab Latest Programming Error When Get on DCIM/Device

    Nautobot-Lab Latest Programming Error When Get on DCIM/Device

    Setup

    1. Pull latest images
    2. Run docker command
    3. Load demo data (to get the API key)

    Error Execution

    1. Navigate to the API
    2. Navigate to dcim/devices/ GET method
    3. On name key search for ams-leaf-01
    4. Receive a programming error
    {
      "error": "relation \"extras_configcontext_device_types\" does not exist\nLINE 1: ...V0.\"id\" = V13.\"configcontext_id\") LEFT OUTER JOIN \"extras_co...\n                                                             ^\n",
      "exception": "ProgrammingError",
      "nautobot_version": "1.0.2",
      "python_version": "3.8.5"
    }
    

    This is not present on demo.nautobot.com nor on a pip installed version of Nautobot.

    opened by jvanderaa 5
  • Unable to install nautobot_netbox_importer plugin

    Unable to install nautobot_netbox_importer plugin

    Hello, I'm trying to install nautobot_netbox_importer but, I'm not able to build image with plugin configured.

    Environment

    • Python version: 3.8.5
    • Nautobot version: Nautobot-Lab 1.0.0b4
    • nautobot-netbox-importer version: Version 1.2.1

    Expected Behavior

    Nautobot-lab image built with nautobot_netbox_importer plugin

    What happened instead?

    Unable to find plugin nautobot_netbox_importer

    #17 61.21 TASK [RUN MAKEMIGRATIONS] ******************************************************
    #17 61.57 fatal: [localhost]: FAILED! => {"changed": true, "cmd": ["/opt/nautobot/bin/nautobot-server", "makemigrations"], 
    "delta": "0:00:00.184857", "end": "2021-04-22 07:25:17.981318", "msg": "non-zero return code", "rc": 1, "start": "2021-04-22 
    07:25:17.796461", "stderr": "Traceback (most recent call last):\n  File \"/opt/nautobot/lib/python3.8/site-
    packages/nautobot/extras/plugins/utils.py\", line 63, in load_plugin\n    plugin = importlib.import_module(plugin_name)\n  File
     \"/usr/lib/python3.8/importlib/__init__.py\", line 127, in import_module\n    return _bootstrap._gcd_import(name[level:], package, level)\n  File \"<frozen importlib._bootstrap>\", line 1014, in _gcd_import\n  File \"<frozen importlib._bootstrap>\", line 991, in 
    _find_and_load\n  File \"<frozen importlib._bootstrap>\", line 973, in _find_and_load_unlocked\nModuleNotFoundError: No 
    module named 'nautobot_netbox_importer'\n\nThe above exception was the direct cause of the following 
    exception:\n\nTraceback (most recent call last):\n  File \"/opt/nautobot/lib/python3.8/site-
    packages/nautobot/core/runner/runner.py\", line 118, in settings_callback\n    initializer(\n  File 
    \"/opt/nautobot/lib/python3.8/site-packages/nautobot/core/cli.py\", line 178, in _configure_settings\n    load_plugins(settings)\n  File \"/opt/nautobot/lib/python3.8/site-packages/nautobot/extras/plugins/utils.py\", line 53, in load_plugins\n   
     load_plugin(plugin_name, settings)\n  File \"/opt/nautobot/lib/python3.8/site-packages/nautobot/extras/plugins/utils.py\", line 66, in load_plugin\n    raise PluginNotFound(\nnautobot.extras.plugins.exceptions.PluginNotFound: Unable to import plugin 
    nautobot_netbox_importer: Module not found. Check that the plugin module has been installed within the correct Python 
    environment.", "stderr_lines": ["Traceback (most recent call last):", "  File \"/opt/nautobot/lib/python3.8/site-
    packages/nautobot/extras/plugins/utils.py\", line 63, in load_plugin", "    plugin = importlib.import_module(plugin_name)", "  File \"/usr/lib/python3.8/importlib/__init__.py\", line 127, in import_module", "    return _bootstrap._gcd_import(name[level:], package, level)", "  File \"<frozen importlib._bootstrap>\", line 1014, in _gcd_import", "  File \"<frozen importlib._bootstrap>\", line 991
    , in _find_and_load", "  File \"<frozen importlib._bootstrap>\", line 973, in _find_and_load_unlocked", "ModuleNotFoundError: No module named 'nautobot_netbox_importer'", "", "The above exception was the direct cause of the following exception:", "", 
    "Traceback (most recent call last):", "  File \"/opt/nautobot/lib/python3.8/site-packages/nautobot/core/runner/runner.py\", line
    118, in settings_callback", "    initializer(", "  File \"/opt/nautobot/lib/python3.8/site-packages/nautobot/core/cli.py\", line 178, i
    n _configure_settings", "    load_plugins(settings)", "  File \"/opt/nautobot/lib/python3.8/site-
    packages/nautobot/extras/plugins/utils.py\", line 53, in load_plugins", "    load_plugin(plugin_name, settings)", "  File 
    \"/opt/nautobot/lib/python3.8/site-packages/nautobot/extras/plugins/utils.py\", line 66, in load_plugin", "    raise 
    PluginNotFound(", "nautobot.extras.plugins.exceptions.PluginNotFound: Unable to import plugin nautobot_netbox_importer:
     Module not found. Check that the plugin module has been installed within the correct Python environment."], "stdout": "", 
    "stdout_lines": []}
    
    PluginNotFound(", "nautobot.extras.plugins.exceptions.PluginNotFound: 
    Unable to import plugin nautobot_netbox_importer: Module not found. 
    Check that the plugin module has been installed within the correct Python environment."], "stdout": "", "stdout_lines": []}
    

    Steps to Reproduce

    1. Edit templates/requirements.txt
      • Add line nautobot-netbox-importer
    2. Edit templates/nautobot_config.py
      • Edit variable PLUGINS = ["nautobot_netbox_importer"]
    3. Edit Dockerfile
      • trying to install nautobot-netbox-importer extra RUN pip3 install nautobot-netbox-importer
    4. Build nautobot-lab image
      • docker build -t nautobot-lab:latest .
        • Error occurs

    Am I missing some other configuration?

    opened by Kani999 4
  • supervisord problem

    supervisord problem

    Hi, when I deployed autobot docker image from https://hub.docker.com/r/networktocode/nautobot-lab via gitlab to Kubernetes. Image not works Error: could not read config file /etc/supervisord.conf For help, use /usr/local/bin/supervisord -h When run image locally in docker so works fine.

    opened by breedjaram 1
  • Update DB Variables to be ENV Variables

    Update DB Variables to be ENV Variables

    Fixes #16

    This gives the power user the ability to utilize an external database for testing.

    • moved tzseeds.txt, supervisord.conf, and requirements.txt to the ./templates folder to reduce the number of COPY commands in the Dockerfile.
    • pb_nautobot_install.yml now sets up the supervisord.conf file.
    opened by jtdub 1
  • Error Running on Ubuntu 20.04 (WSL2)

    Error Running on Ubuntu 20.04 (WSL2)

    2021-03-05 15:14:48,528 CRIT Supervisor is running as root.  Privileges were not dropped because no user is specified in the config file.  If you intend to run as root, you can set user=root in the config file to avoid this message.
    2021-03-05 15:14:48,529 INFO supervisord started with pid 7
    2021-03-05 15:14:49,535 INFO spawned: 'nautobot' with pid 9
    2021-03-05 15:14:49,542 INFO spawned: 'nautobot-rq' with pid 10
    2021-03-05 15:14:49,543 INFO spawned: 'postgresql-server' with pid 11
    2021-03-05 15:14:49,544 INFO spawned: 'redis-server' with pid 12
    2021-03-05 15:14:50,599 INFO success: postgresql-server entered RUNNING state, process has stayed up for > than 1 seconds (startsecs)
    2021-03-05 15:14:50,599 INFO exited: nautobot (exit status 1; not expected)
    2021-03-05 15:14:50,608 INFO exited: nautobot-rq (exit status 1; not expected)
    2021-03-05 15:14:51,610 INFO spawned: 'nautobot' with pid 23
    2021-03-05 15:14:51,612 INFO spawned: 'nautobot-rq' with pid 24
    2021-03-05 15:14:52,634 INFO success: redis-server entered RUNNING state, process has stayed up for > than 3 seconds (startsecs)
    2021-03-05 15:14:52,634 INFO exited: nautobot (exit status 1; not expected)
    2021-03-05 15:14:52,638 INFO exited: nautobot-rq (exit status 1; not expected)
    2021-03-05 15:14:54,641 INFO spawned: 'nautobot' with pid 31
    2021-03-05 15:14:54,642 INFO spawned: 'nautobot-rq' with pid 32
    2021-03-05 15:14:55,663 INFO exited: nautobot-rq (exit status 1; not expected)
    2021-03-05 15:14:55,665 INFO exited: nautobot (exit status 1; not expected)
    2021-03-05 15:14:58,669 INFO spawned: 'nautobot' with pid 39
    2021-03-05 15:14:58,671 INFO spawned: 'nautobot-rq' with pid 40
    2021-03-05 15:14:59,628 INFO exited: nautobot-rq (exit status 1; not expected)
    2021-03-05 15:14:59,631 INFO gave up: nautobot-rq entered FATAL state, too many start retries too quickly
    2021-03-05 15:14:59,631 INFO exited: nautobot (exit status 1; not expected)
    2021-03-05 15:14:59,948 INFO gave up: nautobot entered FATAL state, too many start retries too quickly
    
    The above exception was the direct cause of the following exception:
    Traceback (most recent call last):
      File "/usr/local/bin/nautobot-server", line 8, in <module>
        sys.exit(main())
      File "/usr/local/lib/python3.8/dist-packages/nautobot/core/cli.py", line 55, in main
        run_app(
      File "/usr/local/lib/python3.8/dist-packages/nautobot/core/runner/runner.py", line 268, in run_app
        management.execute_from_command_line([runner_name, command] + command_args)
      File "/usr/local/lib/python3.8/dist-packages/django/core/management/__init__.py", line 401, in execute_from_command_line
        utility.execute()
      File "/usr/local/lib/python3.8/dist-packages/django/core/management/__init__.py", line 377, in execute
        django.setup()
      File "/usr/local/lib/python3.8/dist-packages/django/__init__.py", line 24, in setup
        apps.populate(settings.INSTALLED_APPS)
      File "/usr/local/lib/python3.8/dist-packages/django/apps/registry.py", line 122, in populate
        app_config.ready()
      File "/usr/local/lib/python3.8/dist-packages/nautobot/extras/apps.py", line 19, in ready
        wrap_model_clean_methods()
      File "/usr/local/lib/python3.8/dist-packages/nautobot/extras/plugins/validators.py", line 43, in wrap_model_clean_methods
        for model in ContentType.objects.filter(FeatureQuery("custom_validators").get_query()):
      File "/usr/local/lib/python3.8/dist-packages/django/db/models/query.py", line 287, in __iter__
        self._fetch_all()
      File "/usr/local/lib/python3.8/dist-packages/cacheops/query.py", line 273, in _fetch_all
        return self._no_monkey._fetch_all(self)
      File "/usr/local/lib/python3.8/dist-packages/django/db/models/query.py", line 1308, in _fetch_all
        self._result_cache = list(self._iterable_class(self))
      File "/usr/local/lib/python3.8/dist-packages/django/db/models/query.py", line 53, in __iter__
        results = compiler.execute_sql(chunked_fetch=self.chunked_fetch, chunk_size=self.chunk_size)
      File "/usr/local/lib/python3.8/dist-packages/django/db/models/sql/compiler.py", line 1154, in execute_sql
        cursor = self.connection.cursor()
      File "/usr/local/lib/python3.8/dist-packages/django/utils/asyncio.py", line 26, in inner
        return func(*args, **kwargs)
      File "/usr/local/lib/python3.8/dist-packages/django/db/backends/base/base.py", line 259, in cursor
        return self._cursor()
      File "/usr/local/lib/python3.8/dist-packages/django/db/backends/base/base.py", line 235, in _cursor
        self.ensure_connection()
      File "/usr/local/lib/python3.8/dist-packages/django/utils/asyncio.py", line 26, in inner
        return func(*args, **kwargs)
      File "/usr/local/lib/python3.8/dist-packages/django/db/backends/base/base.py", line 219, in ensure_connection
        self.connect()
      File "/usr/local/lib/python3.8/dist-packages/django/db/utils.py", line 90, in __exit__
        raise dj_exc_value.with_traceback(traceback) from exc_value
      File "/usr/local/lib/python3.8/dist-packages/django/db/backends/base/base.py", line 219, in ensure_connection
        self.connect()
      File "/usr/local/lib/python3.8/dist-packages/django/utils/asyncio.py", line 26, in inner
        return func(*args, **kwargs)
      File "/usr/local/lib/python3.8/dist-packages/django/db/backends/base/base.py", line 200, in connect
        self.connection = self.get_new_connection(conn_params)
      File "/usr/local/lib/python3.8/dist-packages/django/utils/asyncio.py", line 26, in inner
        return func(*args, **kwargs)
      File "/usr/local/lib/python3.8/dist-packages/django/db/backends/postgresql/base.py", line 187, in get_new_connection
        connection = Database.connect(**conn_params)
      File "/usr/local/lib/python3.8/dist-packages/psycopg2/__init__.py", line 127, in connect
        conn = _connect(dsn, connection_factory=connection_factory, **kwasync)
    django.db.utils.OperationalError: FATAL:  the database system is starting up
    FATAL:  the database system is starting up
    
    [email protected]:/opt/nautobot# cat postgres-error.log
    2021-03-05 15:17:28.086 CST [11] LOG:  starting PostgreSQL 12.6 (Ubuntu 12.6-0ubuntu0.20.04.1) on x86_64-pc-linux-gnu, compiled by gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0, 64-bit
    2021-03-05 15:17:28.087 CST [11] LOG:  listening on IPv4 address "127.0.0.1", port 5432
    2021-03-05 15:17:28.087 CST [11] LOG:  could not bind IPv6 address "::1": Cannot assign requested address
    2021-03-05 15:17:28.087 CST [11] HINT:  Is another postmaster already running on port 5432? If not, wait a few seconds and retry.
    2021-03-05 15:17:28.098 CST [11] LOG:  listening on Unix socket "/var/run/postgresql/.s.PGSQL.5432"
    2021-03-05 15:17:28.119 CST [16] LOG:  database system was interrupted; last known up at 2021-03-05 14:47:03 CST
    2021-03-05 15:17:28.863 CST [19] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:28.864 CST [21] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:28.865 CST [20] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:28.865 CST [22] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:30.856 CST [27] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:30.856 CST [29] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:30.857 CST [28] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:30.857 CST [30] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:33.808 CST [35] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:33.808 CST [36] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:33.808 CST [37] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:33.808 CST [38] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:37.835 CST [43] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:37.835 CST [44] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:37.836 CST [45] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:37.836 CST [46] [email protected] FATAL:  the database system is starting up
    2021-03-05 15:17:38.866 CST [16] LOG:  database system was not properly shut down; automatic recovery in progress
    2021-03-05 15:17:38.872 CST [16] LOG:  redo starts at 0/16486C0
    2021-03-05 15:17:38.902 CST [16] LOG:  invalid record length at 0/1A5DC68: wanted 24, got 0
    2021-03-05 15:17:38.902 CST [16] LOG:  redo done at 0/1A5DC40
    2021-03-05 15:17:39.804 CST [11] LOG:  database system is ready to accept connections
    

    Essentially supervisord is giving up on nautobot before postgresql has completely started up.

    opened by jtdub 1
  • Bump ansible from 3.2.0 to 4.2.0 in /templates

    Bump ansible from 3.2.0 to 4.2.0 in /templates

    Bumps ansible from 3.2.0 to 4.2.0.

    Commits

    Dependabot compatibility score

    Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


    Dependabot commands and options

    You can trigger Dependabot actions by commenting on this PR:

    • @dependabot rebase will rebase this PR
    • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
    • @dependabot merge will merge this PR after your CI passes on it
    • @dependabot squash and merge will squash and merge this PR after your CI passes on it
    • @dependabot cancel merge will cancel a previously requested merge and block automerging
    • @dependabot reopen will reopen this PR if it is closed
    • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
    • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
    • @dependabot use these labels will set the current labels as the default for future PRs for this repo and language
    • @dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language
    • @dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language
    • @dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

    You can disable automated security fix PRs for this repo from the Security Alerts page.

    dependencies 
    opened by dependabot[bot] 0
  • Error on manual build of nautobot-lab

    Error on manual build of nautobot-lab

    Running docker build -t nautobot-lab:latest . on a Digital Ocean Droplet running Ubuntu 18.04 (LTS) x64 encounters the following error:

    TASK [RUN MAKEMIGRATIONS] ******************************************************
    fatal: [localhost]: FAILED! => {"changed": true, "cmd": ["/opt/nautobot/bin/nautobot-server", "makemigrations"], "delta": "0:00:02.240716", "end": "2022-09-14 19:03:14.698676", "msg": "non-zero return code", "rc": 1, "start": "2022-09-14 19:03:12.457960", "stderr": "Traceback (most recent call last):\n  File \"/opt/nautobot/bin/nautobot-server\", line 8, in <module>\n    sys.exit(main())\n  File \"/opt/nautobot/lib/python3.8/site-packages/nautobot/core/cli.py\", line 54, in main\n    run_app(\n  File \"/opt/nautobot/lib/python3.8/site-packages/nautobot/core/runner/runner.py\", line 266, in run_app\n    management.execute_from_command_line([runner_name, command] + command_args)\n  File \"/opt/nautobot/lib/python3.8/site-packages/django/core/management/__init__.py\", line 401, in execute_from_command_line\n    utility.execute()\n  File \"/opt/nautobot/lib/python3.8/site-packages/django/core/management/__init__.py\", line 377, in execute\n    django.setup()\n  File \"/opt/nautobot/lib/python3.8/site-packages/django/__init__.py\", line 24, in setup\n    apps.populate(settings.INSTALLED_APPS)\n  File \"/opt/nautobot/lib/python3.8/site-packages/django/apps/registry.py\", line 114, in populate\n    app_config.import_models()\n  File \"/opt/nautobot/lib/python3.8/site-packages/django/apps/config.py\", line 211, in import_models\n    self.models_module = import_module(models_module_name)\n  File \"/usr/lib/python3.8/importlib/__init__.py\", line 127, in import_module\n    return _bootstrap._gcd_import(name[level:], package, level)\n  File \"<frozen importlib._bootstrap>\", line 1014, in _gcd_import\n  File \"<frozen importlib._bootstrap>\", line 991, in _find_and_load\n  File \"<frozen importlib._bootstrap>\", line 975, in _find_and_load_unlocked\n  File \"<frozen importlib._bootstrap>\", line 671, in _load_unlocked\n  File \"<frozen importlib._bootstrap_external>\", line 848, in exec_module\n  File \"<frozen importlib._bootstrap>\", line 219, in _call_with_frames_removed\n  File \"/opt/nautobot/lib/python3.8/site-packages/django_celery_beat/models.py\", line 246, in <module>\n    class CrontabSchedule(models.Model):\n  File \"/opt/nautobot/lib/python3.8/site-packages/django_celery_beat/models.py\", line 301, in CrontabSchedule\n    timezone = timezone_field.TimeZoneField(\n  File \"/opt/nautobot/lib/python3.8/site-packages/timezone_field/fields.py\", line 88, in __init__\n    super(TimeZoneField, self).__init__(*args, **kwargs)\nTypeError: __init__() got an unexpected keyword argument 'use_pytz'", "stderr_lines": ["Traceback (most recent call last):", "  File \"/opt/nautobot/bin/nautobot-server\", line 8, in <module>", "    sys.exit(main())", "  File \"/opt/nautobot/lib/python3.8/site-packages/nautobot/core/cli.py\", line 54, in main", "    run_app(", "  File \"/opt/nautobot/lib/python3.8/site-packages/nautobot/core/runner/runner.py\", line 266, in run_app", "    management.execute_from_command_line([runner_name, command] + command_args)", "  File \"/opt/nautobot/lib/python3.8/site-packages/django/core/management/__init__.py\", line 401, in execute_from_command_line", "    utility.execute()", "  File \"/opt/nautobot/lib/python3.8/site-packages/django/core/management/__init__.py\", line 377, in execute", "    django.setup()", "  File \"/opt/nautobot/lib/python3.8/site-packages/django/__init__.py\", line 24, in setup", "    apps.populate(settings.INSTALLED_APPS)", "  File \"/opt/nautobot/lib/python3.8/site-packages/django/apps/registry.py\", line 114, in populate", "    app_config.import_models()", "  File \"/opt/nautobot/lib/python3.8/site-packages/django/apps/config.py\", line 211, in import_models", "    self.models_module = import_module(models_module_name)", "  File \"/usr/lib/python3.8/importlib/__init__.py\", line 127, in import_module", "    return _bootstrap._gcd_import(name[level:], package, level)", "  File \"<frozen importlib._bootstrap>\", line 1014, in _gcd_import", "  File \"<frozen importlib._bootstrap>\", line 991, in _find_and_load", "  File \"<frozen importlib._bootstrap>\", line 975, in _find_and_load_unlocked", "  File \"<frozen importlib._bootstrap>\", line 671, in _load_unlocked", "  File \"<frozen importlib._bootstrap_external>\", line 848, in exec_module", "  File \"<frozen importlib._bootstrap>\", line 219, in _call_with_frames_removed", "  File \"/opt/nautobot/lib/python3.8/site-packages/django_celery_beat/models.py\", line 246, in <module>", "    class CrontabSchedule(models.Model):", "  File \"/opt/nautobot/lib/python3.8/site-packages/django_celery_beat/models.py\", line 301, in CrontabSchedule", "    timezone = timezone_field.TimeZoneField(", "  File \"/opt/nautobot/lib/python3.8/site-packages/timezone_field/fields.py\", line 88, in __init__", "    super(TimeZoneField, self).__init__(*args, **kwargs)", "TypeError: __init__() got an unexpected keyword argument 'use_pytz'"], "stdout": "", "stdout_lines": []}
    
    PLAY RECAP *********************************************************************
    localhost                  : ok=15   changed=14   unreachable=0    failed=1    skipped=0    rescued=0    ignored=0
    
    The command '/bin/sh -c apt-get update -y &&     apt-get install -y tzdata --no-install-recommends &&     ln -fs /usr/share/zoneinfo/UTC /etc/localtime &&     dpkg-reconfigure -f noninteractive tzdata &&     apt-get install -y python3 python3-psycopg2 python3-pip       python3-venv python3-dev python3-apt postgresql-12       libpq-dev redis-server systemctl git --no-install-recommends &&     pip3 install --no-cache-dir pip --upgrade &&     pip install --no-cache-dir --requirement ./templates/requirements.txt &&     ansible-galaxy collection install community.postgresql &&     ansible-playbook pb_nautobot_install.yml &&     pip uninstall -y ansible &&     apt-get clean &&     rm -rf /var/lib/apt/lists/*' returned a non-zero code: 2
    
    opened by joelwking 0
  • Predefined Superuser

    Predefined Superuser

    I was looking to deploy Nautobot in GCP Cloud Run, but there is no "docker exec" equivalent to allow creation of the first superuser. Would it be possible to provide an iniial superuser, or some environment variables to allow creation of the first superuser at build time? Thanks :-)

    opened by jamesholland-uk 0
  • Adds basic plugins

    Adds basic plugins

    Addresses issue https://github.com/nautobot/nautobot-lab/issues/26

    The following plugins are installed:

    • nautobot-device-onboarding
    • nautobot-circuit-maintenance
    • nautobot-data-validation-engine
    • nautobot-capacity-metrics
    • nautobot-golden-config
    • nautobot-plugin-nornir
    • nautobot-netbox-importer
    • nautobot-chatops
    opened by mundruid 0
  • Feature: Additional Plugins

    Feature: Additional Plugins

    Does it make since to include some default plugins here such as:

    nautobot-capacity-metrics nautobot-chatops nautobot-device-onboarding nautobot-golden-config

    opened by nniehoff 3
Releases(1.2.7)
Owner
Nautobot
Network Source of Truth and Network Automation Platform
Nautobot
Vehicles Counting using YOLOv4 + DeepSORT + Flask + Ngrok

A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok

Duong Tran Thanh 37 Dec 16, 2022
[ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang

Self-Damaging Contrastive Learning Introduction The recent breakthrough achieved by contrastive learning accelerates the pace for deploying unsupervis

VITA 51 Dec 29, 2022
[CVPR'21] Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration

Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration This repository contains the implementation of our paper Locally Aware Pi

sfwang 70 Dec 19, 2022
Binary Passage Retriever (BPR) - an efficient passage retriever for open-domain question answering

BPR Binary Passage Retriever (BPR) is an efficient neural retrieval model for open-domain question answering. BPR integrates a learning-to-hash techni

Studio Ousia 147 Dec 07, 2022
PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)

PyExplainer PyExplainer is a local rule-based model-agnostic technique for generating explanations (i.e., why a commit is predicted as defective) of J

AI Wizards for Software Management (AWSM) Research Group 14 Nov 13, 2022
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving Code will be available soon. Motivation Architecture

Kai Chen 24 Apr 19, 2022
A nutritional label for food for thought.

Lexiscore As a first effort in tackling the theme of information overload in content consumption, I've been working on the lexiscore: a nutritional la

Paul Bricman 34 Nov 08, 2022
Pytorch implementation of the paper "Topic Modeling Revisited: A Document Graph-based Neural Network Perspective"

Graph Neural Topic Model (GNTM) This is the pytorch implementation of the paper "Topic Modeling Revisited: A Document Graph-based Neural Network Persp

Dazhong Shen 8 Sep 14, 2022
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis Andreas Bl

CompVis Heidelberg 36 Dec 25, 2022
ANN model for prediction a spatio-temporal distribution of supercooled liquid in mixed-phase clouds using Doppler cloud radar spectra.

VOODOO Revealing supercooled liquid beyond lidar attenuation Explore the docs » Report Bug · Request Feature Table of Contents About The Project Built

remsens-lim 2 Apr 28, 2022
The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification".

Rule-based Representation Learner This is a PyTorch implementation of Rule-based Representation Learner (RRL) as described in NeurIPS 2021 paper: Scal

Zhuo Wang 53 Dec 17, 2022
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Intro This repository contains code to generate data and reproduce experiments from our NeurIPS 2019 paper: Boris Knyazev, Graham W. Taylor, Mohamed R

Boris Knyazev 242 Jan 06, 2023
So-ViT: Mind Visual Tokens for Vision Transformer

So-ViT: Mind Visual Tokens for Vision Transformer        Introduction This repository contains the source code under PyTorch framework and models trai

Jiangtao Xie 44 Nov 24, 2022
Aggragrating Nested Transformer Official Jax Implementation

NesT is a simple method, which aggragrates nested local transformers on image blocks. The idea makes vision transformers attain better accuracy, data efficiency, and convergence on the ImageNet bench

Google Research 169 Dec 20, 2022
Dictionary Learning with Uniform Sparse Representations for Anomaly Detection

Dictionary Learning with Uniform Sparse Representations for Anomaly Detection Implementation of the Uniform DL Representation for AD algorithm describ

Paul Irofti 1 Nov 23, 2022
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

deepface Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid

Sefik Ilkin Serengil 5.2k Jan 02, 2023
This is the repository for Learning to Generate Piano Music With Sustain Pedals

SusPedal-Gen This is the official repository of Learning to Generate Piano Music With Sustain Pedals Demo Page Dataset The dataset used in this projec

Joann Ching 12 Sep 02, 2022
Heat transfer problemas solved using python

heat-transfer Heat transfer problems solved using python isolation-convection.py compares the temperature distribution on the problem as shown in the

2 Nov 14, 2021
DumpSMBShare - A script to dump files and folders remotely from a Windows SMB share

DumpSMBShare A script to dump files and folders remotely from a Windows SMB shar

Podalirius 178 Jan 06, 2023
PyTorch Implementation of Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation.

DosGAN-PyTorch PyTorch Implementation of Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation

40 Nov 30, 2022