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

Related tags

Deep Learningnautobot-lab
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
GitHub Repository
GuideDog is an AI/ML-based mobile app designed to assist the lives of the visually impaired, 100% voice-controlled

Guidedog Authors: Kyuhee Jo, Steven Gunarso, Jacky Wang, Raghav Sharma GuideDog is an AI/ML-based mobile app designed to assist the lives of the visua

Kyuhee Jo 5 Nov 24, 2021
A DeepStack custom model for detecting common objects in dark/night images and videos.

DeepStack_ExDark This repository provides a custom DeepStack model that has been trained and can be used for creating a new object detection API for d

MOSES OLAFENWA 98 Dec 24, 2022
v objective diffusion inference code for PyTorch.

v-diffusion-pytorch v objective diffusion inference code for PyTorch, by Katherine Crowson (@RiversHaveWings) and Chainbreakers AI (@jd_pressman). The

Katherine Crowson 635 Dec 30, 2022
Neural Cellular Automata + CLIP

🧠 Text-2-Cellular Automata Using Neural Cellular Automata + OpenAI CLIP (Work in progress) Examples Text Prompt: Cthulu is watching cthulu_is_watchin

Mainak Deb 21 Dec 19, 2022
Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"

forward-thinking-pytorch Pytorch implementation of Forward Thinking: Building and Training Neural Networks One Layer at a Time Requirements Python 2.7

Kim Heecheol 65 Oct 06, 2022
Dynamic Bottleneck for Robust Self-Supervised Exploration

Dynamic Bottleneck Introduction This is a TensorFlow based implementation for our paper on "Dynamic Bottleneck for Robust Self-Supervised Exploration"

Bai Chenjia 4 Nov 14, 2022
A proof of concept ai-powered Recaptcha v2 solver

Recaptcha Fullauto I've decided to open source my old Recaptcha v2 solver. My latest version will be opened sourced this summer. I am hoping this proj

Nate 60 Dec 20, 2022
This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.

Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation This repository contains PyTorch evaluation code, trainin

Meta Research 45 Dec 20, 2022
Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022)

Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022) By Shilong Zhang*, Zhuoran Yu*, Liyang Liu*, Xinjiang Wang, Aojun Zhou,

Shilong Zhang 129 Dec 24, 2022
Implements an infinite sum of poisson-weighted convolutions

An infinite sum of Poisson-weighted convolutions Kyle Cranmer, Aug 2018 If viewing on GitHub, this looks better with nbviewer: click here Consider a v

Kyle Cranmer 26 Dec 07, 2022
TuckER: Tensor Factorization for Knowledge Graph Completion

TuckER: Tensor Factorization for Knowledge Graph Completion This codebase contains PyTorch implementation of the paper: TuckER: Tensor Factorization f

Ivana Balazevic 296 Dec 06, 2022
Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation

Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation The code repository for "Audio-Visual Generalized Few-Shot Learning with

Kaiaicy 3 Jun 27, 2022
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation

AtlasNet [Project Page] [Paper] [Talk] AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation Thibault Groueix, Matthew Fisher, Vladimir

577 Dec 17, 2022
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

English | 简体中文 | 繁體中文 | 한국어 State-of-the-art Natural Language Processing for Jax, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrai

Hugging Face 77.4k Jan 05, 2023
FID calculation with proper image resizing and quantization steps

clean-fid: Fixing Inconsistencies in FID Project | Paper The FID calculation involves many steps that can produce inconsistencies in the final metric.

Gaurav Parmar 606 Jan 06, 2023
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification

Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification

DingDing 143 Jan 01, 2023
A library for finding knowledge neurons in pretrained transformer models.

knowledge-neurons An open source repository replicating the 2021 paper Knowledge Neurons in Pretrained Transformers by Dai et al., and extending the t

EleutherAI 96 Dec 21, 2022
Progressive Image Deraining Networks: A Better and Simpler Baseline

Progressive Image Deraining Networks: A Better and Simpler Baseline [arxiv] [pdf] [supp] Introduction This paper provides a better and simpler baselin

190 Dec 01, 2022
DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

Responsible Machine Learning With Great Power Comes Great Responsibility. Voltaire (well, maybe) How to develop machine learning models in a responsib

Model Oriented 590 Dec 26, 2022
The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".

Kernelized-HRM Jiashuo Liu, Zheyuan Hu The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization"[1]. This repo contains the cod

Liu Jiashuo 8 Nov 20, 2022