Add secrets

[worksewell]

This adds secret management for teams, clusters, and projects.

Example usage

$ gradient secrets set team --name=aws_secret_access_key --value=test
Set team secret 'aws_secret_access_key'

$ gradient secrets list team
+-----------------------+
| Name                  |
+-----------------------+
| aws_secret_access_key |
+-----------------------+

$ gradient secrets delete team --name=aws_secret_access_key
Deleted team secret 'aws_secret_access_key'

NOTE: the APIs to support secrets aren't live yet. We should wait to merge until they are available.

[BartoszCki]

You can skip the one commend I made - I'll have to move tags from BaseClient to a separate mixin anyway and I can remove this line while doing so. It now suggests that all entities can have tags.

[worksewell]

@BartoszCki and/or @kossak: I noticed the entity stuff was moved into a mixin (#280) so I removed the entity = "secret" stuff from SecretsClient and rebased master (only two changes I made)

The API's for this are now available, so if either of you could re-approve I can get this merged.

Thanks!

P.S. The tests are failing because it looks like the pre-release of numpy uses an f-string in it's setup.py file which fails in the tox python 3.5 tests (python 3.5 isn't supported by numpy anymore, see numpy/numpy#16294).

Collecting numpy
 
  Downloading numpy-1.19.0rc1.zip (7.3 MB)
 
  Installing build dependencies: started
 
  Installing build dependencies: finished with status 'done'
 
  Getting requirements to build wheel: started
 
  Getting requirements to build wheel: finished with status 'error'
 
  ERROR: Command errored out with exit status 1:
 
   command: /root/project/.tox/py35-pt46-ptc28/bin/python /root/project/.tox/py35-pt46-ptc28/lib/python3.5/site-packages/pip/_vendor/pep517/_in_process.py get_requires_for_build_wheel /tmp/tmpv1nkape2
 
       cwd: /tmp/pip-install-x16himj_/numpy
 
  Complete output (19 lines):
 
  Traceback (most recent call last):
 
    File "/root/project/.tox/py35-pt46-ptc28/lib/python3.5/site-packages/pip/_vendor/pep517/_in_process.py", line 280, in <module>
 
      main()
 
    File "/root/project/.tox/py35-pt46-ptc28/lib/python3.5/site-packages/pip/_vendor/pep517/_in_process.py", line 263, in main
 
      json_out['return_val'] = hook(**hook_input['kwargs'])
 
    File "/root/project/.tox/py35-pt46-ptc28/lib/python3.5/site-packages/pip/_vendor/pep517/_in_process.py", line 114, in get_requires_for_build_wheel
 
      return hook(config_settings)
 
    File "/tmp/pip-build-env-0boduin5/overlay/lib/python3.5/site-packages/setuptools/build_meta.py", line 148, in get_requires_for_build_wheel
 
      config_settings, requirements=['wheel'])
 
    File "/tmp/pip-build-env-0boduin5/overlay/lib/python3.5/site-packages/setuptools/build_meta.py", line 128, in _get_build_requires
 
      self.run_setup()
 
    File "/tmp/pip-build-env-0boduin5/overlay/lib/python3.5/site-packages/setuptools/build_meta.py", line 250, in run_setup
 
      self).run_setup(setup_script=setup_script)
 
    File "/tmp/pip-build-env-0boduin5/overlay/lib/python3.5/site-packages/setuptools/build_meta.py", line 143, in run_setup
 
      exec(compile(code, __file__, 'exec'), locals())
 
    File "setup.py", line 182
 
      raise ValueError(f'Submodule {p} missing')
 
                                              ^
 
  SyntaxError: invalid syntax
 
  ----------------------------------------
 
ERROR: Command errored out with exit status 1: /root/project/.tox/py35-pt46-ptc28/bin/python /root/project/.tox/py35-pt46-ptc28/lib/python3.5/site-packages/pip/_vendor/pep517/_in_process.py get_requires_for_build_wheel /tmp/tmpv1nkape2 Check the logs for full command output.

[mkulaczkowski]

Tests are failing

[worksewell]

@mkulaczkowski Yes, the comment above describes why and they are currently broken on master (see https://github.com/Paperspace/gradient-cli/commits/master).

Do want to remove Python 3.5 support (other options include locking version of numpy to <v1.19 or reverting the addition of gradient-utils to the cli)?

UPDATE: It looks like numpy was added as a dependency via the addition of gradient-utils to the dependency list in this PR #281 (gradient-utils -> hyperopt -> numpy). The offending version of numpy was v.1.19rc1 which was released 4 days ago (https://github.com/numpy/numpy/releases/tag/v1.19.0rc1).