Pyintelowl

* Little fixes and adjustments

* Removed deprecated ask_analysis_result function
* Little fix to a problem in the logs for the ones that use pyintelowl as a library
* Tweaked configuration setup, allowing No Certification Validation
* Added dependabot config and updated dependencies
* Added basic testing suite for CLI

With this, pyintelowl now supports all API endpoints of IntelOwl. :tada:

More info at: https://github.com/intelowlproject/IntelOwl/releases/tag/v2.2.0

This release was created mainly to solve a problem with the installation of the pip package.

Other changes:
* added support for adding tags when requesting a new job
* added support for creating/editing tags
* added support for "generic" classification of observables

**Note: Incompatible with previous versions**

- View [CHANGELOG.md](https://github.com/intelowlproject/pyintelowl/blob/master/.github/CHANGELOG.md#300-httpsgithubcomintelowlprojectpyintelowlreleasestag300)
- Documentation for new version: https://pyintelowl.readthedocs.io/en/stable/

**This version supports only IntelOwl versions >=1.8.0 (about to be released). To interact with previous IntelOwl versions programmatically please refer to pyintelowl version 1.3.5**

* we forced [black](https://github.com/psf/black) style, added linters and precommit configuration. In this way pyintelowl is aligned to IntelOwl.
* we have updated the authentication method from a JWT Token to a simple Token. In this way, it is easier to use pyintelowl for integrations with other products and there are no more concurrency problems on multiple simultaneous requests.

If you were using pyintelowl and IntelOwl before this version, you have to:
* update IntelOwl to version>=1.8.0
* retrieve a new API token from the Django Admin Interface for your user: you have to go in the *Durin* section (click on `Auth tokens`) and generate a key there. This token is valid until manually deleted.