Add management command to analyze Kubernetes cluster

[tdruez]

Documentation available at https://scancodeio.readthedocs.io/en/latest/command-line-interface.html#scanpipe-analyze-kubernetes-name

`$ scanpipe analyze-kubernetes <name>`
--------------------------------------

Analyzes all Docker images from a Kubernetes cluster by extracting image references
using ``kubectl`` and creating projects to scan them.

This command connects to your Kubernetes cluster, retrieves all container images
(including init containers) from running pods, and creates projects to analyze each
image for packages, dependencies, and optionally vulnerabilities.

Required arguments:

- ``name`` Project name or prefix for the created projects.

Optional arguments:

- ``--multi`` Create multiple projects (one per image) instead of a single project
  containing all images. When used, each project is named ``<name>: <image-reference>``.

- ``--find-vulnerabilities`` Run the ``find_vulnerabilities`` pipeline during the
  analysis to detect known security vulnerabilities in discovered packages.

- ``--execute`` Execute the pipelines right after project creation.

- ``--async`` Add the pipeline run to the tasks queue for execution by a worker instead
  of running in the current thread.
  Applies only when ``--execute`` is provided.

- ``--namespace NAMESPACE`` Limit the image extraction to a specific Kubernetes
  namespace. If not provided, images from all namespaces are collected.

- ``--context CONTEXT`` Use a specific Kubernetes context. If not provided, the
  current context is used.

- ``--notes NOTES`` Optional notes about the project(s).

- ``--label LABELS`` Optional labels for the project(s). Multiple labels can be
  provided by using this argument multiple times.

- ``--dry-run`` Do not create any projects; just print the images and projects that
  would be created.

- ``--no-global-webhook`` Skip the creation of the global webhook. This option is
  only useful if a global webhook is defined in the settings.

.. note::
    This command requires ``kubectl`` to be installed and configured with access to
    your Kubernetes cluster.

Example: Analyze All Cluster Images
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

To analyze all images from all namespaces in your current Kubernetes cluster::

    $ scanpipe analyze-kubernetes cluster-audit --multi --execute

This creates separate projects for each unique image found in the cluster.

Example: Analyze Production Namespace with Vulnerability Scanning
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

To scan all images in the ``production`` namespace and check for vulnerabilities::

    $ scanpipe analyze-kubernetes prod-security-scan \
        --namespace production \
        --find-vulnerabilities \
        --multi \
        --label "production" \
        --label "security-audit" \
        --execute

Example: Dry Run Before Creating Projects
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

To preview which images would be analyzed without creating any projects::

    $ scanpipe analyze-kubernetes cluster-preview \
        --namespace default \
        --dry-run

This displays all images that would be scanned, allowing you to verify the scope
before running the actual analysis.

Example: Analyze Specific Cluster Context
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

To analyze images from a specific Kubernetes cluster when you have multiple contexts
configured::

    $ scanpipe analyze-kubernetes staging-audit \
        --context staging-cluster \
        --namespace default \
        --multi \
        --execute --async

Example: Single Project for All Images
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

To create one project containing all images from the cluster::

    $ scanpipe analyze-kubernetes full-cluster-scan \
        --find-vulnerabilities \
        --execute

This creates a single project named ``full-cluster-scan`` that analyzes all discovered
images together.

.. tip::
    Use ``--multi`` when analyzing large clusters to create separate projects per image,
    making it easier to track and review results for individual container images.