- .github
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examples
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dynamic-client
-
notebooks
-
watch
-
yaml_dir
- README.md
- __init__.py
- annotate_deployment.py
- api_discovery.py
- apply_from_dict.py
- apply_from_directory.py
- apply_from_single_file.py
- cluster_scoped_custom_object.py
- cronjob_crud.py
- deployment_create.py
- deployment_crud.py
- duration-gep2257.py
- in_cluster_config.py
- ingress_create.py
- job_crud.py
- multiple_clusters.py
- namespaced_custom_object.py
- node_labels.py
- out_of_cluster_config.py
- pick_kube_config_context.py
- pod_config_list.py
- pod_exec.py
- pod_portforward.py
- remote_cluster.py
- rollout-daemonset.py
- rollout-statefulset.py
-
dynamic-client
- kubernetes
- scripts
- .gitignore
- CHANGELOG.md
- CONTRIBUTING.md
- LICENSE
- MANIFEST.in
- OWNERS
- README.md
- SECURITY_CONTACTS
- code-of-conduct.md
- codecov.yml
- requirements.txt
- setup.cfg
- setup.py
- test-requirements.txt
- tox.ini
Explanation
This code defines a Python class named V1EnvFromSource
which represents an environment variable source in Kubernetes. It’s designed to be used in conjunction with Kubernetes YAML configuration files. The class serves as a container for data related to environment variables, specifically how they are sourced from external resources like ConfigMaps and Secrets.
Let’s break down the core components:
- Attributes:
config_map_ref
: A reference to a ConfigMap. This is used to inject environment variables from a ConfigMap into a pod.prefix
: A string used to prefix environment variable names.secret_ref
: A reference to a Secret. Similar to ConfigMap, it allows injecting environment variables from a Secret.
- Constructor:
- It accepts optional parameters (
config_map_ref
,prefix
,secret_ref
) to initialize the object.
- Properties (
@property
):
- These properties provide controlled access to the attributes of the class, ensuring proper validation and encapsulation.
- Each property getter function allows you to retrieve the value of the corresponding attribute.
- The setters (
@property.setter
) ensure that the value assigned to the attribute follows the defined rules (e.g., type checking).
- Methods:
to_dict()
: This method converts the object to a dictionary representation, useful for serialization or working with JSON data.to_str()
: Converts the object to a string representation usingpprint.pformat
for readability.__repr__()
: Defines how the object is represented when printed or used withpprint
.__eq__()
and__ne__()
: Implement equality and inequality comparisons, checking if two instances have the same attributes.
In essence, this class provides a structured way to manage environment variable sources in a Kubernetes context. The attributes config_map_ref
and secret_ref
allow you to define the origin of environment variables, while the prefix
attribute enables flexible naming conventions. The property getters and setters ensure data integrity, and the methods provide utility functions for serialization, representation, and comparison.
Graph
The graph shows the usage of functions within the codebase.
Select a code symbol to view it's graph