helm_deployment
A Helm chart deployment.
Backend: pants.backend.experimental.helm
chart
str
The address of the helm_chart
or helm_artifact
that will be used for this deployment.
dependencies
Iterable[str] | None
None
Addresses to other targets that this target depends on, e.g. ['helloworld/subdir:lib', 'helloworld/main.py:lib', '3rdparty:reqs#django']
.
This augments any dependencies inferred by Pants, such as by analyzing your imports. Use pants dependencies
or pants peek
on this target to get the final result.
See https://www.pantsbuild.org/2.23/docs/using-pants/key-concepts/targets-and-build-files for more about how addresses are formed, including for generated targets. You can also run pants list ::
to find all addresses in your project, or pants list dir
to find all addresses defined in that directory.
If the target is in the same BUILD file, you can leave off the BUILD file path, e.g. :tgt
instead of helloworld/subdir:tgt
. For generated first-party addresses, use ./
for the file path, e.g. ./main.py:tgt
; for all other generated targets, use :tgt#generated_name
.
You may exclude dependencies by prefixing with !
, e.g. ['!helloworld/subdir:lib', '!./sibling.txt']
. Ignores are intended for false positives with dependency inference; otherwise, simply leave off the dependency from the BUILD file.
description
str | None
None
A human-readable description of the target.
Use pants list --documented ::
to see all targets with descriptions.
enable_dns
bool
False
Enables DNS lookups when using the getHostByName
template function.
kubeconform_ignore_missing_schemas
bool | None
None
pants.backend.experimental.helm.check.kubeconform
Whether to fail if there are missing schemas for custom resources.
kubeconform_ignore_sources
Iterable[str] | None
None
pants.backend.experimental.helm.check.kubeconform
Regular expression patterns specifying paths to ignore.
kubeconform_kubernetes_version
str | None
None
pants.backend.experimental.helm.check.kubeconform
Kubernetes version to use for the validation.
kubeconform_reject_kinds
Iterable[str] | None
None
pants.backend.experimental.helm.check.kubeconform
List of kinds or GVKs to reject.
kubeconform_skip_kinds
Iterable[str] | None
None
pants.backend.experimental.helm.check.kubeconform
List of kinds or GVKs to ignore.
kubeconform_strict
bool | None
None
pants.backend.experimental.helm.check.kubeconform
Run Kubeconform in strict mode.
namespace
str | None
None
Kubernetes namespace for the given deployment.
no_hooks
bool
False
If true, none of the lifecycle hooks of the given chart will be included in the deployment.
post_renderers
Iterable[str] | None
None
List of runnable targets to be used to post-process the helm chart after being rendered by Helm.
This is equivalent to the same post-renderer feature already available in Helm with the difference that this supports a list of executables instead of a single one.
When more than one post-renderer is given, they will be combined into a single one in which the input of each of them would be output of the previous one.
release_name
str | None
None
Name of the release used in the deployment. If not set, the target name will be used instead.
skip_crds
bool
False
If true, then does not deploy the Custom Resource Definitions that are defined in the chart.
skip_kubeconform
bool
False
pants.backend.experimental.helm.check.kubeconform
If set to true, do not run any kubeconform checking in this Helm target when running pants check
.
sources
Iterable[str] | None
('*.yaml', '*.yml')
Helm configuration files for a given deployment.
tags
Iterable[str] | None
None
Arbitrary strings to describe a target.
For example, you may tag some test targets with 'integration_test' so that you could run pants --tag='integration_test' test ::
to only run on targets with that tag.
timeout
int | None
None
Timeout in seconds when running a Helm deployment.
values
Dict[str, str] | None
None
Individual values to use when rendering a given deployment.
Value names should be defined using dot-syntax as in the following example:
helm_deployment(
values={
"nameOverride": "my_custom_name",
"image.pullPolicy": "Always",
},
)
Values can be dynamically calculated using interpolation as shown in the following example:
helm_deployment(
values={
"configmap.deployedAt": f"{env('DEPLOY_TIME')}",
},
)
Check the Helm backend documentation on what are the options available and its caveats when making usage of dynamic values in your deployments.