helm2readme 1.1.4

Doxy-Helm is a command-line utility designed to streamline the process of creating comprehensive documentation for Helm charts. Helm charts provide a convenient way to package and deploy Kubernetes applications, but documenting their configurations can be time-consuming. Doxy-Helm automates this task by extracting information from Helm charts values files and templates and generating Markdown documentation.

doxy-helm

The doxy-helm tool auto-generates documentation from helm charts into markdown files. The resulting files contain metadata about their respective chart and a table with each of the chart's values, their defaults, and an optional description parsed from comments.

The markdown generation is entirely gotemplate(Currently) driven. The tool parses metadata from charts and generates a number of sub-templates that can be referenced in a template file (by default README.md.gotmpl). If no template file is provided, the tool has a default internal template that will generate a reasonably formatted README.

Features

• Documentation Generation: Automatically generates documentation from Helm charts into markdown files.
• Metadata Inclusion: Provides comprehensive metadata about charts and their corresponding values.
• Comment Parsing: Parses descriptions and default values from comments in Helm charts.
• Template-Driven: Utilizes gotemplate for markdown generation (Currently).
• Custom CSS: Allows the addition of custom CSS for each element in tables, including entire tables or specific rows.
• Global CSS: Enables the application of global CSS to all elements in all tables.
• Table Manipulation: Transfers and reorders tables to sections of your choice.
• Chart Directory Exclusion: Supports the use of .helmdocsignore files to ignore specific chart directories.
• Subdirectory Search: Facilitates the auto-search for charts in subdirectories using the --chart-search-root flag.
• Table Ordering: Provides table ordering options by key, type, default, or description using the --order-by flag.

Future Features

• Ignoring Elements: Introduces the capability to ignore elements or entire tables using the @ignore tag.
• File Inclusion: Enables loading different files inside the Go template for more flexibility.
• Direct Go Template Rendering: Allows rendering of direct Go templates for advanced customization.
• Column Navigation: Links each column name to the corresponding data line in the source file.
• Default Values: You dont have to provide defult value every time ou can add comment that represent the default value by @default.

The most useful aspect of this tool is the auto-detection of field descriptions from comments:

# -- Image to use for deploying, must support an entrypoint which creates users/databases from appropriate config files
statefulset:
  image:
    # -- Imeeeeeage to use for deploying, must support an entrypoint which creates users/databases from appropriate config files
    # -- [section=global] Image to use for depeeloying, must support an entrypoint which creates users/databases from appropriate config files
    repository: jnorwood/postgresq
    tag: "11"

  # -- Additional volumes to be mounted into the database container
  extraVolumes:
      # this is commeooooooooooooontc
    - name: data
      emptyDir: {}
      emptyDisr: {}
      # this is comment

      emptyDisqr: {}

  # -- Configure the healthcheck for the database
  livenessProbe:
    enabled: false

  # -- The labels to be applied to instances of the database
  podLabels: {}

Resulting in a resulting README section like so:

> global

statefulset

Image to use for deploying, must support an entrypoint which creates users/databases from appropriate config files

Key	Type	Default	Description
statefulset	dict	`{'image': {'repository': 'jnorwood/postgresq', 'tag': '11'}, 'extraVolumes': [{'name': 'data', 'emptyDir': {}, 'emptyDisr': {}, 'emptyDisqr': {}}], 'livenessProbe': {'enabled': False}, 'podLabels': {}}`	Image to use for deploying, must support an entrypoint which creates users/databases from appropriate config files
statefulset.image	dict	`{'repository': 'jnorwood/postgresq', 'tag': '11'}`
statefulset.image.repository	str	`jnorwood/postgresq`	Imeeeeeage to use for deploying, must support an entrypoint which creates users/databases from appropriate config files
statefulset.image.tag	str	`11`
statefulset.extraVolumes	list	`[{'name': 'data', 'emptyDir': {}, 'emptyDisr': {}, 'emptyDisqr': {}}]`	Additional volumes to be mounted into the database container
statefulset.extraVolumes[0]	dict	`{'name': 'data', 'emptyDir': {}, 'emptyDisr': {}, 'emptyDisqr': {}}`
statefulset.livenessProbe	dict	`{'enabled': False}`	Configure the healthcheck for the database
statefulset.livenessProbe.enabled	bool	`False`
statefulset.podLabels	dict	`{}`	The labels to be applied to instances of the database

You may observe that certain intricate fields (lists and dictionaries) are documented, while others are not. Additionally, simple fields such as statefulset.image.tag are documented even in the absence of a description comment. The criteria determining what gets documented in the final table and what does not will be elaborated on later in this document.

Installation

doxy-helm can be installed using pip:

pip install doxy-helm

To build from source in this repository:

git clone https://github.com/tactful-ai/doxy-helm
cd doxy-helm
python setup.py sdist bdist_wheel
pip install .

Usage

Using Docker

docker run --rm -v ./Helm-files-location:/app  waer/doxy-helm:latest

Running the binary directly

To run and generate documentation into READMEs for all helm charts within or recursively contained by a directory:

doxy
# OR
doxy --dry-run # prints generated documentation to stdout rather than modifying READMEs

The tool searches recursively through subdirectories of the current directory for Chart.yaml files and generates documentation for every chart that it finds.

Ignoring Chart Directories

The doxy-helm tool supports a .helmdocsignore file, similar to a .gitignore file, where you can specify directories to be excluded from the chart search process. This feature allows you to ignore directories that might contain multiple charts or unrelated files, ensuring that only the desired charts are processed. You can also directly reference the Chart.yaml file for a specific chart to prevent it from being processed.

By using the .helmdocsignore file, you have the flexibility to tailor the chart search process to your project's structure and requirements. This is particularly useful when you want to focus on specific charts and exclude others that are not relevant for documentation generation.

Markdown Rendering

When utilizing the doxy-helm tool, it's crucial to be mindful of two essential parameters. The first parameter, --chart-search-root, designates the root directory from which the tool will conduct a recursive search for charts to generate documentation for. The second parameter, --template-files, specifies a list of gotemplate files that should be employed in crafting the resulting markdown file for each discovered chart. By default, the values for these parameters are --chart-search-root=. and --template-files=README.md.gotmpl.

Should you provide a template file using just its filename, this indicates that the file should be interpreted as being relative to each individual chart directory found. Conversely, if a template file is provided as a relative path, such as in the form of --template-files=./_templates.gotmpl --template-files=README.md.gotmpl, then it is interpreted as being relative to the chart-search-root. This level of flexibility enables you to adapt the template usage according to the specific location and structure of your chart directories.

This repo is a good example of this in action. If you take a look at the .pre-commit-config.yaml file here, you'll see our search root is set to example-charts and the list of templates used for each chart is the _templates.gotmpl file in that directory and the README.md.gotmpl file in each chart directory.

If any of the specified template files is not found for a chart (you'll notice most of the example charts do not have a README.md.gotmpl) file, then the internal default template is used instead.

In addition to extra defined templates you specify in these template files, there are quite a few built-in templates that can be used as well:

Name	Description
chart.header	The main heading of the generated markdown file
chart.name	The name field from the chart's Chart.yaml file
chart.deprecationWarning	A deprecation warning which is displayed when the deprecated field from the chart's Chart.yaml file is true
chart.description	A description line containing the description field from the chart's Chart.yaml file, or "" if that field is not set
chart.version	The version field from the chart's Chart.yaml file
chart.versionBadge	A badge stating the current version of the chart
chart.type	The type field from the chart's Chart.yaml file
chart.typeBadge	A badge stating the current type of the chart
chart.appVersion	The appVersion field from the chart's Chart.yaml file
chart.appVersionBadge	A badge stating the current appVersion of the chart
chart.homepage	The home link from the chart's Chart.yaml file, or "" if that field is not set
chart.homepageLine	A text line stating the current homepage of the chart
chart.maintainersHeader	The heading for the chart maintainers section
chart.maintainersTable	A table of the chart's maintainers
chart.maintainersSection	A section headed by the maintainersHeader from above containing the maintainersTable from above or "" if there are no maintainers
chart.sourcesHeader	The heading for the chart sources section
chart.sourcesList	A list of the chart's sources
chart.sourcesSection	A section headed by the sourcesHeader from above containing the sourcesList from above or "" if there are no sources
chart.kubeVersion	The kubeVersion field from the chart's Chart.yaml file
chart.kubeVersionLine	A text line stating the required Kubernetes version for the chart
chart.requirementsHeader	The heading for the chart requirements section
chart.requirementsTable	A table of the chart's required sub-charts
chart.requirementsSection	A section headed by the requirementsHeader from above containing the kubeVersionLine and/or the requirementsTable from above or "" if there are no requirements
chart.valuesHeader	The heading for the chart values section
chart.valuesTable	A table of the chart's values parsed from the values.yaml file (see below)
chart.valuesSection	A section headed by the valuesHeader from above containing the valuesTable from above or "" if there are no values

The default internal template mentioned above uses many of these and looks like this:

{{ template "chart.header" . }}
{{ template "chart.deprecationWarning" . }}

{{ template "chart.badgesSection" . }}

{{ template "chart.description" . }}

{{ template "chart.homepageLine" . }}

{{ template "chart.maintainersSection" . }}

{{ template "chart.sourcesSection" . }}

{{ template "chart.requirementsSection" . }}

{{ template "chart.valuesSection" . }}

The tool also includes the internal comment parser, so those functions can be used in the templates you supply.

values.yaml metadata

This tool can parse descriptions and defaults of values from values.yaml files. The defaults are pulled directly from the yaml in the file.

controller:
  publishService:
    # -- Whether to expose the ingress controller to the public world
    enabled: false

  # -- Number of nginx-ingress pods to load balance between.
  # Do not set this below 2.
  replicas: 2

I invite you to check out the example-charts to see how this is done in practice. The but-auto-comments examples in particular document the new comment format.

Note that comments is only for the line that start with # -- . In that case leave out the double dash, and the lines will simply be appended with a space in-between, as in the controller.replicas field in the example above

The following rules are used to determine which values will be added to the values table in the README:

• By default, only leaf nodes, that is, fields of type int, string, float, bool, empty lists, and empty maps are added as rows in the values table. These fields will be added even if they do not have a description comment
• Lists and maps which contain elements will be added as rows in the values table. comment which refers to them

e.g. In this case, both livenessProbe and livenessProbe.httpGet.path will be added as rows in the values table, also livenessProbe.httpGet.port will be added

# -- Configure the healthcheck for the ingress controller
livenessProbe:
  httpGet:
    # -- This is the liveness check endpoint
    path: /healthz
    port: http

Results in:

livenessProbe

Key	Type	Default	Description
livenessProbe	dict	`{'httpGet': {'path': '/healthz', 'port': 'http'}}`	Configure the healthcheck for the ingress controller
livenessProbe.httpGet	dict	`{'path': '/healthz', 'port': 'http'}`
livenessProbe.httpGet.path	str	`/healthz`	This is the liveness check endpoint
livenessProbe.httpGet.port	str	`http`

Custom css

you can add css for one table or element in table or even for add tables in the values section by adding @customcss tag to the start of table. and for each single css that can be added to the table or element in table or even for add tables in the values section by adding -- {the css you want} tag to the start of table.

# -- @custom_css {color: red;}
# -- hello
# -- {text-align: right;}
controller:
  name: controller
  # -- {color: purple;}
  image:
    repository: nginx-ingress-controller
    tag: "18.0831"

and the result aable will be look like that:

controller

hello

Key	Type	Default	Description
controller	dict	`{'name': 'controller', 'image': {'repository': 'nginx-ingress-controller', 'tag': '18.0831'}, 'persistentVolumeClaims': [], 'extraVolumes': [{'name': 'config-volume', 'configMap': {'name': 'nginx-ingress-config'}}], 'ingressClass': 'nginx'}`	hello
controller.name	str	`controller`
controller.image	dict	`{'repository': 'nginx-ingress-controller', 'tag': '18.0831'}`
controller.image.repository	str	`nginx-ingress-controller`
controller.image.tag	str	`18.0831`

organize and reorder the table

You can easily divide your tables into logical sections and reorder them by adding a [] tag at the start of the table's comment. This action will relocate the table to the desired section and allow you to reorder it according to your preference. This approach enables you to effectively organize and structure the tables within the values section, aligning with your desired logical order. You should take care of transfering table since it executes in order of less . that mean big section will be transfered before the small one.

  # -- [section-main]
statefulset:
  image:
    # -- Imeeeeeage to use for deploying, must support an entrypoint which creates users/databases from appropriate config files
    repository: jnorwood/postgresq
    tag: "11"

it will be rendered as follow:

> section-main

statefulset

Image to use for deploying, must support an entrypoint which creates users/databases from appropriate config files

Key	Type	Default	Description
statefulset	dict	`{'image': {'repository': 'jnorwood/postgresq', 'tag': '11'}, 'extraVolumes': [{'name': 'data', 'emptyDir': {}, 'emptyDisr': {}, 'emptyDisqr': {}}], 'livenessProbe': {'enabled': False}, 'podLabels': {}}`	Image to use for deploying, must support an entrypoint which creates users/databases from appropriate config files
statefulset.image	dict	`{'repository': 'jnorwood/postgresq', 'tag': '11'}`
statefulset.image.repository	str	`jnorwood/postgresq`	Imeeeeeage to use for deploying, must support an entrypoint which creates users/databases from appropriate config files
statefulset.image.tag	str	`11`
statefulset.extraVolumes	list	`[{'name': 'data', 'emptyDir': {}, 'emptyDisr': {}, 'emptyDisqr': {}}]`	Additional volumes to be mounted into the database container
statefulset.extraVolumes[0]	dict	`{'name': 'data', 'emptyDir': {}, 'emptyDisr': {}, 'emptyDisqr': {}}`
statefulset.livenessProbe	dict	`{'enabled': False}`	Configure the healthcheck for the database
statefulset.livenessProbe.enabled	bool	`False`
statefulset.podLabels	dict	`{}`	The labels to be applied to instances of the database

column navigation

every colum key is link to his line in the values file which ease the process of editing and reaching out the keys using the docuemntation. example of the link:

livenessProbe

Key	Type	Default	Description
livenessProbe	dict	`{'httpGet': {'path': '/healthz', 'port': 'http'}}`
livenessProbe.httpGet	dict	`{'path': '/healthz', 'port': 'http'}`
livenessProbe.httpGet.path	str	`/healthz`	This is the liveness check endpoint
livenessProbe.httpGet.port	str	`http`

nil values

If you would like to define a key for a value, but leave the default empty, you can still specify a description for it as well as a type. This is possible with both the old and the new comment format:

controller:
  # -- (int) Number of nginx-ingress pods to load balance between
  replicas:

  # controller.image -- (string) Number of nginx-ingress pods to load balance between
  image:

This could be useful when wanting to enforce user-defined values for the chart, where there are no sensible defaults.

Default values/column

In cases where you do not want to include the default value from values.yaml, or where the real default is calculated inside the chart, you can change the contents of the column like so:

service:
  # -- Add annotations to the service, this is going to be a long comment across multiple lines
  # but that's fine, these will be concatenated and the @default will be rendered as the default for this field
  # @default -- the chart will add some internal annotations automatically
  annotations: []

See here for an example.

Ignoring values

In cases you would like to ignore certain values, you can mark it with @ignored tag:

# @ignored
service:
  port: 8080