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Data Values Schema Reference

Overview ¶

This reference covers details of Data Values Schema: supported types and annotations.

For an introduction of Data Values, see Using Data Values.
For details on writing Schema, see Writing Schema.

The Schema Document ¶

Schema is written in YAML.

#@data/values-schema
---
...

where:

the document must be annotated as @data/values-schema
each item in the document declares a Data Value (i.e. an item in the data.values struct).
(optionally) types and default values can be explicitly specified through annotations.
a file containing a Schema document must not contain any other kind of document.

Multiple Schema Documents ¶

In some cases, it is useful to separate Schema into multiple YAML documents (typically in separate files).

When doing so, it becomes relevant to know that Schema Documents are ytt Overlays:

they merge in the same order as overlays, and
one controls that merge via overlay annotations.

Data Value Declarations ¶

Each item in a Schema Document declares a Data Value.

A Data Value declaration has three (3) parts:

the name of the data value,
its default value, and
the type of the value.

Names ¶

A Data Value is referred to by its name (aka “key” or “attribute”).
A Data Value name must be a string.

When using multi-word names, it is recommended to employ snake-case (e.g. database_connection). This principally because:

the underlying programming language in ytt — Starlark — is Pythonic in which identifiers are snake-cased, by convention
as in most modern languages, the dash (i.e. -) is not allowed for identifier names in Starlark (allow characters are: Unicode letters, decimal digits, and underscores _, per the Starlark spec).

Where disallowed characters in names cannot be avoided, references will need to employ either:

the Starlark built-in getattr()

secure: #@ getattr(data.values, "db-conn").secure

(as of v0.31.0) or index notation:

secure: #@ data.values["db-conn"].secure

Default Values ¶

The default value for a Data Value is specified in schema, directly:

the default value for a scalar is the value given;
the default value for a map are all of the items specified in the schema (with their defaults, recursively);
the default value for an array is an empty list (i.e. []).
- the default value for an item in an array are the contents of the item specified in schema (with their defaults, recursively).

Default values can be overridden using the @schema/default annotation.

Defaults for Scalars ¶

When a scalar value is specified, the default is merely that value.

For example,

#@data/values-schema
---
system_domain: ""

load_balancer:
  enabled: true
  
databases:
- name: ""
  adapter: postgresql

system_domain is "" (i.e. an empty string), by default.
load_balancer.enabled is true by default.
databases[].adapter is the string "postgres", by default.

Defaults for Mappings ¶

The set of items of a map are its default: any missing item will be automatically added with its defaults.

For example,

#@data/values-schema
---
load_balancer:
  enabled: true
  static_ip: ""

if load_balancer were omitted from supplied Data Values, entirely, it would default to:

load_balancer.enabled is true
load_balancer.static_ip is ""

if load_balancer is partially specified…

#@data/values
---
load_balancer:
  static_ip: 10.0.101.1

the missing item (here, enabled) is defaulted:

load_balancer.static_ip is "10.0.101.1"
load_balancer.enabled is true

Defaults for Arrays ¶

The default value for all arrays is, by default, an empty array.

This is different from all other types where the default value is literally what is specified in schema. For arrays, it is [] (i.e. an empty array).

This means that the value given for the element is only used to infer the type of the array’s elements.

#@data/values-schema
---
app_domains:
- ""

databases:
- name: ""
  adapter: postgresql
  host: ""
  port: 5432
  user: admin
  secretRef:
    name: ""

app_domains is [] by default. Each item in the array must be a string.
databases is [] by default. Each item in the array must be a map. When an item is added to the array:
- its key must be one of those named in this schema: name, adapter, host, etc.
- if it lacks any of the six keys, they will be added with their default values.

The default value of an array itself can be overridden using the @schema/default annotation.

Types ¶

ytt Schema can infer the type of the Data Value from the following…

Types of Scalars ¶

ytt recognizes the following scalar types:

strings — e.g. "", "ConfigMap", "0xbeadcafe"
integers — e.g. 42
booleans — true, false (and when not strict, yes, no, Y, N, etc.)
floats — e.g. 0.4

Types of Maps ¶

A map is a collection of map items, each a key/value pair.

The schema of a map is inferred from that collection. Each item declares a nested Data Value of the type inferred from the given map item’s value.

For example,

load_balancer:
  enabled: true
  static_ip: ""

where:

load_balancer has a type of a map that has two items:
- one item has a key enabled whose type is a boolean.
- the other item has a key of static_ip and is a string.

Types of Arrays ¶

An array is a sequence of array items.

The schema of an array must contain exactly one (1) item. The type inferred from that item becomes the type of all items in that array. That is, arrays in ytt are homogenous.

For example,

app_domains:
- ""

where:

app_domains has a type of an array. Each element in that array will be a string.
note that the default value for app_domains is an empty list as explained in Defaults for Arrays, above.

`null` Type ¶

The null value means the absence of a value.

In ytt schema, a default value is not permitted to be null (with one exception described in any Type, below). This is because no useful type can be inferred from the value null.

Instead, one provides a non-null default value and annotates the Data Value as “nullable”.

This results in a Data Value whose default value is null, but when set to a non-null value has an explicit type. See @schema/nullable for details.

`any` Type ¶

In certain cases, it may be necessary to relax all restrictions on the type or shape of a Data Value:

the Data Value is a pass-through, where template(s) using it merely insert its value, but care not about the actual contents;
a heterogeneous array is required;
there are multiple possible allowed types for a given Data Value.

This is done by annotating the Data Value as having “any” type. See @schema/type for details.

Annotations ¶

ytt determines the type of each Data Value by inferring it from the value specified in the schema file (as described in Types, above). Currently, there is no way to explicitly set the type of a Data Value.

Configuration Authors can explicit specify the type of a Data Value in two cases that are not inferrable:

overriding the default value (via the @schema/default annotation);
also allowing null (via the @schema/nullable annotation);
allowing any type (via the @schema/type annotation).

@schema/default ¶

Overrides the default value for the annotated node.

#@schema/default default_value

default_value — the value to set as the default for the annotated node.
- this value must be of the same type as the value given on the node.

(as of v0.38.0)

Example 1: Default value for an array of scalars

#@data/values-schema
---
#@schema/default ["apps.example.com", "gateway.example.com"]
app_domains:
- ""

… yields the default:

app_domains:
- apps.example.com
- gateway.example.com

Example 2: Default value for an array of maps

When specifying values for an array of maps, it can quickly become unwieldy to keep on a single line.

To handle these situations, enclose those values in a Fragment function and invoke that function as the value for @schema/default:

#! For best results, declare functions *before* the schema document.
#@ def default_dbs():
- name: core
  host: coredb
  user: app1
- name: audit
  host: metrics.svc.local
  user: observer
#@ end

#@data/values-schema
---
#@schema/default default_dbs()
databases:
- name: ""
  adapter: postgresql
  host: ""
  port: 5432
  user: admin
  secretRef:
    name: ""

Yields the default:

databases:
- name: core
  adapter: postgresql
  host: coredb
  port: 5432
  user: app1
  secretRef:
    name: ""
- name: audit
  adapter: postgresql
  host: metrics.svc.local
  port: 5432
  user: observer
  secretRef:
    name: ""

Note: as the comment in the example schema indicates, it is best to declare the function prior to starting the schema document itself (see https://github.com/carvel-dev/ytt/issues/526 for details).

@schema/nullable ¶

Extends the type of the Data Value to also allow null and sets the default value to be null.

#@schema/nullable

Unset value for strings

The preferred way to express “unset value” for a string-type is not to mark it as “nullable” but to provide the empty value: "". Empty values in Starlark are falsey (details in the Starlark Spec > Booleans).

When empty string is a useful/valid value for a given Data Value, then marking it as “nullable” is appropriate. In this case, one must take care to explicitly check if that Data Value is not None.

Example: Nullable map

#@data/values-schema
---
#@schema/nullable
aws:
  username: admin
  password: "1234"

name: ""

Without other Data Value settings, aws is null by default:

aws: null
name: ""

However, if a Data Value is set:

$ ytt ... --data-value aws.username=sa ...

That effectively sets aws to be non-null: username is set to the custom value and password is defaulted.

aws:
  username: sa
  password: "1234"

name: ""

@schema/type ¶

Explicitly configures the type of the annotated node. Currently, the only supported configuration is whether to allow the “any” type or not.

#@schema/type any=True

where:

any (bool) — whether or not any and all types are permitted on this node and its children.

The annotated node and its nested children are not checked by schema, and has no schema defaulting behavior. However, (as of v0.39.0) any nested @schema annotation that alters type or value of a child would conflict with the fragment’s “any” type, resulting in an error. Otherwise, the annotated node and its children are simply passed-through as a data value.

Example: Using any=True to avoid schema restrictions on an array

#@data/values-schema
---
#@schema/type any=True
app_domains:
  - "carvel.dev"
  - 8080

Example: Error case when setting schema within an any type fragment

#@data/values-schema
---
#@schema/type any=True
app_domains:
  #@schema/default "localhost"
  #@schema/type any=False
  - "carvel.dev"

ytt: Error:
  Invalid schema
  ==============

  Schema was specified within an "any type" fragment
  schema.yml:
    |
  5 |   #@schema/default "localhost"
  6 |   #@schema/type any=False
  7 |   - "carvel.dev"
    |

    = found: @schema/type, @schema/default annotation(s)
    = expected: no '@schema/...' on nodes within a node annotated '@schema/type any=True'

@schema/validation ¶

Attaches a validation to the type being declared by the annotated node.

@schema/validation rule0, rule1, ... [,<named-rules>] [,when=]

where:

ruleX — any number of custom rules, each a 2-item tuple (description, assertion)
- description (string) — a description of what a valid value is.
- assertion (function(value) : bool) — returns True is the value is valid; returns False or fail()s if the value is invalid.
  - value (string | number | bool | yamlfragment) — the value of the annotated node.
  - the message given in the fail() will be incorporated in the violation message.
<named-rules> — a combination of one or more built-in keywords that provide assertion functions for common scenarios.
- for a quick reference, see Validations Cheat Sheet.
- for the complete list, see Named Validation Rules, below.
when= (function(value[, context]) : bool) — criteria for when the validation rules should be checked.
- value (string | int | float | bool | yamlfragment) — the value of the annotated node
- context (optional) — a struct with two attributes (both of the same type as value).
  - parent — the node directly containing the annotated node (in other words, its parent)
  - root — the document in which the annotated node is contained (that is, the root of document resulting from the merge of all data values)

When present, the predicate given for when= is run. If it evaluates to True, the validation is run. For guidance on writing these conditions, see How To Write Validations.

For a quick reference of various rules and idioms, see Schema Validation Cheat Sheet.

Below:

Example 1: Using “named” rules
Example 2: Using when=
Example 3: Accessing other data values within when=
Validation Rule Evaluation
Named Validation Rules

Example 1: Using “named” rules ¶

#@data/values-schema
---
#@schema/validation min_len=1
namespace: ""

#@schema/validation min_len=1
hostname: ""

port:
  #@schema/validation min=1, max=32767
  https: 443

#@schema/validation one_of=["debug", "info", "warning", "error", "fatal"]
logLevel: info

#@schema/nullable
tlsCertificate:
  #@schema/validation min_len=1
  tls.crt: ""
  #@schema/validation min_len=1
  tls.key: ""
  #@schema/nullable
  ca.crt: ""

where:

namespace and hostname are “required” — they will require overrides from the user to pass validation.
- see How to Write Validations: “Required” Data Values
port.https must be between 1 and 32767, inclusive.
logLevel can only be one of the values given
tlsCertificate is optional, by default (and is null)
- however, if one or more of its values are set, then both tls.crt and tls.key are “required”.
- ca.crt is optional (and defaults to null)

Example 2: Using `when=` ¶

#@data/values-schema
---
#@schema/validation ("have 1+ response type", lambda v: len(v["responseTypes"]) > 0), when=lambda v: v["enabled"] == True
oauth2:
  enabled: true
  responseTypes:
    - ""

where:

validation on oauth2 will only be run if oauth2.enabled is true.
v is a YAML Fragment (hence the need for index notation to traverse the tree).

Example 3: Accessing other data values within `when=` ¶

#@data/values-schema
---
credential:
  useDefaultSecret: true
  #@schema/nullable
  #@schema/validation not_null=True, when=lambda _, ctx: ctx.parent["useDefaultSecret"]
  secretContents:
    cloud: ""
backupStorageLocation:
  spec:
    #@schema/nullable
    #@schema/validation not_null=True, when=lambda _, ctx: not ctx.root["credential"]["useDefaultSecret"]
    existingSecret: ""
#@schema/validation ("have 1+ response type", lambda v: len(v["responseTypes"]) > 0), when=lambda v: v["enabled"] == True
oauth2:
  enabled: true
  responseTypes:
    - ""

where:

secretContents validation is dependent on its sibling useDefaultSecret value.
- the value of when= is a lambda expression making it possible to define a function value in-place.
  - Lambda expressions start with the keyword lambda, followed by a parameter list, then a :, and a single expression that is the body of the function. For more detail see Starlark Spec: lambda expression.
- the _ is an idiom for an ignored parameter. Here, the value of secretContents is not being used.
- the optional second parameter ctx where the .parent attribute refers to the value of credential
existingSecret validation is dependent on secretContents which resides in a whole different subset of the data values.
- ctx.root refers to the top-most node of the document resulting from merging of all data values (as described in How It Works: Calculating Data Values).

Validation Rule Evaluation ¶

When a validation runs, all rules are evaluated. Rules are evaluated in the order they appear in the annotation (left-to-right).

The one exception is the not_null= rule:

when present, this rule is evaluated first — regardless of its position on the annotation.
if this rule is not satisfied, no other rules are evaluated.

not_null= behaves this way so that all other rules can assume they are validating a non-null value. This simplifies all other rules as they need not perform a null-check.

Validity:

if all rules pass (i.e. returns True), then the value is valid.
if any rule returns False or fail()’s, then the value is invalid.

Named Validation Rules ¶

There are seven (7) built-in (so-called “named”) rules:

max= — the node’s value must be <= the maximum given
max_len= — the length of node’s value must be <= the maximum given
min= — the node’s value must be >= the minimum given
min_len= — the length of node’s value must be >= the minimum given
not_null= — the node’s value must not be null
one_not_null= — exactly one (1) item in the map is not null.
one_of= — the node’s value must be one from the given set.

Every named rule is also available as a function in the @ytt:assert module. Having a function that behaves identically to the named rule makes it easier to transition to more customized experience.

What follows is a reference for each named rule.

max= ¶

@schema/validation max=maximum

Where:

maximum (int | float | string | bool | list ) — the largest allowable valid value (inclusive); see Starlark: Comparisons for how different values compare.

This keyword is equivalent to:

@schema/validation ("a value less than or equal to", lambda v: v <= maximum)

max_len= ¶

@schema/validation max_len=maximum

Where:

maximum (int) — the longest allowable length (inclusive)

This keyword is equivalent to:

@schema/validation ("length less than or equal to", lambda v: len(v) <= maximum)

min= ¶

@schema/validation min=minimum

Where:

minimum (int | float | string | bool | list ) — the smallest allowable value (inclusive); see Starlark: Comparisons for how different values compare.

This keyword is equivalent to:

@schema/validation ("a value greater than or equal to", lambda v: v >= minimum)

min_len= ¶

@schema/validation min_len=(minimum)

Where:

minimum (int) — the shortest allowable length (inclusive)

This keyword is equivalent to:

@schema/validation ("length greater than or equal to", lambda v: len(v) >= minimum)

not_null= ¶

@schema/validation not_null=(nullable)

Where:

nullable (bool) — whether null is a valid value.

When present, this rule is checked before any other; this allows other rules (including custom rules) to assume the value is not null.

This keyword is equivalent to:

@schema/validation ("not null", lambda v: v != None)

one_not_null= ¶

Requires a map to contain exactly one (1) item that has a non-null value.

@schema/validation one_not_null=([key0, key1,...] | True)

Where:

keyX (string) — keys within the annotated map to check for null/non-null; other map items are ignored.
True — check all contained map items for null/non-null.

Each item that is referenced by this rule is almost always annotated as nullable:

#@schema/validation one_not_null=["item1", "item2", "item3"]
map:
  #@schema/nullable
  item1: ""
  #@schema/nullable
  item2: ""
  #@schema/nullable
  item3: ""
  otherConfig: true

This keyword is equivalent to:

@schema/validation ("exactly one child not null", lambda v: assert.one_not_null([key0, key1,...]))

(see also @ytt:assert.one_not_null())

one_of= ¶

Requires value to be exactly one of the given enumeration.

@schema/validation one_of=[val0, val1, ...]

Where:

[val1, val2, ...] (list/tuple of any type) — the exhaustive set of valid values.

This keyword is equivalent to:

@schema/validation ("one of [val0, val1, ...]", lambda v: v in [val0, val1, ...])

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Data Values Schema Reference

Overview ¶

The Schema Document ¶

Multiple Schema Documents ¶

Data Value Declarations ¶

Names ¶

Default Values ¶

Defaults for Scalars ¶

Defaults for Mappings ¶

Defaults for Arrays ¶

Types ¶

Types of Scalars ¶

Types of Maps ¶

Types of Arrays ¶

null Type ¶

any Type ¶

Annotations ¶

@schema/default ¶

@schema/nullable ¶

@schema/type ¶

@schema/validation ¶

Example 1: Using “named” rules ¶

Example 2: Using when= ¶

Example 3: Accessing other data values within when= ¶

Validation Rule Evaluation ¶

Named Validation Rules ¶

max= ¶

max_len= ¶

min= ¶

min_len= ¶

not_null= ¶

one_not_null= ¶

one_of= ¶

`null` Type ¶

`any` Type ¶

Example 2: Using `when=` ¶

Example 3: Accessing other data values within `when=` ¶