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@ -32,7 +32,7 @@ The context also defines a *merge strategy* that determines how changes are merg
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When you create a new blank schematic with the [Schematics CLI](#cli), the generated entry function is a *rule factory*.
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When you create a new blank schematic with the [Schematics CLI](#cli), the generated entry function is a *rule factory*.
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A `RuleFactory`object defines a higher-order function that creates a `Rule`.
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A `RuleFactory`object defines a higher-order function that creates a `Rule`.
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<code-example language="TypeScript">
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<code-example language="TypeScript" header="index.ts">
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import { Rule, SchematicContext, Tree } from '@angular-devkit/schematics';
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import { Rule, SchematicContext, Tree } from '@angular-devkit/schematics';
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// You don't have to export the function as default.
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// You don't have to export the function as default.
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@ -49,7 +49,7 @@ You need a rule, for example, to define how a template in the schematic is to be
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Rules can make use of utilities provided with the `@schematics/angular` package. Look for helper functions for working with modules, dependencies, TypeScript, AST, JSON, Angular CLI workspaces and projects, and more.
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Rules can make use of utilities provided with the `@schematics/angular` package. Look for helper functions for working with modules, dependencies, TypeScript, AST, JSON, Angular CLI workspaces and projects, and more.
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<code-example language="none">
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<code-example language="TypeScript" header="index.ts">
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import {
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import {
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JsonAstObject,
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JsonAstObject,
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@ -69,8 +69,191 @@ Rules can collect option values from the caller and inject them into templates.
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The options available to your rules, with their allowed values and defaults, are defined in the schematic's JSON schema file, `<schematic>/schema.json`.
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The options available to your rules, with their allowed values and defaults, are defined in the schematic's JSON schema file, `<schematic>/schema.json`.
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You can define variable or enumerated data types for the schema using TypeScript interfaces.
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You can define variable or enumerated data types for the schema using TypeScript interfaces.
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The schema defines the types and default values of variables used in the schematic.
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For example, the hypothetical "Hello World" schematic might have the following schema.
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<code-example language="json" header="src/hello-world/schema.json">
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{
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"properties": {
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"name": {
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"type": "string",
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"minLength": 1,
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"default": "world"
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},
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"useColor": {
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"type": "boolean"
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}
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}
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}
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</code-example>
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You can see examples of schema files for the Angular CLI command schematics in [`@schematics/angular`](https://github.com/angular/angular-cli/blob/7.0.x/packages/schematics/angular/application/schema.json).
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You can see examples of schema files for the Angular CLI command schematics in [`@schematics/angular`](https://github.com/angular/angular-cli/blob/7.0.x/packages/schematics/angular/application/schema.json).
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### Schematic prompts
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Schematic *prompts* introduce user interaction into schematic execution.
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You can configure schematic options to display a customizable question to the user.
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The prompts are displayed before the execution of the schematic, which then uses the response as the value for the option.
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This allows users to direct the operation of the schematic without requiring in-depth knowledge of the full spectrum of available options.
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The "Hello World" schematic might, for example, ask the user for their name, and display that name in place of the default name "world". To define such a prompt, add an `x-prompt` property to the schema for the `name` variable.
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Similarly, you can add a prompt to allow the user to decide whether the schematic will use color when executing its hello action. The schema with both prompts would be as follows.
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<code-example language="json" header="src/hello-world/schema.json">
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{
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"properties": {
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"name": {
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"type": "string",
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"minLength": 1,
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"default": "world",
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"x-prompt": "What is your name?"
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},
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"useColor": {
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"type": "boolean",
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"x-prompt": "Would you like the response in color?"
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}
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}
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}
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</code-example>
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#### Prompt short-form syntax
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These examples use a shorthand form of the prompt syntax, supplying only the text of the question.
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In most cases, this is all that is required.
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Notice however, that the two prompts expect different types of input.
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When using the shorthand form, the most appropriate type is automatically selected based on the property's schema.
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In the example, the `name` prompt uses the `input` type because it it is a string property.
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The `useColor` prompt uses a `confirmation` type because it is a Boolean property.
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In this case, "yes" corresponds to `true` and "no" corresponds to `false`.
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There are three supported input types.
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| Input type | Description |
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| :----------- | :-------------------|
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| confirmation | A yes or no question; ideal for Boolean options. |
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| input | Textual input; ideal for string or number options. |
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| list | A predefined set of allowed values. |
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In the short form, the type is inferred from the property's type and constraints.
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| Property Schema | Prompt Type |
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| :--------------- | :------------- |
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| "type": "boolean" | confirmation ("yes"=`true`, "no"=`false`) |
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| "type": "string" | input |
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| "type": "number" | input (only valid numbers accepted) |
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| "type": "integer" | input (only valid numbers accepted) |
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| "enum": [...] | list (enum members become list selections) |
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In the following example, the property takes an enumerated value, so the schematic automatically chooses the list type, and creates a menu from the possible values.
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<code-example language="json" header="schema.json">
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"style": {
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"description": "The file extension or preprocessor to use for style files.",
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"type": "string",
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"default": "css",
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"enum": [
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"css",
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"scss",
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"sass",
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"less",
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"styl"
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],
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"x-prompt": "Which stylesheet format would you like to use?"
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}
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</code-example>
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The prompt runtime automatically validates the provided response against the constraints provided in the JSON schema.
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If the value is not acceptable, the user is prompted for a new value.
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This ensures that any values passed to the schematic meet the expectations of the schematic's implementation, so that you do not need to add additional checks within the schematic's code.
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#### Prompt long-form syntax
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The `x-prompt` field syntax supports a long form for cases where you require additional customization and control over the prompt.
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In this form, the `x-prompt` field value is a JSON object with subfields that customize the behavior of the prompt.
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| Field | Data Value |
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| :----------- | :------ |
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| type | `confirmation`, `input`, or `list` (selected automatically in short form) |
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| message | string (required) |
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| items | string and/or label/value object pair (only valid with type `list`) |
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The following example of the long form is from the JSON schema for the schematic that the CLI uses to [generate applications](https://github.com/angular/angular-cli/blob/ba8a6ea59983bb52a6f1e66d105c5a77517f062e/packages/schematics/angular/application/schema.json#L56).
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It defines the prompt that allows users to choose which style preprocessor they want to use for the application being created.
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By using the long form, the schematic can provide more explicit formatting of the menu choices.
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<code-example language="json" header="package/schematics/angular/application/schema.json">
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"style": {
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"description": "The file extension or preprocessor to use for style files.",
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"type": "string",
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"default": "css",
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"enum": [
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"css",
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"scss",
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"sass",
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"less",
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"styl"
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],
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"x-prompt": {
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"message": "Which stylesheet format would you like to use?",
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"type": "list",
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"items": [
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{ "value": "css", "label": "CSS" },
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{ "value": "scss", "label": "SCSS [ https://sass-lang.com/documentation/syntax#scss ]" },
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{ "value": "sass", "label": "Sass [ https://sass-lang.com/documentation/syntax#the-indented-syntax ]" },
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{ "value": "less", "label": "Less [ http://lesscss.org ]" },
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{ "value": "styl", "label": "Stylus [ http://stylus-lang.com ]" }
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]
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},
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},
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</code-example>
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#### x-prompt schema
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The JSON schema that defines a schematic's options supports extensions to allow the declarative definition of prompts and their respective behavior.
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No additional logic or changes are required to the code of a schematic to support the prompts.
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The following JSON schema is a complete description of the long-form syntax for the `x-prompt` field.
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<code-example language="json" header="x-prompt schema">
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{
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"oneOf": [
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{ "type": "string" },
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{
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"type": "object",
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"properties": {
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"type": { "type": "string" },
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"message": { "type": "string" },
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"items": {
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"type": "array",
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"items": {
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"oneOf": [
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{ "type": "string" },
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{
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"type": "object",
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"properties": {
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"label": { "type": "string" },
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"value": { }
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},
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"required": [ "value" ]
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}
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]
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}
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}
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},
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"required": [ "message" ]
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}
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]
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}
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</code-example>
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{@a cli}
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{@a cli}
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## Schematics CLI
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## Schematics CLI
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Loading…
Reference in New Issue