Yaml editor

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A web-based YAML editor with tabular interface. yaml yaml-editor yaml-configuration. Updated ; HTML; Improve this page

GitHub - guerillamos/yaml-editor: YAML editor written in

Concourse Pipeline and Task Editor for Visual Studio CodeThis extension provides validation, content assist and documentation hoversfor editing Concourse Pipeline and Task configuration files.UsageThe Concourse editor automatically activates when the name of the .yml file you are editingfollows a certain pattern:**/*pipeline*.yml | **/pipeline/*.yml | **/*pipeline*.yaml | **/pipeline/*.yaml: activates support for editing pipelines**/ci/**/tasks/*.yml | **/*task.yml | **/ci/**/tasks/*.yaml | **/*task.yaml : activates support for editing tasks.You can also define your own patterns and map them to the language-ids concourse-pipeline-yamlor concourse-task-yaml by defining files.associations in workspace settings.See vscode documentation for details.FunctionalityValidationAs you type the text is parsed and checked for basic syntactic and structural correctness. Hover overan error marker to see an explanation:Content assistHaving trouble remembering all the names of the attributes, and their spelling? Or can't rememberwhich resource properties to set in the get task params versus its source attributes? Ordon't remember what 'special' values are acceptable for a certain property? Content assistto the rescue:Documentation HoversHaving trouble remembering exactly what the meaning of each attribute is? Hover over an attribute andread its detailed documentation:Goto Symbol in FileIs your Pipeline yaml file getting larger and is it becoming harder to find a particular Job, Resource orResource Type declaration? The "Goto Symbol in File" command helps you quickly jump to a specificdefinition.Type CTRL-SHIFT-O to popup a list of all symbols in your current Pipeline file. Start typing a name(or portion thereof) to narrow down the list. Select a symbol to jump directly to its location in thefile.Goto/Peek DefinitionUse "Goto Defition" or "Peek Definition" to quickly go (or peek) from a a Job- or Resource nameto its corresponding definition.LimitationsThis Vscode Extension is still a work in progress. At the moment only a select few of the built-in resource-typeshave been fully defined in the Editor's Schema.The resource-types that are already defined in the schema are:gitdocker-images3poolsemvertimeFor other resource-types content assist and checking is still very limited. We intendto grow this list and provide a similar level of support for all of the built-in resource types inthe near future.Issues and Feature RequestsPlease report bugs, issues and feature requests on the Github STS4 issue tracker.Version: 1.56.0-PRE-RELEASE

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Extension Pack for Apache Camel This is the extension pack that brings common developer experience for Apache Camel in Visual Studio Code.Extension Pack📦 Language Support for Apache Camel📦 Debug Adapter for Apache Camel📦 Kaoto📦 Extension Pack for Java📦 Spring Boot Extension Pack📦 OpenShift Toolkit📦 Kubernetes📦 YAML📦 XML📦 Tools for MicroProfile📦 QuarkusLanguage Support for Apache Camel Features • Requirements • DocumentationThis is the extension that adds language support for Apache Camel for XML, Java and Yaml DSL code.Debug Adapter for Apache Camel Features • Requirements • DocumentationThis is the extension that adds Camel Debugger power by attaching to a running Camel route written in Java, Yaml or XML DSL.Kaoto Features • Requirements • Limitations • DocumentationThis extension brings an integration editor to create and deploy workflows in a visual, low-code way; with developer-friendly features like a code editor and deployments to the cloud. Kaoto augments user productivity via Apache Camel, it accelerates new users and helps experienced developers.Extension Pack for Java Extensions • Recommendations • DocumentationThis extension pack is a collection of popular extensions that can help write, test and debug Java applications in Visual Studio Code.Spring Boot Extension Pack Extensions • DocumentationCollection of extensions for developing and deploying Spring Boot Application.OpenShift Toolkit Overview • Features • Getting StartedThe OpenShift Toolkit extends Visual Studio Code to provide all of the power and convenience of IDEs for developing cloud-native Kubernetes applications, without leaving the comfort of your IDE. For a developer to run the local code on an OpenShift instance, test & debug it and deploy it on production without worrying about the complexities around different K8s tools.Kubernetes Overview • Features • Getting StartedThe extension for developers building applications to run in Kubernetes clusters and for DevOps staff troubleshooting Kubernetes applications.YAML FeaturesThis extension provides comprehensive YAML Language support, via the YAML language server, with built-in Kubernetes syntax support.XML Features • Requirements • DocumentationThis extension provides support for creating and editing XML documents, based on the LemMinX XML Language Server.Tools for MicroProfile Features • Requirements • DocumentationThis extension provides support for the development of MicroProfile®-based applications, via the LSP4MP project.Quarkus Features • Requirements • DocumentationIt provides Quarkus and MicroProfile development by extending Visual Studio Code extension for MicroProfile with Quarkus features.IssuesSomething is not working properly? In that case, feel free to open issues, add feature requests, report bugs, etc.Get InvolvedIf you'd like to help us get better, we appreciate it!Check out our Contribution

GitHub - yaml/yaml-editor: Edit YAML and see it processed by

Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Migrate your Classic pipeline to YAML Article01/06/2025 In this article -->Azure DevOps ServicesGet started with Azure Pipelines by converting your existing Classic pipeline to use YAML. With a YAML-based pipeline, you can implement your CI/CD strategy as code and see its history, compare versions, blame, annotate, and so on.When you convert your Classic pipeline, the end product is two pipelines. You'll have one new YAML pipeline and a Classic pipeline that can be retired. Your Classic pipeline's run history remains in the Classic pipeline.NoteYou can only export a YAML file from an existing Classic pipeline created with the classic build designer. If you don't see the option to export to JSON or YAML, then your pipeline doesn't support exporting. Classic release pipelines don't have the export to YAML option. You can export a classic release pipeline by exporting each individual task.PrerequisitesMake sure you have the following items before you begin.An Azure account with an active subscription. Create an account for free.An active Azure DevOps organization. Sign up for Azure Pipelines.A working pipeline that uses the Classic user interface (UI) editor.A sample YAML pipeline file in your code. Create a sample YAML pipeline in the following section.Create a sample YAML pipelineDo the following steps to create a sample YAML pipeline, which you'll update later with your exported code from the Classic UI editor.Sign in to. A web-based YAML editor with tabular interface. yaml yaml-editor yaml-configuration. Updated ; HTML; Improve this page YAML Beautifier online helps to format the yaml code and help to share with others. Download. Output. Ln: 1 Col: 0 YAML Beautifier Online. YAML Formatter helps to format unformatted or ugly YAML data and helps to save and share YAML. YAML Editor; ONLINE Editor; JAVA Editor; C Editor; Actionscript Editor; Markdown Editor; Parsers. URL

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Select Help me create. You can then type or ask Gemini to create an automation. There's one catch here. While you can use Gemini to create Routines, the Google Home Gemini extension cannot execute Routines. Instead, it will fall back on Google Assistant to execute Routines. 2 Use Gemini's help for YAML scripting To create more advanced home automation routines If you are willing to get your hands dirty, you can create scripts to build advanced smart home automation routines using Gemini. This approach opens up additional starters, conditions, actions, and advanced logic for more powerful automations. For example, you could set up an automation that checks the weather API for rain at a specific time of day and automatically turns on the dehumidifier while adjusting the thermostat as needed. The problem is that using the script editor requires coding knowledge, as it relies on YAML. This is where Gemini comes in. As long as you have a basic idea of coding, you can use Gemini to create advanced automation in Google Home's script editor. This is still challenging, but Gemini makes it easier if you are willing to learn. Besides scripting, Gemini can help you find and fix YAML errors, saving you hours of troubleshooting and unwanted frustration. The Google Home script editor is available on the web and mobile apps through the Public Preview program. On the iPhone and iPad, you can only manage existing scripted automations. To create new ones, you must use the code editor on the web or Android. Related How to use Google Gemini to create home automations Turn your home automation ideas into reality with a few words 1 Smarter search through camera history Get more description captions and descriptions Source: Google Gemini makes it a breeze to go through your Nest camera history. Thanks to its multimodal capabilities, it can process and understand videos, bringing contextual search to camera history. In the Google Home camera activity section, you can check if an Amazon delivery truck passed by your home or if the kids left their bikes in the driveway, all in natural

GitHub - guerillamos/yaml-editor: YAML editor written in python

With services, for example for tests or automation scripts. Auto-completion for Spring Boot configuration keys in VM options Ultimate While setting up a new Spring Boot run configuration, the VM options field provides auto-completion options for keys appearing after the -D flag. Spring configuration beans no longer require the annotation processor Ultimate We have streamlined the user experience when working with custom configuration beans in Spring within IntelliJ IDEA. The IDE now provides code completion and validation in properties and YAML configuration files, without you needing to set up the Spring Boot Configuration Annotation Processor. Support for Spring AOP in Kotlin Ultimate We’ve extended IntelliJ IDEA’s support for utilizing AspectJ in Spring applications. The IDE now provides analysis and completion for Kotlin code, just as it already did for Java code. New inspection for detecting mismatching value types in YAML files Ultimate In IntelliJ IDEA 2023.2, we’ve introduced a new inspection to eliminate the so-called “Norway problem” and prevent the unintended misinterpretation of Boolean values in YAML files. When a list primarily consists of strings but contains a Boolean-like literal, IntelliJ IDEA will highlight this literal, indicating a potential inconsistency, and suggest adding quotes to it. If the list is mostly composed of Boolean-like literals (such as true, false, off, on, yes, or no), any literal that deviates from this pattern is highlighted as a possible error, although no specific quick-fixes are suggested in this scenario. Support for editing AsyncAPI files Ultimate Working with the AsyncAPI specification format in IntelliJ IDEA is now much easier. The IDE supports schema validation functionality and provides code completion for references, the Endpoints view, and the Editor Preview pane. Docker Preview of files inside Docker image layers It is now easy to access and preview the contents of a Docker image layer in the Services tool window. Select the image from the list, select Show layers, and click Analyze image for more information. This opens a list of the files stored in the layer, from which you can easily open the selected file in the editor by right-clicking on the file and clicking Open

de-jcup/eclipse-yaml-editor: Eclipse YAML editor

YAML multi-doc stream splitterThe "zero dependency" package @avreg/yaml-doc-splitter exports YamlDocSplitter class as Node.js Transform stream to build parser|decoder|convert pipeline.The YamlDocSplitter reads an multi-document YAML input stream, sequentially splits it into many individual YAML documents as data arrives, and pushes it on to the next streams in the pipeline.Example of multi-document YAML:# Implicit end with version%YAML 1.2---doc: 1# Explicit end without version---doc: 2...# Explicit end with another version%YAML 1.1---doc: 3...Yes, js-yaml (and many another) package have loadAll() method, but YamlDocSplitter can useful in the following cases:if input static file have big size,realtime input stream.RestrictionsNode.js >= 12.Only UTF-8 encoding supports now.Installationnpm install @avreg/yaml-doc-splitter# oryarn add @avreg/yaml-doc-splitterUsage exampleCommonJS (simplest example)/*** * Usage: * $ node path/to/yaml-splitter.cjs multi-doc.yaml * # or * $ cat multi-doc.yaml | node path/to/yaml-splitter.cjs */const fs = require('fs');const stream = require('stream');const { YamlDocSplitter } = require('@avreg/yaml-doc-splitter');class DocDumper extends stream.Writable { constructor() { super(); this._docNbr = 0; } _write(yamlDocBuffer, _encoding, callback) { const yamlDocString = yamlDocBuffer.toString(); this._docNbr += 1; console.log(); console.log(`@@@@@@@ Yaml doc #${this._docNbr} @@@@@@@`); console.log(yamlDocString); callback(); } _final(callback) { console.log(`Total Yaml docs count: ${this._docNbr}`); callback(); }}const inputStream = process.argv[2] ? fs.createReadStream(process.argv[2]) : process.stdio;const splitter = new YamlDocSplitter();const dumper = new DocDumper();inputStream.pipe(splitter).pipe(dumper);ES6 modules (more complete) { try { await pipeline( inputStream, splitter, convertor, stringifier, process.stdout ); } catch (err) { console.error('Pipeline job failed:', err.message || `${err}`); }})();">/*** * Usage: * $ node path/to/yaml2json-dumper.mjs multi-doc.yaml * # or * $ cat multi-doc.yaml | node path/to/yaml2json-dumper.mjs */import fs from 'node:fs';import util from 'node:util';import stream from 'node:stream';import os from 'node:os';import process from 'node:process';import ydsPkg from '@avreg/yaml-doc-splitter.js';import yaml from 'js-yaml';const { YamlDocSplitter } = ydsPkg;const pipeline = util.promisify(stream.pipeline);class YamlToJson extends stream.Transform { constructor() { super({ readableObjectMode: true }); } _transform(stringChunk, _encoding, callback) { try { const jsonObj = yaml.load(stringChunk); if (jsonObj !== null && jsonObj !== undefined) { callback(null, jsonObj); } else { // empty object callback(); } } catch (err) { callback(err); } }}class JsonStringifier extends stream.Transform { constructor() { super({ writableObjectMode: true }); } _transform(jsonObj, _encoding, callback) { try { callback(null, JSON.stringify(jsonObj, null, 3) + os.EOL); } catch (err) { callback(err); } }}const inputStream = process.argv[2] ? fs.createReadStream(process.argv[2]) : process.stdio;const splitter = new YamlDocSplitter();const convertor = new YamlToJson();const stringifier = new JsonStringifier();(async () => { try { await pipeline( inputStream, splitter, convertor, stringifier, process.stdout ); } catch (err) { console.error('Pipeline job failed:', err.message || `${err}`); }})();TODOsupport all encodings;make "dist" package.json.BUGSReport bugs to [email protected]

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Services. This step is OS dependent. For example:$ service --status-all```Editing the DockerfileThis section describes how to create a custom blocklist by editing the Dockerfile created by the migration.Migrate the source VM to a container. Open the Dockerfile in an editor. Add the following COPY command to add the blocklist .yaml file to the filesystem of the container: COPY src dest For example: COPY my-blocklist.yaml /etc/mybl/my-blocklist.yamlThe destination path can be any path within the container. Add a new environment variable named HC_CUSTOM_SERVICE_BLOCKLIST specifying the path to the blocklist .yaml file based on the file destination specified by the COPY command. The name of the environment variable is required to be HC_CUSTOM_SERVICE_BLOCKLIST: ENV HC_CUSTOM_SERVICE_BLOCKLIST /file-path For example: ENV HC_CUSTOM_SERVICE_BLOCKLIST /etc/mybl/my-blocklist.yamlUpdate the container image. The way you update the container image depends on your build environment. You can use: gcloud to build the image and upload it to the Container Registry as described at Quickstart: Build.docker build as described at Build and run your image .After you build the new image, open the deployment_spec.yaml file in an editor to update the image location: spec: containers: - image: new-image-locationFor example, new-image-location could be gcr.io/my-project/my-new-image:v1.0if you used gcloud to build the image and uploaded it to the Container Registry.Deploy the container: kubectl apply -f deployment_spec.yamlAfter the container is deployed, you can then examine the container to ensure that the services are not running. For example: # Get pod name.$ kubectl get pod# Connect to pod.$ kubectl exec -it POD_NAME -- /bin/bash# View running services. This. A web-based YAML editor with tabular interface. yaml yaml-editor yaml-configuration. Updated ; HTML; Improve this page YAML Beautifier online helps to format the yaml code and help to share with others. Download. Output. Ln: 1 Col: 0 YAML Beautifier Online. YAML Formatter helps to format unformatted or ugly YAML data and helps to save and share YAML. YAML Editor; ONLINE Editor; JAVA Editor; C Editor; Actionscript Editor; Markdown Editor; Parsers. URL

GitHub - 8ByteSword/portainer-yaml-editor: Portainer YAML Editor

Route/test-route haproxy.router.openshift.io/ip_whitelist- 2.5.3.2. apply Apply a configuration to a resource by file name or standard in (stdin) in JSON or YAML format. Example: Apply the configuration in pod.json to a pod$ oc apply -f pod.json 2.5.3.3. autoscale Autoscale a deployment or replication controller. Example: Autoscale to a minimum of two and maximum of five pods$ oc autoscale deploymentconfig/parksmap-katacoda --min=2 --max=5 2.5.3.4. create Create a resource by file name or standard in (stdin) in JSON or YAML format. Example: Create a pod using the content in pod.json$ oc create -f pod.json 2.5.3.5. delete Delete a resource. Example: Delete a pod named parksmap-katacoda-1-qfqz4$ oc delete pod/parksmap-katacoda-1-qfqz4 Example: Delete all pods with the app=parksmap-katacoda label$ oc delete pods -l app=parksmap-katacoda 2.5.3.6. describe Return detailed information about a specific object. Example: Describe a deployment named example$ oc describe deployment/example Example: Describe all pods$ oc describe pods 2.5.3.7. edit Edit a resource. Example: Edit a deployment using the default editor$ oc edit deploymentconfig/parksmap-katacoda Example: Edit a deployment using a different editor$ OC_EDITOR="nano" oc edit deploymentconfig/parksmap-katacoda Example: Edit a deployment in JSON format$ oc edit deploymentconfig/parksmap-katacoda -o json 2.5.3.8. expose Expose a service externally as a route. Example: Expose a service$ oc expose service/parksmap-katacoda Example: Expose a service and specify the host name$ oc expose service/parksmap-katacoda --hostname=www.my-host.com 2.5.3.9. get Display one or more resources. Example: List pods in the default namespace$ oc get pods -n default Example: Get details about the python deployment in JSON format$ oc get deploymentconfig/python -o json 2.5.3.10. label Update the labels

GitHub - wizant/YAML-tree-editor: a YAML editor that supports a

Ruby -ryaml -rjson -e 'puts YAML.dump(JSON.parse(STDIN.read))' file.yaml Sample Output Note: you need Ruby 1.9 or better 8 Alternatives + Submit Alt Convert JSON to YAML.Note that you'll need to have PyYaml installed. python -c 'import sys, yaml, json; yaml.safe_dump(json.load(sys.stdin), sys.stdout, default_flow_style=False)' file.yaml Functions: python Tags: python json yaml --> You need to install the Catmandu Perl module via `cpanm Catmandu` catmandu convert JSON to YAML file.yaml Tags: json yaml catmandu --> This is based on __unixmonkey73469__ answer. You will need to supply `--multiline 1` option to JSON importer if your .json is multiline (i.e. it was prettyfied)And you still need catmandu installed via `cpanm Catmandu` catmandu convert JSON --multiline 1 to YAML file.yaml Tags: perl json yaml --> json2yaml is an npm package must have node and npm installed to install/use this Show Sample Output Tags: json yaml --> Requires installing json2yaml via npm:npm install -g json2yaml(can also pipe from stdin)Ref: json2yaml ./example.json > ./example.yml Tags: json yaml -->. A web-based YAML editor with tabular interface. yaml yaml-editor yaml-configuration. Updated ; HTML; Improve this page

fraserxu/react-yaml-editor: A yaml editor with reactjs - GitHub

Use PAC CLI version. Below is an example from my developer instance: Figure 2: Task version selection in Azure DevOps between Power Platform CLI version versus the PowerShell versionOnce you select a version of the Power Platform Build Tools tasks you cannot mix and match, as the pipeline will not run, as in you cannot have the installer be a different version and the solution import use the PowerShell version.If you do not want to use the Azure DevOps task editor to change the version, you can use the YAML editor in Azure DevOps and change the version number from 0 to 2 Figure 3: Find and replace the version of the task to be usedTo learn how to edit the yaml files in Azure DevOps, please follow the instructions here.When using Power Platform Build Tools version 2, you will notice that it is also cross platform and can run on both windows and Linux runners in Azure DevOps.Package Deploy task will not work Linux agents and will require windows runnersNew capabilities in the July Refresh for the Power Platform CLIWe are happy to announce an abundance of new features with the July refresh of the Power platform CLI. From cross-platform support perspective, the Power Platform CLI now runs on .NET 6 and uses the generally available version of the Dataverse Service Client (1.0.9). That is just what is under the hood of the command line, but there is more …Changes in the Admin sub command of Power Platform CLIWe have introduced a new sub command for pac admin, and it is:Assign-userThe assign user capability is one of the most requested features, in the past when an environment was created via a pipeline or via the command line from a service principal account then the newly created environment would be owned by the service principal account. Now you can assign a user to the target environment, so that when solutions that have flows that a particular user owns need to be active, well now that is possible, they will be. The sequence of events would be as follows:Figure 4: Sequence