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crazylion lee

AWS IoT Button - 0 views

aws.amazon.com/button

aws button iot ifttt

shared by crazylion lee on 24 May 16 - No Cached
  • crazylion lee on 24 May 16
     
    "限量發行的可程式化 Dash Button AWS IoT Button 是一個以 Amazon Dash Button 硬體為基礎的可程式化按鈕。這個簡單的 Wi-Fi 裝置非常容易設定，而且它的設計目的是讓開發人員開始使用 AWS IoT、AWS Lambda、Amazon DynamoDB、Amazon SNS 以及許多其他 Amazon Web Services，不需要撰寫裝置特定的程式碼。"
張 旭

A Tour of Rails' jQuery UJS - 0 views

robots.thoughtbot.com/a-tour-of-rails-jquery-ujs

rails jquery javascript frontend helper

shared by 張 旭 on 03 Oct 16 - No Cached
  • “I should really figure out what that does someday.”
  • today is that day
  • jquery-ujs wires event handlers to eligible DOM elements to provide enhanced functionality.
  • ...11 more annotations...
  • In most cases, the eligible DOM elements are identified by HTML5 data attributes.
  • using JavaScript to progressively enhance the user experience for capable browsers without negatively impacting clients that do not support or do not enable JavaScript.
    • 張 旭
      張 旭 on 03 Oct 16
       
      讓 user 有更好體驗，但是也不影響到那些沒有 JS 支援的 user
  • jquery-ujs attaches a handler to links with the data-method attribute
  • When the link is clicked, the handler constructs an HTML form along with a hidden input that sets the _method parameter to the requested HTTP verb
  • jquery-ujs attaches a handler to links or forms with the data-confirm attribute that displays a JavaScript confirmation dialog
  • Users double click links and buttons all the time.
  • Links and buttons that have a data-disable-with attribute get a click handler that disables the element and updates the text of the button to that which was provided in the data attribute and disables the button.
    • 張 旭
      張 旭 on 03 Oct 16
       
      優雅地處理了使用者重複點擊傳送按鈕的問題。
  • If the action is performed via AJAX, the handler will re-enable the button and reset the text when the request completes.
  • Thanks to jquery-ujs and Rails’ respond_with, setting remote: true is likely the quickest way to get your Rails application making AJAX requests.
  • support both AJAX and standard requests at the same time.
  • Cross-Site Request Forgery (CSRF) is an attack wherein the attacker tricks the user into submitting a request to an application the user is likely already authenticated to.
crazylion lee

anypixel.js - 0 views

googlecreativelab.github.io/anypixel

javascript hardware framework

shared by crazylion lee on 06 Jun 16 - No Cached
  • What We Made The first display using this platform is in the 8th Avenue lobby at the Google NYC office. To create this installation, we used 5880 off-the-shelf arcade buttons as our pixels.
  • crazylion lee on 06 Jun 16
     
    "The first display using this platform is in the 8th Avenue lobby at the Google NYC office. To create this installation, we used 5880 off-the-shelf arcade buttons as our pixels."
crazylion lee

Social Media Sharing Buttons. No JavaScript. No tracking. Super fast and easy. - 0 views

sharingbuttons.io

sharing social

shared by crazylion lee on 03 Aug 16 - No Cached
  • crazylion lee on 03 Aug 16
     
    "Super fast and easy Social Media Sharing Buttons. No JavaScript. No tracking."
crazylion lee

Unique gradient generator - 0 views

gradient.quasi.ink

gradient background css generator

shared by crazylion lee on 03 Apr 16 - No Cached
  • crazylion lee on 03 Apr 16
     
    "This tool helps you to generate beautiful blurry background images that you can use in any project. It doesn't use CSS3 gradients, but a rather unique approach. It takes a stock image, extracts a very small area (sample area) and scales it up to 100%. The browser's image smoothing algorithm takes care of the rest. You can then use the image as an inline, base64 encoded image in any HTML element's background, just click Generate CSS button at the bottom of the app. Select source images from the gallery or use yours, the possibilities are endless."
張 旭

Using Workflows to Schedule Jobs - CircleCI - 1 views

circleci.com/workflows

circleci CI deploy system

shared by 張 旭 on 25 Nov 18 - No Cached
  • A workflow is a set of rules for defining a collection of jobs and their run order.
  • Schedule workflows for jobs that should only run periodically.
  • run multiple jobs in parallel
  • ...37 more annotations...
  • rerun just the failed job
  • Builds without workflows require a build job.
  • Refer the YAML Anchors/Aliases documentation for information about how to alias and reuse syntax to keep your .circleci/config.yml file small.
  • workflow orchestration with two parallel jobs
  • jobs run according to configured requirements, each job waiting to start until the required job finishes successfully
  • requires: key
  • fans-out to run a set of acceptance test jobs in parallel, and finally fans-in to run a common deploy job.
  • Holding a Workflow for a Manual Approval
  • Workflows can be configured to wait for manual approval of a job before continuing to the next job
  • add a job to the jobs list with the key type: approval
  • approval is a special job type that is only available to jobs under the workflow key
  • The name of the job to hold is arbitrary - it could be wait or pause, for example, as long as the job has a type: approval key in it.
  • schedule a workflow to run at a certain time for specific branches.
  • The triggers key is only added under your workflows key
  • using cron syntax to represent Coordinated Universal Time (UTC) for specified branches.
  • By default, a workflow is triggered on every git push
  • the commit workflow has no triggers key and will run on every git push
  • The nightly workflow has a triggers key and will run on the specified schedule
  • Cron step syntax (for example, */1, */20) is not supported.
  • use a context to share environment variables
  • use the same shared environment variables when initiated by a user who is part of the organization.
  • CircleCI does not run workflows for tags unless you explicitly specify tag filters.
  • CircleCI branch and tag filters support the Java variant of regex pattern matching.
  • Each workflow has an associated workspace which can be used to transfer files to downstream jobs as the workflow progresses.
  • The workspace is an additive-only store of data.
  • Jobs can persist data to the workspace
  • Downstream jobs can attach the workspace to their container filesystem.
  • Attaching the workspace downloads and unpacks each layer based on the ordering of the upstream jobs in the workflow graph.
  • Workflows that include jobs running on multiple branches may require data to be shared using workspaces
  • To persist data from a job and make it available to other jobs, configure the job to use the persist_to_workspace key.
  • Files and directories named in the paths: property of persist_to_workspace will be uploaded to the workflow’s temporary workspace relative to the directory specified with the root key.
  • Configure a job to get saved data by configuring the attach_workspace key.
  • persist_to_workspace
  • attach_workspace
  • To rerun only a workflow’s failed jobs, click the Workflows icon in the app and select a workflow to see the status of each job, then click the Rerun button and select Rerun from failed.
  • if you do not see your workflows triggering, a configuration error is preventing the workflow from starting.
  • check your Workflows page of the CircleCI app (not the Job page)
  • 張 旭 on 25 Nov 18
     
    "A workflow is a set of rules for defining a collection of jobs and their run order."
張 旭

Glossary - CircleCI - 0 views

circleci.com/glossary

circleci CI system deploy

shared by 張 旭 on 25 Nov 18 - No Cached
  • User authentication may use LDAP for an instance of the CircleCI application that is installed on your private server or cloud
  • The first user to log into a private installation of CircleCI
  • Contexts provide a mechanism for securing and sharing environment variables across projects.
  • ...22 more annotations...
  • The environment variables are defined as name/value pairs and are injected at runtime.
  • The CircleCI Docker Layer Caching feature allows builds to reuse Docker image layers
  • from previous builds.
  • Image layers are stored in separate volumes in the cloud and are not shared between projects.
  • Layers may only be used by builds from the same project.
  • Environment variables store customer data that is used by a project.
  • Defines the underlying technology to run a job.
  • machine to run your job inside a full virtual machine.
  • docker to run your job inside a Docker container with a specified image
  • A job is a collection of steps.
  • The first image listed in config.yml
  • A CircleCI project shares the name of the code repository for which it automates workflows, tests, and deployment.
  • must be added with the Add Project button
  • Following a project enables a user to subscribe to email notifications for the project build status and adds the project to their CircleCI dashboard.
  • A step is a collection of executable commands
  • Users must be added to a GitHub or Bitbucket org to view or follow associated CircleCI projects.
  • Users may not view project data that is stored in environment variables.  
  • A Workflow is a set of rules for defining a collection of jobs and their run order.
  • Workflows are implemented as a directed acyclic graph (DAG) of jobs for greatest flexibility.
  • referred to as Pipelines
  • A workspace is a workflows-aware storage mechanism.
  • A workspace stores data unique to the job, which may be needed in downstream jobs.
張 旭

Auto DevOps | GitLab - 0 views

docs.gitlab.com/...index.html

gitlab auto devops CI deploy

shared by 張 旭 on 02 Aug 19 - No Cached
  • Auto DevOps provides pre-defined CI/CD configuration which allows you to automatically detect, build, test, deploy, and monitor your applications
  • Just push your code and GitLab takes care of everything else.
  • Auto DevOps will be automatically disabled on the first pipeline failure.
  • ...78 more annotations...
  • Your project will continue to use an alternative CI/CD configuration file if one is found
  • Auto DevOps works with any Kubernetes cluster;
  • using the Docker or Kubernetes executor, with privileged mode enabled.
  • Base domain (needed for Auto Review Apps and Auto Deploy)
  • Kubernetes (needed for Auto Review Apps, Auto Deploy, and Auto Monitoring)
  • Prometheus (needed for Auto Monitoring)
  • scrape your Kubernetes cluster.
  • project level as a variable: KUBE_INGRESS_BASE_DOMAIN
  • A wildcard DNS A record matching the base domain(s) is required
  • Once set up, all requests will hit the load balancer, which in turn will route them to the Kubernetes pods that run your application(s).
  • review/ (every environment starting with review/)
  • staging
  • production
  • need to define a separate KUBE_INGRESS_BASE_DOMAIN variable for all the above based on the environment.
  • Continuous deployment to production: Enables Auto Deploy with master branch directly deployed to production.
  • Continuous deployment to production using timed incremental rollout
  • Automatic deployment to staging, manual deployment to production
  • Auto Build creates a build of the application using an existing Dockerfile or Heroku buildpacks.
  • If a project’s repository contains a Dockerfile, Auto Build will use docker build to create a Docker image.
  • Each buildpack requires certain files to be in your project’s repository for Auto Build to successfully build your application.
  • Auto Test automatically runs the appropriate tests for your application using Herokuish and Heroku buildpacks by analyzing your project to detect the language and framework.
  • Auto Code Quality uses the Code Quality image to run static analysis and other code checks on the current code.
  • Static Application Security Testing (SAST) uses the SAST Docker image to run static analysis on the current code and checks for potential security issues.
  • Dependency Scanning uses the Dependency Scanning Docker image to run analysis on the project dependencies and checks for potential security issues.
  • License Management uses the License Management Docker image to search the project dependencies for their license.
  • Vulnerability Static Analysis for containers uses Clair to run static analysis on a Docker image and checks for potential security issues.
  • Review Apps are temporary application environments based on the branch’s code so developers, designers, QA, product managers, and other reviewers can actually see and interact with code changes as part of the review process. Auto Review Apps create a Review App for each branch. Auto Review Apps will deploy your app to your Kubernetes cluster only. When no cluster is available, no deployment will occur.
  • The Review App will have a unique URL based on the project ID, the branch or tag name, and a unique number, combined with the Auto DevOps base domain.
  • Review apps are deployed using the auto-deploy-app chart with Helm, which can be customized.
  • Your apps should not be manipulated outside of Helm (using Kubernetes directly).
  • Dynamic Application Security Testing (DAST) uses the popular open source tool OWASP ZAProxy to perform an analysis on the current code and checks for potential security issues.
  • Auto Browser Performance Testing utilizes the Sitespeed.io container to measure the performance of a web page.
  • add the paths to a file named .gitlab-urls.txt in the root directory, one per line.
  • After a branch or merge request is merged into the project’s default branch (usually master), Auto Deploy deploys the application to a production environment in the Kubernetes cluster, with a namespace based on the project name and unique project ID
  • Auto Deploy doesn’t include deployments to staging or canary by default, but the Auto DevOps template contains job definitions for these tasks if you want to enable them.
  • Apps are deployed using the auto-deploy-app chart with Helm.
  • For internal and private projects a GitLab Deploy Token will be automatically created, when Auto DevOps is enabled and the Auto DevOps settings are saved.
  • If the GitLab Deploy Token cannot be found, CI_REGISTRY_PASSWORD is used. Note that CI_REGISTRY_PASSWORD is only valid during deployment.
  • If present, DB_INITIALIZE will be run as a shell command within an application pod as a helm post-install hook.
  • a post-install hook means that if any deploy succeeds, DB_INITIALIZE will not be processed thereafter.
  • DB_MIGRATE will be run as a shell command within an application pod as a helm pre-upgrade hook.
    • 張 旭
      張 旭 on 02 Aug 19
       
      如果專案類型不同，就要去查 buildpacks 裡面如何叫用該指令，例如 laravel 的 migration
    • 張 旭
      張 旭 on 02 Aug 19
       
      如果是自己的 Dockerfile 建立起來的，看來就不用鳥 buildpacks 的作法
  • Once your application is deployed, Auto Monitoring makes it possible to monitor your application’s server and response metrics right out of the box.
  • annotate the NGINX Ingress deployment to be scraped by Prometheus using prometheus.io/scrape: "true" and prometheus.io/port: "10254"
  • If you are also using Auto Review Apps and Auto Deploy and choose to provide your own Dockerfile, make sure you expose your application to port 5000 as this is the port assumed by the default Helm chart.
  • While Auto DevOps provides great defaults to get you started, you can customize almost everything to fit your needs; from custom buildpacks, to Dockerfiles, Helm charts, or even copying the complete CI/CD configuration into your project to enable staging and canary deployments, and more.
  • If your project has a Dockerfile in the root of the project repo, Auto DevOps will build a Docker image based on the Dockerfile rather than using buildpacks.
  • Auto DevOps uses Helm to deploy your application to Kubernetes.
  • Bundled chart - If your project has a ./chart directory with a Chart.yaml file in it, Auto DevOps will detect the chart and use it instead of the default one.
  • Create a project variable AUTO_DEVOPS_CHART with the URL of a custom chart to use or create two project variables AUTO_DEVOPS_CHART_REPOSITORY with the URL of a custom chart repository and AUTO_DEVOPS_CHART with the path to the chart.
  • make use of the HELM_UPGRADE_EXTRA_ARGS environment variable to override the default values in the values.yaml file in the default Helm chart.
  • specify the use of a custom Helm chart per environment by scoping the environment variable to the desired environment.
    • 張 旭
      張 旭 on 02 Aug 19
       
      Auto DevOps 就是一套人家寫好好的傳便便的 .gitlab-ci.yml
  • Your additions will be merged with the Auto DevOps template using the behaviour described for include
  • copy and paste the contents of the Auto DevOps template into your project and edit this as needed.
  • In order to support applications that require a database, PostgreSQL is provisioned by default.
  • Set up the replica variables using a project variable and scale your application by just redeploying it!
  • You should not scale your application using Kubernetes directly.
  • Some applications need to define secret variables that are accessible by the deployed application.
  • Auto DevOps detects variables where the key starts with K8S_SECRET_ and make these prefixed variables available to the deployed application, as environment variables.
  • Auto DevOps pipelines will take your application secret variables to populate a Kubernetes secret.
  • Environment variables are generally considered immutable in a Kubernetes pod.
  • if you update an application secret without changing any code then manually create a new pipeline, you will find that any running application pods will not have the updated secrets.
  • Variables with multiline values are not currently supported
  • The normal behavior of Auto DevOps is to use Continuous Deployment, pushing automatically to the production environment every time a new pipeline is run on the default branch.
  • If STAGING_ENABLED is defined in your project (e.g., set STAGING_ENABLED to 1 as a CI/CD variable), then the application will be automatically deployed to a staging environment, and a production_manual job will be created for you when you’re ready to manually deploy to production.
  • If CANARY_ENABLED is defined in your project (e.g., set CANARY_ENABLED to 1 as a CI/CD variable) then two manual jobs will be created: canary which will deploy the application to the canary environment production_manual which is to be used by you when you’re ready to manually deploy to production.
  • If INCREMENTAL_ROLLOUT_MODE is set to manual in your project, then instead of the standard production job, 4 different manual jobs will be created: rollout 10% rollout 25% rollout 50% rollout 100%
  • The percentage is based on the REPLICAS variable and defines the number of pods you want to have for your deployment.
  • To start a job, click on the play icon next to the job’s name.
  • Once you get to 100%, you cannot scale down, and you’d have to roll back by redeploying the old version using the rollback button in the environment page.
  • With INCREMENTAL_ROLLOUT_MODE set to manual and with STAGING_ENABLED
  • not all buildpacks support Auto Test yet
  • When a project has been marked as private, GitLab’s Container Registry requires authentication when downloading containers.
  • Authentication credentials will be valid while the pipeline is running, allowing for a successful initial deployment.
  • After the pipeline completes, Kubernetes will no longer be able to access the Container Registry.
  • We strongly advise using GitLab Container Registry with Auto DevOps in order to simplify configuration and prevent any unforeseen issues.
張 旭

Introduction to GitLab Flow | GitLab - 0 views

docs.gitlab.com/...gitlab_flow.html

programming git gitlab flow

shared by 張 旭 on 14 Mar 20 - No Cached
  • GitLab flow as a clearly defined set of best practices. It combines feature-driven development and feature branches with issue tracking.
  • In Git, you add files from the working copy to the staging area. After that, you commit them to your local repo. The third step is pushing to a shared remote repository.
  • branching model
  • ...68 more annotations...
  • The biggest problem is that many long-running branches emerge that all contain part of the changes.
  • It is a convention to call your default branch master and to mostly branch from and merge to this.
  • Nowadays, most organizations practice continuous delivery, which means that your default branch can be deployed.
  • Continuous delivery removes the need for hotfix and release branches, including all the ceremony they introduce.
  • Merging everything into the master branch and frequently deploying means you minimize the amount of unreleased code, which is in line with lean and continuous delivery best practices.
  • GitHub flow assumes you can deploy to production every time you merge a feature branch.
  • You can deploy a new version by merging master into the production branch. If you need to know what code is in production, you can just checkout the production branch to see.
  • Production branch
  • Environment branches
  • have an environment that is automatically updated to the master branch.
  • deploy the master branch to staging.
  • To deploy to pre-production, create a merge request from the master branch to the pre-production branch.
  • Go live by merging the pre-production branch into the production branch.
  • Release branches
  • work with release branches if you need to release software to the outside world.
  • each branch contains a minor version
  • After announcing a release branch, only add serious bug fixes to the branch.
  • merge these bug fixes into master, and then cherry-pick them into the release branch.
  • Merging into master and then cherry-picking into release is called an “upstream first” policy
  • Tools such as GitHub and Bitbucket choose the name “pull request” since the first manual action is to pull the feature branch.
  • Tools such as GitLab and others choose the name “merge request” since the final action is to merge the feature branch.
  • If you work on a feature branch for more than a few hours, it is good to share the intermediate result with the rest of the team.
  • the merge request automatically updates when new commits are pushed to the branch.
  • If the assigned person does not feel comfortable, they can request more changes or close the merge request without merging.
  • In GitLab, it is common to protect the long-lived branches, e.g., the master branch, so that most developers can’t modify them.
  • if you want to merge into a protected branch, assign your merge request to someone with maintainer permissions.
  • After you merge a feature branch, you should remove it from the source control software.
  • Having a reason for every code change helps to inform the rest of the team and to keep the scope of a feature branch small.
  • If there is no issue yet, create the issue
  • The issue title should describe the desired state of the system.
  • For example, the issue title “As an administrator, I want to remove users without receiving an error” is better than “Admin can’t remove users.”
  • create a branch for the issue from the master branch
  • If you open the merge request but do not assign it to anyone, it is a “Work In Progress” merge request.
  • Start the title of the merge request with [WIP] or WIP: to prevent it from being merged before it’s ready.
  • When they press the merge button, GitLab merges the code and creates a merge commit that makes this event easily visible later on.
  • Merge requests always create a merge commit, even when the branch could be merged without one. This merge strategy is called “no fast-forward” in Git.
  • Suppose that a branch is merged but a problem occurs and the issue is reopened. In this case, it is no problem to reuse the same branch name since the first branch was deleted when it was merged.
  • At any time, there is at most one branch for every issue.
  • It is possible that one feature branch solves more than one issue.
  • GitLab closes these issues when the code is merged into the default branch.
  • If you have an issue that spans across multiple repositories, create an issue for each repository and link all issues to a parent issue.
  • use an interactive rebase (rebase -i) to squash multiple commits into one or reorder them.
  • you should never rebase commits you have pushed to a remote server.
  • Rebasing creates new commits for all your changes, which can cause confusion because the same change would have multiple identifiers.
  • if someone has already reviewed your code, rebasing makes it hard to tell what changed since the last review.
  • never rebase commits authored by other people.
  • it is a bad idea to rebase commits that you have already pushed.
  • If you revert a merge commit and then change your mind, revert the revert commit to redo the merge.
  • Often, people avoid merge commits by just using rebase to reorder their commits after the commits on the master branch.
  • Using rebase prevents a merge commit when merging master into your feature branch, and it creates a neat linear history.
  • every time you rebase, you have to resolve similar conflicts.
  • Sometimes you can reuse recorded resolutions (rerere), but merging is better since you only have to resolve conflicts once.
  • A good way to prevent creating many merge commits is to not frequently merge master into the feature branch.
  • keep your feature branches short-lived.
  • Most feature branches should take less than one day of work.
  • If your feature branches often take more than a day of work, try to split your features into smaller units of work.
  • You could also use feature toggles to hide incomplete features so you can still merge back into master every day.
  • you should try to prevent merge commits, but not eliminate them.
  • Your codebase should be clean, but your history should represent what actually happened.
  • If you rebase code, the history is incorrect, and there is no way for tools to remedy this because they can’t deal with changing commit identifiers
  • Commit often and push frequently
  • You should push your feature branch frequently, even when it is not yet ready for review.
  • A commit message should reflect your intention, not just the contents of the commit.
  • each merge request must be tested before it is accepted.
  • test the master branch after each change.
  • If new commits in master cause merge conflicts with the feature branch, merge master back into the branch to make the CI server re-run the tests.
  • When creating a feature branch, always branch from an up-to-date master.
  • Do not merge from upstream again if your code can work and merge cleanly without doing so.
張 旭

plataformatec/simple_form - 0 views

github.com/...simple_form

rails gem form html

shared by 張 旭 on 29 Aug 16 - No Cached
  • The basic goal of Simple Form is to not touch your way of defining the layout
  • by default contains label, hints, errors and the input itself
  • Simple Form acts as a DSL and just maps your input type (retrieved from the column definition in the database) to a specific helper method.
  • ...68 more annotations...
  • can overwrite the default label by passing it to the input method
  • configure the html of any of them
  • disable labels, hints or error
  • add a hint, an error, or even a placeholder
  • add an inline label
  • pass any html attribute straight to the input, by using the :input_html option
  • use the :defaults option in simple_form_fo
  • Simple Form generates a wrapper div around your label and input by default, you can pass any html attribute to that wrapper as well using the :wrapper_html option,
  • By default all inputs are required
  • the required property of any input can be overwritten
  • Simple Form will look at the column type in the database and use an appropriate input for the column
  • lets you overwrite the default input type it creates
  • can also render boolean attributes using as: :select to show a dropdown.
  • give the :disabled option to Simple Form, and it'll automatically mark the wrapper as disabled with a CSS class
  • Simple Form accepts same options as their corresponding input type helper in Rails
  • Any extra option passed to these methods will be rendered as html option.
  • use label, hint, input_field, error and full_error helpers
  • to strip away all the div wrappers around the <input> field
  • is to use f.input_field
  • changing boolean_style from default value :nested to :inline
  • overriding the :collection option
  • Collections can be arrays or ranges, and when a :collection is given the :select input will be rendered by default
  • Other types of collection are :radio_buttons and :check_boxes
  • label_method
  • value_method
  • Both of these options also accept lambda/procs
  • define a to_label method on your model as Simple Form will search for and use :to_label as a :label_method first if it is found
  • create grouped collection selects, that will use the html optgroup tags
  • Grouped collection inputs accept the same :label_method and :value_method options
  • group_method
  • group_label_method
  • configured with a default value to be used on the site through the SimpleForm.country_priority and SimpleForm.time_zone_priority helpers.
  • association
  • association
  • render a :select input for choosing the :company, and another :select input with :multiple option for the :roles
  • all options available to :select, :radio_buttons and :check_boxes are also available to association
  • declare different labels and values
  • the association helper is currently only tested with Active Record
  • f.input
  • f.select
  • create a <button> element
  • simple_fields_for
  • Creates a collection of radio inputs with labels associated
  • Creates a collection of checkboxes with labels associated
  • collection_radio_buttons
  • collection_check_boxes
  • associations in your model
  • Role.all
  • the html element you will get for each attribute according to its database definition
  • redefine existing Simple Form inputs by creating a new class with the same name
  • Simple Form uses all power of I18n API to lookup labels, hints, prompts and placeholders
  • specify defaults for all models under the 'defaults' key
  • Simple Form will always look for a default attribute translation under the "defaults" key if no specific is found inside the model key
  • Simple Form will fallback to default human_attribute_name from Rails when no other translation is found for labels.
  • Simple Form will only do the lookup for options if you give a collection composed of symbols only.
  • "Add %{model}"
  • translations for labels, hints and placeholders for a namespaced model, e.g. Admin::User, should be placed under admin_user, not under admin/user
  • This difference exists because Simple Form relies on object_name provided by Rails' FormBuilder to determine the translation path for a given object instead of i18n_key from the object itself.
  • configure how your components will be rendered using the wrappers API
  • optional
  • unless_blank
  • By default, Simple Form will generate input field types and attributes that are supported in HTML5
  • The HTML5 extensions include the new field types such as email, number, search, url, tel, and the new attributes such as required, autofocus, maxlength, min, max, step.
  • If you want to have all other HTML 5 features, such as the new field types, you can disable only the browser validation
  • add novalidate to a specific form by setting the option on the form itself
  • the Simple Form configuration file
  • passing the html5 option
  • as: :date, html5: true
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