a11ywatch-cli

The A11yWatch Command Line Interface. View the cli-docs for more complete info.

Build

Get the CLI by running one of the commands below.

```sh

install via cargo

cargo install a11ywatch_cli

install via npm

npm i a11ywatch-cli -g ```

Startup:

```sh

build the instance first, this allows configuring architecture specifics like apple m1 chips.

a11ywatch build

start the instance. If you need the front-end client passing the -f option [min of 1.25gb of memory required alloc to docker resource].

a11ywatch start

if you need to upgrade the instance to new images run with the upgrade flag.

a11ywatch start --upgrade

start the instance with the front-end on port 3270.

a11ywatch start -f ```

Actions:

```sh

scan a url and pipe the stdout to a file.

a11ywatch scan -d --url https://a11ywatch.com > results.json

scan a url and attempt to fix code based on recommendations [installs the fast ripgrep crate for search].

a11ywatch scan --url https://a11ywatch.com --fix

scan a website multi page and pipe the stdout to a file.

a11ywatch crawl --url https://a11ywatch.com > results.json

scan a website multi page and include subdomains.

a11ywatch crawl --url https://a11ywatch.com -S > results.json

scan a website multi page and include subdomains and all TLD extensions.

a11ywatch crawl --url https://a11ywatch.com -S -t > results.json

scan a website multi page and get results parsed as checklist

a11ywatch crawl --url https://a11ywatch.com -d -n -s && a11ywatch --results-parsed-list ```

If you experience issues the cargo install a11ywatch_cli command, try running rustup update stable to make sure your cargo version is up to date.

ENV

Here are env vars that you can configure to enhance the system abilities. You can get your Computer Vision API key here. Grab your PageSpeed API key to speed up lighthouse parallel runs.

Example of a .env file below:

COMPUTER_VISION_SUBSCRIPTION_KEY="REPLACE_WITH_KEY" COMPUTER_VISION_ENDPOINT="REPLACE_WITH_ENDPOINT" PAGESPEED_API_KEY="REPLACE_WITH_PAGESPEED_API_KEY"

You can also use the CLI to configure your Computer Vision creditials.

```sh

replace $mycv_token and $myvcvname with your project name and CV API url

a11ywatch --set-cv-token $mycv_token a11ywatch --set-cv-url https://$myvcvname.cognitiveservices.azure.com/ ```

Example options and commands a11ywatch -h:

```sh a11ywatch_cli 0.6.51 j-mendez jeff@a11ywatch.com A11yWatch accessibility CLI.

USAGE: a11ywatch [OPTIONS] [SUBCOMMAND]

OPTIONS: -f, --find-results Log file results path

    --find-tmp-dir
        Get the apps tmp directory location

-g, --github-api-url
        Get github API endpoint of project

    --github-results-path
        Log file results github path

-h, --help
        Print help information

-r, --results-parsed
        Get results file parsed to json

-r, --results-parsed-list
        Get results file parsed as report list of passed / failed

    --results-issues
        Get the total amount of issues between errors,warning,notice that occured for the result
        set

    --results-issues-errors
        Get the total amount of issues of type error from result set

    --results-issues-warnings
        Get the total amount of issues of type warning from result set

    --results-parsed-github
        Get results of the github html message

-s, --set-token <SET_TOKEN>
        Set the API token to use for request

    --set-cv-token <SET_CV_TOKEN>
        Set the Computer Vision API token to use for request

    --set-cv-url <SET_CV_URL>
        Set the Computer Vision API endpoint to use for request

-V, --version
        Print version information

SUBCOMMANDS: build Build the project on the local machine [defaults to docker runtime] crawl Site wide scan a website url for issues deploy Deploy the build on remote infrastructure [BETA - defaults: GCP] extract Extract results in formats for platforms help Print this message or the help of the given subcommand(s) scan Single page scan a website url for issues start Start the application on the local machine [defaults to docker runtime] stop Stop the project on the local machine [defaults to docker runtime] terminate Destroy the build on remote infrastructure [BETA - defaults: GCP] ```

Supported Architectures

Mac, linux, and Windows.

Help

If you are trying to run a website that is running localhost inside a docker container you need to use your computers hostname instead.

In terminal run the command hostname and then you can use it ex: a11ywatch crawl --url $(hostname):3000

BETA

The following commands are currently in BETA and require you to have the repo locally tf-provider and set to your directory.

1. deploy (TERRAFORM)
2. destroy (TERRAFORM)

The scan sub command with the runner option and the remote deployment commands are a work in progress. You may experience issues with the sub commands, feel free to leave an issue when found. In general the CLI is in BETA and may contain breaking changes until v1.