LingoBot Installation

Configuration Overview

To start the lingobot service, some configuration is needed first.

1. A lingobot user needs to be added and configured in Jenkins
2. A lingobot user needs to be added to the Dashboard
3. A bot needs to be created on your chosen adapter (Slack or Flowdoc)
4. All the infomation about these users needs to be encapsulated in the configuration file to start the lingobot service on the globalization server.
5. Start the lingoport.lingobot service on server.

Configuration for LingoBot is intended to be as simple as possible. All that is needed for this friendly chatbot to be ready for use are a few environment variables, all of which should be set in LingoBot's configuration file. The config file can be found in LingoBot's home directory under the "config" sub-directory. By default, LingoBot home is set to:

/var/lib/jenkins/lingoport/lingobot-X.Y

Below is a template of the configuration file's contents. The file itself is called lingobot_config.sh

# REQUIRED CONFIG VARIABLES
export LINGOBOT_JENKINS_USERNAME=lingobot # default: lingobot
export LINGOBOT_JENKINS_TOKEN=11d018ccbbea23a25cc443c8379aa3beda
export LINGOBOT_JENKINS_DOMAIN=http://acme.company.com/jenkins
export LINGOBOT_DASHBOARD_TOKEN=b7b190943d79516218b43775975a73f85eb6c67d
export JENKINS_HOME=/var/lib/jenkins # default: /var/lib/jenkins
export PORT=5001 # default: 5001
export LINGOBOT_ADAPTER=slack # Possible values: 'flowdock', 'slack', (coming soon)'sparkwebhook'

# OPTIONAL CONFIG VARIABLES
export LINGOBOT_JENKINS_PORT=8080 # default: 8080
export LINGOBOT_DASHBOARD_URL=http://acme.company.com # default: same as jenkins domain
export LINGOBOT_DASHBOARD_PORT=9000 # default: 9000
export LINGOBOT_NAME=LingoBot # default: LingoBot. This is the name to which lingobot will respond.

# API TOKENS FOR ADAPTERS
export HUBOT_FLOWDOCK_API_TOKEN=
export HUBOT_SLACK_TOKEN=xoxb-261328978756-rOmdLfqPg45U1Nm6iSczcetv
export CISCOSPARK_ACCESS_TOKEN=
export CISCOSPARK_SECRET=
export LINGOBOT_API_TOKEN= #this can be left blank, it will be filled in by the installation

# OPTIONAL CONFIGS FOR LINGOBOT API
# If these are unset, the default values are used
export LINGOBOT_API_STATUS_INTERVAL_SECONDS_ARRAY= # example: 15,30,60,150,300 (note: the last interval will continue to be used until the timeout    is reached
export LINGOBOT_API_STATUS_TIMEOUT_MINUTES= # identifies how long a JVM request will wait for a response. example: 60
export LINGOBOT_API_STATUS_MINUTES_TO_KEEP_MAXIMUM= # identifies the maximum number of minutes a response message will be retained on the server

Set Up Jenkins Lingobot User

LingoBot Dashboard Setup

the Collaboration Environment Configure the Collaboration Environment

Next, you will find instructions on how to obtain all of the necessary values to properly fill out this configuration file.

Skip to the collaboration environment you will be using:

• Slack
• CA Flowdock
• Cisco Spark

LingoBot Slack Setup

This portion of the installation guide only applies if the collaboration environment you will be using is Slack. If you will be using either Flowdock or Cisco Spark, please skip to the corresponding setup instructions.

• Navigate to the Slack Custom Bot Creation page, and log in as an account that is a part of your company's Slack organization.
• In the new bot username field, enter the name that you would like LingoBot to respond to.
  • By default, we recommend simply calling it "lingobot", however you're welcome to name it whatever you would like.
  • If you do choose to call it something other than "lingobot", make sure that you set the LINGOBOT_NAME variable in the configuration file to whatever name you chose.
    • Example: export LINGOBOT_NAME=lingobot-123
• Once you have decided on a name, click "Add Bot Integration" to continue to the next page.
• On this page, you can set a custom icon for the bot under the "Customize Icon" section. You can download the following icon and upload it, upload your own custom icon, or simply leave it blank.

• Once this is done, scroll down to the bottom of the page and click "Save Integration"
• Finally, copy the API Token that is provided near the top of the page and paste it into the LingoBot configuration file next to the HUBOT_SLACK_TOKEN variable declaration.

Example:

export HUBOT_SLACK_TOKEN=xoxb-1234567890000-aAbBcCdDeEfFgGtTfF

Furthermore, make sure the LINGOBOT_ADAPTER variable is set to "slack".

Example:

export LINGOBOT_ADAPTER=slack

Once this is complete, the bot is now configured and ready to be installed! Follow the instructions below on running the installation script to finish the installation process.

Skip to the next step: Running The Installation Script

LingoBot CA Flowdock Setup

This portion of the installation guide only applies if the collaboration environment you will be using is CA Flowdock. If you will be using either Slack or Cisco Spark, please follow the corresponding setup instructions.

Setting up LingoBot to run on CA Flowdock is as simple as creating a new user account through which LingoBot will communicate. If you would rather not deal with the hassle of creating a new Flowdock user account, feel free to ask us to make one for your LingoBot instance. We will send you the API token needed for LingoBot's configuration file and you can simply invite the account to join your Flow once it is ready.

If you don't mind creating the account yourself, then simply follow these instructions to do so.

• First, you will need an email account with which you can create a Flowdock account. You can make one for free on Gmail if need be.
• Once this is completed, navigate to the Flowdock Sign Up page and click "Sign Up Using Google"
• When prompted, sign in using the Google account you created for LingoBot (alternatively, you can sign up using a non-google account by filling out the details manually).
• Once the account has been created, navigate to the Profile Editing Page and set the following information:
  • Name: Lingoport Chatbot
  • Display Name: By default, we recommend simply calling it "lingobot", however you're welcome to name it whatever you would like.
    • If you do choose to call it something other than "lingobot", make sure that you set the LINGOBOT_NAME variable in the configuration file to whatever name you chose.
    • Example: export LINGOBOT_NAME=lingobot-123
  • Avatar: You can download the following icon and upload it, upload your own custom icon, or simply leave it blank.

• Once this is done, scroll down and click "Update Profile"
• The final step is to navigate to the API Tokens page. Here you will find an API token labeled "Personal Api Token".
• Copy the API token and paste it into the LingoBot configuration file next to the HUBOT_FLOWDOCK_API_TOKEN variable declaration.

Example:

export HUBOT_FLOWDOCK_API_TOKEN=0a1b2c3d4e5f6g7a8b9c0d

Furthermore, make sure the LINGOBOT_ADAPTER variable is set to "flowdock".

Example:

export LINGOBOT_ADAPTER=flowdock

Once this is complete, the bot is now configured and ready to be installed! Follow the instructions below on running the installation script to finish the installation process.

Skip to the next step: Running The Installation Script

LingoBot Cisco Spark Setup

This portion of the installation guide only applies if the collaboration environment you will be using is Cisco Spark. If you will be using either Slack or CA Flowdock, please follow the corresponding setup instructions.

Configuring LingoBot to communicate via Cisco Spark is a fairly straight forward process. All that is required is access to an account that has access to your organization's Cisco Spark.

Creating a Custom Bot

• The first step is to sign in to your Cisco Spark account on the Developer Portal.
• Once signed in, navigate to the Custom Bot Creation page.
• On the bot creation page, fill in the form with the following information:
  • Display Name: By default, we recommend simply calling it "lingobot", however you're welcome to name it whatever you would like.
    • If you do choose to call it something other than "lingobot", make sure that you set the LINGOBOT_NAME variable in the configuration file to whatever name you chose.
    • Example: export LINGOBOT_NAME=lingobot-123
  • Bot Name: Ideally this should be the same as the display name, however due to the necessity that it be unique this can be just about anything. This will only be used to invite the bot to a chat room.
  • Icon: Paste the following URL into the Icon field: http://i.imgur.com/3bzw0zp.jpg
• Once this is done, click "Add Bot". On the following page, you will find an API token. Click the "Copy" button next to it (or select and copy the token itself) then paste it into the LingoBot configuration file next to the CISCOSPARK_ACCESS_TOKEN variable declaration.

Example:

export CISCOSPARK_ACCESS_TOKEN=LDA5YjBiOTItMTAwOS00ODMxLTk4ZjEtYTQ4OGI4N2FjN2Y2MjVlM2QyNTUtYmM2

Creating a Webhook for LingoBot

• The final step is to create a webhook that LingoBot can receive message event notifications through. To do this, navigate to the Spark Webhook Creation Page.
• Make sure that the "Test Mode" switch is turned ON. This will allow you to generate webhooks directly into your organization's account.
• Under the "Request Headers" section, fill in the following information:
  • Authorization: "Bearer [YOUR BOT'S API TOKEN HERE]"
• In the "Request Parameters" section, fill in the the following information under the "Your values" column:
  • name: This can be anything. i.e. "lingobot".
  • targetURL: "[YOUR JENKINS INSTANCE URL HERE]:5001/hubot/ciscospark/incoming"
  • resource: "all"
  • event: "all"
  • secret: This can be just about anything, but ideally it is a random string of letters and numbers that it at least 32 characters long.
    • Whatever you chose for this must also be copied to the LingoBot configuration file, next to the CISCOSPARK_SECRET variable declaration.

Example:

export CISCOSPARK_SECRET=a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6

• Once all of these values have been entered, click the "Run" button. You should see a response containing the webhook's information on the right.

Finally, make sure the LINGOBOT_ADAPTER variable is set to "sparkwebhook".

Example:

export LINGOBOT_ADAPTER=sparkwebhook

Once this is complete, the bot is now configured and ready to be installed! Follow the instructions below on running the installation script to finish the installation process.

Running The Installation Script

With Sudo

This is the final step in the configuration process. If all goes well, your instance of LingoBot will be up and running once this step has been completed.

• On the command-line shell where you have been modifying the LingoBot configuration file, save and close the file.
• if you have been operating as the "jenkins" user, change users so that you are on an account that has root privileges (unrestricted access to the sudo command).
  • Typically this will be either the "centos" account or the "ec2-user" account, depending on your installation.
  • If you are unable to access an account with root privileges, skip to the "Without Sudo" section below.
• Once this is done, simply execute the install.sh script. This script can be found in LingoBot's home directory under the "lingobot_installer" sub directory.

Example:

/var/lib/jenkins/lingoport/lingobot-<x.y>/lingobot_installer/install.sh

If everything has been configured correctly, then this script will take only a few seconds to run. Otherwise, the output of the script will tell you which aspects of the bot need to be reconfigured. If something needs to be changed, simply modify the LingoBot config file and rerun the install script until it reports a successful installation.

Once this is done, your instance of LingoBot will be up and running!

Without Sudo

If you are unable to access an account that has root privileges, the LingoBot installation script can be run as the "jenkins" user by including the '--nosudo' ('-n') flag.

Example:

 /var/lib/jenkins/lingoport/lingobot-<x.y>/lingobot_installer/install.sh --nosudo

NOTE: if the no-sudo flag is included, the installer will neither configure nor start the LingoBot service. To start the service manually, you must have access to root privileges. The following commands can be run to manually start the LingoBot service.

sudo cp /var/lib/jenkins/lingobot-1.0/service_files/lingoport-lingobot.service /etc/systemd/system/lingoport-lingobot.service
sudo systemctl enable lingoport-lingobot.service
sudo systemctl start lingoport-lingobot.service

Once this is done, your instance of LingoBot will be up and running!

Installation Verification

A quick way to verify that the LingoBot service has successfully launched and can be accessed by your team, go to your collaboration environment and try sending a message to LingoBot. To do this, you may have to invite LingoBot to the room you are currently in.

Example:

@lingobot ping

if LingoBot responds with "PONG", then you have successfully launched LingoBot. Have Fun!

Verify that you see the correct projects:

 @lingobot list projects

Check that the dashboard comes up. Select the link and make sure it shows the correct dashboard.

 @lingobot show dashboard

Troubleshooting

I ran the install.sh script. I found that I had set some of the variables incorrectly. So, what now?

If the variables need to be modified:

• Stop the LingoBot service (for example sudo systemctl stop lingoport-lingobot.service, see above)
• edit the lingobot_config.sh configuration file
• Run the install.sh script (See above)
• Make sure the LingoBot service has started (for example sudo systemctl status lingoport-lingobot.service, see above)

Running LingoBot on the CLI

TBD