Add Documentation

README.md

@@ -0,0 +1,64 @@
+## Pre-requisites:
+
+   - Line app
+   - Github
+   - Heroku
+
+
+## Steps:
+
+1. Login/Sign up
+2. Create a LINE@ account with enabled Messaging API on [Line Business Center](https://business.line.me/en/)
+3. Configure your bot
+4. Develop your bot
+5. Deploy your bot
+
+## 1- Login/Sign up:
+
+If you have Line account then move to next step else sign up for an account and make
+ one. 
+## 2- Create a LINE@ account with enabled Messaging API:
+
+- In the [Line Business Center](https://business.line.me/en/), select Messaging API under the [Service](https://business.line.me/en/services/bot/) category at the top of the page.
+- Select either Start using Messaging API.
+- Enter the required information for your new LINE@ account. Confirm the information.
+- Click the LINE@ MANAGER button at the bottom of the confirmation page.
+- Go to the settings and then  Bot Settings page of the LINE@ Manager then click Enable API.
+
+![LINE_LOGIN](/docs/images/Line_Business_Center_Login.PNG)
+
+## 3- Configure your bot:
+
+- In the LINE@ Manager, go to the Bot Settings, which can be found under "Settings" on the side menu.
+- To reply to messages using webhooks, select Allow for "Use webhooks" under "Request Settings"
+- To participate in group chats, select Allow for the "Allow bots to join group chats" option.
+- To send a customized response message to user messages, select Allow for the "Auto Reply Message" option.
+- To send a customized greeting message when users add your account as a friend, select Allow for the "Greeting Message" option
+
+![BOT_SETTINGS](/docs/images/Bot_Settings.PNG)
+
+Go to Accounts option at top of page and open LINE Developers from there
+
+- To issue a Channel access token for accessing APIs, click ISSUE for the "Channel access token" item.
+- Click EDIT and set a webhook URL for your Channel.
+
+![CHANNEL_CONSOLE](/docs/images/Channel_Console.PNG)
+After following these steps your account is ready and you are good to go to develop your bot.
+
+## 4- Develop your bot:
+
+You can develop your own bot or you can fork this repository and deploy it to heroku.
+
+## 5- Deploy your bot:
+
+To deploy your bot to heroku you need an account on [Heroku](https://www.heroku.com/) and after making an account make an app
+
+You can see how to deploy on [Heroku blog](https://devcenter.heroku.com/articles/git)
+
+After making app copy this link and paste it in webhook url in Line channel console page from where we got channel access token.
+
+                https:{your_heroku_app_name}.herokuapp.com/webhook
+
+![WEBHOOK_URL](/docs/images/WebHook_Url.PNG)
+
+And now you application already active.

docs/installations/gce-kubernetes.md

@@ -0,0 +1,68 @@
+## Setup:
+
+- If you don't already have a Google Account (Gmail or Google Apps), you must [create one](https://accounts.google.com/SignUp). Then, sign-in to Google Cloud Platform console ( [cloud.google.com](http://console.cloud.google.com/)) and create a new project.
+
+- Subscribe [free tier](https://cloud.google.com/free/) for 12 months.Next, [enable billing](https://console.cloud.google.com/billing) in the Cloud Console in order to use Google Cloud resources and [enable the Container Engine API](https://console.cloud.google.com/project/_/kubernetes/list).
+
+- Install [Docker](https://docs.docker.com/engine/installation/), and [Google Cloud SDK](https://cloud.google.com/sdk/).
+- Finally, after Google Cloud SDK installs, run the following command to install kubectl:
+                gcloud components install kubectl
+
+- Choose a [Google Cloud Project zone](https://cloud.google.com/compute/docs/regions-zones/regions-zones) to run your service. We will be using us-central1. This is configured on the command line via:
+
+                gcloud config set compute/zone us-central1
+
+
+## Registering a Domain and Pre Deployment Steps: 
+
+- You can register free domain at [http://www.freenom.com](http://www.freenom.com/).Next, you have to set IP for DNS of this domain.
+
+- Reserve static IP address with this command:
+
+                gcloud compute addresses create IPname --region us-central1
+
+- You will get a created message. To see your IP go to VPC Network -> External IP addresses.
+
+- Add this IP to DNS zone of your domain and to the kubernetes/yamls/nginx/service.yaml file for "loadBalancerIP" parameter.
+
+- Change enviroment variavles in kubernetes/yamls/application/deployment.yaml
+
+- Replace domain name in kubernetes/yamls/application/ingress-notls.yaml and kubernetes/yamls/application/ingress-tls.yaml with your domain name.
+
+- Add your email ID to kubernetes/yamls/lego/configmap.yaml for "lego.email" parameter.
+
+
+## Deployment:
+
+- First create a cluster
+
+                gcloud container clusters create clusterName
+
+- In gcloud shell run the following command to deploy application using given configurations.
+
+                bash ./kubernetes/deploy.sh create all
+
+-  This will create the deployment as we have defined in the script.
+
+- The Kubernetes master creates the load balancer and related Compute Engine forwarding rules, target pools, and firewall rules to make the service fully accessible from outside of Google Cloud Platform.
+
+- Wait for a few minutes for all the containers to be created and the SSL Certificates to be generated and loaded.
+
+## Tracking:
+
+- To track the progress using the Web GUI run
+
+                kubectl proxy
+
+- After that goto [http://localhost:8001/ui](http://localhost:8001/ui)
+
+## Cleanup:
+
+- If you want to delete the deployment from the cluster enter this command:
+
+                bash ./kubernetes/deploy.sh delete all
+
+
+- To delete cluster enter:
+
+                gcloud container clusters delete clusterName