To launch the chatbot, you need to install the js environment. If necessary, download and install the latest version of Node.js from official website
After completion, you need to check whether the environment was deployed correctly. To do this, open a command line (for example, cmd or bash) and enter the query:
node -v
Download and unzip the zip-archive of the project or clone it with the version control system command:
How to install Git version control?
Download and install the Git version control system appropriate for your operating system from official website.
In order to set up a chatbot on your Whatsapp account, you need to go to your personal account and register. For new users, instructions are provided for setting up an instance and obtaining the parameters necessary for the chatbot to work, namely:
idInstance
apiTokenInstance
Don't forget to enable all notifications in your instance settings so that the chatbot can start receiving messages immediately. After receiving these parameters, find the class bot.js and enter idInstance and apiTokenInstance into the constant values. Data initialization is necessary to link the bot with your Whatsapp account:
which are responsible for receiving notifications about incoming and outgoing messages.
The process of changing settings takes several minutes, during which time the instance will be unavailable. Messages sent to the chatbot during this time will not be processed.
After the settings are applied, notifications about previously received incoming messages will be deleted. This process is also written in the library whatsapp-chatbot-js and starts automatically after changing the settings.
This is necessary so that the chatbot does not start processing messages from old chats.
After changing the settings and deleting incoming notifications, the chatbot will begin to respond to messages as standard. In total, this process takes no more than 5 minutes.
To stop the chatbot, use the keyboard shortcut Ctrl + C in the command line.
By default, the chatbot uses links todownloading files from the network, however, users can add their own links to files, one for a file of any extension pdf / docx /... and one for a picture.
Links must lead to files from cloud storage or public access. In the file endpoints.go there is the following code to send the file:
Add a link to a file of any extension as the first parameter of the answerWithUrlFile method and specify the file name in the second parameter. The file name must contain an extension, for example "somefile.pdf". This line after modification will be in the following format:
If the previous steps have been completed, then the chatbot should be working on your Whatsapp account. It is important to remember that the user must be authorized in console.
Now you can send messages to the chatbot!
The chatbot will respond to any message sent to your account. Since the chatbot supports several languages, before greeting the interlocutor, the chatbot will ask you to select a language of communication:
1 - English
2 - Kazakh
3 - Russian
Answer with 1, 2 or 3 to select the language for further communication. After you send 1, the chatbot will send a welcome message in English:
Welcome to GREEN-API chatbot, user! GREEN-API provides the following types of data sending. Select a number from the list to check how the sending method works
1. Text message 📩
2. File 📋
3. Picture 🖼
4. Audio 🎵
5. Video 📽
6. ...
To return to the beginning write stop or 0
By selecting a number from the list and sending it, the chatbot will answer which API sent this type of message and share a link to information about the API.
For example, by sending 1, the user will receive in response:
This message was sent via the sendMessage method.
To find out how the method works, follow the link
https://green-api.com/docs/api/sending/SendMessage/
If you send something other than numbers 1-13, the chatbot will succinctly answer:
Sorry, I didn't quite understand you 😔, write a menu to see possible options
The user can also call up the menu by sending a message containing “menu”. And by sending “stop”, the user will end the conversation with the chatbot and receive the message:
The main file of the chatbot is bot.js, it contains the main function and program execution begins with it. In this file, the bot object is initialized, the first scene is set, and the bot is launched.
asyncfunctionmain(){conststrings=getStringsData()//Getting data from the strings.yml file in which the bot's replicas are storedconstbot=newWhatsAppBot({//Initiate a bot objectidInstance:"{{INSTANCE_ID}}",apiTokenInstance:"{{TOKEN}}",})letsettings=awaitbot.telegram.restAPI.settings.setSettings({//Set settings so that the bot receives all the necessary webhooksincomingWebhook:"yes",outgoingMessageWebhook:"yes",outgoingAPIMessageWebhook:"yes",pollMessageWebhook:"yes",markIncomingMessagesReaded:"yes"})console.log(settings);awaitclearWebhookQueue(bot)//Clears the webhook queue of old notifications so that the bot does not process them////...Description of scenes//conststage=newStage([mainMenuScene,endpointsScene,startScene,createGroup])//Register scenes in the bot statebot.use(session())bot.use(stage.middleware())bot.on('message',(ctx)=>ctx.scene.enter('startScene'))//Setting the first scenelaunchBotWithErrorHandler(bot)//Launch the bot}
This bot uses scenes to organize its code. This means that the chatbot logic is divided into fragments (scenes), the scene corresponds to a certain state of the dialogue and is responsible for processing the response.
Each chat can only have one scene active at a time.
For example, the first scene startScene is responsible for the welcome message. Regardless of the text of the message, the bot asks what language is convenient for the user and includes the following scene, which is responsible for processing the response.
There are 4 scenes in total in the bot:
Scene startScene - responds to any incoming message, sends a list of available languages. Launches the MainMenu scene.
Scene mainMenuScene - processes the user's selection and sends the main menu text in the selected language. Launches the Endpoints scene
Scene endpointsScene - executes the method selected by the user and sends a description of the method in the selected language.
Scene createGroup - creates a group if the user said that he added a bot to his contacts. If not, returns to the "endpoints" scene.
The checkSession method is used to set the start scene again if the bot has not been contacted for more than 2 minutes. It checks how long ago the user touched and if it was more than 5 minutes ago, it updates the session and starts the dialogue again.
The ymlReader file contains a function that returns data from the strings.xml file. This file is used to store bot replicas.
The chatbot uses the library whatsapp-chatbot-js, where methods for sending and receiving messages are already integrated, so messages are read automatically, and sending regular text messages is simplified.
For example, a chatbot automatically sends a message to the contact from whom it received the message:
ctx.reply("text")
However, other send methods can be called directly from the whatsapp-api-client-js library. Like, for example, when receiving an avatar: