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so lover and welcome to another tutorial my name is Henry Bakshi and this time we're going to be going over how you can create a Watson conversation application which includes contextual features which essentially piece well let me actually simplify this so to begin we're going to be using IBM Watson conversation more specifically the context feature of the service and let's just dive right into what this means today so just arriving in though I like to say a big thank you to one of my subscribers who Daiya for sending in this question and so of course thank you much for reminding me to create this video so this is actually kind of a part two I guess you could call it to my earlier drone videos where you could ask loss in conversation for example what's the battery percentage in the drone and it would be able to answer you that was using IBM Watson conversations context feature so let's take a look at what that is and how it works so to begin let's say we've got our Watson conversation Watson conversation little service over here okay so we've got our service and let's also say that we've got our node.js application and of course we've got our drill now I'm not going to get into how you know the Raspberry Pi is able to send messages from the drone into the a ask them back instead I'm just going to simplify it all by saying that the drone just sends nodejs it's valeria for it's but a drone keep sending no js' a lot of information actually about itself but one of those keys would be battery percentage okay and so what's happening is that lets say that Watson conversation let's say actually that you say that let's say the users input to Watson conversation would be um what's the battery level okay and they were to send this string - no - as input what would happen is before sending the request to IBM Watson now it's not just going to do that what's going to happen it is going to form a request and so it'll create this little request and that request will be sent to lots of conversation the request contains quite a few things namely the input it contains the input which would be of course this string and we've also got of course something else like for example a context which is a JSON and also this is a string and there are a few more things but I will get into that right now so these are two piece that are very important to us so no js' will form a request which contains the input in the context and these two are sent to watson conversation so how does this work though well essentially the context is a JSON value and this JSON value contains a key called battery P okay and this so if I just draw this contains something called a key called battery P and the value is really however much battery is left in the drone for example 65 for first 65% we're just going to say 65 sorry and then we're going to close our curly brace and this is essentially our JSON value we've got a battery P 65 and so this is the context that's being sent to IBM Watson conversation and Watson conversation like the dialogue that I've created here what it does is let's say it needs to send let's say it needs to find the battery percentage the it'll actually go through its contacts and if it contains the battery p-value then it'll give something else that contains that battery P tell you but if it doesn't have this in its context where this is equal to a null value what's going to happen is it's going to go through another dialogue chain but it it can it can return back to no just no J sorry essentially that sorry I don't have the battery information right now please try asking again later or make sure that your turns and drum turned on that's a good thing same thing for altitude information same thing for all this type of information that lots and conversation can give you if you ask for it but then again without any further ado let's get straight to the Mac part now we're I'm going to be showing you how you can code in a simple nodejs application using the same pizza example that I gave you a little while ago in my last Watson conversation video and now we're going to be incorporating context so it Watson actually knows about the pizza that you're building and is then able to send that pizza over to really any sort of a nodejs API so that they can actually request the pizza company to create the pizza for you all right let's actually do that now let's get straight to the knock part where I'm going to be showing you how to build that nodejs application let's go now shall we alright so welcome back to the Mac part and now we're going to be covering how exactly you can create this Watson conversation but so now remember the entire point of this Watson conversation boss is to essentially tell you the current hour and minute and of course say hello and goodbye to you and so let's begin shall we so you can see over here I've got a terminal window open right here at figure something agency oh and then of course over here on this side I've got the lots and conversation workspace open here so now let's actually begin by going over the Swanson conversation workspace it's actually quite simple I just have a by intent which has by goodbye I must go I will go now see you soon time has current time I eaten all the time please tell me the time time what's the time when is it and then of course greeting contains hello hey hi how are you how do you do nice to meet you now these are all the intents that we have in this application quite simple of course we have no entities because there's nothing complex that we're doing here but the dialogue is extremely simple as well we basically just have a greeting where Watson can respond with hello a by intent where wasps can respond with by I hope to see you soon and then of course we've got another intent which is okay if you want to know the current time and I currently have time meaning that the our context variable is greater than negative 1 and the minute context variable is greater than negative 1 now before I explain what that means that I know this is essentially a tutorial that will teach you how to actually use context with IBM Watson before I tell you how this know it works here let me show you a demo of this application in action so again this is coded in nodejs here so if I run this application as you can see I've actually salvaged some of this code from my Facebook live event with IBM so you can actually go check that up and check that out if you like there will be a link in the description now once more so it's essentially Watson says hello to us as you saw in this greeting node and then we can say to Watson hey what's the time Watson responds with the time is currently 2/3 one amp all right so now we can also ask you to tell us by and Watson says bye I hope to see you soon then you can exit the application and so that is essentially how this application works now as you can see that was actually the correct time over here if you look at the watch now one more thing to note here is that what's happening is every time you send a request to Watson whether it's saying bye or what's the time or anything you are sending the current time to IBM Watson ok in this current time is that used by IBM Watson to either give a response or it's just story ok and so essentially the point is here that let's just say I wanted to use this application do ring let's say I mean inside of this workspace ok so it says let's just clear this and so let's just say I say or hi in in this workspace it knows that this is a greeting intent and it says hello but let's just say I say what's the time it's going to give me an error okay or or let's just say sorry your application is not provided me with a current time the reason is because this workspace over here doesn't have the code that I've implemented in order to give Watson conversation the context which is the current time however over here are no js' application it is sending Watson the current time in the context and so Watson is able to parse that out give it to you as a response if you've asked for it and just because you don't work here let's take a look at the source code itself so once again as you can see quite simply just with any other you know just with any type of node.js application we are declaring our imports or requires and in this case we're just importing Watson developer cloud library we are also importing or we're actually defining the variable conversation which is equal to a new Watson conversation we're giving it the correct username and password we're giving a good version and a version date and this is where the fun part comes in so as you can see I'm actually declaring an object here okay this object is called context and inside of context of setting the hour to negative one and the minute to negative one this means that if Watson has have not been provided with the current hour a minute for some reason even though it should be then they will be negative one and as you can see from this node over here we are checking if these values are 91 if they're negative one then we're going to say that sorry your application is not provided me with this information but if they're greater than negative one then we know that we can actually idiot we have this current latest information and we can give it to the user next in our nodejs application we've got a prompt function man this prep function again this is actually been taken from a stack overflow post and so there will be a link to this prompt function down in the description essentially what this allows me to do is just essentially ask the user for input and so essentially this will allow me to say okay let's say I want input from users you want some conversation as you can see I just say you as what I'm asking the user and then the user types in what they want to send to Watson that's simple but of course we've also got a time convert function again very very simple this is from a stacker or so I'll post the link to the stack overflow post will be in the description and this will essentially convert 24-hour time to a.m. p.m. time okay and this a.m. p.m. time is actually pretty important because of course I mean for this example I wanted to give you 24 I mean sorry 12-hour time not 24-hour time and since no js' by default gives us 20 that 24-hour time we have to convert that to 12-hour so this is again just a very simple function not too much related to the core workings of this application or Watson context then we have one more function called conversation message which takes a message and so this is actually the core function that allows us to well try to use this application and so here we did good as you can see this logic over here basically gets the current date and it gets a 12 hour time format using the time convert function okay then in the context object that as you know we have set right here we are telling the hour to be we're just you know parsing that out of the T convert result and then of course we're setting the minute to another you know we're parsing out the minute from the Tekin result once more once that's done we're calling conversation dot message on this conversation variable that we had defined in the beginning of this application essentially this will be given a workspace ID some input which is your current message which was passed to conversation message and then of course the context and this context contains the I guess you could say well it's quite literally context that I need Watson should know to continue from if they're asked something related to that context in one of the dialog notes or as the intent and so once we've sent this request to Watson and we've given it the new context and the workspace ID and the input we wait for its response and if we got an error we just print out the error and continue but if we got our response and then we're going to print out this is what Watson said that we're going to parse out Watson's response and then we're going to ask for another prompt again our input is you we want the question to be you and so basically the callback is once the user has provided some input which is in this input variable we will call conversation message with that input which becomes undefined I type it will keep asking me questions you give Watson some input it'll give you output and it continues after that we set the context to the responses context but why we do this well essentially let's just say that in the dialogue note Watson had actually modified the context or there's some update in the context well in that case we want to set our current context to this new context in order to keep both applications in sync both Watson and ourselves and that is basically how it works and just to you know kick start the conversation we call conversation message with hi and that is basically how this entire application works in fact let's actually take a look at one more demo here let's just ask lots of what's the time bye or and as you can see it says the time is currently 247 a.m. all right as you can see then of course it continues in that infinite loop it asks me for more input but what I can do is just ctrl C and exit that in finite loop now one more thing that's absolutely critical to understanding context with Watson conversation is how it's actually used in the dialogue so as you can see I'm in the dialogue pane of the Watson workspace here if I and if I click on this node which handles giving time to the user as you can see this note is triggered by if their intent is to find the time and if the our context variable is greater than night negative 1 now you already know what the greater than negative 1 means great and negative 1 is the default which means that at this point we do not have time if it's negative 1 ok but it's mo it is if you're writing from the node.js application with code then it's for sure that will always be greater than negative one we're spreading listen as a protective measure and so essentially what this means is as you can see over here if I just zoom in maybe a little bit yeah so as you can see I'm actually calling I'm actually getting this context variable with a dollar sign here now for an intent you put a hashtag symbol for an entity would put an at the rate symbol but for this context variable we're putting a dollar sign as you can see right at the source code here you can see in the context we're setting the variables hour and minute and that's what we're doing dollar sign our dollar sign minute those are our context variables and if you can say if you have these variables that means that Watson is getting this context correctly and of course we are checking if it's greater than negative one then we know in that case that we currently do have a time and in the response with the actual response here we can see that the time is currently and then give it the context variable per hour and the context variable per minute in order to give the user the current correct time and that is essentially how this entire application works and how Watson conversation deals with context of course thanks to Diane for sending in this question originally I hope this was able to help you out but of course that's going to be it for this tutorial all right so if you have any more questions suggestions or feedback please do feel free to leave that in the comments down below she emailed them to me at Teddy mini gmail.com or tweet them to me at Taji betty if you like you can also subscribe to the channel as it really does help out a lot and also like the video and share if you think it could help someone else you know alright so that's gonna get from this video today thank you very much goodbye