Constructing a ChatBot in Neo4j (Half Three)

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In half one, we discovered to take heed to our customers, in half two we started studying how one can speak again. Earlier than we go any additional into the saved process, how about we construct just a little entrance finish to point out off the work we have finished thus far on this proof of idea? That may even make issues simpler to check out and allow us to get into the mindset of the consumer.

There are a ton of choices right here, plenty of people like Spring and Spring Boot. Others are extra hipsters and into Micronaut. I’m much more of a hipster and like to make use of Jooby, but it surely does not matter. We’ll be utilizing Cypher, the Neo4j Drivers and the Saved Procedures we construct alongside the best way so technically you are able to do this in nearly any language.

I am not a designer, so I searched round on-line for a easy chat platform theme and located ” Swipe: The Easiest Chat Platform” for $19 bucks. That may save me a ton of time messing with CSS which I think about the darkish magic of net growth.

Jooby tasks begin fairly easy, observe together with the documentation and you’ll find yourself with one thing like this:


import io.jooby.Jooby; public class App extends Jooby { { get("/", ctx -> "Welcome to Jooby!"); } public static void major(String[] args) { runApp(args, App::new); }
}

We do not wish to welcome folks to Jooby, we wish to allow them to check out our chatbot software so let’s change that textual content to as a substitute ask the consumer to check in or register as a substitute:

Earlier than we get a lot additional, we’d like to have the ability to speak to Neo4j. We have to inform it {that a} consumer is making an attempt to register for that we’ll add the Neo4j Java driver to the pom.xml file and construct just a little Jooby extension. The Neo4jExtension will hook up with Neo4j utilizing a configured URI, username and password, then register the motive force on to the appliance. It appears to be like like this:


public class Neo4jExtension implements Extension { @Override public void set up(@Nonnull Jooby software) throws Exception { Setting env = software.getEnvironment(); Config conf = env.getConfig(); Driver driver = GraphDatabase.driver(conf.getString("neo4j.uri"), AuthTokens.fundamental(conf.getString("neo4j.username"), conf.getString("neo4j.password"))); ServiceRegistry registry = software.getServices(); registry.put(Driver.class, driver); software.onStop(driver); } }

Now we have to write the publish register endpoint. Our type is passing in an id, a password and a cellphone quantity for our consumer. We’ll encrypt the password, require the Neo4j Driver and use it to ship a Cypher Question to Neo4j to create the consumer.

 publish("/register", ctx -> { Formdata type = ctx.type(); String id = type.get("id").toOptional().orElse(""); String password = type.get("password").toOptional().orElse(""); String cellphone = type.get("cellphone").toOptional().orElse(""); password = BCrypt.hashpw(password, BCrypt.gensalt()); Driver driver = require(Driver.class); Map<String, Object> consumer = CypherQueries.CreateMember(driver, id, cellphone, password);

Some folks like having Cypher queries throughout their codebase. I kinda like having them largely huddled collectively. So we’ll create a CypherQueries interface the place will stick them for now. We’ll want a couple of helper strategies as effectively. One to create a session from our driver and execute the question given a set of parameters, and return an iterator of maps to make issues simpler to work with:

 static Iterator<Map<String, Object>> question(Driver driver, String question, Map<String, Object> params) { strive (Session session = driver.session()) { Checklist<Map<String, Object>> checklist = session.run(question, params) .checklist( r -> r.asMap(CypherQueries::convert)); return checklist.iterator(); } }

The convert methodology to convey again the whole lot again in a method that’s simply convertible to a map:

 static Object convert(Worth worth) { change (worth.kind().identify()) { case "PATH": return worth.asList(CypherQueries::convert); case "NODE": case "RELATIONSHIP": return worth.asMap(); } return worth.asObject(); }

With that plumbing out of the best way, we are able to get right down to what’s wanted. A cipher question to create the account and member:


String createMember = "CREATE (a:Account { id: $id, password: $password }) -[:HAS_MEMBER]->(member:Member { cellphone: $cellphone }) RETURN a.id AS id, member.cellphone AS cellphone";

…and a technique to tie issues collectively.

 static Map<String, Object> CreateMember(Driver driver, String id, String cellphone, String password) { Map<String, Object> response = Iterators.singleOrNull(question(driver, createMember, new HashMap<String, Object>() {{ put("id", id); put("cellphone", cellphone); put("password", password); }} )); 

For those who take a detailed take a look at that image, you may see that the member node has an entire bunch of properties we did not ask for. Like Title, Location, Gender, and so on. What offers? Effectively, I do not wish to waste the consumer’s time asking them issues I can determine alone. So I wrote one other extension to name the FullContact API with the e-mail and cellphone quantity used within the registration to counterpoint that members’ data. One of many good issues about working with Neo4j is that its schema non-compulsory. So no matter properties I can get from FullContact I can add to the member through this cipher question:


String enrichUser = "MATCH (a:Account)-[:HAS_MEMBER]->(member) WHERE a.id = $id AND member.cellphone = $cellphone SET member += $properties RETURN member";

However there are some caveats to that. First, Neo4j does not enable null values, so we’ve got to do away with these. Second, Neo4j does not enable nested properties and each the “particulars” and “dataAddOns” are available as JSON blobs, so that they need to go.


properties.values().removeIf(Objects::isNull);
properties.take away("particulars");
properties.take away("dataAddOns");

Third, the FullContact API has a price limiter (particularly for the free plan) so as a substitute of doing the request at registration, it’s despatched to a queue that runs a background job as soon as a second so we do not exceed the restrict.


enrichmentJob.queue.add(new HashMap<String, Object>() {{ put("e mail", id); put("cellphone", cellphone);
}});

Now we’d like to have the ability to use the saved process to talk with our consumer. We are able to name it similar to any Cypher question from the motive force, passing within the id and cellphone of the member in addition to the textual content they despatched us:

 String chat = "CALL com.maxdemarzi.chat($id, $cellphone, $textual content)"; static Checklist<Map<String, Object>> Chat(Driver driver, String id, String cellphone, String textual content) { return Iterators.asList( question(driver, chat, new HashMap<String, Object>() {{ put("id", id); put("cellphone", cellphone); put("textual content", textual content); }}) ); }

We’ll add an endpoint to just accept their chat publish request to our Jooby software that makes use of the strategy above and returns the response to our app.

 publish("/chat", ctx -> { String id = ctx.session().get("id").worth(); String cellphone = ctx.session().get("cellphone").worth(); Formdata type = ctx.type(); String chatText = type.get("chatText").toOptional().orElse(""); Driver driver = require(Driver.class); Checklist<Map<String, Object>> response = CypherQueries.Chat(driver, id, cellphone, chatText); return response; });

We may even wire all of it along with some old-fashioned Javascript as a result of that is all I bear in mind how one can do and now for the fruits of our labor. Once I kind “hey” into the chatbox and press enter, the saved process is known as and it attaches a brand new Message to our Member node, figures out what to answer, provides that to our graph and returns the end result.

Then we are able to visualize our reply within the chat window:

…and there we’ve got it. I took some effort to get this far. Within the subsequent half, we’ll transcend saying hey and get to some actual performance. The supply code, as at all times, is on Github.

Additional Studying

Constructing a Chatbot in Neo4j (Half Two)

The best way to Develop a Chatbot From Scratch

Info and Doc Chatbot

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