Add Customer Support Bot with Gemini

This commit is contained in:
2025-11-12 11:15:05 +01:00
parent 1d1503c877
commit 9cce120e60
13 changed files with 535 additions and 1 deletions

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import org.springframework.boot.gradle.plugin.SpringBootPlugin
apply plugin: 'java'
apply plugin: 'org.springframework.boot'
apply plugin: 'io.spring.dependency-management'
description = "Customer Support ChatBot using Google Gemini AI"
java {
sourceCompatibility = JavaVersion.VERSION_21
targetCompatibility = JavaVersion.VERSION_21
}
repositories {
mavenCentral()
}
dependencyManagement {
imports {
mavenBom SpringBootPlugin.BOM_COORDINATES
}
}
dependencies {
implementation 'org.springframework.boot:spring-boot-starter-web'
implementation 'org.springframework:spring-webflux'
implementation "me.paulschwarz:spring-dotenv:4.0.0"
runtimeOnly 'org.springframework.boot:spring-boot-devtools'
testImplementation 'org.springframework.boot:spring-boot-starter-test'
}

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package com.example.customersupportchatbot;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class CustomerSupportChatbotApplication {
public static void main(String[] args) {
SpringApplication.run(CustomerSupportChatbotApplication.class, args);
}
}

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package com.example.customersupportchatbot.controller;
import com.example.customersupportchatbot.model.ChatRequest;
import com.example.customersupportchatbot.model.ChatResponse;
import com.example.customersupportchatbot.model.EnhancedChatResponse;
import com.example.customersupportchatbot.service.GeminiAIService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import reactor.core.publisher.Mono;
@RestController
@RequestMapping("/api/chatbot")
public class ChatbotController {
private final GeminiAIService geminiAIService;
@Autowired
public ChatbotController(GeminiAIService geminiAIService) {
this.geminiAIService = geminiAIService;
}
@PostMapping("/chat")
public Mono<ChatResponse> chat(@RequestBody ChatRequest request) {
if (request.getQuery() == null || request.getQuery().trim().isEmpty()) {
return Mono.just(new ChatResponse("Please provide a valid question or message."));
}
return geminiAIService
.generateResponse(request.getQuery())
.map(ChatResponse::new);
}
@PostMapping("/enhanced-chat")
public Mono<EnhancedChatResponse> enhancedChat(@RequestBody ChatRequest request) {
if (request.getQuery() == null || request.getQuery().trim().isEmpty()) {
return Mono.just(new EnhancedChatResponse("Please provide a valid question or message.", "error"));
}
return geminiAIService
.generateResponseWithCategory(request.getQuery())
.map(result -> new EnhancedChatResponse(result.get("response"), result.get("category")));
}
}

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package com.example.customersupportchatbot.controller;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
@RequestMapping("/health")
public class HealthController {
// Constructor injection of our service
@Autowired
public HealthController() {
}
/**
* Simple health check endpoint to verify the API is running
*
* @return A message indicating the API is up and running
*/
@GetMapping(value = {"", "/"})
public String health() {
return "Chatbot API is up and running!";
}
}

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package com.example.customersupportchatbot.model;
public class ChatRequest {
private String query;
public ChatRequest() {}
public ChatRequest(String query) {
this.query = query;
}
public String getQuery() {
return query;
}
public void setQuery(String query) {
this.query = query;
}
}

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package com.example.customersupportchatbot.model;
public class ChatResponse {
private String response;
public ChatResponse() {}
public ChatResponse(String response) {
this.response = response;
}
public String getResponse() {
return response;
}
public void setResponse(String response) {
this.response = response;
}
}

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package com.example.customersupportchatbot.model;
public class EnhancedChatResponse {
private String response;
private String category;
public EnhancedChatResponse() {}
public EnhancedChatResponse(String response, String category) {
this.response = response;
this.category = category;
}
public String getResponse() {
return response;
}
public void setResponse(String response) {
this.response = response;
}
public String getCategory() {
return category;
}
public void setCategory(String category) {
this.category = category;
}
}

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package com.example.customersupportchatbot.model;
import java.util.List;
public class GeminiRequest {
private List<Content> contents;
public GeminiRequest() {}
public GeminiRequest(List<Content> contents) {
this.contents = contents;
}
public List<Content> getContents() {
return contents;
}
public void setContents(List<Content> contents) {
this.contents = contents;
}
public static class Content {
private List<Part> parts;
public Content() {}
public Content(List<Part> parts) {
this.parts = parts;
}
public List<Part> getParts() {
return parts;
}
public void setParts(List<Part> parts) {
this.parts = parts;
}
}
public static class Part {
private String text;
public Part() {}
public Part(String text) {
this.text = text;
}
public String getText() {
return text;
}
public void setText(String text) {
this.text = text;
}
}
}

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package com.example.customersupportchatbot.model;
import java.util.List;
public class GeminiResponse {
private List<Candidate> candidates;
public GeminiResponse() {}
public GeminiResponse(List<Candidate> candidates) {
this.candidates = candidates;
}
public List<Candidate> getCandidates() {
return candidates;
}
public void setCandidates(List<Candidate> candidates) {
this.candidates = candidates;
}
public static class Candidate {
private Content content;
public Candidate() {}
public Candidate(Content content) {
this.content = content;
}
public Content getContent() {
return content;
}
public void setContent(Content content) {
this.content = content;
}
}
public static class Content {
private List<Part> parts;
public Content() { }
public Content(List<Part> parts) {
this.parts = parts;
}
public List<Part> getParts() {
return parts;
}
public void setParts(List<Part> parts) {
this.parts = parts;
}
}
public static class Part {
private String text;
public Part() { }
public Part(String text) {
this.text = text;
}
public String getText() {
return text;
}
public void setText(String text) {
this.text = text;
}
}
}

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package com.example.customersupportchatbot.service;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.http.HttpHeaders;
import org.springframework.http.MediaType;
import org.springframework.stereotype.Service;
import org.springframework.web.reactive.function.client.WebClient;
import org.springframework.web.reactive.function.client.WebClientResponseException;
import reactor.core.publisher.Mono;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
@Service
public class GeminiAIService {
private static final Logger log = LoggerFactory.getLogger(GeminiAIService.class);
private static final String fullPrompt = """
You are a helpful customer support chatbot.
Provide a concise and friendly response to this customer query:
%s
""";
private static final String fullPromptEnhanced = """
You are a helpful customer support chatbot.
Provide a response to this customer query:
%s
Also classify this query into exactly ONE of these categories:
- account
- billing
- technical
- general
Format your response as follows:
CATEGORY: [the category]
RESPONSE: [your helpful response]
""";
private final WebClient webClient;
private final String apiKey;
private final String apiUrl;
public GeminiAIService(@Value("${gemini.api.url}") String url, @Value("${gemini.api.key}") String apiKey) {
this.apiKey = apiKey;
this.apiUrl = url;
this.webClient = WebClient.builder()
.baseUrl(url + "?key={key}")
.defaultUriVariables(Map.of("key", apiKey))
.defaultHeader(HttpHeaders.CONTENT_TYPE, MediaType.APPLICATION_JSON_VALUE)
.build();
}
/**
* Generates a response using the Gemini API
*
* @param query The user's query
* @return The response from the model
*/
public Mono<String> generateResponse(String query) {
// Create the request body with proper structure
Map<String, Object> partObject = new HashMap<>();
partObject.put("text", fullPrompt.formatted(query));
Map<String, Object> contentObject = new HashMap<>();
contentObject.put("parts", List.of(partObject));
contentObject.put("role", "user");
Map<String, Object> requestBody = new HashMap<>();
requestBody.put("contents", List.of(contentObject));
// Debug: Print the request being sent
log.info("Sending request to Gemini API:");
log.info("URL: {}?key={}...", apiUrl, apiKey.substring(0, 5));
log.info("Request body: {}", requestBody);
// Make the API request with more detailed error handling
return webClient.post()
.bodyValue(requestBody)
.retrieve()
.bodyToMono(Map.class)
.map(response -> {
// Debug: Print response structure
log.info("Response received: {}", response);
// Extract the text from the response
if (response != null && response.containsKey("candidates")) {
List<Map<String, Object>> candidates = (List<Map<String, Object>>) response.get("candidates");
if (!candidates.isEmpty()) {
Map<String, Object> content = (Map<String, Object>) candidates.get(0).get("content");
List<Map<String, Object>> responseParts = (List<Map<String, Object>>) content.get("parts");
if (!responseParts.isEmpty()) {
return (String) responseParts.get(0).get("text");
}
}
}
return "I'm sorry, I couldn't process your request.";
})
.onErrorResume(WebClientResponseException.class, e -> {
// Handle HTTP error responses specifically
log.error("Error calling Gemini API: {} {}", e.getStatusCode(), e.getStatusText());
log.error("Response body: {}", e.getResponseBodyAsString());
// Return a more informative error message
if (e.getStatusCode().value() == 400) {
return Mono.just("I'm sorry, there was an error with the request format (400 Bad Request). Please ensure your API key is correct and try again.");
} else if (e.getStatusCode().value() == 401 || e.getStatusCode().value() == 403) {
return Mono.just("I'm sorry, there was an authentication error. Please check your API key.");
} else if (e.getStatusCode().value() == 429) {
return Mono.just("I'm sorry, we've hit the rate limit for the Gemini API. Please try again in a minute.");
} else {
return Mono.just("I'm sorry, there was an error calling the Gemini API: " + e.getStatusCode() + " " + e.getStatusText());
}
})
.onErrorResume(Exception.class, e -> {
// General error handling
log.error("Unexpected error calling Gemini API: {}", e.getMessage(), e);
return Mono.just("I'm sorry, there was an unexpected error processing your request: " + e.getMessage());
});
}
public Mono<Map<String, String>> generateResponseWithCategory(String query) {
// Create the request body with proper structure (same as before)
Map<String, Object> partObject = new HashMap<>();
partObject.put("text", fullPrompt.formatted(query));
Map<String, Object> contentObject = new HashMap<>();
contentObject.put("parts", List.of(partObject));
contentObject.put("role", "user");
Map<String, Object> requestBody = new HashMap<>();
requestBody.put("contents", List.of(contentObject));
// Make the API request (same as before)
return webClient.post()
.bodyValue(requestBody)
.retrieve()
.bodyToMono(Map.class)
.map(response -> {
// Extract the text from the response
String responseText = "";
if (response != null && response.containsKey("candidates")) {
List<Map<String, Object>> candidates = (List<Map<String, Object>>) response.get("candidates");
if (!candidates.isEmpty()) {
Map<String, Object> content = (Map<String, Object>) candidates.get(0).get("content");
List<Map<String, Object>> responseParts = (List<Map<String, Object>>) content.get("parts");
if (!responseParts.isEmpty()) {
responseText = (String) responseParts.get(0).get("text");
}
}
}
// Parse the category and response from the text
Map<String, String> result = new HashMap<>();
if (responseText.contains("CATEGORY:") && responseText.contains("RESPONSE:")) {
String category = responseText
.substring(responseText.indexOf("CATEGORY:") + 9, responseText.indexOf("RESPONSE:"))
.trim();
String chatResponse = responseText
.substring(responseText.indexOf("RESPONSE:") + 9)
.trim();
result.put("category", category);
result.put("response", chatResponse);
} else {
// Fallback if the format is not as expected
result.put("category", "general");
result.put("response", responseText);
}
return result;
})
.onErrorResume(e -> {
// Handle errors (same as before)
Map<String, String> errorResult = new HashMap<>();
errorResult.put("category", "error");
errorResult.put("response", "I'm sorry, there was an error processing your request: " + e.getMessage());
return Mono.just(errorResult);
});
}
}

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spring.application.name=customer-support-chatbot
server.port=8080
# Gemini API configuration
gemini.api.key=${GEMINI_API_KEY}
gemini.api.url=https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent
logging.level.org.springframework.web.reactive.function.client=DEBUG

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package com.example.customersupportchatbot;
import org.junit.jupiter.api.Test;
import org.springframework.boot.test.context.SpringBootTest;
@SpringBootTest
class CustomerSupportChatbotApplicationTests {
@Test
void contextLoads() {
}
}

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@@ -10,3 +10,4 @@ include 'SoftwareDevChatbot'
include 'RegressionPredictionLab'
include 'SentimentAnalysisLab'
include 'ImageRecognitionLab'
include 'CustomerSupportChatBot'