MeiyappanKannappa

public Mono<Void> handle(WebSocketSession session) {
        UriComponentsBuilder builder = UriComponentsBuilder.fromUri(session.getHandshakeInfo().getUri());
        Map<String,String> queryParams = builder.build().getQueryParams().toSingleValueMap();
        String uniqueId = queryParams.get("email");

        log.info("Websocket connected for id "+uniqueId);

        sink.asFlux().subscribe(new WebSocketSessionDataPublisher(uniqueId, session));

        Flux<WebSocketMessage> messageFlux = session.receive().share();

MeiyappanKannappa

@Configuration
@EnableWebFlux
@Slf4j
public class SimpleWebSocketHandler implements WebSocketHandler {

    @Autowired
    Sinks.Many<Object> sink;

    @Bean
    public SimpleUrlHandlerMapping simpleUrlHandlerMapping() {

MeiyappanKannappa

@Configuration
@EnableWebFlux
@Slf4j
public class SimpleWebSocketHandler implements WebSocketHandler {

    @Bean
    public SimpleUrlHandlerMapping simpleUrlHandlerMapping() {
        Map<String, WebSocketHandler> urlMap = new HashMap<>();
        urlMap.put("/ws", this::handle);

MeiyappanKannappa

agent = initialize_agent(
    toolkit.get_tools(), llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION
)
agent.run(f"Comment on Issue \nAction Input:{issue_number}\n{issue_title}\n{issue_content}\n{generated_comment}")

MeiyappanKannappa

import os
from langchain.agents import AgentType
from langchain.agents import initialize_agent
from langchain.agents.agent_toolkits.github.toolkit import GitHubToolkit
from langchain.llms import Ollama
from langchain.utilities.github import GitHubAPIWrapper
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain

# Set your environment variables using os.environ

MeiyappanKannappa

# Step 1: Get user input
user_input = "red"

# Step 2: Define the Prompt Template
prompt = PromptTemplate(
    input_variables=["color"],
    template="Define {color} for cakes and pastries?",
)

# Step 3: Print the Prompt Template

MeiyappanKannappa

# Step 1: Get user input
user_input = "red"

# Step 2: Define the Prompt Template
prompt = PromptTemplate(
    input_variables=["color"],
    template="Define {color} with a real-world example?",
)

# Step 3: Print the Prompt Template

MeiyappanKannappa

	implementation 'edu.stanford.nlp:stanford-corenlp:4.5.2'
	implementation "edu.stanford.nlp:stanford-corenlp:4.5.2:models"
	implementation "edu.stanford.nlp:stanford-corenlp:4.5.2:models-english"
	implementation "edu.stanford.nlp:stanford-corenlp:4.5.2:models-english-kbp"

MeiyappanKannappa

import com.launchdarkly.logging.*;
import com.launchdarkly.sdk.*;
import com.launchdarkly.sdk.server.*;

import java.io.IOException;
public class LDExample {



            // Set SDK_KEY to your LaunchDarkly SDK key.

MeiyappanKannappa

 LDUser jsonuser = new LDUser.Builder("admin-user-key")
                        .name("adminuser")
                        .build();

LDValue jsonValue = client.jsonValueVariation("sample-feature-json", jsonuser, null);
System.out.println("Feature flag '" + "sample-feature-json" + "' is " + jsonValue + " for this user");