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package org.dynamoframework.autofill;

/*-
 * #%L
 * Dynamo Framework
 * %%
 * Copyright (C) 2014 - 2024 Open Circle Solutions
 * %%
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * #L%
 */

import com.fasterxml.jackson.databind.ObjectMapper;
import jakarta.annotation.PostConstruct;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.dynamoframework.configuration.DynamoProperties;
import org.springframework.ai.bedrock.anthropic.AnthropicChatOptions;
import org.springframework.ai.bedrock.anthropic.BedrockAnthropicChatClient;
import org.springframework.ai.bedrock.anthropic.api.AnthropicChatBedrockApi;
import org.springframework.ai.chat.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.stereotype.Service;
import software.amazon.awssdk.auth.credentials.AwsBasicCredentials;
import software.amazon.awssdk.auth.credentials.StaticCredentialsProvider;

import java.util.List;
import java.util.Map;

@Service
@RequiredArgsConstructor
@Slf4j
@ConditionalOnProperty(value = "dynamoframework.bedrock.enabled", havingValue = "true")
public class BedrockService implements AIService {

	@Autowired
	private DynamoProperties dynamoProperties;

	private BedrockAnthropicChatClient client;

	@PostConstruct
	public void init() {
		AnthropicChatBedrockApi api = new AnthropicChatBedrockApi(dynamoProperties.getBedrock().getModelId(),
			StaticCredentialsProvider.create(AwsBasicCredentials.create(dynamoProperties.getBedrock().getAccessKey(), dynamoProperties.getBedrock().getAccessSecret())), dynamoProperties.getBedrock().getRegion(), new ObjectMapper());
		this.client = new BedrockAnthropicChatClient(api,
			AnthropicChatOptions.builder()
				.withAnthropicVersion(AnthropicChatBedrockApi.DEFAULT_ANTHROPIC_VERSION)
				.withTemperature(1.0f)
				.withTopK(250)
				.withTopP(0.999f)
				.withMaxTokensToSample(2048)
				.build());
	}

	@Override
	public boolean supports(AIServiceType type) {
		return AIServiceType.BEDROCK.equals(type);
	}

	@Override
	public String execute(String input, Map objectMap, Map typesMap, Map componentInstructions, List contextInstructions) {
		StringBuilder request = new StringBuilder(String.format(
			"Based on the user input: \n \"%s\", " +
				"generate a JSON object according to these instructions: " +
				"Never include duplicate keys, in case of duplicate keys just keep the first occurrence in the response. " +
				"Fill out \"N/A\" in the JSON value if the user did not specify a value. " +
				"Return only a valid JSON object in this format: '%s'."
			, input, objectMap));
		appendInstructions(request, typesMap, componentInstructions, contextInstructions);

		log.debug("AI request: {}", request);

		ChatResponse call = client.call(new Prompt(request.toString()));
		return call.getResult().getOutput().getContent();
	}
}




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