content: /*
   *  Copyright (c) 2023-2025, Agents-Flex (fuhai999@gmail.com).
   *  <p>
   *  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
   *  <p>
   *  http://www.apache.org/licenses/LICENSE-2.0
   *  <p>
   *  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.
   */
  package com.agentsflex.llm.ollama;
  
  import com.agentsflex.core.llm.ChatOptions;
  import com.agentsflex.core.message.*;
  import com.agentsflex.core.parser.AiMessageParser;
  import com.agentsflex.core.parser.impl.DefaultAiMessageParser;
  import com.agentsflex.core.prompt.DefaultPromptFormat;
  import com.agentsflex.core.prompt.ImagePrompt;
  import com.agentsflex.core.prompt.Prompt;
  import com.agentsflex.core.prompt.PromptFormat;
  import com.agentsflex.core.util.Maps;
  import com.agentsflex.core.util.MessageUtil;
  import com.alibaba.fastjson.JSON;
  import com.alibaba.fastjson.JSONArray;
  import com.alibaba.fastjson.JSONObject;
  import com.alibaba.fastjson.JSONPath;
  
  import java.util.*;
  
  public class OllamaLlmUtil {
  
  
      private static final PromptFormat promptFormat = new DefaultPromptFormat() {
          @Override
          protected void buildMessageContent(Message message, Map<String, Object> map) {
              if (message instanceof HumanImageMessage) {
                  ImagePrompt prompt = ((HumanImageMessage) message).getPrompt();
                  map.put("content", prompt.getContent());
                  map.put("images", prompt.buildAllToBase64s());
              } else {
                  super.buildMessageContent(message, map);
              }
          }
  
          @Override
          protected Object buildToolCallsArguments(Map<String, Object> arguments) {
              return arguments;
          }
      };
  
  
      public static AiMessageParser getAiMessageParser() {
          DefaultAiMessageParser aiMessageParser = new DefaultAiMessageParser();
          aiMessageParser.setContentPath("$.message.content");
          aiMessageParser.setTotalTokensPath("$.eval_count");
          aiMessageParser.setCompletionTokensPath("$.prompt_eval_count");
  
          aiMessageParser.setStatusParser(content -> {
              Boolean done = (Boolean) JSONPath.eval(content, "$.done");
              if (done != null && done) {
                  return MessageStatus.END;
              }
              return MessageStatus.MIDDLE;
          });
  
          aiMessageParser.setCallsParser(content -> {
              JSONArray toolCalls = (JSONArray) JSONPath.eval(content, "$.message.tool_calls");
              if (toolCalls == null || toolCalls.isEmpty()) {
                  return Collections.emptyList();
              }
              List<FunctionCall> functionCalls = new ArrayList<>();
              for (int i = 0; i < toolCalls.size(); i++) {
                  JSONObject jsonObject = toolCalls.getJSONObject(i);
                  JSONObject functionObject = jsonObject.getJSONObject("function");
                  if (functionObject != null) {
                      FunctionCall functionCall = new FunctionCall();
                      functionCall.setId(jsonObject.getString("id"));
                      functionCall.setName(functionObject.getString("name"));
                      Object arguments = functionObject.get("arguments");
                      if (arguments instanceof Map) {
                          //noinspection unchecked
                          functionCall.setArgs((Map<String, Object>) arguments);
                      } else if (arguments instanceof String) {
                          //noinspection unchecked
                          functionCall.setArgs(JSON.parseObject(arguments.toString(), Map.class));
                      }
                      functionCalls.add(functionCall);
                  }
              }
              return functionCalls;
          });
          return aiMessageParser;
      }
  
  
      public static String promptToPayload(Prompt prompt, OllamaLlmConfig config, ChatOptions options, boolean stream) {
          List<Message> messages = prompt.toMessages();
          HumanMessage message = MessageUtil.findLastHumanMessage(messages);
          return Maps.of("model", Optional.ofNullable(options.getModel()).orElse(config.getModel()))
              .set("messages", promptFormat.toMessagesJsonObject(messages))
              .set("think", Optional.ofNullable(options.getEnableThinking()).orElse(config.getEnableThinking()))
              .setIf(!stream, "stream", stream)
              .setIfNotEmpty("tools", promptFormat.toFunctionsJsonObject(message))
              .setIfNotEmpty("options.seed", options.getSeed())
              .setIfNotEmpty("options.top_k", options.getTopK())
              .setIfNotEmpty("options.top_p", options.getTopP())
              .setIfNotEmpty("options.temperature", options.getTemperature())
              .setIfNotEmpty("options.stop", options.getStop())
              .setIfNotEmpty(options.getExtra())
              .toJSON();
      }
  
  }
  