[]
用户可以向AI.QUERY函数传递指定参数,以从AI模型获取查询结果。
AI.QUERY(prompt1, [data1], [prompt2], [data2] ...)
AI.QUERY函数可以接受任意数量的提示和数据,这些内容将被整理成一个文本块,发送给AI模型进行处理。
该函数包含以下参数:
参数 | 描述 |
|---|---|
prompt1 | [必需] 用于描述任务或向AI模型提问的文本。每个prompt参数会按顺序与上下文合并,以形成完整的提示信息。 |
data1 | [可选] 为AI模型提供上下文或数据的表格引用,可以是单个单元格或一个区域。 |
prompt2, data2, … | [可选] 为AI模型提供更多上下文的额外文本和表格引用,数量不限;可以成对使用,也可以只指定prompt。 |
发送给AI模型的提示是通过连接所有prompt和data参数生成的。例如,使用公式=COPILOT("Classify", B1:B10, "into one of the following categories ", A1:A4)时,最终发送给AI模型的内容为:“Classify [B1:B10中的值] into the following categories [A1:A4中的值]”。
以下示例展示了如何向AI.QUERY函数传递多个prompt参数,以便AI能够根据提示对给定文本进行智能分析。
// 要使用此示例,请将以下依赖项添加到项目中:com.openai:openai-java:4.6.1
// 配置模型请求处理程序,并根据需要选择不同的大模型提供商。此处示例使用OpenAI GPT-4.1;使用时请替换为您的API密钥。
Workbook.setAIModelRequestHandler(new OpenAIModelRequestHandler("https://api.openai.com/v1", "sk-xxxx", "gpt-4.1"));
// DeepSeek模型。
// Workbook.setAIModelRequestHandler(new OpenAIModelRequestHandler("https://api.deepseek.com/v1", "sk-xxxx", "deepseek-chat"));
// 通义千问模型。
// Workbook.setAIModelRequestHandler(new OpenAIModelRequestHandler("https://dashscope.aliyuncs.com/compatible-mode/v1", "sk-xxxx", "qwen-plus"));
// 初始化工作簿并设置数据。
Workbook workbook = new Workbook();
IWorksheet sheet = workbook.getWorksheets().get(0);
sheet.getColumns().get(0).setColumnWidth(57);
sheet.getColumns().get(1).setColumnWidth(55);
sheet.getColumns().get(2).setColumnWidth(42);
sheet.getRange("A1:C1").合并();
sheet.getRange("A1").setValue("Example1: Customer Product Reviews and Classification");
sheet.getRange("A1").getFont().setBold(true);
sheet.getRange("A1").getFont().setSize(16);
sheet.getRange("A1").getFont().setColor(Color.GetWhite());
sheet.getRange("A1").getInterior().setColor(Color.FromArgb(90, 126, 158));
sheet.getRange("A1").setHorizontalAlignment(HorizontalAlignment.Center);
sheet.getRange("A1").setVerticalAlignment(VerticalAlignment.Center);
sheet.getRange("A1").setRowHeight(35);
sheet.getRange("A3").setValue("Formula:");
sheet.getRange("A3").getFont().setBold(true);
sheet.getRange("A3").getFont().setSize(11);
sheet.getRange("A3").getInterior().setColor(Color.FromArgb(217, 225, 242));
sheet.getRange("B3").setValue("=AI.QUERY(\"evaluate these reviews\", A6:A13, \"based on these categories\",B5:C5)");
sheet.getRange("B3").getFont().setItalic(true);
sheet.getRange("B3").getFont().setColor(Color.FromArgb(68, 114, 196));
sheet.getRange("A5:C5").setValue(new Object[][]{
{"Taco Truck Reviews", "Positive or negative", "Topics"}
});
sheet.getRange("A5:C5").getFont().setBold(true);
sheet.getRange("A5:C5").getInterior().setColor(Color.FromArgb(155, 194, 230));
sheet.getRange("A5:C5").setHorizontalAlignment(HorizontalAlignment.Center);
sheet.getRange("A6:A13").setValue(new Object[][]{
{"Great tacos with fresh ingredients! Definitely coming back for more."},
{"The service was slow, but the food was worth the wait."},
{"Not impressed. The tacos were bland and lacked flavor."},
{"Amazing variety of salsas and toppings. Loved it!"},
{"The truck was clean and the staff was friendly."},
{"Overpriced for the portion size. Won't be returning."},
{"The tortillas were soggy and the meat was dry."},
{"Best taco truck in town! Highly recommend the carne asada."}
});
// 定义AI公式;连接后的提示为:"Evaluate these reviews [A6:A13中的值], based on these categories [B5:C5中的值]"
sheet.getRange("B6").setFormula2("=AI.QUERY(\"evaluate these reviews\", A6:A13, \"based on these categories\",B5:C5)");
sheet.getRange("A6:C13").getFont().setSize(11);
sheet.getRange("A6:C13").setHorizontalAlignment(HorizontalAlignment.Center);
sheet.getRange("A6:C13").getBorders().setLineStyle(BorderLineStyle.Medium);
sheet.getRange("A6:C13").getBorders().setColor(Color.FromArgb(200, 200, 200));
// AI函数作为异步计算函数;您需要等待其计算完成。
workbook.calculate();
workbook.waitForCalculationToFinish();
// 将页面设置为打印单页。
sheet.getPageSetup().setFitToPagesTall(1);
sheet.getPageSetup().setFitToPagesWide(1);
sheet.getPageSetup().setIsPercentScale(false);
// 另存为PDF文件。
workbook.save("AIQueryDataAnalysis.pdf");/**
* 针对OpenAI API的IAIModelRequestHandler实现。
*/
public class OpenAIModelRequestHandler implements IAIModelRequestHandler {
private String _apiEndpoint;
private String _apiKey;
private String _model;
public OpenAIModelRequestHandler(String apiEndpoint, String apiKey, String model) {
if (apiEndpoint == null || apiEndpoint.trim().isEmpty())
throw new IllegalArgumentException("API端点不能为空。");
if (apiKey == null || apiKey.trim().isEmpty())
throw new IllegalArgumentException("API密钥不能为空。");
_apiEndpoint = apiEndpoint.replaceAll("/$", "");
_apiKey = apiKey;
_model = model;
}
@Override
public CompletableFuture<AIModelResponse> sendRequestAsync(AIModelRequest request) {
CompletableFuture<AIModelResponse> result = new CompletableFuture<>();
if (request == null) {
AIModelResponse modelResponse = new AIModelResponse();
modelResponse.setSuccess(false);
System.err.println("请求不能为空。");
result.complete(modelResponse);
return result;
}
OpenAIClientAsync openAIClient = OpenAIOkHttpClientAsync.builder()
.apiKey(_apiKey)
.baseUrl(_apiEndpoint)
.build();
ChatCompletionCreateParams.Builder builder = ChatCompletionCreateParams.builder();
for (AIMessage item : request.getMessages()) {
switch (item.getRole().toLowerCase()) {
case "system":
builder.addSystemMessage(item.getContent());
break;
case "user":
builder.addUserMessage(item.getContent());
break;
default:
throw new RuntimeException("未知的消息角色: " + item.getRole());
}
}
builder.model(_model);
ChatCompletionCreateParams params = builder.build();
CompletableFuture<ChatCompletion> chatCompletion = openAIClient.chat().completions().create(params);
chatCompletion.whenComplete((response, exception) -> {
try {
if (exception != null) {
AIModelResponse errorResponse = new AIModelResponse();
errorResponse.setSuccess(false);
System.err.println("发生错误: " + exception.getMessage());
result.complete(errorResponse);
} else {
if (response != null &&!response.choices().isEmpty()) {
StringBuilder contentBuilder = new StringBuilder();
for (ChatCompletion.Choice choice : response.choices()) {
choice.message();
if (choice.message().content().isPresent()) {
contentBuilder.append(choice.message().content().get());
}
}
AIModelResponse successResponse = new AIModelResponse();
successResponse.setSuccess(true);
successResponse.setContent(contentBuilder.toString());
result.complete(successResponse);
} else {
AIModelResponse noContentResponse = new AIModelResponse();
noContentResponse.setSuccess(false);
System.err.println("未从模型收到内容。");
result.complete(noContentResponse);
}
}
} finally {
try {
openAIClient.close();
} catch (Exception e) {
System.err.println("关闭OpenAI客户端时出错: " + e.getMessage());
}
}
});
return result;
}
}输出如下所示:

以下示例展示了如何使用AI.QUERY函数在电子表格中自动生成文本内容。
// 要使用此示例,请将以下依赖项添加到项目中:com.openai:openai-java:4.6.1
// 配置模型请求处理程序,并根据需要选择不同的大模型提供商。此处示例使用OpenAI GPT-4.1;使用时请替换为您的API密钥。
Workbook.setAIModelRequestHandler(new OpenAIModelRequestHandler("https://api.openai.com/v1", "sk-xxxx", "gpt-4.1"));
// DeepSeek模型。
// Workbook.setAIModelRequestHandler(new OpenAIModelRequestHandler("https://api.deepseek.com/v1", "sk-xxxx", "deepseek-chat"));
// 通义千问模型。
// Workbook.setAIModelRequestHandler(new OpenAIModelRequestHandler("https://dashscope.aliyuncs.com/compatible-mode/v1", "sk-xxxx", "qwen-plus"));
// 初始化工作簿并设置数据。
Workbook workbook = new Workbook();
IWorksheet sheet = workbook.getWorksheets().get(0);
sheet.getColumns().get(0).setColumnWidth(28);
sheet.getColumns().get(1).setColumnWidth(35);
sheet.getColumns().get(2).setColumnWidth(18);
sheet.getColumns().get(3).setColumnWidth(18);
sheet.getColumns().get(4).setColumnWidth(25);
sheet.getRange("A1:D1").合并();
sheet.getRange("A1").setValue("Example 2: Content Generation-Ice Cream Flavors");
sheet.getRange("A1").getFont().setBold(true);
sheet.getRange("A1").getFont().setSize(14);
sheet.getRange("A1").getFont().setColor(Color.GetWhite());
sheet.getRange("A1").getInterior().setColor(Color.FromArgb(90, 126, 158));
sheet.getRange("A1").setHorizontalAlignment(HorizontalAlignment.Center);
sheet.getRange("A1").setVerticalAlignment(VerticalAlignment.Center);
sheet.getRange("A1").setRowHeight(30);
// 定义AI公式以生成5种独特的冰淇淋口味。
String QueryFormula3 = "=AI.QUERY(\"Generate 5 unique ice cream flavors, arranged vertically\")";
sheet.getRange("A3").setValue("Query:");
sheet.getRange("A3").getFont().setBold(true);
sheet.getRange("A3").getFont().setSize(11);
sheet.getRange("A3").getInterior().setColor(Color.FromArgb(217, 227, 242));
sheet.getRange("B3:D3").合并();
sheet.getRange("B3").setValue(QueryFormula3);
sheet.getRange("B3").getFont().setItalic(true);
sheet.getRange("B3").getFont().setColor(Color.FromArgb(68, 114, 196));
sheet.getRange("A5").setValue("Generated Flavors:");
sheet.getRange("A5").getFont().setBold(true);
sheet.getRange("A5").getFont().setSize(11);
sheet.getRange("A5").getInterior().setColor(Color.FromArgb(155, 194, 230));
sheet.getRange("B5").setFormula2(QueryFormula3);
sheet.getRange("B5:B5").getFont().setItalic(true);
// AI函数作为异步计算函数;您需要等待其计算完成。
workbook.calculate();
workbook.waitForCalculationToFinish();
// 将页面设置为打印单页。
sheet.getPageSetup().setFitToPagesTall(1);
sheet.getPageSetup().setFitToPagesWide(1);
sheet.getPageSetup().setIsPercentScale(false);
// 另存为PDF文件。
workbook.save("AIQueryTextGeneration.pdf");输出如下所示:
