// 导入必要的模块
const { ElasticSearchClient } = require('@nlpjs/core');
const { ElasticSearchTransport } = require('@nlpjs/elastic-search');
const { AzureFunction, Context } = require('azure-functions-runner');
 
// 创建 Azure Function
const index: AzureFunction = async function (context: Context, myTimer: any): Promise<void> {
    const timeStamp = new Date().toISOString();
 
    if (myTimer.isPastDue) {
        context.log('Function is running late!');
    }
    context.log(`Starting Elasticsearch index update function at ${timeStamp}`);
 
    try {
        // 初始化 Elasticsearch 客户端
        const settings = {
            host: process.env.ELASTICSEARCH_HOST,
            port: process.env.ELASTICSEARCH_PORT,
            index: process.env.ELASTICSEARCH_INDEX
        };
        const client = new ElasticSearchClient(new ElasticSearchTransport(settings));
 
        // 更新索引的逻辑
        const indexUpdated = await client.updateIndex();
        if (indexUpdated) {
            context.log('Elasticsearch index updated successfully');
        } else {
            context.log('Elasticsearch index update failed');
        }
    } catch (error) {
        context.log('Error updating Elasticsearch index:', error);
    }
    context.done();
};
 
module.exports = index;这段代码演示了如何在 Azure Function App 中使用 Node.js 定时更新 Elasticsearch 索引。它首先检查是否函数运行迟了,然后记录开始执行的时间戳。接着,它尝试使用环境变量中的配置初始化 Elasticsearch 客户端,并调用 updateIndex 方法来更新索引。如果更新成功,它会记录成功的日志信息,如果失败,则会记录错误信息,并结束函数执行。