1.先在群里添加机器人，然后获取机器人的webhook地址：
假设webhook是：https://qyapi./cgi-bin/webhook/send?key=693a91f6-7xxx-4bc4-97a0-0ec2sifa5aaa
2.有多种方式发送群消息，可以采用curl，也可以采用发送https请求的方式，我这里采用okhttp发送http请求，pom如下：
<!-- /artifact/com.squareup.okhttp3/okhttp --><dependency><groupId>com.squareup.okhttp3</groupId><artifactId>okhttp</artifactId><version>4.9.0</version></dependency>
调用okhttp核心代码如下：
/***@content：要发送的消息*WECHAT_GROUP：机器人的webhook*/public static String callWeChatBot(String content) {OkHttpClient client = new OkHttpClient().newBuilder().build();MediaType mediaType = MediaType.parse("application/json");RequestBody body = RequestBody.create(content,mediaType);Request request = new Request.Builder().url(WECHAT_GROUP).method("POST", body).addHeader("Content-Type", "application/json").build();Response response = null;try {response = client.newCall(request).execute();} catch (IOException e) {e.printStackTrace();}return response.message();}
3.生成核心方法的参数，如果发送markdown格式的消息：
public static String generalBotBodyInfo(File f1, File f2, String cusenv, String myenv) {String content = "**信息摘要：** \n" +">文件1：<font color=\\\"info\\\">" + f1.getName() + "</font>\n " +">服务器路径：<font color=\\\"info\\\">" + f1.getAbsolutePath() + "</font>\n" +">文件传输环境：<font color=\\\"info\\\">" + myenv + "</font>\n " +">客户接受环境：<font color=\\\"info\\\">" + cusenv + "</font>\n" +">时间：<font color=\\\"info\\\">" + new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date()) + "</font>";String textTemplate = "{\n" +" \"msgtype\": \"markdown\",\n" +" \"markdown\": {\n" +" \"content\": \"" + content + "\",\n" +" }\n" +"}";return textTemplate;}
如果发送text格式的消息：
public static String generalBotBodyAT() {String textTemplate = "{\n" +" \"msgtype\": \"text\",\n" +" \"text\": {\n" +" \"content\": \"今天下午大暴雨\",\n" +" \"mentioned_list\":[\"@all\"],\n" +" }\n" +"}";return textTemplate;}
如果发送图片，不能超过2M，支持的格式为JPG,PNG格式:
public static String generalBotBodyImage() {String base64 = "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";String md5 = "862715fb36992d6746641ff02ee85b8c";String textTemplate = "{\n" +" \"msgtype\": \"image\",\n" +" \"image\": {\n" +" \"base64\": \"" + base64 + "\",\n" +" \"md5\": \"" + md5 + "\"\n" +" }\n" +"}";return textTemplate;}
发送图片需要对图片进行base64编码并计算图片的md5值，把计算的方法也一并献上，需要注意图片不要过大，不然base64编码的结果会超级长，甚至超过String的最大长度，java.util.Base64这个工具类有现成的，直接用就行
public static String getFileBase64(String path){try {FileInputStream inputStream = new FileInputStream(new File(path));byte [] bs = new byte[inputStream.available()];inputStream.read(bs);return Base64.getEncoder().encodeToString(bs);} catch (FileNotFoundException e) {e.printStackTrace();}catch (IOException e){e.printStackTrace();}return null;}
计算md5值方法多种多样，如果你发送的图片是固定的，建议算好后直接用常量保存就行，比如我发送的是个表情包，就提前算好了。如果你是windows系统可以用好压之类的工具直接查看文件的md5，如果你是mac os系统，可以这样：
如果图片是动态的，可以用java现成的工具类直接计算它的md5，pom如下：
<!-- /artifact/commons-codec/commons-codec --><dependency><groupId>commons-codec</groupId><artifactId>commons-codec</artifactId><version>1.10</version></dependency>
代码：
public static String getFileMD5(String path) {try {FileInputStream inputStream = new FileInputStream(new File(path));byte[] buf = new byte[inputStream.available()];inputStream.read(buf);return DigestUtils.md5Hex(buf);} catch (IOException e) {e.printStackTrace();}return null;}
以上。
