在调合合AI平台提供的图片美化增强API接口，API平台链接：https://ai.ccint.com/doc/api/crop_enhance_image， 因为有遇到一些问题，写篇博客记录一下
API文档提供的说明: url中参数app_key为个人中心实例的app_key
请求方式: POST
返回类型: JSON
POST BODY请求字段描述
| 字段 | 说明 |
|---|---|
| image_data | 必填，图像的base64串 |
| app_secret | 必填，个人中心实例的app_secret |
| scan-m | 扫描模式， 建议为 1 |
| detail | 锐化程度，建议为-1 |
| contrast | 对比度 ，建议为 0 |
| bright | 增亮 ，建议为 0 |
| enhanceMode | 增强模式，1：增亮，2：增强并锐化，3：黑白，4：灰度 |
POST BODY，接口要求以Post body方式发送，因为要传base64字符串，请求参数过长有400错误的
{
"image_data": "", // 必填，图像的base64串
"app_secret": "" // 必填，个人中心实例的app_secret
"scan-m": 1, //扫描模式， 建议为 1
"detail": -1, //锐化程度，建议为-1
"contrast": 0, //对比度 ，建议为 0
"bright": 0, //增亮 ，建议为 0
"enhanceMode": 0 //增强模式，1：增亮，2：增强并锐化，3：黑白，4：灰度
}
提示：POST BODY 为 JSON字符串。
返回字段描述
| 字段 | 说明 |
|---|---|
| code | 返回状态码。200:正常返回; 500:服务器内部错误 |
| message | 返回对应code的状态说明 |
| result | base64编码的图片信息 |
正常返回示例
{
"code": 200,
"message": "success",
"result": “图片base64信息”
}
失败返回示例
{
"code":30301,
"message":"额度已用完，请充值后使用"
}
返回码说明
在这里插入图片描述
API文档提供的实例代码：
import sun.misc.BASE64Encoder;
import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLConnection;
public class Main {
public static void main(String[] args) throws Exception {
String url = "https://ocr-api.ccint.com/ocr_service?app_key=%s";
String appKey = "xxxxxx"; // your app_key
String appSecret = "xxxxxx"; // your app_secret
url = String.format(url, appKey);
OutputStreamWriter out = null;
BufferedReader in = null;
String result = "";
try {
String imgData = imageToBase64("example.jpg");
String param="{\"app_secret\":\"%s\",\"image_data\":\"%s\"}";
param=String.format(param,appSecret,imgData);
URL realUrl = new URL(url);
HttpURLConnection conn = (HttpURLConnection) realUrl.openConnection();
conn.setRequestProperty("accept", "*/*");
conn.setRequestProperty("connection", "Keep-Alive");
conn.setRequestProperty("user-agent", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1;SV1)");
conn.setDoOutput(true);
conn.setDoInput(true);
conn.setRequestMethod("POST"); // 设置请求方式
conn.setRequestProperty("Content-Type", "application/json"); // 设置发送数据的
conn.connect();
out = new OutputStreamWriter(conn.getOutputStream(), "UTF-8");
out.append(param);
out.flush();
out.close();
in = new BufferedReader(new InputStreamReader(conn.getInputStream()));
String line;
while ((line = in.readLine()) != null) {
result += line;
}
} catch (Exception e) {
System.out.println("发送 POST 请求出现异常！" + e);
e.printStackTrace();
}
finally {
try {
if (out != null) {
out.close();
}
if (in != null) {
in.close();
}
} catch (IOException ex) {
ex.printStackTrace();
}
}
System.out.println(result);
}
public static String imageToBase64(String path)
{
String imgFile = path;
InputStream in = null;
byte[] data = null;
try
{
in = new FileInputStream(imgFile);
data = new byte[in.available()];
in.read(data);
in.close();
}
catch (IOException e)
{
e.printStackTrace();
}
BASE64Encoder encoder = new BASE64Encoder();
return encoder.encode(data);
}
}
注意要点：
- 写文件流时记得outputstream要flush，才能拿到数据
- 接口返回的json格式的数据，同时带有base64的字符串，所以需要json解析一下，然后调工具类，将base64字符串转换为文件，保存在本地，下面给出调用的代码，仅供参考
/**
* 图片切边增强接口调用
* @author nicky.ma
* @date 2019年5月20日下午3:44:27
* @param scanM 扫描模式， 建议为 1
* @param bright 增亮 ，建议为 0
* @param contrast 对比度 ，建议为 0
* @param detail 锐化程度，建议为-1
* @param sourcePath
* @param destPath
* detail=0&contrast=0&bright=50 增到最亮
* @return
*/
public static void ccintCropEnhanceHttpService(final int scanM,final int bright,final int contrast,
final int detail,final int enhanceMode,String sourcePath,String destPath) throws Exception{
logger.info("sourcePath:{}"+sourcePath);
logger.info("destPath:{}"+destPath);
//base64转换
final String imgData = imageToBase64(sourcePath);
Map<String,Object> paramsMap=new HashMap<String,Object>(){
private static final long serialVersionUID=1L;
{
put("image_data",imgData);
put("app_secret",CCINT_APP_SECRET);
put("scan-m",scanM);
put("detail",detail);
put("contrast",contrast);
put("bright",bright);
put("enhanceMode",enhanceMode);
}};
String param = JSON.toJSONString(paramsMap);
// String param="{\"app_secret\":\"%s\",\"image_data\":\"%s\",\"scan-m\":\"%s\",\"detail\":\"%s\",\"contrast\":\"%s\",\"bright\":\"%s\",\"enhanceMode\":\"%s\"}";
// param=String.format(param,CCINT_APP_SECRET,imgData,scanM,detail,contrast,bright,enhanceMode);
String url = CCINT_CROP_ENHANCE_URL+"?app_key="+CCINT_APP_KEY;
OutputStreamWriter out = null;
BufferedReader in = null;
String result = "";
try {
URL realUrl = new URL(url);
HttpURLConnection conn = (HttpURLConnection) realUrl.openConnection();
conn.setConnectTimeout(20*1000);
conn.setReadTimeout(20*1000);
conn.setRequestProperty("accept", "*/*");
conn.setRequestProperty("connection", "Keep-Alive");
conn.setRequestProperty("user-agent", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1;SV1)");
conn.setDoOutput(true);
conn.setDoInput(true);
conn.setRequestMethod("POST"); // 设置请求方式
//conn.setRequestProperty("transfer-encoding","chunked");
conn.setRequestProperty("Content-Type", "application/json"); // 设置发送数据的
conn.connect();
out = new OutputStreamWriter(conn.getOutputStream(), "UTF-8");
out.append(param);
//要记得flush,才能拿到数据
out.flush();
out.close();
in = new BufferedReader(new InputStreamReader(conn.getInputStream()));
String line;
while ((line = in.readLine()) != null) {
result += line;
}
logger.info("返回Result:{}"+result);
int code=conn.getResponseCode();
if(code==200){
JSONObject obj = JSON.parseObject(result);
// copyFileByInputStream(conn.getInputStream(),destPath);
FileBase64Util.decoderBase64File(obj.getString("result"), destPath);
logger.info("图片增强后文件大小:{}"+new File(destPath).length()/1024+"KB");
}
conn.disconnect();
} catch (Exception e) {
logger.error("AI平台接口调用异常:{}"+e);
e.printStackTrace();
}finally {
try {
if (out != null) {
out.close();
}
if (in != null) {
in.close();
}
} catch (IOException ex) {
ex.printStackTrace();
}
}
}
private static String imageToBase64(String path)
{
String imgFile = path;
InputStream in = null;
byte[] data = null;
try
{
in = new FileInputStream(imgFile);
data = new byte[in.available()];
in.read(data);
in.close();
}
catch (IOException e)
{
e.printStackTrace();
}
BASE64Encoder encoder = new BASE64Encoder();
return encoder.encode(data);
}
base64字符串和文件转换工具类：
import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import org.apache.commons.codec.binary.Base64;
public class FileBase64Util{
/**
* 将文件转成base64 字符串
* @param path文件路径
* @return
* @throws Exception
*/
public static String encodeBase64File(String path) throws Exception {
File file = new File(path);
FileInputStream inputFile = new FileInputStream(file);
byte[] buffer = new byte[(int) file.length()];
inputFile.read(buffer);
inputFile.close();
return Base64.encodeBase64String(buffer);
}
/**
* 将base64字符解码保存文件
* @param base64String
* @param targetPath
* @throws Exception
*/
public static void decoderBase64File(String base64String, String targetPath)throws Exception {
byte[] buffer=Base64.decodeBase64(base64String);
FileOutputStream out = new FileOutputStream(targetPath);
out.write(buffer);
out.close();
}
/**
* 将base64字符保存文本文件
* @param base64Code
* @param targetPath
* @throws Exception
*/
public static void toFile(String base64Code, String targetPath)throws Exception {
byte[] buffer=base64Code.getBytes();
FileOutputStream out = new FileOutputStream(targetPath);
out.write(buffer);
out.close();
}
public static void main(String[] args){
try{
String base64String=${base64字符串};
decoderBase64File(encodeBase64File("d://2018-11-27 14_34_28_reject_dq.pdf"),"D:/2.pdf");
}catch(Exception e){
e.printStackTrace();
}
}
}
