幂等 zuul的Filter实现

通过zuul的过滤器 filter实现

//app 幂等过滤
@SuppressWarnings("all")
@Order(Ordered.HIGHEST_PRECEDENCE)
@WebFilter(filterName = "ValidAppIdempotent", urlPatterns = {
        "/app/api/inbound/inboundEdit","/app/api/outbound/outboundEdit"
        ,"/app/api/inbound/inboundEdit_NonNote","/app/api/outbound/outboundEdit_NonNote"}
        )
public class ValidAppIdempotent extends OncePerRequestFilter {
    private static final Logger logger = LoggerFactory.getLogger(ValidToken.class);
    public final static String ERROR_REPEATSUBMIT = "Repeated submission";
 
    @Value("${appSign}")
    private String appSign;
    @Autowired
    protected StringRedisTemplate idempotentTemplate;
 
    @Override
    protected void doFilterInternal(HttpServletRequest request, HttpServletResponse response, FilterChain filterChain)
            throws ServletException, IOException {
        //获取 body 中post过来的数据
        String contentType = request.getContentType();
        if (StringUtils.isNotBlank(contentType) && contentType.indexOf(MediaType.APPLICATION_JSON.toString()) >= 0) {
            request = new BodyReaderHttpServletRequestWrapper(request);
        }
        String data = null;
        try {
            data = NetUtil.getBodyString(request);
        } catch (Exception e) {
            e.printStackTrace();
        }
        //获取 url 中的数据
        String sign = request.getParameter("sign");
        String signMD5 = MD5.getSign(data, appSign);
        if (Boolean.parseBoolean(idempotentTemplate.opsForValue().get(signMD5))) {
            throw new ErrorSignException(ERROR_REPEATSUBMIT);
        } else {
            idempotentTemplate.opsForValue().set(signMD5, "true", ComContants.IDEMPOTENT_EXTIME, TimeUnit.SECONDS);
        }
 
        filterChain.doFilter(request, response);
 
    }
}

测试：

@RequestMapping(value = "inboundEdit", method = RequestMethod.POST)
    public ApiResult<String> inboundEdit(@RequestBody ApiRequest<String> request) {
        ApiResult<String> r = new ApiResult<String>();
        return r;
    }