最近在工作中遇到一个需求，就是要开一个接口来接收供应商推送的数据。项目采用的python的django框架，我是想也没想，就直接一梭哈，写出了如下代码：
class XXDataPushView(APIView):
"""
接收xx数据推送
"""
# ...
@white_list_required
def post(self, request, **kwargs):
req_data = request.data or {}
# ...
但随后，发现每日数据并没有任何变化，质问供应商是否没有做推送，在忽悠我们。然后对方给的答复是，他们推送的是gzip压缩的数据流，接收端需要主动进行解压。此前从没有处理过这种压缩的数据，对方具体如何做的推送对我来说也是一个黑盒。
因此，我要求对方给一个推送的简单示例，没想到对方不讲武德，仍过来一段没法单独运行的java代码：
private byte[] compress(JSONObject body) {
try {
ByteArrayOutputStream out = new ByteArrayOutputStream();
GZIPOutputStream gzip = new GZIPOutputStream(out);
gzip.write(body.toString().getBytes());
gzip.close();
return out.toByteArray();
} catch (Exception e) {
logger.error("Compress data failed with error: " + e.getMessage()).commit();
}
return JSON.toJSONString(body).getBytes();
}
public void post(JSONObject body, String url, FutureCallback<HttpResponse> callback) {
RequestBuilder requestBuilder = RequestBuilder.post(url);
requestBuilder.addHeader("Content-Type", "application/json; charset=UTF-8");
requestBuilder.addHeader("Content-Encoding", "gzip");
byte[] compressData = compress(body);
int timeout = (int) Math.max(((float)compressData.length) / 5000000, 5000);
RequestConfig.Builder requestConfigBuilder = RequestConfig.custom();
requestConfigBuilder.setSocketTimeout(timeout).setConnectTimeout(timeout);
requestBuilder.setEntity(new ByteArrayEntity(compressData));
requestBuilder.setConfig(requestConfigBuilder.build());
excuteRequest(requestBuilder, callback);
}
private void excuteRequest(RequestBuilder requestBuilder, FutureCallback<HttpResponse> callback) {
HttpUriRequest request = requestBuilder.build();
httpClient.execute(request, new FutureCallback<HttpResponse>() {
@Override
public void completed(HttpResponse httpResponse) {
try {
int responseCode = httpResponse.getStatusLine().getStatusCode();
if (callback != null) {
if (responseCode == 200) {
callback.completed(httpResponse);
} else {
callback.failed(new Exception("Status code is not 200"));
}
}
} catch (Exception e) {
logger.error("Get error on " + requestBuilder.getMethod() + " " + requestBuilder.getUri() + ": " + e.getMessage()).commit();
if <i style="color:transparent">本文来源gaodai$ma#com搞$代*码6网</i>(callback != null) {
callback.failed(e);
}
}
EntityUtils.consumeQuietly(httpResponse.getEntity());
}
@Override
public void failed(Exception e) {
logger.error("Get error on " + requestBuilder.getMethod() + " " + requestBuilder.getUri() + ": " + e.getMessage()).commit();
if (callback != null) {
callback.failed(e);
}
}
@Override
public void cancelled() {
logger.error("Request cancelled on " + requestBuilder.getMethod() + " " + requestBuilder.getUri()).commit();
if (callback != null) {
callback.cancelled();
}
}
});
}
从上述代码可以看出，对方将json数据压缩为了gzip数据流stream。于是搜索django的文档，只有这段关于gzip处理的装饰器描述:
django.views.decorators.gzip里的装饰器控制基于每个视图的内容压缩。
- gzip_page()
搞代码网（gaodaima.com）提供的所有资源部分来自互联网，如果有侵犯您的版权或其他权益，请说明详细缘由并提供版权或权益证明然后发送到邮箱[email protected]，我们会在看到邮件的第一时间内为您处理，或直接联系QQ：872152909。本网站采用BY-NC-SA协议进行授权
转载请注明原文链接：如何用Django处理gzip数据流
