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這期內(nèi)容當(dāng)中小編將會(huì)給大家?guī)?lái)有關(guān)使用Django怎么對(duì)gzip數(shù)據(jù)流進(jìn)行處理,文章內(nèi)容豐富且以專(zhuān)業(yè)的角度為大家分析和敘述,閱讀完這篇文章希望大家可以有所收獲。
class XXDataPushView(APIView): """ 接收xx數(shù)據(jù)推送 """ # ... @white_list_required def post(self, request, **kwargs): req_data = request.data or {} # ...
但隨后,發(fā)現(xiàn)每日數(shù)據(jù)并沒(méi)有任何變化,質(zhì)問(wèn)供應(yīng)商是否沒(méi)有做推送,在忽悠我們。然后對(duì)方給的答復(fù)是,他們推送的是gzip
壓縮的數(shù)據(jù)流,接收端需要主動(dòng)進(jìn)行解壓。此前從沒(méi)有處理過(guò)這種壓縮的數(shù)據(jù),對(duì)方具體如何做的推送對(duì)我來(lái)說(shuō)也是一個(gè)黑盒。
因此,我要求對(duì)方給一個(gè)推送的簡(jiǎn)單示例,沒(méi)想到對(duì)方不講武德,仍過(guò)來(lái)一段沒(méi)法單獨(dú)運(yùn)行的java代碼:
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 (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(); } } }); }
從上述代碼可以看出,對(duì)方將json
數(shù)據(jù)壓縮為了gzip
數(shù)據(jù)流stream
。于是搜索django
的文檔,只有這段關(guān)于gzip
處理的裝飾器描述:
django.views.decorators.gzip
里的裝飾器控制基于每個(gè)視圖的內(nèi)容壓縮。
gzip_page()
如果瀏覽器允許 gzip 壓縮,那么這個(gè)裝飾器將壓縮內(nèi)容。它相應(yīng)的設(shè)置了 Vary 頭部,這樣緩存將基于 Accept-Encoding 頭進(jìn)行存儲(chǔ)。
但是,這個(gè)裝飾器只是壓縮請(qǐng)求響應(yīng)至瀏覽器的內(nèi)容,我們目前的需求是解壓縮接收的數(shù)據(jù)。這不是我們想要的。
幸運(yùn)的是,在flask
中有一個(gè)擴(kuò)展叫flask-inflate
,安裝了此擴(kuò)展會(huì)自動(dòng)對(duì)請(qǐng)求來(lái)的數(shù)據(jù)做解壓操作。查看該擴(kuò)展的具體代碼處理:
# flask_inflate.py import gzip from flask import request GZIP_CONTENT_ENCODING = 'gzip' class Inflate(object): def __init__(self, app=None): if app is not None: self.init_app(app) @staticmethod def init_app(app): app.before_request(_inflate_gzipped_content) def inflate(func): """ A decorator to inflate content of a single view function """ def wrapper(*args, **kwargs): _inflate_gzipped_content() return func(*args, **kwargs) return wrapper def _inflate_gzipped_content(): content_encoding = getattr(request, 'content_encoding', None) if content_encoding != GZIP_CONTENT_ENCODING: return # We don't want to read the whole stream at this point. # Setting request.environ['wsgi.input'] to the gzipped stream is also not an option because # when the request is not chunked, flask's get_data will return a limited stream containing the gzip stream # and will limit the gzip stream to the compressed length. This is not good, as we want to read the # uncompressed stream, which is obviously longer. request.stream = gzip.GzipFile(fileobj=request.stream)
上述代碼的核心是:
request.stream = gzip.GzipFile(fileobj=request.stream)
于是,在django
中可以如下處理:
class XXDataPushView(APIView): """ 接收xx數(shù)據(jù)推送 """ # ... @white_list_required def post(self, request, **kwargs): content_encoding = request.META.get("HTTP_CONTENT_ENCODING", "") if content_encoding != "gzip": req_data = request.data or {} else: gzip_f = gzip.GzipFile(fileobj=request.stream) data = gzip_f.read().decode(encoding="utf-8") req_data = json.loads(data) # ... handle req_data
ok, 問(wèn)題完美解決。還可以用如下方式測(cè)試請(qǐng)求:
import gzip import requests import json data = {} data = json.dumps(data).encode("utf-8") data = gzip.compress(data) resp = requests.post("http://localhost:8760/push_data/",data=data,headers={"Content-Encoding": "gzip", "Content-Type":"application/json;charset=utf-8"}) print(resp.json())
上述就是小編為大家分享的使用Django怎么對(duì)gzip數(shù)據(jù)流進(jìn)行處理了,如果剛好有類(lèi)似的疑惑,不妨參照上述分析進(jìn)行理解。如果想知道更多相關(guān)知識(shí),歡迎關(guān)注億速云行業(yè)資訊頻道。
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