Question

我正在尝试使用＆＃39; twitter＆＃39;上传和发布视频媒体到Twitter npm包。

在此期间，我面临一个错误：

assets/
config/
controllers/
models/
modules/
   |
    -- module-1 
          |
           - controllers
           - models
           - views
               |
               - header.php
               - footer.php
    -- module-2 
          | 
          - controllers
          - models
          - views
              |
               - header.php
               - footer.php
views/
  |
  - layouts/
       |     
       - header.php
       - footer.php
       - main.php
web/

代码库初始化库

error  Error: HTTP Error: 400 Bad Request
at Request._callback (/Volumes/Office/Work/Pack3/developer/tweet-it/node_modules/twitter/lib/twitter.js:221:9)
at Request.self.callback (/Volumes/Office/Work/Pack3/developer/tweet-it/node_modules/request/request.js:185:22)
at Request.emit (events.js:180:13)
at Request.<anonymous> (/Volumes/Office/Work/Pack3/developer/tweet-it/node_modules/request/request.js:1157:10)
at Request.emit (events.js:180:13)
at IncomingMessage.<anonymous> (/Volumes/Office/Work/Pack3/developer/tweet-it/node_modules/request/request.js:1079:12)
at Object.onceWrapper (events.js:272:13)
at IncomingMessage.emit (events.js:185:15)
at endReadableNT (_stream_readable.js:1101:12)
at process._tickCallback (internal/process/next_tick.js:114:19)

所有细节均通过Twitter app console生成。

var Twitter = require('twitter');

//此请求即将完成

var twitterClient = new Twitter({
    consumer_key: process.env.TWITTER_CONSUMER_KEY,
    consumer_secret: process.env.TWITTER_CONSUMER_SECRET,
    access_token_key: process.env.TWITTER_ACCESS_TOKEN_KEY,
    access_token_secret: process.env.TWITTER_ACCESS_TOKEN_SECRET
});


function makePost(endpoint, params) {
        return new Promise(function (resolve, reject) {
            twitterClient.post(endpoint, params, function (error, data, response) {
                if (error) {
                    reject(error);
                } else {
                    resolve(data);
                }
            });
        });
    }

exports.postVideo = async function (req, res, next) {
    var params = req.body;

    const pathToMovie = './medias/video_3_640x360_1mb.mp4';
    const mediaType = 'video/mp4'; // `'video/mp4'` is also supported
    const mediaData = require('fs').readFileSync(pathToMovie);
    const mediaSize = require('fs').statSync(pathToMovie).size;
    console.log('mediaData ', mediaData);

    try {

        var options = {
            command: 'INIT',
            total_bytes: mediaSize,
            media_type: mediaType,
        };

//此请求无效。

        var mediaInit = await makePost('media/upload', options);

        console.log('options ', options);
        console.log('mediaInit ', mediaInit);
        console.log('mediaInit.media_id_string ', mediaInit.media_id_string);

使用的视频： https://www.sample-videos.com/video/mp4/360/big_buck_bunny_360p_1mb.mp4

参考：https://github.com/desmondmorris/node-twitter/tree/master/examples#chunked-media

Answer 1

在示例中包含三个上传媒体的命令：

INIT
APPEND
定格

INIT和APPEND命令在您的代码中似乎是正确的，但在FINALIZE命令中输入media_id。如果我没有误解代码，您应该使用＆＃39; mediaInit＆＃39;设置此参数。对象而不是＆＃39; media_id_string＆＃39;。

def toCSV(spark_df, n=None, save_csv=None, csv_sep=',', csv_quote='"'):
        """get spark_df from hadoop and save to a csv file

        Parameters
        ----------
        spark_df: incoming dataframe
        n: number of rows to get
        save_csv=None: filename for exported csv

        Returns
        -------

        """

        # use the more robust method
        # set temp names
        tmpfilename = save_csv or (wfu.random_filename() + '.csv')
        tmpfoldername = wfu.random_filename()
        print n
        # write sparkdf to hadoop, get n rows if specified
        if n:
            spark_df.limit(n).write.csv(tmpfoldername, sep=csv_sep, quote=csv_quote)
        else:
            spark_df.write.csv(tmpfoldername, sep=csv_sep, quote=csv_quote)

        # get merge file from hadoop
        HDFSUtil.getmerge(tmpfoldername, tmpfilename)
        HDFSUtil.rmdir(tmpfoldername)

        # read into pandas df, remove tmp csv file
        pd_df = pd.read_csv(tmpfilename, names=spark_df.columns, sep=csv_sep, quotechar=csv_quote)
        os.remove(tmpfilename)

        # re-write the csv file with header!
        if save_csv is not None:
            pd_df.to_csv(save_csv, sep=csv_sep, quotechar=csv_quote)

第二步返回mediaId，第三步使用该对象：

  /**
   * Step 2 of 3: Append file chunk
   * @param String mediaId    Reference to media object being uploaded
   * @return Promise resolving to String mediaId (for chaining)
   */
  function appendUpload (mediaId) {
    return makePost('media/upload', {
      command      : 'APPEND',
      media_id     : mediaId,
      media        : mediaData,
      segment_index: 0
    }).then(data => mediaId);
  }

但是在您的代码中，您传递的是＆＃39; mediaInit.media_id_string＆＃39;作为参数media_id的值：

  /**
   * Step 3 of 3: Finalize upload
   * @param String mediaId   Reference to media
   * @return Promise resolving to mediaId (for chaining)
   */
  function finalizeUpload (mediaId) {
    return makePost('media/upload', {
      command : 'FINALIZE',
      media_id: mediaId  <-------------
    }).then(data => mediaId);
  }

这可能是您代码中的错误。

Twitter视频媒体上传不起作用：错误：HTTP错误：400错误请求

1 个答案: