利用Abot爬虫和visjs 呈现漫威宇宙

1. 引言

最近接触Abot爬虫也有几天时间了，闲来无事打算从IMDB网站上爬取一些电影数据玩玩。正好美国队长3正在热映，打算爬取漫威近几年的电影并用vis这个JS库呈现下漫威宇宙的相关电影。

Abot是一个开源的C#爬虫，代码非常轻巧。可以参看这篇文章（利用Abot 抓取博客园新闻数据）入门Abot。

Vis 是一个JS的可视化库类似于D3。vis 提供了像Network 网络图的可视化，TimeLine 可视化等等。这里用到了network,只需要给vis传入简单的节点信息，边的信息就可以自动构建一个网络图。

 

2. 实现

首先从数据开始，得到漫威宇宙所有相关的电影名称，这个数据网上太多了：

从电影名称到IMDB的电影页面其实有个搜索过程，还好电影数目不多，这里偷个懒直接采用IMDB的电影链接作为种子Url

        public static List<string> ImdbFeedMovies = new List<string>()
        {
            //Iron man 2008
            "http://www.imdb.com/title/tt1233205/",
            //hunk 2008
            "http://www.imdb.com/title/tt0800080/",
            //Iron man 2 2010
            "http://www.imdb.com/title/tt1228705/",
            //Thor 2011
            "http://www.imdb.com/title/tt0800369/",
            //Captain America
            "http://www.imdb.com/title/tt0458339/",
            //Averages
            "http://www.imdb.com/title/tt0848228/",
            //Iron man 3 
            "http://www.imdb.com/title/tt1300854/",
            //thor 2
            "http://www.imdb.com/title/tt1981115/",
            //Captain America 2
            "http://www.imdb.com/title/tt1843866/",
            //Guardians of the Galaxy;
            "http://www.imdb.com/title/tt2015381/",
            //Ultron
            "http://www.imdb.com/title/tt2395427/",
            //ant-man
            "http://www.imdb.com/title/tt0478970/",
            //Civil war
            "http://www.imdb.com/title/tt3498820/",
            //Doctor Strange
            "http://www.imdb.com/title/tt1211837/",
            //Guardians of the Galaxy 2;
            "http://www.imdb.com/title/tt3896198/",
            //Thor 3
            "http://www.imdb.com/title/tt3501632/",
            // Black Panther
            "http://www.imdb.com/title/tt1825683/",
            //Avengers: Infinity War - Part I
            "http://www.imdb.com/title/tt4154756/"
        };

有了种子Url 就可以利用Abot 爬取电影的数据，这里只爬取电影名称，电影图片以及演员。

这里定义一些需要用到的数据结构：

    public class MarvellItem
    {
        /// <summary>
        /// http://www.imdb.com/title/tt0800369/
        /// </summary>
        public string ImdbUrl { get; set; }
        public string Name { get; set; }
        public string Image { get; set; }
    }

    public class ImdbMovie
    {
        public string ImdbUrl { get; set; }
        public string Name { get; set; }
        public string Image { get; set; }
        public DateTime Date { get; set; }
 
        public List<MarvellItem> Actors { get; set; } 
    }

    public static readonly Regex MovieRegex = new Regex("http://www.imdb.com/title/tt\\d+", RegexOptions.Compiled);

Abot中爬取页面后最主要的处理函数就是PageCrawlCompletedAsync ，这里给出爬取每个电影页面后的complete Callback函数

        private ConcurrentDictionary<string, ImdbMovie> movieResult; //爬取到的电影数据

        public void Moviecrawler_ProcessPageCrawlCompletedAsync(object sender, PageCrawlCompletedArgs e)
        {
            if (MovieRegex.IsMatch(e.CrawledPage.Uri.AbsoluteUri))
            {
                var csTitle = e.CrawledPage.CsQueryDocument.Select(".title_block > .title_bar_wrapper > .titleBar > .title_wrapper > h1");
                string title = HtmlData.HtmlDecode(csTitle.Text().Trim());

                var datetime =
                    e.CrawledPage.CsQueryDocument.Select(
                        ".title_block > .title_bar_wrapper > .titleBar > .title_wrapper > .subtext > a:last > meta");

                var year = datetime.Attr("content").Trim();

                var csImg = e.CrawledPage.CsQueryDocument.Select(".poster > a > img");
                string image = csImg.Attr("src").Trim();

                if (!string.IsNullOrEmpty(image))
                {
                    HttpWebRequest webRequest = (HttpWebRequest) WebRequest.Create(image);
                    webRequest.Credentials = CredentialCache.DefaultCredentials;
                    var stream = webRequest.GetResponse().GetResponseStream();
                    if (stream != null)
                    {
                        Image bitmap = new Bitmap(stream);
                        image = e.CrawledPage.Uri.AbsoluteUri.GetHashCode() + ".jpg";
                        bitmap.Save(image);
                    }
                }

                var csTable = e.CrawledPage.CsQueryDocument.Select("#titleCast > table");
                var csTrs = csTable.Select("tr", csTable);

                List<MarvellItem> actors = new List<MarvellItem>();
                foreach (var tr in csTrs)
                {
                    var csTr = new CsQuery.CQ(tr);
                    var cslink = csTr.Select("td > a", csTr);
                    if (cslink.Any())
                    {
                        string url = NormUrl(cslink.Attr("href").Trim());
                        string actorTitle = cslink.Select("img", cslink).Attr("title").Trim();
                        string actorImage = cslink.Select("img", cslink).Attr("src").Trim();

                        actors.Add(new MarvellItem()
                        {
                            Name = actorTitle,
                            ImdbUrl = url,
                            Image = actorImage
                        });
                    }
                }

                this.movieResult.TryAdd(e.CrawledPage.Uri.AbsoluteUri, new ImdbMovie()
                {
                    Name = title,
                    Image = image,
                    Date = DateTime.Parse(year),
                    ImdbUrl = e.CrawledPage.Uri.AbsoluteUri,
                    Actors = actors
                });
            }
        }

该函数的主要功能就是解析电影页面，得到电影名字 电影图片 和 演员信息。这里面还有一个小trick ,由于IMDB的限制，需要把爬到的图片下载下来，否则在生产环境下<img src=””/>  图片是无法显示的.

更多这个trick的细节可以参看 关于img 403 forbidden的一些思考

对于所有的电影链接，可以采用Task 并行执行：

           Task[] movieTasks = new Task[ImdbFeedMovies.Count];

            System.Console.WriteLine("Start crawl Movies");

            for (var i = 0; i < ImdbFeedMovies.Count; i++)
            {
                var url = ImdbFeedMovies[i];
                movieTasks[i] = new Task(() =>
                {
                    System.Console.WriteLine("Start crawl:" + url);
                    var crawler = GetManuallyConfiguredWebCrawler();
                    ConfigMovieCrawl(crawler);

                    crawler.Crawl(new Uri(url));
                    System.Console.WriteLine("End crawl:" + url);
                });

                movieTasks[i].Start();
            }

            Task.WaitAll(movieTasks);

            System.Console.WriteLine("End crawl Movies");

结束后我们得到一堆JSON 数据

把它传到前端：

@model List<ImdbMovie>

<div class="clearfix" style=" position: relative">
    <div id="marvel-graph">
    </div>
</div>

@section PostScripts{
    <script type="text/javascript">
        $(function () {
            var nodes = [];
            var edges = [];

            @for (int i = 0; i < Model.Count; i++)
            {
                var film = Model[i];
                <text>
                nodes.push({
                    id: ‘@film.ImdbUrl‘,
                    title: ‘@film.Name‘,
                    borderWidth: 4,
                    shapeProperties: {useBorderWithImage: true},
                    shape: "image",
                    image: ‘@(string.IsNullOrEmpty(film.Image) ? "" : (film.Image.StartsWith("http") ? film.Image : Href("../../Images/marvel/"+film.Image)))‘,
                    color: { border: ‘#4db6ac‘, background: ‘#009688‘ }
                });

                @if (i != Model.Count - 1)
                {
                    <text>
                    edges.push({
                        from: ‘@film.ImdbUrl‘,
                        to: ‘@Model[i+1].ImdbUrl‘,
                        arrows: { to: true },
                        width: 4,
                        length:360,
                        color: "red"
                    });
                    </text>
                }

                @foreach (var actor in film.Actors)
                {
                    <text>
                    nodes.push({
                        id: ‘@film.ImdbUrl‘ + ‘@actor.ImdbUrl‘,
                        title: ‘@actor.Name‘,
                        borderWidth: 4,
                        shapeProperties: { useBorderWithImage: true },
                        shape: "circularImage",
                        image: ‘@(string.IsNullOrEmpty(actor.Image) ? "" : (actor.Image.StartsWith("http") ? actor.Image : Href("../../Images/marvel/"+actor.Image)))‘,
                    });

                    edges.push({
                        from: ‘@film.ImdbUrl‘,
                        to: ‘@film.ImdbUrl‘ + ‘@actor.ImdbUrl‘,
                        arrows: { to: true }
                    });
                    </text>
                }
                
                    </text>
            }

            var container = document.getElementById("marvel-graph");
     
            var visNodes = new vis.DataSet(nodes);
            var data = {
                nodes: visNodes,
                edges: edges
            };

            var options = {
                layout: { improvedLayout: false },
                nodes: {
                    borderWidth: 3,
                    font: {
                        color: ‘#000000‘,
                        size: 12,
                        face: ‘Segoe UI‘
                    },
                    color: { background: ‘#4db6ac‘, border: ‘#009688‘ }
                },
                edges: {
                    color: ‘#c1c1c1‘,
                    width: 2,
                    font: {
                        color: ‘#2d2d2d‘,
                        size: 12
                    },
                    smooth: {
                        enabled: false,
                        type: ‘continuous‘
                    }
                }
            };

            var network = new vis.Network(container, data, options);
        });
    </script>
}

vis network 主要就是 new Network(container, data, options); 传入节点 和 边即可。

最终的效果如图：

 

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