android - Volley 解析给出错误

标签 android json networking

我在通过 volley 解析 Json 时遇到问题,这是我的 logcat

08-13 06:05:55.523: D/Volley(902): [134] BasicNetwork.logSlowRequests: HTTP response for request=<[ ] http://www.petbasket.in/service/getProduct.php?category_id=Dog%20Soft%20Toys 0xe4f6ef05 NORMAL 1> [lifetime=12938], [size=158], [rc=200], [retryCount=0]
08-13 06:05:55.563: W/System.err(902): com.android.volley.ParseError: org.json.JSONException: Value <br of type java.lang.String cannot be converted to JSONObject
08-13 06:05:55.563: W/System.err(902):  at com.android.volley.toolbox.JsonObjectRequest.parseNetworkResponse(JsonObjectRequest.java:73)
08-13 06:05:55.563: W/System.err(902):  at com.android.volley.NetworkDispatcher.run(NetworkDispatcher.java:116)
08-13 06:05:55.573: W/System.err(902): Caused by: org.json.JSONException: Value <br of type java.lang.String cannot be converted to JSONObject
08-13 06:05:55.573: W/System.err(902):  at org.json.JSON.typeMismatch(JSON.java:111)
08-13 06:05:55.573: W/System.err(902):  at org.json.JSONObject.<init>(JSONObject.java:158)
08-13 06:05:55.573: W/System.err(902):  at org.json.JSONObject.<init>(JSONObject.java:171)
08-13 06:05:55.573: W/System.err(902):  at com.android.volley.toolbox.JsonObjectRequest.parseNetworkResponse(JsonObjectRequest.java:68)

我用来解析的代码是

我正在使用这段代码来解析 NAYOSO

RequestQueue reqQueue = Volley.newRequestQueue(this);

    Log.d(TAG, "just after line one in volley");

    Log.d(TAG, url.toString());
    JsonObjectRequest jr = new JsonObjectRequest(Request.Method.GET,
            url.toString(), null, new Response.Listener<JSONObject>() {

                @Override
                public void onResponse(JSONObject response) {
                    // TODO Auto-generated method stub

                    parseJSONResponse(response);
                    Log.d(TAG, "chal hat be" + response);
                    listViewAdapterAfterSelection.notifyDataSetChanged();
                    progress.dismiss();
                }
            }, new Response.ErrorListener() {

                @Override
                public void onErrorResponse(VolleyError error) {
                    Toast.makeText(getBaseContext(), "Network Problem",
                            Toast.LENGTH_LONG).show();
                    error.getCause();
                    error.printStackTrace();
                    progress.dismiss();
                }
            });
    jr.setRetryPolicy(new DefaultRetryPolicy(20000,
            DefaultRetryPolicy.DEFAULT_MAX_RETRIES,
            DefaultRetryPolicy.DEFAULT_BACKOFF_MULT));
    reqQueue.add(jr);

    progress = ProgressDialog.show(this, "Please Wait...",
            "Loading Products from Server...");
    /* ================================================================ */
}


private void parseJSONResponse(JSONObject response) {

    try {
        Log.v(TAG, "Before array");
        JSONArray entries = response.getJSONArray("products");

        for (int count = 0; count < entries.length(); count++) {
            JSONObject anEntry = entries.getJSONObject(count);
            Product product = new Product(anEntry.optInt("entity_id"),
                    anEntry.optString("name"),
                    anEntry.optString("short_description"),
                    anEntry.optInt("price"), anEntry.optString("thumbnail"));
            afterSelectionItems.add(product);
        }
    } catch (JSONException e) {
        e.printStackTrace();
    }
}`

响应是:

08-13 08:13:50.213: D/Volley(1723): [156] BasicNetwork.logSlowRequests: HTTP response for request=<[ ] http://www.petbasket.in/service/getProduct.php?category_id=Utility 0xe4f6ef05 NORMAL 1> [lifetime=9563], [size=159], [rc=200], [retryCount=0]

最佳答案

为了优化代码,我们使用 Volley 进行网络调用,同样你应该使用 GSON 或 JACKSON json 解析器来优化 json 解析速度,减少编码。

您的请求的 JSON 响应格式(测试 json Payload 为 154kb !!):

{
"products": [
    {
        "short_description": "Aqua Action Ball for Dogs Karlie is for dogs", 
        "entity_id": "560", 
        "price": "400.0000", 
        "name": "Aqua Action Ball for Dogs Karlie", 
        "thumbnail": "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"
    }, 
    {
        "short_description": null, 
        "entity_id": "561", 
        "price": "400.0000", 
        "name": "Crazy Critters Skinneeez", 
        "thumbnail": "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"
    }, 
    {
        "short_description": null, 
        "entity_id": "562", 
        "price": "199.0000", 
        "name": "Dog Toy Ball With Terry Cloth Assorted Karlie", 
        "thumbnail": "/9j/4AAQSkZJRgABAQEAZABkAAD/4gxYSUNDX1BST0ZJTEUAAQEAAAxITGlubwIQAABtbnRyUkdCIFhZWiAHzgACAAkABgAxAABhY3NwTVNGVAAAAABJRUMgc1JHQgAAAAAAAAAAAAAAAQAA9tYAAQAAAADTLUhQICAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABFjcHJ0AAABUAAAADNkZXNjAAABhAAAAGx3dHB0AAAB8AAAABRia3B0AAACBAAAABRyWFlaAAACGAAAABRnWFlaAAACLAAAABRiWFlaAAACQAAAABRkbW5kAAACVAAAAHBkbWRkAAACxAAAAIh2dWVkAAADTAAAAIZ2aWV3AAAD1AAAACRsdW1pAAAD+AAAABRtZWFzAAAEDAAAACR0ZWNoAAAEMAAAAAxyVFJDAAAEPAAACAxnVFJDAAAEPAAACAxiVFJDAAAEPAAACAx0ZXh0AAAAAENvcHlyaWdodCAoYykgMTk5OCBIZXdsZXR0LVBhY2thcmQgQ29tcGFueQAAZGVzYwAAAAAAAAASc1JHQiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAABJzUkdCIElFQzYxOTY2LTIuMQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWFlaIAAAAAAAAPNRAAEAAAABFsxYWVogAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAAAABvogAAOPUAAAOQWFlaIAAAAAAAAGKZAAC3hQAAGNpYWVogAAAAAAAAJKAAAA+EAAC2z2Rlc2MAAAAAAAAAFklFQyBodHRwOi8vd3d3LmllYy5jaAAAAAAAAAAAAAAAFklFQyBodHRwOi8vd3d3LmllYy5jaAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABkZXNjAAAAAAAAAC5JRUMgNjE5NjYtMi4xIERlZmF1bHQgUkdCIGNvbG91ciBzcGFjZSAtIHNSR0IAAAAAAAAAAAAAAC5JRUMgNjE5NjYtMi4xIERlZmF1bHQgUkdCIGNvbG91ciBzcGFjZSAtIHNSR0IAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZGVzYwAAAAAAAAAsUmVmZXJlbmNlIFZpZXdpbmcgQ29uZGl0aW9uIGluIElFQzYxOTY2LTIuMQAAAAAAAAAAAAAALFJlZmVyZW5jZSBWaWV3aW5nIENvbmRpdGlvbiBpbiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHZpZXcAAAAAABOk/gAUXy4AEM8UAAPtzAAEEwsAA1yeAAAAAVhZWiAAAAAAAEwJVgBQAAAAVx/nbWVhcwAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAo8AAAACc2lnIAAAAABDUlQgY3VydgAAAAAAAAQAAAAABQAKAA8AFAAZAB4AIwAoAC0AMgA3ADsAQABFAEoATwBUAFkAXgBjAGgAbQByAHcAfACBAIYAiwCQAJUAmgCfAKQAqQCuALIAtwC8AMEAxgDLANAA1QDbAOAA5QDrAPAA9gD7AQEBBwENARMBGQEfASUBKwEyATgBPgFFAUwBUgFZAWABZwFuAXUBfAGDAYsBkgGaAaEBqQGxAbkBwQHJAdEB2QHhAekB8gH6AgMCDAIUAh0CJgIvAjgCQQJLAlQCXQJnAnECegKEAo4CmAKiAqwCtgLBAssC1QLgAusC9QMAAwsDFgMhAy0DOANDA08DWgNmA3IDfgOKA5YDogOuA7oDxwPTA+AD7AP5BAYEEwQgBC0EOwRIBFUEYwRxBH4EjASaBKgEtgTEBNME4QTwBP4FDQUcBSsFOgVJBVgFZwV3BYYFlgWmBbUFxQXVBeUF9gYGBhYGJwY3BkgGWQZqBnsGjAadBq8GwAbRBuMG9QcHBxkHKwc9B08HYQd0B4YHmQesB78H0gflB/gICwgfCDIIRghaCG4IggiWCKoIvgjSCOcI+wkQCSUJOglPCWQJeQmPCaQJugnPCeUJ+woRCicKPQpUCmoKgQqYCq4KxQrcCvMLCwsiCzkLUQtpC4ALmAuwC8gL4Qv5DBIMKgxDDFwMdQyODKcMwAzZDPMNDQ0mDUANWg10DY4NqQ3DDd4N+A4TDi4OSQ5kDn8Omw62DtIO7g8JDyUPQQ9eD3oPlg+zD88P7BAJECYQQxBhEH4QmxC5ENcQ9RETETERTxFtEYwRqhHJEegSBxImEkUSZBKEEqMSwxLjEwMTIxNDE2MTgxOkE8UT5RQGFCcUSRRqFIsUrRTOFPAVEhU0FVYVeBWbFb0V4BYDFiYWSRZsFo8WshbWFvoXHRdBF2UXiReuF9IX9xgbGEAYZRiKGK8Y1Rj6GSAZRRlrGZEZtxndGgQaKhpRGncanhrFGuwbFBs7G2MbihuyG9ocAhwqHFIcexyjHMwc9R0eHUcdcB2ZHcMd7B4WHkAeah6UHr4e6R8THz4faR+UH78f6iAVIEEgbCCYIMQg8CEcIUghdSGhIc4h+yInIlUigiKvIt0jCiM4I2YjlCPCI/AkHyRNJHwkqyTaJQklOCVoJZclxyX3JicmVyaHJrcm6CcYJ0kneierJ9woDSg/KHEooijUKQYpOClrKZ0p0CoCKjUqaCqbKs8rAis2K2krnSvRLAUsOSxuLKIs1y0MLUEtdi2rLeEuFi5MLoIuty7uLyQvWi+RL8cv/jA1MGwwpDDbMRIxSjGCMbox8jIqMmMymzLUMw0zRjN/M7gz8TQrNGU0njTYNRM1TTWHNcI1/TY3NnI2rjbpNyQ3YDecN9c4FDhQOIw4yDkFOUI5fzm8Ofk6Njp0OrI67zstO2s7qjvoPCc8ZTykPOM9Ij1hPaE94D4gPmA+oD7gPyE/YT+iP+JAI0BkQKZA50EpQWpBrEHuQjBCckK1QvdDOkN9Q8BEA0RHRIpEzkUSRVVFmkXeRiJGZ0arRvBHNUd7R8BIBUhLSJFI10kdSWNJqUnwSjdKfUrESwxLU0uaS+JMKkxyTLpNAk1KTZNN3E4lTm5Ot08AT0lPk0/dUCdQcVC7UQZRUFGbUeZSMVJ8UsdTE1NfU6pT9lRCVI9U21UoVXVVwlYPVlxWqVb3V0RXklfgWC9YfVjLWRpZaVm4WgdaVlqmWvVbRVuVW+VcNVyGXNZdJ114XcleGl5sXr1fD19hX7NgBWBXYKpg/GFPYaJh9WJJYpxi8GNDY5dj62RAZJRk6WU9ZZJl52Y9ZpJm6Gc9Z5Nn6Wg/aJZo7GlDaZpp8WpIap9q92tPa6dr/2xXbK9tCG1gbbluEm5rbsRvHm94b9FwK3CGcOBxOnGVcfByS3KmcwFzXXO4dBR0cHTMdSh1hXXhdj52m3b4d1Z3s3gReG54zHkqeYl553pGeqV7BHtje8J8IXyBfOF9QX2hfgF+Yn7CfyN/hH/lgEeAqIEKgWuBzYIwgpKC9INXg7qEHYSAhOOFR4Wrhg6GcobXhzuHn4gEiGmIzokziZmJ/opkisqLMIuWi/yMY4zKjTGNmI3/jmaOzo82j56QBpBukNaRP5GokhGSepLjk02TtpQglIqU9JVflcmWNJaflwqXdZfgmEyYuJkkmZCZ/JpomtWbQpuvnByciZz3nWSd0p5Anq6fHZ+Ln/qgaaDYoUehtqImopajBqN2o+akVqTHpTilqaYapoum/adup+CoUqjEqTepqaocqo+rAqt1q+msXKzQrUStuK4trqGvFq+LsACwdbDqsWCx1rJLssKzOLOutCW0nLUTtYq2AbZ5tvC3aLfguFm40blKucK6O7q1uy67p7whvJu9Fb2Pvgq+hL7/v3q/9cBwwOzBZ8Hjwl/C28NYw9TEUcTOxUvFyMZGxsPHQce/yD3IvMk6ybnKOMq3yzbLtsw1zLXNNc21zjbOts83z7jQOdC60TzRvtI/0sHTRNPG1EnUy9VO1dHWVdbY11zX4Nhk2OjZbNnx2nba+9uA3AXcit0Q3ZbeHN6i3ynfr+A24L3hROHM4lPi2+Nj4+vkc+T85YTmDeaW5x/nqegy6LzpRunQ6lvq5etw6/vshu0R7ZzuKO6070DvzPBY8OXxcvH/8ozzGfOn9DT0wvVQ9d72bfb794r4Gfio+Tj5x/pX+uf7d/wH/Jj9Kf26/kv+3P9t////2wBDAAMCAgICAgMCAgIDAwMDBAYEBAQEBAgGBgUGCQgKCgkICQkKDA8MCgsOCwkJDRENDg8QEBEQCgwSExIQEw8QEBD/2wBDAQMDAwQDBAgEBAgQCwkLEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBD/wAARCABBAEYDAREAAhEBAxEB/8QAHAAAAgMBAQEBAAAAAAAAAAAAAAgGBwkFAQMC/8QALxAAAQMDBAECBQQCAwAAAAAAAQIDBAUGEQAHEiEIEzEJFCJBUSMyQoEkYUNicf/EABsBAQACAwEBAAAAAAAAAAAAAAABAgMEBgUH/8QAMhEAAQMCBQMBBwIHAAAAAAAAAQACEQMEBQYSITFBUWFxBxMUIjKBkcHRI4KhseHw8f/aAAwDAQACEQMRAD8A1T0RGiI0RGiI0RGiI0RGiI0RKr8Q/fu6dkdnYrm2d8R6JelSqbCYkdMduRJkwwFB8toWlSUBJLZLigBgFIOSBohUD8G/Ppjc+gLtHyDuyh0m72pTMemyXUJiCqIcSRhWP0g6FjH0lIUFJwM50UAp3nKhCacDLklsOE8Qjl9SjjOAPcnAzgd6KVCt7txjtns1d248AtuP0WjyJcUOJJQZAThoKHvj1CnI6+/toizq2n+JtvFb1aSxuiilXTS+ZD/pttRpgSPctKbCUZHvxWkj7ch76mFUFMdsH5y3Xvpc1YodO25pkKHAa9cTxUVuCOkrwhC0cB6iyM9JUnsfjXGZ2zjbZMw/4yvuTsB39O56D8kgArPb0Kt3VFGkNz+AO5/3dMjB3IpyajBpNaUzGfqbyY8RTauSXHSgqCD+DhJ/vrXH5B9qL813j7C9otY4Brg5j9bTqEhp6hwEz5BBgrfxKwp2DWuDvqMQRBkfopkCCMg519iXlr3REku/ngLUt594K1uTXbsqdTiVRTQYp6ZiI7cZhttKEsg8SrjkFWAR2onPesTjUHAVgGnlVZfXgPtouiqs6CRYdxRHCuPUEocmQ5jak9tyU8uZ7+pLiDlJJBCgcDG2sWuh6saYIlqsqTXdk7VVsrevkdcsyj3jafqUeiFUuQYkqUB6ZdcSErzyCWlhalJP1pSokZGrseDwqlpHKhPk/wCT1xWrcN/7O3+8iq2hfwZXQZcdICaRCQhtuTHeAQFOlTgWpRSpSkApPfIJTJJeCWFQdjuo5tRK8K9v4LtInbzWtT6g2yUvy4tLlzkvKUj6kmYtnDgwcFKSB2Rj31UsqP8AqKgQOFccyy4m27tHr2270Z6jVmmM1CI7EgpjNyWHBzQsN4T3hXsrBwR+Ma+ae0TJr8029NjHDWwyJ4K9HDb1tjVL3CQRB7qKX2jc7cZpw028DZj9EbcqNMqPpKC36gnBaaHpkllCsEFz7Z/aRnXkezzIpyzUdXugNbjqMcTBAiO0k9BwBwoxW7biFZhpg6WAxPJJ/ZVztN8RPdXZ6XcFs75wKxd82MltEKI/6EZ6M9yPqF18JypspKeJCVfkdHX2hp1CQvP4TDeMHnvWfI69qrasTaL5ZimUxVQXJg1Uyik+s22hC0lpITy5LIOc/pnrUqJTiaKVzK3b9MrkV1mbCYdcUgpQtaAVJOOiDqj2B4VmuLSqLmbT1moT0QKjbLE5LDoWy5IaS422oezieQISoD+Q71o+7fMQs+pp3UI8hPGDbGZQIN27uLiC17NjyahImqLwEFCykvJ9No83wtSUHh3yUB99bDWVGbArES13KTa6/GqwLsqS6tsdfNOTHqaw3EYiuGZS3lKPFsBSMuxSo4BbcScH2A9tW965uzwqaQeFqZZ1iUhe2VtWdcT8OuO0Klxaa/KaKSlT7DSW3CkpAx9ST10fz3rI+m2oPmQGF3abYtpUqA9TIdCiiPI6dStHPn/6TqraLGiAEkpNvOHwPpF+W0rcjaSkzBdVHbxJpsd5SlVOICTwbB/5W8koH8gSn346s1oYNlB3Uj+Hj4n3z47Ua5Lm3EdZj1a6kRGmqW08HVRGGS4rLy0jiXVKdPSSQkDsknq6gCFVu5fxPahYnkFVaZQaEK7t5AUKW+1ISmNJ+aZWpLz7C8ZCVK6CXcg8M/RnUKU9O2W6Vkbu2lAvOxa2xUIE9ht/ilafVjlQz6byASW1pOQUn7g+470lF1W7wtd2Y7T2a9CckMHi6hDoV6Z/CsdJ/vXL1864BbXAtq901pJgEyGk9tZGif5lsts67m6mtP6/jlUL8RCiXHXvEe902yguuwGo1UktAn9SLGfQ86OvwlHL7j6e9dPPBC1isr/GnY3f/c6ZNu6wHZ1rwKU0tEmusB1PSkkFsFsguZBwcHABJP41L3ho7qrQXFMrsE7vJsIxce21QvFhiBUpTEmI3GfW2JKQk8nmXB9TKlftWjGTwyeuzwmbcZr24bQtnFoIlzhEjeAO8eR6L6HkzAqF4H3Ny0OIMNaZjiSexPg+qaHYvfmqv7iQbBrVclTWaoHG0Mzlc3WXEtqcSttw9rbIQpJ7IBx7Ho6OVMXvX3Qt6z9dN0weYI9dx6H7LfzbgllSszdUWCnUbEgbSDt02PqPumRu69rQsGhv3Le1y02h0qOMuS6hJQw0DjIHJRGScdAZJ+w19KXy9c3brdjbfdqkrrm216Uq4YTJQl5cJ8LLKlp5JS4npTaik54qAP8ArREnW8fw4bDuS6Zl2xX6/FFRlOS5rECWn0nVrUVLwFpUWskn9p6z1jWAuezZXhrlWNleGFU2S3ahbjRNxZb9t0Wosy4lL+SeanPhR48JDyFBsoaUsEnBC0o7SnJGuXztWrDL14aB0uDCZ8D6gPJbI+627CmDcsDtxP8Az+qqzdOFt5tHvQq3tu591QqvMjN1V2azUUvSWX8OyC02ooC0hwISnlyWRyOUkDB6jIGP3eeMo07nHKNLQ/Wws0/wywHQJa4kd9uO0LysUs24bfOZQcZEGZ3nlXNsr8TG3qJbDm1/kVZtdkvIVLjz6g0EOq9GQ4taI7sVYQsJQ24lsYKiUpHWth1KzpAUsPj3LQGt08QBG3jZZWmpE1fq6yrc24+I94Z06FEsqjxK3Z1Ki/4rTcmhcYrLYGAVFhTmEkf6yPvjVQ0AQrSvpvBtpbF/VaNVbMnZg1GI1OpdQhH1GZEd1PNJSR+5PeUkHIyca5vFcIp3zgZhw4PjsR1C6fA8eq4W0tjU08jjccEHoVUG5viVdFa2yuJQlVyfcCYoXQltuiNHRJStKi26SDlDiQUnJHfE561XB8FpYW/3nJPiP3WTHsyVsYYKUQ0eZP8AYf5Sk3xtB5rXwLdoVz2Hf1xNU2OYNJZb/wA8QmkqOUpPMpazkDmr+IHeAAOmDm9FyUFaFfDK8aN0NirRuu5N1Ykyi1S6ZMdpuhvuNOekzHCyiQtTalDmv1lJ4nBAb79xqZlSAnXIBGCMjRSuNctuRK7TXIpYb9T3SriNYa9FtemWOEgq7HljpCXaf4aWNW9xW9yJtAWa4xw9N/5txLQKEFCVemDjISca8Shg/wAPh5wil8tsZGgcQ4yRPMEk7Txtwtl9dr63xDhL+/ouruT4x2vfj8Gs3httatxTKPCVBhvSoCS40wU8QnKSOXEft5ZKT2nB16lKi+3YKdPZoEADYADoFgc5rySeSs1t9vCDczbWvSp9hWtVrktlwFbbcdsuzYX/AEcQBydA/i4kHr3APZ2mVJEO5WIthajeHu00/a/xzse1rtiPGuNQPnZzctxTi4zz6i6WByJ4JbCkoCB0OJxq0A7oNldymWVtllbSCg9FJSMH+tIRfmPGjxGgxGZQ02MkJQMDSIRfTAHtqUXuiI0RGiI0RGiI0RGiI0RGiI0RGiI0RGiI0RGiI0RGiI0Rf//Z"
    }
]

private void parseJSONResponse(JSONObject response) {

    final JsonArray jsonArr = response.getJSONArray("products");;
        //final List<Country> cards
        ArrayList<MyPojo> numberList = new Gson().fromJson(jsonArr,
                new TypeToken<List<MyPojo>>() {
                }.getType());

for(MyPojo model : numberList) {

            afterSelectionItems.add(model); 

      }
}

POJO:

import java.util.List;

public class MyPojo{
    private List<Products> products;

    public List<Products> getProducts(){
        return this.products;
    }
    public void setProducts(List<Products> products){
        this.products = products;
    }
}


    import java.util.List;

    public class Products{
        private String entity_id;
        private String name;
        private String price;
        private String short_description;
        private String thumbnail;

        public String getEntity_id(){
            return this.entity_id;
        }
        public void setEntity_id(String entity_id){
            this.entity_id = entity_id;
        }
        public String getName(){
            return this.name;
        }
        public void setName(String name){
            this.name = name;
        }
        public String getPrice(){
            return this.price;
        }
        public void setPrice(String price){
            this.price = price;
        }
        public String getShort_description(){
            return this.short_description;
        }
        public void setShort_description(String short_description){
            this.short_description = short_description;
        }
        public String getThumbnail(){
            return this.thumbnail;
        }
        public void setThumbnail(String thumbnail){
            this.thumbnail = thumbnail;
        }
    }

如果你像我一样懒惰,请为你的 json 响应使用 pojo 生成器 http://www.jsonschema2pojo.org/

如果您在 logCat 中显示完整的 json 响应失败,试试这个 Android Volley Library doen't return whole response data

关于android - Volley 解析给出错误,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/18202075/

相关文章:

android - 从结构中删除后如何将 Twitter 集成到 Android 中以进行 Twitter 登录?

python - 如何将 pandas dataframe 导出为 json 并保留原始日期时间格式?

networking - 网络图中的边缘方向

遍历 arraylist 时抛出 java.util.ConcurrentModificationException

Android SQLite 数据库无法选择具有较大值的行,抛出 IllegalStateException

android - 媒体播放器在广播 Intent 停止后不会停止播放音频文件

android - Jelly Bean WebView 不能很好地使用文本框的 HTML maxlength 属性

json - 在 Go 中读取 json 文件值

php - 子字符串上的elasticsearch聚合

linux - 如何将名称添加到命名空间?