上一篇文章,写了基本框架,可能很多人会觉得晕头转向,这里提供一个简单的例子来予以说明,希望能帮你解开谜团。
一、功能介绍
通过微信公众平台实现在线客服机器人功能。主要的功能包括:简单对话、查询天气等服务。
这里只是提供比较简单的功能,重在通过此实例来说明公众平台的具体研发过程。只是一个简单DEMO,如果需要的话可以在此基础上进行扩展。
当然后续我们还会推出比较复杂的应用实例。
二、具体实现
1、提供访问接口
这里不再赘述,参照上一章,微信公众账号开发教程(二) 基础框架搭建
2、签名认证和分发请求
这里不再赘述,参照上一章,微信公众账号开发教程(二) 基础框架搭建
3、处理请求,并响应
1)关注
当微信用户关注公众账号时,可以给其适当的提示。可以是欢迎词,可以是帮助提示。
直接上代码:
return response;
}
}
2)问候
简单的交流问候,比如你好、帮助等等,跟我们使用微信聊天一样,不过回应是由我们的程序响应。具体功能,可以根据自己的需要进行添加。
微信本来就是沟通的平台。这个案例,可以用于在线服务机器人,类似于淘宝的客服机器人,可是我们这个是微信版的。呵呵 其实,很简单,获取请求消息,根据关键字来匹配回应。当然这里可能要做的工作很多,如何支持智能匹配,如何支持模糊匹配等。
代码如下:
return response;
}
}
3)查询天气
这个功能需要请求实时查询的,请求官方的天气发布网站,然后解析其返回值,按照我们需要的格式,组织天气信息,最后发送给微信客户。
采用文本消息方式处理。
用户请求,只需输入:tq 城市名称/拼音/首字母,即可获取消息。
回复的消息:(以北京为例)
北京 2013年11月6日 星期三 今天:(17℃~4℃)晴北风4-5级转3-4级4-5级转3-4级 24小时穿衣指数:天气冷,建议着棉服、羽绒服、皮夹克加羊毛衫等冬季服装。年老体弱者宜着厚棉衣、冬大衣或厚羽绒服。 明天:(14℃~3℃)晴转多云微风小于3级 48小时穿衣指数:天气冷,建议着棉服、羽绒服、皮夹克加羊毛衫等冬季服装。年老体弱者宜着厚棉衣、冬大衣或厚羽绒服。
来看源码吧:
return mCities;
}
}
/// <summary>
/// 加载城市
/// </summary>
private static void LoadCities()
{
mCities = new Dictionary<string,City>();
mCities.Clear();
mCities.Add("101010100",new City() { Code = "101010100",Name = "北京",PinYin = "beijing",FristLetter = "bj" });
mCities.Add("101020100",new City() { Code = "101020100",Name = "上海",PinYin = "shanghai",FristLetter = "sh" });
mCities.Add("101200101",new City() { Code = "101200101",Name = "武汉",PinYin = "wuhai",FristLetter = "wh" });
}
/// <summary>
/// <a href="/tag/huoqu/" target="_blank" class="keywords">获取</a>城市的天气
/// </summary>
/// <param name="name">城市<a href="/tag/mingcheng/" target="_blank" class="keywords">名称</a>、拼音或首字母</param>
/// <returns></returns>
public static string GetWeather(string name)
{
string result = string.Empty;
string cityCode = string.Empty;
//<a href="/tag/huoqu/" target="_blank" class="keywords">获取</a>城市编码
IEnumerable<string> codes = from item in Cities
where item.Value != null
&& (item.Value.Name.Equals(name,StringComparison.OrdinalIgnoreCase)
|| item.Value.PinYin.Equals(name,StringComparison.OrdinalIgnoreCase)
|| item.Value.FristLetter.Equals(name,StringComparison.OrdinalIgnoreCase))
select item.Value.Code;
if (codes != null && codes.Count() > 0)
{
cityCode = codes.First<string>();
}
//http请求,<a href="/tag/huoqu/" target="_blank" class="keywords">获取</a>天气
if (!string.IsNullOrEmpty(cityCode))
{
string url = "http://m.weather.com.cn/data/{0}.html";
url = string.Format(url,cityCode);
WebRequest request = HttpWebRequest.Create(url);
//超时时间为:2秒
request.Timeout = 2000;
request.Credentials = CredentialCache.DefaultCredentials;
WebResponse response = request.GetResponse();
StreamReader reader = new StreamReader(response.GetResponseStream(),Encoding.UTF8);
string weahterInfo = reader.ReadToEnd();
if (string.IsNullOrEmpty(weahterInfo))
{
result = "暂时没有取到<a href="/tag/tianqishuju/" target="_blank" class="keywords">天气数据</a>,请稍后再试";
}
else
{
XmlDocument doc = JsonConvert.DeserializeXmlNode(weahterInfo);
if (doc != null)
{
XmlNode node = doc.DocumentElement;
if (node != null)
{
StringBuilder builder = new StringBuilder();
builder.Append(node["city"].InnerText).Append("\n");
builder.Append(node["date_y"].InnerText).Append(" ").Append(node["week"].InnerText).Append("\n");
builder.Append("今天:").Append("(").Append(node["temp1"].InnerText).Append(")").Append(node["weather1"].InnerText).Append(node["wind1"].InnerText).Append(node["fl1"].InnerText).Append("\n");
builder.Append("24小时穿衣指数:").Append(node["index_d"].InnerText).Append("\n");
builder.Append("明天:").Append("(").Append(node["temp2"].InnerText).Append(")").Append(node["weather2"].InnerText).Append(node["wind2"].InnerText).Append(node["fl2"].InnerText).Append("\n");
builder.Append("48小时穿衣指数:").Append(node["index48_d"].InnerText).Append("\n");
result = builder.ToString();
}
}
#region 天气json数据格式
/*
{
"weatherinfo": {
"city": "北京","city_en": "beijing","date_y": "2013年11月4日","date": "","week": "星期一","fchh": "11","cityid": "101010100","temp1": "17℃~5℃","temp2": "16℃~5℃","temp3": "18℃~4℃","temp4": "17℃~5℃","temp5": "14℃~6℃","temp6": "14℃~2℃","tempF1": "62.6℉~41℉","tempF2": "60.8℉~41℉","tempF3": "64.4℉~39.2℉","tempF4": "62.6℉~41℉","tempF5": "57.2℉~42.8℉","tempF6": "57.2℉~35.6℉","weather1": "晴转多云","weather2": "多云","weather3": "多云转晴","weather4": "晴转多云","weather5": "多云转阴","weather6": "阴转晴","img1": "0","img2": "1","img3": "1","img4": "99","img5": "1","img6": "0","img7": "0","img8": "1","img9": "1","img10": "2","img11": "2","img12": "0","img_single": "0","img_title1": "晴","img_title2": "多云","img_title3": "多云","img_title4": "多云","img_title5": "多云","img_title6": "晴","img_title7": "晴","img_title8": "多云","img_title9": "多云","img_title10": "阴","img_title11": "阴","img_title12": "晴","img_title_single": "晴","wind1": "微风","wind2": "微风","wind3": "微风","wind4": "微风","wind5": "微风","wind6": "北风4-5级","fx1": "微风","fx2": "微风","fl1": "小于3级","fl2": "小于3级","fl3": "小于3级","fl4": "小于3级","fl5": "小于3级","fl6": "4-5级","index": "较冷","index_d": "建议着大衣、呢外套加毛衣、卫衣等服装。体弱者宜着厚外套、厚毛衣。因昼夜温差较大,注意增减衣服。","index48": "冷","index48_d": "天气冷,建议着棉服、羽绒服、皮夹克加羊毛衫等冬季服装。年老体弱者宜着厚棉衣、冬大衣或厚羽绒服。","index_uv": "中等","index48_uv": "弱","index_xc": "适宜","index_tr": "适宜","index_co": "舒适","st1": "17","st2": "5","st3": "17","st4": "5","st5": "18","st6": "6","index_cl": "适宜","index_ls": "适宜","index_ag": "极不易发"
}
}
*/
endregion
}
}
else
{
result = "没有<a href="/tag/huoqu/" target="_blank" class="keywords">获取</a>到该城市的天气,请确定输入了正确的城市<a href="/tag/mingcheng/" target="_blank" class="keywords">名称</a>,如\'北京\'或者\'beijing\'或者\'bj\'";
}
//返回
return result;
}
/// <summary>
/// 内部类:城市
/// </summary>
internal class City
{
/// <summary>
/// 编码
/// </summary>
public string Code { get; set; }
/// <summary>
/// <a href="/tag/mingcheng/" target="_blank" class="keywords">名称</a>
/// </summary>
public string Name { get; set; }
/// <summary>
/// 拼音
/// </summary>
public string PinYin { get; set; }
/// <summary>
/// 拼音首字母
/// </summary>
public string FristLetter { get; set; }
}
}