C# 微信 生活助手 空气质量 天气预报等 效果展示 数据抓取 （二）
此文主要是 中国天气网和中国环境监测总站的数据抓取 打算开放全部数据抓取源代码 已在服务器上 稳定运行半个月
webapi http://api.xuzhiheng.cn/
常量
/// <summary>
/// 环保部抓取数据链接
/// </summary>
public const string HBUrl = "http://datacenter.mep.gov.cn/report/air_daily/airDairyCityHour.jsp";
/// <summary>
/// 环境检测总站
/// </summary>
public const string HJJCZZUrl = "http://113.108.142.147:20035/emcpublish/ClientBin/Env-CnemcPublish-RiaServices-EnvCnemcPublishDomainService.svc/binary";
/// <summary>
/// 获取所有站点AQI数据
/// </summary>
public const string AQIDataUrl = HJJCZZUrl + "/GetAQIDataPublishLives";
/// <summary>
/// 获取所有城市AQI数据
/// </summary>
public const string CityDataUrl = HJJCZZUrl + "/GetCityAQIPublishLives";
/// <summary>
/// 中国天气网
/// </summary>
public const string WeatherUrl = "http://www.weather.com.cn";
/// <summary>
/// 中国天气网7天天气预报
/// </summary>
//public const string Weather7DUrl = WeatherUrl + "/weather/{0}.shtml";
public const string Weather7DUrl = "http://home.cw.uitv.com.cn/Weather.ashx?service=2&cityid={0}";
/// <summary>
/// 中国天气网实况天气预报
/// </summary>
//public const string WeatherSKUrl = "http://data.weather.com.cn/sk/{0}.html";
public const string WeatherSKUrl = "http://d1.weather.com.cn/sk_2d/{0}.html";
public const string WeatherSKDetailUrl = "http://flash.weather.com.cn/wmaps/xml/{0}.xml"; public static readonly string[] ChinaProvinces = new string[] { "heilongjiang", "jilin", "liaoning", "hainan", "neimenggu", "xinjiang", "xizang", "qinghai", "ningxia", "gansu", "hebei", "henan", "hubei", "hunan", "shandong", "jiangsu", "anhui", "shanxi", "sanxi", "sichuan", "yunnan", "guizhou", "zhejiang", "fujian", "jiangxi", "guangdong", "guangxi", "beijing", "tianjin", "shanghai", "chongqing", "xianggang", "aomen", "taiwan", "xisha", "nanshadao", "diaoyudao" }; /// <summary>
/// 风向
/// </summary>
public static readonly string[] WindDirections = new string[] { "无持续风向", "东北风", "东风", "东南风", "南风", "西南风", "西风", "西北风", "北风", "旋转风" };
/// <summary>
/// 风力
/// </summary>
public static readonly string[] WindForces = new string[] { "微风", "3-4级", "4-5级", "5-6级", "6-7级", "7-8级", "8-9级", "9-10级", "10-11级", "11-12级" };
/// <summary>
/// 天气
/// </summary>
public static readonly string[] Weathers = new string[] { "晴", "多云", "阴", "阵雨", "雷阵雨", "冰雹", "雨夹雪", "小雨", "中雨", "大雨", "暴雨", "大暴雨", "特大暴雨", "阵雪", "小雪", "中雪", "大雪", "暴雪", "雾", "冻雨", "沙尘暴", "小到中雨", "中到大雨", "大到暴雨", "暴雨到大暴雨", "大暴雨到特大暴雨", "小到中雪", "中到大雪", "大到暴雪", "浮尘", "扬沙", "强沙尘暴", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "霾" };
/// <summary>
/// 质数代号
/// </summary>
public static readonly string[] Indexs = new string[] { "ag", "cl", "lk", "yh", "uv", "ls", "mf", "pj", "tr", "yd", "hc", "ac", "ct", "gj", "ys", "nl", "pk", "zs", "xc", "co", "dy", "fs", "gm", "jt", "xq", "pl", "pp" };
/// <summary>
/// 质数名称
/// </summary>
public static readonly string[] IndexNames = new string[] { "息斯敏过敏指数", "晨练指数", "路况指数", "约会指数", "紫外线强度指数", "晾晒指数", "美发指数", "啤酒指数", "旅游指数", "运动指数", "划船指数", "空调开启指数", "穿衣指数", "逛街指数", "雨伞指数", "夜生活指数", "放风筝指数", "中暑指数", "洗车指数", "舒适度指数", "钓鱼指数", "防晒指数", "感冒指数", "交通指数", "心情指数", "空气污染扩散条件指数", "化妆指数" };
中国天气网 没什么 要说的 直接抓取 就可以了 代码如下
7天天气预报 一天发布3次
foreach (int areaId in weatherAreaIds)
{
if (weather7DLastGrabTime[areaId] < DateTime.Today || ((weather7DLastGrabTime[areaId] == DateTime.Today.AddHours() && DateTime.Now.Hour > ) ||
(weather7DLastGrabTime[areaId] == DateTime.Today.AddHours() && DateTime.Now.Hour > ) ||
(weather7DLastGrabTime[areaId] == DateTime.Today.AddDays(-).AddHours() && DateTime.Now.Hour > )))
{
string res = GetRequest(string.Format(Constant.Weather7DUrl, areaId), "isexist=1");
try
{
JsonForecast jsonForecast = JsonConvert.DeserializeObject<JsonForecast>(res);
Forecast7D forecast7D = Mapper.Map<Qtyb, Forecast7D>(jsonForecast.qtyb);
forecast7D.City = jsonForecast.city;
forecast7D.CityId = areaId;
forecast7D.Time = jsonForecast.ftime;
if (jsonForecast.ftime == weather7DLastGrabTime[areaId])
{
Thread.Sleep();
continue;
}
lock (aqiEntities)
{
weather7DLastGrabTime[areaId] = forecast7D.Time;
aqiEntities.GrabDataConfig.FirstOrDefault(p => p.Key == areaId.ToString() && p.Type == ).Time = forecast7D.Time;
aqiEntities.Forecast7D.Add(forecast7D);
aqiEntities.SaveChanges();
Log(string.Format("【天气预报】 {0} 发布时间：{1} 获取时间：{2}", forecast7D.City, forecast7D.Time, DateTime.Now));
}
}
catch (Exception)
{
}
}
}
天气实况
string res = GetRequest(string.Format(Constant.WeatherSKDetailUrl, area), Constant.WeatherUrl, "").Replace(area, "JsonSKDetail");
using (StreamReader streamReader = new StreamReader(new MemoryStream(Encoding.UTF8.GetBytes(res)), Encoding.UTF8))
{
try
{
JsonSKDetail jsonSKDetail = (JsonSKDetail)xmlSerializer.Deserialize(streamReader);
foreach (JsonSKDetailCity jsonSKDetailCity in jsonSKDetail.city)
{
WeatherSKDetail weatherSKDetail = Mapper.Map<JsonSKDetailCity, WeatherSKDetail>(jsonSKDetailCity);
weatherSKDetail.dn = jsonSKDetail.dn;
if (!weatherSKDetails.Exists(p => p.url == weatherSKDetail.url) && weatherSKDetailLastGrabTime[weatherSKDetail.url] != weatherSKDetail.time)
{
weatherSKDetails.Add(weatherSKDetail);
weatherSKDetailLastGrabTime[weatherSKDetail.url] = weatherSKDetail.time;
lock (aqiEntities)
{
aqiEntities.GrabDataConfig.FirstOrDefault(p => p.Type == && p.Key == weatherSKDetail.url.ToString()).Time = weatherSKDetail.time;
aqiEntities.SaveChanges();
}
}
if (!string.IsNullOrEmpty(jsonSKDetailCity.pyName))
{
GetSKDetail(jsonSKDetailCity.pyName);
}
}
}
catch (Exception ex)
{
string s = ex.Message;
}
}
中国环境检测总站
通过抓包发现用的是wcf 返回的是二进制xml文档 需要用到 一个 https://github.com/waf/WCF-Binary-Message-Inspector 把数据解析出来 同时他也是fiddler的一个插件 可以在里面直接看出
private void GetCityAQI()
{
bool isWriteFile = false;
if (DateTime.Now >= lastGrabCityAQITime.AddHours())
{
#region 获取数据
while (true)
{
try
{
XmlElement xmlElement = GetXmlElement(Constant.CityDataUrl);
XmlNode xn = xmlElement.LastChild.LastChild;
XmlNodeList xmlNodeList = xn.ChildNodes;
DateTime TimePoint = DateTime.Now;
if (xmlNodeList.Count > )
{
XmlElement xe = (XmlElement)xmlNodeList[];
TimePoint = DateTime.Parse(xe.GetElementsByTagName("b:TimePoint")[].InnerText);
if (TimePoint == lastGrabCityAQITime)
{
isWriteFile = false;
}
else
{
lastGrabCityAQITime = TimePoint;
isWriteFile = true;
}
}
#region 数据操作
if (isWriteFile)
{
foreach (XmlElement xe in xmlNodeList)
{
string Area = xe.GetElementsByTagName("b:Area")[].InnerText;
string PrimaryPollutant = xe.GetElementsByTagName("b:PrimaryPollutant")[].InnerText;
if (PrimaryPollutant == "—")
PrimaryPollutant = null;
int? AQI = xe.GetElementsByTagName("b:AQI")[].InnerText.ToNullable<int>();
int? SO2 = xe.GetElementsByTagName("b:SO2")[].InnerText.ToNullable<int>();
int? PM2_5 = xe.GetElementsByTagName("b:PM2_5")[].InnerText.ToNullable<int>();
int? PM10 = xe.GetElementsByTagName("b:PM10")[].InnerText.ToNullable<int>();
int? O3 = xe.GetElementsByTagName("b:O3")[].InnerText.ToNullable<int>();
int? NO2 = xe.GetElementsByTagName("b:NO2")[].InnerText.ToNullable<int>();
float? CO = xe.GetElementsByTagName("b:CO")[].InnerText.ToNullable<float>();
int CityCode = int.Parse(xe.GetElementsByTagName("b:CityCode")[].InnerText);
var model = new CityAQI()
{
CityCode = CityCode,
Area = Area,
O3 = O3,
CO = CO,
TimePoint = TimePoint,
AQI = AQI,
PrimaryPollutant = PrimaryPollutant,
NO2 = NO2,
PM10 = PM10,
PM2_5 = PM2_5,
SO2 = SO2
};
cityAQIs.Add(model);
}
lock (aqiEntities)
{
aqiEntities.CityAQI.AddRange(cityAQIs);
aqiEntities.GrabDataConfig.FirstOrDefault(p => p.Key == "CityAQI").Time = lastGrabCityAQITime;
aqiEntities.SaveChanges();
cityAQIs.Clear();
}
lb_log.Invoke((EventHandler)delegate
{
if (lb_log.Items.Count > )
{
lb_log.Items.Clear();
}
lb_log.Items.Add("中国环境检测总站 城市" + " " + TimePoint.ToString("yyyy-MM-dd HH:mm:ss") + "数据 " + DateTime.Now);
lb_log.SelectedIndex = lb_log.Items.Count - ;
});
Thread.Sleep( * );
}
#endregion
break;
}
catch (Exception)
{
Thread.Sleep( * );
}
}
#endregion
}
}
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