public void CreateCollection()
        {
            LiveDataETLs ldata = new LiveDataETLs();
            HistoryDataTopDetail hdatatop = new HistoryDataTopDetail();
            foreach (var today_m in ldata.mongo_LiveDataETL.QueryMongo())
            {
                HistoryDataCalculateDocument hdata = new HistoryDataCalculateDocument();
                hdata._id = today_m._id;
                hdata.live = today_m.live;

                hdata.match_prop = new MatchModel();
                hdata.match_prop.match_type = today_m.match_type;
                hdata.match_prop.match_time = today_m.match_time;
                hdata.match_prop.home_team = today_m.home_team;
                hdata.match_prop.away_team = today_m.away_team;
                hdata.match_prop.home_team_big = today_m.home_team_big;
                hdata.match_prop.away_team_big = today_m.away_team_big;
                hdata.match_prop.asia_odds = today_m.asia_odds;

                var host = hdatatop.mongo_HistoryDataTopHostDocument.QueryMongo()
                    .Where(e => e._id == today_m._id)
                    .Select(e => e.history_data_etl)
                    .FirstOrDefault()
                    .OrderByDescending(e => e.match_time)
                    .ToList();
                hdata.host_probability = ConvertHost(host, today_m.home_team_big);

                var away = hdatatop.mongo_HistoryDataTopAwayDocument.QueryMongo()
                   .Where(e => e._id == today_m._id)
                   .Select(e => e.history_data_etl)
                   .FirstOrDefault()
                   .OrderByDescending(e => e.match_time)
                   .ToList();
                hdata.away_probability = ConvertAway(away, today_m.away_team_big);

                var jz = hdatatop.mongo_HistoryDataTopJzDocument.QueryMongo()
                   .Where(e => e._id == today_m._id)
                   .Select(e => e.history_data_etl)
                   .FirstOrDefault()
                   .OrderByDescending(e => e.match_time)
                   .ToList();
                hdata.jz_probability = ConvertJz(jz, today_m.home_team_big, today_m.away_team_big);

                hdata.result_score = new PredictModel();
                hdata.result_score.full_host_goals = today_m.full_home_goals;
                hdata.result_score.full_away_goals = today_m.full_away_goals;
                hdata.result_score.half_host_goals = today_m.half_home_goals;
                hdata.result_score.half_away_goals = today_m.half_away_goals;
                hdata.result_score.full_310value = get310value(today_m.full_home_goals, today_m.full_away_goals);
                hdata.result_score.half_310value = get310value(today_m.half_home_goals, today_m.half_away_goals);

                hdata.predict_score = new PredictModel();//这里还没有实现计算

                mongo_HistoryDataCalculateDocument.MongoDropColCreateCol.Insert(hdata);

            }
            Console.WriteLine("HistoryDataCalculateDocument->mongo->ok");
        }
Example #2
0
        static void Main(string[] args)
        {

#if abcd
            int overday = 365 * 4;

            using (LiveDataETLs lcb = new LiveDataETLs())
            {
                lcb.CreateResultCollection(overday);
                lcb.CreateLiveCollection();
            }
            GC.Collect();
#endif
#if abcd
            using (HistoryDataTopDetail lcbs = new HistoryDataTopDetail())
                lcbs.CreateCollection();
            GC.Collect();

            using (HistoryDataCalculate lcbs = new HistoryDataCalculate())
                lcbs.CreateCollection();
            GC.Collect();

            DataMingForMatlab.DataMingForMatlabs.CreateSimCollection();

             DataMingForMatlab.DataMingForMatlabs.DoSimulink();
              using (StagingETLs sts = new StagingETLs())
                sts.CreateLiveCollection();
            GC.Collect();
            
#endif
#if abc
            using (ScorePredict sp = new ScorePredict())
                sp.CreateLiveCollection();
            GC.Collect();
            using (ScorePredictForCn sp = new ScorePredictForCn())
                sp.CreateLiveCollection();
            GC.Collect();

            //预测结束
#endif

#if abc
            //csv和email观察预测结果
            string filename = @"ScorePredictForCn.csv";
            ScorePredictForCn smo = new ScorePredictForCn();
            var today_ma = smo.mongo_ScorePredictForCn.QueryMongo();
            DataTable dt1 = today_ma.CopyDataTable();
            DataTableToTxt.DataTable2TxtAll(dt1, filename);
            Console.WriteLine("ScorePredictForCnToTxt->mongo->ok");

            SendPredictEmail.SendMail(filename);
#endif

#if abc
            //写入csv给R研究用
            DataMingForRs.MatchNowToTxt();
            DataMingForRs.MatchOverToTxt();
#endif

            Console.ReadKey();
        }