public int GetLogisticRegression(DidiDBDetail detailData, DidiPerData fixData, LogitCoef LogitCoefData)
{
log.Info("GetLogisticRegression data :{0}", DateTime.Now);
float t2 = LogitCoefData.listLogitCoef.Where(w => w.coef_name == "(Intercept):2").Select(s => s.coef).FirstOrDefault();
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "click:2").Select(s => s.coef).FirstOrDefault() * fixData.click;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "roi:2").Select(s => s.coef).FirstOrDefault() * fixData.roi;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "imp_rank1:2").Select(s => s.coef).FirstOrDefault() * fixData.imp_rank1;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "pc_score:2").Select(s => s.coef).FirstOrDefault() * fixData.pc_score;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "ctr_ind:2").Select(s => s.coef).FirstOrDefault() * fixData.ctr_ind;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_ind:2").Select(s => s.coef).FirstOrDefault() * fixData.cpc_ind;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_limt_ind:2").Select(s => s.coef).FirstOrDefault() * fixData.d_limt_ind;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_spend_ind:2").Select(s => s.coef).FirstOrDefault() * fixData.d_spend_ind;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "price_limt_ind:2").Select(s => s.coef).FirstOrDefault() * fixData.price_limit_ind;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_mm:2").Select(s => s.coef).FirstOrDefault() * fixData.cpc_mm;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_p:2").Select(s => s.coef).FirstOrDefault() * fixData.cpc_p;
float t3 = LogitCoefData.listLogitCoef.Where(w => w.coef_name == "(Intercept):3").Select(s => s.coef).FirstOrDefault();
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "click:3").Select(s => s.coef).FirstOrDefault() * fixData.click;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "roi:3").Select(s => s.coef).FirstOrDefault() * fixData.roi;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "imp_rank1:3").Select(s => s.coef).FirstOrDefault() * fixData.imp_rank1;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "pc_score:3").Select(s => s.coef).FirstOrDefault() * fixData.pc_score;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "ctr_ind:3").Select(s => s.coef).FirstOrDefault() * fixData.ctr_ind;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_ind:3").Select(s => s.coef).FirstOrDefault() * fixData.cpc_ind;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_limt_ind:3").Select(s => s.coef).FirstOrDefault() * fixData.d_limt_ind;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_spend_ind:3").Select(s => s.coef).FirstOrDefault() * fixData.d_spend_ind;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "price_limt_ind:3").Select(s => s.coef).FirstOrDefault() * fixData.price_limit_ind;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_mm:3").Select(s => s.coef).FirstOrDefault() * fixData.cpc_mm;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_p:3").Select(s => s.coef).FirstOrDefault() * fixData.cpc_p;
float t4 = LogitCoefData.listLogitCoef.Where(w => w.coef_name == "(Intercept):4").Select(s => s.coef).FirstOrDefault();
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "click:4").Select(s => s.coef).FirstOrDefault() * fixData.click;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "roi:4").Select(s => s.coef).FirstOrDefault() * fixData.roi;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "imp_rank1:4").Select(s => s.coef).FirstOrDefault() * fixData.imp_rank1;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "pc_score:4").Select(s => s.coef).FirstOrDefault() * fixData.pc_score;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "ctr_ind:4").Select(s => s.coef).FirstOrDefault() * fixData.ctr_ind;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_ind:4").Select(s => s.coef).FirstOrDefault() * fixData.cpc_ind;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_limt_ind:4").Select(s => s.coef).FirstOrDefault() * fixData.d_limt_ind;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_spend_ind:4").Select(s => s.coef).FirstOrDefault() * fixData.d_spend_ind;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "price_limt_ind:4").Select(s => s.coef).FirstOrDefault() * fixData.price_limit_ind;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_mm:4").Select(s => s.coef).FirstOrDefault() * fixData.cpc_mm;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_p:4").Select(s => s.coef).FirstOrDefault() * fixData.cpc_p;
double prob2 = Math.Exp(t2) / (1 + Math.Exp(t2) + Math.Exp(t3) + Math.Exp(t4));
double prob3 = Math.Exp(t3) / (1 + Math.Exp(t2) + Math.Exp(t3) + Math.Exp(t4));
double prob4 = Math.Exp(t4) / (1 + Math.Exp(t2) + Math.Exp(t3) + Math.Exp(t4));
double prob1 = 1 - prob2 - prob3 - prob4;
double[] maxProb = { prob1, prob2, prob3, prob4 };
var max = maxProb.Max();
var result = Array.IndexOf(maxProb, max);
log.Info("GetLogisticRegression data end :{0}", DateTime.Now);
return result + 1;
}
public float GetLinearRegression(DidiDBDetail detailData, DidiPerData fixData, LinearCoef LinearCoefData, int logisticRegression)
{
log.Info("GetLinearRegression data :{0}", DateTime.Now);
if (logisticRegression == 1 || logisticRegression == 3)
{
Dictionary<string, float > dicLinear = new Dictionary<string, float>();
string direction = logisticRegression == 1 ? "Increase" : "Decrease";
dicLinear = LinearCoefData.ListCoef.Where(w => w.promo_strgy == detailData.promo_strgy && w.keyword_cat == detailData.keyword_cat && w.direction == direction).Select(s => new { s.coef_name, s.coef }).ToDictionary(x => x.coef_name, x=>x.coef);
var ddd = LinearCoefData.ListCoef.Where(w => w.coef_type == 1).Select(s => s.coef).FirstOrDefault();
float f_per_p = dicLinear["click"] * fixData.click
+ dicLinear["imp"] * fixData.imp
+ dicLinear["conv"] * fixData.conv
+ dicLinear["roi"] * fixData.roi
+ dicLinear["imp_rank1"] * fixData.imp_rank1
+ dicLinear["pc_score"] * fixData.pc_score
+ dicLinear["ctr"] * fixData.ctr
+ dicLinear["ctr_ind"] * fixData.ctr_ind
+ dicLinear["cpc"] * fixData.cpc
+ dicLinear["cpc_ind"] * fixData.cpc_ind
+ dicLinear["d_spend_ind"] * fixData.d_spend_ind
+ dicLinear["cpc_limt_ind"] * fixData.cpc_limit_ind;
//float f_per_p = dicLinear["click"] * fixData.click;
//f_per_p = f_per_p + dicLinear["imp"] * fixData.imp;
//f_per_p = f_per_p + dicLinear["conv"] * fixData.conv;
//f_per_p = f_per_p + dicLinear["roi"] * fixData.roi;
//f_per_p = f_per_p + dicLinear["imp_rank1"] * fixData.imp_rank1;
// f_per_p = f_per_p + dicLinear["pc_score"] * fixData.pc_score;
//f_per_p = f_per_p + dicLinear["ctr"] * fixData.ctr;
//f_per_p = f_per_p + dicLinear["ctr_ind"] * fixData.ctr_ind;
//f_per_p = f_per_p + dicLinear["cpc"] * fixData.cpc;
//f_per_p = f_per_p + dicLinear["cpc_ind"] * fixData.cpc_ind;
//f_per_p = f_per_p + dicLinear["d_spend_ind"] * fixData.d_spend_ind;
//f_per_p = f_per_p + dicLinear["cpc_limt_ind"] * fixData.cpc_limit_ind;
log.Info("GetLinearRegression data end :{0}", DateTime.Now);
return f_per_p;
}
else
{
log.Info("GetLinearRegression data end nan :{0}", DateTime.Now);
return float.NaN;
}
}
// POST api/<controller>
public HttpResponseMessage Post(DidiDbData didi)
{
log.Info("get post request :{0}", DateTime.Now);
//取算法參數
Func func = new Func();
GetDataArgs gatArgs = new GetDataArgs();
LinearCoef LinearCoefData = gatArgs.GetDataArgsByFile();
LogitCoef LogitCoefData = gatArgs.GetLogitCoefArgsByFile();
log.Info("get file data :{0}", DateTime.Now);
try
{
var didiData = didi;
string sqlStr = "";
string didiToJson = JsonConvert.SerializeObject(didi);
//func.writeFile(didiToJson);
DidiPerData fixData = new DidiPerData();
List<DidiDBDetail> listDidiData = new List<DidiDBDetail>();
foreach (var di in didiData.dididbdetail)
{
if (di.promo_id == "203200334" && di.keyword == "电炉丝免邮资")
{
string asdadasdas = "asdasdas";
}
//click : 点击量
float click = di.click;
fixData.click = click;
//roi : 投入产出比
float roi = di.roi > 10000 ? 10000 : di.roi;
fixData.roi = roi;
//imp : 展现量
float imp = di.imp;
fixData.imp = imp;
//imp_rank1 : 调整后的平均展现排名
float imp_rank = float.IsNaN(di.imp_rank) ? 0 : di.imp_rank;
float imp_rank1 = 1 / imp_rank;
imp_rank1 = float.IsInfinity(imp_rank1) ? 0 : imp_rank1;
fixData.imp_rank1 = imp_rank1;
//pc_soire : 计算机质量分数
float pc_soire = di.pc_score;
fixData.pc_score = pc_soire;
//conv : 转化率
float conv = di.conv;
fixData.conv = conv;
//ctr : 点击率
float ctr = di.ctr;
fixData.ctr = ctr;
//ctr_ind : 点击率Index
float ctr_ind = 0;
float all_ctr = 0;
all_ctr = di.all_ctr == -1 ? float.NaN : di.all_ctr;
if (float.IsNaN(all_ctr))
{
ctr_ind = 1;
}
else
{
ctr_ind = di.ctr / all_ctr;
ctr_ind = float.IsNaN(ctr_ind) ? 1 : ctr_ind;
ctr_ind = float.IsInfinity(ctr_ind) ? 1000 : ctr_ind;
}
fixData.ctr_ind = ctr_ind;
//cpc : 平均点击花费
float cpc = di.cpc;
fixData.cpc = cpc;
//cpc_ind : 平均点击花费index
float cpc_ind = 0;
float all_price = 0;
all_price = di.all_price == -1 ? float.NaN : di.all_price;
if (float.IsNaN(all_price))
{
cpc_ind = 1;
}
else
{
cpc_ind = di.cpc / all_price;
cpc_ind = float.IsNaN(cpc_ind) ? 1 : cpc_ind;
cpc_ind = float.IsInfinity(cpc_ind) ? 1000 : cpc_ind;
}
fixData.cpc_ind = cpc_ind;
//d_limt_ind : 计画日限额index
float d_limt_ind = di.daily_limt / di.yes_cpc;
d_limt_ind = float.IsInfinity(d_limt_ind) ? 1000 : d_limt_ind;
d_limt_ind = di.daily_limt == 20000000 ? 1000 : d_limt_ind;
fixData.d_limt_ind = d_limt_ind;
//d_spend_ind : 计画花费index
float d_spend_ind = di.yes_spend / di.daily_limt;
fixData.d_spend_ind = d_spend_ind;
// cpc_limit_ind :平均点击花费限价index
float cpc_limit_ind = 0;
if (di.price_limt == 0)
{
cpc_limit_ind = 0;
}
else
{
if (di.cpc <= di.price_limt)
{
cpc_limit_ind = di.cpc / di.price_limt;
}
else
{
cpc_limit_ind = 1000;
}
}
cpc_limit_ind = float.IsNaN(cpc_limit_ind) ? 0 : cpc_limit_ind;
cpc_limit_ind = float.IsInfinity(cpc_limit_ind) ? 1000 : cpc_limit_ind;
fixData.cpc_limit_ind = cpc_limit_ind;
//price_limit_ind : 調價限價index
float price_limit_ind = 0;
if (di.price_limt == 0)
{
price_limit_ind = 0;
}
else
{
if (di.price_now <= di.price_limt)
{
price_limit_ind = di.price_now / di.price_limt;
}
else
{
price_limit_ind = 10;
}
}
price_limit_ind = float.IsNaN(price_limit_ind) ? 0 : price_limit_ind;
price_limit_ind = float.IsInfinity(price_limit_ind) ? 0 : price_limit_ind;
fixData.price_limit_ind = price_limit_ind;
//cpc_mm : 平均点击花费平均index
float cpc_mm = di.cpc / di.cat_cpc;
cpc_mm = float.IsNaN(cpc_mm) ? 0 : cpc_mm;
cpc_mm = float.IsInfinity(cpc_mm) ? 0 : cpc_mm;
fixData.cpc_mm = cpc_mm;
//cpc_p : 平均点击花费综合index
float cpc_p = di.cpc >= di.price_now ? 1 : 0;
float price_temp = di.price_now > di.price_limt ? 40 : 0;
float cpc_mm_temp = cpc_mm >= 0.5 ? 10 : 0;
cpc_p = cpc_p + price_temp + cpc_mm_temp;
cpc_p = float.IsNaN(cpc_p) ? 0 : cpc_p;
fixData.cpc_p = cpc_p;
//f_per_cat : 操作类型
int f_per_cat = 0;
switch (di.output)
{
case "加价":
f_per_cat = 1;
break;
case "删除":
f_per_cat = 2;
break;
case "减价":
f_per_cat = 3;
break;
case "保留":
f_per_cat = 4;
break;
}
fixData.f_per_cat = f_per_cat;
//f_per2 : 调价幅度(%)
float f_per2 = ((di.price_new - di.price_now) / di.price_now ) *100;
fixData.f_per2 = f_per2;
//f_per_cat_p : Migo操作类型预测
int f_per_cat_p_int = func.GetLogisticRegression(di, fixData, LogitCoefData);
string f_per_cat_p = "";
switch (f_per_cat_p_int)
{
case 1:
f_per_cat_p = "加价";
break;
case 2:
f_per_cat_p = "删除";
break;
case 3:
f_per_cat_p = "减价";
break;
default:
f_per_cat_p = "NA";
break;
}
di.f_per_cat_p = f_per_cat_p;
//f_per_p : Migo调价幅度预测
float f_per_p = func.GetLinearRegression(di, fixData, LinearCoefData, f_per_cat_p_int);
f_per_p = float.IsNaN(f_per_p) ? 0 : f_per_p;
di.f_per_p = f_per_p;
//寫DB
//func.InsertDb(di);
//寫SQL
sqlStr = sqlStr + "insert into sdata (plan_id, daily_limt, yes_spend, yes_cpc, cat_id, cat_name, cat_cpc, promo_id, promo_strgy, promo_item_cat, promo_imp, promo_click, promo_ctr, promo_tot_spend, promo_cpc, promo_rev, promo_amt, promo_saved, promo_conv, promo_roi, keyword, price_now, pc_score, mb_score, price_limt, keyword_cat, imp, click, ctr, tot_spend, cpc, rev, amt, saved, conv, roi, imp_rank, all_imp, all_click, all_price, all_ctr, all_compe, all_conv, keyword2, price_new, output, adj_p, f_per_cat_p, f_per_p)";
sqlStr = sqlStr + "VALUES (";
sqlStr = sqlStr + "'" + di.plan_id + "'," + di.daily_limt + "," + di.yes_spend + "," + di.yes_cpc + ",'" + di.cat_id + "','" + di.cat_name + "'," + di.cat_cpc + ",'" + di.promo_id + "','" + di.promo_strgy + "','" + di.promo_item_cat + "'," + di.promo_imp + "," + di.promo_click + "," + di.promo_ctr + "," + di.promo_tot_spend + "," + di.promo_cpc + "," + di.promo_rev + "," + di.promo_amt + "," + di.promo_saved + "," + di.promo_conv + "," + di.promo_roi + ",'" + di.keyword + "'," + di.price_now + "," + di.pc_score + "," + di.mb_score + "," + di.price_limt + ",'" + di.keyword_cat + "'," + di.imp + "," + di.click + "," + di.ctr + "," + di.tot_spend + "," + di.cpc + "," + di.rev + "," + di.amt + "," + di.saved + "," + di.conv + "," + di.roi + "," + di.imp_rank + "," + di.all_imp + "," + di.all_click + "," + di.all_price + "," + di.all_ctr + "," + di.all_compe + "," + di.all_conv + ",'" + di.keyword2 + "'," + di.price_new + ",'" + di.output + "'," + di.adj_p + ",'" + di.f_per_cat_p + "'," + di.f_per_p + ")";
sqlStr = sqlStr + "\n";
//SQL寫TXT
//func.writeFile(@"d:\dididididi.txt", sqlStr);
//string fileName = @"d:\" + DateTime.Now.ToString("yyyy_MM_dd_hh_mm_ss") + ".txt";
//string fileName = @"d:\dididididi4.txt";
//func.WriteLog(@fileName, sqlStr);
//func.InsertZMQ(sqlStr);
//一個寶貝的資料先存起來
listDidiData.Add(di);
}
//一個寶貝的資料先存起來，再一起進DB
func.InsertDb(listDidiData);
//SQL寫Queue
//func.IsertActiveQueue(sqlStr);
//func.IsertMSQueue(sqlStr);
//func.InsertNetMQ(sqlStr);
//SQL寫TXT
//func.WriteLog(@"d:\dididididiWriteLog.txt", sqlStr);
log.Info("response data :{0}", DateTime.Now);
string json = JsonConvert.SerializeObject(didiData);
//資料存下來
//func.writeFile(json);
var result = new HttpResponseMessage(HttpStatusCode.OK);
result.Content = new StringContent(json);
result.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
return result;
}
catch (Exception ex)
{
log.Error("error :{0}", ex.Message);
return null;
}
}