/*
* 离线模型请求串格式
* http://127.0.0.1:8080/predict?biz=[model name]&src=[hdfs/redis/stream]&dst=[local&json]
&pred=[hdfs file/redis key/instance strings]&debug=[off]&thd=[threshold]
src:待预测数据源为hdfs/local
dst:待预测数据输出到local和json
pred:待预测数据完整路径
*/
func (lan *Lands) predictServeHttp(w http.ResponseWriter, par *util.ModelParam) error {
lan.log4goline.Info("[Lands-predictServeHttp] Begin predicting...")
conn := lan.pool.Get()
defer conn.Close()
var predict_path string
base_path_prd := lan.conf.DataPathBase + par.Biz + "/prd/"
timestamp := time.Now().Format(TimeFormatString)
base_path_prdtime := base_path_prd + "/" + timestamp
err := util.Mkdir(base_path_prdtime)
if err != nil {
fmt.Fprintf(w, fmt.Sprintf(JsonError, "[Lands-predictServeHttp] make local directory error."+err.Error()))
return errors.New("[Lands-predictServeHttp] make local directory error." + err.Error())
}
base_path_ws := lan.conf.DataPathBase + par.Biz + "/on/workspace/"
//清理目录
lan.log4goline.Info("[Lands-predictServeHttp] Clear local directory.")
err = util.KeepLatestN(base_path_prd, 5)
if err != nil {
lan.log4goline.Warn("[Lands-onlineServeHttp] Clear local file error." + err.Error())
errors.New("[Lands-onlineServeHttp] Clear local file error." + err.Error())
}
//模型本地备份
err = util.CopyFile(base_path_ws+"model_bak.dat", base_path_ws+"model.dat")
if err != nil {
lan.log4goline.Error("[Lands-predictServeHttp] Online model write local error." + err.Error())
return errors.New("[Lands-predictServeHttp] Online model write local error." + err.Error())
}
//读取离线模型
//优先读取redis模型
lan.log4goline.Info("[Lands-predictServeHttp] Read model from redis.")
key := ModelPrefix + par.Biz
var encodemodel string
reply, err := redis.Values(conn.Do("MGET", key))
if err != nil {
lan.log4goline.Error(fmt.Sprintf("[Lands-predictServeHttp] Get model from redis error." + err.Error()))
} else {
if _, err := redis.Scan(reply, &encodemodel); err != nil {
lan.log4goline.Error(fmt.Sprintf("[Lands-onlineServeHttp] Open offline model from redis error." + err.Error()))
}
}
//从redis取到了模型
if len(encodemodel) != 0 {
fout, err := os.OpenFile(base_path_ws+"model.dat", os.O_TRUNC|os.O_WRONLY|os.O_CREATE, 0644)
defer fout.Close()
if err != nil {
lan.log4goline.Error("[Lands-predictServeHttp] Online model from redis write to local error." + err.Error())
}
fout.WriteString(encodemodel)
}
//挂载数据
lan.log4goline.Info("[Lands-predictServeHttp] Mount predicting data from local/hdfs/redis.")
if par.Src == "local" {
predict_path = base_path_prdtime + "/predict.dat"
err := util.CopyFile(predict_path, par.Predict)
if err != nil {
lan.log4goline.Error("[Lands-predictServeHttp] copy train data from local to local error." + err.Error())
return errors.New("[Lands-predictServeHttp] copy train data from local to local error." + err.Error())
}
} else if par.Src == "hdfs" {
client, err := lan.createHdfsClient()
if err != nil {
lan.log4goline.Error("[Lands-predictServeHttp] Create hdfs client error." + err.Error())
return errors.New("[Lands-predictServeHttp] Create hdfs client error." + err.Error())
}
predict_path = base_path_prdtime + "/predict.dat"
client.GetMerge(par.Predict, predict_path, false)
if err != nil {
lan.log4goline.Error("[Lands-predictServeHttp] Getmerge train data from hdfs to local error." + err.Error())
return errors.New("[Lands-predictServeHttp] Getmerge train data from hdfs to local error." + err.Error())
}
} else if par.Src == "redis" {
predict_path = base_path_prdtime + "/predict.dat"
//redis get with key
} else {
// run stream
instances := strings.Split(strings.TrimSpace(par.Predict), lan.conf.LineSpliter)
if len(instances) == 0 {
lan.log4goline.Error("[Lands-predictServeHttp] Streaming instances number error.")
return errors.New("[Lands-predictServeHttp] Streaming instances number error.")
}
json, err := predictor.StreamRun(base_path_ws+"model.dat", instances)
if err != nil {
lan.log4goline.Error("[Lands-predictServeHttp] Streaming predicting running error." + err.Error())
return errors.New("[Lands-predictServeHttp] Streaming predicting running error." + err.Error())
}
fmt.Fprintf(w, json)
lan.log4goline.Info("[Lands-predictServeHttp] End predicting.")
return nil
}
json, err := predictor.Run(3, []string{par.Biz + " predict " + timestamp, predict_path,
base_path_ws + "model.dat",
base_path_prdtime + "/predict_result.dat",
par.Threshold})
if err != nil {
lan.log4goline.Error("[Lands-predictServeHttp] Predicting running error." + err.Error())
return errors.New("[Lands-predictServeHttp] Predicting running error." + err.Error())
}
fmt.Fprintf(w, json)
lan.log4goline.Info("[Lands-predictServeHttp] End predicting.")
return nil
}
/*
* 离线模型请求串格式
* http://127.0.0.1:8080/offline?biz=[model name]&src=[hdfs/local]&dst=[redis&local&json]
&alpha=[0.1]&beta=[0.1]&l1=[10]&l2=[10]&dropout=[0.1]&epoch=[2]
&push=[push step]&fetch=[fetch step]&threads=[threads number]
&train=[train file name]&test=[test file name]&debug=[off]&thd=[threshold]
src:训练、测试数据源为hdfs/local
dst:模型输出到redis、local和json
train:训练数据完整路径
test:测试数据完整路径
*/
func (lan *Lands) offlineServeHttp(w http.ResponseWriter, par *util.ModelParam) error {
lan.log4goline.Info("[Lands-offlineServeHttp] Begin offline learning...")
conn := lan.pool.Get()
defer conn.Close()
var base_path_off, model_path, train_path, test_path string
var predict_path string
//建立模型训练本地路径
base_path_off = lan.conf.DataPathBase + par.Biz + "/off/"
timestamp := time.Now().Format(TimeFormatString)
err := util.Mkdir(base_path_off + "/" + timestamp)
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Offline model make local directory error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Offline model make local directory error." + err.Error())
}
base_path_on := lan.conf.DataPathBase + par.Biz + "/on/workspace"
err = util.Mkdir(base_path_on)
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Make online local workspace directory error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Make online local workspace directory error." + err.Error())
}
//挂载数据
lan.log4goline.Info("[Lands-offlineServeHttp] Mount training data.")
if par.Src == "hdfs" {
client, err := lan.createHdfsClient()
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Create hdfs client error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Create hdfs client error." + err.Error())
}
model_path = base_path_off + "/" + timestamp + "/model.dat"
train_path = base_path_off + "/" + timestamp + "/train.dat"
test_path = base_path_off + "/" + timestamp + "/test.dat"
predict_path = base_path_off + "/" + timestamp + "/predict.dat"
client.GetMerge(par.Train, train_path, false)
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Getmerge train data from hdfs to local error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Getmerge train data from hdfs to local error." + err.Error())
}
client.GetMerge(par.Test, test_path, false)
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Getmerge test data from hdfs to local error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Getmerge test data from hdfs to local error." + err.Error())
}
} else if par.Src == "local" {
model_path = base_path_off + "/" + timestamp + "/model.dat"
train_path = base_path_off + "/" + timestamp + "/train.dat"
test_path = base_path_off + "/" + timestamp + "/test.dat"
predict_path = base_path_off + "/" + timestamp + "/predict.dat"
err := util.CopyFile(train_path, par.Train)
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Copy train data from local to local error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Copy train data from local to local error." + err.Error())
}
err = util.CopyFile(test_path, par.Test)
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Copy test data from local to local error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Copy test data from local to local error." + err.Error())
} else {
lan.log4goline.Error("[Lands-offlineServeHttp] Training data source path error.")
return errors.New("[Lands-offlineServeHttp] Training data source path error.")
}
}
lan.log4goline.Info(fmt.Sprintf("[Lands-offlineServeHttp] Model path=%s,train path=%s, test path=%s\n",
model_path,
train_path,
test_path))
//训练数据格式检查及转换
lan.log4goline.Info("[Lands-offlineServeHttp] Check training data.")
_, err = lan.checkData(train_path)
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Check train data from local to local error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Check train data from local to local error." + err.Error())
}
lan.log4goline.Info("[Lands-offlineServeHttp] Check testing data.")
_, err = lan.checkData(test_path)
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Check test data from local to local error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Check test data from local to local error." + err.Error())
}
//数据抽样
if !util.UtilFloat64Equal(par.Sample, 1.0) && !util.UtilFloat64Equal(par.Sample, -1.0) {
lan.log4goline.Info("[Lands-offlineServeHttp] Training data sampling.")
err = util.FileSampleWithRatio(train_path, par.Sample)
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Train data sampling error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Train data sampling error." + err.Error())
}
}
//模型训练
lan.log4goline.Info("[Lands-offlineServeHttp] Offline model training.")
var fft trainer.FastFtrlTrainer
fft.SetJobName(par.Biz + " offline " + timestamp)
if !fft.Initialize(par.Epoch, par.Threads, true, 0, par.Push, par.Fetch) {
lan.log4goline.Error("[Lands-offlineServeHttp] Initialize ftrl trainer error")
return errors.New("[Lands-offlineServeHttp] Initialize ftrl trainer error.")
}
err = fft.Train(par.Alpha, par.Beta, par.L1, par.L2, par.Dropout, model_path,
train_path, test_path)
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Training model error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Training model error." + err.Error())
}
lan.log4goline.Info("[Lands-offlineServeHttp] Predict testing data.")
_, err = predictor.Run(3, []string{par.Biz + " offline " + timestamp, test_path,
model_path,
predict_path,
par.Threshold})
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Predicting model error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Predicting model error." + err.Error())
}
err = util.CopyFile(base_path_on+"/model.dat", base_path_off+"/"+timestamp+"/model.dat")
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Copy model error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Copy model error." + err.Error())
}
//清理目录
lan.log4goline.Info("[Lands-offlineServeHttp] Clear local directory." + base_path_off)
err = util.KeepLatestN(base_path_off, 5)
if err != nil {
lan.log4goline.Warn("[Lands-offlineServeHttp] Clear local file error." + err.Error())
errors.New("[Lands-offlineServeHttp] Clear local file error." + err.Error())
}
m, err := fft.ParamServer.SaveEncodeModel()
if err != nil {
lan.log4goline.Error("[Lands-offlineServeHttp] Save model error." + err.Error())
return errors.New("[Lands-offlineServeHttp] Save model error." + err.Error())
}
fmt.Fprintf(w, "%s", m)
//模型存入redis
lan.log4goline.Info("[Lands-offlineServeHttp] Write model to redis.")
if par.Dst == "redis" {
key := ModelPrefix + par.Biz
conn.Send("SET", key, m)
conn.Flush()
_, err := conn.Receive()
if err != nil {
lan.log4goline.Error(fmt.Sprintln("[Lands-offlineServeHttp] Save model to redis error." + err.Error()))
return errors.New("[Lands-offlineServeHttp] Save model to redis error." + err.Error())
}
}
lan.log4goline.Info("[Lands-offlineServeHttp] End offline learning.")
return nil
}