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analytics.go
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analytics.go
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package main
import (
"encoding/csv"
"fmt"
"github.com/nu7hatch/gouuid"
"github.com/vmihailenco/msgpack"
"labix.org/v2/mgo"
"os"
"strconv"
"time"
)
// AnalyticsRecord encodes the details of a request
type AnalyticsRecord struct {
Method string
Path string
ContentLength int64
UserAgent string
Day int
Month time.Month
Year int
Hour int
ResponseCode int
APIKey string
TimeStamp time.Time
APIVersion string
APIName string
APIID string
OrgID string
OauthID string
}
// AnalyticsError is an error for when writing to the storage engine fails
type AnalyticsError struct{}
func (e AnalyticsError) Error() string {
return "Recording request failed!"
}
// AnalyticsHandler is an interface to record analytics data to a writer.
type AnalyticsHandler interface {
RecordHit(AnalyticsRecord) error
}
// Purger is an interface that will define how the in-memory store will be purged
// of analytics data to prevent it growing too large
type Purger interface {
PurgeCache()
StartPurgeLoop(int)
}
// RedisAnalyticsHandler implements AnalyticsHandler and will record analytics
// data to a redis back end as defined in the Config object
type RedisAnalyticsHandler struct {
Store *RedisStorageManager
Clean Purger
}
// RecordHit will store an AnalyticsRecord in Redis
func (r RedisAnalyticsHandler) RecordHit(thisRecord AnalyticsRecord) error {
encoded, err := msgpack.Marshal(thisRecord)
u5, _ := uuid.NewV4()
keyName := fmt.Sprintf("%d%d%d%d-%s", thisRecord.Year, thisRecord.Month, thisRecord.Day, thisRecord.Hour, u5.String())
if err != nil {
log.Error("Error encoding analytics data:")
log.Error(err)
return AnalyticsError{}
}
r.Store.SetKey(keyName, string(encoded), 0)
return nil
}
// CSVPurger purges the in-memory analytics store to a CSV file as defined in the Config object
type CSVPurger struct {
Store *RedisStorageManager
}
// StartPurgeLoop is used as a goroutine to ensure that the cache is purged
// of analytics data (assuring size is small).
func (c CSVPurger) StartPurgeLoop(nextCount int) {
time.Sleep(time.Duration(nextCount) * time.Second)
c.PurgeCache()
c.StartPurgeLoop(nextCount)
}
// PurgeCache Will pull all the analytics data from the
// cache and drop it to a storage engine, in this case a CSV file
func (c CSVPurger) PurgeCache() {
curtime := time.Now()
fname := fmt.Sprintf("%s%d-%s-%d-%d-%d.csv", config.AnalyticsConfig.CSVDir, curtime.Year(), curtime.Month().String(), curtime.Day(), curtime.Hour(), curtime.Minute())
ferr := os.MkdirAll(config.AnalyticsConfig.CSVDir, 0777)
if ferr != nil {
log.Error(ferr)
}
outfile, _ := os.Create(fname)
defer outfile.Close()
writer := csv.NewWriter(outfile)
var headers = []string{"METHOD", "PATH", "SIZE", "UA", "DAY", "MONTH", "YEAR", "HOUR", "RESPONSE", "APINAME", "APIVERSION"}
err := writer.Write(headers)
if err != nil {
log.Error("Failed to write file headers!")
log.Error(err)
} else {
KeyValueMap := c.Store.GetKeysAndValues()
keys := []string{}
for k, v := range KeyValueMap {
keys = append(keys, k)
decoded := AnalyticsRecord{}
err := msgpack.Unmarshal([]byte(v), &decoded)
if err != nil {
log.Error("Couldn't unmarshal analytics data:")
log.Error(err)
} else {
toWrite := []string{
decoded.Method,
decoded.Path,
strconv.FormatInt(decoded.ContentLength, 10),
decoded.UserAgent,
strconv.Itoa(decoded.Day),
decoded.Month.String(),
strconv.Itoa(decoded.Year),
strconv.Itoa(decoded.Hour),
strconv.Itoa(decoded.ResponseCode),
decoded.APIName,
decoded.APIVersion}
err := writer.Write(toWrite)
if err != nil {
log.Error("File write failed!")
log.Error(err)
}
}
}
writer.Flush()
c.Store.DeleteKeys(keys)
}
}
// MongoPurger will purge analytics data into a Mongo database, requires that the Mongo DB string is specified
// in the Config object
type MongoPurger struct {
Store *RedisStorageManager
dbSession *mgo.Session
}
// Connect Connects to Mongo
func (m *MongoPurger) Connect() {
var err error
m.dbSession, err = mgo.Dial(config.AnalyticsConfig.MongoURL)
if err != nil {
log.Error("Mongo connection failed:")
log.Panic(err)
}
}
// StartPurgeLoop starts the loop that will be started as a goroutine and pull data out of the in-memory
// store and into MongoDB
func (m MongoPurger) StartPurgeLoop(nextCount int) {
time.Sleep(time.Duration(nextCount) * time.Second)
m.PurgeCache()
m.StartPurgeLoop(nextCount)
}
// PurgeCache will pull the data from the in-memory store and drop it into the specified MongoDB collection
func (m *MongoPurger) PurgeCache() {
if m.dbSession == nil {
log.Info("Not connected to analytics store, connecting...")
m.Connect()
m.PurgeCache()
} else {
analyticsCollection := m.dbSession.DB("").C(config.AnalyticsConfig.MongoCollection)
KeyValueMap := m.Store.GetKeysAndValues()
if len(KeyValueMap) > 0 {
keys := make([]interface{}, len(KeyValueMap), len(KeyValueMap))
keyNames := make([]string, len(KeyValueMap), len(KeyValueMap))
i := 0
for k, v := range KeyValueMap {
keyNames[i] = k
decoded := AnalyticsRecord{}
err := msgpack.Unmarshal([]byte(v), &decoded)
if err != nil {
log.Error("Couldn't unmarshal analytics data:")
log.Error(err)
} else {
keys[i] = interface{}(decoded)
}
i++
}
err := analyticsCollection.Insert(keys...)
if err != nil {
log.Error("Problem inserting to mongo collection")
log.Error(err)
} else {
m.Store.DeleteKeys(keyNames)
}
}
}
}