我是Grails的新人。我正在使用Mahout Recommender Plugin来创建推荐引擎。我正在关注这个tutorial。这对我来说可以。
现在我想做什么,我只想使用后台作业执行此Mahout推荐。因此,用户可以根据自己喜欢的内容自动推荐。我正在使用Quartz 2.x Scheduler进行后台作业。如何使用Mahout作为后台作业?
在这个tutorial中,你可以看到我创建了一个PrefrenceController.groovy,我在其中添加了userID,itemID和prefrence number。
我的Prefrence.groovy域类文件 -
package com.rbramley.mahout
import org.apache.commons.lang.builder.HashCodeBuilder
class Preference implements Serializable {
long userId
long itemId
float prefValue
static constraints = {
userId()
itemId()
prefValue range: 0.0f..5.0f
}
boolean equals(other) {
if(!(other instanceof Preference)) {
return false
}
other.userId == userId && other.itemId == itemId
}
int hashCode() {
def builder = new HashCodeBuilder()
builder.append userId
builder.append itemId
builder.toHashCode()
}
static mapping = {
id composite: ['userId', 'itemId']
version false
}
}
和我的PrefrenceController.groovy
package com.rbramley.mahout
import org.springframework.dao.DataIntegrityViolationException
class PreferenceController {
static allowedMethods = [save: "POST", update: "POST", delete: "POST"]
def index() {
redirect(action: "list", params: params)
}
def list(Integer max) {
params.max = Math.min(max ?: 10, 100)
[preferenceInstanceList: Preference.list(params), preferenceInstanceTotal: Preference.count()]
}
def create() {
[preferenceInstance: new Preference(params)]
}
def save() {
def preferenceInstance = new Preference(params)
if (!preferenceInstance.save(flush: true)) {
render(view: "create", model: [preferenceInstance: preferenceInstance])
return
}
flash.message = message(code: 'default.created.message', args: [message(code: 'preference.label', default: 'Preference'), preferenceInstance.id])
redirect(action: "show", id: preferenceInstance.id)
}
def show(Long id) {
def preferenceInstance = Preference.get(id)
if (!preferenceInstance) {
flash.message = message(code: 'default.not.found.message', args: [message(code: 'preference.label', default: 'Preference'), id])
redirect(action: "list")
return
}
[preferenceInstance: preferenceInstance]
}
def edit(Long id) {
def preferenceInstance = Preference.get(id)
if (!preferenceInstance) {
flash.message = message(code: 'default.not.found.message', args: [message(code: 'preference.label', default: 'Preference'), id])
redirect(action: "list")
return
}
[preferenceInstance: preferenceInstance]
}
def update(Long id, Long version) {
def preferenceInstance = Preference.get(id)
if (!preferenceInstance) {
flash.message = message(code: 'default.not.found.message', args: [message(code: 'preference.label', default: 'Preference'), id])
redirect(action: "list")
return
}
if (version != null) {
if (preferenceInstance.version > version) {
preferenceInstance.errors.rejectValue("version", "default.optimistic.locking.failure",
[message(code: 'preference.label', default: 'Preference')] as Object[],
"Another user has updated this Preference while you were editing")
render(view: "edit", model: [preferenceInstance: preferenceInstance])
return
}
}
preferenceInstance.properties = params
if (!preferenceInstance.save(flush: true)) {
render(view: "edit", model: [preferenceInstance: preferenceInstance])
return
}
flash.message = message(code: 'default.updated.message', args: [message(code: 'preference.label', default: 'Preference'), preferenceInstance.id])
redirect(action: "show", id: preferenceInstance.id)
}
def delete(Long id) {
def preferenceInstance = Preference.get(id)
if (!preferenceInstance) {
flash.message = message(code: 'default.not.found.message', args: [message(code: 'preference.label', default: 'Preference'), id])
redirect(action: "list")
return
}
try {
preferenceInstance.delete(flush: true)
flash.message = message(code: 'default.deleted.message', args: [message(code: 'preference.label', default: 'Preference'), id])
redirect(action: "list")
}
catch (DataIntegrityViolationException e) {
flash.message = message(code: 'default.not.deleted.message', args: [message(code: 'preference.label', default: 'Preference'), id])
redirect(action: "show", id: id)
}
}
}
假设我在数据库中手动添加了一些数据。现在,当用户点击RecommendController并输入特定的用户ID时,它将显示推荐。但我想把它作为背景工作。 建议应自动建议所有用户,无需任何人为干预。
答案 0 :(得分:0)
如果我理解了您的问题,您需要一个按需作业,您可以从控制器运行它。为此,创建一个没有任何触发器的作业,然后您可以从Controller手动触发它并将参数传递给它。这将在后台触发作业。在执行中定义作业需要执行的操作,您还可以将所需的任何服务注入该作业。
控制器:
BackgroundJob.triggerNow([id:params.id,userId:userId])
工作
class BackgroundJob {
static triggers = {}
def execute(context) {
def id = context.mergedJobDataMap.get('id')
def userId = context.mergedJobDataMap.get('userId')
...
}
}