logplus/Workflow/WFEngine/WorkflowEngine/include/ModuleContainer.h
2026-01-16 17:18:41 +08:00

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/*
* ModuleContainer.h
*
* Created on: 2011-5-6
* Author: dev
*/
//TODO use composite pattern?
#ifndef PAI_FRAME_WORKFLOWENGINE_MODULECONTAINER_H
#define PAI_FRAME_WORKFLOWENGINE_MODULECONTAINER_H
#include <vector>
#include <map>
#include <algorithm>
#include "pb_gen/splitInfo.pb.h"
#include "MutiParallModule.h"
#include "ModuleContext.h"
#include "WorkflowContext.h"
#include "Log.h"
//#include "WorkflowJob.h"
#include "Thread.h"
#include "WorkflowRunner.h"
#include "ParameterItem.h"
#include "error.h"
//*************************模块参数Meta变量*****************************
#define MODULE_METADATA_IOMODULE_FILES "files"
#define MODULE_METADATA_IOMODULE_TRACESELECTION "traceselection"
#define MODULE_METADATA_IOMODULE_HASTRACESELECTION "hastraceselection"
#define MODULE_METADATA_IOMODULE_KEY "Key"
#define MODULE_METADATA_IOMODULE_START "Start"
#define MODULE_METADATA_IOMODULE_END "End"
#define MODULE_METADATA_IOMODULE_INCREMENT "Increment"
//********************************************************************
namespace pai {
namespace workflow {
using namespace pai::module;
using namespace std;
bool CompareModuleThread(CThread* one, CThread* another);
/**
* @brief ModuleContainer类用于描述工作流信息。
*
* @remark
* - 此类将以模板的形式展现,在提交作业时,工作流框架将自动从工作流文件中提取信息并填写上述信息以形成一个完整的工作流源代码
* - 此类主要负责:
* -- 构造工作流所对应的模块信息
* -- 模块之间的关系描述
* -- 检查模块参数配置的合法性
*
*/
class PAI_WORKFLOWENGINE_EXPORT ModuleContainer {
public:
ModuleContainer():module_threads(), workflow(), reduce(), isClusterJob(false), isReduce(false), context(), m_split(NULL)
{
};
ModuleContainer(bool clusterJob,bool p_reduce):module_threads(), workflow(), reduce(), isClusterJob(clusterJob), isReduce(p_reduce),\
context(), m_split(NULL)
{
};
ModuleContainer(const workflow_info& p_workflow):module_threads(), workflow(p_workflow), reduce(), isClusterJob(true), isReduce(false),\
context(), m_split(NULL)
{
}
ModuleContainer(const ReduceInfo& p_reduce):module_threads(), workflow(), reduce(p_reduce), isClusterJob(true), isReduce(true), \
context(), m_split(NULL)
{
}
void SetContextSplit(const string& key, google::protobuf::Message* splitObj){
context.Put(key, splitObj, false);
}
virtual ~ModuleContainer()
{
//clear threads
std::vector<CThread*> threads = GetAllModuleThreads();
for (size_t idx = 0; idx < threads.size(); idx++) {
if(threads.at(idx)) {
delete threads.at(idx);
threads.at(idx) = NULL;
}
}
};
/**@brief 初始化工作流模块信息,主要包括:
* @remark
* - 初始化工作流模块信息
* - 初始化各模块的参数信息
* - 将模块参数与对应模块相关联通过Module::SetModuleParameter()函数
* - 将模块信息加入到modules容器中
*/
virtual void Initialize()
{
//从配置context中取出job_db_id
std::string strDBJobId = context.Get<std::string>(pai::module::KEY_JOB_DB_ID);
long long dbJobId = 0;
std::stringstream changeStr;
changeStr << strDBJobId;
changeStr >> dbJobId;
this->context.Put(pai::module::KEY_DATABASE_ID, dbJobId, false);
//
if(isReduce)
{
pai::log::Logger::SetLogger(pai::log::Logger::GetJobLogger(strDBJobId, reduce.taskInfo.attempt_id));
InitializeReduce();
}else{
pai::log::Logger::SetLogger(pai::log::Logger::GetJobLogger(strDBJobId, workflow.taskInfo.attempt_id));
InitializeGeneral();
}
SortModuleThreads();
};
/**
* 此函数描述各模块之间的关系,主要包括:
* 1. 通过Module::AddNextModule()函数设置模块的前后关系
* 2. 通过Module::SetInputBuffer()和Module::SetOutputBuffer()设置模块之间的缓冲区信息
* 在设置模块的缓冲区信息时,应保证前一个模块的输出缓冲与后一个模块的输入缓冲共享
*/
virtual void DescribeRelation();
/**
* 初始化通用工作流
*/
void InitializeGeneral();
/**
*PSTM等并行模块Reduce方法
*/
void InitializeReduce();
/**
* 此函数检查各模块的参数合法性它将调用Module::validate()函数检查各模块参数配置的合法性
* 当所有的模块validate()函数返回值都为真时,此函数返回为真
* 只要有一个模块的validate()函数返回为假,此函数返回为假,在此请况下,工作流将不会被执行
*/
virtual bool CheckConfiguration(){
bool result = true;
for (size_t idx = 0; idx < module_threads.size() && result; idx++) {
CModuleCheckResult me(static_cast<int>(idx));
result &= module_threads.at(idx)->GetModule()->validate(me);
}
return result;
};
/**
* 判断所有的模块是否都执行结束,当所有的模块都执行结束时,此函数返回为真,此时工作流将退出执行
* 只要有一个模块还未执行结束,此函数返回为假,此时工作流主线程将会等待所有的模块都执行结束,然后退出
*/
virtual bool IsAllModuleFinished(){
bool result = true;
for (size_t idx = 0; idx < module_threads.size(); idx++ ) {
result &= module_threads.at(idx)->GetThreadStatus() == pai::workflow::EXIT;
}
return result;
};
void SetUp(){
for (size_t idx = 0; idx < module_threads.size(); idx++) {
pai::log::Info(module_threads.at(idx)->GetModule()->GetMetaData()->GetName() + " ready setup");
module_threads.at(idx)->GetModule()->SetUp();
pai::log::Info(module_threads.at(idx)->GetModule()->GetMetaData()->GetName() + " setup finished.");
}
}
const std::vector<CThread*> GetAllModuleThreads() const { return module_threads;}
/**
*通过运行时id查找Module
*/
CModule* FindModule(const std::string& runtime_id)
{
for (size_t idx = 0; idx < module_threads.size(); idx++) {
if(module_threads.at(idx)->GetModule()->GetModuleContext().module_runtime_id==runtime_id)
return module_threads.at(idx)->GetModule();
}
return NULL;
};
/**
*查找自己切片的模块
*/
CModuleSelfSplitSupport* FindSelfSplitModule()
{
for (size_t idx = 0; idx < module_threads.size(); idx++) {
CModule* module = module_threads.at(idx)->GetModule();
CModuleSelfSplitSupport* pModule = dynamic_cast<CModuleSelfSplitSupport*>(module);
if(pModule!=NULL)
return pModule;
}
return NULL;
};
/**
*查找多并行模块
*/
CMutiParallModule* FindMutiParallModule()
{
for (size_t idx = 0; idx < module_threads.size(); idx++) {
CModule* module = module_threads.at(idx)->GetModule();
CMutiParallModule* pModule = dynamic_cast<CMutiParallModule*>(module);
if(pModule!=NULL)
return pModule;
}
return NULL;
};
/**
*通过模块类名查找Module
*目前主要用于查找PSTMModule
*/
CModule* FindModuleByClassName(const std::string& moduleClassName)
{
for (size_t idx = 0; idx < module_threads.size(); idx++) {
if(module_threads.at(idx)->GetModule()->GetMetaData()->GetName()==moduleClassName)
return module_threads.at(idx)->GetModule();
}
return NULL;
};
/*
* @brief reset workflow paramitems
*/
void ResetParamItems()
{
if(!isReduce)
ResetGeneralParamItems();
else
ResetReduceParamItems();
};
/*
* @brief reset general workflow paramitems
*/
void ResetGeneralParamItems()
{
//TODO:设计不太好,General Workflow & Reduce Workflow需要在抽象一层
// 当是一个General Workflow时只能访问属于自己的对象
// 如:只能workflow object,不能访问reduce object
//Reset inputmodule
for(size_t i = 0 ;i < workflow.inputs.size();i++)
{
ResetInputParamItems(workflow.inputs.at(i));
}
//Reset outputmodule
for(size_t i = 0 ;i < workflow.outputs.size();i++)
{
ResetOutputParamItems(workflow.outputs.at(i));
}
//TODO:需要重构因为假设只有一个SelfSplitModule)
//if has slefsplit set->module
CModuleSelfSplitSupport* pModule = FindSelfSplitModule();
if((pModule!=NULL) && (m_split!=NULL)){
pModule->setSplit(m_split);
}
//if has CMutiParallModule,fill cluster parameters
//TODO:需要重构因为假设只有一个MutiParallModule)
CMutiParallModule* mutiParallModule = FindMutiParallModule();
if(mutiParallModule!=NULL){
mutiParallModule->SetCurrentPhase(pai::module::Map);
}
};
/*
* @brief reset reduce worklfow paramitems
*/
void ResetReduceParamItems()
{
//Reset outputmodule
for(size_t i = 0 ;i < reduce.outputs.size();i++)
{
ResetOutputParamItems(reduce.outputs.at(i));
}
//TODO:需要重构因为假设只有一个SelfSplitModule)
//if has slefsplit set->module
CModuleSelfSplitSupport* pModule = FindSelfSplitModule();
if((pModule!=NULL) && (m_split!=NULL)){
pModule->setSplit(m_split);
}
//if has CMutiParallModule,fill cluster parameters
//TODO:需要重构因为假设只有一个MutiParallModule)
CMutiParallModule* mutiParallModule = FindMutiParallModule();
if(mutiParallModule!=NULL){
mutiParallModule->SetCurrentPhase(pai::module::Reduce);
mutiParallModule->SetPreJobId(reduce.preJobId);
mutiParallModule->setParamItems(reduce.parameters);
}
};
void initModuleContext()
{
if(!isReduce)
initModuleContext(workflow.taskInfo);
else
initModuleContext(reduce.taskInfo);
};
void initModuleContext(const TaskInfo& taskInfo)
{
map<string, vector<string> > id2Branch;
GetBranch(id2Branch);
this->context.Put("job_id", taskInfo.job_id, false);
this->context.Put("hostname", taskInfo.hostname, false);
this->context.Put("task_id", taskInfo.attempt_id, false);
for (size_t idx = 0; idx < module_threads.size(); idx++)
{
/// deprecated begin
SModuleContext m_context = module_threads.at(idx)->GetModule()->GetModuleContext();
m_context.taskInfo = taskInfo;
m_context.module_runtime_env = "";
m_context.module_runtime_env.append("[");
m_context.module_runtime_env.append(taskInfo.hostname);
m_context.module_runtime_env.append("][");
m_context.module_runtime_env.append(taskInfo.attempt_id);
m_context.module_runtime_env.append("]");
module_threads.at(idx)->GetModule()->SetModuleContext(m_context);
/// deprecated end
if(id2Branch.count(m_context.module_runtime_id) > 0)
{
std::vector<std::string> branchs = id2Branch.find(m_context.module_runtime_id)->second;
//不能使用 module_threads.at(idx)->GetModule()->GetWorkflowContext().SetBranchs(branchs);
//GetModule()->GetWorkflowContext()返回一个const对象
context.branchs = branchs;
}else{
throw pai::error::runtime_error("not found branch in workflow!");
}
module_threads.at(idx)->GetModule()->SetWorkflowContext(this->context);
}
}
void GetBranch(map<string, vector<string> >& id2Branch)
{
vector<string> allBranchs;//存储所有分支
vector<string> tail;//存储分支的尾
map<string, vector<string>* > dest2Source;//存储detst-》【source。。。】
for(size_t i = 0; i<module_threads.size(); i++)
{
SModuleContext moduleContext = module_threads.at(i)->GetModule()->GetModuleContext();
id2Branch.insert(pair<string, vector<string> >(moduleContext.module_runtime_id, vector<string>()) );
if(moduleContext.module_indegree != 0)
{
dest2Source[moduleContext.module_runtime_id] = new vector<string>();
}
if(moduleContext.module_outdegree == 0)
{
tail.push_back(moduleContext.module_runtime_id);
}
int in_port = 0;
for(int indegree=0; indegree<moduleContext.module_indegree; indegree++)
{
//找到模块的输入buffer
CBuffer* input_buffer = NULL;
while(in_port < module_threads.at(i)->GetModule()->GetMetaData()->GetInputPortCount()
&& (input_buffer = module_threads.at(i)->GetModule()->GetInputBuffer(in_port++)) == NULL){}
//通过比较buffer是否相同找到这个模块的上游模块
for(size_t j = 0; j < module_threads.size(); j++)
{
SModuleContext moduleContext_tmp = module_threads.at(j)->GetModule()->GetModuleContext();
//模块有多个输出端口使用GetModule()->GetMetaData()->GetOutputPortCount()可以获取到,
//moduleContext_tmp.module_outdegree代表工作流中模块的实际输出个数
bool findEqualBuffer = false;
for(int outdegree = 0; outdegree < moduleContext_tmp.module_outdegree; outdegree++)
{
for(int out_port = 0; out_port < module_threads.at(j)->GetModule()->GetMetaData()->GetOutputPortCount(); out_port++)
{
if(input_buffer == module_threads.at(j)->GetModule()->GetOutputBuffer(out_port))
{
findEqualBuffer = true;
break;
}
}
if(findEqualBuffer){
dest2Source.find(moduleContext.module_runtime_id)->second->push_back(moduleContext_tmp.module_runtime_id);
break;
}
}
}
}
}
for(vector<string>::iterator it = tail.begin(); it < tail.end(); it++)
{
string workflowBranch;
TravBackwardConnect(*it, workflowBranch, dest2Source, allBranchs);
}
for(map<string, vector<string> >::iterator map_it = id2Branch.begin(); map_it != id2Branch.end(); map_it++)
{
string id = map_it->first;
for(vector<string>::iterator branchs_it = allBranchs.begin(); branchs_it != allBranchs.end(); branchs_it++)
{
if(branchs_it->substr(0, branchs_it->find_first_of("-")) == id || branchs_it->find("-"+id+"-") != string::npos
|| branchs_it->substr(branchs_it->find_last_of("-")+1) == id)
{
map_it->second.push_back(*branchs_it);
}
}
}
//print id2Branch
for(map<string, vector<string> >::iterator map_it = id2Branch.begin(); map_it != id2Branch.end(); map_it++)
{
string id = map_it->first;
vector<string> branchs = map_it->second;
std::cout<<"id is "<<id<<" [ ";
for(vector<string>::iterator v_it = branchs.begin(); v_it != branchs.end(); v_it++)
{
std::cout<<*v_it<<" ";
}
std::cout<<"]"<<std::endl;
}
for(map<string, vector<string>* >::iterator it = dest2Source.begin(); it != dest2Source.end(); it++)
{
delete it->second;
}
}
/**
* @brief 获取模块运行时工作流的上下文.
* @WARN 该上下文不允许被使用者释放,否则系统会崩溃
*/
WorkflowContext GetWorkflowContext() const
{
return context;
}
void SetModuleSelfSplit(Split* split){
m_split = split;
};
Split* GetModuleSelfSplit() const{
return m_split;
}
/**
* @brief 获取map中的key和value设置到context中
*/
void SetConfiguration(map<std::string,std::string>& config){
map<std::string,std::string>::iterator it;
for(it = config.begin(); it != config.end(); it++)
{
this->context.Put((*it).first, (*it).second, false);
}
}
protected:
std::vector<CThread*> module_threads;
workflow_info workflow;
ReduceInfo reduce;
bool isClusterJob;
bool isReduce;
private:
WorkflowContext context;
Split* m_split;
private:
ModuleContainer(const ModuleContainer & constainer);
ModuleContainer & operator=(const ModuleContainer & constainer);
/*
* @brief 添加child paramitem
* @param[in] parentNode 父节点
* @param[in] childNode 子节点
* @param[in] eType 参数项类型
* @param[in] eInputType 参数项输入类型
* @param[in] strId 参数项Id
* @param[in] strValue 参数项值
* @param[in] strName 参数项名称
* @param[in] strDescription 参数项描述
* @param[in] strDefault 参数项缺省值
* @param[in] strCategory 参数项分类
* @param[in] strMax 参数项最大值
* @param[in] strMin 参数项最小值
* @param[in] strInputMetaData 参数项输入控件的元数据
* @param[in] strInputData 参数项输入控件的控制数据
* @param[in] bNecessary 是否必填参数
*/
void AddParamItem(CCompositeParameterItem* parentNode,CParameterItem* childNode,
const ParameterType& eType,const ParameterInputType& eInputType,const std::string& strId,const std::string& strValue,
const std::string& strName,const std::string& strDescription,const std::string& strDefault,const std::string& strCategory,const std::string& strMax,const std::string& strMin,
const std::string& strInputMetaData,const std::string& strInputData,bool bNecessary)
{
AddParamItem(parentNode,childNode,
eType,eInputType,strId,strValue,
strName,strDescription,strDefault,strCategory,strMax,strMin,
strInputMetaData,strInputData,"","",bNecessary);
};
/*
* @brief 添加child paramitem
* @param[in] parentNode 父节点
* @param[in] childNode 子节点
* @param[in] eType 参数项类型
* @param[in] eInputType 参数项输入类型
* @param[in] strId 参数项Id
* @param[in] strValue 参数项值
* @param[in] strName 参数项名称
* @param[in] strDescription 参数项描述
* @param[in] strDefault 参数项缺省值
* @param[in] strCategory 参数项分类
* @param[in] strMax 参数项最大值
* @param[in] strMin 参数项最小值
* @param[in] strInputMetaData 参数项输入控件的元数据
* @param[in] strInputData 参数项输入控件的控制数据
* @param[in] strInOut 参数项输入输出类从
* @param[in] strDataType 参数项数据类型
* @param[in] bNecessary 是否必填参数
*/
void AddParamItem(CCompositeParameterItem* parentNode,CParameterItem* childNode,
const ParameterType& eType,const ParameterInputType& eInputType,const std::string& strId,const std::string& strValue,
const std::string& strName,const std::string& strDescription,const std::string& strDefault,const std::string& strCategory,const std::string& strMax,const std::string& strMin,
const std::string& strInputMetaData,const std::string& strInputData,const std::string& strInOut,const std::string& strDataType,bool bNecessary)
{
CParameterItem& parameterItem = *childNode;
parameterItem.SetType(eType);
parameterItem.SetInputType(eInputType);
parameterItem.SetId(strId);
parameterItem.SetStringValue(strValue);
parameterItem.SetName(strName);
parameterItem.SetDescription(strDescription);
parameterItem.SetDefault(strDefault);
parameterItem.SetCategory(strCategory);
parameterItem.SetMax(strMax);
parameterItem.SetMin(strMin);
parameterItem.SetInputMetaData(strInputMetaData);
parameterItem.SetInputData(strInputData);
parameterItem.SetIsNessary(bNecessary);
parameterItem.SetInOut(strInOut);
parameterItem.SetDataType(strDataType);
parentNode->AddParameterItem(parameterItem,false);
};
/*
* @brief 重新设置outputmodule paramitems
* @param output 重新设置的workflow_output_info
*/
void ResetOutputParamItems(const workflow_output_info& output)
{
CModule* outputmodule = FindModule(output.module_context_id);
if(NULL==outputmodule)
throw pai::error::logic_error("ModuleContainer::ResetOutputParamItems: workflow runtime don't find runtimeid=" + output.module_context_id);
CModuleParameter* param = outputmodule->GetModuleParameter();
//Reset filter
for(size_t i = 0 ;i < output.filters.size();i++)
{
RestOutputFilter(param,output.filters.at(i));
}
};
/**
* @brief 重新设置outputmodule参数项
* @param param outputmodule参数对象
* @param outFilter 重新设置的filter
*/
void RestOutputFilter(CModuleParameter* param,const workflow_output_filter& outFilter)
{
CParameterItem* fileNamesParamItem = GetParameterItemByRoot(param,outFilter.param_item_id);
fileNamesParamItem->SetStringValue(outFilter.filenames);
};
/**
* @brief 重新设置inputmodule参数项
* @param input 重新设置的workflow_input_info
*/
void ResetInputParamItems(const workflow_input_info& input)
{
CModule* inputmodule = FindModule(input.module_context_id);
if(NULL==inputmodule)
throw pai::error::logic_error("ModuleContainer::ResetInputParamItems: workflow runtime don't find runtimeid=" + input.module_context_id);
CModuleParameter* param = inputmodule->GetModuleParameter();
//add filters
for(size_t i = 0 ;i < input.modify_filters.size();i++)
{
ModifyInputFilter(param,input.modify_filters.at(i));
}
//del filters
//TODO:按照moduleapi parameteritem的设计对于删除数组元素时必须倒退着删除。
if(input.del_filters.size() > 0)
{
size_t del_index = input.del_filters.size() - 1;
for(size_t i = 0 ;i < input.del_filters.size();i++)
{
DelInputFilter(param,input.del_filters.at(del_index--));
}
}
};
/**
* @brief 删除inputmodule相关的参数项
* @param param 模块参数
* @param delFilter 删除的参数项filter
*/
void DelInputFilter(CModuleParameter* param,const workflow_del_input_filter& delFilter)
{
CCompositeParameterItem* filesParamItem = CastCCompositeParameterItem(GetParameterItemByRoot(param,MODULE_METADATA_IOMODULE_FILES));
bool bRemoveResult = filesParamItem->RemoveParameterItem(delFilter.param_item_id);
if(!bRemoveResult)
throw pai::error::logic_error("ModuleContainer::DelFilter: workflow runtime DelFilter remove paramitem error id=" + delFilter.param_item_id);
};
/**
* @brief 更改inputmodule参数项
* @param param 模块参数
* @param modifyFilter 修改的参数项filter
*/
void ModifyInputFilter(CModuleParameter* param,const workflow_modify_input_filter& modifyFilter)
{
std::string traceselection_id = MODULE_METADATA_IOMODULE_TRACESELECTION;
//判断是否有“files[*].traceselection”参数项如果没有则添加,而且必须设置files[*].hastraceselection=true.
if(modifyFilter.modify_filter_type==NO_FILTER)
{
//设置files[*].hastraceselection=true
std::string hastraceselection = modifyFilter.param_item_id + "." + MODULE_METADATA_IOMODULE_HASTRACESELECTION;
CParameterItem* hasTraceselectionParamItem = GetParameterItemByRoot(param,hastraceselection);
hasTraceselectionParamItem->SetValue(true);
CCompositeParameterItem* fileParamItem = CastCCompositeParameterItem(GetParameterItemByRoot(param,modifyFilter.param_item_id));
CCompositeParameterItem* fileTraceSelectionParamItem = CastCCompositeParameterItem(fileParamItem->GetParameterItem(traceselection_id));
if(fileTraceSelectionParamItem==NULL)
{
CParameterItem parentItem;
parentItem.SetId(traceselection_id);
parentItem.SetType(pai::module::ARRAY);
//this is deepcopy
fileParamItem->AddParameterItem(parentItem,true);
}
else{
//因为界面保存的workflwo.json时,存在不勾选HasTraceSelection,但是里面有过滤参数项的情况,
//因此必须要清除掉这些废弃子项这些过滤子项必须通过切片重新Add
fileTraceSelectionParamItem->Clear();
}
}
//是否是添加一个过滤参数项目modify_filter_type=0,1
if(modifyFilter.modify_filter_type==NO_FILTER
|| modifyFilter.modify_filter_type==NO_ORDER_KEY)
{
std::string file_traceselection_id = "";
if(modifyFilter.modify_filter_type==NO_FILTER)
file_traceselection_id = modifyFilter.param_item_id + "." + traceselection_id;
else
file_traceselection_id = modifyFilter.param_item_id;
//获取“files[*].traceselection”参数项
CCompositeParameterItem* parentItem = CastCCompositeParameterItem(GetParameterItemByRoot(param,file_traceselection_id));
//Add FilterRow
CCompositeParameterItem filterRow;
filterRow.SetId("");//IDID"[index]"
filterRow.SetType(pai::module::CUSTOM);//CUSTOM
//Add FilterRow Cell
//Key Item
CParameterItem keyItem;
keyItem.SetId(MODULE_METADATA_IOMODULE_KEY);
keyItem.SetType(pai::module::STRING);
keyItem.SetStringValue(modifyFilter.key);
filterRow.AddParameterItem(keyItem);//Name
//Start Item
CParameterItem startItem;
startItem.SetId(MODULE_METADATA_IOMODULE_START);
startItem.SetType(pai::module::STRING);
startItem.SetStringValue(modifyFilter.start);
filterRow.AddParameterItem(startItem);//Name
//End Item
CParameterItem endItem;
endItem.SetId(MODULE_METADATA_IOMODULE_END);
endItem.SetType(pai::module::STRING);
endItem.SetStringValue(modifyFilter.end);
filterRow.AddParameterItem(endItem);//Name
//Increment Item
CParameterItem incrementItem;
incrementItem.SetId(MODULE_METADATA_IOMODULE_INCREMENT);
incrementItem.SetType(pai::module::INT);
incrementItem.SetStringValue("1");//default=1
filterRow.AddParameterItem(incrementItem);//Name
//保证切片的第一关键字插入到第一行
parentItem->InsertParameterItem(0,filterRow);
}
else if(modifyFilter.modify_filter_type==HAS_ORDER__KEY)//直接切分用户设置的道集范围
{
//获取“files[*].traceselection[*]”参数项
CCompositeParameterItem* parentItem = CastCCompositeParameterItem(GetParameterItemByRoot(param,modifyFilter.param_item_id));
//Start Item
CParameterItem* startItem = GetParameterItemByParent(parentItem,MODULE_METADATA_IOMODULE_START);
startItem->SetStringValue(modifyFilter.start);
//End Item
CParameterItem* endItem = GetParameterItemByParent(parentItem,MODULE_METADATA_IOMODULE_END);
endItem->SetStringValue(modifyFilter.end);
}
};
/**
* @brief 通过paramItem(父亲节点),获取参数项
* @param paramItem 模块参数项
* @param param_item_id 参数项目id
* @return 如果获取成功,返回参数项对象否则抛出exception
*/
CParameterItem* GetParameterItemByParent(const CCompositeParameterItem* parentItem,const std::string& param_item_id)
{
CParameterItem* paramItem = parentItem->GetParameterItem(param_item_id);
if(paramItem==NULL)
throw pai::error::logic_error("ModuleContainer::GetParameterItemByParent: workflow runtime don't find paramitem id=" + param_item_id);
return paramItem;
};
/**
* @brief 转换param_item_id获取参数项
* @param param 模块参数
* @param param_item_id 参数项目id
* @return 如果获取成功,返回参数项对象否则抛出exception
*/
CParameterItem* GetParameterItemByRoot(CModuleParameter* param,const std::string& param_item_id)
{
CParameterItem* paramItem = param->GetParameterItem(param_item_id);
if(paramItem==NULL)
throw pai::error::logic_error("ModuleContainer::GetParameterItemByRoot: workflow runtime don't find paramitem id=" + param_item_id);
return paramItem;
};
/**
* @brief 转换CParameterItem* paramItem为CCompositeParameterItem
* @param paramItem 转换参数项
* @return 如果转换成功,返回转换后的对象否则抛出exception
*/
CCompositeParameterItem* CastCCompositeParameterItem(CParameterItem* paramItem)
{
CCompositeParameterItem* compositeParamItem = dynamic_cast<CCompositeParameterItem*>(paramItem);
if(compositeParamItem==NULL)
throw pai::error::logic_error("ModuleContainer::CastCCompositeParameterItem: workflow runtime CastCCompositeParameterItem exception");
return compositeParamItem;
};
/**
* 递归获取工作流中分支
*/
void TravBackwardConnect(string& id, string& workflowBranch, map<string, vector<string>* >& dest2Source, vector<string>& branchs)
{
workflowBranch += id+"-";
if(dest2Source.count(id) > 0)
{
vector<std::string>* backV = dest2Source.find(id)->second;
for(vector<std::string>::iterator it = backV->begin(); it < backV->end(); it++)
{
TravBackwardConnect((*it), workflowBranch, dest2Source, branchs);
workflowBranch = workflowBranch.substr(0, workflowBranch.size()-string((*it)+"-").size());
}
}
else
{
branchs.push_back(workflowBranch.substr(0, workflowBranch.size()-1));
}
}
void SortModuleThreads(){
sort(module_threads.begin(), module_threads.end(), CompareModuleThread);
#ifdef DEBUG
std::vector<CThread*> threads = this->GetAllModuleThreads();
std::cout << "--------------Sorted modules--------------" << std::endl;
for (size_t i = 0; i < threads.size(); i++)
{
std::cout << threads[i]->GetModule()->GetModuleContext().module_runtime_name
<< ":sortId=" << threads[i]->GetModule()->GetModuleContext().module_sort_id
<< " indegree=" << threads[i]->GetModule()->GetModuleContext().module_indegree
<< " outdegree=" << threads[i]->GetModule()->GetModuleContext().module_outdegree << std::endl;
}
#endif
};
public:
/**
* run all module's RunBeforeJob()
*/
void BeforeJob()
{
std::vector<CThread*> threads = this->GetAllModuleThreads();
for (size_t i = 0; i < threads.size(); i++)
{
pai::log::Info("......begin " + threads[i]->GetModule()->GetMetaData()->GetName() + " BeforeJob");
threads[i]->GetModule()->RunBeforeJob();
pai::log::Info("......end " + threads[i]->GetModule()->GetMetaData()->GetName() + " BeforeJob");
}
}
/**
* run all module's RunAfterJob()
*/
void AfterJob()
{
std::vector<CThread*> threads = this->GetAllModuleThreads();
for (size_t i = 0; i < threads.size(); i++)
{
pai::log::Info("......begin " + threads[i]->GetModule()->GetMetaData()->GetName() + " AfterJob");
threads[i]->GetModule()->RunAfterJob();
pai::log::Info( "......end " + threads[i]->GetModule()->GetMetaData()->GetName() + " AfterJob");
}
}
/**
* run all module's RunAfterJobAbort(is Failed)
*/
void AbortJob(const bool isFailed)
{
std::vector<CThread*> threads = this->GetAllModuleThreads();
for (size_t i = 0; i < threads.size(); i++)
{
pai::log::Info("......begin " + threads[i]->GetModule()->GetMetaData()->GetName() + " AbortJob");
threads[i]->GetModule()->RunAfterJobAbort(isFailed);
pai::log::Info( "......end " + threads[i]->GetModule()->GetMetaData()->GetName() + " AbortJob");
}
}
/**
* run all module's RunAfterTaskAbort
*/
void AbortTask()
{
std::vector<CThread*> threads = this->GetAllModuleThreads();
for (size_t i = 0; i < threads.size(); i++)
{
pai::log::Info("......begin " + threads[i]->GetModule()->GetMetaData()->GetName() + " AbortJob");
threads[i]->GetModule()->RunAfterTaskAbort();
pai::log::Info("......end " + threads[i]->GetModule()->GetMetaData()->GetName() + " AbortJob");
}
}
};
}
}
#endif