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分享一个《捕鱼》的客户端游戏

  今天一天用cocos2d做了一个捕鱼系统的demo,资源取自广为流传的android小游戏叫做年年有余,哎,无论叫做什么吧!之前是用android写的,今天一天用cocos2d从新写了一遍!大家可以用来做为学习cocos2d的demo,或者开发自己捕鱼系统的demo!

  先来几张效果图片:

  分享一个《捕鱼》的客户端游戏images/loading.gif' 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**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**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分享一个《捕鱼》的客户端游戏

  玩法很简单,用手按住鱼,鱼就被抓紧了网内,然后再网破掉之前,将鱼放到鱼缸!就这样!

  下面对代码进行解析:

  首先定义Fish类:

//Fish 头文件#pragma once#include "cocos2d.h"#include "cocos-ext.h"#include <vector>using namespace std;using namespace cocos2d;using namespace cocos2d::extension;class Fish : public CCSprite{public:	Fish(void);		~Fish(void);	bool init();	CCPoint getPoint();		void wander();	int get_score();	void setCoord(int x,int y);private:	int image_index ;		double coord_x;		double coord_y;	CCSprite* _image;	vector<CCTexture2D*> _textture_vec;	int fish_num;};//Fish 实现代码:#include "Fish.h"#include "GameStruct.h"Fish::Fish(void){	this->fish_num = rand()%3;	this->_image = NULL;	this->coord_x = rand()%200;	this->coord_y = rand()%200;	this->image_index = 0;}Fish::~Fish(void){}bool Fish::init(){	CCSprite::init();	this->_image = CCSprite::create(fish_image[this->fish_num][0].c_str());	this->setContentSize(CCSize(60,16));	this->_image->setPosition(CCPoint(30,8));	this->addChild(this->_image);		for(int i = 0;i<3;i++)	{		CCSprite * temp_obj = CCSprite::create(fish_image[this->fish_num][i].c_str()); 		CCTexture2D *hero_hit = temp_obj->getTexture(); 		this->_textture_vec.push_back(hero_hit);	}	return true;}void Fish::setCoord(int x,int y){	this->coord_x = x;	this->coord_y = y;}int Fish::get_score(){	return this->image_index*2 + 1;}void Fish::wander(){	this->image_index ++;	if(this->image_index >= 3)	{		this->image_index = 0;	}	this->_image->setTexture(this->_textture_vec.at(this->image_index));	float degrees = rand()/rand();	this->setRotation(degrees);	int len = 6;	double len_x = len*sin(degrees);	double len_y = len*cos(degrees);	this->coord_x += len_y;	this->coord_y += len_x;}CCPoint Fish::getPoint(){	return CCPoint(coord_x,coord_y);}

   Fish,就是鱼,继承自CCSprite,最终要的一个函数就是wander();用来实现鱼在鱼池中游荡!首先先随机出一个角度来,然后再对Fish进行旋转(rotate),然后再向着头部的防线行走!更新x,y坐标!再移动的同时,要不断变换鱼的图片,因为尾巴要不断的摆动吗!

  然后就是FishNet类,故名思议,渔网类

//头文件#pragma once#include "cocos2d.h"#include "cocos-ext.h"#include "Fish.h"#include <vector>using namespace std;using namespace cocos2d;using namespace cocos2d::extension;class HelloWorld;#define FIS.NETSIZE	CCSize(90,90)class FishNet :	public CCSprite{public:	FishNet(HelloWorld* scene);	~FishNet(void);	bool init();	void add_fish(Fish* fish);	void reset();	void update(float tick);	void enable();	void disable();	bool is_enable();	void scatter();	void recycle();private:	int _image_index;	CCSprite* _image;	vector<CCTexture2D*> _textture_vector;	vector<Fish*> fish_vect;	bool _enable;	HelloWorld* _scene;};//实现代码#include "FishNet.h"#include "HelloWorldScene.h"#include "GameStruct.h"FishNet::FishNet(HelloWorld* scene){	this->_image = NULL;	this->_image_index = 0;	this->_enable = false;	this->_scene = scene;}FishNet::~FishNet(void){}void FishNet::reset(){	this->_image_index = 0;}bool FishNet::init(){	CCSprite::init();	this->setContentSize(FISHNETSIZE);	this->_image = CCSprite::create("fish_net0.png");	this->_image->setPosition(CCSize(FISHNETSIZE.width/2,FISHNETSIZE.height/2));	this->addChild(this->_image);	for(int i=0;i<7;i++)	{		CCSprite* image = CCSprite::create(fish_net_image[i].c_str());		CCTexture2D *textture = image->getTexture();		this->_textture_vector.push_back(textture);	}	return true;}void FishNet::add_fish(Fish* fish){	fish->setPosition(CCSize(FISHNETSIZE.width/2,FISHNETSIZE.height/2));	this->fish_vect.push_back(fish);	this->addChild(fish);}void FishNet::scatter(){	for(vector<Fish*>::iterator iter = this->fish_vect.begin();iter != this->fish_vect.end();iter++)	{		this->removeChild(*iter,true);		//(*iter)->setPosition(this->getPosition());		(*iter)->setCoord(this->getPositionX(),this->getPositionY());		this->_scene->generate_fish(*iter);			}	this->fish_vect.clear();}void FishNet::recycle(){	if(this->is_enable())	{		for(vector<Fish*>::iterator iter = this->fish_vect.begin();iter != this->fish_vect.end();iter++)		{			this->removeChild(*iter,true);			this->_scene->add_score((*iter)->get_score());		}		this->fish_vect.clear();	}}void FishNet::update(float tick){	this->_image_index ++;	if(this->_image_index == 7)	{		this->_image_index = 0;		this->disable();		return ;	}	this->_image->setTexture(this->_textture_vector.at(this->_image_index));}void FishNet::enable(){	this->_enable = true;}void FishNet::disable(){	this->_enable = false;	this->scatter();	this->_scene->recycle_fish_net();}bool FishNet::is_enable(){	return this->_enable;}

    FIshNet同样继承子CCSprite,几个注意的点:update函数,不断更新渔网的状态!scatter函数,当渔网破裂时,要将渔网里面的鱼全部释放掉!recycle,当渔网达到鱼缸时,并且渔网还没有破裂,那么玩家要得分!

  下面是最核心的HelloWorld类,其实更加应该称为池塘类,但是以为是在HelloWorld那个工程上修改了,所以就没有调整!HelloWorld继承子CCLayer!

  

#ifndef __HELLOWORLD_SCENE_H__#define __HELLOWORLD_SCENE_H__#include "cocos2d.h"#include "cocos-ext.h"#include "Fish.h"#include "FishNet.h"#include <vector>#define FONT_NAME_DEFAULT	"msyh"#define FONT_SIZE_24	24using namespace std;using namespace cocos2d;class HelloWorld : public cocos2d::CCLayerColor,public CCTouchDelegate{public:   virtual bool init();   static cocos2d::CCScene* scene();    void menuCloseCallback(CCObject* pSender);	void reset();	void add_score(int inc);	void update(float tick);    CREATE_FUNC(HelloWorld);	void random_generate_fish();	void generate_fish(Fish* fish);	void recycle_fish(Fish* fish);	void recycle_fish_net();	virtual void ccTouchesBegan(CCSet *pTouches, CCEvent *pEvent);	//处理用户按下事件  virtual void ccTouchesMoved(CCSet *pTouches, CCEvent *pEvent);  //处理Touch Move 事件  virtual void ccTouchesEnded(CCSet *pTouches, CCEvent *pEvent);		//处理用户放开事件  virtual void ccTouchesCancelled(CCSet *pTouches, CCEvent *pEvent);	 //处理Touch被打断事件,如来电话了。private:	int score;	vector<Fish*> fish_vec;	FishNet* fish_net;	CCLabelTTF* score_hint;	CCLabelTTF* score_label;};#endif // __HELLOWORLD_SCENE_H__#include "HelloWorldScene.h"#include <math.h>USING_NS_CC;CCScene* HelloWorld::scene(){  // 'scene' is an autorelease object  CCScene *scene = CCScene::create();    // 'layer' is an autorelease object  HelloWorld *layer = HelloWorld::create();  // add layer as a child to scene  scene->addChild(layer);  // return the scene  return scene;}bool HelloWorld::init(){  	if(! CCLayerColor:: initWithColor(ccc4(255, 255, 255,255)))	{		return false;	}    CCSize visibleSize = CCDirector::sharedDirector()->getVisibleSize();  CCPoint origin = CCDirector::sharedDirector()->getVisibleOrigin();	CCScale9Sprite* board = CCScale9Sprite::create("board.png");	board->setPosition(CCSize(visibleSize.width/2,20));	this->addChild(board);	this->score_hint = CCLabelTTF::create("score : ","Arial",20.0);	this->score_hint->setPosition(CCSize(visibleSize.width - 100,20));	this->addChild(this->score_hint);	this->score_label = CCLabelTTF::create("0","Arial",20.0);	this->score_label->setPosition(CCSize(this->score_hint->getPositionX() + 70,20));	this->addChild(this->score_label);		CCScale9Sprite* tank = CCScale9Sprite::create("fish_tank.png");	tank->setPosition(CCSize(30,30));	this->addChild(tank);	for(int i=0;i<10;i++)	{		Fish* fish = new Fish();		fish->init();		fish->setPosition(fish->getPoint());		this->addChild(fish);		this->fish_vec.push_back(fish);	}	this->setTouchEnabled(true);	CCDirector::sharedDirector()->getTouchDispatcher()->addTargetedDelegate(this, 0, true);	this->fish_net = new FishNet(this);	this->fish_net->init();	this->schedule(schedule_selector(HelloWorld::update),0.2);	this->score = 0;  return true;}void HelloWorld::reset(){	this->score = 0;}void HelloWorld::add_score(int inc){	this->score += inc;	CCString* str = CCString::createWithFormat("%d",this->score);	this->score_label->setString(str->getCString());}void HelloWorld::update(float tick){	CCSize visibleSize = CCDirector::sharedDirector()->getVisibleSize();	int generate_cnt = 0;	for(vector<Fish*>::iterator iter = this->fish_vec.begin();iter != this->fish_vec.end();iter++)	{		Fish* fish = *iter;		fish->wander();		fish->setPosition(fish->getPoint());				if(fish->getPositionX() > visibleSize.width || fish->getPositionY() > visibleSize.height)		{			iter = this->fish_vec.erase(iter);			this->removeChild(fish,true);			generate_cnt++;		}	}	for(int i=0;i<generate_cnt;i++)	{		random_generate_fish();	}	if(this->fish_net->is_enable())	{		this->fish_net->update(tick);	}}void HelloWorld::random_generate_fish(){	Fish* fish = new Fish();	fish->init();	fish->setPosition(fish->getPoint());	this->addChild(fish);	this->fish_vec.push_back(fish);}void HelloWorld::generate_fish(Fish* fish){	this->fish_vec.push_back(fish);	this->addChild(fish);}void HelloWorld::recycle_fish(Fish* fish){	this->removeChild(fish,true);}void HelloWorld::recycle_fish_net(){	this->removeChild(this->fish_net,true);}void HelloWorld::ccTouchesBegan(CCSet *pTouches, CCEvent *pEvent){		CCSetIterator it = pTouches->begin();   CCTouch* touch = (CCTouch*)(*it);	CCPoint point = convertTouchToNodeSpace(touch);		this->fish_net->reset();	this->fish_net->enable();	this->fish_net->setPosition(point);	this->addChild(this->fish_net);	for(vector<Fish*>::iterator iter = this->fish_vec.begin();iter != this->fish_vec.end();)	{		Fish* fish = *iter;		if(abs(fish->getPositionX() - point.x) <= 15 &&			abs(fish->getPositionY() - point.y) <= 15)		{			iter = this->fish_vec.erase(iter);			this->removeChild(fish,true);			this->fish_net->add_fish(fish);			continue;		}		iter++;	}	}void HelloWorld::ccTouchesMoved(CCSet *pTouches, CCEvent *pEvent){	CCSetIterator it = pTouches->begin();   CCTouch* touch = (CCTouch*)(*it);	CCPoint point = convertTouchToNodeSpace(touch);	this->fish_net->setPosition(point);		if(this->fish_net->is_enable())	{		if(this->fish_net->getPositionX() < 90 && this->fish_net->getPositionY() < 90)		{			this->fish_net->recycle();			this->fish_net->disable();		}	}}void HelloWorld::ccTouchesEnded(CCSet *pTouches, CCEvent *pEvent){	this->fish_net->disable();	}void HelloWorld::ccTouchesCancelled(CCSet *pTouches, CCEvent *pEvent) {}void HelloWorld::menuCloseCallback(CCObject* pSender){#if (CC_TARGET_PLATFORM == CC_PLATFORM_WINRT) || (CC_TARGET_PLATFORM == CC_PLATFORM_WP8)	CCMessageBox("You pressed the close button. Windows Store Apps do not implement a close button.","Alert");#else  CCDirector::sharedDirector()->end();#if (CC_TARGET_PLATFORM == CC_PLATFORM_IOS)  exit(0);#endif#endif}

   代码中几个函数体现的很明显了!1:random_generate_fish:不断的随机产生新的鱼;update : 心跳函数,每秒执行5次,不断验证是否有鱼出界,如果出界就回收掉!不断判断渔网是否到达鱼缸,如果到达就回收掉渔网里面的鱼儿,并且给玩家加分! 不断验证渔网是否破坏掉,如果已经损坏,就将渔网里面的鱼放到池塘里面去!

  感兴趣的,可以问我要整个工程,原android版的也有!另外太久不写C++了,命名和stl有点生疏了!

  希望对大家有帮助,原android工程的年年有余项目,大家也可以找我!

  




原标题:分享一个《捕鱼》的客户端游戏

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