本文主要介绍了如何使用truffle + Atom
进行拍卖环节2:报酬计算智能合约的编写,以及如何使用ganache-cli
进行智能合约的交互测试。
1 Trueffle框架编写代码
相关细节可以查看另一篇文章以太坊公开拍卖智能合约(truffle + ganache-cli)。本文主要介绍合约实现,以及一些新的点。
1.1 建立项目
PS H:\TestContract> mkdir ReverseAuction2
PS H:\TestContract\ReverseAuction> cd contracts
PS H:\TestContract\ReverseAuction\contracts> truffle create contract ReverseAuction
-
\contracts
:存放智能合约源代码的地方,可以看到里面已经有一个sol
文件,我们开发的ReverseAuction.sol
文件就存放在这个文件夹。 -
\migrations
:这是Truffle
用来部署智能合约的功能,待会儿我们会新建一个类似1_initial_migration.js
的文件来部署ReverseAuction.sol
。 -
\test
:测试智能合约的代码放在这里,支持js
与sol
测试。 -
truffle-config.js
和truffle.js
:Truffle
的配置文件,需要配置要连接的以太坊网络。
1.2 创建合约
需求:
在上一篇文章的基础上,实现一个拍卖协议,在该协议中,每个用户可以提交自己的出价。
根据边际成本排序,每次选择边际成本最低的报价,直到所有的任务被包含。
得到所有的胜利者后,对每一个胜利Bid
进行critical payment,给出对应的报酬。
详细算法可以看参考文献[1]。
pragma solidity ^0.4.22;
contract ReverseAuction {
struct Bid{
address id; // identity of employee
uint k; // k-th bid of user i
// bool selected; // whether it is selected
uint[] Q; // a subset of sensing tasks that employees are willing to sense
uint bid; // corresponding bid
uint increaseR;
}
/*
struct winnerPay {
Bid winnerBid;
Bid criticalBid;
uint pay;
}
*/
uint[] public tasks; // published tasks
address public provider; // task provider
uint public amount; // amount of tasks
//mapping (address => Bid[]) public bids; // mapping from address to bid
// mapping (address => Bid[]) public selected_bids; // winning bids
// 1. for winner selection
Bid[] public bids;
Bid[] public selected_bids;
uint public selected_bids_num;
Bid[] public backup_bids;
uint[] public currentQ; // tasks set currently included in the selected bids
uint public utility; // social welfare
// 2. for critical payment
// winnerPay[] public winnerPays; // critical payments
Bid[] public bids_i; // all bids except bid i
// Bid criticalBid;
uint[] public winnerPays; // critical pays
uint[] public Q_; // currentQ using in Bid_i
uint[] public diffNums;
uint public pay;
event AuctionEnded(uint utility); // auction end event
constructor(address _provider) {
provider = _provider;
amount = 0;
selected_bids_num = 0;
utility = 0;
}
function setTasks(uint _amount, uint[] _tasks) public {
amount = _amount;
tasks = new uint[](_amount);
for (uint i = 0; i < amount; i++){
tasks[i] = _tasks[i];
}
}
function getTasks() constant public returns(uint[]){
return tasks;
}
function addBid(uint _k, uint[] _Q, uint _bid) public {
// uint length = _Q.length;
require(_Q.length > 0 && _bid > 0);
bids.push(Bid({id: msg.sender, k: _k, Q: _Q, bid: _bid, increaseR: 0}));
}
function getAllBidsNum() constant public returns (uint) {
return bids.length;
}
function getAllBids(uint index) constant public returns(address, uint, uint[], uint, uint) {
return (bids[index].id, bids[index].k, bids[index].Q, bids[index].bid, bids[index].increaseR);
}
function getBackupBids(uint index) constant public returns(address, uint, uint[], uint, uint) {
return (backup_bids[index].id, backup_bids[index].k, backup_bids[index].Q, backup_bids[index].bid, backup_bids[index].increaseR);
}
function getSocialWelfare() constant public returns (uint) {
return utility;
}
function getSelectedBidsNum() constant public returns(uint) {
return selected_bids.length;
}
function getSelectedBids(uint index) constant public returns(address, uint, uint[], uint, uint) {
return (selected_bids[index].id, selected_bids[index].k, selected_bids[index].Q, selected_bids[index].bid, selected_bids[index].increaseR);
}
function getCurrentQNum() constant public returns (uint) {
return currentQ.length;
}
function getCriticalPay(uint index) constant public returns(uint) {
return winnerPays[index];
}
function getBids_iNum() constant public returns (uint) {
return bids_i.length;
}
function getBids_i(uint index) constant public returns(address, uint, uint[], uint, uint) {
return (bids_i[index].id, bids_i[index].k, bids_i[index].Q, bids_i[index].bid, bids_i[index].increaseR);
}
function getBids_i_Q(uint index) constant public returns(uint[]) {
return bids_i[index].Q;
}
function getQ_() constant public returns(uint[]) {
return Q_;
}
function getDiffNums() constant public returns(uint[]) {
return diffNums;
}
function pay_copy() public {
copyBids(bids_i, backup_bids);
}
function pay_getBid_i(uint i) public {
getBidsExceptBid_i(selected_bids[i], bids_i);
}
function pay_payforBid(uint i) public{
pay = payForBid(selected_bids[i], bids_i, selected_bids);
}
function selectWinners() public returns (uint[]) {
require(bids.length != 0 && currentQ.length != amount);
backupAllBids();
while (currentQ.length != amount) {
// compute r(bid) for each bid
computeIncreaseR(bids, currentQ);
if (bids.length == 0) break;
// sort increaseR in nondecreasing order
// and return the top bid
sortBidByIncreaseR(bids, int(0), int(bids.length-1));
// increasing order
Bid memory bid = Bid({id: bids[0].id, k: bids[0].k, Q: bids[0].Q, bid:bids[0].bid, increaseR: bids[0].increaseR});
selected_bids.push(bid);
selected_bids_num++;
utility += bid.bid;
// find union of currentQ and bid.Q, then put into the currentQ
setUnion(currentQ, bid.Q);
// remove the selected bid from B
removeBid(0, bids);
// delete bids that conflict with the selected bid
deleteConflictBids(bid);
}
return currentQ;
}
function criticalPay(uint i) public returns (uint){
// delete bids_i;
// bids_i = backup_bids; // bids has changed in winner selection process
copyBids(bids_i, backup_bids);
getBidsExceptBid_i(selected_bids[i], bids_i); // get bids excpet bid i
// critical pay for bid i
// delete criticalBid;
uint _pay = payForBid(selected_bids[i], bids_i, selected_bids);
winnerPays.push(_pay);
/*
if (_pay == selected_bids[i].bid) {
criticalBid = selected_bids[i];
}
winnerPays.push(winnerPay({winnerBid: selected_bids[i], criticalBid: criticalBid, pay: _pay}));
*/
return _pay;
}
function copyBids(Bid[] storage bids1, Bid[] storage bids2) internal {
for (uint i = 0; i < bids2.length; i++) {
bids1.push(bids2[i]);
}
bids1.length = bids2.length;
}
function getBidsExceptBid_i(Bid _bid, Bid[] storage _bids_i) internal {
removeBid(_bid, _bids_i);
}
function payForBid(Bid _bid, Bid[] storage _bids_i, Bid[] storage winners) internal returns (uint){
delete Q_;
Q_.length = 0;
uint _pay = _bid.bid;
delete diffNums;
while (Q_.length != amount) {
computeIncreaseR(_bids_i, Q_);
if (_bids_i.length == 0) break;
sortBidByIncreaseR(_bids_i, int(0), int(_bids_i.length-1));
// increasing order
Bid memory bid = Bid({id: _bids_i[0].id, k: _bids_i[0].k, Q: _bids_i[0].Q, bid:_bids_i[0].bid, increaseR: _bids_i[0].increaseR});
if (isConflictInBids(bid, winners)) {
removeBid(0, _bids_i);
continue;
}
// Q_ union bid.Q
uint diffNum = isSubsetOfcurrentQ(_bid.Q, Q_);
diffNums.push(diffNum);
setUnion(Q_, bid.Q); // Q_ has changed
if(isSubsetOfcurrentQ(_bid.Q, Q_) == 0) {
// _criticalBid = bid;
_pay = bid.increaseR * diffNum;
return _pay;
}
// remove bid from _bids_i
removeBid(0, _bids_i);
}
return _pay;
}
// backup the original bids
function backupAllBids() internal {
uint length = bids.length;
// backup_bids = new Bid[](length);
delete backup_bids;
for (uint i = 0; i < length; i++) {
backup_bids.push(bids[i]);
}
}
// compute r(bid) for each bid
function computeIncreaseR(Bid[] storage _bids, uint[] _currentQ) internal{
for (uint i = 0; i < _bids.length; i++) {
uint diffNum = isSubsetOfcurrentQ(_bids[i].Q, _currentQ); // |Q-currentQ|
// Q is subset of currentQ, delete the bid contains Q
if (diffNum == 0) {
removeBid(i, _bids);
i--;
continue;
}
_bids[i].increaseR = _bids[i].bid / diffNum;
}
}
// if Q is the subset of currentQ, delete Q
// otherwise, compute the marginal benefit of Q
function isSubsetOfcurrentQ(uint[] _Q, uint[] _currentQ) internal returns (uint){
uint count = _Q.length;
if (_currentQ.length == 0) return count;
for (uint i = 0; i < _Q.length; i++) {
for (uint j = 0; j < _currentQ.length; j++) {
if(_Q[i] == _currentQ[j]) {
count--;
break; // jump out of the loop as soon as you find the same one
}
}
}
return count;
}
// delete the bid at the specified location
function removeBid(uint index, Bid[] storage _bids) internal {
uint length = _bids.length;
if (index < 0 || index > length) return;
for (uint i = index; i < length - 1; i++) {
_bids[i] = _bids[i+1];
}
delete _bids[length - 1];
_bids.length--;
}
function removeBid(Bid _bid, Bid[] storage _bids) internal {
if (_bids.length <= 0) return;
address id = _bid.id;
uint k = _bid.k;
for (uint i = 0; i < _bids.length; i++) {
if (_bids[i].id == id && _bids[i].k == k) {
removeBid(i, _bids);
}
}
}
function sortBidByIncreaseR(Bid[] storage R, int i, int j) internal {
if (R.length == 0) return;
quickSort(R, i, j);
}
function quickSort(Bid[] storage R, int i, int j) internal {
if (i < j) {
int pivot = partition(R, i, j);
quickSort(R, i, pivot - 1);
quickSort(R, pivot + 1, j);
}
}
function partition(Bid[] storage R, int i, int j) internal returns(int){
// Bid temp = R[i];
Bid memory temp = Bid({id: R[uint(i)].id, k: R[uint(i)].k, Q: R[uint(i)].Q, bid:R[uint(i)].bid, increaseR: R[uint(i)].increaseR});
// copyBid(temp, R[i]);
while (i < j) {
while (i < j && R[uint(j)].increaseR >= temp.increaseR)
j--;
if (i < j) {
R[uint(i)] = R[uint(j)];
i++;
}
while (i < j && R[uint(i)].increaseR <= temp.increaseR)
i++;
if (i < j) {
R[uint(j)] = R[uint(i)];
j--;
}
}
// copyBid(R[i] , temp);
R[uint(i)] = Bid({id: temp.id, k: temp.k, Q: temp.Q, bid: temp.bid, increaseR: temp.increaseR});
delete temp;
return i;
}
// find the union of two sets
function setUnion(uint[] storage v1, uint[] v2) internal {
for (uint i = 0; i < v2.length; i++) {
if (isElementInSet(v1, v2[i])) continue;
v1.push(v2[i]);
}
}
// check whether element is in set v
function isElementInSet(uint[] v, uint element) internal returns(bool){
for (uint i = 0; i < v.length; i++) {
if (v[i] == element) return true;
}
return false;
}
// delete conflict bids conflict with the bid
function deleteConflictBids(Bid bid) internal {
uint length = bid.Q.length;
int i = 0;
while (uint(i) < bids.length) {
// Bid temp = bids[i];
Bid memory temp = Bid({id: bids[uint(i)].id, k: bids[uint(i)].k, Q: bids[uint(i)].Q, bid:bids[uint(i)].bid, increaseR: bids[uint(i)].increaseR});
//copyBid(temp, bids[i]);
i++;
// no conflict
if (temp.Q.length != length) continue;
// may have conflict
uint flag = isConflictBid(temp, bid);
if (flag == 0) {
--i;
removeBid(uint(i), bids);
}
}
// delete temp;
}
// check if this two bids conflict
function isConflictBid(Bid bid, Bid baseBid) internal returns(uint) {
uint length = baseBid.Q.length;
uint flag = length;
for (uint i = 0; i < length; i++) {
for (uint j = 0; j < length; j++) {
if (bid.Q[i] == baseBid.Q[j]) {
flag--;
break;
}
}
}
return flag;
}
function isConflictInBids(Bid _bid, Bid[] storage _bids) internal returns (bool){
uint length = _bid.Q.length;
uint i = 0;
while (i < _bids.length) {
Bid memory temp = Bid({id: _bids[i].id, k: _bids[i].k, Q: _bids[i].Q, bid:_bids[i].bid, increaseR: _bids[i].increaseR});
i++;
// the numbers are not equal, and do not conflict
if (temp.Q.length != length) continue;
uint flag = isConflictBid(temp, _bid);
if (flag == 0 && _bid.id == temp.id && _bid.k == temp.k) {
return true;
}
}
return false;
}
}
常见错误:
最开始,我设计的是通过循环得到所有胜利者的报酬,将他们存到数组中。然而这样会导致out of gas
错误。我以为是程序的问题,后来通过单元测试,对每一个Bid
自己手动run
一遍循环中的内容,发现得出了和C++代码一样的结果。说明不是程序的问题,我就将循环去掉,这样其实正好契合了智能合约的特性,后面会陆续加上密封报价的拍卖等,竞拍成功的人自己调用合约中的criticalPayment()
入口得到自己的报酬。
function criticalPay() public returns (uint[]){
uint num = selected_bids.length;
for (uint i = 0; i < num; i++) {
// bids has changed in winner selection process
copyBids(bids_i, backup_bids);
getBidsExceptBid_i(selected_bids[i], bids_i); // get bids excpet bid i
// critical pay for bid i
uint _pay = payForBid(selected_bids[i], bids_i, selected_bids);
winnerPays.push(_pay);
}
return winnerPays;
}
1.3 编译合约
同样可以参考之前的文章,有详细说明。
在项目根目录ReverseAuction
的powershell中执行truffle compile
命令:
PS H:\TestContract\ReverseAuction2> truffle compile
Compiling .\contracts\Migrations.sol...
Compiling .\contracts\ReverseAuction.sol...
Compilation warnings encountered:
....
Writing artifacts to .\build\contracts
2 Ganache-cli 部署测试智能合约
2.1 启动ganache-cli
打开powershell
终端,可以看到ganache-cli
启动后自动建立了10
个账号(Accounts),与每个账号对应的私钥(Private Key)。每个账号中都有100
个测试用的以太币(Ether)。
Note. ganache-cli仅运行在内存中,因此每次重开时都会回到全新的状态。
C:\Users\aby>ganache-cli
2.2 部署合约
(1)migrations
目录下创建一个名字叫做2_deploy_contracts.js
的文件。文件中的内容为:
var ReverseAuction = artifacts.require('./ReverseAuction');
module.exports = function(deployer){
deployer.deploy(ReverseAuction, '0xe81926dafe87588737d82336a93375bb7e5300d7')
}
(2)修改truffle.js
文件,连接本地ganache-cli
环境。参数在最开初始化ganache-cli
环境的窗口可以看到。
module.exports = {
// See <http://truffleframework.com/docs/advanced/configuration>
// to customize your Truffle configuration!
networks: {
development: {
host: '127.0.0.1',
port: 8545,
network_id: "*" // match any network id
}
}
};
(3)现在执行truffle migrate
命令,我们可以将ReverseAuction.sol
原始码编译成Ethereum bytecode
。
PS H:\TestContract\ReverseAuction> truffle migrate --reset
Using network 'development'.
Running migration: 1_initial_migration.js
Deploying Migrations...
...
Saving artifacts...
2.3 与合约交互
truffle
提供命令行工具,执行truffle console
命令后,可用Javascript
来和刚刚部署的合约互动。
PS H:\TestContract\SimpleAuction> truffle console
truffle(development)>
2.3.1 参与拍卖的账户
我们需要准备一些测试账户。
它会把第一个帐户的地址分配给变量account0
,第二个帐户分配给变量account1
。Web3
是一个JavaScript API
,它将RPC
调用包装起来以方便我们与区块链进行交互。
我在这里将第9个账户作为部署合约初始化的拍卖发起人。
其余7个账户会进行报价。
PS H:\TestContract\ReverseAuction> truffle console
truffle(development)> address = web3.eth.accounts[9];
'0x9c13d1858c1b6d11cc191df368f973b6166945ef'
truffle(development)> a1 = web3.eth.accounts[1];
'0x68e8a5c2041d181b83b45e6d43bd6632c2fbd4c1'
truffle(development)> a2 = web3.eth.accounts[2];
'0x14636416fafe3c5f04f40a5ab2561d92c5919cad'
truffle(development)> a3 = web3.eth.accounts[3];
'0x86d411018845c6b66147f9f65aafe28be5a7b452'
truffle(development)> a4 = web3.eth.accounts[4];
'0xf8dc81cc6eed17c8a8aafe41f1259264c895e22b'
truffle(development)> a5 = web3.eth.accounts[5];
'0x5e97507ce9fa74b7e4f057e3def717e43e525ba3'
truffle(development)> a5 = web3.eth.accounts[6];
'0x55545b5fade70457a19e81644068cce8ed75017a'
truffle(development)> a5 = web3.eth.accounts[7];
'0x8e9aa9b81a87e58355541a81444e12848a98b388'
2.3.2 启动拍卖
现在我们需要先启动一个拍卖,才能进行接下来的操作。
truffle(development)> let contract
undefined
truffle(development)> ReverseAuction.deployed().then(instance => contract = instance);
任务提供者设置任务。
truffle(development)> tasks = [1,2,3,4,5,6];
[ 1, 2, 3, 4, 5, 6 ]
truffle(development)> contract.setTasks(6,tasks,{from:address});
truffle(development)> contract.getTasks.call();
[ BigNumber { s: 1, e: 0, c: [ 1 ] },
BigNumber { s: 1, e: 0, c: [ 2 ] },
BigNumber { s: 1, e: 0, c: [ 3 ] },
BigNumber { s: 1, e: 0, c: [ 4 ] },
BigNumber { s: 1, e: 0, c: [ 5 ] },
BigNumber { s: 1, e: 0, c: [ 6 ] } ]
2.3.3 开始报价
此时我们用5个账号分别调用addBid()
进行报价。
truffle(development)> contract.addBid(0,[1,3,4],12,{from:a1});
truffle(development)> contract.addBid(0,[1,5],6,{from:a2});
truffle(development)> contract.addBid(0,[2,3,4],15,{from:a3});
truffle(development)> contract.addBid(0,[3,4,5,6],20,{from:a4});
truffle(development)> contract.addBid(0,[2,4,6],9,{from:a5});
truffle(development)> contract.addBid(0,[1,2,3],6,{from:a6});
truffle(development)> contract.addBid(0,[3,5],10,{from:a7});
2.3.4 启动winner selection算法
调用function selectWinners() {}
函数进行winner selection。
truffle(development)> contract.selectWinners({from:address})
查看selected_bids
中被选中的报价数,以及被选中的第一个Bid
详情,和当前的social welfare
。
truffle(development)> contract.getSelectedBidsNum.call()
BigNumber { s: 1, e: 0, c: [ 3 ] }
truffle(development)> contract.getSelectedBids.call(0)
[ '0x55545b5fade70457a19e81644068cce8ed75017a',
BigNumber { s: 1, e: 0, c: [ 0 ] },
[ BigNumber { s: 1, e: 0, c: [Array] },
BigNumber { s: 1, e: 0, c: [Array] },
BigNumber { s: 1, e: 0, c: [Array] } ],
BigNumber { s: 1, e: 0, c: [ 6 ] },
BigNumber { s: 1, e: 0, c: [ 2 ] } ]
truffle(development)> contract.getSocialWelfare.call()
BigNumber { s: 1, e: 1, c: [ 21 ] }
2.3.5 启动Critical Payment算法
对于每一个胜者,分别调用pay
。
truffle(development)> contract.criticalPay(0,{from:address})
truffle(development)> contract.criticalPay(1,{from:address})
truffle(development)> contract.criticalPay(2,{from:address})
查看具体的payment
数值。
truffle(development)> contract.getCriticalPay.call(0)
BigNumber { s: 1, e: 1, c: [ 15 ] }
truffle(development)> contract.getCriticalPay.call(1)
BigNumber { s: 1, e: 1, c: [ 15 ] }
truffle(development)> contract.getCriticalPay.call(2)
BigNumber { s: 1, e: 1, c: [ 10 ] }
不过因为设置的bid
太少,所以结果不能很好地反映算法。
算法可能也理解有些误差,不过主要目的是学习用智能合约实现一个拍卖算法。
结果与我用c++
跑出来的结果一样。
下一篇文章,尝试在这篇文章的基础上,对报价进行保护。
本文作者:Joyce
文章来源:https://www.jianshu.com/p/dc932929a88c
版权声明:转载请注明出处!
2018年8月1日
Reference
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