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基于区块链和MerkleTree的防伪溯源系统

build version

思路是利用MerkleTree,在子商品和父包装建立强相关性,加大防伪力度。

目前挖矿是每次交易的时候启动一次挖矿,为了保证解密成功,时间为10s,所以每次写入会等待10s时间,并非卡顿,这一点很好解决,只要有一个单独节点一直启动挖矿就可以,开发环境这里因为怕产生过多区块,故没有这样做

注意!为了统一addItem和addPath两个API,第一次提交商品时会自动判断出是首次,然后先做addItem再做AddPath,所以会挖矿20s!延迟主要在这里

特性

  • 支持快速动态加入节点
  • 支持在任意区块链节点插入和查询链
  • 可复用

环境 :

前端 : HTML5(jQuery)+ Tomcat7

后端 : Flask + Nginx + Gunicorn

区块链 : Ethereum

  • python 3.6

  • solidity 0.4.8

  • python requirements:

    • solc : 编译智能合约
    • flask : 后端框架
    • web3.py : 以太坊API
    • zxing : 二维码解析
    • qrcode : 二维码生成
  • JavaScript requirements

    • Dropzone.js : 文件上传
    • inspinia.js : UI
    • bootstrap.js jquery-3.1.1.js : 基础模块

文件、模块说明

web

  • index.html : 前端页面
  • 61.html : index的copy,但是全部操作通过61节点

MerkleTrace

  • config/config.yaml : 存放用户名、合约地址等信息,会在合约部署的时候自动写入
  • src/deploy_contract.py : 专门用来部署合约的类
  • src/MerkleTree.py :MerkleTree 计算类
  • smartContrace/MerkleTrace.sol :智能合约
  • MerkleTraceRun.py :后端系统API
  • utils/bc_utils.py qr_utils query_utils :一些可复用的工具函数 详见代码注释

架构设计(简略版)

前端页面传入商品的二维码,并提交json格式的其它必要信息,数据由ajax传输。注意,图片拖拽即完成上传,无需提交按钮.
提交按钮实际上访问了两个API,一个是功能API,一个是/delete负责删除服务器上本次上传的所有图片.
后端会首先解析二维码得到item_key,然后进行后续操作,最终会统一删除'./upload'下所有单个文件.

前端传入的信息中,以下部分固定写死,即都通过59节点的用户0完成操作,实际上任何节点任何用户都可以,不过每一个节点应该运行自己的一个C/S服务器,
所以对于每个前端,这部分本身就是固定的,并非由用户提供

{
    "address": "0xEdf70Fd2a4DF9f81b7e101Bcb85C62d5b6EFB745",
    "passwd": "user1",
    "url": "http://10.141.211.59:8545"
}

计算MerkleRoot这里采用了补齐操作,补齐的长度是 int(math.log(len(leaf_list), 2)) + 1. MerkleTree的叶子顺序会影响Root的值,这里用首次提交时间排序,所以一定要先提交商品,再算MerkleRoot

网页端功能

图片上传用Dropzone.js 实现,不过UI有点诡异,可能跟inspinia某些地方冲突了,图片缩略图是白的

上传商品

upload

计算MerkleRoot

compute

查询

query

验证

verify

API

/deployContract: 部署合约

example :

{
	"address": "0xEdf70Fd2a4DF9f81b7e101Bcb85C62d5b6EFB745",
	"passwd": "user1",
	"url": "http://10.141.211.59:8545"
}

response:

{
    "result": "contract address is 0x6F906dE4596B1A57a9040B65a28F6da640B16e9a"
}

/addItem: 添加新的商品

基本弃置,现在/addPath会做一次检查,如果是第一次加入自动调用_add_item

example :

{
    "address": "0xEdf70Fd2a4DF9f81b7e101Bcb85C62d5b6EFB745",
    "passwd": "user1",
    "url": "http://10.141.211.59:8545",
    "img_file": <img_file_name>,
    "item_name": "apple"
}

response:

{
    "result": "AttributeDict({'blockHash': HexBytes('0xe236c25db907f1f25653f1fc38da83c8bc176eaea8d42a307f9e981b64826952'), 'blockNumber': 232, 'contractAddress': None, 'cumulativeGasUsed': 44934, 'from': '0xedf70fd2a4df9f81b7e101bcb85c62d5b6efb745', 'gasUsed': 44934, 'logs': [], 'logsBloom': HexBytes('0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000'), 'root': '0x3f1c8c14610894b4b46b5671ed1bb3394e325055c219b2e15c2b0141edea8ebd', 'to': '0x6f906de4596b1a57a9040b65a28f6da640b16e9a', 'transactionHash': HexBytes('0x40da1fe4b716e61ca362341e2418b33cf3eea06c3620bcbd3f5c24aadaf36680'), 'transactionIndex': 0})"
}

/addPath:

在以存放商品中添加路径,请按时间顺序提交,last_time > submit_time 会报错

example :

{
	"address": "0xEdf70Fd2a4DF9f81b7e101Bcb85C62d5b6EFB745",
	"passwd": "user1",
	"url": "http://10.141.211.59:8545",
	"img_file": <img_file_name>,
	"item_path": {
		"time": "2019.01.02",
		"node_name":"pekingU",
		"location":"beijing"
	}
}

response:

{
  "result": "AttributeDict({'blockHash': HexBytes('0x423ebd25d06013a5ef054b14ab891a5c00d50f280ceedbc1dbdf09c4ec1242ac'), 'blockNumber': 242, 'contractAddress': None, 'cumulativeGasUsed': 53863, 'from': '0xedf70fd2a4df9f81b7e101bcb85c62d5b6efb745', 'gasUsed': 53863, 'logs': [], 'logsBloom': HexBytes('0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000'), 'root': '0x72e5e2ec45aba7122b574a7bf3075934d3c2c4e1e18849a00e231128e5b01610', 'to': '0x6f906de4596b1a57a9040b65a28f6da640b16e9a', 'transactionHash': HexBytes('0x570df57a144ab6e886588897ea9c0b5bae78bd233225463ade77bd30c843a204'), 'transactionIndex': 0})"
}

/getPath: 获取商品的路径信息

example :

{
    "url": "http://10.141.211.59:8545",
	"img_file": <img_file_name>
}

response:

{
	"result": {
		"item_name": "apple",
		"iterm_path": [{
				"location": "beijing",
				"node_name": "pekingU",
				"time": "2019.01.02"
			},
			{
				"location": "sahngahi",
				"node_name": "fudan",
				"time": "2019.01.03"
			}
		]
	}
}

/getFirstTime: 获取商品第一次提交的时间

example:

{
	"url": "http://10.141.211.59:8545",
	"img_file": <img_file_name>
}

response:

{
    "result": "2019.01.02"
}

/getLastTime: 获取商品最后一次提交的时间

example:

{
	"url": "http://10.141.211.59:8545",
	"img_file": <img_file_name>
}

response:

{
    "result": "2019.03.02"
}

/verify: 验证商品真实性

example:

{
	"url": "http://10.141.211.59:8545",
	"root_img_file": <img_file_name>
}

response:

{
    "result": True
}

/compute: 计算Merkle树根

example:

{
	"url": "http://10.141.211.59:8545"
}

response:

blob file :image

注意点

  1. 二维码解码比较慢,大约是1s一张,python一般用zxing这个lib,不知道是这个库慢还是解码本身就慢,暂时没有好的解决办法

完成程度 :

项目 是否完成
链搭建 ✔️
链测试 ✔️
后端搭建 ✔️
后端测试 ✔️
MerkleTree 算法 ✔️
前端 ✔️
部署测试 ✔️

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