1.今日任务安排
- 继续完成后端*.Controller代码的编写
- 建立数据库链接,对数据库的响应(数据库表的增、删、改、查)。
- 完成访问控制功能的实现(管理员、审核员、普通工作人员等)。
- 继续前端界面的设计
2.遇到的困难
1.在实现公文的提交和审核功能的时候,普通工作人员可以成功提交文件,但当审核员从系统中要审核提交者的文件的时候,下载时公文显示的是乱码。
文件上传以后,加密过程是成功的,但是下载解密后的文件显示乱码,问题出在解密的传输流问题,将代码修改后成功解决该问题。
2.在撰写公文时,标题不宜写的过于冗长,否则将会出现系统警告。
3.今日成果
- LogController.java
package cn.edu.nuc.article.controller;
import java.util.List;
import java.util.Map;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.util.StringUtils;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import com.github.pagehelper.PageInfo;
import com.github.pagehelper.page.PageMethod;
import cn.edu.nuc.article.entity.Log;
import cn.edu.nuc.article.service.LogService;
/**
* 日志Controller
*
*/
@Controller
@RequestMapping("/log")
public class LogController {
/**
* 日志Service
*/
@Autowired
private LogService logService;
/**
* 分页+模糊查询
* @param pageNo 当前页
* @param pageCount 每页记录数
* @param function 待查参数
* @return
*/
@RequestMapping("/logs")
public String logs(Map<String, Object> map,
@RequestParam(value="pageNo", defaultValue="1", required=false) Integer pageNo,
@RequestParam(value="pageCount", defaultValue="10", required=false) Integer pageCount,
@RequestParam(value="keyword", required=false) String keyword) {
// 引入PageHelper分页插件
// 在查询之前只需要调用,传入页码,以及每页的大小
PageMethod.startPage(pageNo, pageCount);
// 分页查询得到结果集
List<Log> logs;
if (StringUtils.hasText(keyword)) {
Log log = new Log();
log.setOptname(keyword);
logs = logService.findByKeyword(log);
} else {
logs = logService.findByKeyword(null);
}
// 使用pageInfo包装查询后的结果,只需要将pageInfo交给页面就行了。
// 封装了详细的分页信息,包括有我们查询出来的数据,传入连续显示的页数
PageInfo<Log> page = new PageInfo<Log>(logs, 5);
//保存结果集带到页面显示
map.put("page", page);
map.put("pageNo", pageNo);
map.put("pageCount", pageCount);
//保存模糊查询条件以便回显
map.put("keyword", keyword);
return "log/logManage";
}
}
- sm4.js
/**
* base64js
* base64js.toByteArray(d.input)
* base64js.fromByteArray(c);
* 国密SM4加密算法
*/
(function(r) {
if (typeof exports === "object" && typeof module !== "undefined") {
module.exports = r()
} else {
if (typeof define ===
"function" && define.amd) {
define([], r)
} else {
var e;
if (typeof window !== "undefined") {
e = window
} else {
if (typeof global !==
"undefined") {
e = global
} else {
if (typeof self !== "undefined") {
e = self
} else {
e = this
}
}
}
e.base64js = r()
}
}
})(function() {
var r, e, t;
return function r(e, t, n) {
function o(i, a) {
if (!t[i]) {
if (!e[i]) {
var u = typeof require == "function" && require;
if (!a && u) {
return u(i, !0)
}
if (f) {
return f(i, !0)
}
var d = new Error("Cannot find module '" + i + "'");
throw d.code = "MODULE_NOT_FOUND", d
}
var c = t[i] = {
exports: {}
};
e[i][0].call(c.exports, function(r) {
var t = e[i][1][r];
return o(t ? t : r)
}, c, c.exports, r, e, t, n)
}
return t[i].exports
}
var f = typeof require == "function" && require;
for (var i = 0; i < n.length; i++) {
o(n[i])
}
return o
}({
"/": [function(r, e, t) {
t.byteLength = c;
t.toByteArray = v;
t.fromByteArray = s;
var n = [];
var o = [];
var f = typeof Uint8Array !== "undefined" ? Uint8Array : Array;
var i = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";
for (var a = 0, u = i.length; a < u; ++a) {
n[a] = i[a];
o[i.charCodeAt(a)] = a
}
o["-".charCodeAt(0)] = 62;
o["_".charCodeAt(0)] = 63;
function d(r) {
var e = r.length;
if (e % 4 > 0) {
throw new Error("Invalid string. Length must be a multiple of 4")
}
return r[e - 2] === "=" ? 2 : r[e - 1] === "=" ? 1 : 0
}
function c(r) {
return r.length * 3 / 4 - d(r)
}
function v(r) {
var e, t, n, i, a;
var u = r.length;
i = d(r);
a = new f(u * 3 / 4 - i);
t = i > 0 ? u - 4 : u;
var c = 0;
for (e = 0; e < t; e += 4) {
n = o[r.charCodeAt(e)] << 18 | o[r.charCodeAt(e + 1)] << 12 | o[r.charCodeAt(e + 2)] << 6 | o[r.charCodeAt(
e + 3)];
a[c++] = n >> 16 & 255;
a[c++] = n >> 8 & 255;
a[c++] = n & 255
}
if (i === 2) {
n = o[r.charCodeAt(e)] << 2 | o[r.charCodeAt(e + 1)] >> 4;
a[c++] = n & 255
} else {
if (i === 1) {
n = o[r.charCodeAt(e)] << 10 | o[r.charCodeAt(e + 1)] << 4 | o[r.charCodeAt(e + 2)] >> 2;
a[c++] = n >> 8 & 255;
a[c++] = n & 255
}
}
return a
}
function l(r) {
return n[r >> 18 & 63] + n[r >> 12 & 63] + n[r >> 6 & 63] + n[r & 63]
}
function h(r, e, t) {
var n;
var o = [];
for (var f = e; f < t; f += 3) {
n = (r[f] << 16) + (r[f + 1] << 8) + r[f + 2];
o.push(l(n))
}
return o.join("")
}
function s(r) {
var e;
var t = r.length;
var o = t % 3;
var f = "";
var i = [];
var a = 16383;
for (var u = 0, d = t - o; u < d; u += a) {
i.push(h(r, u, u + a > d ? d : u + a))
}
if (o === 1) {
e = r[t - 1];
f += n[e >> 2];
f += n[e << 4 & 63];
f += "=="
} else {
if (o === 2) {
e = (r[t - 2] << 8) + r[t - 1];
f += n[e >> 10];
f += n[e >> 4 & 63];
f += n[e << 2 & 63];
f += "="
}
}
i.push(f);
return i.join("")
}
}, {}]
}, {}, [])("/")
});
/**
* 国密SM4加密算法
*/
function SM4_Context() {
this.mode = 1;
this.isPadding = true;
this.sk = new Array(32);
}
function SM4() {
this.SM4_ENCRYPT = 1;
this.SM4_DECRYPT = 0;
var SboxTable = [0xd6, 0x90, 0xe9, 0xfe, 0xcc, 0xe1, 0x3d, 0xb7, 0x16, 0xb6, 0x14, 0xc2, 0x28, 0xfb, 0x2c, 0x05,
0x2b, 0x67, 0x9a, 0x76, 0x2a, 0xbe, 0x04, 0xc3, 0xaa, 0x44, 0x13, 0x26, 0x49, 0x86, 0x06, 0x99,
0x9c, 0x42, 0x50, 0xf4, 0x91, 0xef, 0x98, 0x7a, 0x33, 0x54, 0x0b, 0x43, 0xed, 0xcf, 0xac, 0x62,
0xe4, 0xb3, 0x1c, 0xa9, 0xc9, 0x08, 0xe8, 0x95, 0x80, 0xdf, 0x94, 0xfa, 0x75, 0x8f, 0x3f, 0xa6,
0x47, 0x07, 0xa7, 0xfc, 0xf3, 0x73, 0x17, 0xba, 0x83, 0x59, 0x3c, 0x19, 0xe6, 0x85, 0x4f, 0xa8,
0x68, 0x6b, 0x81, 0xb2, 0x71, 0x64, 0xda, 0x8b, 0xf8, 0xeb, 0x0f, 0x4b, 0x70, 0x56, 0x9d, 0x35,
0x1e, 0x24, 0x0e, 0x5e, 0x63, 0x58, 0xd1, 0xa2, 0x25, 0x22, 0x7c, 0x3b, 0x01, 0x21, 0x78, 0x87,
0xd4, 0x00, 0x46, 0x57, 0x9f, 0xd3, 0x27, 0x52, 0x4c, 0x36, 0x02, 0xe7, 0xa0, 0xc4, 0xc8, 0x9e,
0xea, 0xbf, 0x8a, 0xd2, 0x40, 0xc7, 0x38, 0xb5, 0xa3, 0xf7, 0xf2, 0xce, 0xf9, 0x61, 0x15, 0xa1,
0xe0, 0xae, 0x5d, 0xa4, 0x9b, 0x34, 0x1a, 0x55, 0xad, 0x93, 0x32, 0x30, 0xf5, 0x8c, 0xb1, 0xe3,
0x1d, 0xf6, 0xe2, 0x2e, 0x82, 0x66, 0xca, 0x60, 0xc0, 0x29, 0x23, 0xab, 0x0d, 0x53, 0x4e, 0x6f,
0xd5, 0xdb, 0x37, 0x45, 0xde, 0xfd, 0x8e, 0x2f, 0x03, 0xff, 0x6a, 0x72, 0x6d, 0x6c, 0x5b, 0x51,
0x8d, 0x1b, 0xaf, 0x92, 0xbb, 0xdd, 0xbc, 0x7f, 0x11, 0xd9, 0x5c, 0x41, 0x1f, 0x10, 0x5a, 0xd8,
0x0a, 0xc1, 0x31, 0x88, 0xa5, 0xcd, 0x7b, 0xbd, 0x2d, 0x74, 0xd0, 0x12, 0xb8, 0xe5, 0xb4, 0xb0,
0x89, 0x69, 0x97, 0x4a, 0x0c, 0x96, 0x77, 0x7e, 0x65, 0xb9, 0xf1, 0x09, 0xc5, 0x6e, 0xc6, 0x84,
0x18, 0xf0, 0x7d, 0xec, 0x3a, 0xdc, 0x4d, 0x20, 0x79, 0xee, 0x5f, 0x3e, 0xd7, 0xcb, 0x39, 0x48
];
var FK = [0xa3b1bac6, 0x56aa3350, 0x677d9197, 0xb27022dc];
var CK = [0x00070e15, 0x1c232a31, 0x383f464d, 0x545b6269,
0x70777e85, 0x8c939aa1, 0xa8afb6bd, 0xc4cbd2d9,
0xe0e7eef5, 0xfc030a11, 0x181f262d, 0x343b4249,
0x50575e65, 0x6c737a81, 0x888f969d, 0xa4abb2b9,
0xc0c7ced5, 0xdce3eaf1, 0xf8ff060d, 0x141b2229,
0x30373e45, 0x4c535a61, 0x686f767d, 0x848b9299,
0xa0a7aeb5, 0xbcc3cad1, 0xd8dfe6ed, 0xf4fb0209,
0x10171e25, 0x2c333a41, 0x484f565d, 0x646b7279
];
this.GET_ULONG_BE = function(b, i) {
return (b[i] & 0xff) << 24 | ((b[i + 1] & 0xff) << 16) | ((b[i + 2] & 0xff) << 8) | (b[i + 3] & 0xff) & 0xffffffff;
}
this.PUT_ULONG_BE = function(n, b, i) {
var t1 = (0xFF & (n >> 24));
var t2 = (0xFF & (n >> 16));
var t3 = (0xFF & (n >> 8));
var t4 = (0xFF & (n));
b[i] = t1 > 128 ? t1 - 256 : t1;
b[i + 1] = t2 > 128 ? t2 - 256 : t2;
b[i + 2] = t3 > 128 ? t3 - 256 : t3;
b[i + 3] = t4 > 128 ? t4 - 256 : t4;
}
this.SHL = function(x, n) {
return (x & 0xFFFFFFFF) << n;
}
this.ROTL = function(x, n) {
var s = this.SHL(x, n);
var ss = x >> (32 - n);
return this.SHL(x, n) | x >> (32 - n);
}
this.sm4Lt = function(ka) {
var bb = 0;
var c = 0;
var a = new Array(4);
var b = new Array(4);
this.PUT_ULONG_BE(ka, a, 0);
b[0] = this.sm4Sbox(a[0]);
b[1] = this.sm4Sbox(a[1]);
b[2] = this.sm4Sbox(a[2]);
b[3] = this.sm4Sbox(a[3]);
bb = this.GET_ULONG_BE(b, 0);
c = bb ^ this.ROTL(bb, 2) ^ this.ROTL(bb, 10) ^ this.ROTL(bb, 18) ^ this.ROTL(bb, 24);
return c;
}
this.sm4F = function(x0, x1, x2, x3, rk) {
return x0 ^ this.sm4Lt(x1 ^ x2 ^ x3 ^ rk);
}
this.sm4CalciRK = function(ka) {
var bb = 0;
var rk = 0;
var a = new Array(4);
var b = new Array(4);
this.PUT_ULONG_BE(ka, a, 0);
b[0] = this.sm4Sbox(a[0]);
b[1] = this.sm4Sbox(a[1]);
b[2] = this.sm4Sbox(a[2]);
b[3] = this.sm4Sbox(a[3]);
bb = this.GET_ULONG_BE(b, 0);
rk = bb ^ this.ROTL(bb, 13) ^ this.ROTL(bb, 23);
return rk;
}
this.sm4Sbox = function(inch) {
var i = inch & 0xFF;
var retVal = SboxTable[i];
return retVal > 128 ? retVal - 256 : retVal;
}
this.sm4_setkey_enc = function(ctx, key) {
if (ctx == null) {
alert("ctx is null!");
return false;
}
if (key == null || key.length != 16) {
alert("key error!");
return false;
}
ctx.mode = this.SM4_ENCRYPT;
this.sm4_setkey(ctx.sk, key);
};
//生成解密密钥
this.sm4_setkey_dec = function(ctx, key) {
if (ctx == null) {
Error("ctx is null!");
}
if (key == null || key.length != 16) {
Error("key error!");
}
var i = 0;
ctx.mode = 0;
this.sm4_setkey(ctx.sk, key);
ctx.sk = ctx.sk.reverse();
}
this.sm4_setkey = function(SK, key) {
var MK = new Array(4);
var k = new Array(36);
var i = 0;
MK[0] = this.GET_ULONG_BE(key, 0);
MK[1] = this.GET_ULONG_BE(key, 4);
MK[2] = this.GET_ULONG_BE(key, 8);
MK[3] = this.GET_ULONG_BE(key, 12);
k[0] = MK[0] ^ FK[0];
k[1] = MK[1] ^ FK[1];
k[2] = MK[2] ^ FK[2];
k[3] = MK[3] ^ FK[3];
for (var i = 0; i < 32; i++) {
k[(i + 4)] = (k[i] ^ this.sm4CalciRK(k[(i + 1)] ^ k[(i + 2)] ^ k[(i + 3)] ^ CK[i]));
SK[i] = k[(i + 4)];
}
}
this.padding = function(input, mode) {
if (input == null) {
return null;
}
var ret = null;
if (mode == this.SM4_ENCRYPT) {
var p = parseInt(16 - input.length % 16);
ret = input.slice(0);
for (var i = 0; i < p; i++) {
ret[input.length + i] = p;
}
} else {
var p = input[input.length - 1];
ret = input.slice(0, input.length - p);
}
return ret;
}
this.sm4_one_round = function(sk, input, output) {
var i = 0;
var ulbuf = new Array(36);
ulbuf[0] = this.GET_ULONG_BE(input, 0);
ulbuf[1] = this.GET_ULONG_BE(input, 4);
ulbuf[2] = this.GET_ULONG_BE(input, 8);
ulbuf[3] = this.GET_ULONG_BE(input, 12);
while (i < 32) {
ulbuf[(i + 4)] = this.sm4F(ulbuf[i], ulbuf[(i + 1)], ulbuf[(i + 2)], ulbuf[(i + 3)], sk[i]);
i++;
}
this.PUT_ULONG_BE(ulbuf[35], output, 0);
this.PUT_ULONG_BE(ulbuf[34], output, 4);
this.PUT_ULONG_BE(ulbuf[33], output, 8);
this.PUT_ULONG_BE(ulbuf[32], output, 12);
}
this.sm4_crypt_ecb = function(ctx, input) {
if (input == null) {
alert("input is null!");
}
if ((ctx.isPadding) && (ctx.mode == this.SM4_ENCRYPT)) {
input = this.padding(input, this.SM4_ENCRYPT);
}
var i = 0;
var length = input.length;
var bous = new Array();
for (; length > 0; length -= 16) {
var out = new Array(16);
var ins = input.slice(i * 16, (16 * (i + 1)));
this.sm4_one_round(ctx.sk, ins, out)
bous = bous.concat(out);
i++;
}
var output = bous;
if (ctx.isPadding && ctx.mode == this.SM4_DECRYPT) {
output = this.padding(output, this.SM4_DECRYPT);
}
for (var i = 0; i < output.length; i++) {
if (output[i] < 0) {
output[i] = output[i] + 256;
}
}
return output;
}
this.sm4_crypt_cbc = function(ctx, iv, input) {
if (iv == null || iv.length != 16) {
alert("iv error!");
}
if (input == null) {
alert("input is null!");
}
if (ctx.isPadding && ctx.mode == this.SM4_ENCRYPT) {
input = this.padding(input, this.SM4_ENCRYPT);
}
var i = 0;
var length = input.length;
var bous = new Array();
if (ctx.mode == this.SM4_ENCRYPT) {
var k = 0;
for (; length > 0; length -= 16) {
var out = new Array(16);
var out1 = new Array(16);
var ins = input.slice(k * 16, (16 * (k + 1)));
for (i = 0; i < 16; i++) {
out[i] = (ins[i] ^ iv[i]);
}
this.sm4_one_round(ctx.sk, out, out1);
iv = out1.slice(0, 16);
bous = bous.concat(out1);
k++;
}
} else {
var temp = [];
var k = 0;
for (; length > 0; length -= 16) {
var out = new Array(16);
var out1 = new Array(16);
var ins = input.slice(k * 16, (16 * (k + 1)));
temp = ins.slice(0, 16);
this.sm4_one_round(ctx.sk, ins, out);
for (i = 0; i < 16; i++) {
out1[i] = (out[i] ^ iv[i]);
}
iv = temp.slice(0, 16);
bous = bous.concat(out1);
k++;
}
}
var output = bous;
if (ctx.isPadding && ctx.mode == this.SM4_DECRYPT) {
output = this.padding(output, this.SM4_DECRYPT);
}
for (var i = 0; i < output.length; i++) {
if (output[i] < 0) {
output[i] = output[i] + 256;
}
}
return output;
}
}
function SM4Util() {
this.secretKey = "";
this.iv = "";
this.hexString = false;
//加密_ECB
this.encryptData_ECB = function(plainText) {
try {
var sm4 = new SM4();
var ctx = new SM4_Context();
ctx.isPadding = true;
ctx.mode = sm4.SM4_ENCRYPT;
var keyBytes = stringToByte(this.secretKey);
sm4.sm4_setkey_enc(ctx, keyBytes);
var encrypted = sm4.sm4_crypt_ecb(ctx, stringToByte(plainText));
var cipherText = base64js.fromByteArray(encrypted);
if (cipherText != null && cipherText.trim().length > 0) {
cipherText.replace(/(\s*|\t|\r|\n)/g, "");
}
return cipherText;
} catch (e) {
console.error(e);
return null;
}
}
//解密_ECB
this.decryptData_ECB = function(cipherText) {
try {
var sm4 = new SM4();
var ctx = new SM4_Context();
ctx.isPadding = true;
ctx.mode = sm4.SM4_ENCRYPT;
var keyBytes = stringToByte(this.secretKey);
sm4.sm4_setkey_dec(ctx, keyBytes);
var decrypted = sm4.sm4_crypt_ecb(ctx, base64js.toByteArray(cipherText));
return byteToString(decrypted);
} catch (e) {
console.error(e);
return null;
}
}
this.encryptData_CBC = function(plainText) {
try {
var sm4 = new SM4();
var ctx = new SM4_Context();
ctx.isPadding = true;
ctx.mode = sm4.SM4_ENCRYPT;
var keyBytes = stringToByte(this.secretKey);
var ivBytes = stringToByte(this.iv);
sm4.sm4_setkey_enc(ctx, keyBytes);
var encrypted = sm4.sm4_crypt_cbc(ctx, ivBytes, stringToByte(plainText));
var cipherText = base64js.fromByteArray(encrypted);
if (cipherText != null && cipherText.trim().length > 0) {
cipherText.replace(/(\s*|\t|\r|\n)/g, "");
}
return cipherText;
} catch (e) {
console.error(e);
return null;
}
}
//解密_CBC
this.decryptData_CBC = function(cipherText) {
try {
var sm4 = new SM4();
var ctx = new SM4_Context();
ctx.isPadding = true;
ctx.mode = sm4.SM4_ENCRYPT;
var keyBytes = stringToByte(this.secretKey);
var ivBytes = stringToByte(this.iv);
sm4.sm4_setkey_dec(ctx, keyBytes);
var decrypted = sm4.sm4_crypt_cbc(ctx, ivBytes, base64js.toByteArray(cipherText));
return byteToString(decrypted);
} catch (e) {
console.error(e);
return null;
}
}
stringToByte = function(str) {
var bytes = new Array();
var len, c;
len = str.length;
for (var i = 0; i < len; i++) {
c = str.charCodeAt(i);
if (c >= 0x010000 && c <= 0x10FFFF) {
bytes.push(((c >> 18) & 0x07) | 0xF0);
bytes.push(((c >> 12) & 0x3F) | 0x80);
bytes.push(((c >> 6) & 0x3F) | 0x80);
bytes.push((c & 0x3F) | 0x80);
} else if (c >= 0x000800 && c <= 0x00FFFF) {
bytes.push(((c >> 12) & 0x0F) | 0xE0);
bytes.push(((c >> 6) & 0x3F) | 0x80);
bytes.push((c & 0x3F) | 0x80);
} else if (c >= 0x000080 && c <= 0x0007FF) {
bytes.push(((c >> 6) & 0x1F) | 0xC0);
bytes.push((c & 0x3F) | 0x80);
} else {
bytes.push(c & 0xFF);
}
}
return bytes;
}
byteToString = function(arr) {
if (typeof arr === 'string') {
return arr;
}
var str = '',
_arr = arr;
for (var i = 0; i < _arr.length; i++) {
var one = _arr[i].toString(2),
v = one.match(/^1+?(?=0)/);
if (v && one.length == 8) {
var bytesLength = v[0].length;
var store = _arr[i].toString(2).slice(7 - bytesLength);
for (var st = 1; st < bytesLength; st++) {
store += _arr[st + i].toString(2).slice(2);
}
str += String.fromCharCode(parseInt(store, 2));
i += bytesLength - 1;
} else {
str += String.fromCharCode(_arr[i]);
}
}
return str;
}
};
• ArticleMapper.xml
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="cn.edu.nuc.article.dao.ArticleMapper">
<!-- 级联查询结果集 -->
<resultMap id="BaseResultMap" type="cn.edu.nuc.article.entity.Article">
<!-- 表中原有的列 -->
<id column="articleid" jdbcType="INTEGER" property="articleid" />
<result column="title" jdbcType="VARCHAR" property="title" />
<result column="publishtime" jdbcType="TIMESTAMP" property="publishtime" />
<result column="copywriter_id" jdbcType="INTEGER" property="copywriterId" />
<result column="auditor_id" jdbcType="INTEGER" property="auditorId" />
<result column="inst_id" jdbcType="INTEGER" property="instId" />
<result column="processinstance_id" jdbcType="VARCHAR" property="processinstanceId" />
<result column="articlestate" jdbcType="INTEGER" property="articlestate" />
<result column="clickcount" jdbcType="BIGINT" property="clickcount" />
<result column="downloadcount" jdbcType="BIGINT" property="downloadcount" />
<!-- 级联的列 -->
<!-- 级联撰稿人信息 -->
<association property="copywriter" javaType="cn.edu.nuc.article.entity.User">
<id column="copywriterid" jdbcType="INTEGER" property="userid" />
<result column="copywritername" jdbcType="VARCHAR" property="usertruename" />
</association>
<!-- 级联审稿人信息 -->
<association property="auditor" javaType="cn.edu.nuc.article.entity.User">
<id column="auditorid" jdbcType="INTEGER" property="userid" />
<result column="auditorname" jdbcType="VARCHAR" property="usertruename" />
</association>
<!-- 级联机构信息 -->
<association property="institution" javaType="cn.edu.nuc.article.entity.Institution">
<id column="instid" jdbcType="INTEGER" property="instid" />
<result column="instname" jdbcType="VARCHAR" property="instname" />
</association>
<!-- 级联附件信息 -->
<collection property="attachments" ofType="cn.edu.nuc.article.entity.Attachment">
<id column="attachmentid" jdbcType="INTEGER" property="attachmentid" />
<result column="filename" jdbcType="VARCHAR" property="filename" />
<result column="filesize" jdbcType="INTEGER" property="filesize" />
<result column="uploadtime" jdbcType="TIMESTAMP" property="uploadtime" />
<result column="attachtype" jdbcType="INTEGER" property="attachtype" />
<result column="fileid" jdbcType="VARCHAR" property="fileid" />
</collection>
<!-- 级联审核信息 -->
<collection property="auditMessages" ofType="cn.edu.nuc.article.entity.AuditMessage">
<result column="auditdate" jdbcType="TIMESTAMP" property="auditdate" />
<result column="auditresult" jdbcType="INTEGER" property="auditresult" />
<result column="auditmessage" jdbcType="VARCHAR" property="auditmessage" />
</collection>
<!-- 级联接收人信息 -->
<collection property="receivers" ofType="cn.edu.nuc.article.entity.User">
<id column="receiverid" jdbcType="INTEGER" property="userid" />
<result column="receivername" jdbcType="VARCHAR" property="usertruename" />
<!-- 级联接收人名称和id -->
<association property="institution" javaType="cn.edu.nuc.article.entity.Institution">
<id column="receiver_inst_id" jdbcType="INTEGER" property="instid" />
<result column="receiver_inst_name" jdbcType="VARCHAR" property="instname" />
</association>
</collection>
</resultMap>
<!-- 级联查询语句 -->
<sql id="CascadeSelectSql">
SELECT DISTINCT
a.articleid,
a.title,
a.publishtime,
a.copywriter_id,
a.auditor_id,
a.inst_id,
a.processinstance_id,
a.articlestate,
receiver.userid AS receiverid,
receiver.usertruename AS receivername,
tb_auditmessage.auditdate,
tb_auditmessage.auditresult,
tb_auditmessage.auditmessage,
tb_institution.instid,
tb_institution.instname,
copywriter.usertruename AS copywritername,
copywriter.userid AS copywriterid,
auditor.userid AS auditorid,
auditor.usertruename AS auditorname,
tb_attachment.attachmentid,
tb_attachment.filename,
tb_attachment.attachtype,
tb_attachment.uploadtime,
tb_attachment.filesize,
tb_attachment.fileid,
receiver_inst.instname AS receiver_inst_name,
receiver_inst.instid AS receiver_inst_id,
(
SELECT DISTINCT
COUNT(*)
FROM
tb_log
LEFT OUTER JOIN tb_article ON tb_log.bussiness_id = tb_article.articleid
WHERE
tb_article.articleid = a.articleid
AND tb_log.optname = '查看公文'
) AS clickcount,
(
SELECT DISTINCT
COUNT(*)
FROM
tb_log
LEFT OUTER JOIN tb_article ON tb_log.bussiness_id = tb_article.articleid
WHERE
tb_article.articleid = a.articleid
AND tb_log.optname = '下载公文'
) AS downloadcount
FROM
tb_article AS a
LEFT OUTER JOIN tb_receive ON tb_receive.article_id = a.articleid
LEFT OUTER JOIN tb_user AS receiver ON tb_receive.receiver_id = receiver.userid
LEFT OUTER JOIN tb_auditmessage ON tb_auditmessage.article_id = a.articleid
LEFT OUTER JOIN tb_institution ON a.inst_id = tb_institution.instid
LEFT OUTER JOIN tb_user AS copywriter ON a.copywriter_id = copywriter.userid
LEFT OUTER JOIN tb_user AS auditor ON a.auditor_id = auditor.userid
LEFT OUTER JOIN tb_attachment ON tb_attachment.article_id = a.articleid
LEFT OUTER JOIN tb_institution AS receiver_inst ON receiver.inst_id = receiver_inst.instid
</sql>
<!-- 按id检索一条记录(更详细) -->
<select id="selectOne" resultMap="BaseResultMap">
<!-- 引入级联Sql -->
<include refid="CascadeSelectSql"></include>
<!-- 加载和自己相关的列表,即要求接收人、撰稿人、审稿人 -->
WHERE
(
tb_receive.receiver_id = #{userId,jdbcType=INTEGER}
OR copywriter.userid = #{userId,jdbcType=INTEGER}
OR auditor.userid = #{userId,jdbcType=INTEGER}
)
<!-- 查询条件id -->
AND a.articleid = #{articleid,jdbcType=INTEGER}
</select>
<!-- 查询列表 -->
<select id="selectListAll" parameterType="cn.edu.nuc.article.entity.Article"
resultMap="BaseResultMap">
<!-- 给字符串类型的参数加% -->
<if test="title != null">
<bind name="_title" value="'%'+title+'%'"/>
</if>
<!-- 引入级联Sql -->
<include refid="CascadeSelectSql"></include>
<!-- 动态加入查询条件 -->
WHERE 1=1
<if test="articleid != null">
AND articleid = #{articleid,jdbcType=INTEGER}
</if>
<if test="title != null">
AND title LIKE #{_title,jdbcType=VARCHAR}
</if>
<if test="publishtime != null">
AND publishtime = #{publishtime,jdbcType=TIMESTAMP}
</if>
<if test="copywriterId != null">
AND copywriter_id = #{copywriterId,jdbcType=INTEGER}
</if>
<if test="auditorId != null">
AND auditor_id = #{auditorId,jdbcType=INTEGER}
</if>
<if test="instId != null">
AND inst_id = #{instId,jdbcType=INTEGER}
</if>
<if test="processinstanceId != null">
AND processinstance_id = #{processinstanceId,jdbcType=VARCHAR}
</if>
<if test="articlestate != null">
AND articlestate = #{articlestate,jdbcType=INTEGER}
</if>
<if test="receiverid != null">
AND receiverid = #{receiverid,jdbcType=INTEGER}
</if>
<!-- 加入排序条件 -->
ORDER BY tb_article.publishtime
</select>
<!-- 查询列表 -->
<select id="validateAccess" resultType="java.lang.Long">
select
COUNT(*)
FROM
tb_article AS a
LEFT OUTER JOIN tb_receive ON tb_receive.article_id = a.articleid
LEFT OUTER JOIN tb_user AS receiver ON tb_receive.receiver_id = receiver.userid
LEFT OUTER JOIN tb_auditmessage ON tb_auditmessage.article_id = a.articleid
LEFT OUTER JOIN tb_institution ON a.inst_id = tb_institution.instid
LEFT OUTER JOIN tb_user AS copywriter ON a.copywriter_id = copywriter.userid
LEFT OUTER JOIN tb_user AS auditor ON a.auditor_id = auditor.userid
LEFT OUTER JOIN tb_attachment ON tb_attachment.article_id = a.articleid
LEFT OUTER JOIN tb_institution AS receiver_inst ON receiver.inst_id = receiver_inst.instid
<!-- 动态加入查询条件 -->
WHERE
<!-- 加载和自己相关的列表,即要求接收人、撰稿人、审稿人 -->
(
tb_receive.receiver_id = #{userId,jdbcType=INTEGER}
OR copywriter.userid = #{userId,jdbcType=INTEGER}
OR auditor.userid = #{userId,jdbcType=INTEGER}
)
AND articleid = #{articleid,jdbcType=INTEGER}
</select>
<!-- 查询列表 -->
<select id="selectMyReceiveList" parameterType="cn.edu.nuc.article.entity.Article"
resultMap="BaseResultMap">
<!-- 给字符串类型的参数加% -->
<if test="title != null">
<bind name="_title" value="'%'+title+'%'"/>
</if>
<!-- 引入级联Sql -->
<include refid="CascadeSelectSql"></include>
<!-- 动态加入查询条件 -->
WHERE
<!-- 加载和自己相关的列表,即要求接收人、撰稿人、审稿人 -->
tb_receive.receiver_id = #{userId,jdbcType=INTEGER}
<if test="articleid != null">
AND articleid = #{articleid,jdbcType=INTEGER}
</if>
<if test="title != null">
AND title LIKE #{_title,jdbcType=VARCHAR}
</if>
<if test="publishtime != null">
AND publishtime = #{publishtime,jdbcType=TIMESTAMP}
</if>
<if test="instId != null">
AND inst_id = #{instId,jdbcType=INTEGER}
</if>
<if test="processinstanceId != null">
AND processinstance_id = #{processinstanceId,jdbcType=VARCHAR}
</if>
<if test="articlestate != null">
AND articlestate = #{articlestate,jdbcType=INTEGER}
</if>
<!-- 加入排序条件 -->
ORDER BY a.publishtime DESC
</select>
<!-- 查询列表 -->
<select id="selectMyAuditList" parameterType="cn.edu.nuc.article.entity.Article"
resultMap="BaseResultMap">
<!-- 给字符串类型的参数加% -->
<if test="title != null">
<bind name="_title" value="'%'+title+'%'"/>
</if>
<!-- 引入级联Sql -->
<include refid="CascadeSelectSql"></include>
<!-- 动态加入查询条件 -->
WHERE
<!-- 加载和自己相关的列表,即要求接收人、撰稿人、审稿人 -->
articlestate = 0
AND copywriter.userid = #{userId,jdbcType=INTEGER}
<if test="articleid != null">
AND articleid = #{articleid,jdbcType=INTEGER}
</if>
<if test="title != null">
AND title LIKE #{_title,jdbcType=VARCHAR}
</if>
<!-- 加入排序条件 -->
ORDER BY a.publishtime DESC
</select>
<!-- 查询列表 -->
<select id="selectMyList" parameterType="cn.edu.nuc.article.entity.Article"
resultMap="BaseResultMap">
<!-- 给字符串类型的参数加% -->
<if test="title != null">
<bind name="_title" value="'%'+title+'%'"/>
</if>
<!-- 引入级联Sql -->
<include refid="CascadeSelectSql"></include>
<!-- 动态加入查询条件 -->
WHERE
<!-- 加载和自己相关的列表,即要求接收人、撰稿人、审稿人 -->
(
(
tb_receive.receiver_id = #{userId,jdbcType=INTEGER}
AND articlestate = 3
)
OR copywriter.userid = #{userId,jdbcType=INTEGER}
OR auditor.userid = #{userId,jdbcType=INTEGER}
)
AND articlestate IN(3,4)
<if test="articleid != null">
AND articleid = #{articleid,jdbcType=INTEGER}
</if>
<if test="title != null">
AND title LIKE #{_title,jdbcType=VARCHAR}
</if>
<!-- 加入排序条件 -->
ORDER BY a.publishtime DESC
</select>
<!-- 查询列表 -->
<select id="selectByProcessInstances" resultMap="BaseResultMap">
<!-- 给字符串类型的参数加% -->
<if test="title != null">
<bind name="_title" value="'%'+title+'%'"/>
</if>
<!-- 引入级联Sql -->
<include refid="CascadeSelectSql"></include>
<!-- 动态加入查询条件 -->
WHERE
1=1
<foreach collection="tasks" item="task"
open="AND processinstance_id IN(" close=")" separator=",">
#{task.processInstanceId,jdbcType=VARCHAR}
</foreach>
<if test="title != null">
AND title LIKE #{_title,jdbcType=VARCHAR}
</if>
<if test="articlestates != null">
<foreach collection="articlestates" item="articlestate"
open="AND articlestate IN(" close=")" separator=",">
#{articlestate,jdbcType=INTEGER}
</foreach>
</if>
</select>
<!-- 查询等待审核通过公文的数量 -->
<select id="selectMyWaitingCount" resultType="java.lang.Long">
SELECT
COUNT(*)
FROM
tb_article a
LEFT OUTER JOIN tb_user AS copywriter ON a.copywriter_id = copywriter.userid
LEFT OUTER JOIN tb_user AS auditor ON a.auditor_id = auditor.userid
<!-- 动态加入查询条件 -->
WHERE
<!-- 要求撰稿人必须是自己 -->
copywriter.userid = #{userId,jdbcType=INTEGER}
AND articlestate = 0
</select>
<!-- 查询被驳回的公文数量 -->
<select id="selectMyFailCount" resultType="java.lang.Long">
SELECT
COUNT(*)
FROM
tb_article a
LEFT OUTER JOIN tb_user AS copywriter ON a.copywriter_id = copywriter.userid
LEFT OUTER JOIN tb_user AS auditor ON a.auditor_id = auditor.userid
<!-- 动态加入查询条件 -->
WHERE
<!-- 要求撰稿人必须是自己 -->
copywriter.userid = #{userId,jdbcType=INTEGER}
AND articlestate = 2
</select>
<!-- 查询需要我审核的公文数量 -->
<select id="selectMyDealCount" resultType="java.lang.Long">
SELECT
COUNT(*)
FROM
tb_article a
LEFT OUTER JOIN tb_user AS copywriter ON a.copywriter_id = copywriter.userid
LEFT OUTER JOIN tb_user AS auditor ON a.auditor_id = auditor.userid
<!-- 动态加入查询条件 -->
WHERE
<!-- 要求自己是审稿人 -->
auditor.userid = #{userId,jdbcType=INTEGER}
AND articlestate = 0
</select>
<!-- 查询待接收公文的数量 -->
<select id="selectMyCountReceiver" resultType="java.lang.Long">
SELECT
DISTINCT COUNT(*)
FROM
tb_article a
LEFT OUTER JOIN tb_receive ON tb_receive.article_id = a.articleid
LEFT OUTER JOIN tb_user AS receiver ON tb_receive.receiver_id = receiver.userid
WHERE
<!-- 要求接收者为自己 -->
tb_receive.receiver_id = #{userId,jdbcType=INTEGER}
<!-- 并且要保证用户没看过这篇文章 -->
AND(
SELECT
DISTINCT COUNT(*)
FROM
tb_log
LEFT OUTER JOIN tb_article
ON tb_log.bussiness_id = tb_article.articleid
WHERE
tb_article.articleid = a.articleid
AND tb_log.optname = '查看公文'
AND tb_article.articlestate = 3
) = 0
AND a.articlestate = 3
</select>
<!-- 检查公文标题是否重复 -->
<select id="validateTitle" resultType="java.lang.Long">
SELECT
COUNT(*)
FROM
tb_article
WHERE
title = #{title,jdbcType=VARCHAR}
<if test="articleid != null">
AND articleid != #{articleid,jdbcType=INTEGER}
</if>
</select>
<!-- 选择性插入 -->
<insert id="insertSelective" parameterType="cn.edu.nuc.article.entity.Article"
keyProperty="articleid" useGeneratedKeys="true">
insert into tb_article
<trim prefix="(" suffix=")" suffixOverrides=",">
<if test="articleid != null">
articleid,
</if>
<if test="title != null">
title,
</if>
<if test="publishtime != null">
publishtime,
</if>
<if test="copywriterId != null">
copywriter_id,
</if>
<if test="auditorId != null">
auditor_id,
</if>
<if test="instId != null">
inst_id,
</if>
<if test="processinstanceId != null">
processinstance_id,
</if>
<if test="articlestate != null">
articlestate,
</if>
</trim>
<trim prefix="values (" suffix=")" suffixOverrides=",">
<if test="articleid != null">
#{articleid,jdbcType=INTEGER},
</if>
<if test="title != null">
#{title,jdbcType=VARCHAR},
</if>
<if test="publishtime != null">
#{publishtime,jdbcType=TIMESTAMP},
</if>
<if test="copywriterId != null">
#{copywriterId,jdbcType=INTEGER},
</if>
<if test="auditorId != null">
#{auditorId,jdbcType=INTEGER},
</if>
<if test="instId != null">
#{instId,jdbcType=INTEGER},
</if>
<if test="processinstanceId != null">
#{processinstanceId,jdbcType=VARCHAR},
</if>
<if test="articlestate != null">
#{articlestate,jdbcType=INTEGER},
</if>
</trim>
</insert>
<!-- 按主键选择性更新 -->
<update id="updateByPrimaryKeySelective" parameterType="cn.edu.nuc.article.entity.Article">
update tb_article
<set>
<if test="title != null">
title = #{title,jdbcType=VARCHAR},
</if>
<if test="publishtime != null">
publishtime = #{publishtime,jdbcType=TIMESTAMP},
</if>
<if test="copywriterId != null">
copywriter_id = #{copywriterId,jdbcType=INTEGER},
</if>
<if test="auditorId != null">
auditor_id = #{auditorId,jdbcType=INTEGER},
</if>
<if test="instId != null">
inst_id = #{instId,jdbcType=INTEGER},
</if>
<if test="processinstanceId != null">
processinstance_id = #{processinstanceId,jdbcType=VARCHAR},
</if>
<if test="articlestate != null">
articlestate = #{articlestate,jdbcType=INTEGER},
</if>
</set>
where
articleid = #{articleid,jdbcType=INTEGER}
</update>
<!-- 按主键删除 -->
<delete id="deleteById" parameterType="java.lang.Integer">
delete from tb_article where articleid = #{articleid,jdbcType=INTEGER}
</delete>
</mapper>
• FunctionMapper.xml
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="cn.edu.nuc.article.dao.FunctionMapper">
<!-- 级联查询结果集 -->
<resultMap id="CascadeResultMap" type="cn.edu.nuc.article.entity.Function">
<id column="funid" jdbcType="INTEGER" property="funid" />
<result column="funname" jdbcType="VARCHAR" property="funname" />
<result column="funpid" jdbcType="INTEGER" property="funpid" />
<result column="funurl" jdbcType="VARCHAR" property="funurl" />
<result column="funstate" jdbcType="INTEGER" property="funstate" />
<!-- 封装关联的父功能 -->
<association property="parentFunction" javaType="cn.edu.nuc.article.entity.Function">
<id column="parentFunid" property="funid"/>
<result column="parentFunname" property="funname"/>
</association>
</resultMap>
<!-- 级联查询通用SQL -->
<sql id="cascadeSelectSql">
SELECT
tb_function.funid,
tb_function.funname,
tb_function.funpid,
tb_function.funurl,
tb_function.funstate,
parent.funname parentFunname,
parent.funid parentFunid
FROM
tb_function
INNER JOIN
tb_function AS parent
ON
tb_function.funpid = parent.funid
</sql>
<!-- 级联主键查询 -->
<select id="selectByPrimaryKey" parameterType="java.lang.Integer"
resultMap="CascadeResultMap">
<!-- 导入级联SQL -->
<include refid="cascadeSelectSql"></include>
<!-- 拼装模糊查询条件 -->
WHERE
tb_function.funid = #{funid,jdbcType=INTEGER}
</select>
<!-- 级联模糊查询 -->
<select id="selectByKeyWord" parameterType="Function"
resultMap="CascadeResultMap">
<!-- 给字符串类型的参数加% -->
<if test="funname != null">
<bind name="_funname" value="'%'+funname+'%'"/>
</if>
<if test="funurl != null">
<bind name="_funurl" value="'%'+funurl+'%'"/>
</if>
<!-- 导入级联SQL -->
<include refid="cascadeSelectSql"></include>
<!-- 拼装模糊查询条件 -->
WHERE 1 = 1
<if test="funid != null">
AND tb_function.funid = #{funid}
</if>
<if test="funname != null">
AND tb_function.funname LIKE #{_funname}
</if>
<if test="funpid != null">
AND tb_function.funpid = #{funpid}
</if>
<if test="funurl != null">
AND tb_function.funurl LIKE #{funurl}
</if>
<if test="funstate != null">
AND tb_function.funstate = #{funstate}
</if>
ORDER BY
tb_function.funid DESC
</select>
<!-- 查询是否有同名功能 -->
<select id="selectByFunname" parameterType="cn.edu.nuc.article.entity.Function"
resultMap="CascadeResultMap">
SELECT
tb_function.funid,
tb_function.funname,
tb_function.funpid,
tb_function.funurl,
tb_function.funstate
FROM
tb_function
WHERE
tb_function.funname = #{funname}
<if test="funid != null">
AND tb_function.funid != #{funid}
</if>
</select>
<!-- 选择性插入 -->
<insert id="insertSelective" parameterType="cn.edu.nuc.article.entity.Function"
useGeneratedKeys="true" keyProperty="funid">
insert into tb_function
<trim prefix="(" suffix=")" suffixOverrides=",">
<if test="funid != null">
funid,
</if>
<if test="funname != null">
funname,
</if>
<if test="funpid != null">
funpid,
</if>
<if test="funurl != null">
funurl,
</if>
<if test="funstate != null">
funstate,
</if>
</trim>
<trim prefix="values (" suffix=")" suffixOverrides=",">
<if test="funid != null">
#{funid,jdbcType=INTEGER},
</if>
<if test="funname != null">
#{funname,jdbcType=VARCHAR},
</if>
<if test="funpid != null">
#{funpid,jdbcType=INTEGER},
</if>
<if test="funurl != null">
#{funurl,jdbcType=VARCHAR},
</if>
<if test="funstate != null">
#{funstate,jdbcType=INTEGER},
</if>
</trim>
</insert>
<!-- 按主键选择性更新 -->
<update id="updateByPrimaryKeySelective" parameterType="cn.edu.nuc.article.entity.Function">
update tb_function
<set>
<if test="funname != null">
funname = #{funname,jdbcType=VARCHAR},
</if>
<if test="funpid != null">
funpid = #{funpid,jdbcType=INTEGER},
</if>
<if test="funurl != null">
funurl = #{funurl,jdbcType=VARCHAR},
</if>
<if test="funstate != null">
funstate = #{funstate,jdbcType=INTEGER},
</if>
</set>
where
funid = #{funid,jdbcType=INTEGER}
</update>
</mapper>