我正在尝试将base10编码数据转换为base64或xml或任何可读格式,但没有成功。
扫描二维码后的数据如下: 2374971804270526477833002468783965837992554564899874087591661303561346432389832047870524302186901344489362368642972767716 416349990805756094923115719687656090691368051627957878187788907419297818953295185555346288172578594637886352753543271000481 717080003254556962148594350559820352806251787713278744047402230989238559317351232114240089849934148895256488140236015024800 731753594740948640957680138566468247224859669467819596919398964809164399637893729212452791889199675715949918925838319591794 702333094022248132120531152523331442741730158840977243402215102904932650832502847295644794421419704633765033761284508863534 321317394686768650111457751139630853448637215423705157211510636160227953566227527799608082928846103264491539001327407775670 834868948113753614112563650255058316849200536533335903554984254814901522086937767458409075617572843449110393213525925388131 214952874629655799772119820372255291052673056372346072235458198199995637720424196884145247220163810790179386390283738429482 893152518286247124911446073389185062482901364671389605727763080854673156754021728522287806275420847159574631844674460263574 901590412679291518508010087116598357407343835408554094619585212373168435612645646129147973594416508676872819776522537778717 985070402222824965034768103900739105784663244748432502180989441389718131079445941981681118258324511923246198334046020123727 749408128519721102477302359413240175102907322619462289965085963377744024233678337951462006962521823224880199210318367946130 004264196899778609815012001799773327514133268825910089483612283510244566484854597156100473055413090101948456959122378865704 840756793122956663218517626099291311352417342899623681483097817511136427210593032393600010728324905512596767095096153856032 112835755780472808814199620390836980020899858288860556611564167406292139646289142056168261133256777093245980048335918156712 295254776487472431445495668303900536289283098315798552328294391152828182614909451410115516297083658174657554955228963550255 866282688308751041517464999930825273776417639569977754844191402927594739069037851707477839207593911886893016618794870530622 356073909077832279869798641545167528509966656120623184120128052588408742941658045827255866966100249857968956536613250770326 334844204927432961924987891433020671754710428050564671868464658436926086493709176888821257183419013229795869757265111599482 263223604228286513011751601176504567030118257385997460972803240338899836840030438830725520798480181575861397469056536579877 274090338750406459700907704031830137890544492015701251066934352867527112361743047684237105216779177819594030160887368311805 926405114938744235859610328064947158936962470654636736991567663705830950312548447653861922078087824048793236971354828540758 657075837209006713701763902429652486225300535997260665898927924843608750347193892239342462507130025307878412116604096773706 728162016134101751551184021079984480254041743057914746472840768175369369852937574401874295943063507273467384747124843744395 375119899278823903202010381949145094804675442110869084589592876721655764753871572233276245590041302887094585204427900634246 823674277680009401177473636685542700515621164233992970974893989913447733956146698563285998205950467321954304
我尝试过旧的 adhar qr 扫描,它提供 xml 格式,我正在解析和获取数据,但如果扫描新的 adhar qr 代码获取上述格式,我也不知道它是什么格式。我需要解码这些数据并获得正确的格式,例如 xml 或对象格式。
这是我的代码:
if (view == qr_check_box) {
Intent intent = new Intent(AbhaCard.this, ScanActivty.class);
startActivityForResult(intent, abhaQr);
}
protected void onActivityResult(int requestCode, int resultCode, @Nullable Intent data) {
super.onActivityResult(requestCode, resultCode, data);
if (requestCode == abhaQr && resultCode == RESULT_OK) {
if (data != null) {
Barcode barcode = data.getParcelableExtra("barcode");
if (barcode != null && barcode.displayValue != null) {
try {
// Serializer(Simple library) is used for parsing xml data to object
Serializer serializer = new Persister();
String barcode_sting = barcode.displayValue;
scanResult.setText(barcode_sting);
Log.e("QR_code", barcode_sting);
try (InputStream stream = new ByteArrayInputStream(barcode_sting.getBytes())) {
// this serializer is user for converting xml to object(PrintLetterBarcodeData) in case of old adhar card scanning , so i want for new adhar cared qr code , how to convert.
barcodeData = serializer.read(PrintLetterBarcodeData.class, stream);
} catch (IOException e) {
e.printStackTrace();
}}**
// 这是我的 PrintLetterBarcodeData 类,用于将 xml 解析为对象
@Root(name = "PrintLetterBarcodeData")
public class PrintLetterBarcodeData {
@Attribute(name = "uid")
private String uid;
@Attribute(name = "name")
private String name;
@Attribute(name = "gender")
private String gender;
@Attribute(name = "yob")
private String yob;
@Attribute(name = "co")
private String co;
@Attribute(name = "house")
private String house;
@Attribute(name = "street")
private String street;
@Attribute(name = "vtc")
private String vtc;
@Attribute(name = "po")
private String po;
@Attribute(name = "dist")
private String dist;
@Attribute(name = "subdist")
private String subdist;
@Attribute(name = "state")
private String state;
@Attribute(name = "pc")
private String pc;
@Attribute(name = "dob")
private String dob;}
这是python解决方案,如果有人知道python请在java中转换,请在此处发送代码。
import zlib
details = ["version","email_mobile_status","referenceid", "name", "dob",
"gender",
"careof", "district", "landmark", "house",
"location",
"pincode", "postoffice", "state", "street", "subdistrict", "vtc"]
delimeter = [-1]
data = {}
def initializeData(base10encodedData):
bytes_array = base10encodedData.to_bytes(5000, 'big').lstrip(b'\x00')
decompressed_array = zlib.decompress(bytes_array, 16 + zlib.MAX_WBITS)
if not decompressed_array[0:2].decode("ISO-8859-1") == 'V2':
details.pop(0)
for i in range(len(decompressed_array)):
if decompressed_array[i] == 255:
delimeter.append(i)
for i in range(len(details)):
data[details[i]] = decompressed_array[delimeter[i] + 1:delimeter[i +
1]].decode("ISO-8859-1")
data['adhaar_last_4_digit'] = data['referenceid'][0:4]
data['adhaar_last_digit'] = data['referenceid'][3]
data['mobile'] = False
if int(data['email_mobile_status']) == 3 or
int(data['email_mobile_status']) == 2:
data['mobile'] = True
var 详细信息 = arrayOf(
“版本”,“email_mobile_status”,“referenceid”,“名称”,“出生日期”,
“性别”,
“照顾”、“地区”、“地标”、“房子”、
“地点”,
“pincode”、“邮局”、“州”、“街道”、“分区”、“vtc”
)
var delimeter = intArrayOf(-1)
var 数据:HashMap
open fun initializeData(base10encodedData: Int) {
val bytes_array = ByteArray(5000)
for (i in 0..4999) {
bytes_array[i] = (base10encodedData shr 8 * (5000 - i - 1) and 0xFF).toByte()
}
var startIndex = 0
while (startIndex < 5000 && bytes_array[startIndex].toInt() == 0) {
startIndex++
}
val trimmed_array = ByteArray(5000 - startIndex)
System.arraycopy(bytes_array, startIndex, trimmed_array, 0, 5000 - startIndex)
val inflater = Inflater(true)
inflater.setInput(trimmed_array)
val decompressed_array = ByteArray(5000)
try {
inflater.inflate(decompressed_array)
} catch (e: DataFormatException) {
e.printStackTrace()
}
inflater.end()
val decompressed_string = String(decompressed_array, StandardCharsets.ISO_8859_1)
if (decompressed_string.substring(0, 2) != "V2") {
details = Arrays.copyOfRange(details, 1, details.size)
}
var index = 0
while (index < decompressed_string.length) {
if (decompressed_string[index].code == 255) {
delimeter = Arrays.copyOf(delimeter, delimeter.size + 1)
delimeter[delimeter.size - 1] = index
}
index++
}
for (i in details.indices) {
val start = delimeter[i] + 1
val end = delimeter[i + 1]
val value = decompressed_string.substring(start, end)
data[details[i]] = value
}
data["adhaar_last_4_digit"] = data["referenceid"]!!.substring(0, 4)
data["adhaar_last_digit"] = Character.toString(data["referenceid"]!![3])
data["mobile"] = "false"
if (data["email_mobile_status"]!!.toInt() == 3 ||
data["email_mobile_status"]!!.toInt() == 2
) {
data["mobile"] = "true"
}
}