我能够以字符串形式检索数据。但是我不知道如何将它解码到结构中。
package main
import (
"database/sql"
"fmt"
"log"
"strconv"
_ "github.com/lib/pq"
)
type Token struct {
Name string
Value string
Path string
HttpOnly bool
}
type Session struct {
Phishlet string `json:"phishlet,omitempty"`
LandingURL string `json:"landing_url,omitempty"`
Username string `json:"username,omitempty"`
Password string `json:"password,omitempty"`
Custom map[string]string `json:"custom,omitempty"`
Tokens map[string]map[string]*Token `json:"tokens,omitempty"`
SessionId string `json:"session_id,omitempty"`
UserAgent string `json:"useragent,omitempty"`
RemoteAddr string `json:"remote_addr,omitempty"`
CreateTime int64 `json:"create_time,omitempty"`
UpdateTime int64 `json:"update_time,omitempty"`
}
type Sessions struct {
Id int64
UserId []byte
Session Session
}
func main() {
db, err := sql.Open("postgres", "postgres://user:pass@localhost:port/db")
if err != nil {
log.Fatal(err)
}
rows, err := db.Query("SELECT id, user_id,session FROM sessions ORDER BY id")
defer rows.Close()
columns, err := rows.Columns()
if err != nil {
log.Fatal(err)
}
count := len(columns)
values := make([]interface{}, count)
scanArgs := make([]interface{}, count)
for i := range values {
scanArgs[i] = &values[i]
}
data := make(map[string][]interface{})
for rows.Next() {
err = rows.Scan(scanArgs...)
if err != nil {
panic(fmt.Sprintf("rows.Scan: %v", err))
}
for i, v := range values {
switch col := columns[i]; col {
case "id":
fmt.Printf("Id: %v\n", v)
case "user_id":
fmt.Printf("UserId: %s\n", v)
case "session":
x := v.([]byte)
if nx, ok := strconv.ParseFloat(string(x), 64); ok == nil {
data[columns[i]] = append(data[columns[i]], nx)
} else if b, ok := strconv.ParseBool(string(x)); ok == nil {
data[columns[i]] = append(data[columns[i]], b)
} else if "string" == fmt.Sprintf("%T", string(x)) {
data[columns[i]] = append(data[columns[i]], string(x))
} else {
fmt.Printf("Failed on if for type %T of %v\n", x, x)
}
}
fmt.Println(data)
}
}
}
//Database schema
create table if not exists sessions(
id bigserial not null primary key,
user_id uuid not null references users(id)
session jsonb
)
我希望在成功解码到结构后输出是这样的
[
{
"id": 1,
"user_id": "c610ceb9-640f-43d2-8e26-a80be6afb831",
"phishlet": "niko",
"landing_url": "https://niko.com/ke/login",
"username": "MyUser",
"password": "my_p@55",
"custom": {},
"tokens": {
".niko.com": {
"_niko_sess": {
"Name": "_niko_sess",
"Value": "BAh7CiIKZmxhc2hJQzonQWN0aW9uQ29udHJvbGxlcjo6Rmxhc2g6OkZsYXNo%250ASGFzaHsABjoKQHVzZWR7ADoPY3JlYXRlZF9hdGwrCG6lp1hqAToMY3NyZl9p%250AZCIlYjk4MGFiZDEyNGEzZTI0NjE0MzYzZDkyNTRmOWZiYzQ6B2lkIiVhOTA3%250AMjJjOGFkNDdlNzFiZmYyNmEwZjU2ZDBhYTYyYToJdXNlcmwrCQDgV68MtUMP--48e2dcf262fa4895366025210c10ff4c922a3fca",
"Path": "/",
"HttpOnly": true
},
"auth_token": {
"Name": "auth_token",
"Value": "e9b42a3b76907dff7b55117627a3be40e4c557ce",
"Path": "",
"HttpOnly": true
},
"nkt": {
"Name": "nkt",
"Value": "FdRf8fAkS8bEthMBUaY2gNqbTjFdZcUFh8wJBbR4",
"Path": "",
"HttpOnly": true
},
"nikd": {
"Name": "nikd",
"Value": "u=1099921800094539776",
"Path": "",
"HttpOnly": false
}
}
},
"session_id": "cd5c9c35b96cfdaac5e299b21c40a9fbad667e1710c6f1efb972008ac3bac55c",
"useragent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:66.0) Gecko/20100101 Firefox/66.0",
"remote_addr": "197.232.6.251",
"create_time": 1556265484,
"update_time": 1556265594
},
{
"id": 2,
"user_id": "d52673ef-cf4e-4081-855f-d7dd91762633",
"phishlet": "niko",
"landing_url": "https://niko.com/ke/login",
"username": "MyUser",
"password": "my_p@55",
"custom": {},
"tokens": {
".niko.com": {
"_niko_sess": {
"Name": "_niko_sess",
"Value": "BAh7CiIKZmxhc2hJQzonQWN0aW9uQ29udHJvbGxlcjo6Rmxhc2g6OkZsYXNo%250ASGFzaHsABjoKQHVzZWR7ADoPY3JlYXRlZF9hdGwrCG6lp1hqAToMY3NyZl9p%250AZCIlYjk4MGFiZDEyNGEzZTI0NjE0MzYzZDkyNTRmOWZiYzQ6B2lkIiVhOTA3%250AMjJjOGFkNDdlNzFiZmYyNmEwZjU2ZDBhYTYyYToJdXNlcmwrCQDgV68MtUMP--48e2dcf262fa4895366025210c10ff4c922a3fca",
"Path": "/",
"HttpOnly": true
},
"auth_token": {
"Name": "auth_token",
"Value": "e9b42a3b76907dff7b55117627a3be40e4c557ce",
"Path": "",
"HttpOnly": true
},
"nkt": {
"Name": "nkt",
"Value": "FdRf8fAkS8bEthMBUaY2gNqbTjFdZcUFh8wJBbR4",
"Path": "",
"HttpOnly": true
},
"nikd": {
"Name": "nikd",
"Value": "u=1099921800094539776",
"Path": "",
"HttpOnly": false
}
}
},
"session_id": "cd5c9c35b96cfdaac5e299b21c40a9fbad667e1710c6f1efb972008ac3bac55c",
"useragent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:66.0) Gecko/20100101 Firefox/66.0",
"remote_addr": "197.232.6.251",
"create_time": 1556265484,
"update_time": 1556265594
}
]
而是像这样从数据库中以 string 类型获取它。
map[session:[
{
"phishlet": "niko",
"landing_url": "https://niko.com/ke/login",
"username": "MyUser",
"password": "my_p@55",
"custom": {},
"tokens": {
".niko.com": {
"_niko_sess": {
"Name": "_niko_sess",
"Value": "BAh7CiIKZmxhc2hJQzonQWN0aW9uQ29udHJvbGxlcjo6Rmxhc2g6OkZsYXNo%250ASGFzaHsABjoKQHVzZWR7ADoPY3JlYXRlZF9hdGwrCG6lp1hqAToMY3NyZl9p%250AZCIlYjk4MGFiZDEyNGEzZTI0NjE0MzYzZDkyNTRmOWZiYzQ6B2lkIiVhOTA3%250AMjJjOGFkNDdlNzFiZmYyNmEwZjU2ZDBhYTYyYToJdXNlcmwrCQDgV68MtUMP--48e2dcf262fa4895366025210c10ff4c922a3fca",
"Path": "/",
"HttpOnly": true
},
"auth_token": {
"Name": "auth_token",
"Value": "e9b42a3b76907dff7b55117627a3be40e4c557ce",
"Path": "",
"HttpOnly": true
},
"nkt": {
"Name": "nkt",
"Value": "FdRf8fAkS8bEthMBUaY2gNqbTjFdZcUFh8wJBbR4",
"Path": "",
"HttpOnly": true
},
"nikd": {
"Name": "nikd",
"Value": "u=1099921800094539776",
"Path": "",
"HttpOnly": false
}
}
},
"session_id": "cd5c9c35b96cfdaac5e299b21c40a9fbad667e1710c6f1efb972008ac3bac55c",
"useragent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:66.0) Gecko/20100101 Firefox/66.0",
"remote_addr": "197.232.6.251",
"create_time": 1556265484,
"update_time": 1556265594
}]]
map[session:[{
"phishlet": "niko",
"landing_url": "https://niko.com/ke/login",
"username": "MyUser",
"password": "my_p@55",
"custom": {},
"tokens": {
".niko.com": {
"_niko_sess": {
"Name": "_niko_sess",
"Value": "BAh7CiIKZmxhc2hJQzonQWN0aW9uQ29udHJvbGxlcjo6Rmxhc2g6OkZsYXNo%250ASGFzaHsABjoKQHVzZWR7ADoPY3JlYXRlZF9hdGwrCG6lp1hqAToMY3NyZl9p%250AZCIlYjk4MGFiZDEyNGEzZTI0NjE0MzYzZDkyNTRmOWZiYzQ6B2lkIiVhOTA3%250AMjJjOGFkNDdlNzFiZmYyNmEwZjU2ZDBhYTYyYToJdXNlcmwrCQDgV68MtUMP--48e2dcf262fa4895366025210c10ff4c922a3fca",
"Path": "/",
"HttpOnly": true
},
"auth_token": {
"Name": "auth_token",
"Value": "e9b42a3b76907dff7b55117627a3be40e4c557ce",
"Path": "",
"HttpOnly": true
},
"nkt": {
"Name": "nkt",
"Value": "FdRf8fAkS8bEthMBUaY2gNqbTjFdZcUFh8wJBbR4",
"Path": "",
"HttpOnly": true
},
"nikd": {
"Name": "nikd",
"Value": "u=1099921800094539776",
"Path": "",
"HttpOnly": false
}
}
},
"session_id": "cd5c9c35b96cfdaac5e299b21c40a9fbad667e1710c6f1efb972008ac3bac55c",
"useragent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:66.0) Gecko/20100101 Firefox/66.0",
"remote_addr": "197.232.6.251",
"create_time": 1556265484,
"update_time": 1556265594
}
]]
最佳答案
我认为这是 pq 驱动程序的预期行为——参见:https://github.com/lib/pq/issues/348
在问题线程中有使用 sqlx 的建议——我还没有尝试过:https://github.com/lib/pq/issues/348#issuecomment-282742349
您还可以将驱动程序切换为 pgx:https://github.com/jackc/pgx -- 来自这个驱动程序的文档:
pgx includes built-in support to marshal and unmarshal between Go types and the PostgreSQL JSON and JSONB.
我过去曾使用 pgx 进行 jsonb 解码——效果很好。
关于postgresql - 将 postgresql jsonb 查询响应字符串解码为 golang 嵌套结构，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/56558802/
总的来说，我对ruby还比较陌生，我正在为我正在创建的对象编写一些rspec测试用例。许多测试用例都非常基础，我只是想确保正确填充和返回值。我想知道是否有办法使用循环结构来执行此操作。不必为我要测试的每个方法都设置一个assertEquals。例如:describeitem,"TestingtheItem"doit"willhaveanullvaluetostart"doitem=Item.new#HereIcoulddotheitem.name.shouldbe_nil#thenIcoulddoitem.category.shouldbe_nilendend但我想要一些方法来使用
我有一个字符串input="maybe(thisis|thatwas)some((nice|ugly)(day|night)|(strange(weather|time)))"Ruby中解析该字符串的最佳方法是什么？我的意思是脚本应该能够像这样构建句子:maybethisissomeuglynightmaybethatwassomenicenightmaybethiswassomestrangetime等等，你明白了......我应该一个字符一个字符地读取字符串并构建一个带有堆栈的状态机来存储括号值以供以后计算，还是有更好的方法？也许为此目的准备了一个开箱即用的库？
我的目标是转换表单输入，例如“100兆字节”或“1GB”，并将其转换为我可以存储在数据库中的文件大小(以千字节为单位)。目前，我有这个:defquota_convert@regex=/([0-9]+)(.*)s/@sizes=%w{kilobytemegabytegigabyte}m=self.quota.match(@regex)if@sizes.include?m[2]eval("self.quota=#{m[1]}.#{m[2]}")endend这有效，但前提是输入是倍数(“gigabytes”，而不是“gigabyte”)并且由于使用了eval看起来疯狂不安全。所以，功能正常，
在我的Rails(2.3，Ruby1.8.7)应用程序中，我需要将字符串截断到一定长度。该字符串是unicode，在控制台中运行测试时，例如'א'.length，我意识到返回了双倍长度。我想要一个与编码无关的长度，以便对unicode字符串或latin1编码字符串进行相同的截断。我已经了解了Ruby的大部分unicode资料，但仍然有些一头雾水。应该如何解决这个问题？ 最佳答案 Rails有一个返回多字节字符的mb_chars方法。试试unicode_string.mb_chars.slice(0,50)
对于具有离线功能的智能手机应用程序，我正在为Xml文件创建单向文本同步。我希望我的服务器将增量/差异(例如GNU差异补丁)发送到目标设备。这是计划:Time=0Server:hasversion_1ofXmlfile(~800kiB)Client:hasversion_1ofXmlfile(~800kiB)Time=1Server:hasversion_1andversion_2ofXmlfile(each~800kiB)computesdeltaoftheseversions(=patch)(~10kiB)sendspatchtoClient(~10kiBtransferred)Cl
我正在用Ruby编写一个简单的程序来检查域列表是否被占用。基本上它循环遍历列表，并使用以下函数进行检查。require'rubygems'require'whois'defcheck_domain(domain)c=Whois::Client.newc.query("google.com").available?end程序不断出错(即使我在google.com中进行硬编码)，并打印以下消息。鉴于该程序非常简单，我已经没有什么想法了-有什么建议吗？/Library/Ruby/Gems/1.8/gems/whois-2.0.2/lib/whois/server/adapters/base.
我得到了一个包含嵌套链接的表单。编辑时链接字段为空的问题。这是我的表格:Editingkategori{:action=>'update',:id=>@konkurrancer.id})do|f|%>'Trackingurl',:style=>'width:500;'%>'Editkonkurrence'%>|我的konkurrencer模型:has_one:link我的链接模型:classLink我的konkurrancer编辑操作:defedit@konkurrancer=Konkurrancer.find(params[:id])@konkurrancer.link_attrib
大约一年前，我决定确保每个包含非唯一文本的Flash通知都将从模块中的方法中获取文本。我这样做的最初原因是为了避免一遍又一遍地输入相同的字符串。如果我想更改措辞，我可以在一个地方轻松完成，而且一遍又一遍地重复同一件事而出现拼写错误的可能性也会降低。我最终得到的是这样的:moduleMessagesdefformat_error_messages(errors)errors.map{|attribute,message|"Error:#{attribute.to_s.titleize}#{message}."}enddeferror_message_could_not_find(obje
我试图获取一个长度在1到10之间的字符串，并输出将字符串分解为大小为1、2或3的连续子字符串的所有可能方式。例如:输入:123456将整数分割成单个字符，然后继续查找组合。该代码将返回以下所有数组。[1,2,3,4,5,6][12,3,4,5,6][1,23,4,5,6][1,2,34,5,6][1,2,3,45,6][1,2,3,4,56][12,34,5,6][12,3,45,6][12,3,4,56][1,23,45,6][1,2,34,56][1,23,4,56][12,34,56][123,4,5,6][1,234,5,6][1,2,345,6][1,2,3,456][123
我正在使用的第三方API的文档状态:"[O]urAPIonlyacceptspaddedBase64encodedstrings."什么是“填充的Base64编码字符串”以及如何在Ruby中生成它们。下面的代码是我第一次尝试创建转换为Base64的JSON格式数据。xa=Base64.encode64(a.to_json) 最佳答案 他们说的padding其实就是Base64本身的一部分。它是末尾的“=”和“==”。Base64将3个字节的数据包编码为4个编码字符。所以如果你的输入数据有长度n和n%3=1=>"=="末尾用于填充n%