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原創(chuàng)：扣釘日記（微信公眾號(hào)ID：codelogs），歡迎分享，轉(zhuǎn)載請(qǐng)保留出處。

簡(jiǎn)介

如果說(shuō)要給Linux文本三劍客(grep、sed、awk)添加一員的話，我覺(jué)得應(yīng)該是jq命令，因?yàn)閖q命令是用來(lái)處理json數(shù)據(jù)的工具，而現(xiàn)如今json幾乎無(wú)所不在！

網(wǎng)上的jq命令分享文章也不少，但大多介紹得非常淺，jq的強(qiáng)大之處完全沒(méi)有介紹出來(lái)，所以就有了這篇文章，安利一下jq這個(gè)命令。

基本用法

格式化

# jq默認(rèn)的格式化輸出
$ echo -n '{"id":1, "name":"zhangsan", "score":[75, 85, 90]}'|jq .
{
  "id": 1,
  "name": "zhangsan",
  "score": [
    75,
    85,
    90
  ]
}

# -c選項(xiàng)則是壓縮到1行輸出
$ jq -c . <<eof
{
  "id": 1,
  "name": "zhangsan",
  "score": [
    75,
    85,
    90
  ]
}
eof
{"id":1,"name":"zhangsan","score":[75,85,90]}

屬性提取

# 獲取id字段
$ echo -n '{"id":1, "name":"zhangsan", "score":[75, 85, 90]}'|jq '.id'
1
# 獲取name字段
$ echo -n '{"id":1, "name":"zhangsan", "score":[75, 85, 90]}'|jq '.name'
"zhangsan"

# 獲取name字段，-r 解開(kāi)字符串引號(hào)
$ echo -n '{"id":1, "name":"zhangsan", "score":[75, 85, 90]}'|jq -r '.name'
zhangsan

# 多層屬性值獲取
$ echo -n '{"id":1, "name":"zhangsan", "attr":{"height":1.78,"weight":"60kg"}}'|jq '.attr.height'
1.78

# 獲取數(shù)組中的值
$ echo -n '{"id":1, "name":"zhangsan", "score":[75, 85, 90]}'|jq -r '.score[0]'
75

$ echo -n '[75, 85, 90]'|jq -r '.[0]'
75

# 數(shù)組截取
$ echo -n '[75, 85, 90]'|jq -r '.[1:3]'
[
  85,
  90
]

# []展開(kāi)數(shù)組
$ echo -n '[75, 85, 90]'|jq '.[]'
75
85
90

# ..展開(kāi)所有結(jié)構(gòu)
$ echo -n '{"id":1, "name":"zhangsan", "score":[75, 85, 90]}'|jq -c '..'
{"id":1,"name":"zhangsan","score":[75,85,90]}
1
"zhangsan"
[75,85,90]
75
85
90

# 從非對(duì)象類型中提取字段，會(huì)報(bào)錯(cuò)
$ echo -n '{"id":1, "name":"zhangsan", "attr":{"height":1.78,"weight":"60kg"}}'|jq '.name.alias'
jq: error (at <stdin>:0): Cannot index string with string "alias"

# 使用?號(hào)可以避免這種報(bào)錯(cuò)
$ echo -n '{"id":1, "name":"zhangsan", "attr":{"height":1.78,"weight":"60kg"}}'|jq '.name.alias?'

# //符號(hào)用于，當(dāng)前面的表達(dá)式取不到值時(shí)，執(zhí)行后面的表達(dá)式
$ echo -n '{"id":1, "name":"zhangsan", "attr":{"height":1.78,"weight":"60kg"}}'|jq '.alias//.name'
"zhangsan"

管道、逗號(hào)與括號(hào)

# 管道可以將值從前一個(gè)命令傳送到后一個(gè)命令
$ echo -n '{"id":1, "name":"zhangsan", "attr":{"height":1.78,"weight":"60kg"}}'|jq '.attr|.height'
1.78

# jq中做一些基礎(chǔ)運(yùn)算也是可以的
$ echo -n '{"id":1, "name":"zhangsan", "attr":{"height":1.78,"weight":"60kg"}}'|jq '.attr|.height*100|tostring + "cm"'
"178cm"

# 逗號(hào)使得可以執(zhí)行多個(gè)jq表達(dá)式，使得一個(gè)輸入可計(jì)算出多個(gè)輸出結(jié)果
$ echo 1 | jq '., ., .'
1
1
1

# 括號(hào)用于提升表達(dá)式的優(yōu)先級(jí)，如下：逗號(hào)優(yōu)先級(jí)低于算術(shù)運(yùn)算
$ $ echo '1'|jq '.+1, .*2'
2
2

$ echo '1'|jq '(.+1, .)*2'
4
2

# 管道優(yōu)先級(jí)低于逗號(hào)
$ echo '1'|jq '., .|tostring'
"1"
"1"

$ echo '1'|jq '., (.|tostring)'
1
"1"

理解jq執(zhí)行過(guò)程

表面上jq是用來(lái)處理json數(shù)據(jù)的，但實(shí)際上jq能處理的是任何json基礎(chǔ)元素所形成的流，如integer、string、bool、null、object、array等，jq執(zhí)行過(guò)程大致如下：

jq從流中獲取一個(gè)json元素
jq執(zhí)行表達(dá)式，表達(dá)式生成新的json元素
jq將新的json元素打印輸出

可以看看這些示例，如下：

# 這里jq實(shí)際上將1 2 3 4當(dāng)作4個(gè)integer元素，每找到一個(gè)元素就執(zhí)行+1操作
# jq實(shí)際上是流式處理的，1 2 3 4可以看成流中的4個(gè)元素
$ echo '1 2 3 4'|jq '. + 1'
2
3
4
5

# 流中的元素不需要是同種類型，只要是完整的json元素即可
$ jq '"<" + tostring + ">"' <<eof
1
"zhangsan"
true
{"id":1}
[75, 80, 85]
eof

"<1>"
"<zhangsan>"
"<true>"
"<{"id":1}>"
"<[75,80,85]>"

# -R選項(xiàng)可用于將讀取到的json元素，都當(dāng)作字符串對(duì)待
$ seq 4|jq -R '.'
"1"
"2"
"3"
"4"

# -s選項(xiàng)將從流中讀取到的所有json元素，變成一個(gè)json數(shù)組元素  
# 這里理解為jq從流中只取到了1個(gè)json元素，這個(gè)json元素的類型是數(shù)組
$ seq 4|jq -s .
[
  1,
  2,
  3,
  4
]

基礎(chǔ)運(yùn)算

jq支持 + - * / % 運(yùn)算，對(duì)于+號(hào)，如果是字符串類型，則是做字符串拼接，如下：

# 做加減乘除運(yùn)算
$ echo 1|jq '.+1, .-1, .*2, ./2, .%2'
2
0
2
0.5
1

# 賦值運(yùn)算
$ echo -n '{"id":1,"name":"zhangsan","age":"17","score":"75"}'|jq '.id=2' -c
{"id":2,"name":"zhangsan","age":"17","score":"75"}

數(shù)據(jù)構(gòu)造

jq可以很方便的將其它數(shù)據(jù)，轉(zhuǎn)化為json對(duì)象或數(shù)組，如下：

# 使用[]構(gòu)造數(shù)組元素，-n告訴jq沒(méi)有輸入數(shù)據(jù)，直接執(zhí)行表達(dá)式并生成輸出數(shù)據(jù)
$ jq -n '[1,2,3,4]' -c
[1,2,3,4]

$ cat data.txt
id  name      age  score
1   zhangsan  17   75
2   lisi      16   80
3   wangwu    18   85
4   zhaoliu   18   90

# 每行分割成數(shù)組，[]構(gòu)造新的數(shù)組輸出
$ tail -n+2 data.txt|jq -R '[splits("\s+")]' -c
["1","zhangsan","17","75"]
["2","lisi","16","80"]
["3","wangwu","18","85"]
["4","zhaoliu","18","90"]

$ jq -n '{id:1, name:"zhangsan"}' -c
{"id":1,"name":"zhangsan"}

# 每行轉(zhuǎn)換為對(duì)象，{}構(gòu)造新的對(duì)象格式輸出
$ tail -n+2 data.txt|jq -R '[splits("\s+")] | {id:.[0]|tonumber, name:.[1], age:.[2], score:.[3]}' -c
{"id":1,"name":"zhangsan","age":"17","score":"75"}
{"id":2,"name":"lisi","age":"16","score":"80"}
{"id":3,"name":"wangwu","age":"18","score":"85"}
{"id":4,"name":"zhaoliu","age":"18","score":"90"}

# ()字符串占位變量替換
$ cat data.json
{"id":1,"name":"zhangsan","age":"17","score":"75"}
{"id":2,"name":"lisi","age":"16","score":"80"}
{"id":3,"name":"wangwu","age":"18","score":"85"}
{"id":4,"name":"zhaoliu","age":"18","score":"90"}

$ cat data.json |jq '"id:(.id),name:(.name),age:(.age),score:(.score)"' -r
id:1,name:zhangsan,age:17,score:75
id:2,name:lisi,age:16,score:80
id:3,name:wangwu,age:18,score:85
id:4,name:zhaoliu,age:18,score:90

基礎(chǔ)函數(shù)

# has函數(shù)，檢測(cè)對(duì)象是否包含key
$ echo -n '{"id":1,"name":"zhangsan","age":"17","score":"75"}'|jq 'has("id")'
true

# del函數(shù)，刪除某個(gè)屬性
$ echo -n '{"id":1,"name":"zhangsan","age":"17","score":"75"}'|jq 'del(.id)' -c
{"name":"zhangsan","age":"17","score":"75"}

# map函數(shù)，對(duì)數(shù)組中每個(gè)元素執(zhí)行表達(dá)式計(jì)算，計(jì)算結(jié)果組織成新數(shù)組
$ seq 4|jq -s 'map(. * 2)' -c
[2,4,6,8]

# 上面map函數(shù)寫法，其實(shí)等價(jià)于這個(gè)寫法
$ seq 4|jq -s '[.[]|.*2]' -c
[2,4,6,8]

# keys函數(shù)，列出對(duì)象屬性
$ echo -n '{"id":1,"name":"zhangsan","age":"17","score":"75"}'|jq 'keys' -c
["age","id","name","score"]

# to_entries函數(shù)，列出對(duì)象鍵值對(duì)
$ echo -n '{"id":1,"name":"zhangsan","age":"17","score":"75"}'|jq 'to_entries' -c
[{"key":"id","value":1},{"key":"name","value":"zhangsan"},{"key":"age","value":"17"},{"key":"score","value":"75"}]

# length函數(shù)，計(jì)算數(shù)組或字符串長(zhǎng)度
$ jq -n '[1,2,3,4]|length'
4

# add函數(shù)，計(jì)算數(shù)組中數(shù)值之和
$ seq 4|jq -s 'add'
10

# tostring與tonumber，類型轉(zhuǎn)換
$ seq 4|jq 'tostring|tonumber'
1
2
3
4

# type函數(shù)，獲取元素類型
$ jq 'type' <<eof
1
"zhangsan"
true
null
{"id":1}
[75, 80, 85]
eof

"number"
"string"
"boolean"
"null"
"object"
"array"

過(guò)濾、排序、分組函數(shù)

$ cat data.json
{"id":1,"name":"zhangsan","sex": 0, "age":"17","score":"75"}
{"id":2,"name":"lisi","sex": 1, "age":"16","score":"80"}
{"id":3,"name":"wangwu","sex": 0, "age":"18","score":"85"}
{"id":4,"name":"zhaoliu","sex": 0, "age":"18","score":"90"}

# select函數(shù)用于過(guò)濾，類似SQL中的where
$ cat data.json |jq 'select( (.id>1) and (.age|IN("16","17","18")) and (.name != "lisi") or (has("attr")|not) and (.score|tonumber >= 90) )' -c
{"id":3,"name":"wangwu","sex":0,"age":"18","score":"85"}
{"id":4,"name":"zhaoliu","sex":0,"age":"18","score":"90"}

# 有一些簡(jiǎn)化的過(guò)濾函數(shù)，如arrays, objects, iterables, booleans, numbers, normals, finites, strings, nulls, values, scalars
# 它們根據(jù)類型過(guò)濾，如objects過(guò)濾出對(duì)象，values過(guò)濾出非null值等
$ jq -c 'objects' <<eof
1
"zhangsan"
true
null
{"id":1}
[75, 80, 85]
eof

{"id":1}

$ jq -c 'values' <<eof
1
"zhangsan"
true
null
{"id":1}
[75, 80, 85]
eof

1
"zhangsan"
true
{"id":1}
[75,80,85]

# 選擇出id與name字段，類似SQL中的select id,name
$ cat data.json|jq -s 'map({id,name})[]' -c
{"id":1,"name":"zhangsan"}
{"id":2,"name":"lisi"}
{"id":3,"name":"wangwu"}
{"id":4,"name":"zhaoliu"}

# 提取前2行，類似SQL中的limit 2
$ cat data.json|jq -s 'limit(2; map({id,name})[])' -c
{"id":1,"name":"zhangsan"}
{"id":2,"name":"lisi"}

# 按照age、id排序，類似SQL中的order by age,id
$ cat data.json|jq -s 'sort_by((.age|tonumber), .id)[]' -c
{"id":2,"name":"lisi","sex":1,"age":"16","score":"80"}
{"id":1,"name":"zhangsan","sex":0,"age":"17","score":"75"}
{"id":3,"name":"wangwu","sex":0,"age":"18","score":"85"}
{"id":4,"name":"zhaoliu","sex":0,"age":"18","score":"90"}


# 根據(jù)sex與age分組，并每組聚合計(jì)算count(*)、avg(score)、max(id)
$ cat data.json |jq -s 'group_by(.sex, .age)[]' -c
[{"id":1,"name":"zhangsan","sex":0,"age":"17","score":"75"}]
[{"id":3,"name":"wangwu","sex":0,"age":"18","score":"85"},{"id":4,"name":"zhaoliu","sex":0,"age":"18","score":"90"}]
[{"id":2,"name":"lisi","sex":1,"age":"16","score":"80"}]

$ cat data.json |jq -s 'group_by(.sex, .age)[]|{sex:.[0].sex, age:.[0].age, count:length, avg_score:map(.score|tonumber)|(add/length), scores:map(.score)|join(","), max_id:map(.id)|max }' -c                 
{"sex":0,"age":"17","count":1,"avg_score":75,"scores":"75","max_id":1}
{"sex":0,"age":"18","count":2,"avg_score":87.5,"scores":"85,90","max_id":4}
{"sex":1,"age":"16","count":1,"avg_score":80,"scores":"80","max_id":2}

字符串操作函數(shù)

# contains函數(shù)，判斷是否包含，實(shí)際也可用于判斷數(shù)組是否包含某個(gè)元素
$ echo hello | jq -R 'contains("he")'
true

# 判斷是否以he開(kāi)頭
$ echo hello | jq -R 'startswith("he")'
true

# 判斷是否以llo結(jié)尾
$ echo hello | jq -R 'endswith("llo")'
true

# 去掉起始空格
$ echo ' hello '|jq -R 'ltrimstr(" ")|rtrimstr(" ")'
"hello"

# 大小寫轉(zhuǎn)換
$ echo hello|jq -R 'ascii_upcase'
"HELLO"

$ echo HELLO|jq -R 'ascii_downcase'
"hello"

# 字符串?dāng)?shù)組，通過(guò)逗號(hào)拼接成一個(gè)字符串
$ seq 4|jq -s 'map(tostring)|join(",")'
"1,2,3,4"

# json字符串轉(zhuǎn)換為json對(duì)象
$ echo -n '{"id":1,"name":"zhangsan","age":"17","attr":"{"weight":56,"height":178}"}'|jq '.attr = (.attr|fromjson)' -c
{"id":1,"name":"zhangsan","age":"17","attr":{"weight":56,"height":178}}

# json對(duì)象轉(zhuǎn)換為json字符串
$ echo -n '{"id":1,"name":"zhangsan","age":"17","attr":{"weight":56,"height":178}}'|jq '.attr = (.attr|tojson)'
{
  "id": 1,
  "name": "zhangsan",
  "age": "17",
  "attr": "{"weight":56,"height":178}"
}

$ cat data.txt
id:1,name:zhangsan,age:17,score:75
id:2,name:lisi,age:16,score:80
id:3,name:wangwu,age:18,score:85
id:4,name:zhaoliu,age:18,score:90

# 正則表達(dá)式過(guò)濾，jq使用的是PCRE
$ cat data.txt|jq -R 'select(test("id:\d+,name:\w+,age:\d+,score:8\d+"))' -r
id:2,name:lisi,age:16,score:80
id:3,name:wangwu,age:18,score:85

# 正則拆分字符串
$ cat data.txt|jq -R '[splits(",")]' -cr
["id:1","name:zhangsan","age:17","score:75"]
["id:2","name:lisi","age:16","score:80"]
["id:3","name:wangwu","age:18","score:85"]
["id:4","name:zhaoliu","age:18","score:90"]

# 正則替換字符串
$ cat data.txt |jq -R 'gsub("name"; "nick")' -r
id:1,nick:zhangsan,age:17,score:75
id:2,nick:lisi,age:16,score:80
id:3,nick:wangwu,age:18,score:85
id:4,nick:zhaoliu,age:18,score:90

# 正則表達(dá)式捕獲數(shù)據(jù)
$ cat data.txt|jq -R 'match("id:(?<id>\d+),name:(?<name>\w+),age:\d+,score:8\d+")' -cr
{"offset":0,"length":30,"string":"id:2,name:lisi,age:16,score:80","captures":[{"offset":3,"length":1,"string":"2","name":"id"},{"offset":10,"length":4,"string":"lisi","name":"name"}]}
{"offset":0,"length":32,"string":"id:3,name:wangwu,age:18,score:85","captures":[{"offset":3,"length":1,"string":"3","name":"id"},{"offset":10,"length":6,"string":"wangwu","name":"name"}]}

# capture命名捕獲，生成key是捕獲組名稱，value是捕獲值的對(duì)象
$ cat data.txt|jq -R 'capture("id:(?<id>\d+),name:(?<name>\w+),age:\d+,score:8\d+")' -rc
{"id":"2","name":"lisi"}
{"id":"3","name":"wangwu"}

# 正則掃描輸入字符串
$ cat data.txt|jq -R '[scan("\w+:\w+")]' -rc
["id:1","name:zhangsan","age:17","score:75"]
["id:2","name:lisi","age:16","score:80"]
["id:3","name:wangwu","age:18","score:85"]
["id:4","name:zhaoliu","age:18","score:90"]

日期函數(shù)

# 當(dāng)前時(shí)間綴
$ jq -n 'now'
1653820640.939947

# 將時(shí)間綴轉(zhuǎn)換為0時(shí)區(qū)的分解時(shí)間(broken down time)，形式為 年 月 日 時(shí) 分 秒 dayOfWeek dayOfYear
$ jq -n 'now|gmtime' -c
[2022,4,29,10,45,5.466768980026245,0,148]

# 將時(shí)間綴轉(zhuǎn)換為本地時(shí)區(qū)的分解時(shí)間(broken down time)
$ jq -n 'now|localtime' -c
[2022,4,29,18,46,5.386353015899658,0,148]

# 分解時(shí)間轉(zhuǎn)換為時(shí)間串
$ jq -n 'now|localtime|strftime("%Y-%m-%dT%H:%M:%S")' -c
"2022-05-29T18:50:33"

# 與上面等效
$ jq -n 'now|strflocaltime("%Y-%m-%dT%H:%M:%SZ")'
"2022-05-29T19:00:40Z"

# 時(shí)間串解析為分解時(shí)間
$ date +%FT%T|jq -R 'strptime("%Y-%m-%dT%H:%M:%S")' -c
[2022,4,29,18,51,27,0,148]

# 分解時(shí)間轉(zhuǎn)換為時(shí)間綴
$ date +%FT%T|jq -R 'strptime("%Y-%m-%dT%H:%M:%S")|mktime'
1653850310

高級(jí)用法

實(shí)際上jq是一門腳本語(yǔ)言，它也支持變量、分支結(jié)構(gòu)、循環(huán)結(jié)構(gòu)與自定義函數(shù)，如下：

$ cat data.json
{"id":1,"name":"zhangsan","sex": 0, "age":"17","score":"75"}
{"id":2,"name":"lisi","sex": 1, "age":"16","score":"80"}
{"id":3,"name":"wangwu","sex": 0, "age":"18","score":"85"}
{"id":4,"name":"zhaoliu","sex": 0, "age":"18","score":"90"}

# 單變量定義
$ cat data.json| jq '.id as $id|$id'
1
2
3
4

# 對(duì)象展開(kāi)式變量定義
$ cat data.json |jq '. as {id:$id,name:$name}|"id:($id),name:($name)"'
"id:1,name:zhangsan"
"id:2,name:lisi"
"id:3,name:wangwu"
"id:4,name:zhaoliu"

$ cat data.json
["1","zhangsan","17","75"]
["2","lisi","16","80"]
["3","wangwu","18","85"]
["4","zhaoliu","18","90"]

# 數(shù)組展開(kāi)式變量定義
$ cat data.json|jq '. as [$id,$name]|"id:($id),name:($name)"'
"id:1,name:zhangsan"
"id:2,name:lisi"
"id:3,name:wangwu"
"id:4,name:zhaoliu"

# 分支結(jié)構(gòu)
$ cat data.json|jq '. as [$id,$name]|if ($id>"1") then "id:($id),name:($name)" else empty end'
"id:2,name:lisi"
"id:3,name:wangwu"
"id:4,name:zhaoliu"

# 循環(huán)結(jié)構(gòu)，第一個(gè)表達(dá)式條件滿足時(shí)，執(zhí)行只每二個(gè)表達(dá)式
# 循環(huán)結(jié)構(gòu)除了while，還有until、recurse等
$ echo 1|jq 'while(.<100; .*2)'
1
2
4
8
16
32
64

# 自定義計(jì)算3次方的函數(shù)
$ echo 2|jq 'def cube: .*.*. ; cube'
8

由于這些高級(jí)特性并不常用，這里僅給出了一些簡(jiǎn)單示例，詳細(xì)使用可以man jq查看。

輔助shell編程

熟悉shell腳本編程的同學(xué)都知道，shell本身是沒(méi)有提供Map、List這種數(shù)據(jù)結(jié)構(gòu)的，這導(dǎo)致使用shell實(shí)現(xiàn)某些功能時(shí)，變得很棘手。

但jq本身是處理json的，而json中的對(duì)象就可等同于Map，json中的數(shù)組就可等同于List，如下：

list='[]';
#List添加元素
list=$(echo "$list"|jq '. + [ $val ]' --arg val java);
list=$(echo "$list"|jq '. + [ $val ]' --arg val shell);
#獲取List大小
echo "$list"|jq '.|length'
#獲取List第1個(gè)元素
echo "$list"|jq '.[0]' -r
# List是否包含java字符串
echo "$list"|jq 'any(.=="java")'
#刪除List第1個(gè)元素
list=$(echo "$list"|jq 'del(.[0])');
# List合并
list=$(echo "$list"|jq '. + $val' --argjson val '["shell","python"]');
# List截取
echo "$list"|jq '.[1:3]'
# List遍歷
for o in $(echo "$list" | jq -r '.[]');do 
    echo "$o"; 
done

map='{}';
#Map添加元素
map=$(echo "$map"|jq '.id=$val' --argjson val 1)
map=$(echo "$map"|jq '.courses=$val' --argjson val "$list")
#獲取Map大小
echo "$map"|jq '.|length'
#獲取Map指定key的值
echo "$map"|jq '.id' -r
#判斷Map指定key是否存在
echo "$map" | jq 'has("id")'
#刪除Map指定key
map=$(echo "$map"|jq 'del(.id)')
# Map合并
map=$(echo "$map"|jq '. + $val' --argjson val '{"code":"ID001","name":"hello"}')
# Map的KeySet遍歷
for key in $(echo "$map" | jq -r 'keys[]'); do 
    value=$(jq '.[$a]' --arg a "$key" -r <<<"$map"); 
    printf "%s:%s
" "$key" "$value"; 
done
# Map的entrySet遍歷
while read -r line; do 
    key=$(jq '.key' -r <<<"$line"); 
    value=$(jq '.value' -r <<<"$line"); 
    printf "%s:%s
" "$key" "$value"; 
done <<<$(echo "$map" | jq 'to_entries[]' -c)

總結(jié)

可以發(fā)現(xiàn)，jq已經(jīng)實(shí)現(xiàn)了json數(shù)據(jù)處理與分析的方方面面，我個(gè)人最近在工作中，也多次使用jq來(lái)分析調(diào)用日志等，用起來(lái)確實(shí)非常方便。

如果你現(xiàn)在還沒(méi)完全學(xué)會(huì)jq的用法，沒(méi)關(guān)系，建議先收藏起來(lái)，后面一定會(huì)用得到的！

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本文摘自：https://www.cnblogs.com/

jq命令用法總結(jié)2022-05-29 22:41:52