Strip Content From a Data Object in Vuejs - json

I have a JSON data and I would like to strip "description" into two different data objects.
JSON FILE:
{
"#attributes": {
"version": "2.0"
},
"channel": {
"title": "Rust News",
"description": "The latest news posts from Rust",
"lastBuildDate": "Thu, 07 Jul 2022 07:00:00 Z",
"item": [
{
"guid": "https:\/\/rust.facepunch.com\/news\/july-2022-update\/",
"link": "https:\/\/rust.facepunch.com\/news\/july-2022-update\/",
"title": "July Update",
"description": "<img src=\"https:\/\/files.facepunch.com\/paddy\/20220705\/july_2022_header.jpg\"><br\/>Combat balance, faster load times, chat filter and much more!\u00a0\u00a0",
"pubDate": "Thu, 07 Jul 2022 07:00:00 Z"
},
{
"guid": "https:\/\/rust.facepunch.com\/news\/community-update-243\/",
"link": "https:\/\/rust.facepunch.com\/news\/community-update-243\/",
"title": "Community Update 243",
"description": "<img src=\"https:\/\/files.facepunch.com\/errn\/1b1311b1\/FTTfqglWQAMxkzD.jpg\"><br\/>Custom desk mats, Mars monuments, thoughtful poetry, and more!",
"pubDate": "Wed, 15 Jun 2022 12:00:00 Z"
},
...
I would like to fetch two objects from the same "description" string:
First Object:
<img src="https://files.facepunch.com/paddy/20220705/july_2022_header.jpg">
Second Object:
Combat balance, faster load times, chat filter and much more!
Here is my Script file:
data() {
return {
items: []
}
},
mounted() {
this.axios.get("./api/json.php").then(response => {
this.items = response.data.channel.item;
});
}
how would I assign item.image and item.description string separately?
Or perhaps there is a way to do it from the server-side since the JSON is generated with a PHP from an XML file
Any help with this would be much appreciated!

Related

BotFramework Composer use FactSet to show multiple data

Try to use FactSet to show multiple data inside my AdaptiveCard
this is when i retrieve my data from Database and create my json object
and here is where i create my Adaptive Cards
{
"$schema": "http://adaptivecards.io/schemas/adaptive-card.json",
"version": "1.0",
"type": "AdaptiveCard",
"speak": "Your flight is confirmed for you and 3 other passengers from San Francisco to Amsterdam on Friday, October 10 8:30 AM",
"body": [
{
"type": "FactSet",
"facts": [
{
"$data": "${dialog.productFamily}",
"title": "${key}",
"value": "${value}"
}
]
}
]
}
And this is the error
getProduct.en-us.lg:Unexpected character at Path body[0].facts[0].$data, line 14, position 5 when parsing
Adaptive card templating is not implemented in the bot framework SDK yet.
https://github.com/microsoft/botframework-sdk/issues/6477

JMESPath how to write a query with multi-level filter?

I have been studying official documentation of JMESPath and a few other resources. However I was not successful with the following task:
my data structure is a json from vimeo api (video list):
data array contains lots of objects, each object is the uploaded file that has many attributes and various options.
"data": [
{
"uri": "/videos/00001",
"name": "Video will be added.mp4",
"description": null,
"type": "video",
"link": "https://vimeo.com/00001",
"duration": 9,
"files":[
{
"quality": "hd",
"type": "video/mp4",
"width": 1440,
"height": 1440,
"link": "https://player.vimeo.com/external/4443333.sd.mp4",
"created_time": "2020-09-01T19:10:01+00:00",
"fps": 30,
"size": 10807854,
"md5": "643d9f18e0a63e0630da4ad85eecc7cb",
"public_name": "UHD 1440p",
"size_short": "10.31MB"
},
{
"quality": "sd",
"type": "video/mp4",
"width": 540,
"height": 540,
"link": "https://player.vimeo.com/external/44444444.sd.mp4",
"created_time": "2020-09-01T19:10:01+00:00",
"fps": 30,
"size": 1345793,
"md5": "cb568939bb7b276eb468d9474c1f63f6",
"public_name": "SD 540p",
"size_short": "1.28MB"
},
... other data
]
},
... other uploaded files
]
Filter I need to apply is that duration needs to be less than 10 and width of file needs to be 540 and the result needs to contain a link (url) from files
I have managed to get only one of structure-levels working:
data[].files[?width == '540'].link
I need to extract this kind of list
[
{
"uri": "/videos/111111",
"link": "https://player.vimeo.com/external/4123112312.sd.mp4"
},
{
"uri": "/videos/22222",
"link": "https://player.vimeo.com/external/1231231231.sd.mp4"
},
...other data
]
Since the duration is in your data array, you will have to add this filter at that level.
You will also have to use what is described under the section filtering and selecting nested data because you only care of one specific type of file under the files array, so, you can use the same type of query structure | [0] in order to pull only the first element of the filtered files array.
So on your reduced exemple, the query:
data[?duration < `10`].{ uri: uri, link: files[?width == `540`].link | [0] }
Would yield the expected:
[
{
"uri": "/videos/00001",
"link": "https://player.vimeo.com/external/44444444.sd.mp4"
}
]

Parsing JSON data in flutter that has a null key

I have a json data that I used a website to parse(this is the site: https://javiercbk.github.io/json_to_dart/ ) but I got an error that the model was not correct and that is because my json data contains a list that has a list and in that list, another list that contains the keys and their values but there is a key which is null in that list..I put the json data below for better understanding..My question is, "is there any way that I can create a model and skip over the null key and work with the other available keys and values?"
{
"result": {
"newsfeed": [
[
null,
{
"author": "5f177c2139e3390017e71c70",
"userTag": "",
"text": "try this one",
"video": "",
"image": "",
"createdAt": "Wed Sep 16 2020 09:28:00 GMT+0000 (Coordinated Universal Time)",
"name": "",
"campus": ""
}
],
[
null,
{
"author": "5f177d2739e3390017e71c71",
"userTag": "bigjo",
"text": "yooooo",
"video": "",
"image": "",
"createdAt": "Wed Sep 16 2020 09:28:00 GMT+0000 (Coordinated Universal Time)",
"name": "",
"campus": "Bells University Of Technology"
}
]
]
}
}
Well you can assign some other value to it instead of null.
x['result']['newsfeed'].forEach((element){
element[0] = element[1]; //or any other object
}
This might not be the best way to do it though.
I also just had such issues. You can use QuickType to generate the mapping code for you based on the JSON input.
I am using factory for JSON decoding and for optional values the line would be something like
taskPic: parsedJson["taskPic"] == null ? null : parsedJson['taskPic'],

ReactJS material-UI tableData to parse nested JSON

My client is ReactJS and server is Java Jersey based.
Java Jersey produces the following nested JSON.
[
{
"projectname": "BMI",
"testRun": "5934391890034305",
"numberOfTestcases": "3",
"timeNowString": "Mon Sep 21 21:17:34 IST 2020",
"oidobjList": [
{
"oid": "5f68cb16f01c7607230d1fcd"
},
{
"oid": "5f68cb16f01c7607230d1fcf"
},
{
"oid": "5f68cb16f01c7607230d1fd1"
}
],
"fileNameObjList": [
{
"fileName": "Basispath_BMI_0_out.gif"
},
{
"fileName": "Basispath_BMI_1_out.gif"
},
{
"fileName": "Basispath_BMI_2_out.gif"
}
]
},
{
"projectname": "BMI",
"testRun": "3320691551029718",
"numberOfTestcases": "3",
"timeNowString": "Mon Sep 21 18:37:54 IST 2020",
"oidobjList": [
{
"oid": "5f68a5aaf01ca8f40b42a4e7"
},
{
"oid": "5f68a5aaf01ca8f40b42a4e9"
},
{
"oid": "5f68a5aaf01ca8f40b42a4eb"
}
],
"fileNameObjList": [
{
"fileName": "Basispath_BMI_0_out.gif"
},
{
"fileName": "Basispath_BMI_1_out.gif"
},
{
"fileName": "Basispath_BMI_2_out.gif"
}
]
}
]
My ReactJS code is as follows:
{this.props.articles.map((el, index) => (
<Table
tableHeaderColor="primary"
tableHead={["Parameter", "Value"]}
tableData={[
["Project Name: ", el.projectname],
["Test Run: ", el.testRun],
["No Of TestCases: ", el.numberOfTestcases],
// ["File Name: ", el.fileNameObjList],
["Time Stamp: ", el.timeNowString],
]}
/>
))}
The response received in client side is attached in the image
Questions:
How to render nested JSON elements in ReactJS material-ui based tableData?
How to get filenames using map and index?
Please provide solution to this issue.
1 - First you need to decide how you will render your table. If you just want to render a single table for all your nested arrays, you can generate a single array of it and render normally. You can also render multipla tables, one for each nested array, it's your choice as a programmer.
2 - You can get filenames field by doing an simple map in fileNameObjList. But if you want a single array of filenames, you can either use Array.reduce or combine the mapped arrays with Array.concat or by pushing every item with an for loop
and also, I'm not sure but i don't think Material UI table is used that way. You may be using another data-table component that uses MUI

Dealing with newlines embedded within strings

I'm working with twitter data which fetched in jsonl form. I've converted it to json and am trying to convert it to a csv (to import into a program which accepts either csv or MySQL). However, some people put forced new lines into their tweets or bios. This is causing the csv file to have multiple lines for entries, often breaking up in the middle of a tweet. I've tried a few of the python json to csv codes floating on github.
The latest attempt I tried:
jq -s "." tiny00subset.jsonl > tiny00subset.json
json2csv -i tiny00subset.json -o tiny00subset.csv
Partial example tweet (json format):
{
"created_at": "Mon Aug 13 10:40:34 +0000 2018",
"id": 1028954459110555600,
"id_str": "1028954459110555649",
"full_text": "Oh well, they deal with it quite well. Like they add numbers and facts and such crazy stuff.\nhttps://REPLACED/DuBGmHCnG8\n#climatechange https://REPLACED/d5IBchM3Uk",
"truncated": false,
"display_text_range": [
0,
131
],
"entities": {
"hashtags": [
{
"text": "climatechange",
"indices": [
117,
131
]
}
],
"symbols": [],
"user_mentions": [],
"urls": [
{
"url": "https://REPLACED/DuBGmHCnG8",
"expanded_url": "https://tamino.wordpress.com/2018/08/08/usa-temperature-can-i-sucker-you/",
"display_url": "tamino.wordpress.com/2018/08/08/usa…",
"indices": [
93,
116
]
},
{
"url": "https://REPLACED/d5IBchM3Uk",
"expanded_url": "https://twitter.com/Tony__Heller/status/1028672939753758720",
"display_url": "twitter.com/Tony__Heller/s…",
"indices": [
132,
155
]
}
]
},
}
CSV Output:
"Mon Aug 13 10:40:34 +0000 2018",1028954459110555600,"1028954459110555649","Oh well, they deal with it quite well. Like they add numbers and facts and such crazy stuff.
https://REPLACED/DuBGmHCnG8
#climatechange https://REPLACED/d5IBchM3Uk",false,"[0,131]","{""hashtags"":[{""text"":""climatechange"",""indices"":[117,131]}],""symbols"":[],""user_mentions"":[],""urls"":[{""url"":""https://REPLACED/DuBGmHCnG8"",""expanded_url"":""https://tamino.wordpress.com/2018/08/08/usa-temperature-can-i-sucker-you/"",""display_url"":""tamino.wordpress.com/2018/08/08/usa…"",""indices"":[93,116]},{""url"":""https://REPLACED/d5IBchM3Uk"",""expanded_url"":""https://twitter.com/Tony__Heller/status/1028672939753758720"",""display_url"":""twitter.com/Tony__Heller/s…"",""indices"":[132,155]}]}","TweetDeck",,,,,,"{""id"":59806323,""id_str"":""59806323"",""name"":""Daniel"",""screen_name"":""sleeksorrow"",""location"":""Karlsruhe, Germany"",""description"":""Politik, IT, Blödsinn und deren Schnittmenge. Ebenfalls: Hochmittelalter Darstellung, Falknerei, Greifvogelschutz - profile picture by #herrkausk"",""url"":""https://REPLACED/E8aNHIhCtg"",""entities"":{""url"":{""urls"":[{""url"":""https://REPLACED/E8aNHIhCtg"",""expanded_url"":""http://sleeksorrow.blogspot.com/"",""display_url"":""sleeksorrow.blogspot.com"",""indices"":[0,23]}]},""description"":{""urls"":[]}},""protected"":false,""followers_count"":572,""friends_count"":392,""listed_count"":47,""created_at"":""Fri Jul 24 15:15:25 +0000 2009"",""favourites_count"":13259,""utc_offset"":null,""time_zone"":null,""geo_enabled"":false,""verified"":false,""statuses_count"":48861,""lang"":null,""contributors_enabled"":false,""is_translator"":false,""is_translation_enabled"":false,""profile_background_color"":""1A1B1F"",""profile_background_image_url"":""http://abs.twimg.com/images/themes/theme9/bg.gif"",""profile_background_image_url_https"":""https://abs.twimg.com/images/themes/theme9/bg.gif"",""profile_background_tile"":false,""profile_image_url"":""http://pbs.twimg.com/profile_images/877219681513480192/1rj4xqpK_normal.jpg"",""profile_image_url_https"":""https://pbs.twimg.com/profile_images/877219681513480192/1rj4xqpK_normal.jpg"",""profile_banner_url"":""https://pbs.twimg.com/profile_banners/59806323/1397029131"",""profile_image_extensions_alt_text"":null,""profile_banner_extensions_alt_text"":null,""profile_link_color"":""2FC2EF"",""profile_sidebar_border_color"":""181A1E"",""profile_sidebar_fill_color"":""252429"",""profile_text_color"":""666666"",""profile_use_background_image"":true,""has_extended_profile"":false,""default_profile"":false,""default_profile_image"":false,""can_media_tag"":true,""followed_by"":false,""following"":false,""follow_request_sent"":false,""notifications"":false,""translator_type"":""none""}",,,,,true,1028672939753758700,"1028672939753758720","{""url"":""https://REPLACED/d5IBchM3Uk"",""expanded"":""https://twitter.com/Tony__Heller/status/1028672939753758720"",""display"":""twitter.com/Tony__Heller/s…""}","{""created_at"":""Sun Aug 12 16:01:55 +0000 2018"",""id"":1028672939753758700,""id_str"":""1028672939753758720"",""full_text"":""#DeanFieldingF1 It is very difficult or impossible for climate alarmists to deal with reality. https://REPLACED/wOJTptxIqH"",""truncated"":false,""display_text_range"":[16,94],""entities"":{""hashtags"":[],""symbols"":[],""user_mentions"":[{""screen_name"":""DeanFieldingF1"",""name"":""Dean Fielding"",""id"":797295219825897500,""id_str"":""797295219825897472"",""indices"":[0,15]}],""urls"":[],""media"":[{""id"":1028672868849090600,""id_str"":""1028672868849090560"",""indices"":[95,118],""media_url"":""http://pbs.twimg.com/media/DkaUhinVAAARrIY.jpg"",""media_url_https"":""https://pbs.twimg.com/media/DkaUhinVAAARrIY.jpg"",""url"":""https://REPLACED/wOJTptxIqH"",""display_url"":""pic.twitter.com/wOJTptxIqH"",""expanded_url"":""https://twitter.com/SteveSGoddard/status/1028672939753758720/photo/1"",""type"":""photo"",""sizes"":{""thumb"":{""w"":150,""h"":150,""resize"":""crop""},""medium"":{""w"":1070,""h"":983,""resize"":""fit""},""large"":{""w"":1070,""h"":983,""resize"":""fit""},""small"":{""w"":680,""h"":625,""resize"":""fit""}},""features"":{""orig"":{""faces"":[]},""medium"":{""faces"":[]},""large"":{""faces"":[]},""small"":{""faces"":[]}}}]},""extended_entities"":{""media"":[{""id"":1028672868849090600,""id_str"":""1028672868849090560"",""indices"":[95,118],""media_url"":""http://pbs.twimg.com/media/DkaUhinVAAARrIY.jpg"",""media_url_https"":""https://pbs.twimg.com/media/DkaUhinVAAARrIY.jpg"",""url"":""https://REPLACED/wOJTptxIqH"",""display_url"":""pic.twitter.com/wOJTptxIqH"",""expanded_url"":""https://twitter.com/SteveSGoddard/status/1028672939753758720/photo/1"",""type"":""photo"",""sizes"":{""thumb"":{""w"":150,""h"":150,""resize"":""crop""},""medium"":{""w"":1070,""h"":983,""resize"":""fit""},""large"":{""w"":1070,""h"":983,""resize"":""fit""},""small"":{""w"":680,""h"":625,""resize"":""fit""}},""features"":{""orig"":{""faces"":[]},""medium"":{""faces"":[]},""large"":{""faces"":[]},""small"":{""faces"":[]}},""ext_alt_text"":null},{""id"":1028672883986333700,""id_str"":""1028672883986333697"",""indices"":[95,118],""media_url"":""http://pbs.twimg.com/media/DkaUibAVAAEaQt0.jpg"",""media_url_https"":""https://pbs.twimg.com/media/DkaUibAVAAEaQt0.jpg"",""url"":""https://REPLACED/wOJTptxIqH"",""display_url"":""pic.twitter.com/wOJTptxIqH"",""expanded_url"":""https://twitter.com/SteveSGoddard/status/1028672939753758720/photo/1"",""type"":""photo"",""sizes"":{""thumb"":{""w"":150,""h"":150,""resize"":""crop""},""medium"":{""w"":1070,""h"":983,""resize"":""fit""},""large"":{""w"":1070,""h"":983,""resize"":""fit""},""small"":{""w"":680,""h"":625,""resize"":""fit""}},""features"":{""orig"":{""faces"":[]},""medium"":{""faces"":[]},""large"":{""faces"":[]},""small"":{""faces"":[]}},""ext_alt_text"":null}]},""source"":""Twitter Web Client"",""in_reply_to_status_id"":1028671170802081800,""in_reply_to_status_id_str"":""1028671170802081793"",""in_reply_to_user_id"":797295219825897500,""in_reply_to_user_id_str"":""797295219825897472"",""in_reply_to_screen_name"":""DeanFieldingF1"",""user"":{""id"":435704007,""id_str"":""435704007"",""name"":""Tony Heller"",""screen_name"":""Tony__Heller"",""location"":""Colorado"",""description"":""https://REPLACED/j5CaDNyIqE"",""url"":""https://REPLACED/Pyn117xXna"",""entities"":{""url"":{""urls"":[{""url"":""https://REPLACED/Pyn117xXna"",""expanded_url"":""http://realclimatescience.com"",""display_url"":""realclimatescience.com"",""indices"":[0,23]}]},""description"":{""urls"":[{""url"":""https://REPLACED/j5CaDNyIqE"",""expanded_url"":""https://realclimatescience.com/who-is-tony-heller/"",""display_url"":""realclimatescience.com/who-is-tony-he…"",""indices"":[0,23]}]}},""protected"":false,""followers_count"":44955,""friends_count"":374,""listed_count"":886,""created_at"":""Tue Dec 13 10:44:34 +0000 2011"",""favourites_count"":3740,""utc_offset"":null,""time_zone"":null,""geo_enabled"":true,""verified"":false,""statuses_count"":165165,""lang"":null,""contributors_enabled"":false,""is_translator"":false,""is_translation_enabled"":false,""profile_background_color"":""185370"",""profile_background_image_url"":""http://abs.twimg.com/images/themes/theme1/bg.png"",""profile_background_image_url_https"":""https://abs.twimg.com/images/themes/theme1/bg.png"",""profile_background_tile"":false,""profile_image_url"":""http://pbs.twimg.com/profile_images/1175541923508916225/0qEi4yIj_normal.jpg"",""profile_image_url_https"":""https://pbs.twimg.com/profile_images/1175541923508916225/0qEi4yIj_normal.jpg"",""profile_banner_url"":""https://pbs.twimg.com/profile_banners/435704007/1469798959"",""profile_image_extensions_alt_text"":null,""profile_banner_extensions_alt_text"":null,""profile_link_color"":""0084B4"",""profile_sidebar_border_color"":""FFFFFF"",""profile_sidebar_fill_color"":""DDEEF6"",""profile_text_color"":""333333"",""profile_use_background_image"":true,""has_extended_profile"":false,""default_profile"":false,""default_profile_image"":false,""can_media_tag"":false,""followed_by"":false,""following"":false,""follow_request_sent"":false,""notifications"":false,""translator_type"":""none""},""geo"":null,""coordinates"":null,""place"":null,""contributors"":null,""is_quote_status"":false,""retweet_count"":16,""favorite_count"":27,""favorited"":false,""retweeted"":false,""possibly_sensitive"":false,""lang"":""en""}",0,0,false,false,false,"en"
starting from
{
"created_at": "Mon Aug 13 10:40:34 +0000 2018",
"id": 1028954459110555600,
"id_str": "1028954459110555649",
"full_text": "Oh well, they deal with it quite well. Like they add numbers and facts and such crazy stuff.\nhttps://REPLACED/DuBGmHCnG8\n#climatechange https://REPLACED/d5IBchM3Uk",
"truncated": false,
"display_text_range": [
0,
131
],
"entities": {
"hashtags": [
{
"text": "climatechange",
"indices": [
117,
131
]
}
],
"symbols": [],
"user_mentions": [],
"urls": [
{
"url": "https://REPLACED/DuBGmHCnG8",
"expanded_url": "https://tamino.wordpress.com/2018/08/08/usa-temperature-can-i-sucker-you/",
"display_url": "tamino.wordpress.com/2018/08/08/usa…",
"indices": [
93,
116
]
},
{
"url": "https://REPLACED/d5IBchM3Uk",
"expanded_url": "https://twitter.com/Tony__Heller/status/1028672939753758720",
"display_url": "twitter.com/Tony__Heller/s…",
"indices": [
132,
155
]
}
]
}
}
and running (it's https://github.com/johnkerl/miller)
mlr --j2c unsparsify input.json >input.csv
you have this kind of output https://gist.github.com/aborruso/6e0361923a3c45b9fe55ebf7590953de#file-output-csv
If you open it as raw you have the carriage return. And a spreasheet read it properly.
Then, using properly the import process you need to use, the \n is not a problem.