I am using Beautiful Soup to parse an HTML document. I have extracted the following tag.
<p>{
"url": "/name/abcdef”,
"name": “Max Mustermann”,
"jobTitle":"Director”,
"description": “Lorem Ipsum.”,
"birthDate": “2000-01-01”
}</p>
I wish to extract the birthdate, and nothing else. Is there any way to do this?
Related
I'm trying to access metafields containing an array that I want to loop over.
I've tried solutions online to no avail. Do you have any suggestions?
This is the JSON.
[
{
"id": 1,
"title": "Why do pets love CBD so much?",
"pub": "ScienceDirect",
"url": "https://www.efsa.europa.eu/en/news/cannabidiol-novel-food-evaluations-hold-pending-new-data"
},
{
"id": 2,
"title": "When will CBD take over the world",
"pub": "Anna Research Institute",
"url": "https://www.efsa.europa.eu/en/news/cannabidiol-novel-food-evaluations-hold-pending-new-data"
}
]
The metafield is article.metafields.custom.source_snippet
In my article template I'm trying to access it via {% assign sources = article.metafields.custom.source_snippet %}
This usually worked with the old "Metafields Guru".
Thanks.
In shopify there are actually two types of JSON metafields: json and json_string.
json_string is the old and deprecated type and json is the new version.
If your metafield was a json_string your code would have worked, but with json to access the actual value you need to add .value so your code should look like this
{% assign sources = article.metafields.custom.source_snippet.value %}
I don't have any experience with Javascript so I'm reaching out for the community to accomplish the below.
I have a few API calls configured on Zabbix which are working just fine. The thing is, not all of the results within an item is importante for me so I need to grab just what I want out of the array.
I'm using the pre-processing option on Zabbix to grab what I'm after but I can't get the code correct.
For instance, the below is one of the results Zabbix is getting.
[
{
"batteryLife": "15 minutes",
"communityString": "public",
"instanceId": "260596.1",
"instanceName": "UPS-01",
"ipAddress": "10.1.100.44",
"modelNumber": "GXT4-10000RT230",
"name": "UPS-01",
"objectType": "ScUps",
"scName": "pth-pf-04",
"scSerialNumber": 260596,
"serialNumber": "unknown",
"status": "Up",
"statusDescription": "Online",
"type": "Liebert"
}
]
How Can I Use the pre-processing to grab just the "ipAddress" value for instance?
Thanks for the help.
PeteF
You can avoid JavaScript preprocessing where you can use JSONPath preprocessing, see https://www.zabbix.com/documentation/current/manual/config/items/preprocessing/jsonpath_functionality
In your case:
$[0].ipAddress
A useful tool for JSONPath is http://jsonpath.com/
In case someone have the same doubt as I was having here is how I got it working to return the "ipAdress" value
var json = JSON.parse(value);
return json.ipAddress;
In case there are more than one dictionary inside of an array.
var json = JSON.parse(value);
return json[0].ipAddress;
I want to match multiple response of an API. Please find below Scenario Outline.
Background:
* def kittens = read('../sample.json')
Scenario Outline: Create Test1
Given url url
And request <Users>
When method POST
Then status 200
And match response.success.name == <expectedName>
And match response.success.contact.mobile == <expectedMobile>
Examples:
|Users|expectedName|expectedMobile|
|kittens.User1|'Micheal'|'123456'|
|kittens.User2|'Steve'|'998877'|
In the above case, I am able to match for 2 fields but I want to validate for more fields, but it is increasing pile of code that I do not want.
Multiple response of an API:
"success": {
"name": "Micheal",
"addr": "Tesla road",
"contact": {
"mobile": 123456,
"phone": 4422356
}
}
"success": {
"name": "Steve",
"addr": "Karen Road",
"contact": {
"mobile": 998877,
"phone": 244344
}
}
I am looking for minimizing the lines of code.
Can you please tell me another way where I can load entire response into expected and then I will traverse in the example section?
Please help me. Thank you !!
I strongly recommend you don't do this, and the reasons are explained in detail here: https://stackoverflow.com/a/54126724/143475
Also note instead of going field-by-field, you can use the whole JSON in the Examples column, or even pull from a file, see examples.feature.
You will actually end up with a much more "increasing pile of code" if you go down this path in my sincere opinion.
I am having a problem with image when creating a product using shopify API
Here is the JSON I try to send using POST
{
"product": {
"title": "Balance 100% Whey Protein 2.8kg w/ FREE Magnesium complete powder",
"body_html": "<p><span><strong>Balance 100% Whey Protein <strong>–</strong> WPC/WPI</strong> is your complete protein source providing you with a technically advanced combination of Whey Protein Concentrate, easily-digested Whey Protein Concentrate and Whey Protein Isolate in a 2:1 ratio.</span></p>",
"vendor": "Balance",
"product_type": "Physical",
"images": [
{
"attachment": "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",
"filename": "sample_image0001.jpg"
}
],
"tags": [
"Specials",
"Whey Protein Blend (WPI/WPC)",
"Protein Powders",
"Stacks and Packs"
]
}
}
The product is successfully created but the picture wasn't uploaded
The file extension of filename parameter must match the filetype of the attached file. Inspecting the attachment, this seems to be a PNG file, while your filename specifies a JPG. Change this to match the filetype and it should work.
I have this REST API that returns tabular data in the following way:
{"data": [{"el1": 8, "el2": 9}, {"el1": 3, "el2": 4}]}
I would like to use el1 and el2 in a Vega-lite chart. How should I refer to the elements in the array?
From the documentation here:
(JSON only) The JSON property containing the desired data. This parameter can be used when the loaded JSON file may have surrounding structure or meta-data. For example
"property": "values.features"
is equivalent to retrieving json.values.features from the loaded JSON object.
It seems that you can try to specify the "property" property (punny, eh) on the format. Something like this:
"data": {
"url": <your url here>,
"format": {
"type": "json",
"property": "data"
},
}
Disclaimer: I haven't actually tested this but it looks to be supported (: