$categoryData = $this->compCatObj->find()->select(['CompanyCategory.id', 'CompanyCategory.name','CompanyCategory.restricted'])->contain(['CompanyItems'=>['fields'=>['CompanyItems.id','CompanyItems.company_category_id','CompanyItems.name']]])->toArray();
Response
{
"status": "success",
"message": "List of company categories",
"data": [
{
"id": 1,
"name": "Breakfast gdfgedfgdf",
"restricted": "no",
"company_items": []
},
{
"id": 2,
"name": "Breakfast",
"restricted": "yes",
"company_items": []
}
]
}
i need category_id instead of id. Is there any way to do this without using forloop.
yes you can do this by a small change in your code,
$categoryData = $this->compCatObj->find()->select(['category_id' => 'CompanyCategory.id', 'CompanyCategory.name','CompanyCategory.restricted'])->contain(['CompanyItems'=>['fields'=>['CompanyItems.id','CompanyItems.company_category_id','CompanyItems.name']]])->toArray();
Response
{
"status": "success",
"message": "List of company categories",
"data": [
{
"category_id": 1,
"name": "Breakfast gdfgedfgdf",
"restricted": "no",
"company_items": []
},
{
"category_id": 2,
"name": "Breakfast",
"restricted": "yes",
"company_items": []
}
]
}
Related
I need help with jq syntax on how to return the Gitlab job ID if it contains an artifact. The JSON output looks like this (removed a lot of unrelated info from it and added [...]):
[{
"id": 3219589880,
"status": "success",
"stage": "test",
"name": "job_with_no_artifact",
"ref": "main",
"tag": false,
"coverage": null,
"allow_failure": false,
"created_at": "2022-10-24T18:21:25.119Z",
"started_at": "2022-10-24T18:21:25.986Z",
"finished_at": "2022-10-24T18:21:38.464Z",
"duration": 12.478682,
"queued_duration": 0.499786,
"user": {
"id": 123456789,
[...]
},
"commit": {
"id": "5e0e1f287d20daf2036a3ca71c656dce55999265",
[...]
"pipeline": {
"id": 123456789,
[...]
"project": {
"ci_job_token_scope_enabled": false
},
"artifacts": [],
"runner": {
"id": 12270859,
[...]
},
"artifacts_expire_at": null,
"tag_list": []
}, {
"id": 3219589878,
"status": "success",
"stage": "test",
"name": "create_artifact_job_2",
"ref": "main",
"tag": false,
"coverage": null,
"allow_failure": false,
"created_at": "2022-10-24T18:21:25.111Z",
"started_at": "2022-10-24T18:21:25.922Z",
"finished_at": "2022-10-24T18:21:39.090Z",
"duration": 13.168405,
"queued_duration": 0.464364,
"user": {
"id": 123456789,
[...]
},
"commit": {
"id": "5e0e1f287d20daf2036a3ca71c656dce55999265",
[...]
},
"pipeline": {
"id": 675641982,
[...],
"project": {
"ci_job_token_scope_enabled": false
},
"artifacts_file": {
"filename": "artifacts.zip",
"size": 223
},
"artifacts": [{
"file_type": "archive",
"size": 223,
"filename": "artifacts.zip",
"file_format": "zip"
}, {
"file_type": "metadata",
"size": 153,
"filename": "metadata.gz",
"file_format": "gzip"
}],
"runner": {
"id": 12270845,
[...]
},
"artifacts_expire_at": "2022-10-25T18:21:35.859Z",
"tag_list": []
}, {
"id": 3219589876,
"status": "success",
"stage": "test",
"name": "create_artifact_job_1",
"ref": "main",
"tag": false,
"coverage": null,
"allow_failure": false,
"created_at": "2022-10-24T18:21:25.103Z",
"started_at": "2022-10-24T18:21:25.503Z",
"finished_at": "2022-10-24T18:21:41.407Z",
"duration": 15.904028,
"queued_duration": 0.098837,
"user": {
"id": 123456789,
[...]
},
"commit": {
"id": "5e0e1f287d20daf2036a3ca71c656dce55999265",
[...]
},
"pipeline": {
"id": 123456789,
[...]
},
"web_url": "WEB_URL",
"project": {
"ci_job_token_scope_enabled": false
},
"artifacts_file": {
"filename": "artifacts.zip",
"size": 217
},
"artifacts": [{
"file_type": "archive",
"size": 217,
"filename": "artifacts.zip",
"file_format": "zip"
}, {
"file_type": "metadata",
"size": 152,
"filename": "metadata.gz",
"file_format": "gzip"
}],
"runner": {
"id": 12270857,
},
"artifacts_expire_at": "2022-10-25T18:21:37.808Z",
"tag_list": []
}]
I've been trying to do either of the following using jQ:
Either:
Check if artifacts_file key exists in each iteration and if it does return the (job) id (so .[].id)
Check if artifacts array is empty in each iteration and if it is empty return the (job) id.
In both cases I'm able to do the first part but I am not sure how to return the .id key.
Related stackoverflow questions that I've been trying to utilize and adapt to my case:
jq - return array value if its length is not null
How to check for presence of 'key' in jq before iterating over the values
What I have so far: jq '[.[].artifacts[]|select(length > 0)] | .[]' which returns all the artifacts found (but it doesn't contain the .id of the job).
Checking the existence of a field using has:
.[] | select(has("artifacts_file")).id
3219589878
3219589876
Demo
Checking if a field is an empty array by comparing it to []:
.[] | select(.artifacts == []).id
3219589880
Demo
I have the following data frame, df1:
A B C
123 B1 C1
456 B2 C2
And data frame df2:
A
[
{
"id": "123",
"details": {
"id": "123",
"color": null,
"param_1": {
"name": "mike"
},
"location": "US",
"items": [
{
"item_1": "#227858",
"offer_id": null,
"item_details": {
"detials_1": [{ "notes": "other:", "quantity": 1 }]
}
}
],
"version": 1,
}
}
]
[
{
"id": "456",
"details": {
"id": "456",
"color": null,
"param_1": {
"name": "james"
},
"location": "KR",
"items": [
{
"item_1": "#2221",
"offer_id": null,
"item_details": {
"detials_1": [{ "notes": "other", "quantity": 1 }]
}
}
],
"version": 2,
}
}
]
I want to find all values in df1[A] inside the JSON found inside df2[A] under the first instance of the id parameter. Once found, I want to replace the NULL values inside the color parameter with the df1[B] and offer_id with df1[C].
The output should create a new column with the appended values:
df2[B]:
[
{
"id": "123",
"details": {
"id": "123",
"color": B1,
"param_1": {
"name": "mike"
},
"location": "US",
"items": [
{
"item_1": "#227858",
"offer_id": C1,
"item_details": {
"detials_1": [{ "notes": "other:", "quantity": 1 }]
}
}
],
"version": 1,
}
}
]
[
{
"id": "456",
"details": {
"id": "456",
"color": B2,
"param_1": {
"name": "james"
},
"location": "KR",
"items": [
{
"item_1": "#2221",
"offer_id": C2,
"item_details": {
"detials_1": [{ "notes": "other", "quantity": 1 }]
}
}
],
"version": 2,
}
}
]
I just started researching how to approach this, but I need guidance on the most efficient way. Any insight would be greatly appreciated.
I have the below response in my postman Body .
{
"count": 3,
"next": null,
"previous": null,
"results": [
{
"id": "c2004ef952894279920417ba8283d26a",
"name": "attrib_inv_bu",
"modified_date": "2020-07-06T02:15:06.839577",
"display_group": {
"id": "attr_dis_267a405426184764816e504b4f0a565b",
"name": "Custom"
},
"api_url": "https://abc.xyz.com/api/v1/attributes/attr_c2004ef952894279920417ba8283d26a/",
"url": "https://abc.xyz.com/manage/matter_attributes/2707/"
},
{
"id": "c2004ef95289422324232a8283d26a",
"name": "attrib_idsdw_sfs",
"modified_date": "2020-07-06T02:11:06.839577",
"display_group": {
"id": "attr_dis_267a4054261dfsf64816e504b4f0a565b",
"name": "Custom"
},
"api_url": "https://abc.xyz.com/api/v1/attributes/attr_c2004ef952894279920417ba8ssd3d26a/",
"url": "https://abc.xyz.com/manage/matter_attributes/2709/"
},
{
"id": "c2004ef9we22e2e8283d26a",
"name": "attrib_iasa_ac",
"modified_date": "2020-07-06T02:17:06.839577",
"display_group": {
"id": "attr_dis_267a405426184764816e5dsds4f0a565b",
"name": "Custom"
},
"api_url": "https://abc.xyz.com/api/v1/attributes/attr_c2004ef952894279920417ba8283sds26a/",
"url": "https://abc.xyz.com/manage/matter_attributes/2708/"
}
]
}
I want to assert whether I have 3 different ids match with the count 3 that is displayed in the body.
res = pm.response.json()
res.count === res.results.length
you can use in expect as :
pm.expect(res.count).to.be.equal(res.results.length)
If you want to verify they are indeed unique:
let resultidlits = []
result.forEach((a) => {
resultidlits.includes(a.id)? null : resultidlits.push(a.id)
})
pm.expect(res.count).to.be.equal(resultidlits.length)
I am trying to convert a nested json file into csv. It's data from a darts API and the structure is always the same. Nevertheless I got some problems flattening and storing the values in a csv because of the nested structure.
json:
{
"summaries": [{
"sport_event": {
"id": "sr:sport_event:12967512",
"start_time": "2017-11-11T13:15:00+00:00",
"start_time_confirmed": true,
"sport_event_context": {
"sport": {
"id": "sr:sport:22",
"name": "Darts"
},
"category": {
"id": "sr:category:104",
"name": "International"
},
"competition": {
"id": "sr:competition:597",
"name": "Grand Slam of Darts"
},
"season": {
"id": "sr:season:47332",
"name": "Grand Slam of Darts 2017",
"start_date": "2017-11-11",
"end_date": "2017-11-20",
"year": "2017",
"competition_id": "sr:competition:597"
},
"stage": {
"order": 1,
"type": "league",
"phase": "stage_1",
"start_date": "2017-11-11",
"end_date": "2017-11-15",
"year": "2017"
},
"round": {
"number": 1
},
"groups": [{
"id": "sr:league:29766",
"name": "Grand Slam of Darts 2017, Group G",
"group_name": "G"
}]
},
"coverage": {
"live": true
},
"competitors": [{
"id": "sr:competitor:35936",
"name": "Smith, Michael",
"abbreviation": "SMI",
"qualifier": "home"
}, {
"id": "sr:competitor:83895",
"name": "Wilson, James",
"abbreviation": "WIL",
"qualifier": "away"
}]
},
"sport_event_status": {
"status": "closed",
"match_status": "ended",
"home_score": 5,
"away_score": 3,
"winner_id": "sr:competitor:35936"
}
}, {
"sport_event": {
"id": "sr:sport_event:12967508",
"start_time": "2017-11-11T13:40:00+00:00",
"start_time_confirmed": true,
"sport_event_context": {
"sport": {
"id": "sr:sport:22",
"name": "Darts"
},
"category": {
"id": "sr:category:104",
"name": "International"
},
"competition": {
"id": "sr:competition:597",
"name": "Grand Slam of Darts"
},
"season": {
"id": "sr:season:47332",
"name": "Grand Slam of Darts 2017",
"start_date": "2017-11-11",
"end_date": "2017-11-20",
"year": "2017",
"competition_id": "sr:competition:597"
},
"stage": {
"order": 1,
"type": "league",
"phase": "stage_1",
"start_date": "2017-11-11",
"end_date": "2017-11-15",
"year": "2017"
},
"round": {
"number": 1
},
"groups": [{
"id": "sr:league:29764",
"name": "Grand Slam of Darts 2017, Group F",
"group_name": "F"
}]
},
"coverage": {
"live": true
},
"competitors": [{
"id": "sr:competitor:70916",
"name": "Bunting, Stephen",
"abbreviation": "BUN",
"qualifier": "home"
}, {
"id": "sr:competitor:191262",
"name": "de Zwaan, Jeffrey",
"abbreviation": "DEZ",
"qualifier": "away"
}]
},
"sport_event_status": {
"status": "closed",
"match_status": "ended",
"home_score": 5,
"away_score": 4,
"winner_id": "sr:competitor:70916"
}
}
So for each sport_event I would like to store the variables:
"start_time"
from "season" the variable "name"
from "competitors" both "id" and "name"
from "sport_event_status" the "winner_id"
I have already tried to flatten the json file with this code:
import json
f = open(r'path of file.json')
data = json.load(f)
def flatten(data):
for key,value in data.items():
print (str(key)+'->'+str(value))
if type(value) == type(dict()):
flatten(value)
elif type(value) == type(list()):
for val in value:
if type(val) == type(str()):
pass
elif type(val) == type(list()):
pass
else:
flatten(val)
flatten(data)
print(data)
This actually prints out the following:
id->sr:season:47332
name->Grand Slam of Darts 2017
start_date->2017-11-11
end_date->2017-11-20
year->2017
competition_id->sr:competition:597
Now my question is how to store the values I mentioned above in a csv file.
Thanks in advance for your support.
Using jq, you basically just have to transcribe your specification, adding a bit of context and taking care of an embedded array:
.summaries[]
| .sport_event # Your specification:
| [.start_time, # start_time
.sport_event_context.season.name] # from "season" the variable "name"
+ [.competitors[] | .id, .name] # from "competitors" both "id" and "name"
+ [.sport_event_status.winner_id] # from "sport_event_status" the "winner_id"
| #csv
Invocation
E.g.
jq -rf program.jq my.json
I'm working in an android app using Titanium appcelerator.
Now i'm trying out ACS REVIEWS .. I'm getting the whole db result , i need to filter by id. For that i tried to put Where condition ..But it doesn't working..
My Json
{
"id": "52ea3eba08a3e5704b330c2a2a",
"rating": 3,
"created_at": "2014-01-30T11:59:54+0000",
"updated_at": "2014-01-30T11:59:54+0000",
"user": {
"id": "52e5f3881356b440b4b09c805",
"created_at": "2014-01-27T05:50:00+0000",
"updated_at": "2014-01-29T04:29:49+0000",
"external_accounts": [
],
"confirmed_at": "2014-01-27T05:50:00+0000",
"username": "Gk",
"role": "j",
"admin": "false",
"custom_fields": {
"phone": "91959454651",
"usertype": "0",
"status": "1",
"ios_deviceid": "",
"country_code": "IN",
"verify_code": "4574",
"verified": "1",
"contact_sms": "1",
"contact_message": "1",
"contact_email": "1",
"contact_phone": "0",
"android_gcmid": "APA91bE0mcScNlXbCENZ2D_9jylgwdwOJ6vYTqnI_Kzqx2lqLWblnn6mT4PJ6iZRNxUGA66Ke7RJ0CKC44DL3mturNs_w3QT7KhTVIWbQE2tJgBHU7gpzB2GG4sFGXL6LiayJ5zEn_AGhxBlw"
}
},
"reviewed_object": {
"type": "Post",
"id": "52e7800313556440b4b0aa134"
},
"custom_fields": {
}
},
{
"id": "52ea3e9d4430d0b1e0c1c16",
"rating": 3,
"created_at": "2014-01-30T11:59:25+0000",
"updated_at": "2014-01-30T11:59:25+0000",
"user": {
"id": "52e8fe464643d0b130b85f5",
"first_name": "Ganesh",
"last_name": "test",
"created_at": "2014-01-29T13:12:38+0000",
"updated_at": "2014-01-29T13:12:38+0000",
"external_accounts": [
],
"confirmed_at": "2014-01-29T13:12:38+0000",
"username": "john",
"role": "r",
"admin": "false"
},
"reviewed_object": {
"type": "Post",
"id": "52e7800343556b4dsfsdfh3434"
},
"custom_fields": {
}
},
]
I want to filter using this id..
"reviewed_object": {
"type": "Post",
"id": "52e7800343556b4dsfsdfh3434"
}
What should i write in my WHERE Condition..
Cloud.Reviews.query({
page : 1,
per_page : 20,
where : {
rating : {
'$gt' : 1.0
},
},
order : "-created_at"
}
i have added my post id condition without where statement ..It worked perfectly..
My Code:
Cloud.Reviews.query({
page :1,
per_page : 20,
post_id : Your Post id
}, function(e) {
if (e.success) {