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Hello,
I'm new in Talend. Want to extract data from file to table format.
What will steps to retrieve data in column format from below data -( _id,projectName,title,value)
Array data -
[
{
"_id": 1,
"projectName": "Test",
"languageId": 1,
"userId": 100,
"userDetails": {
"location": {
"coordinates": [
19.2666415,
72.9814762
]
},
"serialNumber": "5ab24f2d2ce1"
},
"questionDetails": [
{
"_id": 1,
"title": "QuestionName 01",
"description": "QuestionName 01",
"question": "QuestionName 01",
"type": "Radio",
"optionMap": {
"1": "Option 01",
"2": "Option 01"
},
"response": {
"value": [
"2"
]
},
"responseExtension": {
"comments": "",
"reviews": "",
"summary": "",
"imageURLs": [
],
"videoURLs": [
],
"audioURLs": [
]
}
}
],
"createdDate": {
"$date": {
"$numberLong": "1603802807000"
}
},
"lastModifiedDate": {
"$date": {
"$numberLong": "1603802807000"
}
},
"_class": "dummy"
},
{
"_id": 2,
"projectName": "Test",
"languageId": 1,
"userId": 101,
"surveyId": 1,
"sectionId": 10,
"userDetails": {
"location": {
"coordinates": [
19.0564471,
72.9033019
]
},
"serialNumber": "d8ee581588c2"
},
"questionDetails": [
{
"_id": 11,
"title": "QuestionName 02",
"description": "QuestionName 02",
"question": "QuestionName 02",
"type": "Radio",
"optionMap": {
"1": "Option 02",
"2": "Option 02"
},
"response": {
"value": [
"1"
]
},
"responseExtension": {
"comments": "",
"reviews": "",
"summary": "",
"imageURLs": [
],
"videoURLs": [
],
"audioURLs": [
]
}
}
],
"isActive": false,
"communication": {
},
"questionIndex": 0,
"isAboutToFinish": false,
"managingStatus": "archived",
"sectionIds": [
],
"questionResponses": [
],
"createdDate": {
"$date": {
"$numberLong": "1603372059000"
}
},
"lastModifiedDate": {
"$date": {
"$numberLong": "1658313691000"
}
},
"_class": "dummy"
}
]
I want to filter out only entries from a list "NestedRecords" inside each "Record" entry.
Let's say I have these Id's of nested records which should be returned:
nestedRecordsToBeReturned = [1,3]
This is the given table with records and nestedRecords inside each record:
{
"Records": [
{
"Record": "record1",
"NestedRecords": [
{
"id": 1,
"label": "l1"
},
{
"id": 2,
"label": "l2"
},
{
"id": 3,
"label": "l3"
},
{
"id": 4,
"label": "l4"
},
{
"id": 6,
"label": "l6"
}
]
},
{
"Record": "record2",
"Records": [
{
"id": 1,
"label": "l1"
},
{
"id": 2,
"label": "l2"
},
{
"id": 4,
"label": "l4"
},
{
"id": 7,
"label": "l7"
}
]
},
{
"Record": "record3",
"Records": [
{
"id": 2,
"label": "l2"
},
{
"id": 3,
"label": "l3"
},
{
"id": 9,
"label": "l9"
},
{
"id": 10,
"label": "l10"
}
]
}
]
}
This is what I want to be returned:
{
"Records": [
{
"Record": "record1",
"NestedRecords": [
{
"id": 1,
"label": "l1"
},
{
"id": 3,
"label": "l3"
},
]
},
{
"Record": "record2",
"Records": [
{
"id": 1,
"label": "l1"
},
]
},
{
"Record": "record3",
"Records": [
{
"id": 3,
"label": "l3"
},
]
}
]
}
How do I achieve this with an elastic query?
Is it even possible to filter a list which is embedded in a document?
How do I add the below to an R4 Patient?
"search": {
"extension": [
{
"url": "http://hl7.org/fhir/StructureDefinition/match-grade",
"valueCode": "certain"
}
],
"mode": "match",
"score": 1.0
}
The objects that were under stu2 and stu3 (I think) have been deprecated.
DSTU3 and Later
// Create an example patient
Patient patient = new Patient();
patient.addIdentifier().setUse(Identifier.IdentifierUse.OFFICIAL).setSystem("urn:example").setValue("7000135");
// Create an extension
Extension ext = new Extension();
ext.setUrl("http://example.com/extensions#someext");
ext.setValue(new DateTimeType("2011-01-02T11:13:15"));
// Add the extension to the resource
patient.addExtension(ext);
Full "response" json from patient match below (sample data, not real data !! )
{
"resourceType": "Bundle",
"id": "94897c77-4120-482f-bdb4-4c8b9a71ade1",
"meta": {
"versionId": "1",
"lastUpdated": "2020-11-24T08:45:49.445-05:00"
},
"type": "searchset",
"total": 1,
"link": [
{
"relation": "self",
"url": "http://wildfhir4.aegis.net/fhir4-0-0/Patient/$match?"
}
],
"entry": [
{
"fullUrl": "http://wildfhir4.aegis.net/fhir4-0-0/Patient/9126db824dcf4d5ab3f68e63bd5eaced",
"resource": {
"resourceType": "Patient",
"id": "9126db824dcf4d5ab3f68e63bd5eaced",
"meta": {
"versionId": "1",
"lastUpdated": "2020-09-03T09:03:28.193-04:00",
"tag": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ActReason",
"code": "HTEST",
"display": "test health data"
}
]
},
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><table><tbody><tr><td>Name</td><td>Peter James \n <b>Chalmers</b> ("Jim") \n </td></tr><tr><td>Address</td><td>534 Erewhon, Pleasantville, Vic, 3999</td></tr><tr><td>Contacts</td><td>Home: unknown. Work: (03) 5555 6473</td></tr><tr><td>Id</td><td>MRN: 12345 (Acme Healthcare)</td></tr></tbody></table></div>"
},
"identifier": [
{
"use": "usual",
"type": {
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v2-0203",
"code": "MR"
}
]
},
"system": "urn:oid:1.2.36.146.595.217.0.1",
"value": "12345",
"period": {
"start": "2001-05-06"
},
"assigner": {
"display": "Acme Healthcare"
}
}
],
"active": true,
"name": [
{
"use": "official",
"family": "Chalmers",
"given": [
"Peter",
"James"
]
},
{
"use": "usual",
"given": [
"Jim"
]
},
{
"use": "maiden",
"family": "Windsor",
"given": [
"Peter",
"James"
],
"period": {
"end": "2002"
}
}
],
"telecom": [
{
"use": "home"
},
{
"system": "phone",
"value": "(03) 5555 6473",
"use": "work",
"rank": 1
},
{
"system": "phone",
"value": "(03) 3410 5613",
"use": "mobile",
"rank": 2
},
{
"system": "phone",
"value": "(03) 5555 8834",
"use": "old",
"period": {
"end": "2014"
}
}
],
"gender": "male",
"birthDate": "1974-12-25",
"_birthDate": {
"extension": [
{
"url": "http://hl7.org/fhir/StructureDefinition/patient-birthTime",
"valueDateTime": "1974-12-25T14:35:45-05:00"
}
]
},
"deceasedBoolean": false,
"address": [
{
"use": "home",
"type": "both",
"text": "534 Erewhon St PeasantVille, Rainbow, Vic 3999",
"line": [
"534 Erewhon St"
],
"city": "PleasantVille",
"district": "Rainbow",
"state": "Vic",
"postalCode": "3999",
"period": {
"start": "1974-12-25"
}
}
],
"contact": [
{
"relationship": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v2-0131",
"code": "N"
}
]
}
],
"name": {
"family": "du Marché",
"_family": {
"extension": [
{
"url": "http://hl7.org/fhir/StructureDefinition/humanname-own-prefix",
"valueString": "VV"
}
]
},
"given": [
"Bénédicte"
]
},
"telecom": [
{
"system": "phone",
"value": "+33 (237) 998327"
}
],
"address": {
"use": "home",
"type": "both",
"line": [
"534 Erewhon St"
],
"city": "PleasantVille",
"district": "Rainbow",
"state": "Vic",
"postalCode": "3999",
"period": {
"start": "1974-12-25"
}
},
"gender": "female",
"period": {
"start": "2012"
}
}
],
"managingOrganization": {
"reference": "Organization/1"
}
},
"search": {
"extension": [
{
"url": "http://hl7.org/fhir/StructureDefinition/match-grade",
"valueCode": "certain"
}
],
"mode": "match",
"score": 1.0
}
}
]
}
APPEND: I found this:
https://hapifhir.io/hapi-fhir/apidocs/hapi-fhir-structures-r4/org/hl7/fhir/r4/model/codesystems/MatchGrade.html
That extension isn't allowed on Patient. It's defined with a context of Bundle.entry.search. It's not a characteristic of the patient themselves, it's a characteristic of a particular entry in a search result based on a specific set of search criteria. The same Patient instance might well be a good result on one search and a poor result on a different search. So to add the extension, you'd have to add it on a 'search' object, not patient.
Ok.
Here it is. The primary objects were inner/nested objects under Bundle....thus why I didn't see them early. (example : Bundle.BundleEntrySearchComponent)
// a java example with the import statements. #shocking!
//import org.hl7.fhir.r4.model.Bundle;
//import org.hl7.fhir.r4.model.CodeType;
//import org.hl7.fhir.r4.model.Extension;
//import org.hl7.fhir.r4.model.Patient;
//import org.hl7.fhir.r4.model.codesystems.MatchGrade;
//import java.util.Collections;
Bundle innerBundle = new Bundle();
innerBundle.setType(Bundle.BundleType.SEARCHSET);
innerBundle.setTotal(1);
Patient pat = new Patient();
HumanName hn = new HumanName();
hn.setFamily("Smith");
p.setName(Collections.singletonList(hn));
Bundle.BundleEntrySearchComponent besc = new Bundle.BundleEntrySearchComponent();
besc.setScore(0.88);
besc.setMode(Bundle.SearchEntryMode.MATCH);
Bundle.BundleEntryComponent bec = new Bundle.BundleEntryComponent();
Extension matchGradeExtension = besc.addExtension();
matchGradeExtension.setUrl("http://hl7.org/fhir/StructureDefinition/match-grade");
matchGradeExtension.setValue(new CodeType(MatchGrade.PROBABLE.toCode()));
bec.setResource(pat);
bec.setSearch(besc);
innerBundle.setEntry(Collections.singletonList(bec));
Json looks like this:
{
"resourceType": "Bundle",
"type": "searchset",
"total": 1,
"entry": [
{
"resource": {
"resourceType": "Patient",
"name": [
{
"family": "Smith"
}
]
},
"search": {
"extension": [
{
"url": "http://hl7.org/fhir/StructureDefinition/match-grade",
"valueCode": "certain"
}
],
"mode": "match",
"score": 0.88
}
}
]
}
i have a collection data
{
"success": true,
"doctor": [
{
"id": 1,
"name": "Dr. Mayank",
"dob": "1975-01-01",
"about": "This is description",
"status": 1,
"rating": 2,
"rating_given_by": 1,
"alternative_number": "7686876876",
"profile_photo": [],
"speciality": [
{
"id": 3,
"name": "Acupuncture",
"image": null,
"dashboard_flag": 1
},
{
"id": 4,
"name": "Acupuncturist",
"image": null,
"dashboard_flag": 1
},
{
"id": 1,
"name": "Accident and emergency medicine",
"image": "http://192.168.16.21/remidify/media/174/detail.png",
"dashboard_flag": 1
}
],
"service": [
{
"id": 78,
"name": "Correction of gummy smile",
"cost": "12.00"
},
{
"id": 77,
"name": "Dental aesthetics",
"cost": "43.00"
}
],
"clinics": [
{
"id": 1,
"name": "akram",
"entity_id": 1,
"entity_type": "App\Doctor",
"contact_number": "2132132132132",
"status": 0,
"consultancy_fee": "12.00",
"available_today": "No",
"owner_name": "Dr. Mayank",
"pivot": {
"doctor_id": 1,
"clinic_id": 1
},
"address": {
"id": 1,
"address_1": "asdasdasdsa",
"address_2": "",
"locality": "downtown",
"city": "noida",
"state": "up",
"postal_code": "41561566"
},
"speciality": [],
"service": [
{
"id": 11,
"name": "Laminates",
"cost": "20.00"
},
{
"id": 12,
"name": "Dental surgery",
"cost": "300.00"
}
],
"clinic_image": [
{
"id": 7,
"model_id": 1,
"model_type": "App\Clinic",
"collection_name": "clinic_image",
"file_name": "1494863957588.566162.jpg",
"disk": "media",
"url": "http://192.168.16.21/remidify/media/7/1494863957588.566162.jpg"
}
],
"id_image": [
{
"id": 8,
"model_id": 1,
"model_type": "App\Clinic",
"collection_name": "id_image",
"file_name": "1494863966218.348877.jpg",
"disk": "media",
"url": "http://192.168.16.21/remidify/media/8/1494863966218.348877.jpg"
}
],
"location": {
"id": 1,
"latitude": 0,
"longitude": 0,
"entity_id": 1,
"entity_type": "App\Clinic",
"created_at": "2017-05-16 03:00:10",
"updated_at": "2017-05-16 03:00:10"
},
"clinic_timings": [
{
"day": "sun",
"opens_at": "09:28:00",
"closes_at": "21:28:00"
}
]
}
],
"education": [
{
"id": 19,
"degree": "MBBS",
"university": "Univercity",
"year": "2017",
"entity_id": 1,
"entity_type": "App\Doctor",
"created_at": "2017-05-16 05:44:11",
"updated_at": "2017-05-16 05:44:11",
"location": "Delhi"
}
],
"experience": [
{
"id": 19,
"hospital": "Hospital name",
"post": "pta ni hai",
"from": "1970-01-01",
"to": "0000-00-00",
"entity_id": 1,
"entity_type": "App\Doctor",
"created_at": "2017-05-16 05:44:12",
"updated_at": "2017-05-16 05:44:12",
"location": "Locations12",
"is_currently_working": 1
}
],
"registration": {
"id": 1,
"registration_number": "Reg # 2324324",
"registration_year": 1975,
"registration_council": "Council",
"experience": null,
"doctor_id": 1,
"created_at": "2017-05-16 02:56:37",
"updated_at": "2017-05-16 02:56:37",
"adhaar_number": "232131231232",
"id_proof": [
{
"id": 2,
"model_id": 1,
"model_type": "App\DoctorRegistration",
"collection_name": "id_proof",
"file_name": "1494863680447.329102.jpg",
"disk": "media",
"url": "http://192.168.16.21/remidify/media/2/1494863680447.329102.jpg"
}
],
"registration_proof": [
{
"id": 3,
"model_id": 1,
"model_type": "App\DoctorRegistration",
"collection_name": "registration_proof",
"file_name": "1494863687436.266846.jpg",
"disk": "media",
"url": "http://192.168.16.21/remidify/media/3/1494863687436.266846.jpg"
}
],
"qualification_proof": [
{
"id": 4,
"model_id": 1,
"model_type": "App\DoctorRegistration",
"collection_name": "qualification_proof",
"file_name": "1494863695576.803955.jpg",
"disk": "media",
"url": "http://192.168.16.21/remidify/media/4/1494863695576.803955.jpg"
}
]
},
"preference": {
"availability": 1,
"appointment_confirmation_method": "manual",
"average_time": 7,
"holiday_from": null,
"holiday_till": null,
"patients_per_hour": null,
"preferred_appointment_type": "timeslot",
"appointment_frequency": null,
"preferred_payment_method": [
{
"payment_method": "cash"
},
{
"payment_method": "online"
}
]
},
"user": null,
"doctor_clinic": [
{
"doctor_id": 1,
"clinic_id": 1,
"consultancy_fee": "12.00",
"deleted_at": null,
"workdays": [
{
"day": "sun",
"available": 1,
"workhours": [
{
"from": "09:28:00",
"to": "21:28:00"
}
]
}
],
"service": []
}
]
}
]
}
Now how can i find the doctors whose "about or specialty name" matches with some given search string.
Thanks in advance.
Try using dd() helper and use like this below
$youcollectionvariables = { "success": true, "doctor": [ { "id": 1, "name": "Dr. Mayank", "dob": "1975-01-01"................. }
dd($youcollectionvariables)
you will see a formatted data and can find what you need clearly.
Hope that helps.
A group project of mine are struggling with a data structure, after having been told that it was initially wrong.
Alcohol consumption is the percentage of those who are on the mental health register in that particular city, so it should be a child element of mental health. To me, this looks right, but is producing no output in d3, only England, North England, Bradford City, Mental Health, and Alcohol Consumption produce an output, but not for Leeds. More data will be added, we just needed to get the structure correct.
var data = {
"name": "England",
"children": [
{
"name": "North England",
"children": [
{
"name": "Bradford City",
"children": [
{
"name": "Mental Health",
"value": 1.22,
"children": [
{
"name": "Alcohol Consumption",
"value": 70.23,
}
]
}
],
"name": "Leeds",
"children": [
{
"name": "Mental Health",
"value": 1.22,
"children": [
{
"name": "Alcohol Consumption",
"value": 70.23,
}
]
}
]
}
]
}
]
};
This is the right structure:
var data = {
"name": "England",
"children": [{
"name": "North England",
"children": [{
"name": "Bradford City",
"children": [{
"name": "Mental Health",
"value": 1.22,
"children": [{
"name": "Alcohol Consumption",
"value": 70.23,
}]
}]
}, {
"name": "Leeds",
"children": [{
"name": "Mental Health",
"value": 1.22,
"children": [{
"name": "Alcohol Consumption",
"value": 70.23,
}]
}]
}]
}]
};
The children for North England should be a list of objects.