Here is the form model schema:
{
"startTime": "",
"stopTime": "",
"id": "objectid",
"formQuestions": [
{
"type": 0,
"label": "",
"content": [
""
],
"id": "objectid"
}
]
}
relations of form.json:
"relations": {
"questions": {
"type": "embedsMany",
"model": "FormQuestion",
"option": {
"validate": true,
"autoId": true
}
}
}
If I post to http://localhost:3000/api/Forms as follow,
{
"startTime": "",
"stopTime": "",
"formQuestions": [
{
"type": 0,
"label": "a label",
"content": ["the content"]
}
]
}
it returns:
{
"startTime": "",
"stopTime": "",
"id": "54ccf7ae6159f1bc0bc6b430",
"formQuestions": []
}
But I want the embedded model formQuestion also to be inserted into the database, how can I do it? I would be grateful if anyone could help me.
Nobody knows, but I find the way myself.
It is because there is some bug about auto id generating with embedded document. It is useless even I set autoId to true. So if I post with manual id, it will success.
Just like this:
{
"startTime": "",
"stopTime": "",
"formQuestions": [
{
"id": 1,
"type": 0,
"label": "a label",
"content": ["the content"]
}
]
}
Related
In one colomn response is store like this :-
I have this model.py:
class Form(models.Model):
id = models.CharField(max_length=100, blank=True)
children = models.JSONField(null=True, blank=True)
this is my views.py file:
class FormAPIView(APIView):
def get(self, request):
queryset = Form.objects.all()
queryset = queryset.filter(children__contains=[{"id": "propertyName#0"}])
I have tried this , but didn't get expected output
Now i want to filter this response
[
{
"id": "A",
"children": [
{
"id": "propertyName#0",
"index": 0,
"label": "Property",
},
{
"id": "userName#0",
"index": 1,
"label": "Reported By",
},
{
"id": "textinput#0",
"index": 2,
"label": "Reported By Title",
},
{
"id": "dateinput",
"index": 3,
"label": "Date Reported",
}
],
"component": "sectionDivider"
},
{
"id": "B",
"children": [
{
"id": "propertyName#0",
"index": 0,
"label": "Property",
},
{
"id": "userName#0",
"index": 1,
"label": "Reported By",
},
{
"id": "textinput#0",
"index": 2,
"label": "Reported By Title",
},
{
"id": "dateinput",
"index": 3,
"label": "Date Reported",
}
],
"component": "sectionDivider"
},
{
"id": "C",
"children": [
{
"id": "propertyName#0",
"index": 0,
"label": "Property",
},
{
"id": "userName#0",
"index": 1,
"label": "Reported By",
},
{
"id": "textinput#0",
"index": 2,
"label": "Reported By Title",
},
{
"id": "dateinput",
"index": 3,
"label": "Date Reported",
}
],
"component": "sectionDivider"
}
]
I want to filter like this
how can i get this response
I have id for the check like id: "A", id :"B" should only filter A and B and inside A and B i also want to filter.
[
{
"id": "A",
"children": [
{
"id": "propertyName#0",
"index": 0,
"label": "Property",
}
],
"component": "sectionDivider"
},
{
"id": "B",
"children": [
{
"id": "propertyName#0",
"index": 0,
"label": "Property",
},
{
"id": "userName#0",
"index": 1,
"label": "Reported By",
}
],
"component": "sectionDivider"
}
]
Till now i have tried django orm but unable to get expected output
Django ORM does provide support for nested queries inside the JSONField.
Assuming your JSON field is defined like this:
class SomeModel(models.Model):
....
parent = JSONField()
The desired results can be achieved by using the ORM and the contains lookup:
SomeModel.objects.filter(
parent__contains=[{"id":"A", "children": [{"label": "Property"}]}, {"id":"B"}]
)
It's quite powerful and allows you to do nested filtering as well.
See how I used the children:label filter along with the id filter.
NOTE: this question is specifically for support staff of the HERE Developer API because they ask freemium users to post support questions on Stack Overflow rather than trying to contact them directly. If you're not a member of their staff and you're unable to help or if the question is unclear to you, don't worry about it. :)
For some reason the /discover endpoint doesn't return the "Buffalo Exchange" place that's at my specified coordinates, but only returns 2 localities that are much further away. This is the query that I'm using: https://discover.search.hereapi.com/v1/discover?at=34.003975%2C-118.484823&q=Buffalo&limit=20&apiKey=<insert API KEY>. These are the results I currently receive:
{
"items": [
{
"title": "Buffalo, NY, United States",
"id": "here:cm:namedplace:21018816",
"resultType": "locality",
"localityType": "city",
"address": {
"label": "Buffalo, NY, United States",
"countryCode": "USA",
"countryName": "United States",
"stateCode": "NY",
"state": "New York",
"county": "Erie",
"city": "Buffalo",
"postalCode": "14202"
},
"position": {
"lat": 42.88544,
"lng": -78.87846
},
"distance": 3551940,
"mapView": {
"west": -78.9168,
"south": 42.82603,
"east": -78.79492,
"north": 42.96651
}
},
{
"title": "Buffalo City, Eastern Cape, South Africa",
"id": "here:cm:namedplace:23402337",
"resultType": "locality",
"localityType": "city",
"address": {
"label": "Buffalo City, Eastern Cape, South Africa",
"countryCode": "ZAF",
"countryName": "South Africa",
"state": "Eastern Cape",
"county": "Buffalo City",
"city": "Buffalo City",
"postalCode": "5201"
},
"position": {
"lat": -33.0148,
"lng": 27.9038
},
"distance": 16910944,
"mapView": {
"west": 27.15745,
"south": -33.28749,
"east": 28.08053,
"north": -32.674
}
}
]
}
You can see that for both places the resultType is "locality".
Now compare that to the first result of a similar query that searches for the term "Exchange" instead of "Buffalo". All other query params are the same. This is the URL: https://discover.search.hereapi.com/v1/discover?at=34.003975%2C-118.484823&q=Exchange&limit=20&apiKey=<insert API KEY>, and this is how the results begin (not shown fully because there are many results):
{
"items": [
{
"title": "Buffalo Exchange",
"id": "here:pds:place:8403fv6k-b15f290ec4f409deea99318f7388bbd6",
"resultType": "place",
"address": {
"label": "Buffalo Exchange, 2449 Main St, Santa Monica, CA 90405, United States",
"countryCode": "USA",
"countryName": "United States",
"stateCode": "CA",
"state": "California",
"county": "Los Angeles",
"city": "Santa Monica",
"district": "City of Santa Monica",
"street": "Main St",
"postalCode": "90405",
"houseNumber": "2449"
},
"position": {
"lat": 34.00342,
"lng": -118.48483
},
"access": [
{
"lat": 34.00331,
"lng": -118.48493
}
],
"distance": 61,
"categories": [
{
"id": "600-6800-0090",
"name": "Women's Apparel",
"primary": true
},
{
"id": "600-6800-0000",
"name": "Clothing & Accessories"
},
{
"id": "600-6800-0089",
"name": "Men's Apparel"
},
{
"id": "600-6900-0251",
"name": "Used/Second-hand Merchandise Stores"
}
],
"references": [
{
"supplier": {
"id": "core"
},
"id": "1211447153"
},
{
"supplier": {
"id": "yelp"
},
"id": "5PzeN6hGLBPmJpCJ2ZmfCQ"
}
],
"contacts": [
{
"phone": [
{
"value": "+13103147300"
},
{
"value": "+13103924301",
"categories": [
{
"id": "600-6800-0000"
}
]
}
],
"fax": [
{
"value": "(520) 622-7015",
"categories": [
{
"id": "600-6800-0000"
}
]
}
],
"www": [
{
"value": "http://www.buffaloexchange.com",
"categories": [
{
"id": "600-6800-0000"
},
{
"id": "600-6900-0251"
}
]
}
],
"email": [
{
"value": "contact#bufex.com",
"categories": [
{
"id": "600-6800-0000"
}
]
}
]
}
],
"openingHours": [
{
"categories": [
{
"id": "600-6800-0000"
}
],
"text": [
"Mon-Sun: 11:00 - 20:00"
],
"isOpen": false,
"structured": [
{
"start": "T110000",
"duration": "PT09H00M",
"recurrence": "FREQ:DAILY;BYDAY:MO,TU,WE,TH,FR,SA,SU"
}
]
},
{
"categories": [
{
"id": "600-6800-0090"
},
{
"id": "600-6900-0251"
}
],
"text": [
"Mon-Sat: 11:00 - 20:00",
"Sun: 11:00 - 19:00"
],
"isOpen": false,
"structured": [
{
"start": "T110000",
"duration": "PT09H00M",
"recurrence": "FREQ:DAILY;BYDAY:MO,TU,WE,TH,FR,SA"
},
{
"start": "T110000",
"duration": "PT08H00M",
"recurrence": "FREQ:DAILY;BYDAY:SU"
}
]
}
]
},
...
}
You can see that the first result has the name "Buffalo Exchange" and the "resultType" is "place". This is the result I want. The question is why does this result fail to show up when the search query is "Buffalo"? Of course with the /discover endpoint I can't specify the category IDs I want to search, that's only available via the /browse endpoint. But with the /browse endpoint I can't specify a specific search term like "Buffalo" or "Exchange".
Update: this problem also happens with the "Bison" query in Alberta, Canada. The query for this is https://discover.search.hereapi.com/v1/discover?at=56.745531%2C-111.351341&q=Exchange&limit=20&apiKey=<insert API KEY>. This query yields only 10 results, and only 4 of them have resultType of "place".
We recommend application developers to use both Autosuggest and Discover, you get the nearby Buffalo Exchange because Autosuggest considers that the query is incomplete. Note that Discover considers the query to be complete.
As HERE Geocoding and Search is meant to provide relevant responses to user queries.
Geocoding Search Api (Autosuggest): https://developer.here.com/documentation/geocoding-search-api/dev_guide/topics/endpoint-autosuggest-brief.html
Geocoding Search Api (Discover): https://developer.here.com/documentation/geocoding-search-api/dev_guide/topics/endpoint-discover-brief.html
The above-mentioned user guide can help modify the query for accurate results.
I have a table for some activities like
[
{
"id": 123,
"name": "Ram",
"status": 1,
"activity": "Poster Design"
},
{
"id": 123,
"name": "Ram",
"status": 1,
"activity": "Poster Design"
},
{
"id": 124,
"name": "Leo",
"categories": [
"A",
"B",
"C"
],
"status": 1,
"activity": "Brochure"
},
{
"id": 134,
"name": "Levin",
"categories": [
"A",
"B",
"C"
],
"status": 1,
"activity": "3D Printing"
}
]
I want to get this data from elastic search 5.5 by sorting on field activity, but I need all the data corresponding to name = "Ram" first and then remaining in a single query.
You can use function score query to boost the result based on match for the filter(this case ram in name).
Following query should work for you
POST sort_index/_search
{
"query": {
"function_score": {
"query": {
"match_all": {}
},
"boost": "5",
"functions": [{
"filter": {
"match": {
"name": "ram"
}
},
"random_score": {},
"weight": 1000
}],
"score_mode": "max"
}
},
"sort": [{
"activity.keyword": {
"order": "desc"
}
}]
}
I would suggest using a bool query combined with the should clause.
U will also need to use the sort clause on your field.
I'm currently creating Avro schema to store twitter data streams.
My data source in JSON:
{
'id': '123456789',
'text': 'bla bla bla...',
'entities': {
'hashtags': [{'text':'hashtag1'},{'text':'hashtag2'}]
}
}
in Cassandra, I can define collection (sets or lists) to store hashtags data.
But I have no idea how to define this structure in Apache Avro.
Here's my best try:
{"namespace": "ln.twitter",
"type": "record",
"name": "main",
"fields": [
{"name": "id","type": "string"},
{"name": "text","type": "string"},
{"name": "hashtags","type": "string"} // is there any better format for this ?
]
}
Need your advice please.
Thanks,
Yusata.
The entities field needed explicit records (or maps) inside. Here's a schema that should work:
{
"type": "record",
"name": "Main",
"fields": [
{
"name": "id",
"type": "string"
},
{
"name": "text",
"type": "string"
},
{
"name": "entities",
"type": {
"type": "record",
"name": "Entities",
"fields": [
{
"name": "hashtags",
"type": {
"type": "array",
"items": {
"type": "record",
"name": "Hashtag",
"fields": [
{
"name": "text",
"type": "string"
}
]
}
}
}
]
}
}
]
}
In case it's helpful, you can use this tool to generate an (anonymous) Avro schema from any valid JSON record. You'll then just need to add names to the record types.
You can try it on your example after switching its ' to ":
{
"id": "123456789",
"text": "bla bla bla...",
"entities": {"hashtags": [{"text": "hashtag1"}, {"text": "hashtag2"}]}
}
I am new to CouchDB. I have a 9 gb dataset loaded into my couchdb. I am able to map everything correctly. But I cannot reduce any of the results using the code written in the reduce column. When i tried log, log shows that rereduce values as false. Do i need to do anything special while doing the Map() or how to set the rereduce value is TRUE??
A sample of my data is as follows:
{
"_id": "33d4d945613344f13a3ee92933b160bf",
"_rev": "1-0425ca93e3aa939dff46dd51c3ab86f2",
"release": {
"genres": {
"genre": "Electronic"
},
"status": "Accepted",
"videos": {
"video": [
{
"title": "[1995] bola - krak jakomo",
"duration": 349,
"description": "[1995] bola - krak jakomo",
"src": "http://www.youtube.com/watch?v=KrELXoYThpI",
"embed": true
},
{
"title": "Bola - Forcasa 3",
"duration": 325,
"description": "Bola - Forcasa 3",
"src": "http://www.youtube.com/watch?v=Lz9itUo5xtc",
"embed": true
},
{
"title": "Bola (Darrell Fitton) - Metalurg (MV)",
"duration": 439,
"description": "Bola (Darrell Fitton) - Metalurg (MV)",
"src": "http://www.youtube.com/watch?v=_MYpOOMRAeQ",
"embed": true
}
]
},
"labels": {
"label": {
"catno": "SKA005",
"name": "Skam"
}
},
"companies": "",
"styles": {
"style": [
"Downtempo",
"Experimental",
"Ambient"
]
},
"formats": {
"format": {
"text": "",
"name": "Vinyl",
"qty": 1,
"descriptions": {
"description": [
"12\"",
"Limited Edition",
"33 ⅓ RPM"
]
}
}
},
"country": "UK",
"id": 1928,
"released": "1995-00-00",
"artists": {
"artist": {
"id": 390,
"anv": "",
"name": "Bola",
"role": "",
"tracks": "",
"join": ""
}
},
"title": 1,
"master_id": 13562,
"tracklist": {
"track": [
{
"position": "A1",
"duration": "4:33",
"title": "Forcasa 3"
},
{
"position": "A2",
"duration": "5:48",
"title": "Krak Jakomo"
},
{
"position": "B1",
"duration": "7:50",
"title": "Metalurg 2"
},
{
"position": "B2",
"duration": "6:40",
"title": "Balloom"
}
]
},
"data_quality": "Correct",
"extraartists": {
"artist": {
"id": 388200,
"anv": "",
"name": "Paul Solomons",
"role": "Mastered By",
"tracks": "",
"join": ""
}
},
"notes": "Limited to 480 copies.\nA1 is a shorter version than that found on the 'Soup' LP.\nA2 ends in a lock groove."
}
}
My intention is to count the mapped values. My mapping function is as follows:
function(doc){
if(doc.release)
emit(doc.release.title,1)
}
Map results shows around 5800 results
I want to use the following functions in the reduce tab to count:
Reduce:
_count or _sum
It does not give single rounded value. Even i cannot get the simple _count operations right !!! :(
for screenshot,
Please help me !!!
What you got was the sum of values per title. What you wanted, was the sum of values in general.
Change the grouping drop-down list to none.
Check CouchdDB's wiki for more details on grouping.