I am trying to implement Like function in my rails app.
What I do for now is I have model Question, Answer and Like.
Basically,
Question model has question details for example user_id, question_text, Answer model has answer details for example user_id, answer_text and Like model has relationship for like between user_id, question_id, and answer_id.
In my Question controller, I want to render Question details page, where it will shows us a question and few answers.
I have render the question json, and answers related to the question.
{
"questions": [
{
"id": 1,
"text": "Turtoise",
"user_id": 22
}
],
"answers": [
{
"id": 41,
"question_id": 1,
"user_id": 17,
"text": "Good"
},
{
"id": 7,
"question_id": 1,
"user_id": 17,
"text": "alifff"
}
],
"isLike": [
{
"id": 1,
"user_id": "17",
"question_id": "1",
"answer_id": null,
"isLike": false
}
]
}
Now I want to render the json like this
{
"questions": [
{
"id": 1,
"text": "Turtoise",
"isLike": {
"id": 1,
"user_id": "17",
"question_id": "1",
"answer_id": null,
"isLike": true
}
}
],
"answers": [
{
"id": 7,
"text": "Good",
"isLike": {
"id": 2,
"user_id": "17",
"question_id": null,
"answer_id": "8",
"isLike": false
}
},
{
"id": 8,
"text": "Nice",
"isLike": {
"id": 3,
"user_id": "17",
"question_id": null,
"answer_id": "8",
"isLike": false
}
}
]
}
Can you give me some idea how to do this.
You may need to play with rails relationship here.
General speaking, your Question hasMany Like, and Like belongsTo Question. Same goes to Answer, Answer hasMany Like, and Like belongsTo Answer.
Since Like can belongsTo more than one model, you can try using Polymorphism Association.
http://guides.rubyonrails.org/association_basics.html#polymorphic-associations
Related
My EF Core application is returning what I imagine is context information in response instead of model. When calling the endpoint with expand option. This is the result returned:
{
"$id": "1",
"instance": null,
"container": {
"$id": "2",
"name": "SurveyQuestionValidations",
"value": null,
"next0": {
"$id": "3",
"name": "Id",
"value": 1,
"autoSelected": true
},
"autoSelected": false
},
"model": {
"$id": "4",
"schemaElements": [
{
"$id": "5",
"declaredKey": [
{
"$id": "6",
"defaultValueString": null,
"propertyKind": 1,
"type": {
"isNullable": false,
"definition": {
"$id": "7",
"name": "Int32",
"namespace": "Edm",
"typeKind": 1,
"primitiveKind": 9,
"schemaElementKind": 1,
"fullName": "Edm.Int32"
}
},
"declaringType": {
"$ref": "5"
},
"name": "Id"
}
],
"schemaElementKind": 1,
"namespace": "Data.Models",
"name": "SurveyQuestion",
"fullName": "Data.ModelsSurveyQuestion",
"typeKind": 2,
"hasStream": false,
"isAbstract": false,
"isOpen": false,
"declaredProperties": [ ...etc
This only happens when using expand. And the query is really slow but I believe it is related.
The default result of rendering FastJsonApi gem serialized_json like below:
render json: FlashcardSerializer.new(flashcards).serialized_json
would be something like this:
{
"data": [
{
"id": "1",
"type": "flashcard",
"attributes": {
"question": "why?",
"answer": "pretty good",
"slug": null
}
},
{
"id": "2",
"type": "flashcard",
"attributes": {
"question": "What is 0",
"answer": "it is 0",
"slug": null
}
}
]
}
I would rather add some extra information especially for pagination and I like the result to be something like this:
{
"data": [
{
"id": "1",
"type": "flashcard",
"attributes": {
"question": "why?",
"answer": "pretty good",
"slug": null
}
},
{
"id": "2",
"type": "flashcard",
"attributes": {
"question": "What is 0",
"answer": "it is 0",
"slug": null
}
},
"count":100,
"page":1,
]
}
I am aware of other available gems that manage pagination in API, and I know how to do it without Fastjson. The main issue here is that is there any way to get the aforementioned result from this gem without changing a lot in the code. Thanks
The desired document would be invalid according to the JSON API specification. You would need to include next and previous links in a link section. The current and total_count would belong in the meta section.
{
"data": [
{
"id": "1",
"type": "flashcard",
"attributes": {
"question": "why?",
"answer": "pretty good",
"slug": null
}
},
{
"id": "2",
"type": "flashcard",
"attributes": {
"question": "What is 0",
"answer": "it is 0",
"slug": null
}
},
]
"meta": {
"page": { "current": 1, "total": 100 }
},
"links": {
"prev": "/example-data?page[before]=yyy&page[size]=1",
"next": "/example-data?page[after]=yyy&page[size]=1"
},
}
Have a look at the JSON API specification before you continue designing the API.
You can pass these information into the serializer as an options argument
class FlashcardsController < ApplicationController
def index
render json: FlashcardSerializer.new(
flashcards, { links: {}, meta: { page: { current: 1 } }
).serialized_json
end
end
How you generate the data depends what you use to paginate.
If you design a new API, I would also recommend to use cursor based pagination rather than offset pagination because of it's limitations.
https://github.com/Netflix/fast_jsonapi#compound-document
https://github.com/Netflix/fast_jsonapi/blob/master/spec/lib/object_serializer_spec.rb#L8-L32
I'm trying to create a structure for the following json object using swift decodable.
{
"template": [
{
"id": 8,
"question": "Favorite Color?",
"category": "Color",
"section": "Favorite Colors",
"is_active": 1,
},
[
{
"id": 14,
"question_id": 8,
"option_name": "Red",
"is_active": 1,
},
{
"id": 16,
"question_id": 8,
"option_name": "Orange",
"is_active": 1,
}
],
{
"id": 9,
"question": "What cars do you drive?",
"category": "Cars",
"section": "Favorite Cars",
"is_active": 1,
},
[
{
"id": 15,
"question_id": 9,
"option_name": "Toyota",
"is_active": 1,
},
{
"id": 18,
"question_id": 9,
"option_name": "Honda",
"is_active": 1,
},
{
"id": 19,
"question_id": 9,
"option_name": "BMW",
"is_active": 1,
}
]
]
}
I have some like:
public struct GameTemplate:Decodable {
question:String?
}
public struct Game:Decodable {
let template[GameTemplate]
}
For some reason when i tried to parse it doesn't work i get an error stating that struct is not a dictionary. I have tried casting the struct value but that didn't work either at this point just need to get a nice and clean json object after is decoded.
your JSON format is not consistent.
Just take the first category of color :
{
"template": [
{
"id": 8,
"question": "Favorite Color?",
"category": "Color",
"section": "Favorite Colors",
"is_active": 1,
},
[
{
"id": 14,
"question_id": 8,
"option_name": "Red",
"is_active": 1,
},
{
"id": 16,
"question_id": 8,
"option_name": "Orange",
"is_active": 1,
}
],
]
}
The template is an array having dictionary on 0 index and array on 1 index.
It is decodable in a different way but that's an extra effort.
If possible make the JSON data consistent and club categories in one index of array as :
{
"template": [
{
"id": 8,
"question": "Favorite Color?",
"category": "Color",
"section": "Favorite Colors",
"is_active": 1,
"subCategory": [
{
"id": 14,
"question_id": 8,
"option_name": "Red",
"is_active": 1,
},
{
"id": 16,
"question_id": 8,
"option_name": "Orange",
"is_active": 1,
}
]
}
]
}
and the same way club the different category of cars.
It will be easy for you to decode as:
public struct GameTemplate:Decodable {
question: String?
subCategory: [SubCategory]
}
public struct SubCategory:Decodable {
option_name: String?
}
public struct Game:Decodable {
let template: [GameTemplate]
}
Hope you get it what I am trying to explain.
I'm new to the SurveyMonkey API and it hasn't been too difficult to get payloads back from API calls, but right now I'm trying to get back what responses a specific respondent gave.
I have a survey which has two respondents, the first question on the survey asks the user to enter three pieces of information: Their Name, an ID and today's date.
So, if I do a call to get_survey_details, I can see the questions just fine. For example
obj.pages[0].questions[0].answers[0].answerid: "xxxxxxxx" //some long ID
obj.pages[0].questions[0].answers[0].text: "Enter Your Name"
obj.pages[0].questions[0].answers[0].type: "row"
There's a couple more pieces of information in that object, like whether the question is visible, etc., but these seem to be the pertinent pieces to the question I have.
So! I make another call to get_responses using the same survey_id and respondent_id (there's only two so actually I get them both).
In the resulting payload I get an array of 2 objects (one to hold each respondents responses). So I look in the first (obj[0]) and I see an array of questions and the respondent id. Fine. I look in the questions array and I see one object for each question and in each of those an answers object.
so that's:
obj[0].questions[0].answers[0].col: "yyyyyy" //some long ID
obj[0].questions[0].answers[0].row: "nnnnnn" //some other long ID
No response text. just this row/col business.
At this point, I'm super-confused (which is like regular confused, but with a cape). Where the heck are the respondents actual responses?
What the heck does "row" and "column" reference? Do I have to do some other API call with the row and/or column in order to get the text of the respondent's response?
I've looked through the documentation (and will continue to do so after posting this) and through stackoverflow to see if anyone else has asked this before. There was one question that came close, but really they were just forgetting to pair 'get_responses' with 'get_survey_details'. I'm doing that, but am still lost as ever. And I don't see any documentation really explaining in detail how this row/column concept works for mapping responses to the text of the response. :/
I know this is a really long-winded question, but I'm just so confused as to how to actually get responses out of this API. :(
Thanks for reading.
The text for a given response should come through under the "text" key. e.g. for a survey that only consists of an essay style question:
{
"status": 0,
"data": [
{
"respondent_id": "123456",
"questions": [
{
"answers": [
{
"text": "This is an essay style answer.",
"row": "0"
}
],
"question_id": "78910"
}
]
}
]
}
"row" and "col" literally reference the row and column of an answer - e.g. in a matrix question, there will be a list of rows for different questions ("what did you think of the hotel?") and ratings ("bad, okay, great") - and each answer is a combination of these. For a regular multiple choice question there will be multiple rows and only one column.
Calling "get_responses" with the correct respondent_id should provide you with the text response that you want. It's only the fixed details of the answer stored in the survey itself you should have to look up (provided in get_survey_details).
Using GET : /surveys/{survey_id}/details, we can get the corresponding question Ids along with the answer Ids.
{
"pages": [
{
"href": "https://api.surveymonkey.net/v3/surveys/87263608/pages/260492760",
"description": "",
"questions": [
{
"sorting": null,
"family": "matrix",
"subtype": "rating",
"required": {
"text": "This question requires an answer.",
"amount": "0",
"type": "all"
},
"answers": {
"rows": [
{
"visible": true,
"text": "",
"position": 1,
"id": "10788526669"
}
],
"choices": [
{
"description": "Not at all likely",
"weight": -100,
"id": "10788526670",
"visible": true,
"is_na": false,
"text": "Not at all likely - 0",
"position": 1
},
{
"description": "",
"weight": -100,
"id": "10788526671",
"visible": true,
"is_na": false,
"text": "1",
"position": 2
},
{
"description": "",
"weight": -100,
"id": "10788526672",
"visible": true,
"is_na": false,
"text": "2",
"position": 3
},
{
"description": "",
"weight": -100,
"id": "10788526673",
"visible": true,
"is_na": false,
"text": "3",
"position": 4
},
{
"description": "",
"weight": -100,
"id": "10788526674",
"visible": true,
"is_na": false,
"text": "4",
"position": 5
},
{
"description": "",
"weight": -100,
"id": "10788526675",
"visible": true,
"is_na": false,
"text": "5",
"position": 6
},
{
"description": "",
"weight": -100,
"id": "10788526676",
"visible": true,
"is_na": false,
"text": "6",
"position": 7
},
{
"description": "",
"weight": 0,
"id": "10788526677",
"visible": true,
"is_na": false,
"text": "7",
"position": 8
},
{
"description": "",
"weight": 0,
"id": "10788526678",
"visible": true,
"is_na": false,
"text": "8",
"position": 9
},
{
"description": "",
"weight": 100,
"id": "10788526679",
"visible": true,
"is_na": false,
"text": "9",
"position": 10
},
{
"description": "Extremely likely",
"weight": 100,
"id": "10788526680",
"visible": true,
"is_na": false,
"text": "Extremely likely - 10",
"position": 11
}
]
},
"visible": true,
"href": "https://api.surveymonkey.net/v3/surveys/87263608/pages/260492760/questions/1044924866",
"headings": [
{
"heading": "How likely is it that you would recommend XYZ to a friend or colleague?"
}
],
"position": 1,
"validation": null,
"id": "1044924866",
"forced_ranking": false
},
{
"sorting": null,
"family": "single_choice",
"subtype": "vertical",
"required": null,
"answers": {
"choices": [
{
"visible": true,
"text": "High Interest",
"position": 1,
"id": "10788529403"
},
{
"visible": true,
"text": "Long process",
"position": 2,
"id": "10788529404"
},
{
"visible": true,
"text": "Low XYZ Amount",
"position": 3,
"id": "10788529405"
},
{
"visible": true,
"text": "Lot of Documents",
"position": 4,
"id": "10788529406"
},
{
"visible": true,
"text": "Bad customer service",
"position": 5,
"id": "10788529407"
}
]
},
"visible": true,
"href": "https://api.surveymonkey.net/v3/surveys/87263608/pages/260492760/questions/1044925207",
"headings": [
{
"heading": "What is the most important issue which we need to address for overall a better service?"
}
],
"position": 2,
"validation": null,
"id": "1044925207",
"forced_ranking": false
}
],
"title": "",
"position": 1,
"id": "260492760",
"question_count": 2
}
],
}
We can use these ids to decipher the answer we get after fetching responses using get response API(Bulk or each respondent).
For eg:,
If my survey has two questions, like
Then after fetching the responses we get a json like this:
{
"total_time": 34,
"href": "https://api.surveymonkey.net/v3/collectors/94630092/responses/5120000552",
"custom_variables": {},
"ip_address": "182.76.20.30",
"id": "5120000552",
"logic_path": {},
"date_modified": "2016-12-01T11:01:11+00:00",
"response_status": "completed",
"custom_value": "LAI100023",
"analyze_url": "http://www.surveymonkey.com/analyze/browse/EvaBWWcU9K1XTH_2FFFBTfFul4ge94MwVWvBk0eAFDJ3c_3D?respondent_id=5120000552",
"pages": [
{
"id": "260492760",
"questions": [
{
"id": "1044924866",
"answers": [
{
"choice_id": "10788526677",
"row_id": "10788526669"
}
]
},
{
"id": "1044925207",
"answers": [
{
"choice_id": "10788529404"
}
]
}
]
}
],
"page_path": [],
"recipient_id": "2743199128",
"collector_id": "94630092",
"date_created": "2016-12-01T11:00:37+00:00",
"survey_id": "87263608",
"collection_mode": "default",
"edit_url": "http://www.surveymonkey.com/r/?sm=SfTljxZSoBFvaRUeGSI6L813qctjfG_2FDCVcqCks7CDc4TcJC_2BNHqmPYD7NNTcvST",
"metadata": {
"contact": {
"first_name": {
"type": "string",
"value": "John"
},
"last_name": {
"type": "string",
"value": "Doe"
},
"email": {
"type": "string",
"value": "neeta#xyz.com"
}
}
}
}
We can map the questions and answers using their IDs in this response with the ids we got from survey details. For open ended text questions, we get direct typed responses.
I've been really struggling getting a simple scenario running with EmberJS and Rails.
Here's what I have (combined JS):
App = Ember.Application.create
LOG_TRANSITIONS: true
App.Post = DS.Model.extend
title: DS.attr 'string'
description: DS.attr 'string'
App.StreamRoute = Ember.Route.extend
setupController: (controller, model) ->
controller.set 'posts', model
model: -> #store.find('post')
App.Router.map ->
#.route 'stream', path: '/'
Here's the template content:
{{#each posts}}
{{title}}
{{/each}}
Here's the /posts JSON for Post.all (perhaps this is wrong?):
{
"posts": [
{
"posts": {
"created_at": "2013-08-15T23:48:54+01:00",
"description": "A few months ago I helped develop these posters for research that our UX team had gathered to create personas for our customers to show who they are and who actually uses our product.",
"id": 7,
"likes_count": 1,
"slug": "16ErQ",
"thumb": {
"url": "\/posts\/1\/16ErQ\/man.png",
"medium": {
"url": "\/posts\/1\/16ErQ\/medium_man.png"
}
},
"title": "Persona Project",
"updated_at": "2013-08-15T23:48:54+01:00",
"user_id": 1,
"views_count": 0
}
},
{
"posts": {
"created_at": "2013-08-16T15:47:03+01:00",
"description": "Just a little something.",
"id": 8,
"likes_count": 0,
"slug": "VYIvn",
"thumb": {
"url": "\/posts\/2\/VYIvn\/face.jpg",
"medium": {
"url": "\/posts\/2\/VYIvn\/medium_face.jpg"
}
},
"title": "Face",
"updated_at": "2013-08-16T15:47:03+01:00",
"user_id": 2,
"views_count": 0
}
},
{
"posts": {
"created_at": "2013-08-16T17:03:10+01:00",
"description": "Some people say, he's still running.",
"id": 9,
"likes_count": 2,
"slug": "hQBnt",
"thumb": {
"url": "\/posts\/1\/hQBnt\/run.jpg",
"medium": {
"url": "\/posts\/1\/hQBnt\/medium_run.jpg"
}
},
"title": "Run, Forest, run.",
"updated_at": "2013-08-23T23:44:19+01:00",
"user_id": 1,
"views_count": 0
}
}
]
}
I thought this would be fine, but it doesn't quite work, when I run it, I get 3 post results (which is how many there are) but the columns all contain null values: http://c.daryl.im/RTzO
As you can see, I also have that error. Any ideas?
Your JSON looks wrong. It should be something like this:
{
"posts":[
{
"created_at":"2013-08-15T23:48:54+01:00",
"description":"A few months ago I helped develop these posters for research that our UX team had gathered to create personas for our customers to show who they are and who actually uses our product.",
"id":7,
"likes_count":1,
"slug":"16ErQ",
"thumb":{
"url":"/posts/1/16ErQ/man.png",
"medium":{
"url":"/posts/1/16ErQ/medium_man.png"
}
},
"title":"Persona Project",
"updated_at":"2013-08-15T23:48:54+01:00",
"user_id":1,
"views_count":0
},
...
]}
Basically you have nested posts and need to remove one layer.