How to flatten polymorphic lists with Moshi deserialization - android

I'm trying to flatten the following Json
[
{
"type": 1,
"field": ""
},
{
"type": 2,
"field": "",
"other_field": ""
},
{
"type": 3,
"field": "",
"list_field": [
{
"type": 4,
"some_field": ""
},
{
"type": 4,
"some_field": ""
}
]
}
]
what I'd like to obtain is the following structure:
[
{
"type": 1,
"field": ""
},
{
"type": 2,
"field": "",
"other_field": ""
},
{
"type": 3,
"field": ""
},
{
"type": 4,
"some_field": ""
},
{
"type": 4,
"some_field": ""
}
]
Since all the items inherit from the same parent class I tried both PolymorphicJsonAdapterFactory and a custom JsonAdapter.Factory but without success.
Is there a way to do that in Moshi?

Related

Handle custom response in Paging library 3 Android

I am new to the Paging 3 library in android kotlin. I want unlimited data. So I found the Paging 3 library helpful in my case. I used PagingSource to create a list. I am not using Room. I have multiple view in recyclerView. I am using PagingDataAdapter with diff util for my Recyclerview. I used the recommended tutorial for the Paging library from codelab and I succeeded without any problem.
Now I'm facing some problems in how to handle other data than matches
{
"status": {
"code": 200,
"message": "Matches found"
},
"data": {
"filters": {
"sortable_actions": [
{
"name": "asd",
"value": "sd",
"is_selected_filter": false
},
{
"name": "asd",
"value": "asd",
"is_selected_filter": false
}
],
"filter_actions": [
{
"name": "sdaf",
"display_name": "dafs",
"is_selected_filter": false
}
]
},
"cities": [
"Akora, Japan",
"Zurich, Switzerland"
],
"matches_count": {
"hot": 0,
"warm": 0,
"cool": 17
},
"matches": [
{
"id": "52832",
"type": "asdf",
"attributes": {
"name": "afd",
"pitch": "dsf",
"logo": "adsf",
"plan": "fd",
"country": "sdf",
"city": "faas",
}
},
{
"id": "52832",
"type": "asdf",
"attributes": {
"name": "",
"pitch": "",
"logo": "",
"plan": "",
"country": "",
"city": "",
}
},
{
"id": "52832",
"type": "",
"attributes": {
"name": "",
"pitch": "",
"logo": "",
"plan": "",
"country": "",
"city": "",
}
},
{
"id": "52832",
"type": "",
"attributes": {
"name": "",
"pitch": "",
"logo": "",
"plan": "",
"country": "",
"city": "",
}
}
]
}
}
can you please help me how to get filter and sorting data in my UI.

How can I generate a POJO file for this JSON response for auto-deserialization?

I get a JSON response like this from a server:
{
"name_1": [
{
"id": 1,
"type": 1,
"value": "25"
},
{
"id": 2,
"type": 2,
"value": "25"
}
],
"name_2": [
{
"id": 3,
"type": 1,
"value": "25"
},
{
"id": 6,
"type": 4,
"value": "25"
},
{
"id": 7,
"type": 4,
"value": "25"
}
],
"name_3": [
{
"id": 8,
"type": 1,
"value": "25"
}
]
}
How can I generate a POJO file for this in order to use it for auto-deserializing with retrofit?
I tried www.jsonschema2pojo.org, but it wants to create a new class for each JSON object, which is a list (name_1, name_2, name_3), but the count of "name_X" arrays could be different, as well as ther names.
So how can I create a POJO java class for auto-deserializing with GsonConverterFactory in retrofit?
Thanks! :)
You can use Map<String,List<YourObject>> where YourObject contains the id, type and value.
So, response should be :
public class YourObject {
public Map<String, NameDetail> nameDetail;
}
public class NameDetail {
public int id;
public int type;
public String value;
}
And your service with retrofit should return :
Call<YourObject> getStuff();
Your JSON structure is wrong. You should have something like this in order to get list of names:
{
"names" : [
{
"name": "name_1",
"values": [
{
"id": 1,
"type": 1,
"value": "25"
},
{
"id": 2,
"type": 2,
"value": "25"
}
]
},
{
"name": "name_2",
"values": [
{
"id": 3,
"type": 1,
"value": "25"
},
{
"id": 6,
"type": 4,
"value": "25"
},
{
"id": 7,
"type": 4,
"value": "25"
}
]
},
{
"name": "name_3",
"values": [
{
"id": 8,
"type": 1,
"value": "25"
}
]
}
]}
Or if you can't affect server-side then use HashMap<String,List<T>> like Skizo-ozᴉʞS said but it would be the best to change the structure.

Set json response get_Infographs value in recycler view of this data

{
"count": 7,
"next": null,
"previous": null,
"results": [
{
"get_Infographs": [
{
"viewCount": 17,
"likecount": 1,
"unlikeCount": 1,
"shareCount": 0,
"i_id": 532,
"p_id": 532,
"name": "Yoga happiness educational s",
"description": "Yoga happiness educational spiritual journey lifestyle health ",
"c_id": 1,
"status_id": 1,
"source_id": 316,
"date_created": null,
"parentinfograph": "Language english grammar apo",
"internal_url": "http://167.99.86.81:8000/media/DQ532.png",
"external_url": "http://yogadork.com/wp-content/uploads/2015/01/2015-yoga-resolutions-infographic.png",
"mt_id": 3,
"mtcode": "Education",
"topics": [
{
"topic_code": "#EDUCATION"
},
{
"topic_code": "#HEALTH"
}
],
"geoPolitical": [
{
"gp_code": "Default / All GPIDs"
}
],
"entity": [],
"customMetaTags": [
{
"metatag": "#"
}
]
}
]
}
]
}
Read customMetaTags it as ArrayList and then you can pass it using bundle
bundle.putSerializable("some_string", arrayList)

JSON API relationships with moshi

I'm having this response JSON that theorically follows the JSON API specs. I'm trying to parse with the moshi-jsonapi library but I don't know how to parse the some_objects relationship. In the SomeType class I have a member HasMany<SomeObject> someObjects and the class SomeObject is annotated in a proper way:
#JsonApi(type = "some_objects")
public class SomeObject extends Resource {
//....
}
But, after doing the parsing, I'm getting the someObjects member as null. Anyone knows why?
The JSON is that one:
"links": {
"self": "someurl/params"
},
"data": [
{
"type": "some_type",
"id": "12345",
"attributes": {
"attr1": 1,
"attr2": 2,
"attr3": 3
},
"relationships": {
"some_objects": {
"data": [
{
"type": "some_objects",
"id": "1"
},
{
"type": "some_objects",
"id": "2"
}
]
}
}
}
],
"included": [
{
"type": "some_objects",
"id": "1",
"attributes": {
"id": "1",
"parentId": "1"
},
"relationships": {
"subobjects": {
"data": [
{
"type": "subobjects",
"id": "2"
}
]
}
}
{
"type": "subobjects",
"id": "2",
"attributes": {
"metadata": {
"code": "AA"
},
"id": "2",
"parentId": "1"
}
}
],
"meta": {
"total": 1,
"totalCount": 1,
"correction": []
}
}
The only problem was the name of the member, after changing someObjects by 'some_objects' it worked like a charm.

Json parsing in skyscanner pricing api

I started working with sky-scanner API using volley on Android. I am able to poll the response from the API, however I have no clue how to parse the json which is sent in response, please see json below. The json response is very big, I have never worked with such responses before thus have no idea how can I handle this.
Can someone please help me figure this out? There is no sample implementation done by anyone for skyscanner for android.
JSON response to be parsed to get price, agents, flight number, carrier, duration of flight, image URL of flight.
{
"SessionKey": "97d1_ecilpojl_A",
"Query": {
"Country": "IN",
"Currency": "INR",
"Locale": "en-us",
"Adults": 1,
"Children": 0,
"Infants": 0,
"OriginPlace": "12627",
"DestinationPlace": "11712",
"OutboundDate": "2016-10-09",
"LocationSchema": "Default",
"CabinClass": "Economy",
"GroupPricing": false
},
"Status": "UpdatesComplete",
"Itineraries": [
{
"OutboundLegId": "12627-1610091100-AI-1-11712-1610091515",
"PricingOptions": [
{
"Agents": [
1963108
],
"QuoteAgeInMinutes": 5,
"Price": 19391.08,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2fat24%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
2176206
],
"QuoteAgeInMinutes": 5,
"Price": 20190,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2fcpin%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
4575202
],
"QuoteAgeInMinutes": 5,
"Price": 20315,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2fyatr%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
4056270
],
"QuoteAgeInMinutes": 5,
"Price": 20457.92,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2ftpin%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
1943172
],
"QuoteAgeInMinutes": 5,
"Price": 20876,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2fakbt%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
3987150
],
"QuoteAgeInMinutes": 5,
"Price": 20888.5,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2ft2in%2f1%2f12627.11712.2016-10-09%2fair%2ftrava%2fflights%3fitinerary%3dflight%7c-32672%7c446%7c12627%7c2016-10-09T11%3a00%7c10957%7c2016-10-09T12%3a35%3bflight%7c-"
},
{
"Agents": [
4035534
],
"QuoteAgeInMinutes": 5,
"Price": 20959.41,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2ftgin%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
1964238
],
"QuoteAgeInMinutes": 5,
"Price": 21207.92,
"DeeplinkUrl": "/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2fatin%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
4060673
],
"QuoteAgeInMinutes": 5,
"Price": 21782,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2ftrea%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
3911604
],
"QuoteAgeInMinutes": 5,
"Price": 21782,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2fsast%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
2391001
],
"QuoteAgeInMinutes": 5,
"Price": 21782,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http1.prod_0148f8394d6c2b79a407121f74dce6e1%26commercial_filters%3dfalse%26q_datetime_utc%3d2016-10-02T12%3a09%3a13"
},
{
"Agents": [
4260937
],
"QuoteAgeInMinutes": 5,
"Price": 22217.64,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2fviai%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
3929744
],
"QuoteAgeInMinutes": 5,
"Price": 22417.66,
"DeeplinkUrl": "deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http32672%26passengers%3d1%2c0%2c0%26channel%3ddataapi%26cabin_class%3deconomy%26facilitated%3dfalse%26ticket_price%3d22417.66%26is_npt%3dfalse%26is_multipart%3dfal
}
],
"BookingDetailsLink": {
"Uri": "/apiservices/pricing/v1.0/97d115d901944a33a4084a4a3170905f_ecilpojl_A1EA190098863E15CE039BCA9C3B1D16/booking",
"Body": "OutboundLegId=12627-1610091100-AI-1-11712-1610091515&InboundLegId=",
"Method": "PUT"
}
},
{
"OutboundLegId": "12627-1610090820-9W,AI-1-11712-1610091515",
"PricingOptions": [
{
"Agents": [
1963108
],
"QuoteAgeInMinutes": 5,
"Price": 37113.61,
"DeeplinkUrl": "/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2fat24%2f1%2f12627.11712.2016-10-09%2fair%2ftrava%2fflights%3fitinerary%3dflight%7c-32177%7c2367%7c12627%7c2016-"
},
{
"Agents": [
2176206
],
"QuoteAgeInMinutes": 5,
"Price": 38374,
"DeeplinkUrl": "/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2fcpin%2f1%2f12627.11712.2016-10-09%2fair%2ftrava%2fflights%3fitinerary%3dflight%7c-32177%7c2367%7c12627%7c2016-10-09T08%3a20%7c10957%7c2016-10-09T09%3a45%3bflight%7c-"
},
{
"Agents": [
4056270
],
"QuoteAgeInMinutes": 5,
"Price": 38854.31,
"DeeplinkUrl": "http://partners.api.skyscanner.net/apiservices/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2ftpin%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
1964238
],
"QuoteAgeInMinutes": 5,
"Price": 39604.31,
"DeeplinkUrl": "/deeplink/v2?_cje=9CRwSnJAYX4dZyvkLfQf7nyRn0MxGbhiKjD2KHvGPF9n99euZVUDq%2bzBrzQGTfTH&url=http%3a%2f%2fwww.apideeplink.com%2ftransport_deeplink%2f4.0%2fIN%2fen-us%2fINR%2fatin%2f1%2f12627.11712.2016-10-"
},
{
"Agents": [
2627411
],
"QuoteAgeInMinutes": 5,
"Price": 39932.95,
"DeeplinkUrl": "/deeplink/v2?_1.prod_8365f3bbc5ef11ab38406bb350796374%26commercial_filters%3dfalse%26q_datetime_utc%3d2016-10-02T12%3a09%3a12"
},
{
"Agents": [
2042574
],
"QuoteAgeInMinutes": 5,
"Price": 43940.34,
"DeeplinkUrl": "/deeplink/v2?32672%26passengers%3d1%2c0%2c0%26channel%3ddataapi%26cabin_class%3deconomy%26facilitated%3dfalse%26ticket_price%3d43940.34%26is_npt%3dfalse%26is_multipart%3dfalse%26client_id%3dskyscanner_b2b%26request_id%3dd4cc5531-1a4b-4c76-a063-447e7a8baeea%26deeplink_ids%3dap-northeast-1.prod_0b228b45aaf97f3276f40ee4109e8faf%26commercial_filters%3dfalse%26q_datetime_utc%3d2016-10-02T12%3a09%3a13"
}
],
"BookingDetailsLink": {
"Uri": "/apiservices/pricing/v1.0/97d115d901944a33a4084a4a3170905f_ecilpojl_A1EA190098863E15CE039BCA9C3B1D16/booking",
"Body": "OutboundLegId=12627-1610090820-9W,AI-1-11712-1610091515&InboundLegId=",
"Method": "PUT"
}
}
],
"Legs": [
{
"Id": "12627-1610091100-AI-1-11712-1610091515",
"SegmentIds": [
1,
2
],
"OriginStation": 12627,
"DestinationStation": 11712,
"Departure": "2016-10-09T11:00:00",
"Arrival": "2016-10-09T15:15:00",
"Duration": 255,
"JourneyMode": "Flight",
"Stops": [
10957
],
"Carriers": [
841
],
"OperatingCarriers": [
841
],
"Directionality": "Outbound",
"FlightNumbers": [
{
"FlightNumber": "446",
"CarrierId": 841
},
{
"FlightNumber": "433",
"CarrierId": 841
}
]
},
{
"Id": "12627-1610090820-9W,AI-1-11712-1610091515",
"SegmentIds": [
3,
2
],
"OriginStation": 12627,
"DestinationStation": 11712,
"Departure": "2016-10-09T08:20:00",
"Arrival": "2016-10-09T15:15:00",
"Duration": 415,
"JourneyMode": "Flight",
"Stops": [
10957
],
"Carriers": [
471,
841
],
"OperatingCarriers": [
471,
841
],
"Directionality": "Outbound",
"FlightNumbers": [
{
"FlightNumber": "433",
"CarrierId": 841
},
{
"FlightNumber": "2367",
"CarrierId": 471
}
]
}
],
"Segments": [
{
"Id": 1,
"OriginStation": 12627,
"DestinationStation": 10957,
"DepartureDateTime": "2016-10-09T11:00:00",
"ArrivalDateTime": "2016-10-09T12:35:00",
"Carrier": 841,
"OperatingCarrier": 841,
"Duration": 95,
"FlightNumber": "446",
"JourneyMode": "Flight",
"Directionality": "Outbound"
},
{
"Id": 2,
"OriginStation": 10957,
"DestinationStation": 11712,
"DepartureDateTime": "2016-10-09T13:40:00",
"ArrivalDateTime": "2016-10-09T15:15:00",
"Carrier": 841,
"OperatingCarrier": 841,
"Duration": 95,
"FlightNumber": "433",
"JourneyMode": "Flight",
"Directionality": "Outbound"
},
{
"Id": 3,
"OriginStation": 12627,
"DestinationStation": 10957,
"DepartureDateTime": "2016-10-09T08:20:00",
"ArrivalDateTime": "2016-10-09T09:45:00",
"Carrier": 471,
"OperatingCarrier": 471,
"Duration": 85,
"FlightNumber": "2367",
"JourneyMode": "Flight",
"Directionality": "Outbound"
}
],
"Carriers": [
{
"Id": 841,
"Code": "AI",
"Name": "Air India",
"ImageUrl": "http://s1.apideeplink.com/images/airlines/AI.png",
"DisplayCode": "AI"
},
{
"Id": 471,
"Code": "9W",
"Name": "Jet Airways",
"ImageUrl": "http://s1.apideeplink.com/images/airlines/9W.png",
"DisplayCode": "9W"
}
],
"Agents": [
{
"Id": 1963108,
"Name": "Mytrip",
"ImageUrl": "http://s1.apideeplink.com/images/websites/at24.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"BookingNumber": "+448447747881",
"Type": "TravelAgent"
},
{
"Id": 2176206,
"Name": "Cheapticket.in",
"ImageUrl": "http://s1.apideeplink.com/images/websites/cpin.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": false,
"Type": "TravelAgent"
},
{
"Id": 4575202,
"Name": "Yatra.com",
"ImageUrl": "http://s1.apideeplink.com/images/websites/yatr.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"BookingNumber": "18001029900",
"Type": "TravelAgent"
},
{
"Id": 4056270,
"Name": "Tripsta",
"ImageUrl": "http://s1.apideeplink.com/images/websites/tpin.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"Type": "TravelAgent"
},
{
"Id": 1943172,
"Name": "AkbarTravels.com",
"ImageUrl": "http://s1.apideeplink.com/images/websites/akbt.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"Type": "TravelAgent"
},
{
"Id": 3987150,
"Name": "Travel2be",
"ImageUrl": "http://s1.apideeplink.com/images/websites/t2in.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"Type": "TravelAgent"
},
{
"Id": 4035534,
"Name": "Travelgenio",
"ImageUrl": "http://s1.apideeplink.com/images/websites/tgin.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"Type": "TravelAgent"
},
{
"Id": 1964238,
"Name": "airtickets",
"ImageUrl": "http://s1.apideeplink.com/images/websites/atin.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"Type": "TravelAgent"
},
{
"Id": 4060673,
"Name": "Traveasy.co.in",
"ImageUrl": "http://s1.apideeplink.com/images/websites/trea.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": false,
"Type": "TravelAgent"
},
{
"Id": 3911604,
"Name": "Sastiticket.com",
"ImageUrl": "http://s1.apideeplink.com/images/websites/sast.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": false,
"Type": "TravelAgent"
},
{
"Id": 2391001,
"Name": "EaseMyTrip.com",
"ImageUrl": "http://s1.apideeplink.com/images/websites/emti.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": false,
"Type": "TravelAgent"
},
{
"Id": 4260937,
"Name": "via.com",
"ImageUrl": "http://s1.apideeplink.com/images/websites/viai.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"Type": "TravelAgent"
},
{
"Id": 3929744,
"Name": "Simplio",
"ImageUrl": "http://s1.apideeplink.com/images/websites/simp.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": false,
"Type": "TravelAgent"
},
{
"Id": 2627411,
"Name": "GotoGate",
"ImageUrl": "http://s1.apideeplink.com/images/websites/gtas.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"Type": "TravelAgent"
},
{
"Id": 2042574,
"Name": "Bravofly",
"ImageUrl": "http://s1.apideeplink.com/images/websites/bfin.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"Type": "TravelAgent"
},
{
"Id": 1882712,
"Name": "ebookers",
"ImageUrl": "http://s1.apideeplink.com/images/websites/a178.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": true,
"Type": "TravelAgent"
},
{
"Id": 4366985,
"Name": "Wegoby.com",
"ImageUrl": "http://s1.apideeplink.com/images/websites/wgby.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": false,
"Type": "TravelAgent"
},
{
"Id": 3291237,
"Name": "My Travel Genie",
"ImageUrl": "http://s1.apideeplink.com/images/websites/mtge.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": false,
"Type": "TravelAgent"
},
{
"Id": 3588558,
"Name": "Tripair",
"ImageUrl": "http://s1.apideeplink.com/images/websites/pein.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": false,
"Type": "TravelAgent"
},
{
"Id": 2834897,
"Name": "Air India",
"ImageUrl": "http://s1.apideeplink.com/images/websites/inda.png",
"Status": "UpdatesComplete",
"OptimisedForMobile": false,
"BookingNumber": "18001801407",
"Type": "Airline"
}
],
"Places": [
{
"Id": 12627,
"ParentId": 3462,
"Code": "IXL",
"Type": "Airport",
"Name": "Leh"
},
{
"Id": 10957,
"ParentId": 3401,
"Code": "DEL",
"Type": "Airport",
"Name": "New Delhi"
},
{
"Id": 11712,
"ParentId": 3424,
"Code": "GAY",
"Type": "Airport",
"Name": "Gaya"
},
{
"Id": 3462,
"ParentId": 170,
"Code": "IXL",
"Type": "City",
"Name": "Leh"
},
{
"Id": 3401,
"ParentId": 170,
"Code": "DEL",
"Type": "City",
"Name": "New Delhi"
},
{
"Id": 3424,
"ParentId": 170,
"Code": "GAY",
"Type": "City",
"Name": "Gaya"
},
{
"Id": 170,
"Code": "IN",
"Type": "Country",
"Name": "India"
}
],
"Currencies": [
{
"Code": "INR",
"Symbol": "₹",
"ThousandsSeparator": ",",
"DecimalSeparator": ".",
"SymbolOnLeft": true,
"SpaceBetweenAmountAndSymbol": false,
"RoundingCoefficient": 0,
"DecimalDigits": 2
}
]
}
If you are able to pull the json data then try using this js script:
Make sure to add jQuery
Change the value of the url variable with the session poll url you created
NOTE: Please take note that you will encounter cross origin error when you try to run this script here.
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.min.js">
( function( window, document, $ ){
var app = {};
app.init = function()
{
app.flightsGeo();
};
app.flightsGeo = function( )
{
// the session poll url you created
var url = 'http://business.skyscanner.net/apiservices/pricing/hk1/v1.0/<sessionKey>?apikey=<apikey>';
$.ajax({
type: "GET",
url: url,
dataType: 'json',
success: function( response ){
var itineraries = response.Itineraries;
var agents = response.Agents;
var legs = response.Legs;
var carriers = response.Carriers;
var places = response.Places;
$.each(itineraries, function( itineraryKey, itineraryVal ){
var inbound = app.getObjects( legs, 'Id', itineraryVal.InboundLegId),
inDepartureTime = inbound[0].Departure,
inArrivalTime = inbound[0].Arrival,
inDepartureDate = inbound[0].Departure,
inArrivalDate = inbound[0].Arrival,
inOrigin = app.getObjects( places, 'Id', inbound[0].DestinationStation),
inDestination = app.getObjects( places, 'Id', inbound[0].OriginStation),
inCarriers = app.getObjects( carriers, 'Id', inbound[0].OperatingCarriers[0]);
var outbound = app.getObjects( legs, 'Id', itineraryVal.OutboundLegId),
outDepartureTime = outbound[0].Departure,
outArrivalTime = outbound[0].Arrival,
outDepartureDate = outbound[0].Departure,
outArrivalDate = outbound[0].Arrival,
outOrigin = app.getObjects( places, 'Id', outbound[0].DestinationStation),
outDestination = app.getObjects( places, 'Id', outbound[0].OriginStation),
outCarriers = app.getObjects( carriers, 'Id', outbound[0].OperatingCarriers[0]);
var agent = app.getObjects( agents, 'Id', itineraryVal.PricingOptions[0].Agents[0]);
var price = itineraryVal.PricingOptions[0].Price.toFixed(2);
var permalink = itineraryVal.PricingOptions[0].DeeplinkUrl;
var time = itineraryVal.PricingOptions[0].QuoteAgeInMinutes;
// NEW FORMAT OF DATA
var data = {
agent : agent,
price : price,
time : time,
permalink : permalink,
inbound : {
time : {
departure : inDepartureTime,
arrival : inArrivalTime
},
date : {
departure : inDepartureDate,
arrival : inArrivalDate
},
station : {
origin : inOrigin,
destination : inDestination
},
carriers : inCarriers
},
outbound : {
time : {
departure : outDepartureTime,
arrival : outArrivalTime
},
date : {
departure : outDepartureDate,
arrival : outArrivalDate
},
station : {
origin : outOrigin,
destination : outDestination
},
carriers : outCarriers
}
};
// will display the NEW FORMAT OF DATA
console.log( data );
});
},
error: function( error ){
console.log( error );
}
});
};
app.displayData = function( data )
{
console.log( data );
};
app.getObjects = function(obj, key, val) {
var objects = [];
for (var i in obj) {
if (!obj.hasOwnProperty(i)) continue;
if (typeof obj[i] == 'object') {
objects = objects.concat(app.getObjects(obj[i], key, val));
} else
//if key matches and value matches or if key matches and value is not passed (eliminating the case where key matches but passed value does not)
if (i == key && obj[i] == val || i == key && val == '') { //
objects.push(obj);
} else if (obj[i] == val && key == ''){
//only add if the object is not already in the array
if (objects.lastIndexOf(obj) == -1){
objects.push(obj);
}
}
}
return objects;
};
$(document).ready( app.init );
return app;
})( window, document, jQuery );
</script>
P.S. I hope this will helps you the idea how to get the data you need.
I'll show a basic example of how to parse. Take the following sample JSON.
http://api.androidhive.info/contacts/
How to get the contacts list.
JSONObject jsonObj = new JSONObject("Your JSON String here");
JSONArray contacts = jsonObj.optJSONArray("contacts");
How to calculate the phone number
//Get first contact
JSONObject firstContact = contacts.optJSONObject(0);
JSONObject phone = firstContact.optJSONObject("phone");
String mobileNo = phone.optString("mobile");
Similarly you can apply this technique to your JSON.

Categories

Resources