1548731903
JSON Androi parsing JSONArray Ask
I'm trying to parse the JSON :
{
"shopId": 45123,
"name":"London",
"desc":"# The city\n## Intro\n**London** is the capital and most populous city of England and the United Kingdom, as well as the most populous municipality in the European Union. Standing on the _River Thames_ in the south east of the island of Great Britain \n## History \n London has been a major settlement for two millennia. It was founded by the Romans, who named it [Londinium](https://en.wikipedia.org/wiki/Londinium). London's ancient core, the City of London, largely retains its 1.12-square-mile (2.9 km2) medieval boundaries.",
"priceRating": 4.2,
"qualityRating":5.0,
"thumbnail":"https://s-media-cache-ak0.pinimg.com/736x/90/63/4e/90634e974743ed9409f527e3b2f24852.jpg",
"stops":
[
{
"num": 1,
"time": "2016-04-27T06:15:00.000Z",
"title":"Flight to London",
"desc":"Barcelona BCN-London-Gatwick LGW",
"type":"0",
"subtype":0
},
{
"num": 2,
"time": "2016-04-27T10:35:00.000Z",
"title":"Gatwick express",
"desc":"From Airport to London",
"type":"0",
"subtype":1
},
{
"num": 3,
"time": "2016-04-27T12:15:00.000Z",
"title":"Pub the black horse",
"desc":"From Airport to London",
"type":1,
"subtype":1,
"location": "51.476334, -0.062700",
"images": [ "https://fitzrovianews.files.wordpress.com/2011/01/black_horse_rathbone_pl.jpg"
]
},
{
"num": 4,
"time": "2016-04-27T12:16:47.000Z",
"title":"The Tower Bridge",
"desc":"# The Tower Bridge Facts\n## Architecture\n**Tower Bridge** is a combined bascule and suspension bridge in London built in _1886–1894_. The bridge crosses the River Thames close to the Tower of London and has become an iconic symbol of London. Tower Bridge is one of five London bridges now owned and maintained by the Bridge House Estates, a charitable trust overseen by the City of London Corporation. \n>It is the only one of the Trust's bridges not to connect the City of London directly to the Southwark bank, as its northern landfall is in Tower Hamlets.\n## The bridge Exhibition\nThis must-see London attraction invites you to step inside the most famous bridge in the world to explore its iconic structure, spectacular views and glass floor, modern exhibitions and magnificent Victorian Engine Rooms! ",
"type":1,
"subtype":6,
"location": "51.507792, -0.087786",
"images": [
"https://i.ytimg.com/vi/nby0Mr2LfBQ/hqdefault.jpg",
"http://raindropsofsapphire.com/wp-content/uploads/2011/10/london-bridge.jpg",
"http://www.londonforfree.net/gizmo/wp-content/uploads/2015/02/southwark-bridge.jpg"
]
},
{
"num": 5,
"time": "2016-04-27T12:18:10.000Z",
"title":"St. Paul Cathedral",
"desc":"# HISTORY \nSt **Paul's Cathedral**, London, is an _Anglican cathedral_, the seat of the _Bishop of London_ and the mother church of the Diocese of London. \n * It sits on Ludgate Hill at the highest point of the City of London and is a Grade 1 listed building. \n * Its dedication to Paul the Apostle dates back to the original church on this site, founded in AD 604.",
"type":1,
"subtype":6,
"location": "51.513825, -0.098351",
"images": [
"https://d1wgio6yfhqlw1.cloudfront.net/sysimages/product/resized6/Interior_St_Pauls_Cathedral_132_12992.jpg",
"https://d1kioxk2jrdjp.cloudfront.net/resized/486x324/48-st_pauls_ctahedral_millenirm_bridge.jpg",
"http://i4.mirror.co.uk/incoming/article8299330.ece/ALTERNATES/s615b/LOND-2016-052-HMQ-St-Pauls-Thanks-Giving-704JPG.jpg"
]
}
]
The problem comes when i'm trying to parse the "images" element with the next code :
for (int i = 0; i < stops.length(); i++) {
JSONObject c = stops.getJSONObject(i);
.....
if(c.has(“images”) && !c.isNull(“images”)){
JSONArray imagenes = jsonObj.getJSONArray(“images”);
for (int j = 0; j < imagenes.length(); j++) {
String valueString= imagenes.getString(i);
Log.d(“myTag”, “Viatge Parser con valuestring” + valueString);
URL url2 = new URL(valueString);
HttpURLConnection connection = (HttpURLConnection) url2.openConnection();
connection.setDoInput(true);
connection.connect();
InputStream input = connection.getInputStream();
Bitmap miBitmap = BitmapFactory.decodeStream(input);
s.addImage(miBitmap);
}
}
I’m already comproving if “images” exist with but i keep getting this error:
03-22 00:23:51.391 23180-23797/com.example.usuari.myapplication3 I/System.out: (HTTPLog)-Static: isSBSettingEnabled false
03-22 00:23:51.391 23180-23797/com.example.usuari.myapplication3 I/System.out: (HTTPLog)-Static: isSBSettingEnabled false
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: org.json.JSONException: No value for images
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: at org.json.JSONObject.get(JSONObject.java:389)
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: at org.json.JSONObject.getJSONArray(JSONObject.java:584)
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: at com.example.usuari.myapplication3.ViatgeParser.parseFromJSON(ViatgeParser.java:97)
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: at com.example.usuari.myapplication3.DownloadAsyncTask.doInBackground(DownloadAsyncTask.java:38)
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: at com.example.usuari.myapplication3.DownloadAsyncTask.doInBackground(DownloadAsyncTask.java:17)
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: at android.os.AsyncTask$2.call(AsyncTask.java:295)
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: at java.util.concurrent.FutureTask.run(FutureTask.java:237)
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1113)
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:588)
03-22 00:23:51.801 23180-23797/com.example.usuari.myapplication3 W/System.err: at java.lang.Thread.run(Thread.java:818)
I don’t understand how can i be getting this error if i already make the proper check in the if statement!
#android
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Buddha Community
1593251880
JSON Parsing in Android - Step by Step Implementation
JSON Structures in Android
JSON uses two types of brackets that are as follows:
- [] – To declare the elements of Array in JSON, they’re written in square brackets.
- {} – To create JSON objects, the elements are written in curly brackets.
JSON has the following types of structures that are:
1. JSON Objects
The elements inside the curly brackets are known as Objects.
2. JSON Array
A list of values, known as Arrays.
3. JSON Key-Value
This data is stored as a pair of keys and values. Here the keys can be a name, a number for which the values can be Seema, 98767586 etc.
Why JSON Parsing in Android over XML?
Let us see some reasons for why to choose JSON over XML:
- It is much easier and quicker with high performance
- It can use arrays
- Its libraries do not depend on other libraries
- The codes written in JSON are short, clean and easy to understand
- It is free to open use and open-source tool
- In JSON value retrieval is easy
- It has a fully automated way of serializing/deserializing JavaScript.
- It is supported by many Ajax toolkits and most of the backend technologies.
Examples of XML and JSON
Let us see the code difference of JSON and XML files:
XML Example:
<?xml version= “1.0” encoding= “” ?>
<student>
<student>
<name> Sia Sharma</name>
<city> Chandigarh</city>
</student>
<student>
<name>Dimple D’souza</name>
<city> Nagpur</city>
</student>
<student>
<name>Anna Jones</name>
<city> Mumbai</city>
</student>
</student>
JSON Example:
{ “students”: [
{ “name”: “Sia Sharma”, “city”: “Chandigarh”},
{ “name”: “Prachi D’Souza”, “city”: “Nagpur”},
{ “name”: “Annas Jones”, “city”: “Mumbai”}
]}
I hope the difference is all clear in front of you. This is how simple JSON is and how easily it could be understood.
#android tutorials #json parsing in android #json parsing in android example #json parsing in android step by step #json parsing with android #read json file android
1625637060
What is JSON? | JSON Objects and JSON Arrays | Working with JSONs Tutorial
In this video, we work with JSONs, which are a common data format for most web services (i.e. APIs). Thank you for watching and happy coding!
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https://chrome.google.com/webstore/detail/json-formatter/bcjindcccaagfpapjjmafapmmgkkhgoa?hl=en
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http://maps.googleapis.com/maps/api/geocode/json?address=13+East+60th+Street+New+York,+NY
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#jsons #json arrays #json objects #what is json #jsons tutorial #blondiebytes
1596800220
Complex JSON parsing with Ansible and JMESPath
JSON has become the lingua franca of the computer world for sharing information between applications. Just about anyone who writes code to interact with Web APIs or retrieve the results of an application will need to know how to parse JSON. Luckily, due to JSON’s popularity, it has wide support and there are many packages, like JMESPath, available to help parse complex JSON structures.
Frequently when I am deploying or updating infrastructure using Ansible I have to parse JSON results from a cloud provider or the output of a command like kubectl when interacting with Kubernetes. The output from these sources often contains a lot of information, parsing all of that information just to get what needed and transforming it into a usable format is often difficult.
In the following example output from kubectl get node node-name -o json , there isn’t an easy way to get the status for the type Ready using Ansible’s native JSON parsing without looping through the list.
{
"conditions": [
{
"status": "False",
"type": "NetworkUnavailable"
},
{
"status": "False",
"type": "MemoryPressure"
},
{
"status": "False",
"type": "DiskPressure"
},
{
"status": "False",
"type": "PIDPressure"
},
{
"status": "True",
"type": "Ready"
}
]
}
However, Ansible has solved this problem by exposing the JMESPath JSON parsing library using the json_query filter.
In this example I will demonstrate how to use Ansible and JMESPath to parse complex JSON output and transform the results into a more usable format by using a key filter and zipping two JSON lists.
For this example, I am using OpenStack Heat to create an 8 node (3 MON nodes and 5 OSD nodes) Ceph cluster that will have Ceph installed using ceph-ansible. Since I am in the development and testing phase of this project, I am frequently creating and destroying the clusters. OpenStack Heat and Ansible do a good job on automating most of the creation and destroying steps, however there was still a manual step where I had to copy the hostnames and ip addresses for the nodes created by OpenStack Heat into Ansible’s inventory file. In order to fully automate the process, I had to capture the output from OpenStack Heat in Ansible so I could automatically generate the inventory file using an Ansible template.
To make the inventory file it mean converting this JSON:
{
"stack_create.stack.outputs": [
{
"description": "Ceph osd management addresses",
"output_key": "ceph_osd_management_addresses",
"output_value": [
"192.168.0.95",
"192.168.0.101",
"192.168.0.155",
"192.168.0.161",
"192.168.0.23"
]
},
{
"description": "Ceph osd server names",
"output_key": "ceph_osd_server_names",
"output_value": [
"ceph-osd-0",
"ceph-osd-1",
"ceph-osd-2",
"ceph-osd-3",
"ceph-osd-4"
]
},
{
"description": "Ceph mon management addresses",
"output_key": "ceph_mon_management_addresses",
"output_value": [
"192.168.0.117",
"192.168.0.240",
"192.168.0.44"
]
},
{
"description": "Ceph mon server names",
"output_key": "ceph_mon_server_names",
"output_value": [
"ceph-mon-0",
"ceph-mon-1",
"ceph-mon-2"
]
}
]
}
Into the following inventory file:
[mons]
ceph-mon-0 ansible_host=192.168.0.117
ceph-mon-1 ansible_host=192.168.0.240
ceph-mon-2 ansible_host=192.168.0.44
[osds]
ceph-osd-0 ansible_host=192.168.0.95
ceph-osd-1 ansible_host=192.168.0.101
ceph-osd-2 ansible_host=192.168.0.155
ceph-osd-3 ansible_host=192.168.0.161
ceph-osd-4 ansible_host=192.168.0.23
In general, Ansible has good native parsing of JSON, however Ansible’s native JSON parsing cannot handle the case, like above, when you need to filter a list of JSON objects based on the value of a key that is in one of the JSON objects. For example, in the above JSON output, I want the list of ip address in the key output_value where output_key = ceph_mon_management_addresses. The best that can be done with Ansible’s native JSON parsing is stack_create.stack.outputs[2].output_value , but that would require the ceph_mon_management_addresses to always be the 3rd item in the list, which cannot be guaranteed.
Here is where Ansible’s json_query filter comes in. With JMESPath we can search a list of objects for a key value pair but return the value of another key in the same object. In practical terms for this example, we can search the list of objects for the object where output_key = ceph_mon_management_addresses and return the value of output_value. Here is the Ansible set_fact task using a JMESPath query to get the result:
- name: Create a list of mon ip addresses
set_fact:
mon_ips: "{{ stack_create | json_query(\"stack.outputs[?output_key == ‘ceph_mon_management_addresses’].output_value\") }}"
In this example, the search for the object that contains output_key == ‘ceph_mon_management_addresses’ is done using the JMESPath filter projection (?) with the statement from above. Then we append .output_value to return the value of the output_value key. The results will look like:
[
[
"192.168.0.117",
"192.168.0.240",
"192.168.0.44"
]
]
Since JMESPath is preserving the original format of the JSON, there are two nested lists, the list of objects and the list of ip addresses. We only want a list of ip addresses, therefore we can apply the JMESPath flatten projection to get the output we want. Simply add [] to the end of the statement like so:
- name: Create a list of mon ip addresses
set_fact:
mon_ips: "{{ stack_create | json_query(\"stack.outputs[?output_key == ‘ceph_mon_management_addresses’].output_value[]\") }}"
#parse #json #ansible #jmespath #parsing
1596823200
# Google's Flutter Tutorial- Easily Parse Complex JSON, Create JSON Model Classes.
Welcome to Flutter tutorial
This demo helps you to easily parse any complex JSON data in to Dart Model classe easily.
Proper Error Handling in Flutter
https://www.youtube.com/watch?v=yA_BI…
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Please leave your valuable comments in the comment section below.
Thanks for watching.
#json #create-json #json-data #flutter
1598011200
SwiftUI 2.0 JSON Parsing - Completion Handlers - Xcode 12 - SwiftUI 2.0 Tutorials
In this Video i’m going to show how to Parse JSON With The Help Of Completion Handlers Using SwiftUI | SwiftUI JSON Parsing | SwiftUI Completion Handlers | SwiftUI ListView Navigation View | Xcode 12 | SwiftUI 2.0 URLSession Data Task.
#json #coding #swiftui 2.0 #json parsing