How to use QStandardItemModel in PyQt5 to show data from a JSON file into a ListView? - python-3.x

I have a JSON file, I am able to fetch the data. Now, I want to display data into ListView using QStandardItemModel, but I am unable to understand how to implement. Can someone please suggest a basic implementation of how to display data so I have an idea?
Following is JSON file :
[
{
"due": "2019-12-09",
"project": {
"id": 1,
"name": "Volcano"
},
"Assignment_name": [
{
"id": 35,
"name": "Alex"
}
],
"subject": null,
},
{
"due": "2019-10-19",
"project": {
"id": 2,
"name": "Volcanic"
},
"Assignment_name": [
{
"id": 36,
"name": "Alexa"
}
],
"subject": null,
}
]

Related

is it possible to show specific values from a list in Spinner?

Is it Possible to show specific data in spinner from a List. Here I stuck with the concept. can anyone elaborate me if I can do it or not.
{
"status": "OK",
"message": "Sucess",
"result": [
{
"id": 2,
"name": "DHAKA",
"countryId": "001"
},
{
"id": 4,
"name": "RAJSHAHI",
"countryId": "001"
},
{
"id": 11,
"name": "RANGPUR",
"countryId": "001"
},
{
"id": 6,
"name": "SYLHET",
"countryId": "001"
}
]
}
Here Is my data. I Don't want to show whole list. I just need to know that how will be my approach.

How can I get DAG of Spark Sql Query execution plan?

I am doing some analysis on spark sql query execution plans. the execution plans that explain() api prints are not much readable. If we see spark web UI, a DAG graph is created which is divided into jobs, stages and tasks and much more readable. Is there any way to create that graph from execution plans or any apis in the code? if not, are there any apis that can read that grap from UI?
As close I can see, this project (https://github.com/AbsaOSS/spline-spark-agent) is able to interpret the execution plan and generate it in a readable way.
This spark job is reading a file, convert it to a CSV file, write to local.
A sample output in JSON look like
{
"id": "3861a1a7-ca31-4fab-b0f5-6dbcb53387ca",
"operations": {
"write": {
"outputSource": "file:/output.csv",
"append": false,
"id": 0,
"childIds": [
1
],
"params": {
"path": "output.csv"
},
"extra": {
"name": "InsertIntoHadoopFsRelationCommand",
"destinationType": "csv"
}
},
"reads": [
{
"inputSources": [
"file:/Users/liajiang/Downloads/spark-onboarding-demo-application/src/main/resources/wikidata.csv"
],
"id": 2,
"schema": [
"6742cfd4-d8b6-4827-89f2-4b2f7e060c57",
"62c022d9-c506-4e6e-984a-ee0c48f9df11",
"26f1d7b5-74a4-459c-87f3-46a3df781400",
"6e4063cf-4fd0-465d-a0ee-0e5c53bd52b0",
"2e019926-3adf-4ece-8ea7-0e01befd296b"
],
"params": {
"inferschema": "true",
"header": "true"
},
"extra": {
"name": "LogicalRelation",
"sourceType": "csv"
}
}
],
"other": [
{
"id": 1,
"childIds": [
2
],
"params": {
"name": "`source`"
},
"extra": {
"name": "SubqueryAlias"
}
}
]
},
"systemInfo": {
"name": "spark",
"version": "2.4.2"
},
"agentInfo": {
"name": "spline",
"version": "0.5.5"
},
"extraInfo": {
"appName": "spark-spline-demo-application",
"dataTypes": [
{
"_typeHint": "dt.Simple",
"id": "f0dede5e-8fe1-4c22-ab24-98f7f44a9a5a",
"name": "timestamp",
"nullable": true
},
{
"_typeHint": "dt.Simple",
"id": "dbe1d206-3d87-442c-837d-dfa47c88b9c1",
"name": "string",
"nullable": true
},
{
"_typeHint": "dt.Simple",
"id": "0d786d1e-030b-4997-b005-b4603aa247d7",
"name": "integer",
"nullable": true
}
],
"attributes": [
{
"id": "6742cfd4-d8b6-4827-89f2-4b2f7e060c57",
"name": "date",
"dataTypeId": "f0dede5e-8fe1-4c22-ab24-98f7f44a9a5a"
},
{
"id": "62c022d9-c506-4e6e-984a-ee0c48f9df11",
"name": "domain_code",
"dataTypeId": "dbe1d206-3d87-442c-837d-dfa47c88b9c1"
},
{
"id": "26f1d7b5-74a4-459c-87f3-46a3df781400",
"name": "page_title",
"dataTypeId": "dbe1d206-3d87-442c-837d-dfa47c88b9c1"
},
{
"id": "6e4063cf-4fd0-465d-a0ee-0e5c53bd52b0",
"name": "count_views",
"dataTypeId": "0d786d1e-030b-4997-b005-b4603aa247d7"
},
{
"id": "2e019926-3adf-4ece-8ea7-0e01befd296b",
"name": "total_response_size",
"dataTypeId": "0d786d1e-030b-4997-b005-b4603aa247d7"
}
]
}
}

Commercetools - Use query predicates to filter on a collection attribute

I'd like to get all the Category items that have between their ancestors an ancestor with a certain "id".
Here is the JSON of one of the categories returned by GETting from /categories:
{
"id": "4627f3b0-fe52-4cc6-b03e-3fd72e701342",
"version": 1,
"lastMessageSequenceNumber": 1,
"createdAt": "2019-02-18T13:48:51.677Z",
"lastModifiedAt": "2019-02-18T13:48:51.677Z",
"lastModifiedBy": {
"clientId": "_anonymous"
},
"createdBy": {
"clientId": "_anonymous"
},
"key": "snowboard-gloves",
"name": {
"en": "Snowboard Gloves"
},
"slug": {
"en": "snowboard-gloves"
},
"description": {
"en": "Gloves specifically designed for snowboarding"
},
"ancestors": [
{
"typeId": "category",
"id": "b27086d2-33f2-43c3-aad1-4c01b2b9a886"
}
],
"parent": {
"typeId": "category",
"id": "b27086d2-33f2-43c3-aad1-4c01b2b9a886"
},
"orderHint": "0.000016",
"metaTitle": {
"en": "Snowboard Gloves"
},
"metaDescription": {
"en": "Gloves specifically designed for snowboarding"
},
"assets": []
}
I'd like to call the /categories API with a where clause on ancestors[x].id = "b27086d2-33f2-43c3-aad1-4c01b2b9a886" but from the documentation I don't understand how I should write the query predicate.
Can anyone help me?
The query predicate follows the structure of the json response. Nested fields are accessed with () brackets.
Try this out
ancestors(id = "idb27086d2-33f2-43c3-aad1-4c01b2b9a886")

how to exclude value when certain property not exist in loopback

I'm getting below response from loopback when I filter with below api:
http://localhost:8001/myloopback/productDetails?q=product.productId==apple
I want to exclude the data which doesn't have property "productModel" - how can we achieve this in Loopback rest API. Is there any option to exclude property from the rest API query param? I'm new to Loopback - it would be really grateful if someone can help me to fix this
{
"myData": [{
"data": {
"product": {
"productId": "apple",
"productName": "iPhone",
"productModel": "6s"
},
"statusCode": "active",
"date": "2018-08-07T00:00:00.000Z"
},
"links": [{
"productUrl": "test"
},
{
"productImage": "test"
}
],
"info": {}
},
{
"data": {
"product": {
"productId": "apple",
"productName": "iPhone",
"productModel": "7"
},
"statusCode": "active",
"date": "2018-08-07T00:00:00.000Z"
},
"links": [{
"productUrl": "test"
},
{
"productImage": "test"
}
],
"info": {}
},
{
"data": {
"product": {
"productId": "apple",
"productName": "Macbook"
},
"statusCode": "active",
"date": "2018-08-07T00:00:00.000Z"
},
"links": [{
"productUrl": "test"
},
{
"productImage": "test"
}
],
"info": {}
}
],
"metadata": {
"count": 3,
"offset": 0
}
}
There is no such inbuilt function to do that but you can use multiple Fields filter to achieve that.

generating request/response json from swagger

Given a swagger json, I would want to generate its request/response.
For example taking the case of petstore http://petstore.swagger.io/#,I should be able to generate this for POST /pet in node.js
{
"id": 0,
"category": {
"id": 0,
"name": "string"
},
"name": "doggie",
"photoUrls": [
"string"
],
"tags": [
{
"id": 0,
"name": "string"
}
],
"status": "available"
}

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