I have the following table defined in Postgres (version 12.12): Table "public.test" Column | Type | Collation | Nullable | Default -----------+-------+-----------+----------+--------- uuid | uuid | | | name | text | | | json_data | jsonb | | |…
I creates an API in which I am accepting this as JSON: { "productlist": [ {"student_id": 216, "product_id": 4, "product_qty": 2}, {"student_id": 216, "product_id": 6, "product_qty": 2} ] } I process this on server side like this: $data = $request->json()->all();…
I'm using PHP, and I have the following array and have been trying to figure out how I can flatten it in the following manner. This is an array that is created from a JSON by using json_decode, and the…
This is my index.js file in cart folder for cart page import React from "react"; import { Link } from "react-router-dom"; import CartProducts from "./CartProducts"; import Layout from "../../components/Layout"; import { useCart } from "../../hooks/useCart"; import { formatNumber } from…
I have the following json object: { "id":1, "activities":[ {"time":1659800397,"cities":["london","paris"],"type":1}, {"time":1659800411,"cities":["rome"], "type":2} ] } I would like to flatten it to the following tab separated structure, perhaps using jq id time cities type 1 1659800397 london 1 1 1659800397 paris…
Assume a dictionary with an arbitrary structure, where some values are native Python objects and others are instances of PyDantic's BaseModel subclasses e.g. my_dict = {"key1": "value1", "key2": {"key3": pydantic_object1, "key4": 4}, "key5": pydantic_object2} I want to dump this dictionary…
i'm having trouble trying to read a json just like below: { "cats":{ "1":{ "name":"meow", "favorite_food":"milk" }, "2":{ "name":"honey", "favorite_food":"fish" }, "3":{ "name":"cutie", "favorite_food":"milk" }, "4":{ "name":"puss", "favorite_food":"chicken" }, "n"...... } } I want to output a table_cats like this:…
I have a json file just like below, and I need to read it and generate a table with the attributes of the person. { "person":[ [ "name", "Guy" ], [ "age", "25" ], [ "height", "2.00" ] ] }…
I'm having problems getting the nested car values using javascript (lodash). Here is the JSON. { "cars":[ { "nestedCars":[ { "car":"Truck", "color":"Red", "type":"Honda" } ] }, { "nestedCars":[ { "car":"Sedan", "color":"Blue", "type":"Ford" } ] }, ] } The JSON response…
Here is my code: with open(r'unique_columns.json', 'r') as f: config = json.load(f) unique_col_comb = config['Unique_Column_Combination']['TABLE_NAME'] df = pd.read_csv(f's3://path/to/file.csv', sep='|') df_unique = df.set_index([unique_col_comb]).index.is_unique print(df_unique) My JSON looks like this: { "Unique_Column_Combination": { "TABLE_NAME": "COL1, COL2, COL3" } } I get the…