vittxr

// Parse the response JSON
var response = pm.response.json();

// Store the access token and token type in collection variables
pm.collectionVariables.set("auth_token", response.access_token);
pm.collectionVariables.set("auth_token_type", response.token_type);

vittxr

{
    "version": "1.0.0",
    "configurations": [
        {
            "name": "Python: Flask",
            "type": "debugpy",
            "request": "launch",
            "module": "flask",
            "env": {
                "FLASK_APP": "main.py",

vittxr

{
  "version": "1.0.0",
  "configurations": [
      {
          "name": "FASTAPI DEBUG",
          "type": "debugpy",
          "request": "launch",
          "module": "fastapi",
          "args": [
              "dev"

vittxr

from contextlib import contextmanager
import mysql.connector
from mysql.connector.cursor_cext import CMySQLCursorDict
from mysql.connector.abstracts import MySQLConnectionAbstract


class LoggingCursor(CMySQLCursorDict):
    def __init__(self, *args, **kwargs):
        print(*args)
        super(LoggingCursor, self).__init__(*args, **kwargs)

vittxr

export async function allObjectValuesAreTrue(obj) {
  return (
    Object.values(obj).filter((v) => {
      if (!(typeof v === 'boolean')) {
        return !allObjectValuesAreTrue(v);
      }
      return !v;
    }).length === 0
  );
}

vittxr

import os
import json
from typing import Any, Literal


def create_folder_structure_json(
    path: str, ignore: list[str] = [], ignore_files: bool = False
) -> dict[str, Any]:
    """
    Recursively creates a dict representation of the folder structure starting from the given path.

vittxr

from typing import Optional, Any
from pydantic import BaseModel, field_validator, Field
import string

# the order of the list matters
WHERE_OPERATORS = [">=", "<=", "!=", "=", ">", "<", "LIKE", "NOT LIKE"]

class RequestParams(BaseModel):
    """
    Represents the request parameters that client-side can use to filter/sort data.

vittxr

from typing import TypedDict, Any, NotRequired
import json


class RightTable(TypedDict):
    name: str
    label: NotRequired[str]


def extract_right_table_data(