vncsna

SRC_PATH = "../backend"
ENV_PATH = "../backend/.env.loc"

import redis
import random
import pickle
import pprint
import zlib

import os

vncsna

alias run='nohup "$@" > /dev/null 2>&1 &'

vncsna

alias pe='source $(ls ~/.cache/pypoetry/virtualenvs | fzf | xargs -I {} echo ~/.cache/pypoetry/virtualenvs/{}/bin/activate)'

vncsna

// Unselect all
document.getElementsByName("viewed").forEach(ch => {if(ch.checked) {ch.click()}})
// Select some with "key"
document.getElementsByName("viewed").forEach(ch => { if (!ch.checked && ch.id.includes("key")) { ch.click(); } });

vncsna

"""Creating thread safe and managed sessions using SQLAlchemy.

The sessions that are created are expected to be:
- thread safe
- handle committing
- handle rolling back on errors
- handle session removal/releasing once context or thread is closed.

Author: Nitish Reddy Koripalli
License: MIT

vncsna

import subprocess
import IPython
import psycopg2


def main(log_group):
    def process_log_entry(timestamp, log_group, log_entry):
        cursor.execute(
            "INSERT INTO cloudwatch_logs (timestamp, log_group, log_entry) VALUES (%s, %s, %s)",
            (timestamp, log_group, log_entry)

vncsna

import subprocess
import IPython
import duckdb

def main(log_group):
    def process_log_entry(timestamp, log_group, log_entry):
        conn.execute(
            "INSERT INTO cloudwatch_logs (timestamp, log_group, log_entry) VALUES (?, ?, ?)",
            [timestamp, log_group, log_entry],
        )

vncsna

#!/bin/bash

icon_name="$1"
icon_directory="/usr/share/icons"

find "$icon_directory" -name "*$icon_name*"

vncsna

-- Reference
-- https://stackoverflow.com/questions/46470030/postgresql-index-size-and-value-number

SELECT
  i.relname "Table Name"
  , indexrelname "Index Name"
  , pg_size_pretty(pg_total_relation_size(relid)) As "Total Size"
  , pg_size_pretty(pg_indexes_size(relid)) as "Total Size of all Indexes"
  , pg_size_pretty(pg_relation_size(relid)) as "Table Size"
  , pg_size_pretty(pg_relation_size(indexrelid)) "Index Size"

vncsna

# PROS: Easy to use in CRUDs
# CONS: Invalid autocompletion

from inspect import isclass

from pydantic import BaseModel, create_model
from pydantic_core import SchemaSerializer, SchemaValidator


def omit(*fields):