ishank-dev

import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from datetime import datetime
import pandas as pd

task_data = {
    "Task Name": [
        "Project Setup and Environment Configuration", "Design UI and Dashboard",
        "Develop Home Screen and Dashboard", "Implement Navigation Logic", 
        "Develop Program Management Module", "Develop Area Management Module", 

ishank-dev

"""
simulate_firebolt_pooling_varied.py

This script performs the following steps:
1. Runs a dummy query (SELECT 1) to warm up the Firebolt engine.
2. Runs two simulations (each for 10 seconds):
   - WITHOUT connection pooling: A new connection is created for every query.
   - WITH connection pooling: A pre-warmed pool of connections is used.
   
For each query, the script cycles through different severity filters (using numeric values)

ishank-dev

import io
import datetime
import statistics

from warcio.warcwriter import WARCWriter
from warcio.statusandheaders import StatusAndHeaders
from warcio.archiveiterator import ArchiveIterator
from bs4 import BeautifulSoup
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse

ishank-dev

WITH
/* Step 1  Leaf level – every City that appears in the hierarchy
       gets a row, if there is no matching entry in the sales
       table we treat its sales as 0.                             */
city_sales AS (
    SELECT  g.country ,
            g.state   ,
            g.city    ,
            COALESCE(s.sales,0) AS sales
    FROM    geo_hierarchy      AS g