rishsriv

Creating Custom City-Level Maps for FactIQ

Task

Add a Bangalore traffic map visualization to FactIQ. Requirements:

• Static-viz friendly (works as exported images)
• GeoJSON base map with visual overlay features (lakes, parks, roads)
• Coordinate-based bubble overlays: backend sends lat/lon, bubbles are plotted on the GeoJSON
• Green-to-red color gradient for traffic congestion severity

rishsriv

import requests
import json

# Your Atlan API Key
api_key = "YOUR_API_KEY"
atlan_domain = "YOUR_ATLAN_DOMAIN" # e.g. "https://YOUR_DOMAIN.atlan.com"
table_metadata = {}

# LIST OF TABLES FOR WHICH YOU WANT TO FETCH METADATA
for table_name in ["YOUR_TABLE_NAME_1", "YOUR_TABLE_NAME_2"]:

rishsriv

<template>
  <Defog
    maxWidth="100%"
    maxHeight="100%"
    apiEndpoint="https://test-defog-ikcpfh5tva-uc.a.run.app"
    buttonText="Ask Defog"
    personality="sarcastic and aloof"
    debugMode={true}
    apiKey="test"
  />

rishsriv

<!-- This is highly experimental code that may not work properly -->
<?php
require 'vendor/autoload.php';
use GuzzleHttp\Client;

$api_key = "YOUR_API_KEY";
$db_type = "mysql";
$db_creds = array(
    "host" => "YOUR_HOST",
    "dbname" => "YOUR_DB_NAME",

rishsriv

# before running this install flask and defog using pip
# pip install Flask
# pip install defog

from flask import Flask, request, jsonify
from defog import Defog

app = Flask(__name__)

defog = Defog(

rishsriv

from bs4 import BeautifulSoup as Soup
import pandas as pd
import json
from datetime import datetime, timedelta

with open("/path/to/log_html", "r") as f:
    contents = f.read()

dom = Soup(contents)
data = dom.find_all("script")[-1]

rishsriv

import sys, os 
import subprocess
from nltk.corpus import wordnet

#accept user input
def get_user_input():
	print(sys.argv[1])

#return dependency tree
def create_dependency_tree():