lambda function to get stocks from AlphaVantage and push the data to DataDog

stock_lambda_function.py

import os
from datadog import datadog_lambda_wrapper, lambda_metric
from botocore.vendored import requests

def get_stock_quote(symbol):
    API_KEY = os.environs['API_KEY'] 
    response = requests.get(f'https://www.alphavantage.co/query?apikey={API_KEY}&function=GLOBAL_QUOTE&symbol={symbol}')
    return response.json()['Global Quote']

def track_metric(symbol, title, value):
    lambda_metric(f'{symbol}.stock.{title}', value)

def send_metrics(symbol, quote):
    track_metric(symbol, 'open', quote['02. open'])
    track_metric(symbol, 'high', quote['03. high'])
    track_metric(symbol, 'low', quote['04. low'])
    track_metric(symbol, 'price', quote['05. price'])
    track_metric(symbol, 'volume', quote['06. volume'])
    track_metric(symbol, 'previous_close', quote['08. previous close'])
    track_metric(symbol, 'change', quote['09. change'])
    track_metric(symbol, 'change_percent', quote['10. change percent'][:-1])

@datadog_lambda_wrapper
def lambda_handler(event, context):
    for symbol in event['symbols']:
        quote = get_stock_quote(symbol)
        send_metrics(symbol, quote)