cloud function to get Yosemite images

fetch.image.yosemite.py

# This was written for Digital Ocean cloud functions
# It fetches the live photo of Half Dome every minute and stores in DO Spaces

import os
from datetime import datetime, timezone
import boto3
import requests

# fetch env settings
WEBCAM_URL = os.environ.get('WEBCAM_URL', 'https://cdn.pixelcaster.com/public.pixelcaster.com/snapshots/yosemite-sentinel/latest.jpg')
DO_SPACES_NAME = os.environ.get('DO_SPACES_NAME', 'your-webcam-images')
DO_SPACES_REGION = os.environ.get('DO_SPACES_REGION', 'nyc3')
DO_SPACES_KEY = os.environ.get('DO_SPACES_KEY')
DO_SPACES_SECRET = os.environ.get('DO_SPACES_SECRET')

def main(args):
  # Create timestamp
  now_utc = datetime.now(timezone.utc).isoformat(timespec='seconds').replace("+00:00", "Z")

  # Verify envs
  envs = [ f"{key}={value[:10]}" for key, value in os.environ.items() if key.startswith("DO_")]
  envs = "\n".join(envs)

  # create boto connection
  session = boto3.session.Session()
  s3_client = session.client(
    's3',
    region_name=DO_SPACES_REGION,
    endpoint_url=f'https://{DO_SPACES_REGION}.digitaloceanspaces.com',
    aws_access_key_id=DO_SPACES_KEY,
    aws_secret_access_key=DO_SPACES_SECRET
  )

  # fetch image
  response = requests.get(WEBCAM_URL, stream=True)

  # create object name
  file_extension = "jpg"
  spaces_object_name = f"webcam_images/{now_utc}.{file_extension}"

  # save image to spaces
  s3_client.upload_fileobj(
    response.raw,
    DO_SPACES_NAME,
    spaces_object_name,
    ExtraArgs={
      'ContentType': response.headers['Content-Type'],
      'ACL': 'public-read',
    }

  )

  # generate output
  greeting = f'''
    Now: {now_utc}
    Region: {DO_SPACES_REGION}
    output_name: {spaces_object_name}
    {envs}

  '''
  print(greeting)
  return {"body": greeting}