text: #!python
  # Author: Chris Huskey
  
  """
  TeamReel DS AWS Lambda Trigger Function: When a TeamReel user uploads a new
  video to TeamReel -> video goes to S3 bucket -> S3 posts notification message
  to SQS queue -> SQS queue launches this AWS Lambda function -> this Lambda
  function calls our TeamReel DS API to trigger our main application.py
  function to analyze that video (and add/update the TeamReel DB with the analysis).
  """
  
  # Import modules/libraries we will use:
  
  # Import external/third-party libraries we will use:
  import json
  from dotenv import load_dotenv
  import os
  import requests
  
  # Get access info from .env file:
  load_dotenv()
  
  
  # -------------------------------------------------------------------------
  # SETUP:
  
  # TeamReel DS API Endpoints:
  api_url = os.getenv("TEAMREEL_DS_API_URL")
  endpoint_home = ""
  endpoint_analyze_new_video = "analyze_new_video"
  endpoint_get_user_performance = "get_user_performance"
  endpoint_get_prompt_top_responses = "get_prompt_top_responses"
  endpoint_get_video_analysis = "get_video_analysis"
  
  
  # -------------------------------------------------------------------------
  # FUNCTION:
  
  # def lambda_handler(event, context):
  #     # TODO implement
  #     return {
  #         'statusCode': 200,
  #         'body': json.dumps('Hello from Lambda!')
  #     }
  
  def ds_api_analyze_new_video(event, context):
      """
      Make a GET request to our TeamReel DS API's /analyze_new_video endpoint,
      to trigger our main DS analyze_new_video function and analyze the
      newly-posted video (from our queue).
      """
  
      # Request to /analyze_new_video endpoint:
      response = requests.get(url = api_url + endpoint_analyze_new_video)
  
      # Response:
      print(f"Response OK?: {response.ok}, with status code {response.status_code}")
      print(f"From URL: {response.url}")
  
      if response.text == 'No new videos uploaded since last check.':
          return response.text
      else:
          return response.json()
  