JS pupeteer issue

""" Example handler file. """

import runpod
from subprocess import call
import os

# If your handler runs inference on a model, load the model here.
# You will want models to be loaded into memory before starting serverless.


def handler(job):
    """ Handler function that will be used to process jobs. """
    job_input = job['input']

    prompt_id = job_input.get('aiPromptId')
    video_save_path = job_input.get('videoSavePath')
    
    # Create a copy of the current environment variables
    env = os.environ.copy()

    # Add or update the required environment variables
    env['AI_PROMPT_ID'] = prompt_id
    env['VIDEO_SAVE_PATH'] = video_save_path
    print("env", env)
    
    print("Running the executeDockerCommand")
    # env['NODE_ENV'] = 'development'

    call(["yarn", "ts-node", "src/backend/executeDockerCommand.ts"], env=env)

    print("Finish running the command")

    return f"Hello, {prompt_id}!"


runpod.serverless.start({"handler": handler})

""" Example handler file. """

import runpod
from subprocess import call
import os

# If your handler runs inference on a model, load the model here.
# You will want models to be loaded into memory before starting serverless.


def handler(job):
    """ Handler function that will be used to process jobs. """
    job_input = job['input']

    prompt_id = job_input.get('aiPromptId')
    video_save_path = job_input.get('videoSavePath')
    
    # Create a copy of the current environment variables
    env = os.environ.copy()

    # Add or update the required environment variables
    env['AI_PROMPT_ID'] = prompt_id
    env['VIDEO_SAVE_PATH'] = video_save_path
    print("env", env)
    
    print("Running the executeDockerCommand")
    # env['NODE_ENV'] = 'development'

    call(["yarn", "ts-node", "src/backend/executeDockerCommand.ts"], env=env)

    print("Finish running the command")

    return f"Hello, {prompt_id}!"


runpod.serverless.start({"handler": handler})