StefanBorkovski / yt_dl_project

YouTube downloader project

yt_dl_project

SET UP BOTO3

• Set up AWS credentials in AWSCredentials class in aws_helpers.py script.
• Create and place the key file in the ./aws directory (where Boto3 checks, check documentation).

CONFIGURE INPUT FILE

• Upload input.json from ./data to the S3 bucket named 'ytdlinput'.

FOR RUNNING LOCALLY

• Install requirements from requirements.txt
• Create and add ffmpeg in the ./dep directory (./dep/ffmpeg/bin/ffmpeg.exe).
• Upload input.json from ./data to the S3 bucket named 'ytdlinput'.
• Set RUN_LOCALLY=True and USE_RAY to True or False if you want to run it using Ray or sequentially.

FOR RUNNING ON AWS CLUSTER

• For Windows, in WSL CLI run:
  • Create the cluster:

    ray up -y /mnt/c/Users/Stefan/Desktop/Personal/Projects/Soniox/yt_dl_project/ray/yt_dl_cluster.yaml
    

  • Forward ports locally:

    ray dashboard /mnt/c/Users/Stefan/Desktop/Personal/Projects/Soniox/yt_dl_project/ray/yt_dl_cluster.yaml
    

  • Submit task:

    RAY_ADDRESS='http://localhost:8265' ray job submit --runtime-env-json='{"working_dir": "./", "pip": ["boto3", "boto3-stubs[dynamodb]", "scrapetube", "youtube-transcript-api", "youtube-wpm"]}' -- python ./pipeline.py