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Megale Bibliotheke

Your personal internet archive.

Installation

  1. In AWS, create Lambda function with the latest Python runtime and the following settings:

    • Execution role: any role that allows it to PutObject on your S3 bucket
    • Max timeout: 15 minutes, 0 seconds
    • Memory: 1024 MB (probably more than needed, feel free to tune it)
    • Handler: lambda_function.lambda_handler

  2. Set the environment variables for your Lambda function:

    • MEGALE_S3_BUCKET: where you want the YouTube videos to be saved
    • MEGALE_FILENAME_TEMPLATE: this formats the S3 key that will be saved for each video, for example: files/{uploader}/{upload_date}-{id} - {title}.{ext} These variables are currently supported:
      • uploader
      • upload_date
      • id
      • title
      • ext

  3. Clone this repo:

git clone https://github.com/sergiopantoja/megale-bibliotheke
cd megale-bibliotheke
  1. Download the latest youtube-dl and place it in the same folder as this repo:
curl -L https://yt-dl.org/downloads/latest/youtube-dl -o ./youtube-dl
chmod a+rx ./youtube-dl
  1. Zip the files up:
zip function.zip lambda_function.py youtube-dl
  1. Upload the function code via the Lambda UI in the AWS Console, or by using this command below (make sure your CLI user has the UpdateFunctionCode permission for Lambda):
aws lambda update-function-code --function-name your-function-name --zip-file fileb://function.zip

Usage

Instructions for using this with AWS API Gateway coming soon. In the meantime, you can invoke the function using this AWS CLI command (make sure your CLI user has the InvokeFunction permission for Lambda):

aws lambda invoke --function-name your-function-name --payload '{"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"}' outfile