I have a FPDF object like this:
import fpdf
pdf = FPDF()
#Cover page
pdf.add_page()
pdf.set_font('Arial', 'B', 16)
pdf.cell(175, 10, 'TEST - report',0,1,'C')
I'm trying to use a .png file from AWS S3 bucket directly to generate a PDF, like so:
pdf.image(bucket_folder_name + '/' + file_name + '.png')
Unfortunately, I get the error:
[Errno 2] No such file or directory
What is the issue?
To use files from an S3 bucket, you need to download them first - an S3 bucket is not like a local folder for you to be able to provide a path and use the file.
Download the file first using download_file and then pass the filename to pdf.image(...).
The download_file method has the following parameters:
s3.download_file('BUCKET_NAME', 'OBJECT_NAME', 'FILE_NAME')
Something like this:
import boto3
s3 = boto3.client('s3')
...
filename_with_extension = file_name + '.png';
outputPath = '/tmp/' + filename_with_extension;
s3.download_file(bucket_folder_name, filename_with_extension, outputPath)
pdf.image(outputPath)
Important note: you must write to the /tmp directory as that is the only available file system that AWS permits you to write to (and read from).
Any other path will result in a [Errno 13] Permission denied error to indicate this.
Per docs:
You can configure each Lambda function with its own ephemeral storage between 512MB and 10,240MB, in 1MB increments. The ephemeral storage is available in each function’s /tmp directory.