Read pdf object from S3 - pdf

Question

I am trying to create a lambda function that will access a pdf form uploaded to s3 and strip out the data entered into the form and send it elsewhere.
I am able to do this when I can download the file locally. So the below script works and allows me to read the data from the pdf into my pandas dataframe.:
import PyPDF2 as pypdf
import pandas as pd
s3 = boto3.resource('s3')
s3.meta.client.download_file(bucket_name, asset_key, './target.pdf')
pdfobject = open("./target.pdf", 'rb')
pdf = pypdf.PdfFileReader(pdfobject)
data = pdf.getFormTextFields()
pdf_df = pd.DataFrame(data, columns=get_cols(data), index=[0])
But with lambda I cannot save the file locally because I get a "read only filesystem" error.
I have tried using the s3.get_object() method like below:
s3_response_object= s3.get_object(
Bucket='pdf-forms-bucket',
Key='target.pdf',
)
pdf_bytes = s3_response_object['Body'].read()
But I have no idea how to convert the resulting bytes into an object that can be parsed with PyDF2. The output that I need and that PyDF2 will produce is like below:
{'form1[0].#subform[0].nameandmail[0]': 'Burt Lancaster',
'form1[0].#subform[0].mailaddress[0]': '675 Creighton Ave, Washington DC',
'form1[0].#subform[0].Principal[0]': 'David St. Hubbins',
'Principal[1]': None,
'form1[0].#subform[0].Principal[2]': 'Bart Simpson',
'Principal[3]': None}
So in summary, I need o be able to read a pdf with fillable forms, into memory and parse it without downloading the file because my lambda function environment won't allow local temp files.

Answer 1

Solved:
This does the trick:
import boto3
from PyPDF2 import PdfFileReader
from io import BytesIO
bucket_name ="pdf-forms-bucket"
item_name = "form.pdf"
s3 = boto3.resource('s3')
obj = s3.Object(bucket_name, item_name)
fs = obj.get()['Body'].read()
pdf = PdfFileReader(BytesIO(fs))
data = pdf.getFormTextFields()