I want to use python in synapse notebook to read files in different formats. These include .pdf, .pptx, .docx, .msg, and .eml. I want to be able to read files and then parse and manipulate them with python. I was able to do this in data blocks using different python libraries.
This is how I accomplish this task in data bricks:
from pptx import Presentation prs = Presentation(file_name) # for pdf from pypdf import PdfReader reader = PdfReader(open(filename, 'rb')) # word docs import docx doc = docx.Document(file_name) # .eml files import email msg = email.message_from_file(open(file_name))type here # .msg files import extract_msg msg = extract_msg.Message(file_name)
In synapse I get the error: FileNotFoundError: [errno 2] No such file or directory.
These file paths can read csv, excel or txt data using spark or pandas, so I don't think there is an authorization or connection issue. The format is: abfs[s]://file_system_name@account_name.dfs.core.windows.net/file_path
I also tried mounting the storage location. This does help reading text files, but not other formats. Mounting the storage location in synapse
Install is the correct way, This answer explains it. I'm using synapse studio. The key is to use the file format obtained from the path command to the mounted storage. Otherwise I can basically use what I mentioned previously in the question. Only for pdf I had to change from using pypdf library to pypdf2.
The valid format is:
path = mssparkutils.fs.getmountpath("/mounted_name") # this gave me this format '/synfs/{jobid}/mounted_path/{filename}'
Format obtained from mssparkutils fs does not work
mssparkutils.fs.ls("synfs:/{jobId}/mounted_path/") # this gave a different format which did not work 'synfs:/{jobId}/mounted_path/{filename}'
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