Data Object Layer for PDF data
Project description
pdfdol
Data Object Layer for PDF data
To install: pip install pdfdol
Examples
Pdf "Stores"
Get a dict-like object to list and read the pdfs of a folder, as text:
>>> from pdfdol import PdfFilesReader
>>> from pdfdol.tests import get_test_pdf_folder
>>> folder_path = get_test_pdf_folder()
>>> pdfs = PdfFilesReader(folder_path)
>>> sorted(pdfs)
['sample_pdf_1', 'sample_pdf_2']
>>> assert pdfs['sample_pdf_2'] == [
... 'Page 1\nThis is a sample text for testing Python PDF tools.'
... ]
See that the values of a PdfFilesReader are lists of pages.
If you need strings (i.e. all the pages together) you can add a decoder like so:
from dol import add_decoder
page_separator = '---------------------'
pdfs = add_decoder(pdfs, decoder=page_separator.join)
If you need this at the level of the class, just do this:
from dol import add_decoder
page_separator = '---------------------'
FilesReader = add_decoder(PdfFilesReader, decoder=page_separator.join)
# and then
pdfs = FilesReader(folder_path)
# ...
If you need to concatinate a bunch of pdfs together, you can do so in many ways. Here's one:
from dol import Files
from pdfdol import concat_pdfs
s = Files('~/Downloads/cosmograph_documentation_pdfs/')
concat_pdfs(s, key_order=sorted)
Get pdf from various sources
Example with a URL
pdf_data = get_pdf("https://pypi.org", src_kind="url")
print("Got PDF data of length:", len(pdf_data))
Example with HTML content
html_content = "<html><body><h1>Hello, PDF!</h1></body></html>"
pdf_data = get_pdf(html_content, src_kind="html")
print("Got PDF data of length:", len(pdf_data))
Example saving to file
filepath = get_pdf("https://pypi.org", egress="output.pdf", src_kind="url")
print("PDF saved to:", filepath)
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