使用 Python 从 Azure Blob 存储下载的将多个 PDF 合并为一个的最佳方法？

Question

我正在尝试从 Azure 下载多个 PDF 文件并将它们（使用 PyPDF2 库）全部合并为一个 PDF 以重新上传到 azure。

我目前在第 pdf = PyPDF2.PdfFileReader(output) 行收到 PyPDF2.utils.PdfReadError: Unsupported PNG filter 4 错误。

    consolidated_pdf = review_level_str.title() + '.pdf'
    merger = PyPDF2.PdfFileMerger()
    
    for each_file in filename_lst:
        blob_client = blob_service.get_blob_client(container=f'{flask_env}-downloads', blob=each_file)
        blob_object = blob_client.download_blob()

        bytes_file = blob_object.readall()
        output = io.BytesIO()
        output.write(bytes_file)
        pdf = PyPDF2.PdfFileReader(output)
        merger.append(pdf)

    blob_client_pdf = blob_service.get_blob_client(container=f'{flask_env}-downloads', blob=consolidated_pdf)
    blob_client_pdf.upload_blob(pdf.getvalue())

Answer 1

试试这个：

from azure.storage.blob import ContainerClient 
from PyPDF2 import PdfFileMerger
import shutil,os


pdf_list = ['test1.pdf','test2.pdf']
container = 'pdf'
storage_conn_str = ''

tempPath = 'd:/home/temp2/'
os.mkdir(tempPath)

mergedObject = PdfFileMerger()
ContainerClient = ContainerClient.from_connection_string(storage_conn_str,container)

for pdf in pdf_list:
    localPdfPath = tempPath + pdf
    with open(localPdfPath, "wb") as download_file:
        download_file.write(ContainerClient.download_blob(pdf).readall())
    mergedObject.append(localPdfPath)

mergedPDFPath = tempPath + 'merged.pdf'
mergedObject.write(mergedPDFPath)
mergedObject.close()

with open(mergedPDFPath, "rb") as stream:
    ContainerClient.upload_blob('merged.pdf',stream, overwrite=True)

#remove all temp files after upload.
shutil.rmtree(tempPath)

结果：

勾选 merged.pdf:

如果您还有其他问题，请告诉我。

使用 Python 从 Azure Blob 存储下载的将多个 PDF 合并为一个的最佳方法？

Best way to merge multiple PDF's into one, downloaded from Azure Blob Storage using Python?

azure

azure-blob-storage

pypdf2

bytesio