_call_ (event ) def process_IN_CREATE (self, event ) : ProcessEvent ) : def _init_ (self, callback ) :ĭef _call_ (self, event ) : if not suffix_filter (event ) : super (EventProcessor, self ). Let's create the pdf_watchdog.py file, where we will write our Python code.įirst of all, we need to define script encoding, import libraries and define some variables.Ĭlass EventProcessor (pyinotify. Patool is a library for creating, extracting, testing archives, including in the RAR format. pyinotify binds these system calls and provides an implementation on top of them offering a generic andĪbstract way to manipulate those functionalities.įollow the official documentation to install pyinotify. Inotify is an event-driven notifier, its notifications are exported from kernel space to user space through three Pyinotify relies on a Linux Kernel feature (merged in kernel 2.6.13) called inotify. Pyinotify is a Python module for monitoring filesystems changes. We need the following Linux file system events: To do this, Linux has several file-specific events. Here it is important to track the moment when the file is completely ready and formed for further actions.įor example, it may turn out that the file is not yet fully copied to the directory. signaling to any external system that the archive is successfully ready.įor example, if the external system is Oracle, and you want to write the RAR file into database field.After the successful creation of the rar archive, a text file will be created, which will be a kind of marker.You need to wait, the file will be completely written to the disk, and only then you can work with it (otherwise the broken file will be archived, which then cannot be read). To disk cannot be called "ready to work". Pay attention to the phrase "the file is ready to work": a file that is still in the process of being written When the pdf file appears and ready to work, archiving in rar will start.On a Linux server, this can be done by creating a watchdog script in Python 3Īnd the patool package. RAR compression provides nearly 20x PDF compression and is currently the best compression algorithm for pdf The most efficient way to save server space is to compress PDF to RAR. I am hoping you folks might have some more ideas.Storing large PDFs (over 2GB) wastes server space and causes problems when downloading with Google Chrome. I feel like I have tried everything I can think of to reduce the final PDF file size. I have tried the compress_content_streams method from PyPDF2. I have tried reading the final PDF back into the script to pass to a fresh writer object. I have tried using writer.add_page(reader.pages) instead of merger.append(reader.pages). I am using Python 3.11 and the latest versions of each package. Then, I use PyPDF2 again to stamp the page numbers on the merged pages. I am merging the existing PDFs using PyPDF2 and creating a separate page numbers document using reportlab. The final file needs to be 20MB or less because we often send them to customers via e-mail. I need some help finding a way to reduce the final file size when my script creates PDFs. The script runs, but it is creating PDFs that are 75MB! The Excel compiler and "by hand" formatting results in a file of around 18MB. And we have to copy+paste information from the. But, the Excel file does not do any formatting, such as page numbers, page labels, etc. We have been using a macro-enabled Excel file to compile the manuals. The script will look at a bill of materials, compile the individual documents listed in the bom into one document, and add page numbers to the new document. I am building an automation script to build pdf parts manuals.
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