I want to build an uploading tool in plotly DASH, that will take any file, encrypt it using python's cryptography.fernet and upload it. To circumvent the limitations of dcc.upload component, I am using a module dash-uploader.
The standard behavior of this module, however is following: Upload component takes the file, uploads it to the server directly and only lets me encrypt it on the server side. I want to introduce a modification of this behavior, that the encryption is performed locally and the file is transferred as encrypted.
Please suggest any way how to best modify the standard behavior to allow uploaded file modification prior to its actual upload.
thanks
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So I am generating reports with Python and Ninja in the ASCIIDoc format.
But from within my app I need to convert them into PDF and upload them to another system.
I have seen that there are multiple HowTo for command line that involve ASCIIDoctor or other tools, but they always are invoked at OS level by starting a program or running a docker container and writing the output to a file.
Isn't there a way to perform those action within my app and get the PDF as a string that I can use for the upload?
You can certainly use the available tools to generate a PDF, which you could then read into memory as an opaque string that could be uploaded as needed.
If your question is: how do I generate and upload a PDF without installing any other tools?
Then the answer is that you'd have to implement the PDF generation logic yourself, rather than using tested tooling.
I am working for a company which is currently storing PDF files into a remote drive and subsequently manually inserting values found within these files into an Excel document. I would like to automate the process using Zapier, and make the process scalable (we receive a large amount of PDF files). Would anyone know any applications useful and possibly free for converting PDFs into Excel docs and which integrate with Zapier? Alternatively, would it be possible to create a Python script in Zapier to access the information and store it into an Excel file?
This option came to mind. I'm using google drive as an example, you didn't say what you where using as storage, but Zapier should have an option for it.
Use cloud convert, doc parser (depends on what you want to pay, cloud convert at least gives you some free time per month, so that may be the closest you can get).
Create a zap with this step:
Trigger on new file in drive (Name: Convert new Google Drive files with CloudConvert)
Convert file with CloudConvert
Those are two options by Zapier that I can find. But you could also do it in python from your desktop by following something like this idea. Then set an event controller in windows event manager to trigger an upload/download.
Unfortunately it doesn't seem that you can import JS/Python libraries into zapier, however I may be wrong on that. If you could, or find a way to do so, then just use PDFminer and "Code by Zapier". A technician might have to confirm this though, I've never gotten libraries to work in zaps.
Hope that helps!
I am using TimeStats extension on Chrome. And what I want to do now is to read the data in the LocalStorage (which contains all the information about the time I spent on each website) in a Python script and do later data processing.
I know that Ctrl+c and Ctrl+v would work in this case, but I am wondering are there any elegent and reliable ways to do that?
Thanks!
You can use native messaging to send data between your extension and an external app. The sample app for demonstrating native messaging is written in Python, so you have the communications part already solved.
EDIT:
I see now that you are talking about an extension you don't own. Google Chrome currently stores LocalStorage data in SQLite format, so you should be able to read it directly using the sqlite3 package. See the answers to this question.
The file for the timeStats extension would be chrome-extension_ejifodhjoeeenihgfpjijjmpomaphmah_0.localstorage
Note that Google can change the way of storing LocalStorage at any time.
I'm looking to store some individual settings to each user's computer. Things like preferences and a license key. From what I know, saving to the registry could be one possibility. However, that won't work on Mac.
One of the easy but not so proper techniques are just saving it to a settings.txt file and reading that on load.
Is there a proper way to save this kind of data? I'm hoping to use my wx app on Windows and Mac.
There is no proper way. Use whatever works best for your particular scenario. Some common ways for storing user data include:
Text files (e.g. Windows INI, cfg files)
binary files (sometimes compressed)
Windows registry
system environment variables
online profiles
There's nothing wrong with using text files. A lot of proper applications uses them exactly for the reason that they are easy to implement, and additionally human readable. The only thing you need to worry about is to make sure you have some form of error handling in place, in case the user decides to replace you config file content with some rubbish.
Take a look at Data Persistence on python docs. One option a you said could be persist them to a simple text file. Or you can save your data using some serialization format as pickle (see previous link) or json but it will be pretty ineficient if you have several keys and values or it will be too complex.
Also, you could save user preferences in an .ini file using python's ConfigParser module as show in this SO answer.
Finally, you can use a database like sqlite3 which is simpler to handle from your code in order to save and retrieve preferences.
So, i'm trying to create an google app engine (python) app that allows people to share files. I have file uploads working well, but my concern is about checking the file extension and making sure, primarily, that the files are read only, and secondly, that they are of the filetype that is specified. These will not be image files, as a know they are a lot of image resources already. Specifically, .stl mesh files, but i'd like to be able to do this more generally.
I know there are modules that can do this, python-magic seems to be able to do this for example, but i can't seem to find any that i'm able to import without LoadModuleRestricted. I'm considering writing my own parser, but that would be a lot of work for such a common (i'm assuming) issue.
Anyway, i'm totally stumped so this is my first stackoverflow question, so hope i'm doing well etiquette wise. Let me know, and thanks!
It sounds like you want to read the first few bytes of the uploaded file to verify that its signature matches the purported mime type. Assuming that you're uploading to blobstore (i.e., via a url obtained from blobstore.get_upload_url(), then once you're redirected to the upload handler whose path you gave to get_upload_url, you can open blob using a BlobReader, then read and verify the signature.
The Blobstore sample app lays out the framework. You'd glue in code in UploadHandler once you have blob_info (using blob_info.key() to open the blob).