So I'm real green with file I/O and memory limits and the such, and I'm having a rough time getting my web application to successfully serve large file downloads to a web browser with flask's make_response
. The following code works on smaller files (<~1GB), but gives me a MemoryError
Exception when I get into larger files:
raw_bytes = "" with open(file_path, 'rb') as r: for line in r: raw_bytes = raw_bytes + line response = make_response(raw_bytes) response.headers['Content-Type'] = "application/octet-stream" response.headers['Content-Disposition'] = "inline; filename=" + file_name return response
I'm assuming that sticking over 2 GB worth of binary data into a string is probably a big no-no, but I don't know an alternative to accomplishing these file download black magicks. If someone could get me on the right track with a chunky[?] or buffered approach for file downloads, or just point me toward some intermediate-level resources to facilitate a deeper understanding of this stuff, I would greatly appreciate it. Thanks!
You should not deploy a Flask app using the bundled Flask development server. In practice, this development server can be handy for quickly testing your application, but it isn't designed for high-demand applications, and therefore is unlikely to play nicely when you push it into a production environment.
Now, your Flask app should be app and running on https://yourusername.pythonanywhere.com. On the free plan you have 500 MB of disk space, so if your project gets bigger you may want to upgrade to one of the PythonAnywhere paid plans.
In order to offer several files together as a download, you only have the option of compressing them in an archive. In my example, all files that match the specified pattern are listed and compressed in a zip archive. This is written to the memory and sent by the server. Save this answer.
Flask makes response is defined as a utility function that enables users to add additional HTTP headers to the response within the view's code.
See the docs on Streaming Content. Basically, you write a function that yields chunks of data, and pass that generator to the response, rather than the whole thing at once. Flask and your web server do the rest.
from flask import stream_with_context, Response @app.route('/stream_data') def stream_data(): def generate(): # create and return your data in small parts here for i in xrange(10000): yield str(i) return Response(stream_with_context(generate()))
If the file is static, you can instead take advantage of send_from_directory()
. The docs advise you to use nginx or another server that supports X-SendFile, so that reading and sending the data is efficient.
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