Ben Timby has committed code to PyFilesystem that lets you expose any filesystem over FTP. We've had the ability to serve filesystems over SFTP (secure ftp) and XMLRPC for a while, but plain old FTP was a glaring omission–until now.
You can serve the current directory programatically with something like the following:
from fs.expose.ftp import serve_fs from fs.osfs import OSFS serve_fs(OSFS('.'), '127.0.0.1', 21)
The same functionality is also available to the fsserve command. The following is equivalent to the above code, but from the command line:
fsserve -t ftp .
You'll probably need root privileges (i.e. sudo) on Linux for these examples.
With the server running, you can browse the files on your home directory with an ftp client, or by typing “ftp://127.0.0.1” in to your browser. Any of the other supported filesystems can be served in the same way.
FTP has been around since the dawn of the internet, so just about any network enabled device will be able to access files exposed this way. It's a great way of creating a gateway to other filesystems. You could expose files stored on Amazon S3 for example.
You'll need to check out the latest code from SVN to try this out.
Update: Ben has posted more about this.
There have been some pretty exciting developments in PyFilesystem since version 0.3 was released – Ryan Kelly and myself have been hard at work, and there have been a number of excellent contributions to the code base from other developers. Version 0.4 will be released some time in January, but I'd like to give you a preview of some new features before the next version lands.
Pyfilesystem is a Python module that provides a simplified common interface to many types of filesystem.
It is now possible to open any of the supported filesystems from a URL in this format, which makes it very easy to specify a filesystem (or individual file) from the command line or a config file. Here's a quick example that opens a bunch of quite different filesystems:
from fs.opener import fsopendir projects_fs = fsopendir('/projects') zip_fs = fsopendir('zip:///foo/bar/baz.zip') ftp_fs = fsopendir('ftp://ftp/mozilla.org') sftp_fs = fsopendir('sftp://example.org')
If you used Pyfilesystem in your application you could trivially change where your files are physically located, or where you save generated files to.
You can also open a file directly without the need to explicitly open the filesystem it is contained within, with the
fsopen function, e.g.:
from fs.opener import fsopen print fsopen('zip:///foo/bar/baz.zip!dir/somefile.txt').read() print fsopen('ftp://ftp.mozilla.org/pub/README').read()
fsopen is very similar to the builtin
open method and will return a file-like object of some kind. In fact, if you pass in a system path it works as
open would (although the exceptions will be an instance of
fs.errors.FSError rather than
Because of this similarity with the builtin,
fsopen could be used to shadow
open, and instantly add the ability for an application to open files on mediums other than a system drive. This is all it takes:
from fs.opener import fsopen as open
Version 0.4 also adds a number of applications that mirror some of the standard command line apps, but extend their functionality with FS URLs. For example,
fsls, functions just like the
ls command, but works with any of the supported filesystems:
will@will-linux:~$ fsls .
will@will-linux:~$ fsls zip://myzip
will@will-linux:~$ fsls ftp://ftp.mozilla.org/pub
will@will-linux:~$ fsls sftp://user:firstname.lastname@example.org/home/will
You can also copy and move files between filesystems with
fsmv, which work in a very similar manner to their
mv counterparts, with a few extensions such as multi-threaded copying (great for network filesystems) and an ascii progress bar. The following example copies all the
.py files in my
projects directory to zip file on an ftp server, and displays an progress bar to boot.
will@will-linux:~$ fscp ~/projects/*.py zip:ftp://will:email@example.com/backups/code.zip
Then there is the
fscat command that writes a file in a filesystem to the terminal. The following example displays a python file in the zip file that we created with the previous command:
will@will-linux:~$ fscat zip:ftp://will:firstname.lastname@example.org/backups/code.zip!pythonrocks.py
The other commands
fstree work as you may expect.
fsserve command adds the ability to serve any of the supported filesystems over a number of protocols. The default is to serve
http – in effect creating a webserver. The following is all it takes to serve the contents of your current working directory:
Now if you point your browser at http://127.0.0.1 you will see a web-page with the contents of your current working directory (or a index.html file if present). It's not the most bullet-proof of web servers, but handy if you quickly want to serve some files. Naturally,
fsserve works with any filesystem you pass to it. You could, for instance, serve the contents of a zip file without ever explicitly unzipping it, or create an ftp to http gateway by serving an ftp filesystem. The following command creates a ftp to http gateway for
will@will-linux:~$ fsserve ftp://ftp.mozilla.org
You also have the option of serving a filesystem over SFTP (Secure FTP), or by RPC (Remote Procedure Call). Either of these two methods expose all the functionality of the remote filesystem, so you could run a server on one machine and create/move/copy/delete files from another machine on the network (or internet). For example, the following would serve the current working directory on localhost, port 3000:
will@will-linux:~$ fsserve -t rpc -p 3000
You can then connect to that server from another machine on the network. Assuming my local IP is
192.168.1.64 the following would display the directory structure from another machine on my network:
will@will-linux:~$ fstree rpc://192.168.1.64:3000
Any of the filesystems can be mounted on the OS with the
fsmount command, which uses FUSE on Linux or DOKAN on Windows. The advantage of this is that the filesystems exposed in Python can be used in any application, and browsed with Explorer or Nautilus. The following creates a ram drive on Linux:
will@will-linux:~$ fsmount mem:// mem
Or on Windows:
C:\> fsmount mem:// M
Get the Code
There is no documentation online for the new features as yet, but if you are a brave soul and want to experiment with any of the above commands then download the code from SVN and run
python setup.py install. The command line apps all have a
-h which which displays help on the various options.
Bear in mind that these commands are still somewhat experimental, and some of these commands have the capacity to delete files – so be careful. That said, I'm confident to use them for my day-to-day work.
Please see the projects page page if you want to report bugs or discuss Pyfilesystem with myself and the other developers.
I am pleased to announce a new version of PyFilesystem (0.3), which is a Python module that provides a common interface to many kinds of filesystem. Basically it provides a way of working with files and directories that is exactly the same, regardless of how and where the file information is stored. Even if you don't plan on working with anything other than the files and directories on your hard-drive, PyFilesystem can simplify your code and reduce the potential of error.
PyFilesystem is a joint effort by myself and Ryan Kelly, who has created a number of new FS implementations such as Amazon S3 support and Secure FTP, and some pretty cool features such as FUSE support and Django storage integration.
As an example of how awesome this package is, take a look at the following 6 lines of code, which creates a ramdrive:
from fs.osfs import OSFS from fs.memoryfs import MemoryFS from fs.expose import fuse home_fs = OSFS('~/') home_fs.makedir('ramdrive', allow_recreate=True) fuse.mount(MemoryFS(), home_fs.getsyspath('ramdrive'))
If you run this, a directory called
ramdrive will appear in your home folder, the contents of which are stored purely in memory.
I prepared a screencast that gives a quick demonstration of some features – because if a picture is worth a thousand words, this video must be worth fifteen thousand words a second:
This release has reached a good level of stability and maturity. I'd like to invite as many Pythonistas as possible to check out this module and possibly contribute to the project.
After my last post regarding FS, my file-system abstraction layer for Python, I think I may have left people thinking,"that's nice, but what would you use if for?". Generally, I see it as a way of simplifying file access and exposing only the files you need for your application -- regardless of their physical source. But I can think of a few other uses that may be a littler cooler.
Instant Archive Format
The osfs.MemoryFS class is a filesytem that exists only in memory. You can create files / directories and copy files to it from other filesystem objects, but when you open a file you will get back a StringIO object (from the standard library). Naturaly the files in a MemoryFS are transitory, but as everything is in memory, file access is very fast. I was thinking that since the files and directories are stored as simple Python objects, then a MemoryFS can be pickled -- creating an instant archive format. Uncompressing this archive would simply require unpicking and using the resultant object. I can't see any advantages of this over zip or tar archives, but if you don't have them available, this would be a workable substitute!
It wouldn't be particularly challenging to write an FS an object that created a filesystem on a database. Actualy, if using an ORM like SQLAlchemy, SQLObject, Storm or Django's database layer it would be fairly trivial. So what would you use such a thing for? I can think of one use which may make it worth the effort, and that is the ability to store templates for a Python web application in the database, rather than (or in addition to) files. Consider if you will, a situation where the client has requested a change that is absolutely critical to the success of his company and he won't take "it will be in the next release" for an answer, and neither will your project manager. Wouldn't it be nice if you could go in to the Django admin pages and just type in the changes, without making a new release. I'm tempted to implement such a thing, if nobody has done so already!
Proxying a Filesystem
A generic filesystem server could be written that exposes a remote file-system over whatever channel is available. I know there are some standard ways of doing this, but they might not be available on a given platform. I'm thinking of small devices with limited capabilities, or secure environments. The server would serve an FS object, and the client would present the app with a corresponding interface that pulled files and directories over the wire.
There you go. If anyone implements these, let me know!
This is something I have been hacking together for a while now; FS is a file-system abstraction for Python. It has reached a stable state and is worthy of an official (0.1.0) release.
First, a brief history of the project. A while back, I was working mainly with desktop applications in wxPython. I found that I had a number of sources for files; there were read-only resources such as images, per-user files and per-installation config files. The location of these files would change depending on whether I was debugging or building a release version. The logic required to manage all this was pretty ugly and error-prone. So I wrote a collection of classes to bring all these disparate locations for files under a single virtual file-system. For example, to open a config file I could just read 'user/settings.cfg', and to open an image resource I could just read from 'resources/logo.png' and the virtual file-system would do the right thing and return a file-like object.
This turned out to be insanely useful, and I used it for a number of projects. I also used it while working for ICC, and I had the opportunity to enhance it based on feedback from colleagues. In the last few months I have re-written it from scratch, because I wanted to avoid any copyright issues, but mainly because I could make a better job of it the second time around.