Skip to content

Latest commit

 

History

History
102 lines (72 loc) · 3.67 KB

README.md

File metadata and controls

102 lines (72 loc) · 3.67 KB
Raw

Random FTP grabber

Situation: You have various file servers with interesting stuff, too much which you can possibly download, and most of the stuff you never heard about so you cannot tell how much it is of interest, but you still want to download a good set of files.

(A common such situation is if you are on a Hacker Conference like the Chaos Communication Congress/Camp.)

A totally random sampling might already be a good enough representation, but we might be able to improve slightly.

A bit tricky is if there are multiple-parts which belong together - they should be grabbed together.

Usage

Go into the directory where you want to download to.

echo "ftp://bla/blub1" >> sources.txt
echo "ftp://blub/bla2" >> sources.txt
mkdir downloads
RandomFtpGrabber/main.py

It will create some *.db files, e.g. index.db, where it saves its current state, so when you kill it and restart it, it should resume everything, all running downloads and the lazy indexing.

Details

  • Python 3.
  • Downloads via wget.
  • Provide a list of source URLs in the file ./sources.txt.
  • Lazy random sampled indexing of the files. It doesn't build a full index in the beginning, it rather randomly browses through the given sources and randomly selects files for download. See RandomFileQueue for details on the random walking algorithm. If you run it long enough, it still will end up with a full file index, though.
  • FTP indexing via Python ftplib. HTTP via urllib3 and BeautifulSoup.
  • Resumes later on temporary problems (connection timeout, FTP error 4xx), skips dirs/files with unrecoverable problems (file not found anymore or so, FTP error 5xx).
  • Multiple worker threads and a task system with a work queue. See TaskSystem for details on the implementation.
  • Serializes current state (as readable Python expressions) and will recover it on restart, thus it will resume all current actions such as downloads. See Persistence for details on the implementation.

Plan

For found files, it should run some detection whether it should be downloaded (or how to prioritize certain files more than others).

Via the Python module guessit, we can extract useful information just from the filename - works well for movies, episodes or music.

We can then use IMDb to get some more information for movies. The Python module IMDbPY might be useful for this case (although it doesn't support Python 3 yet - see here). Then, also this is relevant.

Some movie recommendation engine can then be useful.

There also could be some movie blacklist. I don't want to download movies which I already have seen.

There could be other filters.

Maybe better scraping and web crawling via Scrapy.

Contribute

Do you want to hack on it? You are very welcome!

About the plans, just contact me so we can do some brainstorming.

Want to support some new protocol? Modify FileSysIntf for the indexing and Downloader for the download logic, although this might already work because it just uses wget for everything.

Author

Albert Zeyer, [email protected].