Like ls -lR and du -hs in unix.
I'd like to store tons of data in by 1TB DropBox account (instead of my external disk) which are not synchronized to my local file system. I'd like to have knowledge of which parts of the data use the most disk space. On a unix system I can use du, on Mac I can use DaisyDisk. However, on DropBox I don't have such a tool. The desktop shows only total usage in percents (eg. 25% of 1TB quota). The web UI doesn't show anything beyond sizes of individual files.
- go to https://www.dropbox.com/developers/apps
- register your app
- copy your access token and export it as an environment variable
export DROPBOX_ACCESS_TOKEN=...
- Python 3
pip install dropbox
pip install pandas
Obtain the index of files in Dropbox (path and size).
./dropbox_ls.py 2> error.log | tee dropbox-index.tsv
/docs
123 /docs/foo.txt
/music
1234567 /music/bar.mp3
...
This may take eg. 20 minutes for ~300k files.
Disk usage for the children of the root directory (human readable and percentage). Ordered from biggest to smallest.
On the first run a tree is build from the index which may take about a minute. Then it is cached.
./dropbox_du.py dropbox-index.tsv
Disk usage for: /
Total size: 282.4GiB
size_perc size_fmt size
name
something_big/ 94.40 % 266.5GiB 286195014794
large/ 3.09 % 8.7GiB 9369366131
medium/ 1.16 % 3.3GiB 3511982644
small/ 0.50 % 1.4GiB 1510581472
tiny/ 0.33 % 968.1MiB 1015146707
Disk usage for some subdirectory:
/dropbox_du.py dropbox-index.tsv /foo
Disk usage for: /foo
Total size: 8.7GiB
size_perc size_fmt size
name
dir_01/ 85.02 % 7.4GiB 7966172821
dir_02/ 14.44 % 1.3GiB 1352917057
dir_03/ 0.44 % 39.5MiB 41409583
some_file.dat 0.06 % 5.2MiB 5406862
dir_04/ 0.02 % 1.5MiB 1612598
other_file.dat 0.01 % 662.9KiB 678798
Force recomputing the cached tree (or delete the *.pickle file):
/dropbox_du.py -f dropbox-index.tsv