ffdb 2.5.2

ffdb

ffdb.py - Flat-File DB: nosql single file database and document storage

The module ffdb and the associated set of utility scripts (indexer, extractor, filestorer, remover and merger) allow the creation, maintenance and usage of a database and document storage which employs a single file acting as a container for all the data.

This file can be distributed in several copies, made locally available or placed online to be accessed remotely (e.g. over ftp or www).

The resulting database is hence accessible everywhere, without the need for any complex installation and in particular without requiring any service to be running continuously.

• Simple 1-2-3 procedure:

1. Index your flat-file and/or choose documents to store
2. Place the resulting file wherever you want (locally or online, e.g. ftp or www)
3. Retrieve the entries or the documents from any device and location

FFDB can index entries according to any pattern, creating index of identifiers unique to each entry or shared across many. For a biological database this could mean for example to allow retrieval of all entries belonging to a certain species.

When requesting entries, the user can specify whether retrieving all the entries corresponding to the given identifier, or only the first or only the last one. This allows the possibility of storing a version history of the entries, continuously appending new entry versions to the file.

When indexing entries of a flat-file or storing documents inside the database, the user can optionally specify to encrypt (AES) or compress (ZLIB) the entries/files.

Encrypted entries share a single master password but each has a unique IV (Initialization vector). No plaintext information is sent or received, thus allowing secure access to encrypted entries of the database over insecure channels.

With an external utility (gztool), the container file can even be compressed as a whole, while still allowing retrieval of single entries. This can be useful when said file needs to also be distributed and employed in its entirety, without limiting its use only via ffdb.

Documentation

• GitHub page

Download and installation

ffdb is pure python code. It has no platform-specific dependencies and should thus work on all platforms. It requires the packages requests pycryptodomex and sortedcontainers. The latest version of ffdb can be installed by typing either:

pip3 install -U ffdb

(from Python Package Index)

or:

pip3 install git+git://github.com/g-insana/ffdb.py.git

(from GitHub).

The utility scripts should get installed for you by pip (if installed as --user you may need to add e.g. ~/.local/bin/ to your $PATH). Alternatively, you can directly download those you need:

curl -LO https://github.com/g-insana/ffdb.py/raw/master/scripts/indexer.py
curl -LO https://github.com/g-insana/ffdb.py/raw/master/scripts/extractor.py
curl -LO https://github.com/g-insana/ffdb.py/raw/master/scripts/remover.py
curl -LO https://github.com/g-insana/ffdb.py/raw/master/scripts/merger.py

Quickstart: some examples

 #index a flat-file:

$ indexer.py -i '^name: (.+)$' 'email: (.+)$' -f addressbook >addressbook.idx

$ indexer.py -i '^AC   (.+?);' -f uniprot.dat -e '^//$' >uniprot.pac

 #store all the files contained in a directory:

$ filestorer.py -f myphotos.db -d iceland_photos/

 #add some more files

$ filestorer.py -f myphotos.db -s sunset.jpg icecream.jpg

 #extract a series of entries from the db

$ extractor.py -f uniprot.dat -i uniprot.pac -l sars_proteins

 #extract an entry from remote location

$ extractor.py -f http://remote.host/addressbook -i addressbook.idx -s [e-mail]

 #extract a file from the db

$ extractor.py -f myphotos.db -s sunset.jpg >sunset.jpg

 #merge two indexed flat-files

$ merger.py -f mydb -i mydb.idx -e newentries -n newentries.idx -d #(mydb will incorporate newentries)

 #remove a series of entries from the db

$ remover.py -f addressbook -i addressbook.idx -l disagreed_with_me.list

Copyright

ffdb is licensed under the GNU Affero General Public License.

(c) Copyright Giuseppe Insana, 2020-