Query a database in natural language
Project description
asql
Query a database in natural language. Uses docker images from https://github.com/paulfitz/mlsql - make sure Docker RAM limits are not too restrictive (should be above 3GB).
Installation
pip install asql
to work with Sqlite or CSV files.pip install asql[postgres]
to work with PostgreSQL databases.pip install asql[mysql]
to work with MySQL databases.- For other databases, see SQLAlchemy supported dialects.
Use
Tell asql
which model to use:
# pick one of these
asql --docker sqlova
asql --docker valuenet
I suggest you start with just one of these, although you can start both.
The sqlova
model works on single tables (e.g. a csv file) and can handle queries that take parameters.
The valuenet
model works on many tables, but is less strong at queries that take parameters.
Tell asql
which data to use:
$ pick one of these
asql --db your_data.csv
asql --db your_data.sqlite
asql --db postgres://user:password@host/database
asql --db mysql://user:password@host/database
Don't use on an enormous database just yet.
Now, ask whatever questions you like in plain English, and see what happens:
asql how many players are there?
asql which is the longest bridge?
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file asql-0.1.3.tar.gz
.
File metadata
- Download URL: asql-0.1.3.tar.gz
- Upload date:
- Size: 5.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f5f61608e378b521dc33d8888591d8ed01f6772801a783432c2d5a68934d4d2b |
|
MD5 | e128c6c8d60ae2525d2163ca85c7248e |
|
BLAKE2b-256 | 64adc4110137ff21ec944b72cda97beb55290e5f532ae5d9b7719c108208bfbb |