Skip to main content

NLSQL

Generates SQL query from natural language for your PostrgreSQL database. Simply connects to your database, gets the schema and generates query appropriately.

User Guide

you can use nlsql as httpserver and as a cli-command

Installation

pip install nlsql

run as http server

  1. start up the api server
    nlsql -s
    
  2. get results via curl
    curl --location 'http://localhost:8000/query' \
    --header 'Content-Type: application/json' \
    --data-raw '{
    "question": "get users with post that has top views and top reactions in the last 24 hours",
    "db_url": "postgresql://postgres:postgres@localhost:5432/postgres"
    }'
    

run as cli command

nlsql -m "./Nous-Hermes-2-Mistral-7B-DPO.Q4_0.gguf" -d "postgresql://postgres:postgres@localhost:5432/postgres" -q "get users with post that has top views and top reactions in the last 24 hours"

Response

    SELECT DISTINCT ON (users.id) users.id, users.name
    FROM users
    JOIN posts ON users.id = posts.post_creator_user_id
    WHERE posts.created_at > now() - interval '1 day'
    GROUP BY users.id, users.name
    HAVING SUM(posts.views) >= ALL (SELECT SUM(views) FROM posts WHERE created_at > now() - interval '1 day') AND SUM(posts.reactions) >= ALL (SELECT SUM(reactions) FROM posts WHERE created_at > now() - interval '1 day');

response was generated over the following users and posts tables:

postgres=# \d users
   Column   |            Type             | Collation | Nullable |              Default              
------------+-----------------------------+-----------+----------+-----------------------------------
 id         | integer                     |           | not null | nextval('users_id_seq'::regclass)
 name       | text                        |           |          | 
 created_at | timestamp without time zone |           |          | 

postgres=# \d posts
        Column        |            Type             | Collation | Nullable |              Default              
----------------------+-----------------------------+-----------+----------+-----------------------------------
 id                   | integer                     |           | not null | nextval('posts_id_seq'::regclass)
 title                | text                        |           |          | 
 url                  | text                        |           |          | 
 post_creator_user_id | integer                     |           |          | 
 views                | integer                     |           |          | 
 reactions            | integer                     |           |          | 
 created_at           | timestamp without time zone |           |          | 
 updated_at           | timestamp without time zone |           |          | 

Metadata

Release files for nlsql 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nlsql 0.0.2
File Size Uploaded Provenance
nlsql-0.0.2.tar.gz 5.6 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for nlsql 0.0.2
File Interpreter ABI Platform
nlsql-0.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 13.2 kB

Release files / nlsql-0.0.2.tar.gz

Download URL nlsql-0.0.2.tar.gz
Size 5.6 kB
Tags Source
SHA-256 checksum
How to use checksums
2e8abc01f3e2e5157dac831d60cafffbcd90321a723b110483cfd160bc60f2fc
BLAKE2b-256 checksum
How to use checksums
862d950ca49b54ac27b868f90969091884533ff478b90fca91f1e32aeb55205c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.12

Release files / nlsql-0.0.2-py3-none-any.whl

Download URL nlsql-0.0.2-py3-none-any.whl
Size 7.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d098ab3a40e6d1e5d2f61e49b60751d0400dd843ed0fa760ff61b3e2ff92db9c
BLAKE2b-256 checksum
How to use checksums
6cc37e094dbab2e3eccd48e5da0212a7ec5a1b5a9f2730b1dfe5ee2a34c3e7e1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.12

Security for nlsql 0.0.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.2 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page