SQL Generator and Query Result Retriever
Project description
TextualOrm
This tool generates SQL queries from natural language and retrieves query results. This orm generates sql queries from your input and the specifics of your connected database and can also run them to retrieve records.
Find the code here
Currently, this ORM only supports retrieval queries. Queries that perform delete, create, or other CRUD (Create, Read, Update, Delete) actions will not be executed on your database..
The core of this application is the use of Large Language Models to generate the sql queries. This orm currently supports two LLMs:
- SQL Generator LLM - (free and the default llm used).
- OpenAI (requires subscription to OpenAI)
You can find more information about the default SQL Generator LLM by going to the link here. This has been fine-trained from the flan-t5-base model.
Requirements
- Python
- Postgres
- Redis Note: Support for additional databases such as MySQL will be added in future updates.
Installation
pip install textual_orm
Usage Instructions
-
Initialize the Orm
from textual_orm import TextualOrm textual_orm = TextualOrm(connection_string="postgresql://user:password@host:port/db_name", llm_type=LLMType.DEFAULT, redis_host="localhost", redis_port=6379)To use the OpenAI implementation, add your api-key to the arguments:
from textual_orm import TextualOrm textual_orm = TextualOrm(connection_string="postgresql://user:password@host:port/db_name", llm_type=LLMType.DEFAULT, redis_host="localhost", redis_port=6379, api-key="") -
Call the setup method:
await textual_orm.setup() -
Generate the SQL query
sql_query = await textual_orm.make_sql_request("List of settings", ["setting"]) print(sql_query)This method takes three arguments:
- question: Input question
- tables: List of tables as reference
- request_data: A boolean to indicate if it should query the database or return only the sql_query (default value is False)
By default, the make_sql_request does not actually query the database. It returns back the generated sql query which you can look at and verify. To get an alternative sql query, please modify your input question.To query the database with the generated sql query. Call the method passing in
request_data=True. This will return a response in this format:{ 'query': 'SELECT * FROM setting ORDER BY created_at DESC LIMIT 5;', 'data': [<records>] }Where data is a list of records from the query response.
datawill be None ifrequest_data=Falseas in the default case.
Note that first time run may take a little time.
For better performance, speed and caching, redis is required.
Additional Arguments
This orm uses a default postgres max pool of 10. You can modify it if needed by passing your value to the max_pool argument.
Below is a list of other supported arguments to Orm:
min_size=1minimum size of poolmax_size=10maxiumum size of poolapi_key=""api key for the given llm
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file textual_orm-0.1.3.tar.gz.
File metadata
- Download URL: textual_orm-0.1.3.tar.gz
- Upload date:
- Size: 10.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7464a75ad9f2bf2a9e640ae2d6301f0f0d9bc65659e77381c65339c4edc678f4
|
|
| MD5 |
f0ea0ae0d19b471d2829e840ca0cc861
|
|
| BLAKE2b-256 |
b40627b65a97d6cf965ee17113730d3b98c5825df49ad328971d4a3c01c0be9c
|
File details
Details for the file textual_orm-0.1.3-py3-none-any.whl.
File metadata
- Download URL: textual_orm-0.1.3-py3-none-any.whl
- Upload date:
- Size: 11.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
25bb11ed18bfa90f1d452581d9761efe6ef514c7248d84262d8d522422d999fe
|
|
| MD5 |
29e0cc9a328008c1e219da3f253b8b85
|
|
| BLAKE2b-256 |
77d19dd5a0ea61971f7b7b1c57a112792001d1c74469b72be2b30a4d50fddaf5
|