streamlit_sql 0.3.0

CRUD interface for sqlalchemy using streamlit

streamlit_sql

Introduction

Creating a CRUD interface can be a tedious and repetitive task. This package is intended to replace all of that with a few lines of code that involves simply creating a sqlalchemy statement and calling the main SqlUi class with only 3 required arguments. All extra and advanced features are available by supplying non-required arguments to the class initialization.

When the main class is initialized, it will display the database table data with most of the expected features of a crud interface, so the user will be able to read, filter, update, create and delete rows with many useful features.

Demo

See the package in action here.

Features

READ

• Display as a regular st.dataframe
• Add pagination, displaying only a set of rows each time
• Set the dataframe to be displayed using standard sqlalchemy select statement, where you can JOIN, ORDER BY, WHERE, etc.
• Add a column to show the rolling sum of a numeric column
• Conditional styling if the DataFrame based on each row value. For instance, changing its background color

FILTER

• Filter the data by some columns before presenting the table.
• Let users filter the columns by selecting conditions in the filter expander
• Give possible candidates when filtering using existing values for the columns
• Let users select ForeignKey's values using the string representation of the foreign table, instead of its id number

UPDATE

• Users update rows with a dialog opened by selecting the row and clicking the icon
• Text columns offers candidates from existing values
• ForeignKey columns are added by the string representation instead of its id number
• In Update form, list all ONE-TO-MANY related rows with pagination, where you can directly create and delete related table rows.
• Log updates to database to stderr or in anyway loguru can handle

CREATE

• Users create new rows with a dialog opened by clicking the create button
• Text columns offers candidates from existing values
• Hide columns to fill by offering default values
• ForeignKey columns are added by the string representation instead of its id number

DELETE

• Delete one or multiple rows by selecting in DataFrame and clicking the corresponding button. A dialog will list selected rows and confirm deletion.

Requirements

All the requirements you should probably have anyway.

1. streamlit and sqlalchemy
2. Sqlalchemy models needs a str method
3. Id column should be called "id"
4. Relationships should be added for all ForeignKey columns

Basic Usage

Install the package using pip:

pip install streamlit_sql

Run show_sql_ui as the example below:

from streamlit_sql import show_sql_ui
from sqlalchemy import select

conn = st.connection("sql", url="<db_url>")

stmt = (
    select(
        db.Invoice.id,
        db.Invoice.Date,
        db.Invoice.amount,
        db.Client.name,
    )
    .join(db.Client)
    .where(db.Invoice.amount > 1000)
    .order_by(db.Invoice.date)
)

show_sql_ui(conn=conn,
            read_instance=stmt,
            edit_create_model=db.Invoice,
            available_filter=["name"],
            rolling_total_column="amount",
)

show_sql_ui(conn, model_opts)

!!! warning In the statement, always include the primary_key column, that should be named id

Interface

• Filter: Open the "Filter" expander and fill the inputs
• Add row: Click on "plus" button (no dataframe row can be selected)
• Edit row: Click on "pencil" button (one and only one dataframe row should be selected)
• Delete row: Click on "trash" button (one or more dataframe rows should be selected)

Customize

You can adjust the CRUD interface by the select statement you provide to read_instance arg and giving optional arguments to the show_sql_ui function. See the docstring for more information or at documentation webpage: