sqlite-opus 0.3.0

A Flask-based web dashboard for SQLite database query and management

SQLite Opus

A Flask-based web dashboard for SQLite database query and management.

Installation

pip install sqlite-opus

Or install from source:

git clone https://github.com/hungle00/sqlite-opus.git
cd sqlite-opus
pip install -e .

Quick Start

SQLite Opus can be used as a library, similar to Flask-MonitoringDashboard:

from flask import Flask
import sqlite_opus as dashboard

app = Flask(__name__)

# Bind the dashboard to your Flask app
dashboard.bind(app)

# The dashboard will be available at http://localhost:5000/sqlite-opus
app.run()

Screenshots

Dashboard: tables list, table schema viewer, and SQL query editor with results.

Configuration

You can customize the dashboard configuration:

import sqlite_opus as dashboard

# Option 1: Configure before binding
dashboard.config.url_prefix = "my-dashboard"
dashboard.config.max_query_results = 500
dashboard.bind(app)

# Option 2: Configure during binding
dashboard.bind(
    app,
    url_prefix="my-dashboard",
    max_query_results=500,
    enable_cors=True
)

Configuration Options

• url_prefix: URL prefix for dashboard routes (default: "sqlite-opus")
• db_path: Path to a SQLite database file for auto-connect on startup
• enable_cors: Enable CORS support (default: True)
• auth_user / auth_password: HTTP Basic Auth for all dashboard routes (optional). When both are set, every request must supply valid credentials.
• allow_dml: If True, allow write queries (INSERT/UPDATE/DELETE/CREATE/…). Default: False (read-only).

Security (production): Use Basic Auth and keep allow_dml disabled in production for a more secure setup. Example:

dashboard.bind(
    app,
    auth_user="admin",
    auth_password="your-strong-password",
    allow_dml=False,  # read-only
    db_path="data.db",
)

Features

• Web-based SQLite Query Interface: Execute SQL queries through a web dashboard
• Database Connection Management: Connect to and disconnect from SQLite databases
• Table Schema Viewer: View table structures and schemas
• Query Results Display: View query results in a formatted table with pagination (powered by the paginate library)

Development

Setup Development Environment

# Create virtual environment
python3.10 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install in development mode with dev dependencies
pip install -e ".[dev]"

Requirements

• Python >= 3.10
• Flask >= 2.3.0
• Flask-CORS >= 4.0.0 (optional, for CORS support)

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.