fastapi-sqlalchemy-profiler 0.1.3

SQL Profiler for FastAPI + SQLAlchemy with HTML UI

fastapi-sqlalchemy-profiler

A lightweight SQL query profiler for FastAPI + SQLAlchemy applications.

This tool captures:

• All SQL queries executed per request
• Total SQL execution time
• Average query time
• Slowest query
• N+1 query detection
• Beautiful, responsive HTML dashboard at:

Perfect for diagnosing ORM performance issues, debugging inefficient queries, or validating database behavior during development.

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🚀 Features

🔍 Request-Level SQL Profiling

Tracks every SQL query executed during a FastAPI request:

• SQLAlchemy Core queries
• SQLAlchemy ORM queries
• Queries from async AsyncSession.execute()
• Queries triggered by your services, repositories, dependencies, etc.

⚡ Performance Insights

• Total query time for request
• Average query time
• Slowest query
• Full query text preview

🟥 Automatic N+1 Detection

Automatically detects repeated SQL patterns, such as:

SELECT * FROM comments WHERE post_id = ?
SELECT * FROM comments WHERE post_id = ?
...

The HTML dashboard shows:

• How many times the query repeated

• A preview of the repeated SQL

• 🎨 Modern HTML UI (Dark Mode)

• Fully responsive

• Minimalistic dark theme

• Collapsible SQL query blocks

• color-coded method badges

• No external JS or CSS

• Only builtin browser HTML/CSS

🎯 Zero Configuration

Enable with just:

app.add_middleware(SQLProfilerMiddleware, enabled=True)
app.include_router(profiler_router)
attach_sqlalchemy_listeners(engine)

📦 Installation

pip install fastapi-sqlalchemy-profiler

🧩 Requirements

Component Supported Versions

• Python 3.11+
• FastAPI Any version
• Starlette Any version
• SQLAlchemy 1.4.x or 2.x
• Databases PostgreSQL, MySQL, SQLite, etc.
• Async drivers asyncpg, aiosqlite, aiomysql, etc.

🛠 Compatible Tech Stack

This profiler works great with:

Frameworks

• FastAPI

• Starlette

Database layers

• SQLAlchemy ORM

• SQLAlchemy Core

• AsyncEngine / AsyncSession

• Sync Engine + Session

Drivers

• asyncpg

• aiomysql

• aiosqlite

• psycopg2 / pg8000 (for sync engines)

🛠 Example Usage (FastAPI + SQLAlchemy Async)

Here is how to integrate it in your existing app:

from fastapi import FastAPI
from sqlalchemy.ext.asyncio import create_async_engine

from fastapi_sqlalchemy_profiler import (
    SQLProfilerMiddleware,
    attach_sqlalchemy_listeners,
    profiler_router
)

DATABASE_URL = "postgresql+asyncpg://user:pass@localhost/db"

engine = create_async_engine(DATABASE_URL, echo=False)

# Attach SQLAlchemy event listeners
attach_sqlalchemy_listeners(engine)

app = FastAPI()

# Add profiler middleware (recommended only in DEBUG mode)
app.add_middleware(SQLProfilerMiddleware, enabled=True)

# Add HTML profiler UI
app.include_router(profiler_router)

Start your app:

uvicorn main:app --reload

Then open: http://localhost:8000/debug/sql-profiler

🧪 Example Output (HTML)

🔥 Request Summary

GET /api/v1/productions
Queries: 18 • Total: 32.4 ms • Avg: 1.8 ms • Slowest: 4.1 ms

🟥 N+1 Warning

⚠️ N+1 queries detected

× 12
SELECT comments.id, comments.text, comments.post_id
FROM comments
WHERE comments.post_id = ?

📄 Full Query List (collapsible)

• Per-query execution time

• SQL text pretty-printed

• Expand/collapse blocks

⚠️ Recommended: Use Only in Development

This tool is intended for:

• local debugging

• performance tuning

• verifying ORM behavior

• diagnosing N+1 issues

• Do NOT enable in production.

For safety:

app.add_middleware(SQLProfilerMiddleware, enabled=settings.DEBUG)

🤝 Contributing

PRs and feature requests welcome:

• Add slow query highlighting

• Add auto-refresh mode

• Expand N+1 heuristics

• Add JSON API export

• Improve UI styling

📄 License

MIT License — open for personal and commercial use.

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