Web Performance Monitor

A lightweight performance monitoring library for Python web frameworks based on pyinstrument.

Features

• Zero-intrusion monitoring - Add performance monitoring without modifying your application code
• Automatic profiling - Captures detailed call stacks when response time exceeds threshold
• Request header collection - Automatically collects tracing-related HTTP headers (X-Request-ID, X-Trace-ID, etc.)
• Alert deduplication - Prevents alert fatigue with configurable time windows
• Multiple notification channels - Local files, Mattermost, and extensible for custom channels
• URL filtering - Whitelist/blacklist patterns to control what gets monitored
• Async notifications - Non-blocking notification delivery
• Multi-framework support - Supports Flask, FastAPI, and Sanic with async/await, extensible for Django, etc.

Installation

pip install web-perfmonitor

For FastAPI support:

pip install web-perfmonitor[fastapi]

For Sanic support:

pip install web-perfmonitor[sanic]

For Mattermost notification support:

pip install web-perfmonitor[mattermost]

Quick Start

Flask (Minimal Setup)

from flask import Flask
from web_perfmonitor import PerformanceMiddleware

app = Flask(__name__)
PerformanceMiddleware(app)  # That's it!

@app.route("/api/users")
def get_users():
    # Your business logic
    return {"users": [...]}

if __name__ == "__main__":
    app.run()

FastAPI (Async Support)

from fastapi import FastAPI
from web_perfmonitor import PerformanceMiddleware

app = FastAPI()
PerformanceMiddleware(app)  # Auto-detects FastAPI

@app.get("/api/users")
async def get_users():
    # Your async business logic
    return {"users": [...]}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)

Sanic (Async Support)

from sanic import Sanic
from sanic import json
from web_perfmonitor import PerformanceMiddleware

app = Sanic("MyApp")
PerformanceMiddleware(app)  # Auto-detects Sanic

@app.route("/api/users")
async def get_users(request):
    # Your async business logic
    return json({"users": [...]})

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=8000)

What happens:

• All endpoints are automatically monitored
• Performance reports are generated when response time exceeds 1 second
• Reports are saved to /tmp directory
• For FastAPI and Sanic, async functions are profiled correctly with full call stack

Custom Configuration

from web_perfmonitor import PerformanceMiddleware, MonitorConfig

config = MonitorConfig(
    threshold_seconds=0.5,      # 500ms threshold
    alert_window_days=7,        # 7-day deduplication window
    log_path="/var/log/myapp",  # Report save directory
    url_whitelist=["/api/*"],   # Only monitor /api/* endpoints

    # Request header collection (enabled by default)
    capture_request_headers=True,  # Collect request headers
    included_headers=None,          # None=use default list, or customize like ["X-Custom-ID"]
)

PerformanceMiddleware(app, config=config)

Default collected headers:

• X-Forwarded-For / X-Real-IP - Real client IP
• X-Request-ID / X-Trace-ID / X-Correlation-ID - Distributed tracing identifiers
• Referer - Request source
• Content-Type / Accept / Accept-Language - Content format
• Origin - CORS origin
• User-Agent - User agent string

Environment Variables

export PERF_THRESHOLD=0.5
export PERF_ALERT_WINDOW=7
export PERF_LOG_PATH=/var/log/myapp
export PERF_CAPTURE_REQUEST_HEADERS=true
export PERF_INCLUDED_HEADERS="X-Request-ID,X-Trace-ID,X-Custom-Header"
export PERF_URL_WHITELIST="/api/*"

config = MonitorConfig.from_env()
PerformanceMiddleware(app, config=config)

Notification Channels

Note: Local report saving is automatic and mandatory. Reports are always saved to log_path in both HTML and Markdown formats.

The notice_list is only for external notifiers (Mattermost, Email, Slack, etc.).

Zip Attachment: All external notifiers automatically attach a zip file containing both HTML and Markdown reports for convenient offline viewing and archiving.

Mattermost Notifications

config = MonitorConfig(
    log_path="/var/log/perf-reports",  # Local reports saved here (mandatory)
    notice_list=[
        # External notifiers only
        {
            "type": "mattermost",
            "format": "markdown",
            "server_url": "https://mattermost.example.com",
            "token": "your-api-token",
            "channel_id": "your-channel-id"
        }
    ]
)

Email Notifications

config = MonitorConfig(
    log_path="/var/log/perf-reports",
    notice_list=[
        {
            "type": "email",
            "format": "html",  # or "text"
            "smtp_host": "smtp.example.com",
            "smtp_port": 587,
            "username": "alerts@example.com",
            "password": "your-password",
            "sender": "alerts@example.com",
            "recipients": ["dev@example.com", "ops@example.com"],
            "use_tls": True,
            "subject_prefix": "[Perf Alert]"
        }
    ]
)

Email Configuration Options:

Function-Level Profiling

from web_perfmonitor import profile

@profile()
def slow_operation():
    # Time-consuming operation
    time.sleep(2)

@profile(threshold=0.1)  # Custom threshold
def critical_function():
    # Critical operation
    pass

URL Filtering

Whitelist (monitor only specified URLs)

config = MonitorConfig(
    url_whitelist=[
        "/api/*",       # Monitor all /api/* endpoints
        "/v1/users",    # Exact match
    ]
)

Blacklist (exclude specified URLs)

config = MonitorConfig(
    url_blacklist=[
        "/health",      # Exclude health checks
        "/metrics",     # Exclude metrics endpoint
        "/static/*",    # Exclude static files
    ]
)

Note: Whitelist takes precedence over blacklist.

Configuration Reference

Extending

Custom Notifier

from web_perfmonitor.notifiers import BaseNotifier, register_notifier

@register_notifier("slack")
class SlackNotifier(BaseNotifier):
    def __init__(self, webhook_url: str, **kwargs):
        super().__init__(**kwargs)
        self.webhook_url = webhook_url

    def send(self, profile, format="markdown"):
        # Implement Slack notification
        ...

    def validate_config(self) -> bool:
        return bool(self.webhook_url)

Custom Framework Adapter

from web_perfmonitor.core import FrameworkRegistry, BaseAdapter

@FrameworkRegistry.register("django")
class DjangoAdapter(BaseAdapter):
    # Implement Django-specific adapter
    ...

Requirements

• Python 3.8+
• Flask 2.0+ or FastAPI 0.100+
• pyinstrument 4.0+

License

MIT License - see LICENSE for details.

Contributing

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