Profiler-Flask 0.1.0

Monitor and analyze flask endpoint and request performance.

Intruduction

Profiler-Flask comes from the refactoring of flask-profiler, and I would like to express my heartfelt thanks to its author @muatik for his open source spirit and excellent code.

The project beautifies the front-end interface on the basis of flask-profiler, and is basically consistent with its function.

With the web interface, You can monitor all your endpoints' performance you want to monitor and check the performance of endpoints and requests through filters.

Screenshots

Dashboard view

You can create filters to investigate certain type requests.

You can see all the details of a request.

Installation

use pdm

pdm add profiler-flask

use pip

pip install profiler-flask

Example

This is an example. Let's dive in.

from flask import Flask
import flask_profiler


app = Flask(__name__)
app.config["DEBUG"] = True
app.config["profiler"] = {
    "storage": {"engine": "sqlite"},
    "basicAuth": {"enabled": True, "username": "admin", "password": "admin"},
    "ignore": ["^/static/.*"],
}

@app.route("/product/<id>", methods=["GET"])
def getProduct(id):
    return f"product id is {id}"


@app.route("/product/<id>", methods=["PUT"])
def updateProduct(id):
    return f"product {id} is being updated"


@app.route("/products", methods=["GET"])
def listProducts():
    return "suppose I send you product list..."

flask_profiler.init_app(app)

# 也可以使用装饰器的方法使用
@app.route("/doSomethingImportant/<id>", methods=["GET"])
@flask_profiler.profile()
def doSomethingImportant(id):
    return "profiler will measure this request."

Now, run your flask app.

Using with different database system

You can use profiler-flask with Sqlite database systems.

SQLite

In order to use SQLite, just specify it as the value of storage.engine directive as follows.

app.config["profiler"] = {
    "storage": {
        "engine": "sqlite",
    }
}

Below the other options are listed.

Filter key	Description	Default
storage.FILE	SQLite database file name	flask_profiler.sql
storage.TABLE	table name in which profiler data will reside	measurements

Sampling

Control the number of samples taken by profiler-flask

You would want control over how many times should the profiler-flask take samples while running in production mode. You can supply a function and control the sampling according to your business logic.

Example 1: Sample 1 in 100 times with random numbers

app.config["profiler"] = {
    "sampling_function": lambda: True if random.sample(list(range(1, 101)), 1) == [42] else False
}

Example 2: Sample for specific users

app.config["profiler"] = {
    "sampling_function": lambda: True if user is 'Dumblidore' else False
}

If sampling function is not present, all requests will be sampled.

Changing profiler-flask endpoint root

By default, we can access profiler-flask at /profiler, but you can change the endpoint root.

Example:

app.config["profiler"] = {
        "endpointRoot": "profiler-flask"
}

the endpoint root will be changed to /profiler-flask.

Ignored endpoints

Profiler-Flask will try to track every endpoint defined so far when init_app() is invoked. If you want to exclude some of the endpoints, you can define matching regex for them as follows:

app.config["profiler"] = {
        "ignore": [
	        "^/static/.*",
	        "/api/users/\w+/password"
        ]
}

License

This project is licensed under the MIT License (see the LICENSE file for details). Some macros were part of Flask-Profiler and were modified under the terms of its MIT License.