Development tool for analysing and managing python traces

Why do you need Profyle?

Bottlenecks

With Profyle you can easily detect where in your code you have a bottleneck, simply analyze the trace and see what function or operation is taking most of the execution time of the request

Enhance performace

Analyze the traces and decide which parts of your code should be improved

Installation

$ pip install profyle---> 100%

Example

1. Implement

In order to track all your API requests you must implement the ProfyleMiddleware

ProfyleMiddleware

Attribute	Required	Default	Description	ENV Variable
enabled	No	True	Enable or disable Profyle	PROFYLE_ENABLED
pattern	No	None	0nly trace those paths that match with pattern	PROFYLE_PATTERN
max_stack_depth	No	-1	Limit maximum stack trace depth	PROFYLE_MAX_STACK_DEPTH
min_duration	No	0 (milisecons)	Only record traces with a greather duration than the limit.	PROFYLE_MIN_DURATION

FastAPI

fromfastapiimportFastAPIfromprofyle.fastapiimportProfyleMiddlewareapp=FastAPI()
# Trace all requestsapp.add_middleware(ProfyleMiddleware)
@app.get("/")asyncdefroot():
return {"hello": "world"}

fromfastapiimportFastAPIfromprofyle.fastapiimportProfyleMiddlewareapp=FastAPI()
# Trace all requests that match that start with /users # with a minimum duration of 100ms and a maximum stack depth of 20app.add_middleware(
ProfyleMiddleware,
pattern="/users*",
max_stack_depth=20,
min_duration=100
)
@app.get("/users/{user_id}")asyncdefget_user(user_id: int):
return {"hello": "user"}

Flask

fromflaskimportFlaskfromprofyle.flaskimportProfyleMiddlewareapp=Flask(__name__)
app.wsgi_app=ProfyleMiddleware(app.wsgi_app, pattern="*/api/products*")
@app.route("/")defroot():
return"<p>Hello, World!</p>"

Django

# settings.pyMIDDLEWARE= [
...
"profyle.django.ProfyleMiddleware",
...
]

2. Run

• Run the web server:

$ profyle startINFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)INFO: Started reloader process [28720]INFO: Started server process [28722]INFO: Waiting for application startup.INFO: Application startup complete.

3. List

• List all requests tracing:

4. Analyze

• Profyle stands on the shoulder of giants: Viztracer and Perfetto
• Detailed function entry/exit information on timeline with source code
• Super easy to use, no source code change for most features, no package dependency
• Supports threading, multiprocessing, subprocess and async
• Powerful front-end, able to render GB-level trace smoothly
• Works on Linux/MacOS/Window

CLI Commands

start

• Start the web server and view profile traces

Options	Type	Default	Description
--port	INTEGER	0	web server port
--host	TEXT	127.0.0.1	web server host

$ profyle start --port 5432INFO: Uvicorn running on http://127.0.0.1:5432 (Press CTRL+C to quit)INFO: Started reloader process [28720]INFO: Started server process [28722]INFO: Waiting for application startup.INFO: Application startup complete.

clean

• Delete all profile traces

$ profyle clean10 traces removed 

check

• Check traces DB size

$ profyle checkDB size: 30MB