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https://github.com/vpcarlos/profyle

Development tool for analysing and managing python traces
https://github.com/vpcarlos/profyle

api asgi fastapi flask http middleware perfetto profile profyle python python3 trace tracing viztracer

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Development tool for analysing and managing python traces

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Profyle

### Development tool for analysing and managing python traces
[![Tests](https://github.com/vpcarlos/profyle/actions/workflows/test.yml/badge.svg)](https://github.com/vpcarlos/profyle/actions/workflows/test.yml)

Package version


Supported Python versions

## 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

```console
$ 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](https://en.wikipedia.org/wiki/Glob_(programming)) | `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

```Python
from fastapi import FastAPI
from profyle.fastapi import ProfyleMiddleware

app = FastAPI()
# Trace all requests
app.add_middleware(ProfyleMiddleware)

@app.get("/")
async def root():
return {"hello": "world"}
```

```Python
from fastapi import FastAPI
from profyle.fastapi import ProfyleMiddleware

app = FastAPI()
# Trace all requests that match that start with /users
# with a minimum duration of 100ms and a maximum stack depth of 20
app.add_middleware(
ProfyleMiddleware,
pattern="/users*",
max_stack_depth=20,
min_duration=100
)

@app.get("/users/{user_id}")
async def get_user(user_id: int):
return {"hello": "user"}
```

Flask

```Python
from flask import Flask
from profyle.flask import ProfyleMiddleware

app = Flask(__name__)

app.wsgi_app = ProfyleMiddleware(app.wsgi_app, pattern="*/api/products*")

@app.route("/")
def root():
return "

Hello, World!

"
```

Django

```Python
# settings.py

MIDDLEWARE = [
...
"profyle.django.ProfyleMiddleware",
...
]
```

### 2. Run
* Run the web server:

```console
$ profyle start

INFO: 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:

![Alt text](https://github.com/vpcarlos/profyle/blob/main/docs/img/traces.png?raw=true "Traces")

### 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

![Alt text](https://github.com/vpcarlos/profyle/blob/main/docs/img/trace1.png?raw=true "Trace1")

![Alt text](https://github.com/vpcarlos/profyle/blob/main/docs/img/trace2.png?raw=true "Trace2")

## 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 |

```console
$ profyle start --port 5432

INFO: 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

```console
$ profyle clean

10 traces removed
```

### check
* Check traces DB size

```console
$ profyle check

DB size: 30MB
```