semvec/pypi-packages huggingface dataset:
django-performance-monitor 1.0.0
A simple django applications to log the response time greater than a threshold value
Requires Python: >=3.6

# Django Performance Monitor

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/django-performance-monitor) ![PyPI - License](https://img.shields.io/pypi/l/django-performance-monitor) ![PyPI - Django Version](https://img.shields.io/pypi/djversions/djangorestframework)

 Django Performance monitor is simple django application for tracking the view which takes
 more time than a threshold value (By default 1.5 Seconds). Also using a Configuration in 
 admin we turn on or off this feature

## Installation

```bash
$ pip install django-performance-monitor
```

## Requirements
 - Python3.6+

## Usage

 - Add **django_performance_monitor** to the installed app in the settings file, 

```python
    INSTALLED_APPS = (
    # other apps
    "django_performance_monitor",
    )
```
 - Add **django_performance_monitor.middleware.LogRequestMiddleware** to the MIDDLEWARE in the settings,
 ```python
    MIDDLEWARE = [
    #other middlewares
    'django_performance_monitor.middleware.LogRequestMiddleware'
    ]
 
 ```
 - Set the **LOG_THRESHOLD** value above which we need to log the request in settings.py, By default its values is 1.5 Seconds
 ```python
    LOG_THRESHOLD = 2.05
 ```

 - Run **python manage.py migrate**, 
```bash
    $ python manage.py migrate 
```
 All the requests are logged to **Request logs** under the app **DJANGO_PERFORMANCE_MONITOR**
 To disable this logging go to **Config** under the app **DJANGO_PERFORMANCE_MONITOR**, if there is no config object
 create one with **Is active** un checked. If exist change to ** Is active ** to un checked.

## Communication
- If you **find a bug**, open an issue.
- If you **have a feature request**, open an issue.
- If you **want to contribute**, submit a pull request.

## Author

Afsal Salim, afsal@parseltongue.co.in

## License

Django Performance Monitor is available under the MIT license. See the LICENSE file for more info.
cppy 1.2.0
C++ headers for C extension development

Cppy
====

.. image:: https://github.com/nucleic/cppy/actions/workflows/ci.yml/badge.svg
    :target: https://github.com/nucleic/cppy/actions/workflows/ci.yml

A small C++ header library which makes it easier to write Python extension
modules. The primary feature is a PyObject smart pointer which automatically
handles reference counting and provides convenience methods for performing
common object operations.