Calculate Response Time

[liewsw28]

Hi, 

I wonder how to calculate a response time for an entire Django project from where the user input the search criteria until the information are loaded and displayed onto the page. Please advise.

Thanks.

[Jason]

you can use an extension like https://chrome.google.com/webstore/detail/page-load-time/fploionmjgeclbkemipmkogoaohcdbig?hl=en to see how long a page takes to load

you can also use https://github.com/django-silk/silk to see the time queries take to execute

but the biggest factor will be using your browser dev tools network tab to see the actual request/response time for all your resources.

[Larry Martell]

I had a need for this as well, and here is what I did. I split each
request up into 4 parts: Query Time, Process Time, Render Time, and
Network Latency. On the server I have a class all my request handlers
subclass and inherit from. That class has a method for getting the
data from the db and a method for processing the data before sending
the response. The execution of those 2 are grossly timed like this:

start = time.time()
data = self.get_data()
self._query_time = time.time() - start

start = time.time()
processed_data = self.postprocess_data(data)
self._processing_time = time.time() - start

These values are written to the db, and the id of the row is sent in
the context as pull_id. (Also written to the table is the URL, the
user and the datetime.)

On the client side I use the PerformanceTiming module
(https://w3c.github.io/perf-timing-primer/). I have a base template
that all my templates extend from and that has this code:

var t = performance.timing;
var render_time = parseInt(t.loadEventEnd) - parseInt(t.responseEnd);
var network_latency = parseInt(t.responseEnd) - parseInt(t.fetchStart);
var pull_id = {{ pull_id }};
$.ajax({url: 'metrics/' + pull_id + '/' + render_time + '/' +
network_latency});

The metrics handler adds the render_time and network_latency to the
row that the server inserted.

And we have a URL that only admins can access that queries this
metrics table and we can see who ran what when and how long each took.

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