<!--
Copyright (C) Daniel Stenberg, <daniel@haxx.se>, et al.

SPDX-License-Identifier: curl
-->

# scorecard.py

This is an internal script in `tests/http/scorecard.py` used for testing
curl's performance in a set of cases. These are for exercising parts of
curl/libcurl in a reproducible fashion to judge improvements or detect
regressions. They are not intended to represent real world scenarios
as such.

This script is not part of any official interface and we may change it in
the future according to the project's needs.

## setup

When you are able to run curl's `pytest` suite, scorecard should work for you
as well. They start a local Apache httpd or Caddy server and invoke the
locally build `src/curl` (by default).

## invocation

A typical invocation for measuring performance of HTTP/2 downloads would be:

```sh
curl> python3 tests/http/scorecard.py -d h2
```

and this prints a table with the results. The last argument is the protocol to
test and it can be `h1`, `h2` or `h3`. You can add `--json` to get results in
JSON instead of text.

Help for all command line options are available via:

```sh
curl> python3 tests/http/scorecard.py -h
```

## scenarios

Apart from `-d/--downloads` there is `-u/--uploads` and `-r/--requests`. These
are run with a variation of resource sizes and parallelism by default. You can
specify these in some way if you are just interested in a particular case.

For example, to run downloads of a 1 MB resource only, 100 times with at max 6
parallel transfers, use:

```sh
curl> python3 tests/http/scorecard.py -d --download-sizes=1mb --download-count=100 --download-parallel=6 h2
```

Similar options are available for uploads and requests scenarios.

## sockd

If you have configured curl with `--with-test-danted=<danted-path>` for a
`dante-server` installed on your system, you can provide the scorecard
with arguments `--socks4` or `--socks5` to test performance with a SOCKS proxy
involved. (Note: this does not work for HTTP/3)

## flame graphs

With the excellent [Flame Graph](https://github.com/brendangregg/FlameGraph)
by Brendan Gregg, scorecard can turn `perf`/`dtrace` samples into an
interactive SVG. Either clone the `Flamegraph` repository next to your `curl`
project or set the environment variable `FLAMEGRAPH` to the location of your
clone. Then run scorecard with the `--flame` option, like

```sh
curl> FLAMEGRAPH=/Users/sei/projects/FlameGraph python3 tests/http/scorecard.py \
   -r --request-count=50000 --request-parallels=100 --samples=1 --flame h2
```

and the SVG of the run is in `tests/http/gen/curl/curl.flamegraph.svg`. You
can open that in Firefox and zoom in/out of stacks of interest.

The flame graph is about the last run of `curl`. That is why you should add
scorecard arguments that restrict measurements to a single run.

### Measures/Privileges

The `--flame` option uses `perf` on linux and `dtrace` on macOS. Since both
tools require special privileges, they are run via the `sudo` command by
scorecard. This means you need to issue a `sudo` recently enough before
running scorecard, so no new password check is needed.

There is no support right now for measurements on other platforms.
