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https://github.com/mrichman/hargo

Hargo is a Go library and command line utility that parses HAR files, can convert to curl format, and serve as a load test driver.
https://github.com/mrichman/hargo

chronograf curl go golang grafana har har-files http http-request http-requests influxdb load-testing performance-testing

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Hargo is a Go library and command line utility that parses HAR files, can convert to curl format, and serve as a load test driver.

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# Hargo

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Hargo parses [HAR](https://en.wikipedia.org/wiki/.har) files, can convert to curl format, and serve as a load test driver.

```text
NAME:
hargo - work with HTTP Archive (.har) files

USAGE:
hargo [arguments] <.har file>

VERSION:
0.1.2-dev.57 (da53069)

AUTHOR:
Mark A. Richman

COMMANDS:
fetch, f Fetch URLs in .har
curl, c Convert .har to curl
run, r Run .har file
validate, v Validate .har file
dump, d Dump .har file
load, l Load test .har file
help, h Shows a list of commands or help for one command

GLOBAL OPTIONS:
--debug Show debug output
--help, -h show help
--version, -v print the version

COPYRIGHT:
(c) 2022 Mark A. Richman
```

## Building and Running Hargo

```sh
git clone https://github.com/mrichman/hargo.git
cd hargo
make install
hargo validate test/golang.org.har
```

## About HAR Files

If you use Google Chrome, you can record these files by following the steps below:

1. Right-click anywhere on that page and click on Inspect Element to open Chrome's Developer Tools
2. The Developer Tools will open as a panel at the bottom of the page. Click on the Network tab.
3. Click the Record button, which is the solid black circle at the bottom of the Network tab, and you'll start recording activity in your browser.
4. Refresh the page and start working normally
5. Right-click within the Network tab and click Save as HAR with Content to save a copy of the activity that you recorded.
6. Within the file window, save the HAR file.

## Commands

### Fetch

The `fetch` command downloads all resources references in .har file:

`hargo fetch foo.har`

This will produce a directory named `hargo-fetch-yyyymmddhhmmss` containing all assets references by the .har file. This is similar to what you'd see when invoking `wget` on a particular URL.

### Curl

The `curl` command will output a [curl](https://curl.haxx.se/) command line for each entry in the .har file.

`hargo curl foo.har`

### Run

The `run` command executes each HTTP request in .har file:

`hargo run foo.har`

This is similar to `fetch` but will not save any output.

### Validate

The `validate` command will report any errors in the format of a .har file.

`hargo validate foo.har`

HAR file format is defined here:

### Dump

Dump prints information about all HTTP requests in .har file

`hargo dump foo.har`

### Load

Hargo can act as a load test agent. Given a .har file, hargo can spawn a number of concurrent workers to repeat each HTTP request in order. By default, hargo will spawn 10 workers and run for a duration of 60 seconds.

Hargo will also save its results to [InfluxDB](https://www.influxdata.com/), if available. Each HTTP response is stored as a point of time-series data, which can be graphed by [Chronograf](https://www.influxdata.com/time-series-platform/chronograf/), [Grafana](http://grafana.org/), or similar visualization tool for analysis.

## Docker

### Build container

```docker
docker build -t hargo .
```

### Run container

```docker
docker run --rm -v `pwd`/test:/test hargo hargo run /test/golang.org.har
```

## Docker-compose

The example docker-compose file will start three containers:

- hargo
- influxdb
- grafana

The hargo container will first needs to be built. See [build](#build-container). When the compose file is run it will start a hargo load process that will write the results to InfluxDB. This InfluxDB instance can be viewed using the [grafana container](http://localhost:3000). This contains an example dashboard showing the latency of the executed request. Username/password for all the containers is hargo/hargo.

### commands

```docker-compose
cd example/docker-compose
docker-compose up
docker-compose down -v
```