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Script to automatically upload new files appearing in a directory to sc2replaystats.

Project description

sc2replaystats_uploader

image main Documentation Status

Script to automatically upload new StarCraft II replays appearing in a directory to sc2replaystats.

Installation

Just pip install sc2replaystats_uploader!

Usage

The parameters are documented:


dominik@dell ~/Code/sc2replaystats_uploader % sc2replaystats_uploader --help                                                                                                             [0]
Usage: sc2replaystats_uploader [OPTIONS]

  Console script for sc2replaystats_uploader.

Options:
  --auth TEXT     sc2replaystats authorization key; find it in
                  https://sc2replaystats.com/account/settings -> API Access
                  [required]

  --path PATH     Directories in which to find replays. You can put multiple
                  such options here. If using multiple in an environment
                  variable, separate them with a colon ':'.  [required]

  --help          Show this message and exit.

You can either put them in as flags:


sc2replaystats_uploader --auth "AUTHKEYGOESHERE" --path "EU_REPLAY_DIR" --path "US_REPLAY_DIR"

Or you can use environment variables:

export SC2REPLAYSTATS_AUTH="AUTHKEYGOESHERE"
export SC2REPLAYSTATS_PATH="EU_REPLAY_DIR:US_REPLAY_DIR"
sc2replaystats_uploader

You can exit through Control-C.

Usage with Lutris

I launch these scripts with SC2 through Lutris. In "System options", set a path to a pre-launch script to an executable Bash file containing the following:

#!/usr/bin/bash
# do other stuff, Toggl tracking, etc
export SC2REPLAYSTATS_AUTH="AUTHKEYGOESHERE"
export SC2REPLAYSTATS_PATH="EU_REPLAY_DIR:US_REPLAY_DIR"
sc2replaystats_uploader

Then, to shut the script down, have a post-exit script that goes

#!/usr/bin/bash
pkill -f sc2replaystats_uploader

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2020-08-25)

  • First release on PyPI.

Project details


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