Videos of FIRST Robotics matches, recorded automatically & uploaded in minutes
Live at @FRC_replay and @FTC_replay
The matchobserver/ subsystem handles detecting match start/stop and extracting information from
the FIRST match overlay when present. matchobserver/__init__.py sets up a framework for
game-specific plugins like matchobserver/frc2017/ and matchobserver/ftc2017.py to hook into.
streamconnector.py manages the connection to an event's Twitch video stream.
videohandler.py takes care of uploading recorded match videos to
Streamable and posting the corresponding links to
Twitter.
matchrecorder.py brings all of these parts together and tracks the current match state.
matchrecorder.service contains a template
systemd unit file for supervising an instance
of the FRC Replay software.
tessdata directories contain pre-trained
Tesseract OCR configurations for scraping text from
the FIRST match overlay in the video stream frames.
Deployment-related scripts live in the scripts/ directory.
docker-machine is used to provision, manage, and tear down
server infrastructure running the FRC Replay software, though Docker itself is not used. You'll
also need the docker-machine-vultr plugin for
deploying to Vultr.
Before deploying, you'll need to create a credentials.json file in the following format for
posting to Twitter:
{
"twitter": {
"<username>": {
"consumer_key": "<consumer key>",
"consumer_secret": "<consumer secret>",
"access_token_key": "<access token key>",
"access_token_secret": "<access token secret>"
}
}
}You'll also need to sign up for a Vultr account and obtain your API key from
the control panel. Then create a scripts/credentials.sh file in the following format:
VULTR_API_KEY='<vultr api key>'Finally, you'll want to set up a scripts/events.sh file with a configuration line for each event
you'll be covering. A separate server will be provisioned for each of these, at $0.007/hour at the
time of writing (check the Vultr pricing page for up-to-date
information). The configuration format is as follows:
event '<event hashtag>' '<Twitch username for livestream>' '<Twitter account username to post to>' '<game type such as FRC-2017>' "$1"scripts/provision builds the server infrastructure for all configured events.
scripts/teardown destroys said infrastructure. Note this will only destroy servers which were
created from configuration lines still in your events.sh!
scripts/deploy updates the copy of the code on the provisioned server(s) and (re)starts the
service.
scripts/tail streams the log output of the FRC Replay instance(s) running on your provisioned
server(s).
All of the above operate on all configured events by default, but can also take an event hashtag parameter to operate just on that event (eg. scripts/deploy ArchimedesSTL).
scripts/log <event hashtag> fetches a snapshot of the corresponding log output and prints it out.
scripts/status <event hashtag> prints the status of the corresponding FRC Replay instance.
The following applies to the system running the FRC Replay software. The deployment scripts take care of properly preparing the servers they provision.
Python 3 is required.
The requirements.txt file can be used with pip install -r to set up the required Python
dependencies.
The software will also expect a Tesseract binary at
/usr/bin/tesseract and an FFmpeg binary at /usr/bin/ffmpeg.
Copyright (C) 2017 Michael Smith <[email protected]>
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see http://www.gnu.org/licenses/.