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racingdb

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racingdb - sport.db addon for racing (e.g. formula 1, tour de france, ski racing, marathons, etc.)
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 Dependencies

Development

~> 3.11
~> 4.0
 Project Readme

sport.db Tools & Scripts

Open Sport(s) Data (Football, Alpine Ski, Formula 1, etc.) Tools & Scripts

GitHub // Guides // Datasets

Command Line Tools • Scripting • Services (HTTP JSON APIs)

Quick Starter Guides

See the football.db League Starter Sample - Mauritius Premier League if you want to start from scratch (zero) with your very own league.

See the football.db Quick Starter Datafile Templates if you want to read in ready-to-use / ready-to-fork dataset packages incl. the English Premier League, the German Bundesliga, the Spanish Primera División and some more.

Command Line Tools

sportdb - sport.db Command Line Tool

The sportdb tool lets you read in (parse) datasets (e.g. leagues, clubs, match schedules, etc.) in plain text into your sports SQL database of choice (e.g. SQLite, PostgreSQL, etc.)

SYNOPSIS
    sportdb [global options] command [command options] [arguments...]

VERSION
    2.0

GLOBAL OPTIONS
    -d, --dbpath=PATH - Database path (default: .)
    -n, --dbname=NAME - Database name (default: sport.db)
    --verbose         - (Debug) Show debug messages
    --version         - Show version

COMMANDS
    new, n        - Build DB w/ quick starter Datafile templates
    build, b      - Build DB (download/create/read); use ./Datafile - zips get downloaded to ./tmp
    serve, server - Start web service (HTTP JSON API)

MORE COMMANDS    
    create        - Create DB schema
    download, dl  - Download datasets; use ./Datafile - zips get downloaded to ./tmp
    read, r       - Read datasets; use ./Datafile - zips required in ./tmp
    logs          - Show logs
    props         - Show props
    stats         - Show stats
    test          - (Debug) Test command suite
    help          - Shows a list of commands or help for one command

new Command

NAME
    new - Build DB w/ quick starter Datafile templates
SYNOPSIS
    sportdb [global options] new NAME

EXAMPLES
    sportdb new eng2019-20
    sportdb new eng

build Command

NAME
    build - Build DB (download/create/read); use ./Datafile - zips get downloaded to ./tmp

SYNOPSIS
    sportdb [global options] build

EXAMPLES
    sportdb build

serve Command

NAME
    serve - Start web service (HTTP JSON API)

SYNOPSIS
    sportdb [global options] serve

EXAMPLES
    sportdb serve

More documentation »

Scripting

Reading Match Datasets in (Structured) Text

Step 1

Setup the (SQL) database. Let's use and build a single-file SQLite database (from scratch), as an example:

require 'sportdb/readers'

SportDb.connect( adapter:  'sqlite3',
                 database: './england.db' )
SportDb.create_all       ## build database schema (tables, indexes, etc.)

Step 2

Let's read in some leagues, seasons, clubs, and match schedules and results. Let's use the public domain football.db datasets for England (see openfootball/england), as an example:

= English Premier League 2015/16

Matchday 1

[Sat Aug 8]
  Manchester United      1-0  Tottenham Hotspur
  AFC Bournemouth        0-1  Aston Villa
  Everton FC             2-2  Watford FC
  Leicester City         4-2  Sunderland AFC
  Norwich City           1-3  Crystal Palace
  Chelsea FC             2-2  Swansea City
[Sun Aug 9]
  Arsenal FC             0-2  West Ham United
  Newcastle United       2-2  Southampton FC
  Stoke City             0-1  Liverpool FC
[Mon Aug 10]
  West Bromwich Albion   0-3  Manchester City

...

(Source: england/2015-16/1-premierleague-i.txt)

and let's try:

## assumes football.db datasets for England in ./england directory
##   see github.com/openfootball/england
SportDb.read( './england/2015-16/1-premierleague-i.txt' )
SportDb.read( './england/2015-16/1-premierleague-ii.txt' )

## let's try another season
SportDb.read( './england/2019-20/1-premierleague.txt' )

All leagues, seasons, clubs, match days and rounds, match fixtures and results, and more are now in your (SQL) database of choice.

Bonus: As an alternative pass in the "package" directory or a zip archive and let read figure out what datafiles to read in:

## assumes football.db datasets for England in ./england directory
##   see github.com/openfootball/england
SportDb.read( './england' )
## -or-   use a zip archive download
SportDb.read( './england.zip' )

More documentation »

Reading Match Datasets in Comma-Separated Values (CSV) Format

Step 1

Setup the (SQL) database. Let's use and build a single-file SQLite database (from scratch), as an example:

require 'sportdb/importers'

SportDb.connect( adapter:  'sqlite3',
                 database: './england.db' )
SportDb.create_all       ## build database schema (tables, indexes, etc.)

Step 2

Let's use the public domain football.csv datasets for England (see footballcsv/england), as an example:

Round, Date,              Team 1,               FT,  HT,  Team 2
1,     (Fri)  9 Aug 2019, Liverpool FC,         4-1, 4-0, Norwich City FC
1,     (Sat) 10 Aug 2019, West Ham United FC,   0-5, 0-1, Manchester City FC
1,     (Sat) 10 Aug 2019, AFC Bournemouth,      1-1, 0-0, Sheffield United FC
1,     (Sat) 10 Aug 2019, Burnley FC,           3-0, 0-0, Southampton FC
1,     (Sat) 10 Aug 2019, Crystal Palace FC,    0-0, 0-0, Everton FC
1,     (Sat) 10 Aug 2019, Watford FC,           0-3, 0-1, Brighton & Hove Albion FC
1,     (Sat) 10 Aug 2019, Tottenham Hotspur FC, 3-1, 0-1, Aston Villa FC
1,     (Sun) 11 Aug 2019, Leicester City FC,    0-0, 0-0, Wolverhampton Wanderers FC
1,     (Sun) 11 Aug 2019, Newcastle United FC,  0-1, 0-0, Arsenal FC
1,     (Sun) 11 Aug 2019, Manchester United FC, 4-0, 1-0, Chelsea FC
...

(Source: england/2019-20/eng.1.csv)

and let's try:

## assumes football.csv datasets for England in ./england directory
##   see github.com/footballcsv/england
SportDb.read_csv( './england/2019-20/eng.1.csv' )

## let's try another season
SportDb.read_csv( './england/2018-19/eng.1.csv' )
SportDb.read_csv( './england/2018-19/eng.2.csv' )

All leagues, seasons, clubs, match days and rounds, match fixtures and results, and more are now in your (SQL) database of choice.

Bonus: Let's import all datafiles for all seasons (from 1888-89 to today) for England, use:

## note: requires a local copy of the football.csv england datasets
##          see https://github.com/footballcsv/england
SportDb.read_csv( './england' )
# -or-    use a zip archive
SportDb.read_csv( './england.zip' )

Frequently Asked Questions (FAQ) and Answers

Q: What CSV formats can I use?

For now the importers support two flavors.

Alternative 1) One league and season per datafile and the basename (e.g. eng.1 ) holds the league code and the directory (e.g. 2019-20) the season.

Matchday, Date,            Time,  Team 1,    FT,  Team 2
1,        Fri Aug 9 2019,  20:00, Liverpool, 4-1, Norwich City
1,        Sat Aug 10 2019, 12:30, West Ham,  0-5, Manchester City
...

Alternative 2) Any or many leagues or seasons per datafile, for example, week by week (see /updates) or year by year (see /internationals).

Date,            League, Team 1,             FT,  Team 2
Wed Jun 10 2020, DE 3,   SpVgg Unterhaching, 1-3, Eintracht Braunschweig
Thu Jun 11 2020, AT 2,   FC Blau-Weiß Linz,  1-2, Austria Klagenfurt
Thu Jun 11 2020, ES 1,   Sevilla FC,         2-0, Real Betis
...

Note: For now the convention is that the datafile basename MUST be all numbers, that is, 0 to 9 (plus - or _) e.g. 01 (as in 2020/01.csv) or 2020 (as in 2000s/2020.csv).

Q: What codes or names for league & cups can I use?

The importers ship with hundreds of zero-config preconfigured code and names for leagues & cups. See the /leagues datasets for all builtin national and international football club leagues & cups from around the world.

Or to query in ruby try:

require `sportdb/config`

LEAGUES = SportDb::Import.catalog.leagues

LEAGUES.find( 'ENG 1' )      #=> Premier League   › England
LEAGUES.find( 'EPL' )        #=> Premier League   › England
LEAGUES.find( 'ENG 2' )      #=> Championship     › England
LEAGUES.find( 'ENG CS' )     #=> Championship     › England
LEAGUES.find( 'ES' )         #=> Primera División › Spain
LEAUGES.find( 'ESP 1')       #=> Primera División › Spain
...

More documentation »

Services (HTTP JSON APIs)

You can run any of the HTTP JSON API (web service) scripts using the sportdb command line tool. By default the serve command will look for a script named Service or service.rb (in the working folder, that is, ./). Example:

$ sportdb serve

To run any other script - copy the script into the working folder and pass it along as an argument. Example:

$ sportdb serve starter      #  note: will (auto-)add the .rb extension  or
$ sportdb serve starter.rb

More documentation »

Questions? Comments?

Send them along to the Open Sports & Friends Forum/Mailing List. Thanks!