beer.db
- Using Open Beer & Brewery Data in Rubybeer.db
?breweries.txt
beers.txt
beer.db
in Rubyworld.db
?beer.db
& world.db
in RubyGET /beer/guinness
beer.db
?A free open public domain beer database & schema for use in any (programming) language
(e.g. uses plain text fixtures/data sets)
### Brewery
guinness, St. James's Gate Brewery / Guinness Brewery, 1759, D, city:dublin
### Beer
Guinness|Guinness Draught, 4.2%, by:guinness, irish_dry_stout|dry_stout|stout
breweries.txt
##############################
# Wien
ottakringer, Ottakringer Brauerei, 1838, W, city:wien, »
« 1160 Wien // Ottakringer Straße 91
###########################
# Niederösterreich
zwettler, Zwettler Brauerei, 1709, NÖ, city:zwettl, »
« 3910 Zwettl // Syrnauer Straße 22-25
weitra, Weitra Bräu Bierwerkstatt, 1321, NÖ, city:weitra, »
« 3970 Weitra // Sparkasseplatz 160, zwettler
Source: europe/at/breweries.txt
beers.txt
Ottakringer Helles, 5.2 %, 11.8°, by:ottakringer
Ottakringer Gold Fassl Spezial, 5.6 %, 12.7°, by:ottakringer
Ottakringer (Gold Fassl) Pur, 5.2 %, 11.8°, by:ottakringer, bio
Ottakringer (Gold Fassl) Pils, 4.6 %, 11.2°, by:ottakringer
Ottakringer (Gold Fassl) Zwickl, 5.2 %, 12.2°, by:ottakringer
Zwettler Original, 5.1 %, 11.9°, by:zwettler
Zwettler Pils, 4.9 %, 11.5°, by:zwettler
Zwettler Zwickl, 5.5 %, 12.5°, by:zwettler
Zwettler Dunkles, 3.4 %, 11.5°, by:zwettler
Weitra Helles, 5.0 %, 11.8°, by:weitra
Hadmar, 5.2 %, 12.5°, by:weitra, bio
Source: europe/at/beers.txt
beer.db
in RubyBrewery Model
by = Brewery.find_by_key( 'guinness' )
by.title
=> 'St. James's Gate Brewery / Guinness Brewery'
by.country.key
=> 'ie'
by.country.title
=> 'Irland'
by.city.title
=> 'Dublin'
by.beers.first
=> 'Guinness', 4.2
...
beer.db
in Ruby (Cont.)Beer Model
b = Beer.find_by_key( 'guinness' )
b.title
=> 'Guinness'
b.abv
=> 4.2
b.tags
=> 'irish_dry_stout', 'dry_stout', 'stout'
b.brewery.title
=> 'St. James's Gate Brewery / Guinness Brewery'
...
world.db
?A free open public domain world database & schema for use in any (programming) language
(e.g. uses plain text fixtures/data sets)
### Countries
at, Austria, AUT, 83_871 km², 8_414_638, un|eu|euro|schengen|central_europe|western_europe
### Regions (States/Länder/Provinces)
w, Wien [Vienna], 415 km², eastern austria
### Cities
Wien [Vienna], W, 1_731_236, m:1_724_000
beer.db
& world.db
in RubyCountry Model
at = Country.find_by_key( 'at' )
at.title
=> 'Austria'
at.regions.count
=> 9
at.beers
=> 'Weitra Helles', 'Hadmar', 'Zwettler Original', ...
at.breweries
=> 'Weitra Bräu Bierwerkstatt', 'Zwettler Brauerei', ...
...
beer.db
& world.db
in Ruby (Cont.)City Model
wien = City.find_by_key( 'wien' )
wien.title
=> 'Wien'
wien.beers
=> 'Ottakringer Helles', 'Ottakringer (Gold Fassl) Zwickl', ...
wien.breweries
=> 'Ottakringer Brauerei'
...
GET /beer/guinness
Get beer by key /beer/:key
GET /beer/guinness
{
"beer":
{
"key":"guinness",
"title":"Guinness",
"synonyms": "Guinness Draught",
"abv":"4.2",
"srm":null,
"og":null,
"tags":["irish_dry_stout","dry_stout","stout"],
"brewery":
{
"key": "guinness",
"title": "St. James's Gate Brewery / Guinness Brewery"
},
"country":
{
"key":"ie",
"title":"Irland"
}
}
}
GET /brewery/guinness
Get brewery by key /brewery/:key
GET /brewery/guinness
{
"brewery":
{
"key": "guinness",
"title": "St. James's Gate Brewery / Guinness Brewery",
"synonyms": null,
"since": 1759,
"address": "St. James's Gate // Dublin",
"tags": ["diageo"],
"beers":
[
{
"key": "guinness",
"title": "Guinness"
}
],
"country":
{
"key": "ie",
"title": "Irland"
}
}
}
What's great with CSV?
What's wrong with CSV?
guinness
)europe/at
sets continent to europe
and country to at
beers.2.txt
sets type/class to beer
and grade to 2
Do NOT put everything into a single file e.g. beers.csv
. Better use folders
and use folder and file names for adding some "magic" e.g. to autofill values
e.g. set values for continent, country, city, district, etc. Example:
beer.db
:
europe/
at/
beers.txt
beers.2.txt
breweries.txt
breweries.2.txt
...
north-america/
mx/
beers.txt
breweries.txt
...
pacific/
au/
...
...
or
wien.db
:
1-innere-stadt/
brewpubs.txt
cafes.txt
cinemas.txt
2-leopoldstadt/
...
3-landstraße/
...
e.g. 1759 or 1321
Always four digits => /[0-9]{4}/
e.g. TX => Texas, or N => Niederösterreich
Always one or two uppercase letters => /[A-Z]{1,2}/
e.g. 5.4% => 5.4
Numbers ending with precent (%) => /[0-9]+(\.[0-9]+)?%/
And many more text patterns in use.
Use the HTTP API service and export your data in your format of choice.