SearchLingo
SearchLingo is a framework for defining simple, user-friendly query languages and translating them into their underlying queries.
It was originally designed after I found myself implementing the same basic query parsing over and over again across different projects. I wanted a way to simplify the process without having to worry about application-specific aspects of searching.
The way the searches themselves are performed lies outside the scope of this project. Although originally designed to work with basic searching with ActiveRecord models, it should be usable with other data stores provided they let you build complex queries by chaining together simpler queries.
Upgading
Version 2 introduces a breaking change to the parsing workflow. In older
versions, parsers were sent one argument (the token), and were expected to
return an array that would be sent to the scope using #public_send
. The new
version sends the token and the filter chain to the parsers, and they are
expected to append methods to the filter chain and return the result. This
change makes it possible for parsers to make more than one addition to the
filter chain.
After upgrading, your parsers should be upgraded as follows:
# Before
parser do |token|
if token.modifier == 'something'
[:where, { column: token.term }]
end
end
# After
parser do |token, chain|
if token.modifier == 'something'
chain.where column: token.term
end
end
Similar changes will need to be made to your #default_parse
implementation.
# Before
def default_parse(token)
[:where, { column: token }]
end
# After
def default_parse(token, chain)
chain.where column: token
end
If you provided your own implementation of #scope
in your search class to
ensure that certain relations were joined, you may want to revisit the decision
in case the joins can be added only if needed by a particular parser.
Installation
Add this line to your application's Gemfile:
gem 'search_lingo'
And then execute:
$ bundle
Or install it yourself as:
$ gem install search_lingo
Usage
Concrete examples of how to use this gem are provided in examples/
and
test/examples/
, but here is a simple example.
class Task < ActiveRecord::Base
end
class TaskSearch < SearchLingo::AbstractSearch
def default_parse(token, chain)
chain.where 'name LIKE ?', "%#{token}%"
end
end
TaskSearch.new('foo bar', Task.all).results
# => Task.where('name LIKE ?', '%foo%').where('name LIKE ?', '%bar%')
TaskSearch.new('"foo bar"', Task.all).results
# => Task.where('name LIKE ?', '%foo bar%')
And here is a more complex example.
class User < ActiveRecord::Base
has_many :tasks
end
class Category < ActiveRecord::Base
has_many :tasks
end
class Task < ActiveRecord::Base
belongs_to :category
belongs_to :user
enum state: %i[incomplete complete]
end
class TaskSearch < SearchLingo::AbstractSearch
parser do |token, chain|
token.match(/\Ais:\s*(?<state>(?:in)?complete)\z/) do |m|
# Appends a named scope defined by `enum` to filter chain
chain.public_send m[:state].to_sym
end
end
parser do |token, chain|
if token.modifier == 'cat'
# Appends a join and a where clause to the filter chain.
chain.joins(:category).where categories: { name: token.term }
end
end
parser do |token, chain|
token.match(/\A(?<op>[<>])(?<prio>[[:digit:]]+)\z/) do |m|
priority = Task.arel_table[:priority]
if m[:op] == '<'
chain.where priority.lt m[:prio]
else
chain.where priority.gt m[:prio]
end
end
end
def default_parse(token, chain)
chain.where Task.arel_table[:name].matches "%#{token}%"
end
end
TaskSearch.new('cat: foo <2 "bar baz" is: incomplete', Task.all).results
# => Task.all
# -> .joins(:category)
# -> .where(categories: { name: 'foo' })
# -> .where(Task.arel_table[:priority].gt(2))
# -> .where(Task.arel_table[:name].matches('%bar baz%'))
# -> .incomplete
user = User.find 42
TaskSearch.new('is: complete "foo bar"', user.tasks).results
# => user.tasks.complete.where(Task.arel_table[:name].matches('%foo bar%'))
A search class should inherit from SearchLingo::AbstractSearch
, and it should
provide its own implementation of #default_parse
. Register additional parsers
with .parser
as needed.
Instantiate your search class with a query string and the scope on which to
search. Send that instance #results
to compile and execute the search and
return the results.
How It Works
A search is instantiated with a query string and a search scope (such as an ActiveRecord model). The search breaks the query string down into a series of tokens and parses them, composing the search query by chaining method calls onto the initial search scope.
A search class registers zero or more special-case parsers. Processing of each
token runs through the parsers in the order in which they were registered.
Parsing of a single token halts when a parser succeeds. When a parser succeeds,
it should append to the search scope a method call which implements the filter
for the given token. When a parser fails, it should return a nil
or false
.
If all of the registered parsers fail, and the token is compound, it is simplified and reprocessed by the same set of parsers (see "Tokenization" for more information).
If still no parser has successfully parsed the token, it falls back on the
#default_parse
.
Search Classes
Search classes should inherit from SearchLingo::AbstractSearch
. They must
provide their own implementation of #default_parse
which should probably, at
a minimum, return the current filter chain. Custom parsers can be registered
with the .parser
class method. Custom parsers are tried in the same order in
which they are defined. Bear this in mind when defining parsers.
Tokenization
Queries are comprised of zero or more tokens separated by white space. A token
is an optional modifier followed by a term. A modifier is one or more
alphanumeric characters and is followed by a colon. A term can be a single word
or multiple words contained within double quotes (both foo
and "foo bar baz"
are valid single terms).
QUERY := TOKEN*
TOKEN := (MODIFIER ':' [[:space:]]*)? TERM
MODIFIER := [[:alnum:]]+
TERM := '"' [^"]* '"' | [[:graph:]]+
The following are all examples of tokens:
foo
"foo bar"
foo: bar
foo: "bar baz"
(If you need a term to equal something that might otherwise be interpreted as
a modifier, you can enclose the term in double quotes, e.g., while foo: bar
would be interpreted a single compound token, "foo:" bar
would be treated as
two distinct simple tokens, and "foo: bar"
would be treated as a single
simple token.)
Tokens are passed to parsers as instances of the SearchLingo::Token
class.
SearchLingo::Token
provides #modifier
and #term
methods, but delegates
all other behavior to the String class. Consequently, when writing parsers, you
have the option of either interacting with examining the modifier and term
individually or treating the entire token as a String and processing it
yourself. The following would produce identical results:
token = SearchLingo::Token.new('foo: "bar baz"')
if token.modifier == 'foo' then token.term end # => 'bar baz'
token.match(/\Afoo:\s*"?(.+?)"?\z/) { |m| m[1] } # => 'bar baz'
(Note that #term
takes care of stripping away quotes from the term.)
Parsers
Any object that responds to #call
can be used as a parser. It will be sent
two arguments: the token and the current filter chain. If a parser succeeds, it
should append one or more methods to the filter chain and return the result. If
a parser fails, it should return a falsey value (usually nil
).
For very simple parsers which need not be reusable, you can pass the parsing logic to the parser method as a block:
class MySearch < SearchLingo::AbstractSearch
parser do |token, chain|
token.match(/\Aid:[[:space:]]*([[:digit:]]+)\z/) do |m|
chain.where id: m[1]
end
end
end
If you want to re-use a parser, you could implement it as a lambda:
module Parsers
ID_PARSER = lambda do |token, chain|
token.match(/\Aid:[[:space:]]*([[:digit:]]+)\z/) do |m|
chain.where id: m[1]
end
end
end
class MySearch < SearchLingo::AbstractSearch
parser Parsers::ID_PARSER
end
class MyOtherSearch < SearchLingo::AbstractSearch
parser Parsers::ID_PARSER
end
For more complex cases, you may choose to implement a parser as its own class.
module Parsers
class DateParser
US_DATE = %r{(?<m>\d{1,2})/(?<d>\d{1,2})/(?<y>\d{4})}
attr_reader :column
def initialize(column)
@column = column
end
def call(token, chain)
catch :halt do
parse_simple_date token, chain
parse_date_range token, chain
parse_open_date_range token, chain
end
end
private
# Parses simple dates like "10/2/2018"
def parse_simple_date(token, chain)
token.match(/\A#{US_DATE}\z/) do |m|
date = Date.parse '%04d-%02d-%02d' % m.values_at(:y, :m, :d)
throw :halt, chain.where(column.eq(date))
end
rescue ArgumentError
# Raised by Date.parse for invalid dates
end
# Parses date ranges like "10/1/2018-10/31/2018"
def parse_date_range(token, chain)
token.match(/\A#{US_DATE}-#{US_DATE}\z/) do |m|
min = Date.parse '%04d-%02d-%02d' % m.values_at(3, 1, 2)
max = Date.parse '%04d-%02d-%02d' % m.values_at(6, 4, 3)
throw :halt, chain.where(column.in(min..max))
end
rescue ArgumentError
# Raised by Date.parse for invalid dates
end
# Parses open-ended date ranges like "10/1/2018-" or "-10/31/2018"
def parse_open_date_range(token, chain)
token.match(/\A(?<min>#{US_DATE})-|-(?<max>#{US_DATE})\z) do |m|
if m[:min]
date = Date.parse '%04d-%02d-%02d' % m.values_at(:y, :m, :d)
throw :halt, chain.where(column.gteq(date))
else
date = Date.parse '%04d-%02d-%02d' % m.values_at(:y, :m, :d)
throw :halt, chain.where(column.lteq(date))
end
end
rescue ArgumentError
# Raised by Date.pares for invalid dates
end
end
end
class EventSearch < SearchLingo::AbstractSearch
parser Parsers::DateParser.new
end
(Date parsing was a convenient example of a parser complex enough to warrant its own class, but a date parser is included with the gem. See "Date Parsers" below for more information.)
Date Parsers
One of the non-trivial parsing tasks I found myself constantly reimplementing
was searching for records matching a date or a date range. To provide examples
of moderately complex parsers and avoid having to think about this parsing
problem again, I've included several parsers for handling US-formatted dates
and date ranges. They will handle dates formatted as M/D/YYYY, M/D/YY, and M/D.
(For M/D, the year is inferred based on the current year and with the
assumption that the date should always be in the past, i.e., if the current
date is 10 June 2015, 6/9
and 6/10
will be parsed as 9 June 2015 and 10
June 2015, respectively, but 6/11
will be parsed as 11 June 2014.)
Additionally, there are parsers for handling closed date ranges (e.g.,
1/1/15-6/30/15
) as well as open-ended date ranges (e.g., 1/1/15-
and
12/31/15
). Look at the files in lib/search_lingo/parsers
for more details.
The date parser are specifically designed to work with US-formatted dates. Time permitting, I will work on making them more flexible.
As implemented they generate queries using AREL. In the future, we should try generalizing this behavior to also support Sequel for generating queries.
Development
After checking out the repo, run bin/setup
to install dependencies. Then, run
bin/console
for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install
. To
release a new version, update the version number in version.rb
, and then run
bundle exec rake release
to create a git tag for the version, push git
commits and tags, and push the .gem
file to
rubygems.org.
Contributing
- Fork it ( https://github.com/jparker/search_lingo/fork )
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request