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def build_query(options = {}) | |
query = { | |
sort: sort(options), | |
query: { | |
filtered: { | |
query: { | |
bool: { | |
must: address_or_keywords(options), | |
should: fulltext(options) | |
} | |
}, | |
filter: { | |
and: filter(options) | |
} | |
} | |
}, | |
aggregations: clusterize(options) | |
} | |
highlight(query, address: {}) if options[:highlight] | |
paginate(query, options) | |
Elastic::QuerySanitizer.sanitize(query) | |
end | |
private | |
def filter(options) | |
[ | |
*terms(options), | |
*ranges(options), | |
*rooms(options), | |
*price(options), | |
on_map(options), | |
only_with_photo(options), | |
not_id(options), | |
polygon(options), | |
extra_options(options), | |
bbox(:lat_lng, options) | |
] | |
end | |
def sort(options) | |
sort_by_lat_lng(options) || | |
sort_by_column(options) || | |
sort_by_rank | |
end | |
def sort_by_lat_lng(options) | |
if options[:lat_lng].present? | |
{ | |
_geo_distance: { | |
lat_lng: options[:lat_lng], order: :asc, unit: :km | |
} | |
} | |
end | |
end | |
def sort_by_column(options) | |
if options[:sort_column] && options[:sort_direction] | |
{ | |
options[:sort_column].to_sym => { | |
order: options[:sort_direction].to_sym, | |
missing: :_last | |
} | |
} | |
end | |
end | |
def sort_by_rank | |
{ rank: { order: :desc, missing: :_last } } | |
end | |
def address_or_keywords(options) | |
[ | |
{ match: { address: { query: options[:address], operator: :and } } }, | |
{ match: { keywords: options[:keywords] } } | |
] | |
end | |
def fulltext(options) | |
if options[:query] | |
[ | |
{ match: { address: options[:query] } }, | |
{ match: { keywords: options[:query] } }, | |
{ term: { id: options[:query] =~ INTEGER_FORMAT && options[:query] } } | |
] | |
end | |
end | |
def terms(options) | |
generate_terms( | |
options.slice( | |
:author_id, :author_type, :city_id, :advert_type, | |
:property_type, :addressing_id, :addressing_border_id, | |
:pay_type, :material, :kind, :sell_type, :flat_plan, | |
:commercial_type, :metro | |
) | |
) | |
end | |
def ranges(options) | |
[ | |
{ range: { plot_area: { gte: options[:plot_area_from] } } }, | |
{ range: { area: { gte: options[:area_from] } } }, | |
{ range: { floor: { gte: options[:floor_from] } } } | |
] | |
end | |
def rooms(options) | |
rooms_key = if options[:property_type] == 'house' | |
:bedrooms | |
else | |
:rooms | |
end | |
[ | |
{ terms: { rooms_key => options[:rooms_range] } }, | |
{ terms: { rooms_to_sell: options[:rooms_to_sell_range] } } | |
] | |
end | |
def price(options) | |
value = options[:price_rub_to].to_i | |
if value > 0 | |
key_field = if options[:price_type] == 'total' || options[:price_type].blank? | |
:price_rub | |
else | |
:price_rub_perm | |
end | |
[ | |
{ range: { key_field => { lte: value } } }, | |
{ term: { price_per_request: false } } | |
] | |
end | |
end | |
def clusterize(options) | |
if options[:clusterize] | |
{ | |
grid: { | |
geohash_grid: { | |
field: 'lat_lng', | |
precision: options[:precision], | |
size: 500 | |
}, | |
aggregations: { | |
avg_lat: { avg: { field: 'lat_lng.lat' } }, | |
avg_lon: { avg: { field: 'lat_lng.lon' } }, | |
rooms: { max: { field: 'rooms'} }, | |
id: { max: { field: 'id' } }, | |
price: { max: { field: 'price_rub' } } | |
} | |
} | |
} | |
end | |
end |
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What is
Elastic::QuerySanitizer.sanitize
?