csquery 0.1.0

and

Syntax: (and boost=N EXPRESSION EXPRESSION … EXPRESSIONn)

from csquery.structured import and_, field

q = and_(title='star', actors='Harrison Ford', year=('', 2000))
q() #=> (and title:'star' actors:'Harrison Ford' year:{,2000])

# with option
q = and_({'title': 'star'}, {'title': 'star2'}, boost=2)
q() #=> (and boost=2 title:'star' title:'star2')

# another writing
and_({'title': 'star'}, {'actors': 'Harrison Ford'}, {'year': ('', 2000)})
and_(field('star', 'title'), field('Harrison Ford', 'actors'), field(('', 2000), 'year'))

or

Syntax: (or boost=N EXPRESSION1 EXPRESSION2 … EXPRESSIONn)

from csquery.structured import or_, field

q = or_(title='star', actors='Harrison Ford', year=('', 2000))
q() #=> (or title:'star' actors:'Harrison Ford' year:{,2000])

# with option
q = or_({'title': 'star'}, {'title': 'star2'}, boost=2)
q() #=> (or boost=2 title:'star' title:'star2')

not

Syntax: (not boost=N EXPRESSION)

from csquery.structured import not_, and_

q = not_(and_(actors='Harrison Ford', year=('', 2010)))
q() #=> (not (and actors:'Harrison Ford' year:{,2010]))

# with option
q = not_(and_(actors='Harrison Ford', year=('', 2010)), boost=2)
q() #=> (not boost=2 (and actors:'Harrison Ford' year:{,2010]))

near

Syntax: (near field=FIELD distance=N boost=N ‘STRING’)

from csquery.structured import near

q = near('teenage vampire', boost=2, field='plot', distance=2)
q() #=> (near field=plot distance=2 boost=2 'teenage vampire')

phrase

Syntax: (phrase field=FIELD boost=N ‘STRING’)

from csquery.structured import phrase

q = phrase('star', boost=2, field='title')
q() #=> (phrase field=title boost=2 'star')

prefix

Syntax: (prefix field=FIELD boost=N ‘STRING’)

from csquery.structured import prefix

q = prefix('star', boost=2, field='title')
q() #=> (prefix field=title boost=2 'star')

range

Syntax: (range field=FIELD boost=N RANGE)

from csquery.structured import range_

q = range_((1990, 2000))
q() #=> (range [1990,2000])
q = range_((None, 2000))
q() #=> (range {,2000])
q = range_((1990,))
q() #=> (range [1990,})

# with opition
q = range_((1990, 2000), field='date', boost=2)
q() #=> (range field=date boost=2 [1990,2000])

# another writing
q = range_('[1990,2000]')
q() #=> (range [1990,2000])

q = range_(('', 2000))
q() #=> (range {,2000])
q = range_('{,2000]')
q() #=> (range {,2000])

q = range_((1990, None))
q() #=> (range [1990,})
q = range_((1990, ''))
q() #=> (range [1990,})
q = range_('[1990,}')
q() #=> (range [1990,})

term

Syntax: (term field=FIELD boost=N ‘STRING’|VALUE)

from csquery.structured import term

q = term(2000, field='year', boost=2)
q() #=> (term field=year boost=2 2000)

q = term('star', field='title', boost=2)
q() #=> (term field=title boost=2 'star')

Complex query sample

from csquery.structured import and_, or_, not_, term

q = and_(
    not_('test', field='genres'),
    or_(
        term('star', field='title', boost=2),
        term('star', field='plot')
    )
)
q() #=> (and (not field=genres 'test') (or (term field=title boost=2 'star') (term field=plot 'star')))

Using with boto

http://boto.readthedocs.org/en/latest/ref/cloudsearch2.html

from csquery.structured import and_
from boto.cloudsearch2.layer2 import Layer2

conn = Layer2(
    region='ap-northeast-1',
    aws_access_key_id=[AWS ACCESSS KEY ID],
    aws_secret_access_key=[AWS SECRET KEY],
)
domain = conn.lookup('search_domain_name')
search_service = domain.get_search_service()

q = and_(title='star', actors='Harrison Ford', year=('', 2000))
result = search_service.search(q=q(), parser='structured')