معرفی شرکت ها
csquery-0.1.4
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
A simple query builder for Amazon Cloudsearch structured query parser.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | csquery-0.1.4 |
| نام | csquery |
| نسخه کتابخانه | 0.1.4 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | tell-k |
| ایمیل نویسنده | ffk2005 at gmail.com |
| آدرس صفحه اصلی | https://github.com/tell-k/csquery |
| آدرس اینترنتی | https://pypi.org/project/csquery/ |
| مجوز | MIT |
A simple query builder for Amazon Cloudsearch Structured query parser.
|travis| |coveralls| |downloads| |version| |license| |requires|
.. contents::
:local:
:depth: 1
Features
========
* Provide a simple query builder for Amazon Cloudsearch Structured query parser.
* Please refer to the following link regarding **Structured Search Syntax** .
* http://docs.aws.amazon.com/cloudsearch/latest/developerguide/search-api.html
Caution
========
* At the moment, this library is compatible only to **Structured Search Syntax** .
* It does not have any plans corresponding to the other query parser(lucene, dismax, simple).
* If you want the lucene query builder, it's a good idea is to use the following library.
* https://pypi.python.org/pypi/lucene-querybuilder
* This library does not handle to generate queries that are not related to **Structured Search Syntax**. Ex) size, facets ...
Set up
======
Make environment with pip::
$ pip install csquery
Usage
=====
and
---
Syntax: (and boost=N EXPRESSION EXPRESSION ... EXPRESSIONn)
.. code-block:: python
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)
.. code-block:: python
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)
.. code-block:: python
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')
.. code-block:: python
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')
.. code-block:: python
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')
.. code-block:: python
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)
.. code-block:: python
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)
.. code-block:: python
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
----------------------
.. code-block:: python
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
.. code-block:: python
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')
Python Support
==============
* Python 2.7, 3,3, 3.4 or later.
License
=======
* Source code of this library Licensed under the MIT License.
See the LICENSE.rst file for specific terms.
Authors
=======
* tell-k <ffk2005 at gmail.com>
Contributors
==============
Thanks.
* @podhmo
* @furi
History
=======
0.1.4(Nov 25, 2015)
-----------------------------
* Fixed unquoted field value. `#4 <https://github.com/tell-k/csquery/pull/4>`_.
0.1.3(Nov 20, 2015)
---------------------
* Fixed over escaped expression. `#3 <https://github.com/tell-k/csquery/pull/3>`_.
0.1.2(Nov 18, 2015)
---------------------
* Fixed escape bug. `#2 <https://github.com/tell-k/csquery/pull/2>`_.
0.1.1(Nov 6, 2015)
---------------------
* Fixed bug. `#1 <https://github.com/tell-k/csquery/pull/1>`_.
0.1.0(Jun 8, 2015)
---------------------
* First release
.. |travis| image:: https://travis-ci.org/tell-k/csquery.svg?branch=master
:target: https://travis-ci.org/tell-k/csquery
.. |coveralls| image:: https://coveralls.io/repos/tell-k/csquery/badge.png
:target: https://coveralls.io/r/tell-k/csquery
:alt: coveralls.io
.. |requires| image:: https://requires.io/github/tell-k/csquery/requirements.svg?branch=master
:target: https://requires.io/github/tell-k/csquery/requirements/?branch=master
:alt: requirements status
.. |downloads| image:: https://img.shields.io/pypi/dm/csquery.svg
:target: http://pypi.python.org/pypi/csquery/
:alt: downloads
.. |version| image:: https://img.shields.io/pypi/v/csquery.svg
:target: http://pypi.python.org/pypi/csquery/
:alt: latest version
.. |license| image:: https://img.shields.io/pypi/l/csquery.svg
:target: http://pypi.python.org/pypi/csquery/
:alt: license
نیازمندی
| مقدار | نام |
|---|---|
| - | six |
نحوه نصب
نصب پکیج whl csquery-0.1.4:
pip install csquery-0.1.4.whl
نصب پکیج tar.gz csquery-0.1.4:
pip install csquery-0.1.4.tar.gz