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Flask-WhooshAlchemy-Redux-0.7.1
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مشاهده بیشترتوضیحات
Whoosh extension to Flask/SQLAlchemy
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | Flask-WhooshAlchemy-Redux-0.7.1 |
| نام | Flask-WhooshAlchemy-Redux |
| نسخه کتابخانه | 0.7.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Asad Dhamani |
| ایمیل نویسنده | dhamaniasad+code@gmail.com |
| آدرس صفحه اصلی | https://github.com/dhamaniasad/Flask-WhooshAlchemy |
| آدرس اینترنتی | https://pypi.org/project/Flask-WhooshAlchemy-Redux/ |
| مجوز | BSD |
Welcome to Flask-WhooshAlchemy!
===============================
[](https://travis-ci.org/dhamaniasad/Flask-WhooshAlchemy) [](https://circleci.com/gh/dhamaniasad/Flask-WhooshAlchemy/tree/master) [](https://pypi.python.org/pypi/Flask-WhooshAlchemy-Redux)
Flask-WhooshAlchemy is a Flask extension that integrates the text-search functionality of [Whoosh](https://bitbucket.org/mchaput/whoosh/wiki/Home) with the ORM of [SQLAlchemy](http://www.sqlalchemy.org/) for use in [Flask](http://flask.pocoo.org/) applications.
Source code and issue tracking at [GitHub](https://github.com/dhamaniasad/Flask-WhooshAlchemy).
View the official docs [here](https://Flask-WhooshAlchemy.readthedocs.org/).
Install
-------
pip install flask_whooshalchemy_redux
Or:
git clone https://github.com/dhamaniasad/Flask-WhooshAlchemy.git
Quickstart
----------
Let's set up the environment and create our model:
```python
import flask.ext.whooshalchemy as whooshalchemy
# set the location for the whoosh index
app.config['WHOOSH_BASE'] = 'path/to/whoosh/base'
class BlogPost(db.Model):
__tablename__ = 'blogpost'
__searchable__ = ['title', 'content'] # these fields will be indexed by whoosh
__analyzer__ = SimpleAnalyzer() # configure analyzer; defaults to
# StemmingAnalyzer if not specified
id = app.db.Column(app.db.Integer, primary_key=True)
title = app.db.Column(app.db.Unicode) # Indexed fields are either String,
content = app.db.Column(app.db.Text) # Unicode, or Text
created = db.Column(db.DateTime, default=datetime.datetime.utcnow)
whooshalchemy.whoosh_index(app, BlogPost)
```
Only two steps to get started:
1) Set the `WHOOSH_BASE` to the path for the whoosh index. If not set, it will default to a directory called 'whoosh\_index' in the directory from which the application is run.
2) Add a `__searchable__` field to the model which specifies the fields (as `str` s) to be indexed .
Let's create a post:
```python
db.session.add(
BlogPost(title='My cool title', content='This is the first post.')
); db.session.commit()
```
After the session is committed, our new `BlogPost` is indexed. Similarly, if the post is deleted, it will be removed from the Whoosh index.
Text Searching
--------------
To execute a simple search:
```python
results = BlogPost.query.whoosh_search('cool')
```
This will return all `BlogPost` instances in which at least one indexed
field (i.e., 'title' or 'content') is a text match to the query. Results
are ranked according to their relevance score, with the best match
appearing first when iterating. The result of this call is a (subclass
of) sqlalchemy.orm.query.Query object, so you can chain other SQL
operations. For example:
```python
two_days_ago = datetime.date.today() - datetime.timedelta(2)
recent_matches = BlogPost.query.whoosh_search('first').filter(
BlogPost.created >= two_days_ago)
```
Or, in alternative (likely slower) order:
```python
recent_matches = BlogPost.query.filter(
BlogPost.created >= two_days_ago).whoosh_search('first')
```
We can limit results:
```python
# get 2 best results:
results = BlogPost.query.whoosh_search('cool', limit=2)
```
By default, the search is executed on all of the indexed fields as an OR
conjunction. For example, if a model has 'title' and 'content' indicated
as `__searchable__`, a query will be checked against both fields,
returning any instance whose title or content are a content match for
the query. To specify particular fields to be checked, populate the
`fields` parameter with the desired fields:
```python
results = BlogPost.query.whoosh_search('cool', fields=('title',))
```
By default, results will only be returned if they contain all of the
query terms (AND). To switch to an OR grouping, set the `or_` parameter
to `True`:
```python
results = BlogPost.query.whoosh_search('cool', or_=True)
```
نحوه نصب
نصب پکیج whl Flask-WhooshAlchemy-Redux-0.7.1:
pip install Flask-WhooshAlchemy-Redux-0.7.1.whl
نصب پکیج tar.gz Flask-WhooshAlchemy-Redux-0.7.1:
pip install Flask-WhooshAlchemy-Redux-0.7.1.tar.gz