Python django uses haystack: A Framework for full-text search,

Python django uses haystack: A Framework for full-text search,

Haystack: Full-text retrieval framework
Whoosh: full-text search engine written in Python only
Jieba: a free Chinese Word Segmentation package

First install these three packages

Pip install django-haystack
Pip install whoosh
Pip install jieba

1. Modify the settings. py file and install the application haystack,
2. Configure the search engine in the settings. py file

HAYSTACK_CONNECTIONS = {'default': {# Use the whoosh ENGINE 'engine': 'haystack. backends. whoosh_cn_backend.WhooshEngine ', # index file PATH 'path': OS. path. join (BASE_DIR, 'whoosh _ Index'), }}# the indexes HAYSTACK_SIGNAL_PROCESSOR = 'haystack. signals. realtimeSignalProcessor'

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HAYSTACK_CONNECTIONS = {
'Default ':{
# Using the whoosh Engine
'Engine ': 'haystack. backends. whoosh_cn_backend.WhooshEngine ',
# Index file path
'Path': OS. PATH. join (BASE_DIR, 'whoosh _ Index '),
}
}
# An index is automatically generated when data is added, modified, or deleted.
HAYSTACK_SIGNAL_PROCESSOR = 'haystack. signals. RealtimeSignalProcessor'

 

 

 

3. Create the "search/indexes/blog/" directory under the templates directory and create a file blog_text.txt
# Specifying index attributes

{Object. title }}
{Object. text }}
{Object. keywords }}

 

 

4. Create search_indexes under the application to be searched

From haystack import indexesfrom models import Post # specify the index class GoodsInfoIndex (indexes. searchIndex, indexes. indexable): text = indexes. charField (document = True, use_template = True) def get_model (self): return Post # search model class def index_queryset (self, using = None): return self. get_model (). objects. all ()

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5.
1. Modify the haystack File
2. Find the haystack directory under the virtual environment py_django. The path varies depending on the python environment you are using.
3. site-packages/haystack/backends/create a file named ChineseAnalyzer. py and write the following code for Chinese Word Segmentation:

    import jiebafrom whoosh.analysis import Tokenizer, Token    class ChineseTokenizer(Tokenizer):    def __call__(self, value, positions=False, chars=False,                 keeporiginal=False, removestops=True,                 start_pos=0, start_char=0, mode='', **kwargs):        t = Token(positions, chars, removestops=removestops, mode=mode,                  **kwargs)        seglist = jieba.cut(value, cut_all=True)        for w in seglist:            t.original = t.text = w            t.boost = 1.0            if positions:                t.pos = start_pos + value.find(w)            if chars:                t.startchar = start_char + value.find(w)                t.endchar = start_char + value.find(w) + len(w)            yield t    def ChineseAnalyzer():    return ChineseTokenizer()

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6.
1. Copy the whoosh_backend.py file and change it to the following name:
Whoosh_cn_backend.py
Import the Chinese word segmentation module to the copied file.
From. ChineseAnalyzer import ChineseAnalyzer
2. Change the word analysis class to Chinese.
Change analyzer = StemmingAnalyzer () to analyzer = ChineseAnalyzer ()

7. The last step is to create and initialize the index data.
Python manage. py rebuild_index

8. Create a search template in templates/indexes/create a search.html Template
The search results are paginated. The context passed by the view to the template is as follows:
Query: Search Keyword
Page: The page Object of the current page.
Paginator: paginator object

9. Import the module in your application view
From haystack. generic_views import SearchView
Define a class to override the get_context_data method, so that you can pass the custom context to the template.
Class GoodsSearchView (SearchView ):
Def get_context_data (self, * args, ** kwargs ):
Context = super (). get_context_data (* args, ** kwargs)
Context ['iscart'] = 1
Context ['qwjs'] = 2
Return context

Add this url to the urls file of the application to use the. as_view () class as a view method ()
Url ('^ search/$', views. BlogSearchView. as_view ())