def parse_query(self, query, *fields, group="AND"):
if group == "OR":
parser = qparser.MultifieldParser(fields, schema=self.index.schema, group=qparser.OrGroup)
else:
parser = qparser.MultifieldParser(fields, schema=self.index.schema)
q = parser.parse(query)
return q
def render_results(s, qs, template):
#qp = qparser.QueryParser("content", s.schema)
qp = qparser.MultifieldParser(["tgrams", "title"], s.schema)
# Add the DateParserPlugin to the parser
qp.add_plugin(DateParserPlugin())
q = qp.parse(qs)
results = s.search(q, limit=100, sortedby="title")
#results = s.search(q, limit=100, sortedby="title", reverse=True)
#results = s.search(q, limit=100, groupedby="chapter")
q = results.q
#hf = highlight.HtmlFormatter()
#results.highlighter = highlight.Highlighter(formatter=hf)
qc = None
def hilite(hit):
with open(SOURCEDIR + hit["path"], "rb") as hitfile:
text = hitfile.read().decode("utf-8")
return hit.highlights("content", text)
return render_template(template,
qs=qs,
q=q,
results=results,
hilite=hilite,
corrected=qc,
args=request.args)
def search_content(self, search_statement: str):
cur_lang = "en"
try:
lng = langdetect.detect(search_statement)
cur_lang = lng if lng == "tr" else cur_lang
except Exception as e:
pass
result_list = []
with self.__index.searcher() as searcher:
query = qparser.MultifieldParser(
["message", "meta_content"]
if cur_lang == "en" else ["message_tr", "meta_content_tr"],
self.__schema,
termclass=CustomFuzzyTerm).parse(search_statement)
results = searcher.search(query)
for r in results:
result_list.append({
"_docnum": r.docnum,
"message_id": r["message_id"],
"chat_id": r["chat_id"],
"message": r["message"],
"meta_content": r["meta_content"]
})
return result_list
def post_search(pn=1, size=10):
keyword = request.values.get('kw')
if keyword is None:
return render_template('search/list.html',
title='搜索',
message='搜索关键字不能为空!')
with whoosh_searcher.get_searcher('posts') as searcher:
# q = query.Or([query.Term('title', keyword), query.Term('content', keyword)])
parser = qparser.MultifieldParser(
['title', 'content'],
whoosh_searcher.get_index('posts').schema)
q = parser.parse(keyword)
result = searcher.search_page(q,
pagenum=pn,
pagelen=size,
sortedby=sorting.ScoreFacet())
result_list = [x.fields() for x in result.results]
page = models.Page(pn,
size,
result=result_list,
has_more=result.pagecount > pn,
total_page=result.pagecount,
total=result.total)
print(page.result)
# return jsonify(page)
return render_template('search/list.html',
title=keyword + '搜索结果',
page=page,
kw=keyword)
def finalresult():
if request.method == 'POST':
#search query
query = request.form['QA']
print(query)
results = []
ix = index.open_dir("qadata_Index")
schema = ix.schema
# Create query parser that looks through designated fields in index
og = qparser.OrGroup.factory(0.9)
mp = qparser.MultifieldParser(['question', 'answer'], schema, group=og)
# This is the user query
q = mp.parse(request.form['QA'])
# Actual searcher, prints top 10 hits
with ix.searcher(weighting=scoring.BM25F()) as s:
results = s.search(q, limit=5)
for i in range(5):
print(results[i]['question'], str(results[i].score),
results[i]['answer'])
return render_template("result.html",
searchquery=request.form['QA'],
Q1=results[0]['question'],
A1=results[0]['answer'],
Q2=results[1]['question'],
A2=results[1]['answer'],
Q3=results[2]['question'],
A3=results[2]['answer'],
Q4=results[3]['question'],
A4=results[3]['answer'],
Q5=results[4]['question'],
A5=results[4]['answer'])
def Rprecision(queries, ground_truth, top_5_table):
## This function takes the queries , which have the groun truth values
## For each Analyzer method and scoring function find the result queries
## In result queries, there are as much as length of ground_truth resulting query
## Finally it compares ground_truth with resul queries and save the resul for
## each Analyzer_Scoring rprecission values for each query stored in final_result_dict
final_result_dict = {}
for Analyzer, Scoring_Function in zip(top_5_table[0], top_5_table[1]):
ix = index.open_dir(path + Analyzer + "Analyzer")
scoring_function = getattr(scoring, Scoring_Function)()
analyzer_result = {}
for q_id in queries:
query = queries[q_id]
max_number_of_results = len(ground_truth[q_id])
fields = ix.schema.names()
fields.remove('id')
qp = qparser.MultifieldParser(fields, ix.schema)
parsed_query = qp.parse(query)
# qp = qparser.QueryParser("body", ix.schema)
# parsed_query = qp.parse(query) # parsing the query
searcher = ix.searcher(weighting=scoring_function)
results = searcher.search(parsed_query,
limit=max_number_of_results)
final_result = []
for result in results:
if int(result["id"]) in gt[q_id]:
final_result.append(1)
analyzer_result[q_id] = sum(final_result) / len(ground_truth[q_id])
final_result_dict["_".join([Analyzer,
Scoring_Function])] = analyzer_result
searcher.close()
return final_result_dict
def CreateQueryParser():
global qp
og = qparser.OrGroup.factory(0.9)
qp = qparser.MultifieldParser(["Title", "ParaText"],
schema=ix.schema,
group=og)
qp.add_plugin(FuzzyTermPlugin())
def search(self, phrase, content=False, username=None, ct=10, page=0):
"""Implement the search, returning a list of bookmarks"""
page = int(page) + 1
with WIX.searcher() as search:
fields = ['description', 'extended', 'tags']
if content:
fields.append('readable')
parser = qparser.MultifieldParser(fields,
schema=WIX.schema,
group=qparser.OrGroup)
qry = parser.parse(phrase)
try:
res = search.search_page(qry, page, pagelen=int(ct))
except ValueError, exc:
raise(exc)
if res:
qry = Bmark.query.filter(
Bmark.bid.in_([r['bid'] for r in res])
)
if username:
qry = qry.filter(Bmark.username == username)
qry = qry.options(joinedload('hashed'))
return qry.all()
else:
return []
def search_index(search_model, query, fields=[], limit=None):
ix = index.open_dir(search_model.get_path())
fields = fields or search_model.fields
hits = []
query = smart_unicode(query)
limit = limit or getattr(settings, 'DJOOSH_SEARCH_LIMIT', 100)
if query and fields:
query = query.replace('+', ' AND ').replace('|', ' OR ')
parser = qparser.MultifieldParser(fields, schema=ix.schema)
qry = parser.parse(query)
try:
qry = parser.parse(query)
except:
qry = None
if qry:
searcher = ix.searcher()
try:
hits = searcher.search(qry, limit=limit)
except:
hits = []
ix.close()
return hits
def post_search(pn=1, size=10):
"""
:param pn:
:param size:
:return:
"""
keyword = request.values.get('kw')
if keyword is None:
return render_template('search/list.html',
title='搜索',
message='搜索关键字不能为空')
with whoosh_searcher.get_searcher('posts') as searcher:
parser = qparser.MultifieldParser(
['title', 'content'],
whoosh_searcher.get_index('posts').schema)
q = parser.parser(keyword)
result = searcher.search_page(q,
pagenum=pn,
pagelen=size,
sortedby=sorting.ScoreFacet())
result_list = [x.fields() for x in result.results]
page = models.Page(page_num=pn,
per_page=size,
result_list=result_list,
has_more=result.pagecount > pn,
total_page=result.pagecount,
total=result.total)
return render_template('search/list.html',
title=keyword + '搜索结果',
page=page,
kw=keyword)
def test_missing_field_scoring():
schema = fields.Schema(name=fields.TEXT(stored=True),
hobbies=fields.TEXT(stored=True))
storage = RamStorage()
ix = storage.create_index(schema)
writer = ix.writer()
writer.add_document(name=u('Frank'), hobbies=u('baseball, basketball'))
writer.commit()
r = ix.reader()
assert_equal(r.field_length("hobbies"), 2)
assert_equal(r.field_length("name"), 1)
r.close()
writer = ix.writer()
writer.add_document(name=u('Jonny'))
writer.commit()
with ix.searcher() as s:
r = s.reader()
assert_equal(len(ix._segments()), 1)
assert_equal(r.field_length("hobbies"), 2)
assert_equal(r.field_length("name"), 2)
parser = qparser.MultifieldParser(['name', 'hobbies'], schema)
q = parser.parse(u("baseball"))
result = s.search(q)
assert_equal(len(result), 1)
def __init__(self,
index=None,
search_fields=["title", "content"],
html_formatter=None,
parser=None,
termclass=Term):
"""Clase para buscar por distintos fields
:param: index
:type: whoosh.index.Index - Instancia del objeto Index
:param: search_fields - Lista de los campos donde se busca
:type: list
:param: html_formatter - Instancia que formatea los hits
:type: whoosh.highlight.HtmlFormatter
"""
self.index = index or open_dir(INDEX_DIR)
self.html_formatter = html_formatter or HtmlFormatter(
between="...",
tagname="strong",
classname="search-match",
termclass="search-term")
self.search_fields = search_fields
self.termclass = termclass
self.parser = parser or qparser.MultifieldParser(
self.search_fields, self.index.schema, termclass=termclass)
def search(self, query_str, limit=20):
schema = self.get_schema()
idx = self.get_index()
query = qparser.MultifieldParser(
self.setting.searchable_columns,
schema=schema,
).parse(query_str)
with idx.searcher() as searcher:
result = [hit.fields() for hit in searcher.search(query, limit=limit)]
return result
def parse(filt):
if filt.query_type == Filter.Q_APPROX:
mp = qparser.MultifieldParser(filt.get_fields(), schema=schema)
return mp.parse(unicode(filt.query_string))
elif filt.query_type == Filter.Q_EXACT:
s = cls.get_index().searcher()
qs = filt.query_string
f = lambda d: qs in [
d.get(field) for field in filt.get_fields()
]
ids = [unicode(d['id']) for d in filter(f, s.documents())]
return query.Or([query.Term('id', iden) for iden in ids])
def search(self, string=None, fields=["title", "content"]):
query_parser = qparser.MultifieldParser(fields,
self.ix.schema,
group=qparser.OrGroup)
query_parser.remove_plugin_class(qparser.PhrasePlugin)
query_parser.add_plugin(qparser.FuzzyTermPlugin())
query_parser.add_plugin(qparser.SequencePlugin())
with self.ix.searcher(weighting=scoring.BM25F) as searcher:
pattern = query_parser.parse(u'"{}"'.format(string))
for result in searcher.search(pattern, limit=None):
yield result
def search_query(request, response_format='html'):
"""Account view"""
objects = []
query = request.GET.get('q', '')
if query:
if query[:5] == 'tags:':
tag_names = query[5:].strip().split(',')
tags = Tag.objects.filter(name__in=tag_names)
objects = Object.objects.filter(tags__in=tags)
else:
search_engine = getattr(settings, 'SEARCH_ENGINE', 'whoosh')
if search_engine == 'whoosh':
ix = index.open_dir(settings.WHOOSH_INDEX)
# Whoosh doesn't understand '+' or '-' but we can replace
# them with 'AND' and 'NOT'.
squery = query.replace('+', ' AND ').replace('|',
' OR ').replace(
' ', ' OR ')
parser = qparser.MultifieldParser(
["name", "url", "type", "content"], schema=ix.schema)
qry = parser.parse(squery)
try:
qry = parser.parse(squery)
except:
# don't show the user weird errors only because we don't
# understand the query.
# parser.parse("") would return None
qry = None
if qry:
searcher = ix.searcher()
try:
hits = searcher.search(qry, limit=100)
except:
hits = []
hit_ids = [hit['id'] for hit in hits]
objects = Object.objects.filter(pk__in=hit_ids)
elif search_engine == 'db':
objects = dbsearch.search(query)
else:
raise RuntimeError(
'Unknown Search engine: {0!s}'.format(search_engine))
return render_to_response('core/search/query_view', {
'query': query,
'objects': objects
},
context_instance=RequestContext(request),
response_format=response_format)
def _mk_parser(self):
from whoosh import qparser as qparse
parser = qparse.MultifieldParser(self.idx_obj.schema.names(),
self.idx_obj.schema)
# XXX: plugin is broken in Debian's whoosh 2.7.0-2, but already fixed
# upstream
parser.add_plugin(qparse.FuzzyTermPlugin())
parser.add_plugin(qparse.GtLtPlugin())
parser.add_plugin(qparse.SingleQuotePlugin())
# replace field defintion to allow for colons to be part of a field's name:
parser.replace_plugin(
qparse.FieldsPlugin(expr=r"(?P<text>[()<>.\w]+|[*]):"))
self.parser = parser
def index_search(dirname, search_fields, search_query):
ix = index.open_dir(dirname)
sch = ix.schema
# Create query parser that looks through designated fields in index
og = qparser.OrGroup.factory(0.9)
mp = qparser.MultifieldParser(search_fields, sch, group=og)
# This is the user query
q = mp.parse(search_query)
# Actual searcher, prints top 10 hits
with ix.searcher() as s:
results = s.search(q, limit=10)
print("Search Results: ")
pprint(results[0:10])
def index_search(dirname, search_fields, search_query):
ix = index.open_dir(dirname)
schema = ix.schema
og = qparser.OrGroup.factory(0.9)
mp = qparser.MultifieldParser(search_fields, schema, group = og)
q = mp.parse(search_query)
with ix.searcher() as s:
results = s.search(q, terms=True, limit = return_results_count)
print("Completing Whoosh Search")
tmp_df = pd.concat([pd.DataFrame([[hit['path']]], columns=['path']) for hit in results], ignore_index=True)
return(tmp_df)
def searchDataByNameAndType(name, type):
ix = open_dir("indexdir")
query_str = name + '* ' + type
with ix.searcher(weighting=scoring.Frequency) as searcher:
query = qparser.MultifieldParser(["title", "extension"],
ix.schema).parse(query_str)
results = searcher.search(query, limit=None)
if len(results) > 0:
for i in range(len(results)):
print("File Name: " + results[i]['title'],
"Path: " + results[i]['path'],
"Extension: " + results[i]['extension'])
else:
print("Aucun resultat trouvé !")
def search_clips(query, page):
''' search_clips returns the clips found by the given query
Clips are stored in a named tuple called ClipSearchResults.
ClipSearchResults has two fields:
- clips: a list of Clip objects on the page
- length: the total number of clips that match the query
'''
parser = qparser.MultifieldParser(['title', 'description', 'tags', 'user'], clip_index.schema)
with clip_index.searcher() as searcher:
results = searcher.search_page(parser.parse(query), page, pagelen=cn.SEARCH_CLIPS_PER_PAGE)
clips = []
for result in results:
clips.append(Clip.query.get(result['id']))
ClipSearchResults = namedtuple('ClipSearchResults', ['clips', 'length'])
return ClipSearchResults(clips, len(results))
def search_index(self, search_term):
model_index = self._get_index()
schema = self._get_schema()
fields = list()
for field in self._get_indexable_columns():
if field == "id":
field = "model_id"
value = getattr(self, field)
# Do not search the primary key
if not value.primary_key:
fields.append(field)
parser = qparser.MultifieldParser(fields, schema)
query = parser.parse(search_term)
with model_index.searcher() as searcher:
results = searcher.search(query)
for result in results:
yield result
def validate_question(text):
"""Check validity of the question:
1. filter by length 2. auto-correction 3. OOV"""
global valid, ix
# empty or too long questions are not allowed
if len(text) == 0:
error = "<div class=\"alert alert-warning\"> Sorry, the question appears to be empty. Try again? </div>"
return False, error
elif len(text) > 150:
error = "<div class=\"alert alert-warning\"> Sorry, the question is too long. Try to use only 150 characters." \
" </div>"
return False, error
mparser = qparser.MultifieldParser(["answer"], schema=ix.schema)
# auto-correction built in Whoosh
with ix.searcher() as s:
q = mparser.parse(text.replace("?", ""))
corrected = s.correct_query(q, text)
if corrected.query != q:
error = "<div class=\"alert alert-warning\"> Did you mean: <a href=\"" + url_for(
'passage.process_question', received_question=corrected.string
) + "\">" + corrected.string + "</a>?</div>"
return False, error
# the question is valid, but contains lemmata which are not in vocabulary, so a warning is displayed
oov_num = 0
for word in text.replace("?", "").split():
if not (lemmatizer.lemmatize(word, pos='v')
in vocabulary_encoded.keys()):
if not (lemmatizer.lemmatize(
word.lower(), pos='v')) in vocabulary_encoded.keys():
oov_num += 1
if oov_num != 0:
if oov_num < len(text.split()):
warning = "<div class=\"alert alert-warning\"> The question has words that are not in vocabulary." \
" if you rephrase it, you might get better results. </div>"
return True, warning
else:
error = "<div class=\"alert alert-warning\"> Sorry, could not understand your input." \
" </div>"
return False, error
return True, ""
def test_boolean_multifield():
schema = fields.Schema(name=fields.TEXT(stored=True),
bit=fields.BOOLEAN(stored=True))
ix = RamStorage().create_index(schema)
with ix.writer() as w:
w.add_document(name=u('audi'), bit=True)
w.add_document(name=u('vw'), bit=False)
w.add_document(name=u('porsche'), bit=False)
w.add_document(name=u('ferrari'), bit=True)
w.add_document(name=u('citroen'), bit=False)
with ix.searcher() as s:
qp = qparser.MultifieldParser(["name", "bit"], schema)
q = qp.parse(u("boop"))
r = s.search(q)
assert sorted(hit["name"] for hit in r) == ["audi", "ferrari"]
assert len(r) == 2
def index_search(dirname, search_fields, search_query):
ix = index.open_dir(dirname)
schema = ix.schema
# Create query parser that looks through designated fields in index
og = qparser.OrGroup.factory(0.9)
mp = qparser.MultifieldParser(search_fields, schema, group = og)
# This is the user query
q = mp.parse(search_query)
# Actual searcher, prints top 10 hits
with ix.searcher() as s:
results = s.search(q, limit = None)
print("Total Documents: ",ix.doc_count_all())
print("Retrieved Documents: ",results.estimated_length())
print(results._get_scorer())
for i,result in enumerate(results[0:5]):
print("Search Results: ",result.rank,"Score: ",result.score)
print("Question: ",result['question'])
print("Answer: ",result['answer'])
print("------------------------")
def search(query, page=1, per_page=20):
with index.searcher() as s:
qp = qparser.MultifieldParser(['title', 'content'], index.schema)
q = qp.parse(unicode(query))
try:
result_page = s.search_page(q, page, pagelen=per_page)
except ValueError:
if page == 1:
return SearchResultPage(None, page)
return None
results = result_page.results
results.highlighter.fragmenter.maxchars = 512
results.highlighter.fragmenter.surround = 40
results.highlighter.formatter = highlight.HtmlFormatter(
'em',
classname='search-match',
termclass='search-term',
between=u'<span class=ellipsis> … </span>')
return SearchResultPage(result_page, page)
def post_search(pn=1, size=10):
keyword = request.values.get('kw')
if keyword is None:
return render_template('search/list.html',
title='搜索',
message='搜索关键字不能为空!')
whoosh_searcher.clear('posts')
writer = whoosh_searcher.get_writer('posts')
for item in mongo.db['posts'].find(
{}, ['_id', 'title', 'content', 'create_at', 'user_id', 'catalog_id']):
item['obj_id'] = str(item['_id'])
item['user_id'] = str(item['user_id'])
item['catalog_id'] = str(item['catalog_id'])
item.pop('_id')
writer.add_document(**item)
# 保存修改
writer.commit()
with whoosh_searcher.get_searcher('posts') as searcher:
# 解析查询字符串
parser = qparser.MultifieldParser(
['title', 'content'],
whoosh_searcher.get_index('posts').schema)
q = parser.parse(keyword)
print('q:', q)
# 搜索得到结果
result = searcher.search_page(q,
pagenum=pn,
pagelen=size,
sortedby=sorting.ScoreFacet())
result_list = [x.fields() for x in result.results]
# 构建页面对象
page = Page(pn,
size,
result=result_list,
has_more=result.pagecount > pn,
page_count=result.pagecount,
total=result.total)
return render_template('search/list.html',
title=keyword + '搜索结果',
page=page,
kw=keyword)
def query_index(q, offset, limit):
ix = index.open_dir('index')
products = []
with ix.searcher() as searcher:
mp = qparser.MultifieldParser(['name', 'description'], ix.schema)
mpq = mp.parse(q)
results = searcher.search_page(mpq, pagenum=offset + 1, pagelen=limit)
for result in results:
pprint(result)
products.append({
'id': result['ID'],
'image': result['image'],
'name': result['name'],
'description': result['description'],
'price': result['price']
})
return (products, len(results))
def test_missing_field_scoring(self):
schema = fields.Schema(name=fields.TEXT(stored=True),
hobbies=fields.TEXT(stored=True))
storage = store.RamStorage()
idx = index.Index(storage, schema, create=True)
writer = idx.writer()
writer.add_document(name=u'Frank', hobbies=u'baseball, basketball')
writer.commit()
self.assertEqual(idx.segments[0].field_length(0), 2) # hobbies
self.assertEqual(idx.segments[0].field_length(1), 1) # name
writer = idx.writer()
writer.add_document(name=u'Jonny')
writer.commit()
self.assertEqual(len(idx.segments), 1)
self.assertEqual(idx.segments[0].field_length(0), 2) # hobbies
self.assertEqual(idx.segments[0].field_length(1), 2) # name
parser = qparser.MultifieldParser(['name', 'hobbies'], schema=schema)
searcher = idx.searcher()
result = searcher.search(parser.parse(u'baseball'))
self.assertEqual(len(result), 1)
def question_tokens_to_query(keywords):
""" From a list of keywords and its synonym, transform to whoosh-defined query format """
# Build query from keywords
query_str = ""
for keyword in keywords:
keywords_str = "("
for i in range(len(keyword)):
keywords_str += keyword[i] + " OR "
keywords_str = keywords_str[:-4] # Remove the last " OR "
keywords_str += ")"
query_str += keywords_str + " "
# From query string build whoosh-defined query
ix = index.open_dir(index_dir)
parser = qparser.MultifieldParser(["title", "content"], ix.schema)
parser.remove_plugin_class(qparser.PhrasePlugin)
parser.add_plugin(qparser.SequencePlugin()) # For complex pharse query
parser.add_plugin(qparser.FuzzyTermPlugin()
) # Search for term that dont have to match exactly
query = parser.parse(query_str)
return query