# ==================================================================== # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ==================================================================== from lucene import \ PythonQueryParser, PythonMultiFieldQueryParser, \ PhraseQuery, TermRangeQuery, SpanNearQuery, SpanTermQuery, \ Term, PhraseQuery, Version from lia.extsearch.queryparser.NumberUtils import NumberUtils # # A QueryParser extension # class CustomQueryParser(PythonQueryParser): def __init__(self, field, analyzer): super(CustomQueryParser, self).__init__(Version.LUCENE_CURRENT, field, analyzer) def getFuzzyQuery(self, field, termText, minSimilarity): raise AssertionError, "Fuzzy queries not allowed" def getWildcardQuery(self, field, termText): raise AssertionError, "Wildcard queries not allowed" # # Special handling for the "id" field, pads each part # to match how it was indexed. # def getRangeQuery(self, field, part1, part2, inclusive): if field == "id": num1 = int(part1) num2 = int(part2) return TermRangeQuery(field, NumberUtils.pad(num1), NumberUtils.pad(num2), inclusive, True) if field == "special": print part1, "->", part2 return TermRangeQuery("field", part1, part2, inclusive, True) return super(CustomQueryParser, self).getRangeQuery(field, part1, part2, inclusive) # # Replace PhraseQuery with SpanNearQuery to force in-order # phrase matching rather than reverse. # def getFieldQuery(self, field, queryText, slop=None): if slop is None: return super(CustomQueryParser, self).getFieldQuery(field, queryText) # let QueryParser's implementation do the analysis orig = super(CustomQueryParser, self).getFieldQuery(field, queryText, slop) if not PhraseQuery.instance_(orig): return orig pq = PhraseQuery.cast_(orig) clauses = [SpanTermQuery(term) for term in pq.getTerms()] return SpanNearQuery(clauses, slop, True); class MultiFieldCustomQueryParser(PythonMultiFieldQueryParser): def __init__(self, fields, analyzer): super(MultiFieldCustomQueryParser, self).__init__(Version.LUCENE_CURRENT, fields, analyzer) def getFuzzyQuery(self, super, field, termText, minSimilarity): raise AssertionError, "Fuzzy queries not allowed" def getWildcardQuery(self, super, field, termText): raise AssertionError, "Wildcard queries not allowed" # # Special handling for the "id" field, pads each part # to match how it was indexed. # def getRangeQuery(self, field, part1, part2, inclusive): if field == "id": num1 = int(part1) num2 = int(part2) return TermRangeQuery(field, NumberUtils.pad(num1), NumberUtils.pad(num2), inclusive, True) if field == "special": print part1, "->", part2 return TermRangeQuery("field", part1, part2, inclusive, True) return super(CustomQueryParser, self).getRangeQuery(field, part1, part2, inclusive) # # Replace PhraseQuery with SpanNearQuery to force in-order # phrase matching rather than reverse. # def getFieldQuery(self, field, queryText, slop=None): if slop is None: return super(CustomQueryParser, self).getFieldQuery(field, queryText) # let QueryParser's implementation do the analysis orig = super(CustomQueryParser, self).getFieldQuery(field, queryText, slop) if not PhraseQuery.instance_(orig): return orig pq = PhraseQuery.cast_(orig) clauses = [SpanTermQuery(term) for term in pq.getTerms()] return SpanNearQuery(clauses, slop, True);