Python support.log_matches函数代码示例

def search(dbpath, querystring, offset=0, pagesize=10):
    # offset - defines starting point within result set
    # pagesize - defines number of records to retrieve

    # Open the database we're going to search.
    db = xapian.Database(dbpath)

### Start of example code.
    # Set up a QueryParser with a stemmer and suitable prefixes
    queryparser = xapian.QueryParser()
    queryparser.set_stemmer(xapian.Stem("en"))
    queryparser.add_prefix("title", "S")
    queryparser.add_prefix("description", "XD")
    queryparser.add_boolean_prefix("material", "XM")

    # And parse the query
    query = queryparser.parse_query(querystring)
### End of example code.

    # Use an Enquire object on the database to run the query
    enquire = xapian.Enquire(db)
    enquire.set_query(query)

    # And print out something about each match
    matches = []
    for match in enquire.get_mset(offset, pagesize):
        fields = json.loads(match.document.get_data())
        print u"%(rank)i: #%(docid)3.3i %(title)s" % {
            'rank': match.rank + 1,
            'docid': match.docid,
            'title': fields.get('TITLE', u''),
            }
        matches.append(match.docid)
    # Finally, make sure we log the query and displayed results
    support.log_matches(querystring, offset, pagesize, matches)

def search(dbpath, querystring, offset=0, pagesize=10):
    # offset - defines starting point within result set
    # pagesize - defines number of records to retrieve

    # Open the database we're going to search.
    db = xapian.Database(dbpath)

    # Set up a QueryParser with a stemmer and suitable prefixes
    queryparser = xapian.QueryParser()
    queryparser.set_stemmer(xapian.Stem("en"))
    queryparser.set_stemming_strategy(queryparser.STEM_SOME)
    queryparser.add_prefix("title", "S")
    queryparser.add_prefix("description", "XD")

    # And parse the query
    query = queryparser.parse_query(querystring)

    # Use an Enquire object on the database to run the query
    enquire = xapian.Enquire(db)
    enquire.set_query(query)
    # Start of example code.
    class DistanceKeyMaker(xapian.KeyMaker):
        def __call__(self, doc):
            # we want to return a sortable string which represents
            # the distance from Washington, DC to the middle of this
            # state.
            coords = map(float, doc.get_value(4).split(","))
            washington = (38.012, -77.037)
            return xapian.sortable_serialise(support.distance_between_coords(coords, washington))

    enquire.set_sort_by_key_then_relevance(DistanceKeyMaker(), False)
    # End of example code.

    # And print out something about each match
    matches = []
    for match in enquire.get_mset(offset, pagesize):
        fields = json.loads(match.document.get_data())
        print(
            u"%(rank)i: #%(docid)3.3i %(name)s %(date)s\n        Population %(pop)s"
            % {
                "rank": match.rank + 1,
                "docid": match.docid,
                "name": fields.get("name", u""),
                "date": support.format_date(fields.get("admitted", u"")),
                "pop": support.format_numeral(int(fields.get("population", 0))),
                "lat": fields.get("latitude", u""),
                "lon": fields.get("longitude", u""),
            }
        )
        matches.append(match.docid)

    # Finally, make sure we log the query and displayed results
    support.log_matches(querystring, offset, pagesize, matches)

def search(dbpath, querystring, offset=0, pagesize=10):
    # offset - defines starting point within result set
    # pagesize - defines number of records to retrieve

    # Open the database we're going to search.
    db = xapian.Database(dbpath)

    # Set up a QueryParser with a stemmer and suitable prefixes
    queryparser = xapian.QueryParser()
    queryparser.set_stemmer(xapian.Stem("en"))
    queryparser.set_stemming_strategy(queryparser.STEM_SOME)
    queryparser.add_prefix("title", "S")
    queryparser.add_prefix("description", "XD")

    # And parse the query
    query = queryparser.parse_query(querystring)

    # Use an Enquire object on the database to run the query
    enquire = xapian.Enquire(db)
    enquire.set_query(query)
    # Start of example code.
    keymaker = xapian.MultiValueKeyMaker()
    keymaker.add_value(1, False)
    keymaker.add_value(3, True)
    enquire.set_sort_by_key_then_relevance(keymaker, False)
    # End of example code.

    # And print out something about each match
    matches = []
    for index, match in enumerate(enquire.get_mset(offset, pagesize)):
        fields = json.loads(match.document.get_data())
        print u"%(rank)i: #%(docid)3.3i %(name)s %(date)s\n        Population %(pop)s" % {
            'rank': offset + index + 1,
            'docid': match.docid,
            'name': fields.get('name', u''),
            'date': support.format_date(fields.get('admitted', u'')),
            'pop': support.format_numeral(fields.get('population', 0)),
            'lat': fields.get('latitude', u''),
            'lon': fields.get('longitude', u''),
            }
        matches.append(match.docid)

    # Finally, make sure we log the query and displayed results
    support.log_matches(querystring, offset, pagesize, matches)

def search(dbpath, querystring, offset=0, pagesize=10):
    # offset - defines starting point within result set
    # pagesize - defines number of records to retrieve

    # Open the database we're going to search.
    db = xapian.Database(dbpath)

    # Set up a QueryParser with a stemmer and suitable prefixes
    queryparser = xapian.QueryParser()
    queryparser.set_stemmer(xapian.Stem("en"))
    queryparser.set_stemming_strategy(queryparser.STEM_SOME)
    queryparser.add_prefix("title", "S")
    queryparser.add_prefix("description", "XD")
    # and add in range processors
    queryparser.add_rangeprocessor(
        xapian.NumberRangeProcessor(0, 'mm', xapian.RP_SUFFIX)
    )
    queryparser.add_rangeprocessor(
        xapian.NumberRangeProcessor(1)
    )

    # And parse the query
    query = queryparser.parse_query(querystring)

    # Use an Enquire object on the database to run the query
    enquire = xapian.Enquire(db)
    enquire.set_query(query)

    # And print out something about each match
    matches = []
    for match in enquire.get_mset(offset, pagesize):
        fields = json.loads(match.document.get_data())
        print(u"%(rank)i: #%(docid)3.3i (%(date)s) %(measurements)s\n        %(title)s" % {
            'rank': match.rank + 1,
            'docid': match.docid,
            'measurements': fields.get('MEASUREMENTS', u''),
            'date': fields.get('DATE_MADE', u''),
            'title': fields.get('TITLE', u''),
            })
        matches.append(match.docid)

    # Finally, make sure we log the query and displayed results
    support.log_matches(querystring, offset, pagesize, matches)

def search(dbpath, querystring, offset=0, pagesize=10):
    # offset - defines starting point within result set
    # pagesize - defines number of records to retrieve

    # Open the database we're going to search.
    db = xapian.WritableDatabase(dbpath)

    # Start of adding synonyms
    db.add_synonym("time", "calendar")
    # End of adding synonyms

    # Set up a QueryParser with a stemmer and suitable prefixes
    queryparser = xapian.QueryParser()
    queryparser.set_stemmer(xapian.Stem("en"))
    queryparser.set_stemming_strategy(queryparser.STEM_SOME)
    queryparser.add_prefix("title", "S")
    queryparser.add_prefix("description", "XD")

    # Start of set database
    queryparser.set_database(db)
    # End of set database

    # And parse the query
    query = queryparser.parse_query(querystring, queryparser.FLAG_SYNONYM)

    # Use an Enquire object on the database to run the query
    enquire = xapian.Enquire(db)
    enquire.set_query(query)

    # And print out something about each match
    matches = []
    for match in enquire.get_mset(offset, pagesize):
        fields = json.loads(match.document.get_data().decode('utf8'))
        print(u"%(rank)i: #%(docid)3.3i %(title)s" % {
            'rank': match.rank + 1,
            'docid': match.docid,
            'title': fields.get('TITLE', u''),
            })
        matches.append(match.docid)

    # Finally, make sure we log the query and displayed results
    support.log_matches(querystring, offset, pagesize, matches)

def search(dbpath, querystring, offset=0, pagesize=10):
    # offset - defines starting point within result set
    # pagesize - defines number of records to retrieve

    # Open the database we're going to search.
    db = xapian.Database(dbpath)

    # Set up a QueryParser with a stemmer and suitable prefixes
    queryparser = xapian.QueryParser()
    queryparser.set_stemmer(xapian.Stem("en"))
    queryparser.set_stemming_strategy(queryparser.STEM_SOME)
    queryparser.add_prefix("title", "S")
    queryparser.add_prefix("description", "XD")
    # and add in range processors
    # Start of custom RP code
    class PopulationRangeProcessor(xapian.RangeProcessor):
        def __init__(self, slot, low, high):
            super(PopulationRangeProcessor, self).__init__()
            self.nrp = xapian.NumberRangeProcessor(slot)
            self.low = low
            self.high = high

        def __call__(self, begin, end):
            if len(begin) > 0:
                try:
                    _begin = int(begin)
                    if _begin < self.low or _begin > self.high:
                        raise ValueError()
                except:
                    return xapian.Query(xapian.Query.OP_INVALID)
            if len(end) > 0:
                try:
                    _end = int(end)
                    if _end < self.low or _end > self.high:
                        raise ValueError()
                except:
                    return xapian.Query(xapian.Query.OP_INVALID)
            return self.nrp(begin, end)
    queryparser.add_rangeprocessor(
        PopulationRangeProcessor(3, 500000, 50000000)
        )
    # End of custom RP code
    # Start of date example code
    queryparser.add_rangeprocessor(
        xapian.DateRangeProcessor(2, xapian.RP_DATE_PREFER_MDY, 1860)
    )
    queryparser.add_rangeprocessor(
        xapian.NumberRangeProcessor(1)
    )
    # End of date example code
    # And parse the query
    query = queryparser.parse_query(querystring)

    # Use an Enquire object on the database to run the query
    enquire = xapian.Enquire(db)
    enquire.set_query(query)

    # And print out something about each match
    matches = []
    for match in enquire.get_mset(offset, pagesize):
        fields = json.loads(match.document.get_data().decode('utf8'))
        population = support.format_numeral(int(fields.get('population', 0)))
        date = support.format_date(fields.get('admitted'))

        print(u"""\
%(rank)i: #%(docid)3.3i %(name)s %(date)s
        Population %(pop)s""" % {
            'rank': match.rank + 1,
            'docid': match.docid,
            'name': fields.get('name', u''),
            'date': date,
            'pop': population,
            'lat': fields.get('latitude', u''),
            'lon': fields.get('longitude', u''),
            })
        matches.append(match.docid)

    # Finally, make sure we log the query and displayed results
    support.log_matches(querystring, offset, pagesize, matches)

def search(dbpath, querystring, offset=0, pagesize=10):
    # offset - defines starting point within result set
    # pagesize - defines number of records to retrieve

    # Open the database we're going to search.
    db = xapian.Database(dbpath)

    # Set up a QueryParser with a stemmer and suitable prefixes
    queryparser = xapian.QueryParser()
    queryparser.set_stemmer(xapian.Stem("en"))
    queryparser.add_prefix("title", "S")
    queryparser.add_prefix("description", "XD")
    # and add in value range processors
    # Start of custom VRP code
    class PopulationValueRangeProcessor(xapian.ValueRangeProcessor):
        def __init__(self, value, low, high):
            super(PopulationValueRangeProcessor, self).__init__()
            self.nvrp = xapian.NumberValueRangeProcessor(value)
            self.low = low
            self.high = high

        def __call__(self, begin, end):
            if begin != u"":
                try:
                    _begin = int(begin)
                    if _begin < self.low or _begin > self.high:
                        raise ValueError()
                except:
                    return (xapian.BAD_VALUENO, begin, end)
            if end != u"":
                try:
                    _end = int(end)
                    if _end < self.low or _end > self.high:
                        raise ValueError()
                except:
                    return (xapian.BAD_VALUENO, begin, end)
            return self.nvrp(begin, end)
    queryparser.add_valuerangeprocessor(
        PopulationValueRangeProcessor(3, 500000, 50000000)
        )
    # End of custom VRP code
    # Start of date example code
    queryparser.add_valuerangeprocessor(
        xapian.DateValueRangeProcessor(2, True, 1860)
    )
    queryparser.add_valuerangeprocessor(
        xapian.NumberValueRangeProcessor(1, '')
    )
    # End of date example code
    # And parse the query
    query = queryparser.parse_query(querystring)

    # Use an Enquire object on the database to run the query
    enquire = xapian.Enquire(db)
    enquire.set_query(query)

    # And print out something about each match
    matches = []
    for match in enquire.get_mset(offset, pagesize):
        fields = json.loads(match.document.get_data())
        print u"%(rank)i: #%(docid)3.3i %(name)s %(date)s\n        Population %(pop)s" % {
            'rank': match.rank + 1,
            'docid': match.docid,
            'name': fields.get('name', u''),
            'date': fields.get('admitted', u''),
            'pop': fields.get('population', u''),
            'lat': fields.get('latitude', u''),
            'lon': fields.get('longitude', u''),
            }
        matches.append(match.docid)

    # Finally, make sure we log the query and displayed results
    support.log_matches(querystring, offset, pagesize, matches)