Πηγαίος κώδικας για το django.contrib.postgres.search

from django.db.models import Field, FloatField
from django.db.models.expressions import CombinedExpression, Func, Value
from django.db.models.functions import Coalesce
from django.db.models.lookups import Lookup


class SearchVectorExact(Lookup):
    lookup_name = 'exact'

    def process_rhs(self, qn, connection):
        if not hasattr(self.rhs, 'resolve_expression'):
            config = getattr(self.lhs, 'config', None)
            self.rhs = SearchQuery(self.rhs, config=config)
        rhs, rhs_params = super(SearchVectorExact, self).process_rhs(qn, connection)
        return rhs, rhs_params

    def as_sql(self, qn, connection):
        lhs, lhs_params = self.process_lhs(qn, connection)
        rhs, rhs_params = self.process_rhs(qn, connection)
        params = lhs_params + rhs_params
        return '%s @@ %s = true' % (lhs, rhs), params


[τεκμηρίωση]class SearchVectorField(Field): def db_type(self, connection): return 'tsvector'
class SearchQueryField(Field): def db_type(self, connection): return 'tsquery' class SearchVectorCombinable(object): ADD = '||' def _combine(self, other, connector, reversed, node=None): if not isinstance(other, SearchVectorCombinable) or not self.config == other.config: raise TypeError('SearchVector can only be combined with other SearchVectors') if reversed: return CombinedSearchVector(other, connector, self, self.config) return CombinedSearchVector(self, connector, other, self.config)
[τεκμηρίωση]class SearchVector(SearchVectorCombinable, Func): function = 'to_tsvector' arg_joiner = " || ' ' || " _output_field = SearchVectorField() config = None def __init__(self, *expressions, **extra): super(SearchVector, self).__init__(*expressions, **extra) self.source_expressions = [ Coalesce(expression, Value('')) for expression in self.source_expressions ] self.config = self.extra.get('config', self.config) weight = self.extra.get('weight') if weight is not None and not hasattr(weight, 'resolve_expression'): weight = Value(weight) self.weight = weight def resolve_expression(self, query=None, allow_joins=True, reuse=None, summarize=False, for_save=False): resolved = super(SearchVector, self).resolve_expression(query, allow_joins, reuse, summarize, for_save) if self.config: if not hasattr(self.config, 'resolve_expression'): resolved.config = Value(self.config).resolve_expression(query, allow_joins, reuse, summarize, for_save) else: resolved.config = self.config.resolve_expression(query, allow_joins, reuse, summarize, for_save) return resolved def as_sql(self, compiler, connection, function=None, template=None): config_params = [] if template is None: if self.config: config_sql, config_params = compiler.compile(self.config) template = "%(function)s({}::regconfig, %(expressions)s)".format(config_sql.replace('%', '%%')) else: template = self.template sql, params = super(SearchVector, self).as_sql(compiler, connection, function=function, template=template) extra_params = [] if self.weight: weight_sql, extra_params = compiler.compile(self.weight) sql = 'setweight({}, {})'.format(sql, weight_sql) return sql, config_params + params + extra_params
class CombinedSearchVector(SearchVectorCombinable, CombinedExpression): def __init__(self, lhs, connector, rhs, config, output_field=None): self.config = config super(CombinedSearchVector, self).__init__(lhs, connector, rhs, output_field) class SearchQueryCombinable(object): BITAND = '&&' BITOR = '||' def _combine(self, other, connector, reversed, node=None): if not isinstance(other, SearchQueryCombinable): raise TypeError( 'SearchQuery can only be combined with other SearchQuerys, ' 'got {}.'.format(type(other)) ) if not self.config == other.config: raise TypeError("SearchQuery configs don't match.") if reversed: return CombinedSearchQuery(other, connector, self, self.config) return CombinedSearchQuery(self, connector, other, self.config) # On Combinable, these are not implemented to reduce confusion with Q. In # this case we are actually (ab)using them to do logical combination so # it's consistent with other usage in Django. def __or__(self, other): return self._combine(other, self.BITOR, False) def __ror__(self, other): return self._combine(other, self.BITOR, True) def __and__(self, other): return self._combine(other, self.BITAND, False) def __rand__(self, other): return self._combine(other, self.BITAND, True)
[τεκμηρίωση]class SearchQuery(SearchQueryCombinable, Value): invert = False _output_field = SearchQueryField() config = None def __init__(self, value, output_field=None, **extra): self.config = extra.pop('config', self.config) self.invert = extra.pop('invert', self.invert) super(SearchQuery, self).__init__(value, output_field=output_field) def resolve_expression(self, query=None, allow_joins=True, reuse=None, summarize=False, for_save=False): resolved = super(SearchQuery, self).resolve_expression(query, allow_joins, reuse, summarize, for_save) if self.config: if not hasattr(self.config, 'resolve_expression'): resolved.config = Value(self.config).resolve_expression(query, allow_joins, reuse, summarize, for_save) else: resolved.config = self.config.resolve_expression(query, allow_joins, reuse, summarize, for_save) return resolved def as_sql(self, compiler, connection): params = [self.value] if self.config: config_sql, config_params = compiler.compile(self.config) template = 'plainto_tsquery({}::regconfig, %s)'.format(config_sql) params = config_params + [self.value] else: template = 'plainto_tsquery(%s)' if self.invert: template = '!!({})'.format(template) return template, params def _combine(self, other, connector, reversed, node=None): combined = super(SearchQuery, self)._combine(other, connector, reversed, node) combined.output_field = SearchQueryField() return combined def __invert__(self): extra = { 'invert': not self.invert, 'config': self.config, } return type(self)(self.value, **extra)
class CombinedSearchQuery(SearchQueryCombinable, CombinedExpression): def __init__(self, lhs, connector, rhs, config, output_field=None): self.config = config super(CombinedSearchQuery, self).__init__(lhs, connector, rhs, output_field)
[τεκμηρίωση]class SearchRank(Func): function = 'ts_rank' _output_field = FloatField() def __init__(self, vector, query, **extra): if not hasattr(vector, 'resolve_expression'): vector = SearchVector(vector) if not hasattr(query, 'resolve_expression'): query = SearchQuery(query) weights = extra.get('weights') if weights is not None and not hasattr(weights, 'resolve_expression'): weights = Value(weights) self.weights = weights super(SearchRank, self).__init__(vector, query, **extra) def as_sql(self, compiler, connection, function=None, template=None): extra_params = [] extra_context = {} if template is None and self.extra.get('weights'): if self.weights: template = '%(function)s(%(weights)s, %(expressions)s)' weight_sql, extra_params = compiler.compile(self.weights) extra_context['weights'] = weight_sql sql, params = super(SearchRank, self).as_sql( compiler, connection, function=function, template=template, **extra_context ) return sql, extra_params + params
SearchVectorField.register_lookup(SearchVectorExact) class TrigramBase(Func): def __init__(self, expression, string, **extra): if not hasattr(string, 'resolve_expression'): string = Value(string) super(TrigramBase, self).__init__(expression, string, output_field=FloatField(), **extra)
[τεκμηρίωση]class TrigramSimilarity(TrigramBase): function = 'SIMILARITY'
[τεκμηρίωση]class TrigramDistance(TrigramBase): function = '' arg_joiner = ' <-> '
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