mirror of https://github.com/morpheus65535/bazarr
498 lines
14 KiB
Python
498 lines
14 KiB
Python
"""
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Collection of postgres-specific extensions, currently including:
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* Support for hstore, a key/value type storage
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"""
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import json
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import logging
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import uuid
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from peewee import *
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from peewee import ColumnBase
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from peewee import Expression
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from peewee import Node
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from peewee import NodeList
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from peewee import SENTINEL
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from peewee import __exception_wrapper__
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try:
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from psycopg2cffi import compat
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compat.register()
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except ImportError:
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pass
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try:
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from psycopg2.extras import register_hstore
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except ImportError:
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def register_hstore(c, globally):
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pass
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try:
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from psycopg2.extras import Json
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except:
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Json = None
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logger = logging.getLogger('peewee')
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HCONTAINS_DICT = '@>'
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HCONTAINS_KEYS = '?&'
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HCONTAINS_KEY = '?'
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HCONTAINS_ANY_KEY = '?|'
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HKEY = '->'
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HUPDATE = '||'
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ACONTAINS = '@>'
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ACONTAINED_BY = '<@'
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ACONTAINS_ANY = '&&'
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TS_MATCH = '@@'
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JSONB_CONTAINS = '@>'
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JSONB_CONTAINED_BY = '<@'
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JSONB_CONTAINS_KEY = '?'
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JSONB_CONTAINS_ANY_KEY = '?|'
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JSONB_CONTAINS_ALL_KEYS = '?&'
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JSONB_EXISTS = '?'
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JSONB_REMOVE = '-'
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class _LookupNode(ColumnBase):
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def __init__(self, node, parts):
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self.node = node
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self.parts = parts
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super(_LookupNode, self).__init__()
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def clone(self):
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return type(self)(self.node, list(self.parts))
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def __hash__(self):
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return hash((self.__class__.__name__, id(self)))
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class _JsonLookupBase(_LookupNode):
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def __init__(self, node, parts, as_json=False):
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super(_JsonLookupBase, self).__init__(node, parts)
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self._as_json = as_json
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def clone(self):
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return type(self)(self.node, list(self.parts), self._as_json)
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@Node.copy
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def as_json(self, as_json=True):
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self._as_json = as_json
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def concat(self, rhs):
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if not isinstance(rhs, Node):
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rhs = Json(rhs)
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return Expression(self.as_json(True), OP.CONCAT, rhs)
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def contains(self, other):
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clone = self.as_json(True)
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if isinstance(other, (list, dict)):
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return Expression(clone, JSONB_CONTAINS, Json(other))
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return Expression(clone, JSONB_EXISTS, other)
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def contains_any(self, *keys):
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return Expression(
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self.as_json(True),
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JSONB_CONTAINS_ANY_KEY,
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Value(list(keys), unpack=False))
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def contains_all(self, *keys):
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return Expression(
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self.as_json(True),
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JSONB_CONTAINS_ALL_KEYS,
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Value(list(keys), unpack=False))
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def has_key(self, key):
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return Expression(self.as_json(True), JSONB_CONTAINS_KEY, key)
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class JsonLookup(_JsonLookupBase):
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def __getitem__(self, value):
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return JsonLookup(self.node, self.parts + [value], self._as_json)
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def __sql__(self, ctx):
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ctx.sql(self.node)
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for part in self.parts[:-1]:
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ctx.literal('->').sql(part)
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if self.parts:
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(ctx
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.literal('->' if self._as_json else '->>')
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.sql(self.parts[-1]))
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return ctx
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class JsonPath(_JsonLookupBase):
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def __sql__(self, ctx):
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return (ctx
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.sql(self.node)
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.literal('#>' if self._as_json else '#>>')
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.sql(Value('{%s}' % ','.join(map(str, self.parts)))))
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class ObjectSlice(_LookupNode):
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@classmethod
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def create(cls, node, value):
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if isinstance(value, slice):
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parts = [value.start or 0, value.stop or 0]
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elif isinstance(value, int):
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parts = [value]
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elif isinstance(value, Node):
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parts = value
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else:
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# Assumes colon-separated integer indexes.
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parts = [int(i) for i in value.split(':')]
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return cls(node, parts)
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def __sql__(self, ctx):
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ctx.sql(self.node)
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if isinstance(self.parts, Node):
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ctx.literal('[').sql(self.parts).literal(']')
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else:
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ctx.literal('[%s]' % ':'.join(str(p + 1) for p in self.parts))
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return ctx
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def __getitem__(self, value):
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return ObjectSlice.create(self, value)
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class IndexedFieldMixin(object):
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default_index_type = 'GIN'
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def __init__(self, *args, **kwargs):
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kwargs.setdefault('index', True) # By default, use an index.
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super(IndexedFieldMixin, self).__init__(*args, **kwargs)
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class ArrayField(IndexedFieldMixin, Field):
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passthrough = True
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def __init__(self, field_class=IntegerField, field_kwargs=None,
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dimensions=1, convert_values=False, *args, **kwargs):
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self.__field = field_class(**(field_kwargs or {}))
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self.dimensions = dimensions
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self.convert_values = convert_values
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self.field_type = self.__field.field_type
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super(ArrayField, self).__init__(*args, **kwargs)
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def bind(self, model, name, set_attribute=True):
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ret = super(ArrayField, self).bind(model, name, set_attribute)
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self.__field.bind(model, '__array_%s' % name, False)
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return ret
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def ddl_datatype(self, ctx):
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data_type = self.__field.ddl_datatype(ctx)
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return NodeList((data_type, SQL('[]' * self.dimensions)), glue='')
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def db_value(self, value):
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if value is None or isinstance(value, Node):
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return value
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elif self.convert_values:
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return self._process(self.__field.db_value, value, self.dimensions)
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else:
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return value if isinstance(value, list) else list(value)
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def python_value(self, value):
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if self.convert_values and value is not None:
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conv = self.__field.python_value
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if isinstance(value, list):
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return self._process(conv, value, self.dimensions)
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else:
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return conv(value)
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else:
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return value
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def _process(self, conv, value, dimensions):
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dimensions -= 1
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if dimensions == 0:
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return [conv(v) for v in value]
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else:
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return [self._process(conv, v, dimensions) for v in value]
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def __getitem__(self, value):
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return ObjectSlice.create(self, value)
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def _e(op):
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def inner(self, rhs):
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return Expression(self, op, ArrayValue(self, rhs))
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return inner
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__eq__ = _e(OP.EQ)
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__ne__ = _e(OP.NE)
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__gt__ = _e(OP.GT)
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__ge__ = _e(OP.GTE)
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__lt__ = _e(OP.LT)
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__le__ = _e(OP.LTE)
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__hash__ = Field.__hash__
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def contains(self, *items):
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return Expression(self, ACONTAINS, ArrayValue(self, items))
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def contains_any(self, *items):
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return Expression(self, ACONTAINS_ANY, ArrayValue(self, items))
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def contained_by(self, *items):
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return Expression(self, ACONTAINED_BY, ArrayValue(self, items))
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class ArrayValue(Node):
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def __init__(self, field, value):
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self.field = field
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self.value = value
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def __sql__(self, ctx):
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return (ctx
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.sql(Value(self.value, unpack=False))
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.literal('::')
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.sql(self.field.ddl_datatype(ctx)))
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class DateTimeTZField(DateTimeField):
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field_type = 'TIMESTAMPTZ'
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class HStoreField(IndexedFieldMixin, Field):
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field_type = 'HSTORE'
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__hash__ = Field.__hash__
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def __getitem__(self, key):
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return Expression(self, HKEY, Value(key))
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def keys(self):
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return fn.akeys(self)
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def values(self):
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return fn.avals(self)
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def items(self):
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return fn.hstore_to_matrix(self)
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def slice(self, *args):
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return fn.slice(self, Value(list(args), unpack=False))
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def exists(self, key):
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return fn.exist(self, key)
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def defined(self, key):
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return fn.defined(self, key)
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def update(self, **data):
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return Expression(self, HUPDATE, data)
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def delete(self, *keys):
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return fn.delete(self, Value(list(keys), unpack=False))
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def contains(self, value):
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if isinstance(value, dict):
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rhs = Value(value, unpack=False)
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return Expression(self, HCONTAINS_DICT, rhs)
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elif isinstance(value, (list, tuple)):
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rhs = Value(value, unpack=False)
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return Expression(self, HCONTAINS_KEYS, rhs)
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return Expression(self, HCONTAINS_KEY, value)
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def contains_any(self, *keys):
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return Expression(self, HCONTAINS_ANY_KEY, Value(list(keys),
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unpack=False))
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class JSONField(Field):
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field_type = 'JSON'
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_json_datatype = 'json'
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def __init__(self, dumps=None, *args, **kwargs):
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if Json is None:
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raise Exception('Your version of psycopg2 does not support JSON.')
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self.dumps = dumps or json.dumps
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super(JSONField, self).__init__(*args, **kwargs)
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def db_value(self, value):
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if value is None:
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return value
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if not isinstance(value, Json):
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return Cast(self.dumps(value), self._json_datatype)
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return value
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def __getitem__(self, value):
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return JsonLookup(self, [value])
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def path(self, *keys):
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return JsonPath(self, keys)
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def concat(self, value):
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if not isinstance(value, Node):
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value = Json(value)
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return super(JSONField, self).concat(value)
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def cast_jsonb(node):
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return NodeList((node, SQL('::jsonb')), glue='')
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class BinaryJSONField(IndexedFieldMixin, JSONField):
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field_type = 'JSONB'
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_json_datatype = 'jsonb'
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__hash__ = Field.__hash__
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def contains(self, other):
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if isinstance(other, (list, dict)):
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return Expression(self, JSONB_CONTAINS, Json(other))
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elif isinstance(other, JSONField):
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return Expression(self, JSONB_CONTAINS, other)
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return Expression(cast_jsonb(self), JSONB_EXISTS, other)
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def contained_by(self, other):
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return Expression(cast_jsonb(self), JSONB_CONTAINED_BY, Json(other))
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def contains_any(self, *items):
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return Expression(
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cast_jsonb(self),
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JSONB_CONTAINS_ANY_KEY,
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Value(list(items), unpack=False))
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def contains_all(self, *items):
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return Expression(
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cast_jsonb(self),
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JSONB_CONTAINS_ALL_KEYS,
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Value(list(items), unpack=False))
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def has_key(self, key):
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return Expression(cast_jsonb(self), JSONB_CONTAINS_KEY, key)
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def remove(self, *items):
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return Expression(
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cast_jsonb(self),
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JSONB_REMOVE,
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Value(list(items), unpack=False))
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class TSVectorField(IndexedFieldMixin, TextField):
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field_type = 'TSVECTOR'
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__hash__ = Field.__hash__
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def match(self, query, language=None, plain=False):
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params = (language, query) if language is not None else (query,)
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func = fn.plainto_tsquery if plain else fn.to_tsquery
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return Expression(self, TS_MATCH, func(*params))
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def Match(field, query, language=None):
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params = (language, query) if language is not None else (query,)
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field_params = (language, field) if language is not None else (field,)
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return Expression(
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fn.to_tsvector(*field_params),
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TS_MATCH,
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fn.to_tsquery(*params))
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class IntervalField(Field):
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field_type = 'INTERVAL'
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class FetchManyCursor(object):
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__slots__ = ('cursor', 'array_size', 'exhausted', 'iterable')
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def __init__(self, cursor, array_size=None):
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self.cursor = cursor
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self.array_size = array_size or cursor.itersize
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self.exhausted = False
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self.iterable = self.row_gen()
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@property
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def description(self):
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return self.cursor.description
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def close(self):
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self.cursor.close()
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def row_gen(self):
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while True:
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rows = self.cursor.fetchmany(self.array_size)
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if not rows:
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return
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for row in rows:
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yield row
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def fetchone(self):
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if self.exhausted:
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return
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try:
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return next(self.iterable)
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except StopIteration:
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self.exhausted = True
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class ServerSideQuery(Node):
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def __init__(self, query, array_size=None):
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self.query = query
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self.array_size = array_size
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self._cursor_wrapper = None
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def __sql__(self, ctx):
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return self.query.__sql__(ctx)
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def __iter__(self):
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if self._cursor_wrapper is None:
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self._execute(self.query._database)
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return iter(self._cursor_wrapper.iterator())
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def _execute(self, database):
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if self._cursor_wrapper is None:
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cursor = database.execute(self.query, named_cursor=True,
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array_size=self.array_size)
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self._cursor_wrapper = self.query._get_cursor_wrapper(cursor)
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return self._cursor_wrapper
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def ServerSide(query, database=None, array_size=None):
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if database is None:
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database = query._database
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with database.transaction():
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server_side_query = ServerSideQuery(query, array_size=array_size)
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for row in server_side_query:
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yield row
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class _empty_object(object):
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__slots__ = ()
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def __nonzero__(self):
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return False
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__bool__ = __nonzero__
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__named_cursor__ = _empty_object()
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class PostgresqlExtDatabase(PostgresqlDatabase):
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def __init__(self, *args, **kwargs):
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self._register_hstore = kwargs.pop('register_hstore', False)
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self._server_side_cursors = kwargs.pop('server_side_cursors', False)
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super(PostgresqlExtDatabase, self).__init__(*args, **kwargs)
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def _connect(self):
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conn = super(PostgresqlExtDatabase, self)._connect()
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if self._register_hstore:
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register_hstore(conn, globally=True)
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return conn
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def cursor(self, commit=None):
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if self.is_closed():
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if self.autoconnect:
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self.connect()
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else:
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raise InterfaceError('Error, database connection not opened.')
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if commit is __named_cursor__:
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return self._state.conn.cursor(name=str(uuid.uuid1()))
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return self._state.conn.cursor()
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def execute(self, query, commit=SENTINEL, named_cursor=False,
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array_size=None, **context_options):
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ctx = self.get_sql_context(**context_options)
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sql, params = ctx.sql(query).query()
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named_cursor = named_cursor or (self._server_side_cursors and
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sql[:6].lower() == 'select')
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if named_cursor:
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commit = __named_cursor__
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cursor = self.execute_sql(sql, params, commit=commit)
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if named_cursor:
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cursor = FetchManyCursor(cursor, array_size)
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return cursor
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