ok
Mini Shell
"""
Collection of postgres-specific extensions, currently including:
* Support for hstore, a key/value type storage
"""
import json
import logging
import uuid
from peewee import *
from peewee import ColumnBase
from peewee import Expression
from peewee import Node
from peewee import NodeList
from peewee import __deprecated__
from peewee import __exception_wrapper__
try:
from psycopg2cffi import compat
compat.register()
except ImportError:
pass
try:
from psycopg2.extras import register_hstore
except ImportError:
def register_hstore(c, globally):
pass
try:
from psycopg2.extras import Json
except:
Json = None
logger = logging.getLogger('peewee')
HCONTAINS_DICT = '@>'
HCONTAINS_KEYS = '?&'
HCONTAINS_KEY = '?'
HCONTAINS_ANY_KEY = '?|'
HKEY = '->'
HUPDATE = '||'
ACONTAINS = '@>'
ACONTAINED_BY = '<@'
ACONTAINS_ANY = '&&'
TS_MATCH = '@@'
JSONB_CONTAINS = '@>'
JSONB_CONTAINED_BY = '<@'
JSONB_CONTAINS_KEY = '?'
JSONB_CONTAINS_ANY_KEY = '?|'
JSONB_CONTAINS_ALL_KEYS = '?&'
JSONB_EXISTS = '?'
JSONB_REMOVE = '-'
class _LookupNode(ColumnBase):
def __init__(self, node, parts):
self.node = node
self.parts = parts
super(_LookupNode, self).__init__()
def clone(self):
return type(self)(self.node, list(self.parts))
def __hash__(self):
return hash((self.__class__.__name__, id(self)))
class _JsonLookupBase(_LookupNode):
def __init__(self, node, parts, as_json=False):
super(_JsonLookupBase, self).__init__(node, parts)
self._as_json = as_json
def clone(self):
return type(self)(self.node, list(self.parts), self._as_json)
@Node.copy
def as_json(self, as_json=True):
self._as_json = as_json
def concat(self, rhs):
if not isinstance(rhs, Node):
rhs = Json(rhs)
return Expression(self.as_json(True), OP.CONCAT, rhs)
def contains(self, other):
clone = self.as_json(True)
if isinstance(other, (list, dict)):
return Expression(clone, JSONB_CONTAINS, Json(other))
return Expression(clone, JSONB_EXISTS, other)
def contains_any(self, *keys):
return Expression(
self.as_json(True),
JSONB_CONTAINS_ANY_KEY,
Value(list(keys), unpack=False))
def contains_all(self, *keys):
return Expression(
self.as_json(True),
JSONB_CONTAINS_ALL_KEYS,
Value(list(keys), unpack=False))
def has_key(self, key):
return Expression(self.as_json(True), JSONB_CONTAINS_KEY, key)
class JsonLookup(_JsonLookupBase):
def __getitem__(self, value):
return JsonLookup(self.node, self.parts + [value], self._as_json)
def __sql__(self, ctx):
ctx.sql(self.node)
for part in self.parts[:-1]:
ctx.literal('->').sql(part)
if self.parts:
(ctx
.literal('->' if self._as_json else '->>')
.sql(self.parts[-1]))
return ctx
class JsonPath(_JsonLookupBase):
def __sql__(self, ctx):
return (ctx
.sql(self.node)
.literal('#>' if self._as_json else '#>>')
.sql(Value('{%s}' % ','.join(map(str, self.parts)))))
class ObjectSlice(_LookupNode):
@classmethod
def create(cls, node, value):
if isinstance(value, slice):
parts = [value.start or 0, value.stop or 0]
elif isinstance(value, int):
parts = [value]
elif isinstance(value, Node):
parts = value
else:
# Assumes colon-separated integer indexes.
parts = [int(i) for i in value.split(':')]
return cls(node, parts)
def __sql__(self, ctx):
ctx.sql(self.node)
if isinstance(self.parts, Node):
ctx.literal('[').sql(self.parts).literal(']')
else:
ctx.literal('[%s]' % ':'.join(str(p + 1) for p in self.parts))
return ctx
def __getitem__(self, value):
return ObjectSlice.create(self, value)
class IndexedFieldMixin(object):
default_index_type = 'GIN'
def __init__(self, *args, **kwargs):
kwargs.setdefault('index', True) # By default, use an index.
super(IndexedFieldMixin, self).__init__(*args, **kwargs)
class ArrayField(IndexedFieldMixin, Field):
passthrough = True
def __init__(self, field_class=IntegerField, field_kwargs=None,
dimensions=1, convert_values=False, *args, **kwargs):
self.__field = field_class(**(field_kwargs or {}))
self.dimensions = dimensions
self.convert_values = convert_values
self.field_type = self.__field.field_type
super(ArrayField, self).__init__(*args, **kwargs)
def bind(self, model, name, set_attribute=True):
ret = super(ArrayField, self).bind(model, name, set_attribute)
self.__field.bind(model, '__array_%s' % name, False)
return ret
def ddl_datatype(self, ctx):
data_type = self.__field.ddl_datatype(ctx)
return NodeList((data_type, SQL('[]' * self.dimensions)), glue='')
def db_value(self, value):
if value is None or isinstance(value, Node):
return value
elif self.convert_values:
return self._process(self.__field.db_value, value, self.dimensions)
else:
return value if isinstance(value, list) else list(value)
def python_value(self, value):
if self.convert_values and value is not None:
conv = self.__field.python_value
if isinstance(value, list):
return self._process(conv, value, self.dimensions)
else:
return conv(value)
else:
return value
def _process(self, conv, value, dimensions):
dimensions -= 1
if dimensions == 0:
return [conv(v) for v in value]
else:
return [self._process(conv, v, dimensions) for v in value]
def __getitem__(self, value):
return ObjectSlice.create(self, value)
def _e(op):
def inner(self, rhs):
return Expression(self, op, ArrayValue(self, rhs))
return inner
__eq__ = _e(OP.EQ)
__ne__ = _e(OP.NE)
__gt__ = _e(OP.GT)
__ge__ = _e(OP.GTE)
__lt__ = _e(OP.LT)
__le__ = _e(OP.LTE)
__hash__ = Field.__hash__
def contains(self, *items):
return Expression(self, ACONTAINS, ArrayValue(self, items))
def contains_any(self, *items):
return Expression(self, ACONTAINS_ANY, ArrayValue(self, items))
def contained_by(self, *items):
return Expression(self, ACONTAINED_BY, ArrayValue(self, items))
class ArrayValue(Node):
def __init__(self, field, value):
self.field = field
self.value = value
def __sql__(self, ctx):
return (ctx
.sql(Value(self.value, unpack=False))
.literal('::')
.sql(self.field.ddl_datatype(ctx)))
class DateTimeTZField(DateTimeField):
field_type = 'TIMESTAMPTZ'
class HStoreField(IndexedFieldMixin, Field):
field_type = 'HSTORE'
__hash__ = Field.__hash__
def __getitem__(self, key):
return Expression(self, HKEY, Value(key))
def keys(self):
return fn.akeys(self)
def values(self):
return fn.avals(self)
def items(self):
return fn.hstore_to_matrix(self)
def slice(self, *args):
return fn.slice(self, Value(list(args), unpack=False))
def exists(self, key):
return fn.exist(self, key)
def defined(self, key):
return fn.defined(self, key)
def update(self, **data):
return Expression(self, HUPDATE, data)
def delete(self, *keys):
return fn.delete(self, Value(list(keys), unpack=False))
def contains(self, value):
if isinstance(value, dict):
rhs = Value(value, unpack=False)
return Expression(self, HCONTAINS_DICT, rhs)
elif isinstance(value, (list, tuple)):
rhs = Value(value, unpack=False)
return Expression(self, HCONTAINS_KEYS, rhs)
return Expression(self, HCONTAINS_KEY, value)
def contains_any(self, *keys):
return Expression(self, HCONTAINS_ANY_KEY, Value(list(keys),
unpack=False))
class JSONField(Field):
field_type = 'JSON'
_json_datatype = 'json'
def __init__(self, dumps=None, *args, **kwargs):
if Json is None:
raise Exception('Your version of psycopg2 does not support JSON.')
self.dumps = dumps or json.dumps
super(JSONField, self).__init__(*args, **kwargs)
def db_value(self, value):
if value is None:
return value
if not isinstance(value, Json):
return Cast(self.dumps(value), self._json_datatype)
return value
def __getitem__(self, value):
return JsonLookup(self, [value])
def path(self, *keys):
return JsonPath(self, keys)
def concat(self, value):
if not isinstance(value, Node):
value = Json(value)
return super(JSONField, self).concat(value)
def cast_jsonb(node):
return NodeList((node, SQL('::jsonb')), glue='')
class BinaryJSONField(IndexedFieldMixin, JSONField):
field_type = 'JSONB'
_json_datatype = 'jsonb'
__hash__ = Field.__hash__
def contains(self, other):
if isinstance(other, (list, dict)):
return Expression(self, JSONB_CONTAINS, Json(other))
elif isinstance(other, JSONField):
return Expression(self, JSONB_CONTAINS, other)
return Expression(cast_jsonb(self), JSONB_EXISTS, other)
def contained_by(self, other):
return Expression(cast_jsonb(self), JSONB_CONTAINED_BY, Json(other))
def contains_any(self, *items):
return Expression(
cast_jsonb(self),
JSONB_CONTAINS_ANY_KEY,
Value(list(items), unpack=False))
def contains_all(self, *items):
return Expression(
cast_jsonb(self),
JSONB_CONTAINS_ALL_KEYS,
Value(list(items), unpack=False))
def has_key(self, key):
return Expression(cast_jsonb(self), JSONB_CONTAINS_KEY, key)
def remove(self, *items):
return Expression(
cast_jsonb(self),
JSONB_REMOVE,
Value(list(items), unpack=False))
class TSVectorField(IndexedFieldMixin, TextField):
field_type = 'TSVECTOR'
__hash__ = Field.__hash__
def match(self, query, language=None, plain=False):
params = (language, query) if language is not None else (query,)
func = fn.plainto_tsquery if plain else fn.to_tsquery
return Expression(self, TS_MATCH, func(*params))
def Match(field, query, language=None):
params = (language, query) if language is not None else (query,)
field_params = (language, field) if language is not None else (field,)
return Expression(
fn.to_tsvector(*field_params),
TS_MATCH,
fn.to_tsquery(*params))
class IntervalField(Field):
field_type = 'INTERVAL'
class FetchManyCursor(object):
__slots__ = ('cursor', 'array_size', 'exhausted', 'iterable')
def __init__(self, cursor, array_size=None):
self.cursor = cursor
self.array_size = array_size or cursor.itersize
self.exhausted = False
self.iterable = self.row_gen()
@property
def description(self):
return self.cursor.description
def close(self):
self.cursor.close()
def row_gen(self):
while True:
rows = self.cursor.fetchmany(self.array_size)
if not rows:
return
for row in rows:
yield row
def fetchone(self):
if self.exhausted:
return
try:
return next(self.iterable)
except StopIteration:
self.exhausted = True
class ServerSideQuery(Node):
def __init__(self, query, array_size=None):
self.query = query
self.array_size = array_size
self._cursor_wrapper = None
def __sql__(self, ctx):
return self.query.__sql__(ctx)
def __iter__(self):
if self._cursor_wrapper is None:
self._execute(self.query._database)
return iter(self._cursor_wrapper.iterator())
def _execute(self, database):
if self._cursor_wrapper is None:
cursor = database.execute(self.query, named_cursor=True,
array_size=self.array_size)
self._cursor_wrapper = self.query._get_cursor_wrapper(cursor)
return self._cursor_wrapper
def ServerSide(query, database=None, array_size=None):
if database is None:
database = query._database
with database.transaction():
server_side_query = ServerSideQuery(query, array_size=array_size)
for row in server_side_query:
yield row
class _empty_object(object):
__slots__ = ()
def __nonzero__(self):
return False
__bool__ = __nonzero__
class PostgresqlExtDatabase(PostgresqlDatabase):
def __init__(self, *args, **kwargs):
self._register_hstore = kwargs.pop('register_hstore', False)
self._server_side_cursors = kwargs.pop('server_side_cursors', False)
super(PostgresqlExtDatabase, self).__init__(*args, **kwargs)
def _connect(self):
conn = super(PostgresqlExtDatabase, self)._connect()
if self._register_hstore:
register_hstore(conn, globally=True)
return conn
def cursor(self, commit=None, named_cursor=None):
if commit is not None:
__deprecated__('"commit" has been deprecated and is a no-op.')
if self.is_closed():
if self.autoconnect:
self.connect()
else:
raise InterfaceError('Error, database connection not opened.')
if named_cursor:
curs = self._state.conn.cursor(name=str(uuid.uuid1()))
return curs
return self._state.conn.cursor()
def execute(self, query, commit=None, named_cursor=False, array_size=None,
**context_options):
if commit is not None:
__deprecated__('"commit" has been deprecated and is a no-op.')
ctx = self.get_sql_context(**context_options)
sql, params = ctx.sql(query).query()
named_cursor = named_cursor or (self._server_side_cursors and
sql[:6].lower() == 'select')
cursor = self.execute_sql(sql, params)
if named_cursor:
cursor = FetchManyCursor(cursor, array_size)
return cursor
Zerion Mini Shell 1.0