本文整理汇总了Python中sqlalchemy.ARRAY属性的典型用法代码示例。如果您正苦于以下问题:Python sqlalchemy.ARRAY属性的具体用法?Python sqlalchemy.ARRAY怎么用?Python sqlalchemy.ARRAY使用的例子?那么, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类sqlalchemy
的用法示例。
在下文中一共展示了sqlalchemy.ARRAY属性的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: upgrade
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def upgrade():
agentstatus.create(op.get_bind())
kernelstatus.create(op.get_bind())
op.add_column('agents', sa.Column('lost_at', sa.DateTime(timezone=True), nullable=True))
op.add_column('agents', sa.Column('status', sa.Enum('ALIVE', 'LOST', 'RESTARTING', 'TERMINATED', name='agentstatus'), nullable=False))
op.create_index(op.f('ix_agents_status'), 'agents', ['status'], unique=False)
op.add_column('kernels', sa.Column('agent_addr', sa.String(length=128), nullable=False))
op.add_column('kernels', sa.Column('cpu_slot', sa.Integer(), nullable=False))
op.add_column('kernels', sa.Column('gpu_slot', sa.Integer(), nullable=False))
op.add_column('kernels', sa.Column('mem_slot', sa.Integer(), nullable=False))
op.add_column('kernels', sa.Column('repl_in_port', sa.Integer(), nullable=False))
op.add_column('kernels', sa.Column('repl_out_port', sa.Integer(), nullable=False))
op.add_column('kernels', sa.Column('stdin_port', sa.Integer(), nullable=False))
op.add_column('kernels', sa.Column('stdout_port', sa.Integer(), nullable=False))
op.drop_column('kernels', 'allocated_cores')
op.add_column('kernels', sa.Column('cpu_set', sa.ARRAY(sa.Integer), nullable=True))
op.add_column('kernels', sa.Column('gpu_set', sa.ARRAY(sa.Integer), nullable=True))
op.alter_column('kernels', column_name='status', type_=sa.Enum(*kernelstatus_choices, name='kernelstatus'),
postgresql_using='status::kernelstatus')
示例2: downgrade
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def downgrade():
op.drop_column('kernels', 'stdout_port')
op.drop_column('kernels', 'stdin_port')
op.drop_column('kernels', 'repl_out_port')
op.drop_column('kernels', 'repl_in_port')
op.drop_column('kernels', 'mem_slot')
op.drop_column('kernels', 'gpu_slot')
op.drop_column('kernels', 'cpu_slot')
op.drop_column('kernels', 'agent_addr')
op.drop_index(op.f('ix_agents_status'), table_name='agents')
op.drop_column('agents', 'status')
op.drop_column('agents', 'lost_at')
op.alter_column('kernels', column_name='status', type_=sa.String(length=64))
op.add_column('kernels', sa.Column('allocated_cores', sa.ARRAY(sa.Integer), nullable=True))
op.drop_column('kernels', 'cpu_set')
op.drop_column('kernels', 'gpu_set')
agentstatus.drop(op.get_bind())
kernelstatus.drop(op.get_bind())
示例3: upgrade
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"github_installations",
sa.Column("id", sa.Integer(), autoincrement=True, nullable=False),
sa.Column("account_login", sa.String(), nullable=True),
sa.Column("account_id", sa.Integer(), nullable=True),
sa.Column("account_url", sa.String(), nullable=True),
sa.Column("account_type", sa.String(), nullable=True),
sa.Column("sender_id", sa.Integer(), nullable=True),
sa.Column("sender_login", sa.String(), nullable=True),
sa.Column("created_at", sa.DateTime(), nullable=True),
sa.Column(
"repositories",
sa.ARRAY(sa.Integer(), as_tuple=sa.ForeignKey("git_projects.id")),
nullable=True,
),
sa.PrimaryKeyConstraint("id"),
)
# ### end Alembic commands ###
开发者ID:packit-service,项目名称:packit-service,代码行数:22,代码来源:d7c2f99cd14d_add_a_table_for_github_installations.py
示例4: test_arrays_pg
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def test_arrays_pg(self, connection):
metadata = self.metadata
t1 = Table(
"t",
metadata,
Column("x", postgresql.ARRAY(Float)),
Column("y", postgresql.ARRAY(REAL)),
Column("z", postgresql.ARRAY(postgresql.DOUBLE_PRECISION)),
Column("q", postgresql.ARRAY(Numeric)),
)
metadata.create_all()
connection.execute(
t1.insert(), x=[5], y=[5], z=[6], q=[decimal.Decimal("6.4")]
)
row = connection.execute(t1.select()).first()
eq_(row, ([5], [5], [6], [decimal.Decimal("6.4")]))
示例5: test_arrays_base
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def test_arrays_base(self, connection):
metadata = self.metadata
t1 = Table(
"t",
metadata,
Column("x", sqltypes.ARRAY(Float)),
Column("y", sqltypes.ARRAY(REAL)),
Column("z", sqltypes.ARRAY(postgresql.DOUBLE_PRECISION)),
Column("q", sqltypes.ARRAY(Numeric)),
)
metadata.create_all()
connection.execute(
t1.insert(), x=[5], y=[5], z=[6], q=[decimal.Decimal("6.4")]
)
row = connection.execute(t1.select()).first()
eq_(row, ([5], [5], [6], [decimal.Decimal("6.4")]))
示例6: test_array_literal_getitem_multidim
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def test_array_literal_getitem_multidim(self):
obj = postgresql.array(
[postgresql.array([1, 2]), postgresql.array([3, 4])]
)
self.assert_compile(
obj,
"ARRAY[ARRAY[%(param_1)s, %(param_2)s], "
"ARRAY[%(param_3)s, %(param_4)s]]",
)
self.assert_compile(
obj[1],
"(ARRAY[ARRAY[%(param_1)s, %(param_2)s], "
"ARRAY[%(param_3)s, %(param_4)s]])[%(param_5)s]",
)
self.assert_compile(
obj[1][0],
"(ARRAY[ARRAY[%(param_1)s, %(param_2)s], "
"ARRAY[%(param_3)s, %(param_4)s]])[%(param_5)s][%(param_6)s]",
)
示例7: test_array_getitem_slice_type
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def test_array_getitem_slice_type(self):
m = MetaData()
arrtable = Table(
"arrtable",
m,
Column("intarr", postgresql.ARRAY(Integer)),
Column("strarr", postgresql.ARRAY(String)),
)
# type affinity is Array...
is_(arrtable.c.intarr[1:3].type._type_affinity, ARRAY)
is_(arrtable.c.strarr[1:3].type._type_affinity, ARRAY)
# but the slice returns the actual type
assert isinstance(arrtable.c.intarr[1:3].type, postgresql.ARRAY)
assert isinstance(arrtable.c.strarr[1:3].type, postgresql.ARRAY)
示例8: test_array_plus_native_enum_create
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def test_array_plus_native_enum_create(self):
m = MetaData()
t = Table(
"t",
m,
Column(
"data_1",
self.ARRAY(postgresql.ENUM("a", "b", "c", name="my_enum_1")),
),
Column(
"data_2",
self.ARRAY(types.Enum("a", "b", "c", name="my_enum_2")),
),
)
t.create(testing.db)
eq_(
set(e["name"] for e in inspect(testing.db).get_enums()),
set(["my_enum_1", "my_enum_2"]),
)
t.drop(testing.db)
eq_(inspect(testing.db).get_enums(), [])
示例9: upgrade
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.add_column('kernels', sa.Column('preopen_ports', sa.ARRAY(sa.Integer()), nullable=True))
# ### end Alembic commands ###
示例10: upgrade
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.add_column('kernels', sa.Column('tpu_set', sa.ARRAY(sa.Integer()), nullable=True))
op.add_column('kernels', sa.Column('tpu_slot', sa.Float(), nullable=False,
server_default='0'))
op.alter_column('kernels', 'tpu_slot', server_default=None)
# ### end Alembic commands ###
示例11: upgrade
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def upgrade():
op.add_column('kernels', sa.Column('environ', sa.ARRAY(sa.String()), nullable=True))
示例12: _get_adapted_type
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def _get_adapted_type(self, coltype, bind):
compiled_type = coltype.compile(bind.dialect)
for supercls in coltype.__class__.__mro__:
if not supercls.__name__.startswith("_") and hasattr(supercls, "__visit_name__"):
# Hack to fix adaptation of the Enum class which is broken since SQLAlchemy 1.2
kw = {}
if supercls is Enum:
kw["name"] = coltype.name
new_coltype = coltype.adapt(supercls)
for key, value in kw.items():
setattr(new_coltype, key, value)
# If the adapted column type does not render the same as the original, don't
# substitute it
if new_coltype.compile(bind.dialect) != compiled_type:
# Make an exception to the rule for Float, since at least on PostgreSQL,
# Float can accurately represent both REAL and DOUBLE_PRECISION
if not isinstance(new_coltype, Float):
break
if isinstance(coltype, ARRAY):
new_coltype.item_type = self._get_adapted_type(new_coltype.item_type, bind)
# Stop on the first valid non-uppercase column type class
coltype = new_coltype
if supercls.__name__ != supercls.__name__.upper():
break
return coltype
示例13: add_imports
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def add_imports(self, collector):
if self.table.columns:
collector.add_import(Column)
for column in self.table.columns:
collector.add_import(column.type)
if column.server_default:
collector.add_literal_import("sqlalchemy", "text")
if isinstance(column.type, ARRAY):
collector.add_import(column.type.item_type.__class__)
for constraint in sorted(self.table.constraints, key=_get_constraint_sort_key):
if isinstance(constraint, ForeignKeyConstraint):
if len(constraint.columns) > 1:
collector.add_literal_import("sqlalchemy", "ForeignKeyConstraint")
else:
collector.add_literal_import("sqlalchemy", "ForeignKey")
elif isinstance(constraint, UniqueConstraint):
if len(constraint.columns) > 1:
collector.add_literal_import("sqlalchemy", "UniqueConstraint")
elif not isinstance(constraint, PrimaryKeyConstraint):
collector.add_import(constraint)
for index in self.table.indexes:
if len(index.columns) > 1:
collector.add_import(index)
示例14: StringArray
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def StringArray(
*,
primary_key: bool = False,
allow_null: bool = False,
index: bool = False,
unique: bool = False,
) -> Type[str]:
namespace = dict(
primary_key=primary_key,
allow_null=allow_null,
index=index,
unique=unique,
column_type=sqlalchemy.ARRAY(sqlalchemy.String),
)
class StringArrayField(object):
@classmethod
def __get_validators__(cls) -> "CallableGenerator":
yield cls.validate
@classmethod
def validate(cls, v: Any) -> Any:
return v
return type("StringArray", (StringArrayField, ColumnFactory), namespace)
示例15: upgrade
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import ARRAY [as 别名]
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table('tokens',
sa.Column('id', sa.String(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('app_id', sa.String(), nullable=True),
sa.Column('redirect_url', sa.String(), nullable=True),
sa.Column('permissions', sa.ARRAY(sa.String()), nullable=True),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='SET NULL'),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_tokens_user_id'), 'tokens', ['user_id'], unique=False)
# ### end Alembic commands ###