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from sqlalchemy import Table, MetaData, Index, select, Column, \
ForeignKeyConstraint, cast
from sqlalchemy import types as sqltypes
from sqlalchemy import schema as sql_schema
from sqlalchemy.util import OrderedDict
from .. import util
from ..util.sqla_compat import _columns_for_constraint, _is_type_bound
class BatchOperationsImpl(object):
def __init__(self, operations, table_name, schema, recreate,
copy_from, table_args, table_kwargs,
reflect_args, reflect_kwargs, naming_convention):
if not util.sqla_08:
raise NotImplementedError(
"batch mode requires SQLAlchemy 0.8 or greater.")
self.operations = operations
self.table_name = table_name
self.schema = schema
if recreate not in ('auto', 'always', 'never'):
raise ValueError(
"recreate may be one of 'auto', 'always', or 'never'.")
self.recreate = recreate
self.copy_from = copy_from
self.table_args = table_args
self.table_kwargs = dict(table_kwargs)
self.reflect_args = reflect_args
self.reflect_kwargs = reflect_kwargs
self.naming_convention = naming_convention
self.batch = []
@property
def dialect(self):
return self.operations.impl.dialect
@property
def impl(self):
return self.operations.impl
def _should_recreate(self):
if self.recreate == 'auto':
return self.operations.impl.requires_recreate_in_batch(self)
elif self.recreate == 'always':
return True
else:
return False
def flush(self):
should_recreate = self._should_recreate()
if not should_recreate:
for opname, arg, kw in self.batch:
fn = getattr(self.operations.impl, opname)
fn(*arg, **kw)
else:
if self.naming_convention:
m1 = MetaData(naming_convention=self.naming_convention)
else:
m1 = MetaData()
if self.copy_from is not None:
existing_table = self.copy_from
else:
existing_table = Table(
self.table_name, m1,
schema=self.schema,
autoload=True,
autoload_with=self.operations.get_bind(),
*self.reflect_args, **self.reflect_kwargs)
batch_impl = ApplyBatchImpl(
existing_table, self.table_args, self.table_kwargs)
for opname, arg, kw in self.batch:
fn = getattr(batch_impl, opname)
fn(*arg, **kw)
batch_impl._create(self.impl)
def alter_column(self, *arg, **kw):
self.batch.append(("alter_column", arg, kw))
def add_column(self, *arg, **kw):
self.batch.append(("add_column", arg, kw))
def drop_column(self, *arg, **kw):
self.batch.append(("drop_column", arg, kw))
def add_constraint(self, const):
self.batch.append(("add_constraint", (const,), {}))
def drop_constraint(self, const):
self.batch.append(("drop_constraint", (const, ), {}))
def rename_table(self, *arg, **kw):
self.batch.append(("rename_table", arg, kw))
def create_index(self, idx):
self.batch.append(("create_index", (idx,), {}))
def drop_index(self, idx):
self.batch.append(("drop_index", (idx,), {}))
def create_table(self, table):
raise NotImplementedError("Can't create table in batch mode")
def drop_table(self, table):
raise NotImplementedError("Can't drop table in batch mode")
class ApplyBatchImpl(object):
def __init__(self, table, table_args, table_kwargs):
self.table = table # this is a Table object
self.table_args = table_args
self.table_kwargs = table_kwargs
self.new_table = None
self.column_transfers = OrderedDict(
(c.name, {'expr': c}) for c in self.table.c
)
self._grab_table_elements()
def _grab_table_elements(self):
schema = self.table.schema
self.columns = OrderedDict()
for c in self.table.c:
c_copy = c.copy(schema=schema)
c_copy.unique = c_copy.index = False
self.columns[c.name] = c_copy
self.named_constraints = {}
self.unnamed_constraints = []
self.indexes = {}
self.new_indexes = {}
for const in self.table.constraints:
if _is_type_bound(const):
continue
if const.name:
self.named_constraints[const.name] = const
else:
self.unnamed_constraints.append(const)
for idx in self.table.indexes:
self.indexes[idx.name] = idx
for k in self.table.kwargs:
self.table_kwargs.setdefault(k, self.table.kwargs[k])
def _transfer_elements_to_new_table(self):
assert self.new_table is None, "Can only create new table once"
m = MetaData()
schema = self.table.schema
self.new_table = new_table = Table(
'_alembic_batch_temp', m,
*(list(self.columns.values()) + list(self.table_args)),
schema=schema,
**self.table_kwargs)
for const in list(self.named_constraints.values()) + \
self.unnamed_constraints:
const_columns = set([
c.key for c in _columns_for_constraint(const)])
if not const_columns.issubset(self.column_transfers):
continue
const_copy = const.copy(schema=schema, target_table=new_table)
if isinstance(const, ForeignKeyConstraint):
self._setup_referent(m, const)
new_table.append_constraint(const_copy)
def _gather_indexes_from_both_tables(self):
idx = []
idx.extend(self.indexes.values())
for index in self.new_indexes.values():
idx.append(
Index(
index.name,
unique=index.unique,
*[self.new_table.c[col] for col in index.columns.keys()],
**index.kwargs)
)
return idx
def _setup_referent(self, metadata, constraint):
spec = constraint.elements[0]._get_colspec()
parts = spec.split(".")
tname = parts[-2]
if len(parts) == 3:
referent_schema = parts[0]
else:
referent_schema = None
if tname != '_alembic_batch_temp':
key = sql_schema._get_table_key(tname, referent_schema)
if key in metadata.tables:
t = metadata.tables[key]
for elem in constraint.elements:
colname = elem._get_colspec().split(".")[-1]
if not t.c.contains_column(colname):
t.append_column(
Column(colname, sqltypes.NULLTYPE)
)
else:
Table(
tname, metadata,
*[Column(n, sqltypes.NULLTYPE) for n in
[elem._get_colspec().split(".")[-1]
for elem in constraint.elements]],
schema=referent_schema)
def _create(self, op_impl):
self._transfer_elements_to_new_table()
op_impl.prep_table_for_batch(self.table)
op_impl.create_table(self.new_table)
try:
op_impl._exec(
self.new_table.insert(inline=True).from_select(
list(k for k, transfer in
self.column_transfers.items() if 'expr' in transfer),
select([
transfer['expr']
for transfer in self.column_transfers.values()
if 'expr' in transfer
])
)
)
op_impl.drop_table(self.table)
except:
op_impl.drop_table(self.new_table)
raise
else:
op_impl.rename_table(
"_alembic_batch_temp",
self.table.name,
schema=self.table.schema
)
self.new_table.name = self.table.name
try:
for idx in self._gather_indexes_from_both_tables():
op_impl.create_index(idx)
finally:
self.new_table.name = "_alembic_batch_temp"
def alter_column(self, table_name, column_name,
nullable=None,
server_default=False,
name=None,
type_=None,
autoincrement=None,
**kw
):
existing = self.columns[column_name]
existing_transfer = self.column_transfers[column_name]
if name is not None and name != column_name:
# note that we don't change '.key' - we keep referring
# to the renamed column by its old key in _create(). neat!
existing.name = name
existing_transfer["name"] = name
if type_ is not None:
type_ = sqltypes.to_instance(type_)
existing.type = type_
existing_transfer["expr"] = cast(existing_transfer["expr"], type_)
if nullable is not None:
existing.nullable = nullable
if server_default is not False:
existing.server_default = server_default
if autoincrement is not None:
existing.autoincrement = bool(autoincrement)
def add_column(self, table_name, column, **kw):
# we copy the column because operations.add_column()
# gives us a Column that is part of a Table already.
self.columns[column.name] = column.copy(schema=self.table.schema)
self.column_transfers[column.name] = {}
def drop_column(self, table_name, column, **kw):
del self.columns[column.name]
del self.column_transfers[column.name]
def add_constraint(self, const):
if not const.name:
raise ValueError("Constraint must have a name")
if isinstance(const, sql_schema.PrimaryKeyConstraint):
if self.table.primary_key in self.unnamed_constraints:
self.unnamed_constraints.remove(self.table.primary_key)
self.named_constraints[const.name] = const
def drop_constraint(self, const):
if not const.name:
raise ValueError("Constraint must have a name")
try:
del self.named_constraints[const.name]
except KeyError:
raise ValueError("No such constraint: '%s'" % const.name)
def create_index(self, idx):
self.new_indexes[idx.name] = idx
def drop_index(self, idx):
try:
del self.indexes[idx.name]
except KeyError:
raise ValueError("No such index: '%s'" % idx.name)
def rename_table(self, *arg, **kw):
raise NotImplementedError("TODO")
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