""" Schema module providing common schema operations. """ import abc try: # Python 3 from collections.abc import MutableMapping as DictMixin except ImportError: # Python 2 from UserDict import DictMixin import warnings import sqlalchemy from sqlalchemy.schema import ForeignKeyConstraint from sqlalchemy.schema import UniqueConstraint from rhodecode.lib.dbmigrate.migrate.exceptions import * from rhodecode.lib.dbmigrate.migrate.changeset import SQLA_07, SQLA_08 from rhodecode.lib.dbmigrate.migrate.changeset import util from rhodecode.lib.dbmigrate.migrate.changeset.databases.visitor import ( get_engine_visitor, run_single_visitor) __all__ = [ 'create_column', 'drop_column', 'alter_column', 'rename_table', 'rename_index', 'ChangesetTable', 'ChangesetColumn', 'ChangesetIndex', 'ChangesetDefaultClause', 'ColumnDelta', ] def create_column(column, table=None, *p, **kw): """Create a column, given the table. API to :meth:`ChangesetColumn.create`. """ if table is not None: return table.create_column(column, *p, **kw) return column.create(*p, **kw) def drop_column(column, table=None, *p, **kw): """Drop a column, given the table. API to :meth:`ChangesetColumn.drop`. """ if table is not None: return table.drop_column(column, *p, **kw) return column.drop(*p, **kw) def rename_table(table, name, engine=None, **kw): """Rename a table. If Table instance is given, engine is not used. API to :meth:`ChangesetTable.rename`. :param table: Table to be renamed. :param name: New name for Table. :param engine: Engine instance. :type table: string or Table instance :type name: string :type engine: obj """ table = _to_table(table, engine) table.rename(name, **kw) def rename_index(index, name, table=None, engine=None, **kw): """Rename an index. If Index instance is given, table and engine are not used. API to :meth:`ChangesetIndex.rename`. :param index: Index to be renamed. :param name: New name for index. :param table: Table to which Index is reffered. :param engine: Engine instance. :type index: string or Index instance :type name: string :type table: string or Table instance :type engine: obj """ index = _to_index(index, table, engine) index.rename(name, **kw) def alter_column(*p, **k): """Alter a column. This is a helper function that creates a :class:`ColumnDelta` and runs it. :argument column: The name of the column to be altered or a :class:`ChangesetColumn` column representing it. :param table: A :class:`~sqlalchemy.schema.Table` or table name to for the table where the column will be changed. :param engine: The :class:`~sqlalchemy.engine.base.Engine` to use for table reflection and schema alterations. :returns: A :class:`ColumnDelta` instance representing the change. """ if 'table' not in k and isinstance(p[0], sqlalchemy.Column): k['table'] = p[0].table if 'engine' not in k: k['engine'] = k['table'].bind # deprecation if len(p) >= 2 and isinstance(p[1], sqlalchemy.Column): warnings.warn( "Passing a Column object to alter_column is deprecated." " Just pass in keyword parameters instead.", MigrateDeprecationWarning ) engine = k['engine'] # enough tests seem to break when metadata is always altered # that this crutch has to be left in until they can be sorted # out k['alter_metadata']=True delta = ColumnDelta(*p, **k) visitorcallable = get_engine_visitor(engine, 'schemachanger') engine._run_visitor(visitorcallable, delta) return delta def _to_table(table, engine=None): """Return if instance of Table, else construct new with metadata""" if isinstance(table, sqlalchemy.Table): return table # Given: table name, maybe an engine meta = sqlalchemy.MetaData() if engine is not None: meta.bind = engine return sqlalchemy.Table(table, meta) def _to_index(index, table=None, engine=None): """Return if instance of Index, else construct new with metadata""" if isinstance(index, sqlalchemy.Index): return index # Given: index name; table name required table = _to_table(table, engine) ret = sqlalchemy.Index(index) ret.table = table return ret class ColumnDelta(DictMixin, sqlalchemy.schema.SchemaItem): """Extracts the differences between two columns/column-parameters May receive parameters arranged in several different ways: * **current_column, new_column, \*p, \*\*kw** Additional parameters can be specified to override column differences. * **current_column, \*p, \*\*kw** Additional parameters alter current_column. Table name is extracted from current_column object. Name is changed to current_column.name from current_name, if current_name is specified. * **current_col_name, \*p, \*\*kw** Table kw must specified. :param table: Table at which current Column should be bound to.\ If table name is given, reflection will be used. :type table: string or Table instance :param metadata: A :class:`MetaData` instance to store reflected table names :param engine: When reflecting tables, either engine or metadata must \ be specified to acquire engine object. :type engine: :class:`Engine` instance :returns: :class:`ColumnDelta` instance provides interface for altered attributes to \ `result_column` through :func:`dict` alike object. * :class:`ColumnDelta`.result_column is altered column with new attributes * :class:`ColumnDelta`.current_name is current name of column in db """ # Column attributes that can be altered diff_keys = ('name', 'type', 'primary_key', 'nullable', 'server_onupdate', 'server_default', 'autoincrement') diffs = dict() __visit_name__ = 'column' def __init__(self, *p, **kw): # 'alter_metadata' is not a public api. It exists purely # as a crutch until the tests that fail when 'alter_metadata' # behaviour always happens can be sorted out self.alter_metadata = kw.pop("alter_metadata", False) self.meta = kw.pop("metadata", None) self.engine = kw.pop("engine", None) # Things are initialized differently depending on how many column # parameters are given. Figure out how many and call the appropriate # method. if len(p) >= 1 and isinstance(p[0], sqlalchemy.Column): # At least one column specified if len(p) >= 2 and isinstance(p[1], sqlalchemy.Column): # Two columns specified diffs = self.compare_2_columns(*p, **kw) else: # Exactly one column specified diffs = self.compare_1_column(*p, **kw) else: # Zero columns specified if not len(p) or not isinstance(p[0], str): raise ValueError("First argument must be column name") diffs = self.compare_parameters(*p, **kw) self.apply_diffs(diffs) def __repr__(self): return '' % ( self.alter_metadata, super(ColumnDelta, self).__repr__() ) def __getitem__(self, key): if key not in list(self.keys()): raise KeyError("No such diff key, available: %s" % self.diffs ) return getattr(self.result_column, key) def __setitem__(self, key, value): if key not in list(self.keys()): raise KeyError("No such diff key, available: %s" % self.diffs ) setattr(self.result_column, key, value) def __delitem__(self, key): raise NotImplementedError def __len__(self): raise NotImplementedError def __iter__(self): raise NotImplementedError def keys(self): return list(self.diffs.keys()) def compare_parameters(self, current_name, *p, **k): """Compares Column objects with reflection""" self.table = k.pop('table') self.result_column = self._table.c.get(current_name) if len(p): k = self._extract_parameters(p, k, self.result_column) return k def compare_1_column(self, col, *p, **k): """Compares one Column object""" self.table = k.pop('table', None) if self.table is None: self.table = col.table self.result_column = col if len(p): k = self._extract_parameters(p, k, self.result_column) return k def compare_2_columns(self, old_col, new_col, *p, **k): """Compares two Column objects""" self.process_column(new_col) self.table = k.pop('table', None) # we cannot use bool() on table in SA06 if self.table is None: self.table = old_col.table if self.table is None: new_col.table self.result_column = old_col # set differences # leave out some stuff for later comp for key in (set(self.diff_keys) - set(('type',))): val = getattr(new_col, key, None) if getattr(self.result_column, key, None) != val: k.setdefault(key, val) # inspect types if not self.are_column_types_eq(self.result_column.type, new_col.type): k.setdefault('type', new_col.type) if len(p): k = self._extract_parameters(p, k, self.result_column) return k def apply_diffs(self, diffs): """Populate dict and column object with new values""" self.diffs = diffs for key in self.diff_keys: if key in diffs: setattr(self.result_column, key, diffs[key]) self.process_column(self.result_column) # create an instance of class type if not yet if 'type' in diffs and callable(self.result_column.type): self.result_column.type = self.result_column.type() # add column to the table if self.table is not None and self.alter_metadata: self.result_column.add_to_table(self.table) def are_column_types_eq(self, old_type, new_type): """Compares two types to be equal""" ret = old_type.__class__ == new_type.__class__ # String length is a special case if ret and isinstance(new_type, sqlalchemy.types.String): ret = (getattr(old_type, 'length', None) == \ getattr(new_type, 'length', None)) return ret def _extract_parameters(self, p, k, column): """Extracts data from p and modifies diffs""" p = list(p) while len(p): if isinstance(p[0], str): k.setdefault('name', p.pop(0)) elif isinstance(p[0], sqlalchemy.types.TypeEngine): k.setdefault('type', p.pop(0)) elif callable(p[0]): p[0] = p[0]() else: break if len(p): new_col = column.copy_fixed() new_col._init_items(*p) k = self.compare_2_columns(column, new_col, **k) return k def process_column(self, column): """Processes default values for column""" # XXX: this is a snippet from SA processing of positional parameters toinit = list() if column.server_default is not None: if isinstance(column.server_default, sqlalchemy.FetchedValue): toinit.append(column.server_default) else: toinit.append(sqlalchemy.DefaultClause(column.server_default)) if column.server_onupdate is not None: if isinstance(column.server_onupdate, FetchedValue): toinit.append(column.server_default) else: toinit.append(sqlalchemy.DefaultClause(column.server_onupdate, for_update=True)) if toinit: column._init_items(*toinit) def _get_table(self): return getattr(self, '_table', None) def _set_table(self, table): if isinstance(table, str): if self.alter_metadata: if not self.meta: raise ValueError("metadata must be specified for table" " reflection when using alter_metadata") meta = self.meta if self.engine: meta.bind = self.engine else: if not self.engine and not self.meta: raise ValueError("engine or metadata must be specified" " to reflect tables") if not self.engine: self.engine = self.meta.bind meta = sqlalchemy.MetaData(bind=self.engine) self._table = sqlalchemy.Table(table, meta, autoload=True) elif isinstance(table, sqlalchemy.Table): self._table = table if not self.alter_metadata: self._table.meta = sqlalchemy.MetaData(bind=self._table.bind) def _get_result_column(self): return getattr(self, '_result_column', None) def _set_result_column(self, column): """Set Column to Table based on alter_metadata evaluation.""" self.process_column(column) if not hasattr(self, 'current_name'): self.current_name = column.name if self.alter_metadata: self._result_column = column else: self._result_column = column.copy_fixed() table = property(_get_table, _set_table) result_column = property(_get_result_column, _set_result_column) class ChangesetTable(object): """Changeset extensions to SQLAlchemy tables.""" def create_column(self, column, *p, **kw): """Creates a column. The column parameter may be a column definition or the name of a column in this table. API to :meth:`ChangesetColumn.create` :param column: Column to be created :type column: Column instance or string """ if not isinstance(column, sqlalchemy.Column): # It's a column name column = getattr(self.c, str(column)) column.create(table=self, *p, **kw) def drop_column(self, column, *p, **kw): """Drop a column, given its name or definition. API to :meth:`ChangesetColumn.drop` :param column: Column to be droped :type column: Column instance or string """ if not isinstance(column, sqlalchemy.Column): # It's a column name try: column = getattr(self.c, str(column)) except AttributeError: # That column isn't part of the table. We don't need # its entire definition to drop the column, just its # name, so create a dummy column with the same name. column = sqlalchemy.Column(str(column), sqlalchemy.Integer()) column.drop(table=self, *p, **kw) def rename(self, name, connection=None, **kwargs): """Rename this table. :param name: New name of the table. :type name: string :param connection: reuse connection istead of creating new one. :type connection: :class:`sqlalchemy.engine.base.Connection` instance """ engine = self.bind self.new_name = name visitorcallable = get_engine_visitor(engine, 'schemachanger') run_single_visitor(engine, visitorcallable, self, connection, **kwargs) # Fix metadata registration self.name = name self.deregister() self._set_parent(self.metadata) def _meta_key(self): """Get the meta key for this table.""" return sqlalchemy.schema._get_table_key(self.name, self.schema) def deregister(self): """Remove this table from its metadata""" if SQLA_07: self.metadata._remove_table(self.name, self.schema) else: key = self._meta_key() meta = self.metadata if key in meta.tables: del meta.tables[key] class ChangesetColumn(object): """Changeset extensions to SQLAlchemy columns.""" def alter(self, *p, **k): """Makes a call to :func:`alter_column` for the column this method is called on. """ if 'table' not in k: k['table'] = self.table if 'engine' not in k: k['engine'] = k['table'].bind return alter_column(self, *p, **k) def create(self, table=None, index_name=None, unique_name=None, primary_key_name=None, populate_default=True, connection=None, **kwargs): """Create this column in the database. Assumes the given table exists. ``ALTER TABLE ADD COLUMN``, for most databases. :param table: Table instance to create on. :param index_name: Creates :class:`ChangesetIndex` on this column. :param unique_name: Creates :class:\ `~migrate.changeset.constraint.UniqueConstraint` on this column. :param primary_key_name: Creates :class:\ `~migrate.changeset.constraint.PrimaryKeyConstraint` on this column. :param populate_default: If True, created column will be \ populated with defaults :param connection: reuse connection istead of creating new one. :type table: Table instance :type index_name: string :type unique_name: string :type primary_key_name: string :type populate_default: bool :type connection: :class:`sqlalchemy.engine.base.Connection` instance :returns: self """ self.populate_default = populate_default self.index_name = index_name self.unique_name = unique_name self.primary_key_name = primary_key_name for cons in ('index_name', 'unique_name', 'primary_key_name'): self._check_sanity_constraints(cons) self.add_to_table(table) engine = self.table.bind visitorcallable = get_engine_visitor(engine, 'columngenerator') engine._run_visitor(visitorcallable, self, connection, **kwargs) # TODO: reuse existing connection if self.populate_default and self.default is not None: stmt = table.update().values({self: engine._execute_default(self.default)}) engine.execute(stmt) return self def drop(self, table=None, connection=None, **kwargs): """Drop this column from the database, leaving its table intact. ``ALTER TABLE DROP COLUMN``, for most databases. :param connection: reuse connection istead of creating new one. :type connection: :class:`sqlalchemy.engine.base.Connection` instance """ if table is not None: self.table = table engine = self.table.bind visitorcallable = get_engine_visitor(engine, 'columndropper') engine._run_visitor(visitorcallable, self, connection, **kwargs) self.remove_from_table(self.table, unset_table=False) self.table = None return self def add_to_table(self, table): if table is not None and self.table is None: if SQLA_07: table.append_column(self) else: self._set_parent(table) def _col_name_in_constraint(self,cons,name): return False def remove_from_table(self, table, unset_table=True): # TODO: remove primary keys, constraints, etc if unset_table: self.table = None to_drop = set() for index in table.indexes: columns = [] for col in index.columns: if col.name!=self.name: columns.append(col) if columns: index.columns = columns if SQLA_08: index.expressions = columns else: to_drop.add(index) table.indexes = table.indexes - to_drop to_drop = set() for cons in table.constraints: # TODO: deal with other types of constraint if isinstance(cons,(ForeignKeyConstraint, UniqueConstraint)): for col_name in cons.columns: if not isinstance(col_name, str): col_name = col_name.name if self.name==col_name: to_drop.add(cons) table.constraints = table.constraints - to_drop if table.c.contains_column(self): if SQLA_07: table._columns.remove(self) else: table.c.remove(self) # TODO: this is fixed in 0.6 def copy_fixed(self, **kw): """Create a copy of this ``Column``, with all attributes.""" q = util.safe_quote(self) return sqlalchemy.Column(self.name, self.type, self.default, key=self.key, primary_key=self.primary_key, nullable=self.nullable, quote=q, index=self.index, unique=self.unique, onupdate=self.onupdate, autoincrement=self.autoincrement, server_default=self.server_default, server_onupdate=self.server_onupdate, *[c.copy(**kw) for c in self.constraints]) def _check_sanity_constraints(self, name): """Check if constraints names are correct""" obj = getattr(self, name) if (getattr(self, name[:-5]) and not obj): raise InvalidConstraintError("Column.create() accepts index_name," " primary_key_name and unique_name to generate constraints") if not isinstance(obj, str) and obj is not None: raise InvalidConstraintError( "%s argument for column must be constraint name" % name) class ChangesetIndex(object): """Changeset extensions to SQLAlchemy Indexes.""" __visit_name__ = 'index' def rename(self, name, connection=None, **kwargs): """Change the name of an index. :param name: New name of the Index. :type name: string :param connection: reuse connection istead of creating new one. :type connection: :class:`sqlalchemy.engine.base.Connection` instance """ engine = self.table.bind self.new_name = name visitorcallable = get_engine_visitor(engine, 'schemachanger') engine._run_visitor(visitorcallable, self, connection, **kwargs) self.name = name class ChangesetDefaultClause(object): """Implements comparison between :class:`DefaultClause` instances""" def __eq__(self, other): if isinstance(other, self.__class__): if self.arg == other.arg: return True def __ne__(self, other): return not self.__eq__(other)