| |
| |
|
|
| from __future__ import annotations |
|
|
| import logging |
| import re |
| from typing import Any |
| from typing import Callable |
| from typing import Dict |
| from typing import Iterable |
| from typing import List |
| from typing import Mapping |
| from typing import NamedTuple |
| from typing import Optional |
| from typing import Sequence |
| from typing import Set |
| from typing import Tuple |
| from typing import Type |
| from typing import TYPE_CHECKING |
| from typing import Union |
|
|
| from sqlalchemy import cast |
| from sqlalchemy import schema |
| from sqlalchemy import text |
|
|
| from . import _autogen |
| from . import base |
| from ._autogen import _constraint_sig as _constraint_sig |
| from ._autogen import ComparisonResult as ComparisonResult |
| from .. import util |
| from ..util import sqla_compat |
|
|
| if TYPE_CHECKING: |
| from typing import Literal |
| from typing import TextIO |
|
|
| from sqlalchemy.engine import Connection |
| from sqlalchemy.engine import Dialect |
| from sqlalchemy.engine.cursor import CursorResult |
| from sqlalchemy.engine.reflection import Inspector |
| from sqlalchemy.sql import ClauseElement |
| from sqlalchemy.sql import Executable |
| from sqlalchemy.sql.elements import ColumnElement |
| from sqlalchemy.sql.elements import quoted_name |
| from sqlalchemy.sql.schema import Column |
| from sqlalchemy.sql.schema import Constraint |
| from sqlalchemy.sql.schema import ForeignKeyConstraint |
| from sqlalchemy.sql.schema import Index |
| from sqlalchemy.sql.schema import Table |
| from sqlalchemy.sql.schema import UniqueConstraint |
| from sqlalchemy.sql.selectable import TableClause |
| from sqlalchemy.sql.type_api import TypeEngine |
|
|
| from .base import _ServerDefault |
| from ..autogenerate.api import AutogenContext |
| from ..operations.batch import ApplyBatchImpl |
| from ..operations.batch import BatchOperationsImpl |
|
|
| log = logging.getLogger(__name__) |
|
|
|
|
| class ImplMeta(type): |
| def __init__( |
| cls, |
| classname: str, |
| bases: Tuple[Type[DefaultImpl]], |
| dict_: Dict[str, Any], |
| ): |
| newtype = type.__init__(cls, classname, bases, dict_) |
| if "__dialect__" in dict_: |
| _impls[dict_["__dialect__"]] = cls |
| return newtype |
|
|
|
|
| _impls: Dict[str, Type[DefaultImpl]] = {} |
|
|
|
|
| class DefaultImpl(metaclass=ImplMeta): |
|
|
| """Provide the entrypoint for major migration operations, |
| including database-specific behavioral variances. |
| |
| While individual SQL/DDL constructs already provide |
| for database-specific implementations, variances here |
| allow for entirely different sequences of operations |
| to take place for a particular migration, such as |
| SQL Server's special 'IDENTITY INSERT' step for |
| bulk inserts. |
| |
| """ |
|
|
| __dialect__ = "default" |
|
|
| transactional_ddl = False |
| command_terminator = ";" |
| type_synonyms: Tuple[Set[str], ...] = ({"NUMERIC", "DECIMAL"},) |
| type_arg_extract: Sequence[str] = () |
| |
| |
| |
| |
| identity_attrs_ignore: Tuple[str, ...] = ("order", "on_null") |
|
|
| def __init__( |
| self, |
| dialect: Dialect, |
| connection: Optional[Connection], |
| as_sql: bool, |
| transactional_ddl: Optional[bool], |
| output_buffer: Optional[TextIO], |
| context_opts: Dict[str, Any], |
| ) -> None: |
| self.dialect = dialect |
| self.connection = connection |
| self.as_sql = as_sql |
| self.literal_binds = context_opts.get("literal_binds", False) |
|
|
| self.output_buffer = output_buffer |
| self.memo: dict = {} |
| self.context_opts = context_opts |
| if transactional_ddl is not None: |
| self.transactional_ddl = transactional_ddl |
|
|
| if self.literal_binds: |
| if not self.as_sql: |
| raise util.CommandError( |
| "Can't use literal_binds setting without as_sql mode" |
| ) |
|
|
| @classmethod |
| def get_by_dialect(cls, dialect: Dialect) -> Type[DefaultImpl]: |
| return _impls[dialect.name] |
|
|
| def static_output(self, text: str) -> None: |
| assert self.output_buffer is not None |
| self.output_buffer.write(text + "\n\n") |
| self.output_buffer.flush() |
|
|
| def requires_recreate_in_batch( |
| self, batch_op: BatchOperationsImpl |
| ) -> bool: |
| """Return True if the given :class:`.BatchOperationsImpl` |
| would need the table to be recreated and copied in order to |
| proceed. |
| |
| Normally, only returns True on SQLite when operations other |
| than add_column are present. |
| |
| """ |
| return False |
|
|
| def prep_table_for_batch( |
| self, batch_impl: ApplyBatchImpl, table: Table |
| ) -> None: |
| """perform any operations needed on a table before a new |
| one is created to replace it in batch mode. |
| |
| the PG dialect uses this to drop constraints on the table |
| before the new one uses those same names. |
| |
| """ |
|
|
| @property |
| def bind(self) -> Optional[Connection]: |
| return self.connection |
|
|
| def _exec( |
| self, |
| construct: Union[Executable, str], |
| execution_options: Optional[dict[str, Any]] = None, |
| multiparams: Sequence[dict] = (), |
| params: Dict[str, Any] = util.immutabledict(), |
| ) -> Optional[CursorResult]: |
| if isinstance(construct, str): |
| construct = text(construct) |
| if self.as_sql: |
| if multiparams or params: |
| |
| raise Exception("Execution arguments not allowed with as_sql") |
|
|
| compile_kw: dict[str, Any] |
| if self.literal_binds and not isinstance( |
| construct, schema.DDLElement |
| ): |
| compile_kw = dict(compile_kwargs={"literal_binds": True}) |
| else: |
| compile_kw = {} |
|
|
| if TYPE_CHECKING: |
| assert isinstance(construct, ClauseElement) |
| compiled = construct.compile(dialect=self.dialect, **compile_kw) |
| self.static_output( |
| str(compiled).replace("\t", " ").strip() |
| + self.command_terminator |
| ) |
| return None |
| else: |
| conn = self.connection |
| assert conn is not None |
| if execution_options: |
| conn = conn.execution_options(**execution_options) |
| if params: |
| assert isinstance(multiparams, tuple) |
| multiparams += (params,) |
|
|
| return conn.execute(construct, multiparams) |
|
|
| def execute( |
| self, |
| sql: Union[Executable, str], |
| execution_options: Optional[dict[str, Any]] = None, |
| ) -> None: |
| self._exec(sql, execution_options) |
|
|
| def alter_column( |
| self, |
| table_name: str, |
| column_name: str, |
| nullable: Optional[bool] = None, |
| server_default: Union[_ServerDefault, Literal[False]] = False, |
| name: Optional[str] = None, |
| type_: Optional[TypeEngine] = None, |
| schema: Optional[str] = None, |
| autoincrement: Optional[bool] = None, |
| comment: Optional[Union[str, Literal[False]]] = False, |
| existing_comment: Optional[str] = None, |
| existing_type: Optional[TypeEngine] = None, |
| existing_server_default: Optional[_ServerDefault] = None, |
| existing_nullable: Optional[bool] = None, |
| existing_autoincrement: Optional[bool] = None, |
| **kw: Any, |
| ) -> None: |
| if autoincrement is not None or existing_autoincrement is not None: |
| util.warn( |
| "autoincrement and existing_autoincrement " |
| "only make sense for MySQL", |
| stacklevel=3, |
| ) |
| if nullable is not None: |
| self._exec( |
| base.ColumnNullable( |
| table_name, |
| column_name, |
| nullable, |
| schema=schema, |
| existing_type=existing_type, |
| existing_server_default=existing_server_default, |
| existing_nullable=existing_nullable, |
| existing_comment=existing_comment, |
| ) |
| ) |
| if server_default is not False: |
| kw = {} |
| cls_: Type[ |
| Union[ |
| base.ComputedColumnDefault, |
| base.IdentityColumnDefault, |
| base.ColumnDefault, |
| ] |
| ] |
| if sqla_compat._server_default_is_computed( |
| server_default, existing_server_default |
| ): |
| cls_ = base.ComputedColumnDefault |
| elif sqla_compat._server_default_is_identity( |
| server_default, existing_server_default |
| ): |
| cls_ = base.IdentityColumnDefault |
| kw["impl"] = self |
| else: |
| cls_ = base.ColumnDefault |
| self._exec( |
| cls_( |
| table_name, |
| column_name, |
| server_default, |
| schema=schema, |
| existing_type=existing_type, |
| existing_server_default=existing_server_default, |
| existing_nullable=existing_nullable, |
| existing_comment=existing_comment, |
| **kw, |
| ) |
| ) |
| if type_ is not None: |
| self._exec( |
| base.ColumnType( |
| table_name, |
| column_name, |
| type_, |
| schema=schema, |
| existing_type=existing_type, |
| existing_server_default=existing_server_default, |
| existing_nullable=existing_nullable, |
| existing_comment=existing_comment, |
| ) |
| ) |
|
|
| if comment is not False: |
| self._exec( |
| base.ColumnComment( |
| table_name, |
| column_name, |
| comment, |
| schema=schema, |
| existing_type=existing_type, |
| existing_server_default=existing_server_default, |
| existing_nullable=existing_nullable, |
| existing_comment=existing_comment, |
| ) |
| ) |
|
|
| |
| if name is not None: |
| self._exec( |
| base.ColumnName( |
| table_name, |
| column_name, |
| name, |
| schema=schema, |
| existing_type=existing_type, |
| existing_server_default=existing_server_default, |
| existing_nullable=existing_nullable, |
| ) |
| ) |
|
|
| def add_column( |
| self, |
| table_name: str, |
| column: Column[Any], |
| schema: Optional[Union[str, quoted_name]] = None, |
| ) -> None: |
| self._exec(base.AddColumn(table_name, column, schema=schema)) |
|
|
| def drop_column( |
| self, |
| table_name: str, |
| column: Column[Any], |
| schema: Optional[str] = None, |
| **kw, |
| ) -> None: |
| self._exec(base.DropColumn(table_name, column, schema=schema)) |
|
|
| def add_constraint(self, const: Any) -> None: |
| if const._create_rule is None or const._create_rule(self): |
| self._exec(schema.AddConstraint(const)) |
|
|
| def drop_constraint(self, const: Constraint) -> None: |
| self._exec(schema.DropConstraint(const)) |
|
|
| def rename_table( |
| self, |
| old_table_name: str, |
| new_table_name: Union[str, quoted_name], |
| schema: Optional[Union[str, quoted_name]] = None, |
| ) -> None: |
| self._exec( |
| base.RenameTable(old_table_name, new_table_name, schema=schema) |
| ) |
|
|
| def create_table(self, table: Table) -> None: |
| table.dispatch.before_create( |
| table, self.connection, checkfirst=False, _ddl_runner=self |
| ) |
| self._exec(schema.CreateTable(table)) |
| table.dispatch.after_create( |
| table, self.connection, checkfirst=False, _ddl_runner=self |
| ) |
| for index in table.indexes: |
| self._exec(schema.CreateIndex(index)) |
|
|
| with_comment = ( |
| self.dialect.supports_comments and not self.dialect.inline_comments |
| ) |
| comment = table.comment |
| if comment and with_comment: |
| self.create_table_comment(table) |
|
|
| for column in table.columns: |
| comment = column.comment |
| if comment and with_comment: |
| self.create_column_comment(column) |
|
|
| def drop_table(self, table: Table) -> None: |
| table.dispatch.before_drop( |
| table, self.connection, checkfirst=False, _ddl_runner=self |
| ) |
| self._exec(schema.DropTable(table)) |
| table.dispatch.after_drop( |
| table, self.connection, checkfirst=False, _ddl_runner=self |
| ) |
|
|
| def create_index(self, index: Index, **kw: Any) -> None: |
| self._exec(schema.CreateIndex(index, **kw)) |
|
|
| def create_table_comment(self, table: Table) -> None: |
| self._exec(schema.SetTableComment(table)) |
|
|
| def drop_table_comment(self, table: Table) -> None: |
| self._exec(schema.DropTableComment(table)) |
|
|
| def create_column_comment(self, column: ColumnElement[Any]) -> None: |
| self._exec(schema.SetColumnComment(column)) |
|
|
| def drop_index(self, index: Index, **kw: Any) -> None: |
| self._exec(schema.DropIndex(index, **kw)) |
|
|
| def bulk_insert( |
| self, |
| table: Union[TableClause, Table], |
| rows: List[dict], |
| multiinsert: bool = True, |
| ) -> None: |
| if not isinstance(rows, list): |
| raise TypeError("List expected") |
| elif rows and not isinstance(rows[0], dict): |
| raise TypeError("List of dictionaries expected") |
| if self.as_sql: |
| for row in rows: |
| self._exec( |
| sqla_compat._insert_inline(table).values( |
| **{ |
| k: sqla_compat._literal_bindparam( |
| k, v, type_=table.c[k].type |
| ) |
| if not isinstance( |
| v, sqla_compat._literal_bindparam |
| ) |
| else v |
| for k, v in row.items() |
| } |
| ) |
| ) |
| else: |
| if rows: |
| if multiinsert: |
| self._exec( |
| sqla_compat._insert_inline(table), multiparams=rows |
| ) |
| else: |
| for row in rows: |
| self._exec( |
| sqla_compat._insert_inline(table).values(**row) |
| ) |
|
|
| def _tokenize_column_type(self, column: Column) -> Params: |
| definition: str |
| definition = self.dialect.type_compiler.process(column.type).lower() |
|
|
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|
|
| tokens: List[str] = re.findall(r"[\w\-_]+|\(.+?\)", definition) |
|
|
| term_tokens: List[str] = [] |
| paren_term = None |
|
|
| for token in tokens: |
| if re.match(r"^\(.*\)$", token): |
| paren_term = token |
| else: |
| term_tokens.append(token) |
|
|
| params = Params(term_tokens[0], term_tokens[1:], [], {}) |
|
|
| if paren_term: |
| term: str |
| for term in re.findall("[^(),]+", paren_term): |
| if "=" in term: |
| key, val = term.split("=") |
| params.kwargs[key.strip()] = val.strip() |
| else: |
| params.args.append(term.strip()) |
|
|
| return params |
|
|
| def _column_types_match( |
| self, inspector_params: Params, metadata_params: Params |
| ) -> bool: |
| if inspector_params.token0 == metadata_params.token0: |
| return True |
|
|
| synonyms = [{t.lower() for t in batch} for batch in self.type_synonyms] |
| inspector_all_terms = " ".join( |
| [inspector_params.token0] + inspector_params.tokens |
| ) |
| metadata_all_terms = " ".join( |
| [metadata_params.token0] + metadata_params.tokens |
| ) |
|
|
| for batch in synonyms: |
| if {inspector_all_terms, metadata_all_terms}.issubset(batch) or { |
| inspector_params.token0, |
| metadata_params.token0, |
| }.issubset(batch): |
| return True |
| return False |
|
|
| def _column_args_match( |
| self, inspected_params: Params, meta_params: Params |
| ) -> bool: |
| """We want to compare column parameters. However, we only want |
| to compare parameters that are set. If they both have `collation`, |
| we want to make sure they are the same. However, if only one |
| specifies it, dont flag it for being less specific |
| """ |
|
|
| if ( |
| len(meta_params.tokens) == len(inspected_params.tokens) |
| and meta_params.tokens != inspected_params.tokens |
| ): |
| return False |
|
|
| if ( |
| len(meta_params.args) == len(inspected_params.args) |
| and meta_params.args != inspected_params.args |
| ): |
| return False |
|
|
| insp = " ".join(inspected_params.tokens).lower() |
| meta = " ".join(meta_params.tokens).lower() |
|
|
| for reg in self.type_arg_extract: |
| mi = re.search(reg, insp) |
| mm = re.search(reg, meta) |
|
|
| if mi and mm and mi.group(1) != mm.group(1): |
| return False |
|
|
| return True |
|
|
| def compare_type( |
| self, inspector_column: Column[Any], metadata_column: Column |
| ) -> bool: |
| """Returns True if there ARE differences between the types of the two |
| columns. Takes impl.type_synonyms into account between retrospected |
| and metadata types |
| """ |
| inspector_params = self._tokenize_column_type(inspector_column) |
| metadata_params = self._tokenize_column_type(metadata_column) |
|
|
| if not self._column_types_match(inspector_params, metadata_params): |
| return True |
| if not self._column_args_match(inspector_params, metadata_params): |
| return True |
| return False |
|
|
| def compare_server_default( |
| self, |
| inspector_column, |
| metadata_column, |
| rendered_metadata_default, |
| rendered_inspector_default, |
| ): |
| return rendered_inspector_default != rendered_metadata_default |
|
|
| def correct_for_autogen_constraints( |
| self, |
| conn_uniques: Set[UniqueConstraint], |
| conn_indexes: Set[Index], |
| metadata_unique_constraints: Set[UniqueConstraint], |
| metadata_indexes: Set[Index], |
| ) -> None: |
| pass |
|
|
| def cast_for_batch_migrate(self, existing, existing_transfer, new_type): |
| if existing.type._type_affinity is not new_type._type_affinity: |
| existing_transfer["expr"] = cast( |
| existing_transfer["expr"], new_type |
| ) |
|
|
| def render_ddl_sql_expr( |
| self, expr: ClauseElement, is_server_default: bool = False, **kw: Any |
| ) -> str: |
| """Render a SQL expression that is typically a server default, |
| index expression, etc. |
| |
| """ |
|
|
| compile_kw = {"literal_binds": True, "include_table": False} |
|
|
| return str( |
| expr.compile(dialect=self.dialect, compile_kwargs=compile_kw) |
| ) |
|
|
| def _compat_autogen_column_reflect(self, inspector: Inspector) -> Callable: |
| return self.autogen_column_reflect |
|
|
| def correct_for_autogen_foreignkeys( |
| self, |
| conn_fks: Set[ForeignKeyConstraint], |
| metadata_fks: Set[ForeignKeyConstraint], |
| ) -> None: |
| pass |
|
|
| def autogen_column_reflect(self, inspector, table, column_info): |
| """A hook that is attached to the 'column_reflect' event for when |
| a Table is reflected from the database during the autogenerate |
| process. |
| |
| Dialects can elect to modify the information gathered here. |
| |
| """ |
|
|
| def start_migrations(self) -> None: |
| """A hook called when :meth:`.EnvironmentContext.run_migrations` |
| is called. |
| |
| Implementations can set up per-migration-run state here. |
| |
| """ |
|
|
| def emit_begin(self) -> None: |
| """Emit the string ``BEGIN``, or the backend-specific |
| equivalent, on the current connection context. |
| |
| This is used in offline mode and typically |
| via :meth:`.EnvironmentContext.begin_transaction`. |
| |
| """ |
| self.static_output("BEGIN" + self.command_terminator) |
|
|
| def emit_commit(self) -> None: |
| """Emit the string ``COMMIT``, or the backend-specific |
| equivalent, on the current connection context. |
| |
| This is used in offline mode and typically |
| via :meth:`.EnvironmentContext.begin_transaction`. |
| |
| """ |
| self.static_output("COMMIT" + self.command_terminator) |
|
|
| def render_type( |
| self, type_obj: TypeEngine, autogen_context: AutogenContext |
| ) -> Union[str, Literal[False]]: |
| return False |
|
|
| def _compare_identity_default(self, metadata_identity, inspector_identity): |
| |
| |
| diff, ignored = _compare_identity_options( |
| metadata_identity, |
| inspector_identity, |
| sqla_compat.Identity(), |
| skip={"always"}, |
| ) |
|
|
| meta_always = getattr(metadata_identity, "always", None) |
| inspector_always = getattr(inspector_identity, "always", None) |
| |
| if bool(meta_always) != bool(inspector_always): |
| diff.add("always") |
|
|
| diff.difference_update(self.identity_attrs_ignore) |
|
|
| |
| return ( |
| |
| diff, |
| |
| ignored, |
| |
| bool(diff) or bool(metadata_identity) != bool(inspector_identity), |
| ) |
|
|
| def _compare_index_unique( |
| self, metadata_index: Index, reflected_index: Index |
| ) -> Optional[str]: |
| conn_unique = bool(reflected_index.unique) |
| meta_unique = bool(metadata_index.unique) |
| if conn_unique != meta_unique: |
| return f"unique={conn_unique} to unique={meta_unique}" |
| else: |
| return None |
|
|
| def _create_metadata_constraint_sig( |
| self, constraint: _autogen._C, **opts: Any |
| ) -> _constraint_sig[_autogen._C]: |
| return _constraint_sig.from_constraint(True, self, constraint, **opts) |
|
|
| def _create_reflected_constraint_sig( |
| self, constraint: _autogen._C, **opts: Any |
| ) -> _constraint_sig[_autogen._C]: |
| return _constraint_sig.from_constraint(False, self, constraint, **opts) |
|
|
| def compare_indexes( |
| self, |
| metadata_index: Index, |
| reflected_index: Index, |
| ) -> ComparisonResult: |
| """Compare two indexes by comparing the signature generated by |
| ``create_index_sig``. |
| |
| This method returns a ``ComparisonResult``. |
| """ |
| msg: List[str] = [] |
| unique_msg = self._compare_index_unique( |
| metadata_index, reflected_index |
| ) |
| if unique_msg: |
| msg.append(unique_msg) |
| m_sig = self._create_metadata_constraint_sig(metadata_index) |
| r_sig = self._create_reflected_constraint_sig(reflected_index) |
|
|
| assert _autogen.is_index_sig(m_sig) |
| assert _autogen.is_index_sig(r_sig) |
|
|
| |
| for sig in m_sig, r_sig: |
| if sig.has_expressions: |
| log.warning( |
| "Generating approximate signature for index %s. " |
| "The dialect " |
| "implementation should either skip expression indexes " |
| "or provide a custom implementation.", |
| sig.const, |
| ) |
|
|
| if m_sig.column_names != r_sig.column_names: |
| msg.append( |
| f"expression {r_sig.column_names} to {m_sig.column_names}" |
| ) |
|
|
| if msg: |
| return ComparisonResult.Different(msg) |
| else: |
| return ComparisonResult.Equal() |
|
|
| def compare_unique_constraint( |
| self, |
| metadata_constraint: UniqueConstraint, |
| reflected_constraint: UniqueConstraint, |
| ) -> ComparisonResult: |
| """Compare two unique constraints by comparing the two signatures. |
| |
| The arguments are two tuples that contain the unique constraint and |
| the signatures generated by ``create_unique_constraint_sig``. |
| |
| This method returns a ``ComparisonResult``. |
| """ |
| metadata_tup = self._create_metadata_constraint_sig( |
| metadata_constraint |
| ) |
| reflected_tup = self._create_reflected_constraint_sig( |
| reflected_constraint |
| ) |
|
|
| meta_sig = metadata_tup.unnamed |
| conn_sig = reflected_tup.unnamed |
| if conn_sig != meta_sig: |
| return ComparisonResult.Different( |
| f"expression {conn_sig} to {meta_sig}" |
| ) |
| else: |
| return ComparisonResult.Equal() |
|
|
| def _skip_functional_indexes(self, metadata_indexes, conn_indexes): |
| conn_indexes_by_name = {c.name: c for c in conn_indexes} |
|
|
| for idx in list(metadata_indexes): |
| if idx.name in conn_indexes_by_name: |
| continue |
| iex = sqla_compat.is_expression_index(idx) |
| if iex: |
| util.warn( |
| "autogenerate skipping metadata-specified " |
| "expression-based index " |
| f"{idx.name!r}; dialect {self.__dialect__!r} under " |
| f"SQLAlchemy {sqla_compat.sqlalchemy_version} can't " |
| "reflect these indexes so they can't be compared" |
| ) |
| metadata_indexes.discard(idx) |
|
|
| def adjust_reflected_dialect_options( |
| self, reflected_object: Dict[str, Any], kind: str |
| ) -> Dict[str, Any]: |
| return reflected_object.get("dialect_options", {}) |
|
|
|
|
| class Params(NamedTuple): |
| token0: str |
| tokens: List[str] |
| args: List[str] |
| kwargs: Dict[str, str] |
|
|
|
|
| def _compare_identity_options( |
| metadata_io: Union[schema.Identity, schema.Sequence, None], |
| inspector_io: Union[schema.Identity, schema.Sequence, None], |
| default_io: Union[schema.Identity, schema.Sequence], |
| skip: Set[str], |
| ): |
| |
| |
| |
| meta_d = sqla_compat._get_identity_options_dict(metadata_io) |
| insp_d = sqla_compat._get_identity_options_dict(inspector_io) |
|
|
| diff = set() |
| ignored_attr = set() |
|
|
| def check_dicts( |
| meta_dict: Mapping[str, Any], |
| insp_dict: Mapping[str, Any], |
| default_dict: Mapping[str, Any], |
| attrs: Iterable[str], |
| ): |
| for attr in set(attrs).difference(skip): |
| meta_value = meta_dict.get(attr) |
| insp_value = insp_dict.get(attr) |
| if insp_value != meta_value: |
| default_value = default_dict.get(attr) |
| if meta_value == default_value: |
| ignored_attr.add(attr) |
| else: |
| diff.add(attr) |
|
|
| check_dicts( |
| meta_d, |
| insp_d, |
| sqla_compat._get_identity_options_dict(default_io), |
| set(meta_d).union(insp_d), |
| ) |
| if sqla_compat.identity_has_dialect_kwargs: |
| |
| |
| check_dicts( |
| getattr(metadata_io, "dialect_kwargs", {}), |
| getattr(inspector_io, "dialect_kwargs", {}), |
| default_io.dialect_kwargs, |
| getattr(inspector_io, "dialect_kwargs", {}), |
| ) |
|
|
| return diff, ignored_attr |
|
|