def check_typeddict( self, node: Expression, var_name: Optional[str], is_func_scope: bool) -> Tuple[bool, Optional[TypeInfo]]: """Check if a call defines a TypedDict. The optional var_name argument is the name of the variable to which this is assigned, if any. Return a pair (is it a typed dict, corresponding TypeInfo). If the definition is invalid but looks like a TypedDict, report errors but return (some) TypeInfo. If some type is not ready, return (True, None). """ if not isinstance(node, CallExpr): return False, None call = node callee = call.callee if not isinstance(callee, RefExpr): return False, None fullname = callee.fullname if fullname not in TPDICT_NAMES: return False, None res = self.parse_typeddict_args(call) if res is None: # This is a valid typed dict, but some type is not ready. # The caller should defer this until next iteration. return True, None name, items, types, total, ok = res if not ok: # Error. Construct dummy return value. info = self.build_typeddict_typeinfo('TypedDict', [], [], set(), call.line) else: if var_name is not None and name != var_name: self.fail( 'First argument "{}" to TypedDict() does not match variable name "{}"' .format(name, var_name), node, code=codes.NAME_MATCH) if name != var_name or is_func_scope: # Give it a unique name derived from the line number. name += '@' + str(call.line) required_keys = set(items) if total else set() info = self.build_typeddict_typeinfo(name, items, types, required_keys, call.line) info.line = node.line # Store generated TypeInfo under both names, see semanal_namedtuple for more details. if name != var_name or is_func_scope: self.api.add_symbol_skip_local(name, info) if var_name: self.api.add_symbol(var_name, info, node) call.analyzed = TypedDictExpr(info) call.analyzed.set_line(call.line, call.column) return True, info
def check_typeddict(self, node: Expression, var_name: Optional[str], is_func_scope: bool) -> Optional[TypeInfo]: """Check if a call defines a TypedDict. The optional var_name argument is the name of the variable to which this is assigned, if any. If it does, return the corresponding TypeInfo. Return None otherwise. If the definition is invalid but looks like a TypedDict, report errors but return (some) TypeInfo. """ if not isinstance(node, CallExpr): return None call = node callee = call.callee if not isinstance(callee, RefExpr): return None fullname = callee.fullname if fullname != 'mypy_extensions.TypedDict': return None items, types, total, ok = self.parse_typeddict_args(call) if not ok: # Error. Construct dummy return value. info = self.build_typeddict_typeinfo('TypedDict', [], [], set()) else: name = cast(StrExpr, call.args[0]).value if var_name is not None and name != var_name: self.fail( "First argument '{}' to TypedDict() does not match variable name '{}'".format( name, var_name), node) if name != var_name or is_func_scope: # Give it a unique name derived from the line number. name += '@' + str(call.line) required_keys = set(items) if total else set() info = self.build_typeddict_typeinfo(name, items, types, required_keys) # Store it as a global just in case it would remain anonymous. # (Or in the nearest class if there is one.) stnode = SymbolTableNode(GDEF, info) self.api.add_symbol_table_node(name, stnode) call.analyzed = TypedDictExpr(info) call.analyzed.set_line(call.line, call.column) return info
def analyze_typeddict_classdef(self, defn: ClassDef) -> bool: # special case for TypedDict possible = False for base_expr in defn.base_type_exprs: if isinstance(base_expr, RefExpr): self.api.accept(base_expr) if (base_expr.fullname == 'mypy_extensions.TypedDict' or self.is_typeddict(base_expr)): possible = True if possible: node = self.api.lookup(defn.name, defn) if node is not None: node.kind = GDEF # TODO in process_namedtuple_definition also applies here if (len(defn.base_type_exprs) == 1 and isinstance(defn.base_type_exprs[0], RefExpr) and defn.base_type_exprs[0].fullname == 'mypy_extensions.TypedDict'): # Building a new TypedDict fields, types, required_keys = self.check_typeddict_classdef(defn) info = self.build_typeddict_typeinfo(defn.name, fields, types, required_keys) defn.info.replaced = info defn.info = info node.node = info defn.analyzed = TypedDictExpr(info) defn.analyzed.line = defn.line defn.analyzed.column = defn.column return True # Extending/merging existing TypedDicts if any(not isinstance(expr, RefExpr) or expr.fullname != 'mypy_extensions.TypedDict' and not self.is_typeddict(expr) for expr in defn.base_type_exprs): self.fail("All bases of a new TypedDict must be TypedDict types", defn) typeddict_bases = list(filter(self.is_typeddict, defn.base_type_exprs)) keys = [] # type: List[str] types = [] required_keys = set() for base in typeddict_bases: assert isinstance(base, RefExpr) assert isinstance(base.node, TypeInfo) assert isinstance(base.node.typeddict_type, TypedDictType) base_typed_dict = base.node.typeddict_type base_items = base_typed_dict.items valid_items = base_items.copy() for key in base_items: if key in keys: self.fail('Cannot overwrite TypedDict field "{}" while merging' .format(key), defn) valid_items.pop(key) keys.extend(valid_items.keys()) types.extend(valid_items.values()) required_keys.update(base_typed_dict.required_keys) new_keys, new_types, new_required_keys = self.check_typeddict_classdef(defn, keys) keys.extend(new_keys) types.extend(new_types) required_keys.update(new_required_keys) info = self.build_typeddict_typeinfo(defn.name, keys, types, required_keys) defn.info.replaced = info defn.info = info node.node = info defn.analyzed = TypedDictExpr(info) defn.analyzed.line = defn.line defn.analyzed.column = defn.column return True return False
def visit_typeddict_expr(self, node: TypedDictExpr) -> Node: return TypedDictExpr(node.info)
def visit_typeddict_expr(self, node: TypedDictExpr) -> None: super().visit_typeddict_expr(node) node.info = self.fixup_and_reset_typeinfo(node.info) self.process_synthetic_type_info(node.info)
def analyze_typeddict_classdef( self, defn: ClassDef) -> Tuple[bool, Optional[TypeInfo]]: """Analyze a class that may define a TypedDict. Assume that base classes have been analyzed already. Note: Unlike normal classes, we won't create a TypeInfo until the whole definition of the TypeDict (including the body and all key names and types) is complete. This is mostly because we store the corresponding TypedDictType in the TypeInfo. Return (is this a TypedDict, new TypeInfo). Specifics: * If we couldn't finish due to incomplete reference anywhere in the definition, return (True, None). * If this is not a TypedDict, return (False, None). """ possible = False for base_expr in defn.base_type_exprs: if isinstance(base_expr, RefExpr): self.api.accept(base_expr) if base_expr.fullname in TPDICT_NAMES or self.is_typeddict( base_expr): possible = True if possible: if (len(defn.base_type_exprs) == 1 and isinstance(defn.base_type_exprs[0], RefExpr) and defn.base_type_exprs[0].fullname in TPDICT_NAMES): # Building a new TypedDict fields, types, required_keys = self.analyze_typeddict_classdef_fields( defn) if fields is None: return True, None # Defer info = self.build_typeddict_typeinfo(defn.name, fields, types, required_keys) defn.analyzed = TypedDictExpr(info) defn.analyzed.line = defn.line defn.analyzed.column = defn.column return True, info # Extending/merging existing TypedDicts if any(not isinstance(expr, RefExpr) or expr.fullname not in TPDICT_NAMES and not self.is_typeddict(expr) for expr in defn.base_type_exprs): self.fail( "All bases of a new TypedDict must be TypedDict types", defn) typeddict_bases = list( filter(self.is_typeddict, defn.base_type_exprs)) keys = [] # type: List[str] types = [] required_keys = set() for base in typeddict_bases: assert isinstance(base, RefExpr) assert isinstance(base.node, TypeInfo) assert isinstance(base.node.typeddict_type, TypedDictType) base_typed_dict = base.node.typeddict_type base_items = base_typed_dict.items valid_items = base_items.copy() for key in base_items: if key in keys: self.fail( 'Cannot overwrite TypedDict field "{}" while merging' .format(key), defn) valid_items.pop(key) keys.extend(valid_items.keys()) types.extend(valid_items.values()) required_keys.update(base_typed_dict.required_keys) new_keys, new_types, new_required_keys = self.analyze_typeddict_classdef_fields( defn, keys) if new_keys is None: return True, None # Defer keys.extend(new_keys) types.extend(new_types) required_keys.update(new_required_keys) info = self.build_typeddict_typeinfo(defn.name, keys, types, required_keys) defn.analyzed = TypedDictExpr(info) defn.analyzed.line = defn.line defn.analyzed.column = defn.column return True, info return False, None
def visit_typeddict_expr(self, node: TypedDictExpr) -> None: node.info = self.fixup(node.info) super().visit_typeddict_expr(node)