Add rna_type/bl_rna, GeometrySet, bpy.ops typing, publish task, and README updates
- Add rna_type and bl_rna as readonly properties on bpy_struct (fixes fake-bpy-module#419) - Discover non-RNA C classes in bpy.types like GeometrySet (fixes fake-bpy-module#436) - Introspect bpy.ops operator wrapper with poll(), idname(), get_rna_type(), bl_options - Handle builtin name shadowing (e.g. bpy.ops.object) with builtins. qualification - Add poe publish task for building and publishing to PyPI - Update project URLs to Gitea, improve generated README, add disclaimer - Fix f-string lint warning and type annotation for introspect_class Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
+183
-8
@@ -483,11 +483,12 @@ def clean_type_str(type_str: str) -> str:
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r"Sequence[tuple[\1, \2]]",
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type_str,
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)
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# list[X, Y, ...] with >1 type args -> treat as list[X] (drop extras)
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def _fix_multi_arg_list(m: re.Match[str]) -> str:
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inner = m.group(1)
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# If it contains nested generics like list[float], keep first one
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parts = []
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parts: list[str] = []
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depth = 0
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current: list[str] = []
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for ch in inner:
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@@ -1093,7 +1094,7 @@ def _parse_class_constructor(class_doc: str, cls: type) -> FunctionData | None:
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}
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def introspect_class(cls: type, module_name: str) -> StructData:
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def introspect_class(cls: type[object], module_name: str) -> StructData:
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"""Introspect a class (C extension or Python) and return StructData."""
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# Determine base class (skip object and internal bases)
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bases = [
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@@ -1216,11 +1217,134 @@ def infer_getter_return_types(functions: list[FunctionData]) -> None:
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func["return_type"] = setters[prefix]
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def introspect_ops_module() -> ModuleData:
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"""Introspect bpy.ops, including the operator proxy classes.
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bpy.ops submodules (e.g. bpy.ops.mesh) are real Python module objects,
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but individual operators (e.g. bpy.ops.mesh.primitive_cube_add) are
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instances of _BPyOpsSubModOp — a C class with methods like poll(),
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idname(), get_rna_type(), and bl_options.
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We introspect _BPyOpsSubModOp from a live instance and fix up return
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types that C methods don't expose via docstrings. For the submodule
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level, we create a synthetic _OpsModule class with __getattr__ since
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the actual type is just Python's builtin module.
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"""
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bpy = importlib.import_module("bpy")
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# Get a real operator instance to discover the proxy type
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ops_mod = getattr(bpy, "ops")
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sub_name = next(n for n in dir(ops_mod) if not n.startswith("_"))
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sub_mod = getattr(ops_mod, sub_name)
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op_name = next(n for n in dir(sub_mod) if not n.startswith("_"))
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op: object = getattr(sub_mod, op_name)
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# Introspect _BPyOpsSubModOp (individual operator wrapper)
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op_cls = type(op)
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assert isinstance(op_cls, type)
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op_struct = introspect_class(op_cls, "bpy.ops")
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# Fix return types that introspection can't discover from docstrings.
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# We call each method on a real operator to determine the actual types.
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_return_type_fixups: dict[str, str] = {}
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for method in op_struct["methods"]:
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name = method["name"]
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if method["return_type"] is not None:
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continue
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func = getattr(op, name, None)
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if func is None or not callable(func):
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continue
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try:
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result = func()
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_return_type_fixups[name] = type(result).__name__
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except Exception:
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pass
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for method in op_struct["methods"]:
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if method["name"] in _return_type_fixups:
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method["return_type"] = _return_type_fixups[method["name"]]
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# Fix bl_options type — it's a set of strings at runtime
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for prop in op_struct["properties"]:
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if prop["name"] == "bl_options":
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prop["type"] = "set[str]"
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# get_rna_type returns bpy.types.Struct
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for method in op_struct["methods"]:
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if method["name"] == "get_rna_type":
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method["return_type"] = "bpy.types.Struct"
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# Add __call__ — operators are callable and return a set of status strings
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op_struct["methods"].append(
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{
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"name": "__call__",
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"doc": "Execute the operator.",
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"params": [
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{
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"name": "args",
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"type": "object",
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"default": None,
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"kind": "VAR_POSITIONAL",
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},
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{
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"name": "kwargs",
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"type": "object",
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"default": None,
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"kind": "VAR_KEYWORD",
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},
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],
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"return_type": "set[str]",
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"is_classmethod": False,
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}
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)
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# _OpsSubModule: a class with __getattr__ returning operators.
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# Each ops submodule (mesh, object, etc.) is typed as this class.
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sub_struct: StructData = {
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"name": "_OpsSubModule",
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"doc": "Operator submodule (e.g. bpy.ops.mesh).",
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"base": None,
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"properties": [],
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"methods": [
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{
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"name": "__getattr__",
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"doc": "",
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"params": [
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{
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"name": "name",
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"type": "str",
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"default": None,
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"kind": "POSITIONAL_OR_KEYWORD",
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},
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],
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"return_type": op_struct["name"],
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"is_classmethod": False,
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}
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],
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}
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# List each ops submodule as a typed variable
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variables: list[VariableData] = []
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for sub_name in sorted(n for n in dir(ops_mod) if not n.startswith("_")):
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variables.append({"name": sub_name, "type": "_OpsSubModule", "value": "..."})
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return {
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"module": "bpy.ops",
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"doc": "Blender operator access.",
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"functions": [],
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"variables": variables,
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"structs": [op_struct, sub_struct],
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}
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def introspect_module(module_name: str) -> ModuleData:
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"""Introspect a module and return its full metadata as a dict."""
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if module_name == "bpy.types":
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return introspect_rna_types()
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if module_name == "bpy.ops":
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return introspect_ops_module()
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module = importlib.import_module(module_name)
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# Use __all__ as the base, but also include public callables from dir()
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@@ -1243,10 +1367,24 @@ def introspect_module(module_name: str) -> ModuleData:
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# Also add type aliases (e.g. FCurveKey = Tuple[str, int])
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# but not stdlib re-exports (Iterable, Sequence, etc.)
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elif hasattr(obj, "__origin__") and n not in {
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"Callable", "Collection", "Generator", "Iterable",
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"Iterator", "Mapping", "MutableMapping", "MutableSequence",
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"MutableSet", "Sequence", "Set", "FrozenSet",
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"Dict", "List", "Tuple", "Type", "Optional", "Union",
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"Callable",
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"Collection",
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"Generator",
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"Iterable",
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"Iterator",
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"Mapping",
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"MutableMapping",
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"MutableSequence",
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"MutableSet",
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"Sequence",
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"Set",
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"FrozenSet",
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"Dict",
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"List",
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"Tuple",
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"Type",
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"Optional",
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"Union",
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}:
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names_set.add(n)
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public_names: list[str] = sorted(names_set)
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@@ -1282,7 +1420,7 @@ def introspect_module(module_name: str) -> ModuleData:
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variables.append(
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{
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"name": name,
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"type": f"TypeAlias",
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"type": "TypeAlias",
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"value": type_repr,
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}
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)
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@@ -1810,7 +1948,26 @@ def introspect_rna_types() -> ModuleData:
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# Introspect bpy_struct (base of all RNA types)
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bpy_struct_cls = getattr(_bpy_types, "bpy_struct", None)
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if bpy_struct_cls is not None:
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structs.append(introspect_class(bpy_struct_cls, "bpy.types"))
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bpy_struct_data = introspect_class(bpy_struct_cls, "bpy.types")
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# rna_type and bl_rna are built-in RNA meta-properties not discovered
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# by introspect_class (they're injected at the C level).
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bpy_struct_data["properties"].extend(
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[
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{
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"name": "bl_rna",
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"type": "Struct",
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"is_readonly": True,
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"description": "RNA type definition",
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},
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{
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"name": "rna_type",
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"type": "Struct",
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"is_readonly": True,
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"description": "RNA type definition",
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},
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]
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)
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structs.append(bpy_struct_data)
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for cls_name in ["bpy_prop_collection", "bpy_prop_array"]:
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cls = getattr(_bpy_types, cls_name, None)
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@@ -1893,6 +2050,24 @@ def introspect_rna_types() -> ModuleData:
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struct["properties"].extend(screen_props)
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break
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# Pick up non-RNA C classes in bpy.types (e.g. GeometrySet) that
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# aren't discovered by BuildRNAInfo.
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import builtins as _builtins
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known_names = {s["name"] for s in structs}
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for name in sorted(dir(_bpy_types)):
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if name.startswith("_") or name in known_names:
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continue
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obj = getattr(_bpy_types, name, None)
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if not isinstance(obj, type):
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continue
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# Accept classes from bpy.types or C-level classes (builtins) that
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# aren't standard Python builtins (int, str, etc.)
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if obj.__module__ == "bpy.types" or (
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obj.__module__ == "builtins" and not hasattr(_builtins, name)
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):
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structs.append(introspect_class(obj, "bpy.types"))
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return {
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"module": "bpy.types",
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"doc": "Blender RNA type definitions.",
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