lsp

python-client/windmill-api/windmill_api/models/forloop_flow.py

@@ -0,0 +1,97 @@
+from typing import Any, Dict, List, Type, TypeVar, Union
+
+import attr
+
+from ..models.forloop_flow_iterator_type_0 import ForloopFlowIteratorType0
+from ..models.forloop_flow_iterator_type_1 import ForloopFlowIteratorType1
+from ..models.forloop_flow_type import ForloopFlowType
+
+T = TypeVar("T", bound="ForloopFlow")
+
+
+@attr.s(auto_attribs=True)
+class ForloopFlow:
+    """
+    Attributes:
+        iterator (Union[ForloopFlowIteratorType0, ForloopFlowIteratorType1]):
+        skip_failures (bool):
+        type (ForloopFlowType):
+    """
+
+    iterator: Union[ForloopFlowIteratorType0, ForloopFlowIteratorType1]
+    skip_failures: bool
+    type: ForloopFlowType
+    additional_properties: Dict[str, Any] = attr.ib(init=False, factory=dict)
+
+    def to_dict(self) -> Dict[str, Any]:
+
+        if isinstance(self.iterator, ForloopFlowIteratorType0):
+            iterator = self.iterator.to_dict()
+
+        else:
+            iterator = self.iterator.to_dict()
+
+        skip_failures = self.skip_failures
+        type = self.type.value
+
+        field_dict: Dict[str, Any] = {}
+        field_dict.update(self.additional_properties)
+        field_dict.update(
+            {
+                "iterator": iterator,
+                "skip_failures": skip_failures,
+                "type": type,
+            }
+        )
+
+        return field_dict
+
+    @classmethod
+    def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
+        d = src_dict.copy()
+
+        def _parse_iterator(data: object) -> Union[ForloopFlowIteratorType0, ForloopFlowIteratorType1]:
+            try:
+                if not isinstance(data, dict):
+                    raise TypeError()
+                iterator_type_0 = ForloopFlowIteratorType0.from_dict(data)
+
+                return iterator_type_0
+            except:  # noqa: E722
+                pass
+            if not isinstance(data, dict):
+                raise TypeError()
+            iterator_type_1 = ForloopFlowIteratorType1.from_dict(data)
+
+            return iterator_type_1
+
+        iterator = _parse_iterator(d.pop("iterator"))
+
+        skip_failures = d.pop("skip_failures")
+
+        type = ForloopFlowType(d.pop("type"))
+
+        forloop_flow = cls(
+            iterator=iterator,
+            skip_failures=skip_failures,
+            type=type,
+        )
+
+        forloop_flow.additional_properties = d
+        return forloop_flow
+
+    @property
+    def additional_keys(self) -> List[str]:
+        return list(self.additional_properties.keys())
+
+    def __getitem__(self, key: str) -> Any:
+        return self.additional_properties[key]
+
+    def __setitem__(self, key: str, value: Any) -> None:
+        self.additional_properties[key] = value
+
+    def __delitem__(self, key: str) -> None:
+        del self.additional_properties[key]
+
+    def __contains__(self, key: str) -> bool:
+        return key in self.additional_properties