regenerate models

This commit is contained in:
sneakers-the-rat 2024-08-12 22:57:32 -07:00
parent 06a18c23a8
commit 6c07b87ba0
Signed by untrusted user who does not match committer: jonny
GPG key ID: 6DCB96EF1E4D232D
191 changed files with 2318 additions and 22 deletions

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -27,6 +27,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -44,6 +44,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -37,6 +37,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -41,6 +41,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -45,6 +45,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -37,6 +37,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -155,6 +155,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -27,6 +27,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -44,6 +44,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -37,6 +37,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -41,6 +41,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -45,6 +45,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -37,6 +37,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -155,6 +155,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -27,6 +27,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -44,6 +44,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -37,6 +37,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -41,6 +41,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -45,6 +45,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -158,6 +158,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -27,6 +27,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -44,6 +44,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -37,6 +37,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -42,6 +42,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -50,6 +50,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -165,6 +165,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -27,6 +27,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -44,6 +44,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -37,6 +37,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -42,6 +42,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -50,6 +50,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -165,6 +165,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -29,6 +29,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -27,6 +27,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -44,6 +44,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -37,6 +37,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -42,6 +42,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -29,6 +29,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -50,6 +50,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -168,6 +168,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -4,9 +4,9 @@ from decimal import Decimal
from enum import Enum from enum import Enum
import re import re
import sys import sys
from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
import numpy as np import numpy as np
from typing import Any, ClassVar, List, Literal, Dict, Optional, Union, overload, Iterable, Tuple
from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator, model_validator
from ...hdmf_common.v1_5_0.hdmf_common_base import Data, Container from ...hdmf_common.v1_5_0.hdmf_common_base import Data, Container
from numpydantic import NDArray, Shape from numpydantic import NDArray, Shape
from ...hdmf_common.v1_5_0.hdmf_common_table import VectorData, DynamicTable from ...hdmf_common.v1_5_0.hdmf_common_table import VectorData, DynamicTable
@ -29,6 +29,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}
@ -48,6 +57,136 @@ class LinkMLMeta(RootModel):
NUMPYDANTIC_VERSION = "1.2.1" NUMPYDANTIC_VERSION = "1.2.1"
class VectorDataMixin(BaseModel):
"""
Mixin class to give VectorData indexing abilities
"""
_index: Optional["VectorIndex"] = None
# redefined in `VectorData`, but included here for testing and type checking
value: Optional[NDArray] = None
def __init__(self, value: Optional[NDArray] = None, **kwargs):
if value is not None and "value" not in kwargs:
kwargs["value"] = value
super().__init__(**kwargs)
def __getitem__(self, item: Union[str, int, slice, Tuple[Union[str, int, slice], ...]]) -> Any:
if self._index:
# Following hdmf, VectorIndex is the thing that knows how to do the slicing
return self._index[item]
else:
return self.value[item]
def __setitem__(self, key: Union[int, str, slice], value: Any) -> None:
if self._index:
# Following hdmf, VectorIndex is the thing that knows how to do the slicing
self._index[key] = value
else:
self.value[key] = value
def __getattr__(self, item: str) -> Any:
"""
Forward getattr to ``value``
"""
try:
return BaseModel.__getattr__(self, item)
except AttributeError as e:
try:
return getattr(self.value, item)
except AttributeError:
raise e from None
def __len__(self) -> int:
"""
Use index as length, if present
"""
if self._index:
return len(self._index)
else:
return len(self.value)
class TimeSeriesReferenceVectorDataMixin(VectorDataMixin):
"""
Mixin class for TimeSeriesReferenceVectorData -
very simple, just indexing the given timeseries object.
These shouldn't have additional fields in them, just the three columns
for index, span, and timeseries
"""
idx_start: NDArray[Any, int]
count: NDArray[Any, int]
timeseries: NDArray[Any, BaseModel]
@model_validator(mode="after")
def ensure_equal_length(self) -> "TimeSeriesReferenceVectorDataMixin":
assert len(self.idx_start) == len(self.timeseries) == len(self.count), (
f"Columns have differing lengths: idx: {len(self.idx_start)}, count: {len(self.count)},"
f" timeseries: {len(self.timeseries)}"
)
return self
def __len__(self) -> int:
"""Since we have ensured equal length, just return idx_start"""
return len(self.idx_start)
@overload
def _slice_helper(self, item: int) -> slice: ...
@overload
def _slice_helper(self, item: slice) -> List[slice]: ...
def _slice_helper(self, item: Union[int, slice]) -> Union[slice, List[slice]]:
if isinstance(item, (int, np.integer)):
return slice(self.idx_start[item], self.idx_start[item] + self.count[item])
else:
starts = self.idx_start[item]
ends = starts + self.count[item]
return [slice(start, end) for start, end in zip(starts, ends)]
def __getitem__(self, item: Union[int, slice, Iterable]) -> Any:
if self._index is not None:
raise NotImplementedError(
"VectorIndexing with TimeSeriesReferenceVectorData is not supported because it is"
" never done in the core schema."
)
if isinstance(item, (int, np.integer)):
return self.timeseries[self._slice_helper(item)]
elif isinstance(item, slice):
return [self.timeseries[subitem] for subitem in self._slice_helper(item)]
elif isinstance(item, Iterable):
return [self.timeseries[self._slice_helper(subitem)] for subitem in item]
else:
raise ValueError(
f"Dont know how to index with {item}, must be an int, slice, or iterable"
)
def __setitem__(self, key: Union[int, slice, Iterable], value: Any) -> None:
if self._index is not None:
raise NotImplementedError(
"VectorIndexing with TimeSeriesReferenceVectorData is not supported because it is"
" never done in the core schema."
)
if isinstance(key, (int, np.integer)):
self.timeseries[self._slice_helper(key)] = value
elif isinstance(key, slice):
for subitem in self._slice_helper(key):
self.timeseries[subitem] = value
elif isinstance(key, Iterable):
for subitem in key:
self.timeseries[self._slice_helper(subitem)] = value
else:
raise ValueError(
f"Dont know how to index with {key}, must be an int, slice, or iterable"
)
linkml_meta = LinkMLMeta( linkml_meta = LinkMLMeta(
{ {
"annotations": { "annotations": {
@ -78,7 +217,7 @@ class NWBData(Data):
name: str = Field(...) name: str = Field(...)
class TimeSeriesReferenceVectorData(VectorData): class TimeSeriesReferenceVectorData(TimeSeriesReferenceVectorDataMixin, VectorData):
""" """
Column storing references to a TimeSeries (rows). For each TimeSeries this VectorData column stores the start_index and count to indicate the range in time to be selected as well as an object reference to the TimeSeries. Column storing references to a TimeSeries (rows). For each TimeSeries this VectorData column stores the start_index and count to indicate the range in time to be selected as well as an object reference to the TimeSeries.
""" """

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -27,6 +27,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -44,6 +44,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -37,6 +37,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -50,6 +50,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -50,6 +50,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -29,6 +29,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -50,6 +50,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -28,6 +28,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -181,6 +181,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -8,13 +8,28 @@ import numpy as np
from ...hdmf_common.v1_5_0.hdmf_common_base import Data, Container from ...hdmf_common.v1_5_0.hdmf_common_base import Data, Container
from numpydantic import NDArray, Shape from numpydantic import NDArray, Shape
from ...hdmf_common.v1_5_0.hdmf_common_table import VectorData, DynamicTable from ...hdmf_common.v1_5_0.hdmf_common_table import VectorData, DynamicTable
from typing import Any, ClassVar, List, Literal, Dict, Optional, Union, Annotated, Type, TypeVar from typing import (
Any,
ClassVar,
List,
Literal,
Dict,
Optional,
Union,
overload,
Iterable,
Tuple,
Annotated,
Type,
TypeVar,
)
from pydantic import ( from pydantic import (
BaseModel, BaseModel,
ConfigDict, ConfigDict,
Field, Field,
RootModel, RootModel,
field_validator, field_validator,
model_validator,
ValidationInfo, ValidationInfo,
BeforeValidator, BeforeValidator,
) )
@ -37,6 +52,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}
@ -57,6 +81,135 @@ class LinkMLMeta(RootModel):
NUMPYDANTIC_VERSION = "1.2.1" NUMPYDANTIC_VERSION = "1.2.1"
class VectorDataMixin(BaseModel):
"""
Mixin class to give VectorData indexing abilities
"""
_index: Optional["VectorIndex"] = None
# redefined in `VectorData`, but included here for testing and type checking
value: Optional[NDArray] = None
def __init__(self, value: Optional[NDArray] = None, **kwargs):
if value is not None and "value" not in kwargs:
kwargs["value"] = value
super().__init__(**kwargs)
def __getitem__(self, item: Union[str, int, slice, Tuple[Union[str, int, slice], ...]]) -> Any:
if self._index:
# Following hdmf, VectorIndex is the thing that knows how to do the slicing
return self._index[item]
else:
return self.value[item]
def __setitem__(self, key: Union[int, str, slice], value: Any) -> None:
if self._index:
# Following hdmf, VectorIndex is the thing that knows how to do the slicing
self._index[key] = value
else:
self.value[key] = value
def __getattr__(self, item: str) -> Any:
"""
Forward getattr to ``value``
"""
try:
return BaseModel.__getattr__(self, item)
except AttributeError as e:
try:
return getattr(self.value, item)
except AttributeError:
raise e from None
def __len__(self) -> int:
"""
Use index as length, if present
"""
if self._index:
return len(self._index)
else:
return len(self.value)
class TimeSeriesReferenceVectorDataMixin(VectorDataMixin):
"""
Mixin class for TimeSeriesReferenceVectorData -
very simple, just indexing the given timeseries object.
These shouldn't have additional fields in them, just the three columns
for index, span, and timeseries
"""
idx_start: NDArray[Any, int]
count: NDArray[Any, int]
timeseries: NDArray[Any, BaseModel]
@model_validator(mode="after")
def ensure_equal_length(self) -> "TimeSeriesReferenceVectorDataMixin":
assert len(self.idx_start) == len(self.timeseries) == len(self.count), (
f"Columns have differing lengths: idx: {len(self.idx_start)}, count: {len(self.count)},"
f" timeseries: {len(self.timeseries)}"
)
return self
def __len__(self) -> int:
"""Since we have ensured equal length, just return idx_start"""
return len(self.idx_start)
@overload
def _slice_helper(self, item: int) -> slice: ...
@overload
def _slice_helper(self, item: slice) -> List[slice]: ...
def _slice_helper(self, item: Union[int, slice]) -> Union[slice, List[slice]]:
if isinstance(item, (int, np.integer)):
return slice(self.idx_start[item], self.idx_start[item] + self.count[item])
else:
starts = self.idx_start[item]
ends = starts + self.count[item]
return [slice(start, end) for start, end in zip(starts, ends)]
def __getitem__(self, item: Union[int, slice, Iterable]) -> Any:
if self._index is not None:
raise NotImplementedError(
"VectorIndexing with TimeSeriesReferenceVectorData is not supported because it is"
" never done in the core schema."
)
if isinstance(item, (int, np.integer)):
return self.timeseries[self._slice_helper(item)]
elif isinstance(item, slice):
return [self.timeseries[subitem] for subitem in self._slice_helper(item)]
elif isinstance(item, Iterable):
return [self.timeseries[self._slice_helper(subitem)] for subitem in item]
else:
raise ValueError(
f"Dont know how to index with {item}, must be an int, slice, or iterable"
)
def __setitem__(self, key: Union[int, slice, Iterable], value: Any) -> None:
if self._index is not None:
raise NotImplementedError(
"VectorIndexing with TimeSeriesReferenceVectorData is not supported because it is"
" never done in the core schema."
)
if isinstance(key, (int, np.integer)):
self.timeseries[self._slice_helper(key)] = value
elif isinstance(key, slice):
for subitem in self._slice_helper(key):
self.timeseries[subitem] = value
elif isinstance(key, Iterable):
for subitem in key:
self.timeseries[self._slice_helper(subitem)] = value
else:
raise ValueError(
f"Dont know how to index with {key}, must be an int, slice, or iterable"
)
ModelType = TypeVar("ModelType", bound=Type[BaseModel]) ModelType = TypeVar("ModelType", bound=Type[BaseModel])
@ -102,7 +255,7 @@ class NWBData(Data):
name: str = Field(...) name: str = Field(...)
class TimeSeriesReferenceVectorData(VectorData): class TimeSeriesReferenceVectorData(TimeSeriesReferenceVectorDataMixin, VectorData):
""" """
Column storing references to a TimeSeries (rows). For each TimeSeries this VectorData column stores the start_index and count to indicate the range in time to be selected as well as an object reference to the TimeSeries. Column storing references to a TimeSeries (rows). For each TimeSeries this VectorData column stores the start_index and count to indicate the range in time to be selected as well as an object reference to the TimeSeries.
""" """

View file

@ -34,6 +34,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -27,6 +27,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -44,6 +44,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -37,6 +37,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -51,6 +51,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -50,6 +50,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -35,6 +35,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

View file

@ -43,6 +43,15 @@ class ConfiguredBaseModel(BaseModel):
) )
object_id: Optional[str] = Field(None, description="Unique UUID for each object") object_id: Optional[str] = Field(None, description="Unique UUID for each object")
def __getitem__(self, val: Union[int, slice]) -> Any:
"""Try and get a value from value or "data" if we have it"""
if hasattr(self, "value") and self.value is not None:
return self.value[val]
elif hasattr(self, "data") and self.data is not None:
return self.data[val]
else:
raise KeyError("No value or data field to index from")
class LinkMLMeta(RootModel): class LinkMLMeta(RootModel):
root: Dict[str, Any] = {} root: Dict[str, Any] = {}

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