scitacean.model.UploadDerivedDataset

class scitacean.model.UploadDerivedDataset(**data)

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Methods

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
construct([_fields_set])
copy(*[, include, exclude, update, deep])	Returns a copy of the model.
dict(*[, include, exclude, by_alias, ...])
download_model_type()	Return the download model type for this model.
from_orm(obj)
json(*[, include, exclude, by_alias, ...])
model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])
model_dump(*[, mode, include, exclude, ...])
model_dump_json(*[, indent, ensure_ascii, ...])
model_json_schema([by_alias, ref_template, ...])	Generates a JSON schema for a model class.
model_parametrized_name(params)	Compute the class name for parametrizations of generic classes.
model_post_init(context, /)	Override this method to perform additional initialization after __init__ and model_construct.
model_rebuild(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *[, strict, extra, ...])	Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])
model_validate_strings(obj, *[, strict, ...])	Validate the given object with string data against the Pydantic model.
parse_file(path, *[, content_type, ...])
parse_obj(obj)
parse_raw(b, *[, content_type, encoding, ...])
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
update_forward_refs(**localns)
upload_model_type()	Return the upload model type for this model.
user_model_type()	Return the user model type for this model.
validate(value)

Attributes

model_computed_fields
model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extra	Get extra fields set during validation.
model_fields
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
contactEmail
creationTime
datasetName
inputDatasets
investigator
numberOfFilesArchived
owner
ownerGroup
sourceFolder
type
usedSoftware
accessGroups
classification
comment
dataQualityMetrics
description
instrumentGroup
isPublished
jobLogData
jobParameters
keywords
license
scientificMetadata
numberOfFiles
orcidOfOwner
ownerEmail
packedSize
proposalId
relationships
runNumber
sharedWith
size
sourceFolderHost
techniques
validationStatus