doplaydo.dodata_core.models.Wafer

doplaydo.dodata_core.models.Wafer#

class doplaydo.dodata_core.models.Wafer(*, pkey: int | None = None, wafer_id: str, description: str | None, lot_id: str | None = None, attributes: dict = {}, timestamp: datetime = None, project_pkey: int)[source]#
__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, ...])

from_orm(obj[, update])

json(*[, include, exclude, by_alias, ...])

model_construct([_fields_set])

Creates a new instance of the Model class with validated data.

model_copy(*[, update, deep])

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#model_copy

model_dump(*[, mode, include, exclude, ...])

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump

model_dump_json(*[, indent, include, ...])

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump_json

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(_BaseModel__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, ...])

Validate a pydantic model instance.

model_validate_json(json_data, *[, strict, ...])

Usage docs: https://docs.pydantic.dev/2.9/concepts/json/#json-parsing

model_validate_strings(obj, *[, strict, context])

Validate the given object with string data against the Pydantic model.

parse_file(path, *[, content_type, ...])

parse_obj(obj[, update])

parse_raw(b, *[, content_type, encoding, ...])

schema([by_alias, ref_template])

schema_json(*[, by_alias, ref_template])

sqlmodel_update(obj, *[, update])

update_forward_refs(**localns)

validate(value)

Attributes

analysis

Wafer-level analyses associated with this wafer.

attributes

Attributes associated with the wafer, in JSON format.

description

Description of the wafer.

dies

Dies in this wafer.

lot_id

The name of the lot which this wafer belongs to (optional).

metadata

model_computed_fields

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

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

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.

model_fields_set

Returns the set of fields that have been explicitly set on this model instance.

pkey

The primary key (unique identifier) of the wafer.

project

The project associated with this wafer.

project_pkey

The primary key of the project associated with this wafer.

timestamp

The date and time (UTC) when this wafer was uploaded.

wafer_id

The name of the wafer.