bsrn.archive.LR0004#

class bsrn.archive.LR0004(*, stationDescChange=False, stationDescChangeDay=None, stationDescChangeHour=None, stationDescChangeMinute=None, surfaceType, topographyType, address, telephone=None, fax=None, tcpip=None, mail=None, latitude, longitude, altitude, synop=None, horizonChange=False, horizonChangeDay=None, horizonChangeHour=None, horizonChangeMinute=None, azimuth=None, elevation=None)[source]#
Parameters:
__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.

Parameters:

data (Any)

Return type:

None

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)

get_bsrn_format()

Emit LR0004 block.

get_format_value(var_name)

Format a single field for ASCII output.

is_mandatory(var_name)

Return whether var_name is mandatory.

is_missing(var_name)

Return whether var_name is currently None.

is_values_missing()

Return whether any mandatory field is None.

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

mandatories()

List mandatory field names.

missings()

List mandatory fields that are None.

model_construct([_fields_set])

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

model_copy(*[, update, deep])

!!! abstract "Usage Documentation"

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

!!! abstract "Usage Documentation"

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

!!! abstract "Usage Documentation"

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, ...])

!!! abstract "Usage Documentation"

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])

stop_if_values_missing([message])

Raise if any mandatory field is missing.

update_forward_refs(**localns)

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.

stationDescChange

stationDescChangeDay

stationDescChangeHour

stationDescChangeMinute

surfaceType

topographyType

address

telephone

fax

tcpip

mail

latitude

longitude

altitude

synop

horizonChange

horizonChangeDay

horizonChangeHour

horizonChangeMinute

azimuth

elevation