sdk/oapiSdk/lark_oapi/api/hire/v2/model/dimension_assessment.py

91 lines
3.7 KiB
Python

# Code generated by Lark OpenAPI.
from typing import Any, Optional, Union, Dict, List, Set, IO, Callable, Type
from lark_oapi.core.construct import init
from .i18n import I18n
from .dimension_option import DimensionOption
from .dimension_option import DimensionOption
from .recommended_job_level import RecommendedJobLevel
from .question_assessment import QuestionAssessment
class DimensionAssessment(object):
_types = {
"interview_feedback_form_dimension_id": str,
"dimension_name": I18n,
"dimension_type": int,
"weight": float,
"dimension_content": str,
"dimension_option": DimensionOption,
"dimension_options": List[DimensionOption],
"dimension_score": int,
"recommended_job_level": RecommendedJobLevel,
"question_assessments": List[QuestionAssessment],
}
def __init__(self, d=None):
self.interview_feedback_form_dimension_id: Optional[str] = None
self.dimension_name: Optional[I18n] = None
self.dimension_type: Optional[int] = None
self.weight: Optional[float] = None
self.dimension_content: Optional[str] = None
self.dimension_option: Optional[DimensionOption] = None
self.dimension_options: Optional[List[DimensionOption]] = None
self.dimension_score: Optional[int] = None
self.recommended_job_level: Optional[RecommendedJobLevel] = None
self.question_assessments: Optional[List[QuestionAssessment]] = None
init(self, d, self._types)
@staticmethod
def builder() -> "DimensionAssessmentBuilder":
return DimensionAssessmentBuilder()
class DimensionAssessmentBuilder(object):
def __init__(self) -> None:
self._dimension_assessment = DimensionAssessment()
def interview_feedback_form_dimension_id(self,
interview_feedback_form_dimension_id: str) -> "DimensionAssessmentBuilder":
self._dimension_assessment.interview_feedback_form_dimension_id = interview_feedback_form_dimension_id
return self
def dimension_name(self, dimension_name: I18n) -> "DimensionAssessmentBuilder":
self._dimension_assessment.dimension_name = dimension_name
return self
def dimension_type(self, dimension_type: int) -> "DimensionAssessmentBuilder":
self._dimension_assessment.dimension_type = dimension_type
return self
def weight(self, weight: float) -> "DimensionAssessmentBuilder":
self._dimension_assessment.weight = weight
return self
def dimension_content(self, dimension_content: str) -> "DimensionAssessmentBuilder":
self._dimension_assessment.dimension_content = dimension_content
return self
def dimension_option(self, dimension_option: DimensionOption) -> "DimensionAssessmentBuilder":
self._dimension_assessment.dimension_option = dimension_option
return self
def dimension_options(self, dimension_options: List[DimensionOption]) -> "DimensionAssessmentBuilder":
self._dimension_assessment.dimension_options = dimension_options
return self
def dimension_score(self, dimension_score: int) -> "DimensionAssessmentBuilder":
self._dimension_assessment.dimension_score = dimension_score
return self
def recommended_job_level(self, recommended_job_level: RecommendedJobLevel) -> "DimensionAssessmentBuilder":
self._dimension_assessment.recommended_job_level = recommended_job_level
return self
def question_assessments(self, question_assessments: List[QuestionAssessment]) -> "DimensionAssessmentBuilder":
self._dimension_assessment.question_assessments = question_assessments
return self
def build(self) -> "DimensionAssessment":
return self._dimension_assessment