mirror of https://github.com/eyhc1/rendercv.git
refactor data_models.py
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@ -1,9 +1,8 @@
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"""
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"""
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This module contains all the necessary classes to store CV data. The YAML input file is
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This module contains all the necessary classes to store CV data. The YAML input file is
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transformed into instances of these classes (i.e., the input file is read) in the
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transformed into instances of these classes (i.e., the input file is read) with the
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[input_reader](https://sinaatalay.github.io/rendercv/code_documentation/input_reader/)
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[`read_input_file`](utilities.md#read_input_file) function. RenderCV utilizes these
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module. RenderCV utilizes these instances to generate a CV. These classes are called
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instances to generate a CV. These classes are called data models.
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data models.
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The data models are initialized with data validation to prevent unexpected bugs. During
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The data models are initialized with data validation to prevent unexpected bugs. During
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the initialization, we ensure that everything is in the correct place and that the user
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the initialization, we ensure that everything is in the correct place and that the user
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@ -810,6 +809,8 @@ class CurriculumVitae(RenderCVBaseModel):
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# ======================================================================================
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# ======================================================================================
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# ======================================================================================
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# ======================================================================================
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Design = ClassicThemeOptions
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class RenderCVDataModel(RenderCVBaseModel):
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class RenderCVDataModel(RenderCVBaseModel):
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"""This class binds both the CV and the design information together."""
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"""This class binds both the CV and the design information together."""
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@ -818,7 +819,7 @@ class RenderCVDataModel(RenderCVBaseModel):
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title="Curriculum Vitae",
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title="Curriculum Vitae",
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description="The data of the CV.",
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description="The data of the CV.",
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)
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)
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design: ClassicThemeOptions = pydantic.Field(
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design: Design = pydantic.Field(
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title="Design",
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title="Design",
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description="The design information.",
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description="The design information.",
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discriminator="theme",
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discriminator="theme",
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