mirror of https://github.com/eyhc1/rendercv.git
avod using bare excepts
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r"""RenderCV package.
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It parses the user input YAML/JSON file and validates the data (checks spelling mistakes, checks if the dates are consistent, etc.). Then, with the data, it creates a $\LaTeX$ file and renders it with [TinyTeX](https://yihui.org/tinytex/).
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It parses the user input YAML/JSON file and validates the data (checks spelling
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mistakes, checks if the dates are consistent, etc.). Then, with the data, it creates a
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$\LaTeX$ file and renders it with [TinyTeX](https://yihui.org/tinytex/).
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"""
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import logging
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@ -25,12 +25,13 @@ def main(args=sys.argv[1:]):
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" the input file path."
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)
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input_file_path = sys.argv[1]
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# input_file_path = sys.argv[1]
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file_path = os.path.join(os.getcwd(), input_file_path)
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data = read_input_file(file_path)
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output_latex_file = render_template(data)
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output_pdf_file = run_latex(output_latex_file)
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logger.info(f"RenderCV: PDF file generated at {output_pdf_file}")
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if __name__ == "__main__":
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main()
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main(args=["tests/inputs/personal.yaml"])
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@ -191,6 +191,9 @@ def format_date(date: Date) -> str:
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Returns:
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str: The formatted date.
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"""
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if not isinstance(date, Date):
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raise TypeError("date is not a Date object!")
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# Month abbreviations,
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# taken from: https://web.library.yale.edu/cataloging/months
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abbreviations_of_months = [
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@ -683,7 +686,7 @@ class Event(BaseModel):
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# If this runs, it means the date is an ISO format string, and it can be
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# parsed
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month_and_year = format_date(self.date)
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except:
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except TypeError:
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month_and_year = self.date
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else:
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# Then it means start_date and end_date are provided and month_and_year
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@ -829,7 +832,7 @@ class PublicationEntry(Event):
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try:
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urllib.request.urlopen(doi_url)
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except:
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except urllib.request.HTTPError:
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raise ValueError(f"{doi} cannot be found in the DOI System.")
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return doi
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@ -5,10 +5,10 @@ This module is a script to run the RenderCV and generate a CV as a PDF.
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import os
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import rendercv
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import rendercv.__main__ as rendercv
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input_name = "personal"
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workspace = os.path.dirname(__file__)
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file_path = os.path.join(workspace, "tests", "inputs", f"{input_name}.yaml")
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rendercv(file_path)
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rendercv.main(args=[file_path])
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@ -101,7 +101,7 @@
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\LenToUnit{\paperwidth-1.35 cm},
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\LenToUnit{\paperheight-0.675 cm}
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){\vtop{{\null}\makebox[0pt][c]{
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\small\color{gray}\emph{Last updated on October 08, 2023} \hspace{\widthof{Last updated on October 08, 2023}}
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\small\color{gray}\emph{Last updated on REPLACE_THIS_WITH_TODAY} \hspace{\widthof{Last updated on REPLACE_THIS_WITH_TODAY}}
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}}}%
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}%
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}%
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@ -5,8 +5,6 @@ import shutil
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from rendercv import rendering, data_model
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from pydantic import ValidationError
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class TestDataModel(unittest.TestCase):
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def test_markdown_to_latex(self):
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@ -378,6 +376,9 @@ class TestDataModel(unittest.TestCase):
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output = file.read()
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with open(reference_file_path, "r") as file:
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reference = file.read()
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reference = reference.replace(
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"REPLACE_THIS_WITH_TODAY", rendering.get_today()
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)
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self.assertEqual(output, reference)
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@ -406,5 +407,6 @@ class TestDataModel(unittest.TestCase):
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# rendering.run_latex(latex_file_path)
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if __name__ == "__main__":
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unittest.main()
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