mirror of https://github.com/eyhc1/rendercv.git
move the contents of __main__.py to cli.py
This commit is contained in:
Sina Atalay
parent
6eac49f38e
commit
63080fe67d
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@ -1,83 +1,4 @@
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import json
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import pathlib
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from typing import Annotated
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import typer
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from rich.prompt import Prompt
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import ruamel.yaml
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from . import user_communicator as uc
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from . import data_models as dm
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from . import renderer as r
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app = typer.Typer(
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# callback=uc.print_rendercv_graphics(),
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help="RenderCV - A LateX CV generator from YAML",
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rich_markup_mode=( # see https://typer.tiangolo.com/tutorial/commands/help/#rich-markdown
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"markdown"
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),
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)
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@app.command(help="Render a YAML input file")
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@uc.handle_exceptions
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def render(
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input_file_path: Annotated[
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pathlib.Path,
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typer.Argument(help="Name of the YAML input file"),
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],
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):
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"""Generate a LaTeX CV from a YAML input file.
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Args:
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input_file (str): Name of the YAML input file
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"""
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output_directory = input_file_path.parent / "rendercv_output"
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with uc.LiveProgressReporter(number_of_steps=3) as progress:
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progress.start_a_step("Reading the input file")
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data_model = dm.read_input_file(input_file_path)
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progress.finish_the_current_step()
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progress.start_a_step("Generating the LaTeX file")
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latex_file_path = r.generate_latex_file(data_model, output_directory)
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progress.finish_the_current_step()
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progress.start_a_step("Converting the LaTeX file to PDF")
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r.latex_to_pdf(latex_file_path)
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progress.finish_the_current_step()
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@app.command(help="Generate a YAML input file to get started.")
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def new():
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""" """
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name = Prompt.ask("What is your name?")
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data_model = dm.get_a_sample_data_model(name)
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file_name = f"{name.replace(' ', '_')}_CV.yaml"
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file_path = pathlib.Path(file_name)
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# Instead of getting the dictionary with data_model.model_dump() directy, we convert
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# it to JSON and then to a dictionary. Because the YAML library we are using
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# sometimes has problems with the dictionary returned by model_dump().
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data_model_as_json = data_model.model_dump_json(
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exclude_none=True, by_alias=True, exclude={"cv": {"sections"}}
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)
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data_model_as_dictionary = json.loads(data_model_as_json)
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yaml = ruamel.yaml.YAML()
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yaml.indent(mapping=2, sequence=4, offset=2)
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with open(file_path, "w") as file:
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yaml.dump(data_model_as_dictionary, file)
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def cli():
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"""Start the CLI application.
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This function is the entry point for RenderCV.
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"""
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app()
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from .cli import cli
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if __name__ == "__main__":
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cli()
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@ -0,0 +1,80 @@
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import json
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import pathlib
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from typing import Annotated
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import typer
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import ruamel.yaml
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from . import user_communicator as uc
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from . import data_models as dm
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from . import renderer as r
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app = typer.Typer(
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help="RenderCV - A LaTeX CV generator from YAML",
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rich_markup_mode=( # see https://typer.tiangolo.com/tutorial/commands/help/#rich-markdown
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"markdown"
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),
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)
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@app.command(help="Render a YAML input file")
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@uc.handle_exceptions
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def render(
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input_file_path: Annotated[
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pathlib.Path,
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typer.Argument(help="Name of the YAML input file"),
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],
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):
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"""Generate a LaTeX CV from a YAML input file.
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Args:
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input_file (str): Name of the YAML input file
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"""
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uc.welcome()
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output_directory = input_file_path.parent / "rendercv_output"
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with uc.LiveProgressReporter(number_of_steps=3) as progress:
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progress.start_a_step("Reading and validating the input file")
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data_model = dm.read_input_file(input_file_path)
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progress.finish_the_current_step()
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progress.start_a_step("Generating the LaTeX file")
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latex_file_path = r.generate_latex_file(data_model, output_directory)
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progress.finish_the_current_step()
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progress.start_a_step("Rendering the LaTeX file to a PDF")
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r.latex_to_pdf(latex_file_path)
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progress.finish_the_current_step()
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@app.command(help="Generate a YAML input file to get started.")
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def new(full_name: Annotated[str, typer.Argument(help="Your full name")]):
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"""Generate a YAML input file to get started."""
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data_model = dm.get_a_sample_data_model(full_name)
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file_name = f"{full_name.replace(' ', '_')}_CV.yaml"
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file_path = pathlib.Path(file_name)
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# Instead of getting the dictionary with data_model.model_dump() directy, we convert
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# it to JSON and then to a dictionary. Because the YAML library we are using
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# sometimes has problems with the dictionary returned by model_dump().
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data_model_as_json = data_model.model_dump_json(
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exclude_none=True, by_alias=True, exclude={"cv": {"sections"}}
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)
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data_model_as_dictionary = json.loads(data_model_as_json)
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yaml = ruamel.yaml.YAML()
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yaml.indent(mapping=2, sequence=4, offset=2)
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with open(file_path, "w") as file:
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yaml.dump(data_model_as_dictionary, file)
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uc.information(f"Your RenderCV input file has been created at {file_path}!")
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def cli():
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"""Start the CLI application.
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This function is the entry point of the RenderCV. The execution starts here.
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"""
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app()
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