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data_models: generalize read_input_file

This commit is contained in:
Sina Atalay 2024-05-10 15:56:34 +03:00
parent 7de8ef8a4a
commit 30c1ffeafd
1 changed files with 26 additions and 19 deletions
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45
rendercv/data_models.py
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@ -1275,7 +1275,7 @@ def set_or_update_a_value(
def read_input_file( def read_input_file(
file_path: pathlib.Path, file_path_or_contents: pathlib.Path | str,
) -> RenderCVDataModel: ) -> RenderCVDataModel:
"""Read the input file and return two instances of """Read the input file and return two instances of
[RenderCVDataModel](#rendercv.data_models.RenderCVDataModel). The first instance is [RenderCVDataModel](#rendercv.data_models.RenderCVDataModel). The first instance is
@ -1288,26 +1288,33 @@ def read_input_file(
Returns: Returns:
RenderCVDataModel: The data models with $\\LaTeX$ and markdown strings. RenderCVDataModel: The data models with $\\LaTeX$ and markdown strings.
""" """
# check if the file exists: if isinstance(file_path_or_contents, pathlib.Path):
if not file_path.exists(): # check if the file exists:
raise FileNotFoundError( if not file_path_or_contents.exists():
f"The input file [magenta]{file_path}[/magenta] doesn't exist!" raise FileNotFoundError(
) f"The input file [magenta]{file_path_or_contents}[/magenta] doesn't"
" exist!"
)
# check the file extension: # check the file extension:
accepted_extensions = [".yaml", ".yml", ".json", ".json5"] accepted_extensions = [".yaml", ".yml", ".json", ".json5"]
if file_path.suffix not in accepted_extensions: if file_path_or_contents.suffix not in accepted_extensions:
user_friendly_accepted_extensions = [ user_friendly_accepted_extensions = [
f"[green]{ext}[/green]" for ext in accepted_extensions f"[green]{ext}[/green]" for ext in accepted_extensions
] ]
user_friendly_accepted_extensions = ", ".join(user_friendly_accepted_extensions) user_friendly_accepted_extensions = ", ".join(
raise ValueError( user_friendly_accepted_extensions
"The input file should have one of the following extensions:" )
f" {user_friendly_accepted_extensions}. The input file is" raise ValueError(
f" [magenta]{file_path}[/magenta]." "The input file should have one of the following extensions:"
) f" {user_friendly_accepted_extensions}. The input file is"
f" [magenta]{file_path_or_contents}[/magenta]."
)
file_content = file_path_or_contents.read_text(encoding="utf-8")
else:
file_content = file_path_or_contents
file_content = file_path.read_text(encoding="utf-8")
input_as_dictionary: dict[str, Any] = ruamel.yaml.YAML().load(file_content) # type: ignore input_as_dictionary: dict[str, Any] = ruamel.yaml.YAML().load(file_content) # type: ignore
# validate the parsed dictionary by creating an instance of RenderCVDataModel: # validate the parsed dictionary by creating an instance of RenderCVDataModel: