68 lines
1.9 KiB
Python

from pathlib import Path
import typer
from job_research.profile.cv_extractor import extract_cv_signals, extract_pdf_text
from job_research.profile.merge import build_candidate_profile_output
from job_research.profile.profile_parser import parse_profile_markdown
from job_research.storage import save_candidate_profile_yaml
app = typer.Typer(help="Build one canonical candidate profile YAML")
@app.callback()
def main_command() -> None:
pass
@app.command("build-profile")
def build_profile(
cv: Path = typer.Option(
...,
"--cv",
exists=True,
dir_okay=False,
readable=True,
help="Path to the CV PDF or UTF-8 text file.",
),
profile: Path = typer.Option(
...,
"--profile",
exists=True,
dir_okay=False,
readable=True,
help="Path to the light-template markdown profile.",
),
out: Path = typer.Option(
Path("data/candidate-profile.yaml"),
"--out",
dir_okay=False,
help="Path to write the canonical YAML profile.",
),
) -> None:
"""Build candidate-profile.yaml from CV and markdown profile."""
cv_text = extract_pdf_text(cv) if cv.suffix.lower() == ".pdf" else cv.read_text(encoding="utf-8")
if not cv_text.strip():
raise ValueError("No readable text found in CV input")
authored_profile = parse_profile_markdown(profile.read_text(encoding="utf-8"))
cv_signals = extract_cv_signals(cv_text)
candidate_profile = build_candidate_profile_output(cv_signals, authored_profile)
save_candidate_profile_yaml(out, candidate_profile)
typer.echo(f"candidate profile written to {out}")
warning_count = len(candidate_profile.warnings)
if warning_count:
typer.echo(f"Warnings included: {warning_count}")
else:
typer.echo("No warnings included.")
def main() -> None:
app()
if __name__ == "__main__":
main()