resume/processing/content.py

from typing import Any


def summary_to_md(data: dict[str, Any], lang: str = "en", headline: str = ""):
    if "summary" not in data:
        return
    md = f"{headline}\n\n {data['summary'][lang]}\n\n"

    return md

def _publication_md(publication: str, subdued: bool):
    md = "> "
    if subdued:
        md += "\\textcolor{publication}{"
    md += publication
    if subdued:
        md += "}"
    return f"{md}\n\n"

def experience_to_md(
    data: dict[str, Any],
    lang: str = "en",
    headline: str = "",
    subdued_publications: bool = True,
):
    if "experience" not in data:
        return

    md = f"{headline}\n\n"
    md += "\\definecolor{publication}{rgb}{0.5,0.5,0.5}\n\n"
    for exp in data["experience"]:
        md += f"## {exp['title'][lang]}\\hfill{exp['date'][lang]}\n\n"

        if "publication" in exp:
            md += _publication_md(exp['publication'][lang], subdued_publications)

        for point in exp["bullets"]:
            md += f"* {point[lang]}\n"
        md += "\n\n"

    return md


def education_to_md(data: dict[str, Any], lang: str = "en", headline: str = ""):
    if "education" not in data:
        return

    md = f"{headline}\n\n"
    for edu in data["education"]:
        md += (
            f"{edu['place'][lang]}\n\n: {edu['program'][lang]}; {edu['date'][lang]}\n\n"
        )

    return md


def qualifications_to_md(data: dict[str, Any], lang: str = "en", headline: str = ""):
    if "skills" not in data:
        return

    md = f"{headline}\n\n"
    for skillset in data["skills"]:
        md += f"{skillset[lang]}\n\n"
        for content in skillset["content"]:
            md += f": {content['name'][lang]} ({', '.join([item[lang] for item in content['items']])})\n"
        md += "\n"

    return md