from fpdf import FPDF
import os
from app.services.hf_storage_service import HuggingFaceStorageService
import unicodedata
import markdown2

storage_service = HuggingFaceStorageService()

def normalize_text(text: str) -> str:
    replacements = {
        "’": "'", "‘": "'",
        "“": '"', "”": '"',
        "—": "-", "–": "-",
        "…": "...",
        "→": "->",
        "•": "-", 
    }
    for old, new in replacements.items():
        text = text.replace(old, new)

    # Convert accented letters to closest ASCII equivalent
    text = unicodedata.normalize('NFKD', text).encode('ascii', 'ignore').decode('ascii')

    return text


def save_pdf(text: str, filename: str) -> str:
    text = normalize_text(text)
    if filename is None:
        filename = f"coverletter_{uuid.uuid4().hex}.pdf"

    # Generate PDF in memory
    pdf = FPDF()
    pdf.add_page()
    pdf.set_font("Arial", size=11)
    pdf.set_auto_page_break(auto=True, margin=15)

    sections = text.split('\n\n')
    for section in sections:
        if section.strip():
            if any(word in section.lower() for word in ["best regards", "yours sincerely", "sincerely"]):
                pdf.ln(5)
                lines = section.strip().split('\n')
                for line in lines:
                    pdf.cell(0, 6, line.strip(), ln=True, align='L')
            else:
                pdf.multi_cell(0, 6, section.strip(), align='L')
                pdf.ln(8)

    pdf_data = pdf.output(dest='S').encode('latin-1', errors='replace')
 

    # Upload PDF bytes to Hugging Face using your class method
    url = storage_service.upload_file_to_hf(file_content=pdf_data, folder="cover-letters", filename=filename)
    return url

def build_cover_letter_md(
    your_name, postal_code, city, email, phone,
    job_title, company_name, generated_paragraphs
):
    template = f"""
{your_name}
{postal_code}, {city}
{email} | {phone}

Dear {company_name},

{generated_paragraphs}

Warm Regards,
{your_name}  
"""
    return template


def convert_md_to_text(md_text: str) -> str:
    """Convert markdown to plain text for PDF saving."""
    # markdown2 converts to HTML, then strip tags
    html = markdown2.markdown(md_text)
    plain_text = "".join(html.split("<")[0] if "<" in html else html for html in html.split(">"))
    return plain_text