import os
import csv
import requests
from bs4 import BeautifulSoup
from fpdf import FPDF

# -------------------------------------------------------------------------
# CODE & CANVAS BRAND DESIGN TOKENS
# -------------------------------------------------------------------------
COLOR_LINEN = (250, 248, 245)      # #FAF8F5 - Default background canvas[span_2](start_span)[span_2](end_span)
COLOR_NAVY = (26, 35, 50)          # #1A2332 - Deep structural headers[span_3](start_span)[span_3](end_span)
COLOR_TERRACOTTA = (211, 107, 77)  # #D36B4D - Primary visual accents[span_4](start_span)[span_4](end_span)
COLOR_CHARCOAL = (43, 43, 43)      # #2B2B2B - High-legibility body text[span_5](start_span)[span_5](end_span)
COLOR_BORDER = (229, 222, 201)     # #E5DEC9 - Thin muted gridlines[span_6](start_span)[span_6](end_span)

CSV_URL = "https://raw.githubusercontent.com/CodeAndCanvas728/repobase/refs/heads/main/RepoDatabase.csv"

class CodeCanvasPDF(FPDF):
    def header(self):
        # Establish Editorial Minimalism and generous margins
        self.set_fill_color(*COLOR_LINEN)
        self.rect(0, 0, 210, 297, 'F')
        
        # Subtle top accent line instead of heavy borders
        self.set_draw_color(*COLOR_BORDER)
        self.set_line_width(0.5)
        self.line(15, 15, 195, 15)
        
        # Standalone Ampersand Shorthand as the brand anchor
        self.set_text_color(*COLOR_TERRACOTTA)
        self.set_font("Times", "I", 16) # Elegant serif substitution for Georgia
        self.text(15, 25, "&")
        self.set_text_color(*COLOR_NAVY)
        self.set_font("Helvetica", "B", 8) # Sans-serif for technical meta-tags
        self.text(23, 23, "CODE & CANVAS | INSIGHTS")

    def footer(self):
        self.set_text_color(*COLOR_CHARCOAL)
        self.set_font("Helvetica", "", 8)
        self.text(185, 285, f"Page {self.page_no()}")

def clean_typography(text):
    """Enforces the strict micro-styling rule: Absolutely no em-dashes."""
    return text.replace("—", " : ").replace("--", " - ")

def fetch_subject():
    try:
        response = requests.get(CSV_URL, timeout=10)
        if response.status_code == 200 and response.text.strip():
            lines = response.text.splitlines()
            reader = csv.DictReader(lines)
            for row in reader:
                if row.get('Used', '').lower() == 'no':
                    return {
                        "title": row['Title'],
                        "desc": row['Description'],
                        "points": [row['Point1'], row['Point2'], row['Point3']],
                        "url": row.get('URL', '')
                    }
    except Exception:
        pass
    
    # Fallback Logic: Scrape GitHub Trending AI/LLM Python/Go repositories
    try:
        fb_res = requests.get("https://github.com/trending", timeout=10)
        soup = BeautifulSoup(fb_res.text, 'html.parser')
        repo = soup.find('article', class_='Box-row')
        title = repo.find('h2', class_='h3').text.strip().replace('\n', '').replace(' ', '')
        desc = repo.find('p', class_='col-9').text.strip()
        return {
            "title": title,
            "desc": desc,
            "points": ["Open-source community standard", "Highly scalable architecture", "Streamlined local environment deployment"],
            "url": f"https://github.com/{title}"
        }
    except Exception:
        return {
            "title": "Model Context Protocol",
            "desc": "An open standard enabling secure, structured data communication layers between local environments and LLMs.",
            "points": ["Eliminates custom integration glue code", "Maintains clean architectural boundaries", "Built for developer tool interoperability"],
            "url": "https://github.com/modelcontextprotocol"
        }

def generate_assets():
    data = fetch_subject()
    title = clean_typography(data['title'])
    desc = clean_typography(data['desc'])
    points = [clean_typography(p) for p in data['points']]
    
    # -------------------------------------------------------------------------
    # 1. GENERATE THE BRANDED PDF
    # -------------------------------------------------------------------------
    pdf = CodeCanvasPDF()
    pdf.set_margins(15, 30, 15)
    pdf.add_page()
    
    # Title Layout (High-contrast Serif Display Style)
    pdf.set_y(40)
    pdf.set_text_color(*COLOR_NAVY)
    pdf.set_font("Times", "", 28) # Georgia alternative
    pdf.multi_cell(180, 12, title)
    
    # Accent Divider Line
    pdf.set_draw_color(*COLOR_BORDER)
    pdf.line(15, pdf.get_y() + 5, 80, pdf.get_y() + 5)
    
    # Brief Informational Summary
    pdf.set_y(pdf.get_y() + 15)
    pdf.set_text_color(*COLOR_CHARCOAL)
    pdf.set_font("Helvetica", "", 11) # Sans-serif structural body text
    pdf.multi_cell(180, 7, desc)
    
    # Structured Grid for Key Highlights
    pdf.set_y(pdf.get_y() + 15)
    for idx, pt in enumerate(points, 1):
        pdf.set_draw_color(*COLOR_BORDER)
        pdf.set_fill_color(*COLOR_LINEN)
        # Structural thin-bordered card layouts
        pdf.rect(15, pdf.get_y(), 180, 18, 'DF')
        
        pdf.set_x(20)
        pdf.set_text_color(*COLOR_TERRACOTTA)
        pdf.set_font("Times", "I", 12)
        pdf.cell(10, 18, f"0{idx}")
        
        pdf.set_text_color(*COLOR_CHARCOAL)
        pdf.set_font("Helvetica", "", 10)
        pdf.cell(160, 18, pt)
        pdf.set_y(pdf.get_y() + 22)
        
    pdf_filename = "linkedin_insight_asset.pdf"
    pdf.output(pdf_filename)
    
    # -------------------------------------------------------------------------
    # 2. GENERATE LINKEDIN POST COPY
    # -------------------------------------------------------------------------
    post_copy = f"""💡 Weekly AI Architecture Breakdown

Looking closely at modern workflows, complexity often hides in plain sight. Today we are looking at {title}.

What it is:
{desc}

Key Architecture Considerations:
• {points[0]}
• {points[1]}
• {points[2]}

The complete visual documentation is attached below as an editorial carousel blueprint.

Repository Link: {data['url']}

#SoftwareArchitecture #DeveloperTools #TechInsights #CodeAndCanvas"""

    print("--- LINKEDIN POST DRAFT ---")
    print(post_copy)
    print("\n--- ASSET STATUS ---")
    print(f"Success: {pdf_filename} generated inside your directory following brand design guidelines.")

if __name__ == "__main__":
    generate_assets()