3af56857c2
This script generates a branded PDF and a LinkedIn post draft based on data fetched from a CSV or GitHub trending repositories. It includes functions for cleaning text, fetching subjects, and creating a PDF layout with specific design tokens.
161 lines
6.3 KiB
Python
161 lines
6.3 KiB
Python
import os
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import csv
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import requests
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from bs4 import BeautifulSoup
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from fpdf import FPDF
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# -------------------------------------------------------------------------
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# CODE & CANVAS BRAND DESIGN TOKENS
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# -------------------------------------------------------------------------
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COLOR_LINEN = (250, 248, 245) # #FAF8F5 - Default background canvas[span_2](start_span)[span_2](end_span)
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COLOR_NAVY = (26, 35, 50) # #1A2332 - Deep structural headers[span_3](start_span)[span_3](end_span)
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COLOR_TERRACOTTA = (211, 107, 77) # #D36B4D - Primary visual accents[span_4](start_span)[span_4](end_span)
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COLOR_CHARCOAL = (43, 43, 43) # #2B2B2B - High-legibility body text[span_5](start_span)[span_5](end_span)
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COLOR_BORDER = (229, 222, 201) # #E5DEC9 - Thin muted gridlines[span_6](start_span)[span_6](end_span)
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CSV_URL = "https://raw.githubusercontent.com/CodeAndCanvas728/repobase/refs/heads/main/RepoDatabase.csv"
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class CodeCanvasPDF(FPDF):
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def header(self):
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# Establish Editorial Minimalism and generous margins
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self.set_fill_color(*COLOR_LINEN)
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self.rect(0, 0, 210, 297, 'F')
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# Subtle top accent line instead of heavy borders
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self.set_draw_color(*COLOR_BORDER)
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self.set_line_width(0.5)
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self.line(15, 15, 195, 15)
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# Standalone Ampersand Shorthand as the brand anchor
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self.set_text_color(*COLOR_TERRACOTTA)
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self.set_font("Times", "I", 16) # Elegant serif substitution for Georgia
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self.text(15, 25, "&")
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self.set_text_color(*COLOR_NAVY)
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self.set_font("Helvetica", "B", 8) # Sans-serif for technical meta-tags
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self.text(23, 23, "CODE & CANVAS | INSIGHTS")
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def footer(self):
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self.set_text_color(*COLOR_CHARCOAL)
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self.set_font("Helvetica", "", 8)
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self.text(185, 285, f"Page {self.page_no()}")
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def clean_typography(text):
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"""Enforces the strict micro-styling rule: Absolutely no em-dashes."""
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return text.replace("—", " : ").replace("--", " - ")
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def fetch_subject():
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try:
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response = requests.get(CSV_URL, timeout=10)
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if response.status_code == 200 and response.text.strip():
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lines = response.text.splitlines()
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reader = csv.DictReader(lines)
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for row in reader:
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if row.get('Used', '').lower() == 'no':
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return {
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"title": row['Title'],
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"desc": row['Description'],
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"points": [row['Point1'], row['Point2'], row['Point3']],
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"url": row.get('URL', '')
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}
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except Exception:
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pass
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# Fallback Logic: Scrape GitHub Trending AI/LLM Python/Go repositories
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try:
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fb_res = requests.get("https://github.com/trending", timeout=10)
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soup = BeautifulSoup(fb_res.text, 'html.parser')
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repo = soup.find('article', class_='Box-row')
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title = repo.find('h2', class_='h3').text.strip().replace('\n', '').replace(' ', '')
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desc = repo.find('p', class_='col-9').text.strip()
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return {
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"title": title,
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"desc": desc,
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"points": ["Open-source community standard", "Highly scalable architecture", "Streamlined local environment deployment"],
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"url": f"https://github.com/{title}"
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}
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except Exception:
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return {
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"title": "Model Context Protocol",
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"desc": "An open standard enabling secure, structured data communication layers between local environments and LLMs.",
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"points": ["Eliminates custom integration glue code", "Maintains clean architectural boundaries", "Built for developer tool interoperability"],
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"url": "https://github.com/modelcontextprotocol"
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}
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def generate_assets():
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data = fetch_subject()
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title = clean_typography(data['title'])
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desc = clean_typography(data['desc'])
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points = [clean_typography(p) for p in data['points']]
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# -------------------------------------------------------------------------
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# 1. GENERATE THE BRANDED PDF
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# -------------------------------------------------------------------------
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pdf = CodeCanvasPDF()
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pdf.set_margins(15, 30, 15)
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pdf.add_page()
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# Title Layout (High-contrast Serif Display Style)
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pdf.set_y(40)
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pdf.set_text_color(*COLOR_NAVY)
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pdf.set_font("Times", "", 28) # Georgia alternative
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pdf.multi_cell(180, 12, title)
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# Accent Divider Line
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pdf.set_draw_color(*COLOR_BORDER)
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pdf.line(15, pdf.get_y() + 5, 80, pdf.get_y() + 5)
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# Brief Informational Summary
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pdf.set_y(pdf.get_y() + 15)
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pdf.set_text_color(*COLOR_CHARCOAL)
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pdf.set_font("Helvetica", "", 11) # Sans-serif structural body text
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pdf.multi_cell(180, 7, desc)
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# Structured Grid for Key Highlights
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pdf.set_y(pdf.get_y() + 15)
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for idx, pt in enumerate(points, 1):
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pdf.set_draw_color(*COLOR_BORDER)
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pdf.set_fill_color(*COLOR_LINEN)
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# Structural thin-bordered card layouts
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pdf.rect(15, pdf.get_y(), 180, 18, 'DF')
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pdf.set_x(20)
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pdf.set_text_color(*COLOR_TERRACOTTA)
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pdf.set_font("Times", "I", 12)
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pdf.cell(10, 18, f"0{idx}")
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pdf.set_text_color(*COLOR_CHARCOAL)
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pdf.set_font("Helvetica", "", 10)
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pdf.cell(160, 18, pt)
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pdf.set_y(pdf.get_y() + 22)
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pdf_filename = "linkedin_insight_asset.pdf"
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pdf.output(pdf_filename)
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# -------------------------------------------------------------------------
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# 2. GENERATE LINKEDIN POST COPY
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# -------------------------------------------------------------------------
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post_copy = f"""💡 Weekly AI Architecture Breakdown
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Looking closely at modern workflows, complexity often hides in plain sight. Today we are looking at {title}.
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What it is:
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{desc}
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Key Architecture Considerations:
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• {points[0]}
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• {points[1]}
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• {points[2]}
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The complete visual documentation is attached below as an editorial carousel blueprint.
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Repository Link: {data['url']}
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#SoftwareArchitecture #DeveloperTools #TechInsights #CodeAndCanvas"""
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print("--- LINKEDIN POST DRAFT ---")
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print(post_copy)
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print("\n--- ASSET STATUS ---")
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print(f"Success: {pdf_filename} generated inside your directory following brand design guidelines.")
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if __name__ == "__main__":
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generate_assets()
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