66471934af
Knowledge base of ~80+ markdown files across 14 domains (00-13), Logseq graph, hardware design files (KiCAD), infrastructure configs, and talas-wiki static site. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
336 lines
13 KiB
Python
336 lines
13 KiB
Python
#!/usr/bin/env python3
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"""
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Generate PDF 2 (V2): Talas — Delivery Capacity Evidence
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For NGI Zero Commons Fund application (25K EUR, personal tone).
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No external images required — uses KiCAD screenshots and text metrics.
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Optionally add photos/veza_screenshot.png for a Veza platform screenshot.
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"""
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from fpdf import FPDF
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import os
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BASE = "/home/senke/Documents/TG__Talas_Group"
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PHOTOS = f"{BASE}/09_MODELE_ECONOMIQUE/Subventions/photos"
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OUT = f"{BASE}/09_MODELE_ECONOMIQUE/Subventions/talas-project-evidence-v2.pdf"
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FONT_DIR = "/usr/share/fonts/liberation-sans-fonts"
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class TalasPDF(FPDF):
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def __init__(self):
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super().__init__()
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self.add_font("Sans", "", f"{FONT_DIR}/LiberationSans-Regular.ttf")
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self.add_font("Sans", "B", f"{FONT_DIR}/LiberationSans-Bold.ttf")
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self.add_font("Sans", "I", f"{FONT_DIR}/LiberationSans-Italic.ttf")
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self.add_font("Sans", "BI", f"{FONT_DIR}/LiberationSans-BoldItalic.ttf")
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def header(self):
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self.set_font("Sans", "B", 9)
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self.set_text_color(100, 100, 100)
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self.cell(0, 5, "Talas — NGI Zero Commons Fund — Attachment 2: Delivery Evidence",
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align="R")
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self.ln(8)
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def footer(self):
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self.set_y(-15)
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self.set_font("Sans", "I", 8)
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self.set_text_color(150, 150, 150)
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self.cell(0, 10, f"Page {self.page_no()}/{{nb}}", align="C")
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def section_title(self, title):
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self.set_font("Sans", "B", 13)
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self.set_text_color(30, 30, 30)
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self.cell(0, 10, title, new_x="LMARGIN", new_y="NEXT")
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self.set_draw_color(60, 60, 60)
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self.line(self.l_margin, self.get_y(), self.w - self.r_margin, self.get_y())
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self.ln(4)
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def sub_title(self, title):
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self.set_font("Sans", "B", 11)
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self.set_text_color(50, 50, 50)
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self.cell(0, 8, title, new_x="LMARGIN", new_y="NEXT")
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self.ln(1)
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def body_text(self, text):
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self.set_font("Sans", "", 10)
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self.set_text_color(40, 40, 40)
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self.multi_cell(0, 5, text)
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self.ln(2)
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def personal_text(self, text):
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self.set_font("Sans", "I", 10)
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self.set_text_color(60, 60, 60)
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self.multi_cell(0, 5, text)
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self.ln(2)
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def metric_row(self, label, value, detail=""):
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self.set_font("Sans", "B", 10)
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self.set_text_color(40, 40, 40)
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self.cell(55, 6, label)
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self.set_font("Sans", "", 10)
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self.set_text_color(30, 100, 30)
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self.cell(50, 6, value)
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self.set_text_color(120, 120, 120)
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self.set_font("Sans", "I", 9)
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self.cell(0, 6, detail, new_x="LMARGIN", new_y="NEXT")
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def label_value(self, label, value):
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self.set_font("Sans", "B", 10)
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self.set_text_color(40, 40, 40)
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self.cell(55, 6, label)
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self.set_font("Sans", "", 10)
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self.cell(0, 6, value, new_x="LMARGIN", new_y="NEXT")
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def bullet(self, text, indent=10):
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self.set_font("Sans", "", 9)
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self.set_text_color(40, 40, 40)
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self.cell(indent, 5, "\u2022")
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self.multi_cell(self.w - self.r_margin - self.l_margin - indent, 5, text)
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self.ln(1)
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def try_image(self, path, max_w=170, max_h=100, caption=None):
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if not os.path.exists(path):
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return False
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from PIL import Image
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img = Image.open(path)
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w_px, h_px = img.size
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ratio = min(max_w / w_px, max_h / h_px)
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w_mm = w_px * ratio
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h_mm = h_px * ratio
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x = (self.w - w_mm) / 2
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if self.get_y() + h_mm + 15 > self.h - 20:
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self.add_page()
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self.image(path, x=x, w=w_mm)
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if caption:
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self.set_font("Sans", "I", 8)
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self.set_text_color(100, 100, 100)
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self.cell(0, 5, caption, align="C", new_x="LMARGIN", new_y="NEXT")
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self.ln(3)
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return True
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def main():
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pdf = TalasPDF()
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pdf.alias_nb_pages()
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pdf.set_auto_page_break(auto=True, margin=20)
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# =========================================================
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# PAGE 1 — Personal intro + Veza delivery proof
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# =========================================================
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pdf.add_page()
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pdf.set_font("Sans", "B", 20)
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pdf.set_text_color(20, 20, 20)
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pdf.cell(0, 12, "Talas — Why I Can Deliver", align="C",
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new_x="LMARGIN", new_y="NEXT")
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pdf.set_font("Sans", "", 11)
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pdf.set_text_color(80, 80, 80)
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pdf.cell(0, 7, "Evidence of delivery capacity — Nikola Milovanovic — March 2026",
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align="C", new_x="LMARGIN", new_y="NEXT")
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pdf.ln(4)
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pdf.personal_text(
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"This grant asks you to trust that I can transform an assembled prototype into "
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"a verified, measured, documented open commons. Here is the evidence that I "
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"finish what I start."
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)
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# --- Veza ---
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pdf.section_title("1. I Built Veza Solo — 38 Releases in 5 Months")
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pdf.personal_text(
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"Veza is a music platform I have been building on my own — Go + Rust + React, "
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"with streaming, real-time chat, e-commerce, and community features. "
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"It is currently proprietary and not related to this grant, but it shows "
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"that I can ship complex software from scratch. Every line of code is mine."
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)
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pdf.sub_title("What I Shipped")
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pdf.metric_row("Releases:", "38", "v0.1 through v1.0.2, over 5 months")
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pdf.metric_row("API endpoints:", "500+", "REST API (Go/Gin)")
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pdf.metric_row("Database:", "60+ tables", "115 SQL migrations (PostgreSQL)")
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pdf.metric_row("Frontend:", "661 components", "React 18, TypeScript, 52+ routes")
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pdf.metric_row("Languages:", "3", "English, French, Spanish")
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pdf.metric_row("Streaming:", "HLS adaptive", "Rust/Axum, FFmpeg transcoding")
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pdf.metric_row("Real-time:", "WebSocket", "Chat, notifications, co-listening")
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pdf.ln(2)
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# Veza repo screenshot
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pdf.try_image(
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f"{PHOTOS}/github_veza.png",
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max_w=170, max_h=85,
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caption="Veza private repository — 2,210 commits, 36 branches, 51 tags"
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)
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# Language breakdown
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pdf.try_image(
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f"{PHOTOS}/github_lang_prog_graph.png",
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max_w=100, max_h=40,
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caption="Codebase: TypeScript 38%, Go 30%, HTML 20%, Rust 6%"
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)
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# Activity heatmaps side by side
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pdf.try_image(
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f"{PHOTOS}/github_activity_2025.png",
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max_w=170, max_h=45,
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caption="3,415 contributions in 2025"
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)
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pdf.try_image(
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f"{PHOTOS}/github_activity_2026.png",
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max_w=170, max_h=45,
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caption="2,708 contributions in 2026 (January\u2013March only)"
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)
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# --- Security ---
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pdf.section_title("2. I Take Security Seriously")
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pdf.personal_text(
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"My academic background is cybersecurity (BSc EPITA, MSc OTERIA). "
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"I ran a thorough security audit of Veza using AI-assisted analysis "
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"(Claude, Anthropic) to systematically review every attack surface."
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)
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pdf.sub_title("Security Audit (AI-Assisted, October 2025)")
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pdf.metric_row("Findings:", "36", "identified through systematic review")
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pdf.metric_row("Remediated:", "36/36", "100% — zero open findings")
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pdf.metric_row("Critical/High:", "0", "remaining after remediation")
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pdf.ln(2)
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pdf.sub_title("Security Stack I Implemented")
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features = [
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"JWT RS256 authentication (asymmetric key rotation)",
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"WebAuthn / Passkeys (passwordless login)",
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"Two-factor authentication (TOTP + backup codes)",
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"OAuth 2.0 (Google, GitHub, Apple, Facebook)",
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"CSRF tokens (Redis-backed), rate limiting (3-tier)",
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"ClamAV antivirus on all uploads",
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"Coraza WAF with OWASP Core Rule Set",
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"GDPR: data export, account deletion, anonymization",
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]
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for f in features:
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pdf.bullet(f)
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pdf.ln(2)
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# =========================================================
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# PAGE 2 — Infrastructure + Investment + What grant funds
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# =========================================================
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pdf.section_title("3. I Built the Infrastructure Too")
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pdf.personal_text(
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"The entire stack runs on hardware I own. No AWS, no Cloudflare, no SaaS. "
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"Two refurbished Dell servers in my home, managed by Ansible playbooks I wrote. "
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"Monthly cost: 135 EUR in electricity — versus 800-1,500 EUR in cloud fees."
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)
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pdf.sub_title("Hardware I Own")
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pdf.metric_row("Servers:", "2x Dell R720", "rack-mounted, purchased used")
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pdf.metric_row("RAM:", "768 GB total", "384 GB per server")
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pdf.metric_row("CPU:", "64 cores total", "2x Xeon E5-2670 per server")
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pdf.metric_row("Network:", "10 GbE", "inter-server + 1 Gbps fiber")
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pdf.metric_row("Storage:", "16 HDDs per server", "ZFS mirror pools, ~100 spare HDDs in reserve")
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pdf.metric_row("Monthly cost:", "~135 EUR", "electricity only")
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pdf.ln(2)
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pdf.sub_title("Automation I Wrote")
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pdf.metric_row("Ansible:", "Full automation", "infrastructure-as-code")
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pdf.metric_row("Deployment:", "Blue-green", "zero-downtime via HAProxy")
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pdf.metric_row("Monitoring:", "Prometheus + Grafana", "metrics + dashboards")
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pdf.metric_row("Security:", "Coraza WAF", "OWASP rules, WireGuard VPN")
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pdf.metric_row("Backup:", "PostgreSQL PITR", "ZFS snapshots, WAL archiving")
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pdf.ln(4)
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# =========================================================
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# Personal investment
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# =========================================================
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pdf.section_title("4. What I Already Invested (~3,000 EUR)")
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pdf.personal_text(
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"Before writing this application, I spent approximately 3,000 EUR of my own "
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"money on equipment, components, and infrastructure. As a student working "
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"part-time, that is a significant personal investment."
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)
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investments = [
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("Measurement lab:", "Rigol oscilloscope, 2 audio interfaces, 2 reference mics, multimeter"),
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("Fabrication:", "Soldering station, stereo microscope, RoHS consumables"),
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("Components:", "OPA1642, TC4584BF, passives, PCB fabrication (PCBWay), capsules"),
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("Servers:", "2x Dell R720 (used), networking, drives"),
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("Software dev:", "5 months full-time on Veza (unpaid)"),
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]
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for label, value in investments:
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pdf.label_value(label, value)
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pdf.ln(4)
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# =========================================================
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# Open-core model
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# =========================================================
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pdf.section_title("5. What Stays Open Forever")
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pdf.body_text(
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"The hardware funded by this grant is published under CERN-OHL-W-2.0. "
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"This license is irrevocable — even I cannot close it. The commons exist "
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"permanently, regardless of what happens to the company."
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)
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pdf.set_font("Sans", "B", 9)
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pdf.set_fill_color(240, 240, 240)
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pdf.cell(55, 6, "Artifact", border=1, fill=True)
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pdf.cell(40, 6, "License", border=1, fill=True)
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pdf.cell(55, 6, "Status", border=1, fill=True, new_x="LMARGIN", new_y="NEXT")
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pdf.set_font("Sans", "", 9)
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licenses = [
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("Microphone schematics (KiCAD)", "CERN-OHL-W-2.0", "Designed, publication pending"),
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("PCB layouts + Gerber files", "CERN-OHL-W-2.0", "Designed, publication pending"),
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("Bill of Materials", "CERN-OHL-W-2.0", "Complete, maintained"),
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("Assembly guide", "CC BY-SA 4.0", "Grant Milestone 4"),
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("Calibration toolkit (Rust)", "AGPL v3", "Grant Milestone 3"),
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("Acoustic measurements", "CC BY-SA 4.0", "Grant Milestone 2"),
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("Veza platform", "Proprietary", "Revenue funds open HW"),
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]
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for comp, lic, status in licenses:
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pdf.cell(55, 5, comp, border=1)
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pdf.cell(40, 5, lic, border=1)
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pdf.cell(55, 5, status, border=1, new_x="LMARGIN", new_y="NEXT")
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pdf.ln(2)
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pdf.personal_text(
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"The model is simple: hardware knowledge is permanently open (commons). "
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"Assembled microphones and the Veza platform are commercial products whose "
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"revenue funds ongoing maintenance of the commons. This is the Arduino / Prusa "
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"model, adapted for audio."
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)
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# =========================================================
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# Summary
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# =========================================================
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pdf.section_title("6. Summary")
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pdf.body_text(
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"I am one person. I designed a microphone, built a music platform, set up "
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"the infrastructure, wrote the documentation, and invested my own money — "
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"all before asking for a single euro of funding."
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)
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pdf.body_text(
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"This grant (25,000 EUR) funds the final step: transforming an assembled prototype "
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"into a reproducible open-hardware commons with professional acoustic measurements "
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"and complete documentation. If someone builds this from my files and it "
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"doesn't work, I have failed."
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)
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# =========================================================
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# Output
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# =========================================================
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pdf.output(OUT)
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print(f"\nPDF generated: {OUT}")
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print(f"Pages: {pdf.pages_count}")
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# Check optional screenshot
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if not os.path.exists(f"{PHOTOS}/veza_screenshot.png"):
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print("\nOPTIONAL: Add photos/veza_screenshot.png for a Veza platform screenshot.")
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if __name__ == "__main__":
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main()
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