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Copilot AI commented Feb 4, 2026

Social Preview Image Creation

Create a social preview image for the PrivaseeAI.Security repository, similar to the architectural diagram style used in the CloudHealthOffice repo.

Completed:

  • Understand the repository structure and project overview
  • Create architectural diagram social preview image (1280x640 PNG)
  • Save the image to the repository (.github/assets/social-preview.png)
  • Create generation script (scripts/generate_social_preview.py)
  • Create setup documentation (.github/SOCIAL_PREVIEW_SETUP.md)
  • Update README.md with reference to setup documentation
  • Verify the image meets GitHub requirements (49KB, 1280x640, PNG)
  • Run security checks (CodeQL - no issues found)
  • Code review completed and all feedback addressed
  • Address initial code review comments:
    • Improved cross-platform font support (Linux, macOS, Windows)
    • Extracted magic numbers as named constants
    • Added error handling for file save operations
    • Added Pillow to requirements-dev.txt
    • Added better import error handling
  • Address follow-up review comments:
    • Use sys.stderr for warnings/errors (consistency)
    • Exit with error code on save failure (proper error propagation)

Files Added:

  • .github/assets/social-preview.png - The social preview image (49KB, 1280x640 PNG)
  • .github/SOCIAL_PREVIEW_SETUP.md - Complete setup instructions
  • scripts/generate_social_preview.py - Script to regenerate the image

Files Modified:

  • README.md - Added reference to SOCIAL_PREVIEW_SETUP.md in Development section
  • requirements-dev.txt - Added Pillow>=10.0.0 for image generation

Code Quality Improvements:

  • Cross-platform font support: Script tries multiple font locations (Linux, macOS, Windows)
  • Named constants: All magic numbers extracted as descriptive constants
  • Error handling: Robust error handling with proper exit codes
  • Consistent error reporting: All errors/warnings use stderr
  • Better dependency management: Pillow in requirements-dev.txt with helpful import error

Next Steps (Manual - Requires Admin Access):

Repository administrator needs to upload the image to GitHub:

  1. Go to https://github.com/aurelianware/PrivaseeAI.Security/settings
  2. Scroll to "Social preview" section
  3. Click "Edit" → "Upload an image"
  4. Select .github/assets/social-preview.png
  5. Click "Save"

📖 For detailed instructions, see .github/SOCIAL_PREVIEW_SETUP.md

Original prompt

Can you help me create a social preview image for my repo privaseeAi.security. I was happy with theb architectural image created in my cloudhealthoffice relo amd wanted ti do something similar


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Copilot AI and others added 2 commits February 4, 2026 21:30
Co-authored-by: aurelianware <194855645+aurelianware@users.noreply.github.com>
Co-authored-by: aurelianware <194855645+aurelianware@users.noreply.github.com>
Copilot AI changed the title [WIP] Add social preview image for privaseeAi.security Add social preview image with architectural diagram Feb 4, 2026
Copilot AI requested a review from aurelianware February 4, 2026 21:33
@aurelianware aurelianware marked this pull request as ready for review February 5, 2026 03:50
Copilot AI review requested due to automatic review settings February 5, 2026 03:50
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github-actions bot commented Feb 5, 2026

Coverage report

This PR does not seem to contain any modification to coverable code.

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Pull request overview

This PR adds a social preview image for the repository to improve its appearance when shared on social media platforms. The implementation includes a Python script to generate the image programmatically, comprehensive documentation for setup and maintenance, and the generated PNG image itself.

Changes:

  • Added Python script to generate a 1280×640 social preview image with architectural diagram
  • Created setup documentation with upload instructions and troubleshooting guide
  • Updated README to reference the new documentation

Reviewed changes

Copilot reviewed 3 out of 4 changed files in this pull request and generated 4 comments.

File Description
scripts/generate_social_preview.py Python script using Pillow to generate architectural diagram image with GitHub dark theme styling
.github/SOCIAL_PREVIEW_SETUP.md Comprehensive guide for uploading and maintaining the social preview image
.github/assets/social-preview.png Generated 49KB PNG image (1280×640) showing system architecture
README.md Added reference to social preview setup documentation in Development section

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Comment on lines 56 to 59
title_font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 72)
subtitle_font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 32)
text_font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 24)
small_font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 20)
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The hardcoded font path /usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf is Linux-specific and will fail on macOS and Windows systems. While there is a fallback to default fonts, this limits cross-platform usability.

Consider implementing a more portable solution that checks multiple common font locations across different operating systems, or provide clearer documentation that the script is intended for Linux environments only. Alternatively, you could use the matplotlib font manager or bundle fonts with the script.

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Fixed in add338a. The script now checks multiple font paths across Linux, macOS, and Windows using a find_font() helper function. Font paths include DejaVu Sans (Linux), Arial (macOS), and Arial (Windows).

Comment on lines 70 to 146
draw.text((50, 40), title, fill=hex_to_rgb(PRIMARY_COLOR), font=title_font)

# Subtitle
subtitle = "Real-Time iOS Threat Detection & Monitoring"
draw.text((50, 130), subtitle, fill=hex_to_rgb(TEXT_COLOR), font=subtitle_font)

# Architecture diagram
y_offset = 200

# Top: CLI Interface
draw.rectangle([50, y_offset, 1230, y_offset + 60],
outline=hex_to_rgb(PRIMARY_COLOR), width=3)
draw.text((520, y_offset + 20), "CLI Interface",
fill=hex_to_rgb(PRIMARY_COLOR), font=text_font)

# Middle: Orchestrator
y_offset += 80
draw.rectangle([400, y_offset, 880, y_offset + 50],
outline=hex_to_rgb(SECONDARY_COLOR), width=3)
draw.text((520, y_offset + 15), "Threat Orchestrator",
fill=hex_to_rgb(SECONDARY_COLOR), font=text_font)

# Bottom: Monitors (4 boxes)
y_offset += 70
box_width = 250
box_height = 60
spacing = 50

monitors = [
("VPN\nIntegrity", PRIMARY_COLOR),
("API\nAbuse", PURPLE_COLOR),
("Carrier\nCompromise", ACCENT_COLOR),
("Backup\nMonitor", SECONDARY_COLOR)
]

x_start = 80
for i, (monitor, color) in enumerate(monitors):
x = x_start + i * (box_width + spacing)
draw.rectangle([x, y_offset, x + box_width, y_offset + box_height],
outline=hex_to_rgb(color), width=3)
lines = monitor.split('\n')
for j, line in enumerate(lines):
draw.text((x + 60, y_offset + 10 + j * 25), line,
fill=hex_to_rgb(color), font=small_font)

# Alert system at bottom
y_offset += 90
draw.rectangle([400, y_offset, 880, y_offset + 50],
outline=hex_to_rgb(ACCENT_COLOR), width=3)
draw.text((520, y_offset + 15), "Telegram Alerter",
fill=hex_to_rgb(ACCENT_COLOR), font=text_font)

# Add arrows/connections (simplified)
# Arrow from CLI to Orchestrator
draw.line([(640, 260), (640, 280)], fill=hex_to_rgb(TEXT_COLOR), width=2)

# Arrows from Orchestrator to monitors
orch_center_x = 640
orch_y = 330
monitor_y = 350

for i in range(4):
monitor_x = x_start + box_width // 2 + i * (box_width + spacing)
draw.line([(orch_center_x, orch_y), (monitor_x, monitor_y)],
fill=hex_to_rgb(TEXT_COLOR), width=2)

# Arrows from monitors to alerter
alert_y = 510
for i in range(4):
monitor_x = x_start + box_width // 2 + i * (box_width + spacing)
draw.line([(monitor_x, y_offset - 30), (640, alert_y)],
fill=hex_to_rgb(TEXT_COLOR), width=2)

# Footer with key features
y_offset = 580
features = "🛡️ Battle-Tested • 🔒 Privacy-First • ⚡ Real-Time • ✅ 196 Tests"
draw.text((180, y_offset), features, fill=hex_to_rgb(TEXT_COLOR), font=small_font)
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The script contains numerous magic numbers (coordinates, sizes, spacing values) that make it difficult to maintain and modify the layout. For example: 50, 40, 1230, 60, 80, 400, 880, 520, 15, 70, 250, 60, 50, 80, 640, 260, 280, etc.

Consider extracting these as named constants at the module level or within a configuration section, grouping them by purpose (e.g., MARGIN_LEFT, TITLE_Y, BOX_WIDTH, SPACING, etc.). This would improve code maintainability and make it easier to adjust the layout in the future.

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Fixed in add338a. Extracted all magic numbers as named constants at the module level, organized by purpose: MARGIN_LEFT, TITLE_Y, CLI_Y, ORCH_Y_SPACING, MONITOR_BOX_WIDTH, etc. This improves maintainability and makes layout adjustments easier.

Comment on lines 12 to 22
pip install Pillow

The generated image can be uploaded to GitHub as the repository's
social preview image (Settings > Social preview).
"""

import argparse
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont


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The script requires the Pillow library (imported as PIL), but Pillow is not listed in requirements.txt. This means users will encounter an ImportError when running the script unless they manually install Pillow.

Since this is a utility script for generating assets (not core functionality), consider either:

  1. Adding Pillow to requirements-dev.txt since it's a development/maintenance tool
  2. Adding a clear note in the script's docstring that Pillow must be installed separately
  3. Adding proper dependency documentation in the README or SOCIAL_PREVIEW_SETUP.md

The script already mentions "pip install Pillow" in its docstring (line 12), but this could be more prominent or the dependency could be formalized in requirements-dev.txt.

Suggested change
pip install Pillow
The generated image can be uploaded to GitHub as the repository's
social preview image (Settings > Social preview).
"""
import argparse
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont
This is a development/maintenance utility and requires the Pillow
library (PIL), which is not installed by default.
Install with:
pip install Pillow
The generated image can be uploaded to GitHub as the repository's
social preview image (Settings > Social preview).
"""
import argparse
from pathlib import Path
import sys
try:
from PIL import Image, ImageDraw, ImageFont
except ImportError as exc:
sys.stderr.write(
"Error: The Pillow library (PIL) is required to run this script.\n"
"Install it with:\n"
" pip install Pillow\n"
)
raise SystemExit(1) from exc

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Fixed in add338a. Added Pillow>=10.0.0 to requirements-dev.txt and implemented proper import error handling with a helpful message directing users to install Pillow.

@aurelianware
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@copilot apply changes based on the comments in this thread

Copilot AI and others added 2 commits February 5, 2026 04:00
…or handling, extract constants, and add Pillow to dev dependencies

Co-authored-by: aurelianware <194855645+aurelianware@users.noreply.github.com>
…failure

Co-authored-by: aurelianware <194855645+aurelianware@users.noreply.github.com>
@aurelianware aurelianware merged commit 8a63475 into main Feb 5, 2026
8 checks passed
@aurelianware aurelianware deleted the copilot/create-social-preview-image branch February 5, 2026 04:26
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2 participants