3fec052c12
Organized the application into separate frontend and backend directories for cleaner deployment and better separation of concerns. Frontend Directory (frontend/): - index.html: Single-page web interface (renamed from web_ui.html) - README.md: Frontend deployment guide - Total size: ~113 KB (self-contained) - Smart base path detection (works at / or /ai_qc/) - No configuration changes required Backend Directory (backend/): - All Python files (api_server.py, llm_config.py, etc.) - visual_qc_apps/: 33 QC check modules - profiles/: 6 QC profile configurations - brand_guidelines/: Reference asset storage - config/: Environment configurations - scripts/: Deployment automation - uploads/, output/: Data directories - requirements.txt, ai_qc.service, apache_config.conf - Complete documentation New Documentation: - FOLDER_STRUCTURE.md: Comprehensive guide to new structure - frontend/README.md: Frontend deployment instructions - backend/BACKEND_README.md: Backend deployment guide Deployment Mapping: - frontend/ → /var/www/html/ai_qc/ (web root) - backend/ → /opt/ai_qc/ (application directory) Benefits: - Clear separation of concerns - Backend code not in web-accessible directory - Independent frontend/backend updates - Matches server's existing patterns (/opt/veo3, /opt/voice2text) - Industry-standard architecture - Easy to deploy and maintain Original files preserved in root directory for reference. Ready for production deployment following MIGRATION_GUIDE.md. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
52 lines
No EOL
2.2 KiB
Python
Executable file
52 lines
No EOL
2.2 KiB
Python
Executable file
import os
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import sys
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# Add parent directory to path to import shared modules
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sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
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from visual_qc_apps.flask_app_template import FlaskAppTemplate
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class LayerOrganizationApp(FlaskAppTemplate):
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"""
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Layer Organization Check
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"""
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def __init__(self):
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# Define the hardcoded prompt
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prompt = """You are performing a visual quality-control check on a digital design file. Your task is to analyze the image and determine if there are any visible indicators of poor layer organization.
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STEPS TO EVALUATE:
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1. Look for any artifacts or inconsistencies that might indicate poor layer organization:
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- Unexplained pixel artifacts where elements meet
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- Inconsistent shadows or lighting effects across similar elements
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- Elements that appear to be misaligned or awkwardly positioned
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- Visible selection boundaries or unfinished mask edges
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- Random white or transparent pixels at the edge of elements
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- Inconsistent spacing between similar elements
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2. Check for any visible layer panel or layer names in the design:
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- Generic layer names (Layer 1, Layer 2)
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- Unorganized or non-grouped layers
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- Missing layer organization structure
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3. Determine whether the visual presentation appears to have suffered from poor layer management
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YOUR OUTPUT:
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• State whether you could determine the layer organization status
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• If determinable, state whether the design "passes" (no visible layer organization issues) or "fails" (shows visible problems with layer management)
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• If you cannot determine the layer organization from the image alone, explain why
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• Include a JSON code block with these fields:
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{
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"layer_organization_determinable": true or false,
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"layer_organization_check": "Pass" or "Fail" or "Not applicable",
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"issues_detected": ["List specific issues if applicable, else an empty array"],
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"recommendations": ["List specific recommendations if applicable, else an empty array"]
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}"""
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# Initialize the Flask app with the prompt
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super().__init__(__name__, prompt)
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# Run the app if executed directly
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if __name__ == "__main__":
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app = LayerOrganizationApp()
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app.run(debug=True) |