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>
48 lines
No EOL
2.1 KiB
Python
Executable file
48 lines
No EOL
2.1 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 FileNamingApp(FlaskAppTemplate):
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"""
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File Naming 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 file to verify its naming convention. Your task is to determine whether the filename follows the required naming pattern.
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REQUIRED NAMING PATTERN:
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The filename should follow this convention: JobNumber_Brand_DeliverableType_Location_Publication_Spec_NumberOfDeliverables
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For example: 12345_CocaCola_Billboard_NYC_TimesSquare_8x10_1of3
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STEPS TO EVALUATE:
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1. Identify the filename from the image (look for any text showing filenames or system paths/locations).
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2. If no filename is visible in the image, state that "The filename could not be identified in the image."
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3. If a filename is visible, check if it follows the required naming pattern with underscores separating each section.
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4. Check for scaling information if applicable (e.g., AW_at_50pc) - note that percentages should be specified as "pc" not "%".
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5. Verify that all required parts are present (JobNumber, Brand, DeliverableType, Location, Publication, Spec, NumberOfDeliverables).
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YOUR OUTPUT:
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• State whether the filename was visible in the image.
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• If visible, state whether the filename "passes" or "fails" the naming convention check.
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• If it fails, provide specific recommendations for correcting the filename.
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• Include a JSON code block with these fields:
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{
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"filename_visible": true or false,
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"filename_detected": "the detected filename or 'Not visible'",
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"naming_convention_check": "Pass" or "Fail" or "Not applicable",
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"recommendations": ["List of 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 = FileNamingApp()
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app.run(debug=True) |