Daniel Bedeleanu 26b38ea27c feat: enhance OCR matching with fuzzy logic and refined AI prompt ...

AI Prompt Improvements:
- Standardized Item name format: [size] type vendor connector part_number
- Clear examples: '5m Patchcord LC-LC', '256GB SSD Samsung SAS', '128GB DDR4 Hynix'
- OCR key format: uppercase, space-separated tokens, includes variations/abbreviations
- Excludes diameter/mm measurements from Item field
- Allows 'HP'/'HPE', 'DDR'/'DDR4', 'NVMe'/'NVME' variations in OCR keys

OCR Matching Logic:
- Implemented Levenshtein distance fuzzy matching (allows 1-2 char differences)
- Priority 0: Exact OCR key match (1000pts) + fuzzy match fallback (800pts)
- Priority 2: Part number exact (200pts) + fuzzy match (150pts)
- Priority 3: Token-based with fuzzy tolerance (50pts exact, 30pts fuzzy)
- Removes whitespace for comparison (e.g., 'LCLC' matches 'LC-LC')

Resolves OCR identification failures from minor text variations.

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ai

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routers

feat(admin): finalizing modular refactoring with testing suite and UI polish

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scripts

Build [v1.9.19]

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tests

feat(admin): finalizing modular refactoring with testing suite and UI polish

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__init__.py

feat(admin): finalizing modular refactoring with testing suite and UI polish

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ai_vision.py

modificari mari

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auth.py

Build [v1.4.1] - Security hardening, PWA and UI refinements

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check_models.py

Infrastructure: Implement master/dev/vX branching, save git path, and fix username casing

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config_loader.py

Build [v1.10.2]

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config_manager.py

modificari mari

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database.py

feat: complete dockerization architecture with data/logs persistence and prod export script v1.3.0

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db_manager.py

Build [v1.9.19]

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Dockerfile

Build [v1.10.0]

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entrypoint.sh

Build [v1.10.2]

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logger.py

Build [v1.10.2]

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main.py

feat: enhance OCR matching with fuzzy logic and refined AI prompt

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models.py

Build [v1.9.19]

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requirements.txt

feat(admin): finalizing modular refactoring with testing suite and UI polish

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scheduler.py

Build [v1.4.0] - Audit Dashboard & LDAP Restoration

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schemas.py

Build [v1.9.19]

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