✨ Features: - Backend FastAPI complete (25 Python files) - 5 SQLAlchemy models (Device, HardwareSnapshot, Benchmark, Link, Document) - Pydantic schemas for validation - 4 API routers (benchmark, devices, links, docs) - Authentication with Bearer token - Automatic score calculation - File upload support - Frontend web interface (13 files) - 4 HTML pages (Dashboard, Devices, Device Detail, Settings) - 7 JavaScript modules - Monokai dark theme CSS - Responsive design - Complete CRUD operations - Client benchmark script (500+ lines Bash) - Hardware auto-detection - CPU, RAM, Disk, Network benchmarks - JSON payload generation - Robust error handling - Docker deployment - Optimized Dockerfile - docker-compose with 2 services - Persistent volumes - Environment variables - Documentation & Installation - Automated install.sh script - README, QUICKSTART, DEPLOYMENT guides - Complete API documentation - Project structure documentation 📊 Stats: - ~60 files created - ~5000 lines of code - Full MVP feature set implemented 🚀 Ready for production deployment! 🤖 Generated with Claude Code Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
26 lines
450 B
Python
26 lines
450 B
Python
"""
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Linux BenchTools - Document Schemas
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"""
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from pydantic import BaseModel
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from typing import List
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class DocumentResponse(BaseModel):
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"""Document response"""
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id: int
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device_id: int
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doc_type: str
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filename: str
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mime_type: str
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size_bytes: int
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uploaded_at: str
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class Config:
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from_attributes = True
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class DocumentListResponse(BaseModel):
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"""List of documents"""
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items: List[DocumentResponse] = []
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