✨ 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>
41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
"""
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Linux BenchTools - Benchmark Model
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"""
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from sqlalchemy import Column, Integer, Float, DateTime, String, Text, ForeignKey
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from sqlalchemy.orm import relationship
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from datetime import datetime
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from app.db.base import Base
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class Benchmark(Base):
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"""
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Benchmark run results
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"""
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__tablename__ = "benchmarks"
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id = Column(Integer, primary_key=True, index=True, autoincrement=True)
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device_id = Column(Integer, ForeignKey("devices.id"), nullable=False, index=True)
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hardware_snapshot_id = Column(Integer, ForeignKey("hardware_snapshots.id"), nullable=False)
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run_at = Column(DateTime, nullable=False, default=datetime.utcnow, index=True)
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bench_script_version = Column(String(50), nullable=False)
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# Scores
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global_score = Column(Float, nullable=False)
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cpu_score = Column(Float, nullable=True)
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memory_score = Column(Float, nullable=True)
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disk_score = Column(Float, nullable=True)
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network_score = Column(Float, nullable=True)
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gpu_score = Column(Float, nullable=True)
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# Details
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details_json = Column(Text, nullable=False) # JSON object with all raw results
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notes = Column(Text, nullable=True)
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# Relationships
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device = relationship("Device", back_populates="benchmarks")
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hardware_snapshot = relationship("HardwareSnapshot", back_populates="benchmarks")
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def __repr__(self):
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return f"<Benchmark(id={self.id}, device_id={self.device_id}, global_score={self.global_score}, run_at='{self.run_at}')>"
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