44 lines
1.7 KiB
Python
Executable File
44 lines
1.7 KiB
Python
Executable File
"""
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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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cpu_score_single = Column(Float, nullable=True) # Monocore CPU score
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cpu_score_multi = Column(Float, nullable=True) # Multicore CPU score
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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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network_results_json = Column(Text, nullable=True) # Network benchmark details (iperf3)
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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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