feat: Complete MVP implementation of Linux BenchTools

✨ 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>

backend/app/schemas/benchmark.py

@@ -0,0 +1,109 @@
+"""
+Linux BenchTools - Benchmark Schemas
+"""
+
+from pydantic import BaseModel, Field
+from typing import Optional
+from app.schemas.hardware import HardwareData
+
+
+class CPUResults(BaseModel):
+    """CPU benchmark results"""
+    events_per_sec: Optional[float] = None
+    duration_s: Optional[float] = None
+    score: Optional[float] = None
+
+
+class MemoryResults(BaseModel):
+    """Memory benchmark results"""
+    throughput_mib_s: Optional[float] = None
+    score: Optional[float] = None
+
+
+class DiskResults(BaseModel):
+    """Disk benchmark results"""
+    read_mb_s: Optional[float] = None
+    write_mb_s: Optional[float] = None
+    iops_read: Optional[int] = None
+    iops_write: Optional[int] = None
+    latency_ms: Optional[float] = None
+    score: Optional[float] = None
+
+
+class NetworkResults(BaseModel):
+    """Network benchmark results"""
+    upload_mbps: Optional[float] = None
+    download_mbps: Optional[float] = None
+    ping_ms: Optional[float] = None
+    jitter_ms: Optional[float] = None
+    packet_loss_percent: Optional[float] = None
+    score: Optional[float] = None
+
+
+class GPUResults(BaseModel):
+    """GPU benchmark results"""
+    glmark2_score: Optional[int] = None
+    score: Optional[float] = None
+
+
+class BenchmarkResults(BaseModel):
+    """Complete benchmark results"""
+    cpu: Optional[CPUResults] = None
+    memory: Optional[MemoryResults] = None
+    disk: Optional[DiskResults] = None
+    network: Optional[NetworkResults] = None
+    gpu: Optional[GPUResults] = None
+    global_score: float = Field(..., ge=0, le=100, description="Global score (0-100)")
+
+
+class BenchmarkPayload(BaseModel):
+    """Complete benchmark payload from client script"""
+    device_identifier: str = Field(..., min_length=1, max_length=255)
+    bench_script_version: str = Field(..., min_length=1, max_length=50)
+    hardware: HardwareData
+    results: BenchmarkResults
+
+
+class BenchmarkResponse(BaseModel):
+    """Response after successful benchmark submission"""
+    status: str = "ok"
+    device_id: int
+    benchmark_id: int
+    message: Optional[str] = None
+
+
+class BenchmarkDetail(BaseModel):
+    """Detailed benchmark information"""
+    id: int
+    device_id: int
+    hardware_snapshot_id: int
+    run_at: str
+    bench_script_version: str
+
+    global_score: float
+    cpu_score: Optional[float] = None
+    memory_score: Optional[float] = None
+    disk_score: Optional[float] = None
+    network_score: Optional[float] = None
+    gpu_score: Optional[float] = None
+
+    details: dict  # details_json parsed
+
+    class Config:
+        from_attributes = True
+
+
+class BenchmarkSummary(BaseModel):
+    """Summary benchmark information for lists"""
+    id: int
+    run_at: str
+    global_score: float
+    cpu_score: Optional[float] = None
+    memory_score: Optional[float] = None
+    disk_score: Optional[float] = None
+    network_score: Optional[float] = None
+    gpu_score: Optional[float] = None
+    bench_script_version: Optional[str] = None
+
+    class Config:
+        from_attributes = True