Files
serv_benchmark/backend/app/utils/scoring.py
Gilles Soulier c67befc549 addon
2026-01-05 16:08:01 +01:00

162 lines
4.1 KiB
Python
Executable File

"""
Linux BenchTools - Scoring Utilities
Raw benchmark scoring (no normalization):
- CPU: events_per_second (raw)
- Memory: throughput_mib_s (raw)
- Disk: read_mb_s + write_mb_s (raw)
- Network: upload_mbps + download_mbps (raw)
- GPU: glmark2_score (raw)
"""
from app.core.config import settings
def calculate_cpu_score(events_per_second: float = None) -> float:
"""
Calculate CPU score from sysbench events per second.
Formula: events_per_second (raw value)
No normalization applied.
Example: 3409.87 events/s → 3409.87 score
"""
if events_per_second is None or events_per_second <= 0:
return 0.0
return max(0.0, events_per_second)
def calculate_memory_score(throughput_mib_s: float = None) -> float:
"""
Calculate Memory score from sysbench throughput.
Formula: throughput_mib_s (raw value)
No normalization applied.
Example: 13806.03 MiB/s → 13806.03 score
"""
if throughput_mib_s is None or throughput_mib_s <= 0:
return 0.0
return max(0.0, throughput_mib_s)
def calculate_disk_score(read_mb_s: float = None, write_mb_s: float = None) -> float:
"""
Calculate Disk score from fio read/write bandwidth.
Formula: read_mb_s + write_mb_s (raw value)
No normalization applied.
Example: (695 + 695) MB/s → 1390 score
"""
if read_mb_s is None and write_mb_s is None:
return 0.0
read = read_mb_s if read_mb_s is not None and read_mb_s > 0 else 0.0
write = write_mb_s if write_mb_s is not None and write_mb_s > 0 else 0.0
return max(0.0, read + write)
def calculate_network_score(upload_mbps: float = None, download_mbps: float = None) -> float:
"""
Calculate Network score from iperf3 upload/download speeds.
Formula: upload_mbps + download_mbps (raw value)
No normalization applied.
Example: (484.67 + 390.13) Mbps → 874.8 score
"""
if upload_mbps is None and download_mbps is None:
return 0.0
upload = upload_mbps if upload_mbps is not None and upload_mbps > 0 else 0.0
download = download_mbps if download_mbps is not None and download_mbps > 0 else 0.0
return max(0.0, upload + download)
def calculate_gpu_score(glmark2_score: int = None) -> float:
"""
Calculate GPU score from glmark2 benchmark.
Formula: glmark2_score (raw value)
No normalization applied.
Example: 2500 glmark2 → 2500 score
"""
if glmark2_score is None or glmark2_score <= 0:
return 0.0
return max(0.0, float(glmark2_score))
def calculate_global_score(
cpu_score: float = None,
memory_score: float = None,
disk_score: float = None,
network_score: float = None,
gpu_score: float = None
) -> float:
"""
Calculate global score from component scores using configured weights.
Returns:
float: Global score (0-100)
"""
scores = []
weights = []
if cpu_score is not None:
scores.append(cpu_score)
weights.append(settings.SCORE_WEIGHT_CPU)
if memory_score is not None:
scores.append(memory_score)
weights.append(settings.SCORE_WEIGHT_MEMORY)
if disk_score is not None:
scores.append(disk_score)
weights.append(settings.SCORE_WEIGHT_DISK)
if network_score is not None:
scores.append(network_score)
weights.append(settings.SCORE_WEIGHT_NETWORK)
if gpu_score is not None:
scores.append(gpu_score)
weights.append(settings.SCORE_WEIGHT_GPU)
if not scores:
return 0.0
# Normalize weights if not all components are present
total_weight = sum(weights)
if total_weight == 0:
return 0.0
# Calculate weighted average
weighted_sum = sum(score * weight for score, weight in zip(scores, weights))
global_score = weighted_sum / total_weight
# Ensure non-negative
return max(0.0, global_score)
def validate_score(score: float) -> bool:
"""
Validate that a score is within acceptable range.
Args:
score: Score value to validate
Returns:
bool: True if score is valid (>= 0 or None)
"""
if score is None:
return True
return score >= 0.0