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import os
import csv
import json
import datasets
EXPERIMENTS = {
"test1": "05-19-35",
"test2": "06-38-03",
"test3": "15-12-05",
"test4": "10-49-18",
"test5": "11-04-24",
}
FILETYPES = [
"output",
"cpu_monitor",
"cpustat_monitor",
"irq_monitor",
"softirq_monitor",
"meminfo_monitor",
"sysinfo",
]
class MonitoringConfig(datasets.BuilderConfig):
def __init__(self, filetype, **kwargs):
super().__init__(version=datasets.Version("1.0.0"), **kwargs)
self.filetype = filetype
class MonitoringDataset(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
MonitoringConfig(
name=filetype,
filetype=filetype,
description=f"{filetype} across all experiments"
)
for filetype in FILETYPES
]
def _info(self):
filetype = self.config.filetype
# JSON sysinfo
if filetype == "sysinfo":
return datasets.DatasetInfo(
features=datasets.Features({"json": datasets.Value("string")})
)
# For optional output.csv, detect header only if a sample exists
for folder in EXPERIMENTS.values():
path = os.path.join(folder, f"{filetype}.csv")
if os.path.exists(path):
with open(path, "r") as f:
header = next(csv.reader(f))
return datasets.DatasetInfo(
features=datasets.Features({col: datasets.Value("string") for col in header})
)
# No experiment contains this filetype → return empty schema
return datasets.DatasetInfo(
features=datasets.Features({})
)
def _split_generators(self, dl_manager):
return [
datasets.SplitGenerator(
name=exp_name,
gen_kwargs={"folder": folder, "filetype": self.config.filetype}
)
for exp_name, folder in EXPERIMENTS.items()
]
def _generate_examples(self, folder, filetype):
# JSON
if filetype == "sysinfo":
json_path = os.path.join(folder, "sysinfo.json")
if not os.path.exists(json_path):
return
with open(json_path, "r") as f:
data = json.load(f)
yield 0, {"json": json.dumps(data)}
return
path = os.path.join(folder, f"{filetype}.csv")
if not os.path.exists(path):
return # gracefully skip this experiment
with open(path, "r") as f:
reader = csv.DictReader(f)
for idx, row in enumerate(reader):
yield idx, row
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