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chore: unit test different power models and get results #493

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21 changes: 11 additions & 10 deletions tests/estimator_power_request_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,17 +5,17 @@
from kepler_model.util.train_types import (
CATEGORICAL_LABEL_TO_VOCAB,
SYSTEM_FEATURES,
WORKLOAD_FEATURES,
BPF_FEATURES,
ModelOutputType,
)
from tests.extractor_test import test_energy_source

trainer_names = ["SGDRegressorTrainer"]
trainer_names = ["SGDRegressorTrainer_0", "LogarithmicRegressionTrainer_0.json"]
test_energy_sources = ["acpi", "rapl-sysfs"]


def generate_request(
train_name, n=1, metrics=WORKLOAD_FEATURES, system_features=SYSTEM_FEATURES, output_type=ModelOutputType.DynPower.name, energy_source=test_energy_source
train_name, n=1, metrics=BPF_FEATURES, system_features=SYSTEM_FEATURES, output_type=ModelOutputType.AbsPower.name, energy_source=test_energy_source
):
request_json = dict()
if train_name is not None:
Expand All @@ -25,19 +25,20 @@ def generate_request(
request_json["system_values"] = []
for m in system_features:
request_json["system_values"] += [CATEGORICAL_LABEL_TO_VOCAB[m][0]]
request_json["values"] = [[1.0] * len(metrics)] * n
request_json["values"] = [[1000.0] * len(metrics)] * n
request_json["output_type"] = output_type
request_json["source"] = energy_source
return request_json


def process(client, energy_source):
request_json = generate_request(trainer_names[0], 2, output_type="AbsPower", energy_source=energy_source)
res = client.make_request(request_json)
res_json = json.loads(res)
print(res_json)
assert res_json["msg"] == "", "response error: {}".format(res_json["msg"])
assert len(res_json["powers"]) > 0, "zero powers"
for trainer_name in trainer_names:
request_json = generate_request(trainer_name, 2, output_type="AbsPower", energy_source=energy_source)
res = client.make_request(request_json)
res_json = json.loads(res)
print(res_json)
assert res_json["msg"] == "", "response error: {}".format(res_json["msg"])
assert len(res_json["powers"]) > 0, "zero powers"


class Client:
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