From 4f763f85e9f572b56e3465ccd47641c71cdb8bbf Mon Sep 17 00:00:00 2001
From: Daniel Friesel <daniel.friesel@uos.de>
Date: Mon, 8 Mar 2021 14:20:42 +0100
Subject: add dataref export
---
lib/loader.py | 10 ++++++++++
lib/model.py | 42 ++++++++++++++++++++++++++++++++++++++++++
lib/parameters.py | 4 ++++
3 files changed, 56 insertions(+)
(limited to 'lib')
diff --git a/lib/loader.py b/lib/loader.py
index c0aa105..f5c6306 100644
--- a/lib/loader.py
+++ b/lib/loader.py
@@ -372,6 +372,16 @@ class RawData:
}
json.dump(cache_data, f)
+ def to_dref(self) -> dict:
+ return {
+ "raw measurements/valid": self.preprocessing_stats["num_valid"],
+ "raw measurements/total": self.preprocessing_stats["num_runs"],
+ "static state duration/mean": (
+ np.mean(list(map(lambda x: x["state_duration"], self.setup_by_fileno))),
+ r"\milli\second",
+ ),
+ }
+
def _state_is_too_short(self, online, offline, state_duration, next_transition):
# We cannot control when an interrupt causes a state to be left
if next_transition["plan"]["level"] == "epilogue":
diff --git a/lib/model.py b/lib/model.py
index 527a19e..85cda71 100644
--- a/lib/model.py
+++ b/lib/model.py
@@ -311,6 +311,48 @@ class AnalyticModel:
return {"by_name": detailed_results}
+ def to_dref(self, static_quality, lut_quality, model_quality) -> dict:
+ ret = dict()
+ for name in self.names:
+ for attr_name, attr in self.attr_by_name[name].items():
+ e_static = static_quality["by_name"][name][attr_name]
+ e_lut = lut_quality["by_name"][name][attr_name]
+ e_model = model_quality["by_name"][name][attr_name]
+ unit = None
+ if "power" in attr.attr:
+ unit = r"\micro\watt"
+ elif "energy" in attr.attr:
+ unit = r"\pico\joule"
+ elif attr.attr == "duration":
+ unit = r"\micro\second"
+ for k, v in attr.to_dref(unit).items():
+ ret[f"data/{name}/{attr_name}/{k}"] = v
+ ret[f"error/static/{name}/{attr_name}/mae"] = (e_static["mae"], unit)
+ ret[f"error/lut/{name}/{attr_name}/mae"] = (e_lut["mae"], unit)
+ ret[f"error/model/{name}/{attr_name}/mae"] = (e_model["mae"], unit)
+ ret[f"error/static/{name}/{attr_name}/smape"] = (
+ e_static["smape"],
+ r"\percent",
+ )
+ ret[f"error/lut/{name}/{attr_name}/smape"] = (
+ e_lut["smape"],
+ r"\percent",
+ )
+ ret[f"error/model/{name}/{attr_name}/smape"] = (
+ e_model["smape"],
+ r"\percent",
+ )
+ ret[f"error/static/{name}/{attr_name}/mape"] = (
+ e_static["mape"],
+ r"\percent",
+ )
+ ret[f"error/lut/{name}/{attr_name}/mape"] = (e_lut["mape"], r"\percent")
+ ret[f"error/model/{name}/{attr_name}/mape"] = (
+ e_model["mape"],
+ r"\percent",
+ )
+ return ret
+
def to_json(self) -> dict:
"""
Return JSON encoding of this AnalyticModel.
diff --git a/lib/parameters.py b/lib/parameters.py
index 5fd44c3..ac67c2a 100644
--- a/lib/parameters.py
+++ b/lib/parameters.py
@@ -616,6 +616,10 @@ class ModelAttribute:
}
return ret
+ def to_dref(self, unit=None):
+ ret = {"mean": (self.mean, unit), "median": (self.median, unit)}
+ return ret
+
@staticmethod
def from_json(cls, name, attr, data):
param_names = data["paramNames"]
--
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