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-rw-r--r--lib/model.py30
1 files changed, 25 insertions, 5 deletions
diff --git a/lib/model.py b/lib/model.py
index dbe05aa..4d1edd5 100644
--- a/lib/model.py
+++ b/lib/model.py
@@ -104,7 +104,7 @@ class AnalyticModel:
- attributes: list of keys that should be analyzed,
e.g. ['power', 'duration']
- for each attribute mentioned in 'attributes': A list with measurements.
- All list except for 'attributes' must have the same length.
+ All lists except for 'attributes' must have the same length.
For example:
parameters = ['foo_count', 'irrelevant']
@@ -669,7 +669,14 @@ class AnalyticModel:
ret[f"xv/{name}/{attr_name}/{k}"] = np.mean(entry[k])
return ret
- def to_json(self, with_by_param=False, **kwargs) -> dict:
+ def to_json(
+ self,
+ with_by_param=False,
+ lut_error=None,
+ static_error=None,
+ model_error=None,
+ **kwargs,
+ ) -> dict:
"""
Return JSON encoding of this AnalyticModel.
"""
@@ -688,11 +695,24 @@ class AnalyticModel:
for name in self.names:
for attr_name, attr in self.attr_by_name[name].items():
ret["name"][name][attr_name] = attr.to_json(**kwargs)
+ if lut_error:
+ ret["name"][name][attr_name]["lutError"] = lut_error[name][
+ attr_name
+ ]
+ if static_error:
+ ret["name"][name][attr_name]["staticError"] = static_error[name][
+ attr_name
+ ]
+ if model_error:
+ ret["name"][name][attr_name]["modelError"] = model_error[name][
+ attr_name
+ ]
attr_name = list(self.attributes(name))[0]
for param_name in self.parameters:
- ret["paramValuesbyName"][name][param_name] = self.attr_by_name[name][
- attr_name
- ].stats.distinct_values_by_param_name[param_name]
+ if self.attr_by_name[name][attr_name].stats is not None:
+ ret["paramValuesbyName"][name][param_name] = self.attr_by_name[
+ name
+ ][attr_name].stats.distinct_values_by_param_name[param_name]
return ret