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@ -11,7 +11,6 @@ from numpy import random |
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class TrajectoryGenerator(object): |
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class TrajectoryGenerator(object): |
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def __init__(self, importer: AbstractImporter): |
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def __init__(self, importer: AbstractImporter): |
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self._importer = importer |
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self._importer = importer |
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self._importer.import_data(0) |
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self._vnames = self._importer._df_variables.iloc[:, 0].to_list() |
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self._vnames = self._importer._df_variables.iloc[:, 0].to_list() |
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@ -19,6 +18,8 @@ class TrajectoryGenerator(object): |
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for v in self._vnames: |
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for v in self._vnames: |
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self._parents[v] = self._importer._df_structure.where(self._importer._df_structure["To"] == v).dropna()["From"].tolist() |
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self._parents[v] = self._importer._df_structure.where(self._importer._df_structure["To"] == v).dropna()["From"].tolist() |
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print(self._parents) |
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self._cims = {} |
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self._cims = {} |
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sampled_cims = self._importer._raw_data[0]["dyn.cims"] |
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sampled_cims = self._importer._raw_data[0]["dyn.cims"] |
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for v in sampled_cims.keys(): |
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for v in sampled_cims.keys(): |
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@ -92,6 +93,9 @@ class TrajectoryGenerator(object): |
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# undefine variable time |
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# undefine variable time |
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time[next] = np.NaN |
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time[next] = np.NaN |
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for i, v in enumerate(self._parents): |
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if self._vnames[next] in self._parents[v]: |
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time[i] = np.NaN |
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def to_json(self): |
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def to_json(self): |
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return json.loads(self._generated_trajectory.to_json(orient="records")) |
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return json.loads(self._generated_trajectory.to_json(orient="records")) |