Rename and fix script
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f5735fa2f1
commit
f668ceaf6a
2 changed files with 12 additions and 7 deletions
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@ -9,21 +9,20 @@ from pywatts.routines import *
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# get rid of TF debug message
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
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if len(sys.argv) != 3:
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print("Usage: python predict_for_json.py 24h|1h <file.json>")
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if len(sys.argv) != 2:
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print("Usage: python photovoltaic_gruppe1.py <file.json>")
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exit(1)
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type = sys.argv[1] # '1h' or '24h'
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json_file = sys.argv[2] # json file
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json_file = sys.argv[1] # json file
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queries = input_queries(json_file)
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oneH, queries = input_queries(json_file)
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feature_col = [tf.feature_column.numeric_column(str(idx)) for idx in range(336)]
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n = pywatts.neural.Net(feature_cols=feature_col)
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predictions = []
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for query in queries:
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if type == '1h':
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if oneH:
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predictions.extend(predict(n, query).astype('Float64').tolist())
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else:
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predictions.append(predict24h(n, query))
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@ -39,6 +39,12 @@ def input_query(json_str, idx=0):
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def input_queries(json_str):
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tmp_df = pandas.read_json(json_str)
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oneH = False
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try:
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s = tmp_df['max_temp'][0]
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except KeyError:
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oneH = True
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queries = []
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for i in range(len(tmp_df)):
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queries.append(pandas.DataFrame.from_dict(
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@ -46,7 +52,7 @@ def input_queries(json_str):
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'temp': tmp_df['temp'][i],
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'wind': tmp_df['wind'][i]}
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))
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return queries
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return oneH, queries
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def input_result(json_str, idx=0):
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