47 lines
1.1 KiB
Python
47 lines
1.1 KiB
Python
import os
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import sys
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import tensorflow as tf
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import pywatts.db
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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) != 2:
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print("Usage: python photovoltaic_gruppe4.py <file.json>")
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exit(1)
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json_file = sys.argv[1] # 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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total = len(queries)
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for idx, query in enumerate(queries):
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percent = idx / total
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sys.stdout.write("\r")
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progress = ""
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for i in range(20):
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if i < int(20 * percent):
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progress += "="
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else:
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progress += " "
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sys.stdout.write("[ %s ] %.2f%%" % (progress, percent * 100))
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sys.stdout.flush()
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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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print(predictions, file=open("test_data_gruppe4.json", "w"))
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sys.stdout.write("\r")
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print("[ ==================== ] 100.00%")
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