pyFroniusReg/tools/create_from_spreadsheet.py

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#!/usr/bin/env python3
"""
This is meant to take the fronius provided spreadsheet and munge it into
a list of FroniusRegisters and ScaledFroniusRegisters
"""
import pandas
import argparse
from pathlib import Path
def main():
parser = argparse.ArgumentParser(
prog="create_from_spreadsheet",
description="Generate python registers from the given spreadsheet")
parser.add_argument('filename')
parser.add_argument('-o', '--output')
args = parser.parse_args()
input_file = Path(args.filename)
if args.output is None:
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output_file = Path("./" + input_file.stem.lower() + ".py")
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else:
output_file = Path(args.output)
input_df = pandas.read_excel(open(input_file, 'rb'), header=0, skiprows=2)
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# Coerce 'Start' strings to ints so we can sort
input_df = input_df[input_df["Start"].apply(lambda x: isinstance(x, (int)))]
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# sort on Start register
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input_df = input_df.sort_values(["Start"])
with open(output_file, 'w') as f:
f.write("from pyfroniusreg import froniusreg\n\n")
# Output the direct registers
for index, row in input_df.iterrows():
if row["Type"] == "string":
data_type = f'string{row["Size"]}'
else:
data_type = row["Type"]
# TODO: determine proper way of defining the modbus unit
modbus_unit = 1
f.write('%s = froniusreg.FroniusReg(%d, froniusreg.%s, %d, """%s""")\n' %
(row["Name"].replace('/', '_'),
row["Start"],
data_type,
modbus_unit,
row["Description"]))
# output the scaled registers
for index, row in input_df.iterrows():
if not pandas.isna(row["Scale Factor"]):
f.write("scaled%s = froniusreg.ScaledFroniusReg(%s, %s)\n" %
( row["Name"].replace('/', '_'),
row["Name"].replace('/', '_'),
row["Scale Factor"]))
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if __name__ == '__main__':
main()