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https://github.com/Telecominfraproject/oopt-gnpy.git
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b22a7a0234
update the advanced json model generator Signed-off-by: Jean-Luc Auge <jeanluc.auge@orange.com>
87 lines
2.8 KiB
Python
87 lines
2.8 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Created on Tue Jan 30 12:32:00 2018
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@author: jeanluc-auge
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update an existing json file with all the 96ch txt files for a given amplifier type
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amplifier type 'OA_type1' is hard coded but can be modified and other types added
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returns an updated amplifier json file: output_json_file_name = 'edfa_config.json'
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"""
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import re
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import sys
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import json
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import numpy as np
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from gnpy.core.utils import lin2db, db2lin
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"""amplifier file names
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convert a set of amplifier files + input json definiton file into a valid edfa_json_file:
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nf_fit_coeff: NF 3rd order polynomial coefficients txt file
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nf = f(dg)
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with dg = gain_operational - gain_max
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nf_ripple: NF ripple excursion txt file
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gain_ripple: gain ripple txt file
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dgt: dynamic gain txt file
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input json file in argument (defult = 'OA.json')
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the json input file should have the following fields:
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{
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"nf_fit_coeff": "nf_filename.txt",
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"nf_ripple": "nf_ripple_filename.txt",
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"gain_ripple": "DFG_filename.txt",
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"dgt": "DGT_filename.txt",
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}
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"""
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input_json_file_name = "OA.json" #default path
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output_json_file_name = "default_edfa_config.json"
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gain_ripple_field = "gain_ripple"
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nf_ripple_field = "nf_ripple"
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nf_fit_coeff = "nf_fit_coeff"
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def read_file(field, file_name):
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"""read and format the 96 channels txt files describing the amplifier NF and ripple
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convert dfg into gain ripple by removing the mean component
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"""
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#with open(path + file_name,'r') as this_file:
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# data = this_file.read()
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#data.strip()
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#data = re.sub(r"([0-9])([ ]{1,3})([0-9-+])",r"\1,\3",data)
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#data = list(data.split(","))
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#data = [float(x) for x in data]
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data = np.loadtxt(file_name)
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print(len(data), file_name)
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if field == gain_ripple_field or field == nf_ripple_field:
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#consider ripple excursion only to avoid redundant information
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#because the max flat_gain is already given by the 'gain_flat' field in json
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#remove the mean component
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print(file_name, ', mean value =', data.mean(), ' is substracted')
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data = data - data.mean()
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data = data.tolist()
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return data
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def input_json(path):
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"""read the json input file and add all the 96 channels txt files
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create the output json file with output_json_file_name"""
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with open(path,'r') as edfa_json_file:
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amp_text = edfa_json_file.read()
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amp_dict = json.loads(amp_text)
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for k, v in amp_dict.items():
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if re.search(r'.txt$',str(v)) :
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amp_dict[k] = read_file(k, v)
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amp_text = json.dumps(amp_dict, indent=4)
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#print(amp_text)
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with open(output_json_file_name,'w') as edfa_json_file:
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edfa_json_file.write(amp_text)
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if __name__ == '__main__':
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if len(sys.argv) == 2:
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path = sys.argv[1]
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else:
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path = input_json_file_name
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input_json(path) |