mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
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05adb91372
cc_9800_3504.py:COPYWRITE cc_module_9800_3504.py:COPYWRITE cc_module_test.py:COPYWRITE controller.py:COPYWRITE lf_tx_power.py:COPYWRITE py-scripts/lf_csv.py:COPYWRITE py-scripts/lf_graph.py:COPYWRITE py-scripts/lf_kpi_csv.py:COPYWRITE py-scripts/lf_pcap.py:COPYWRITE py-scripts/lf_report_test.py:COPYWRITE py-scripts/lf_snp_test.py:COPYWRITE Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>
82 lines
2.4 KiB
Python
Executable File
82 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python3
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'''
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NAME: lf_csv.py
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PURPOSE:
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Common Library for generating csv for LANforge output
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KPI - Key Performance Indicators
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SETUP:
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/lanforge/html-reports directory needs to be present or output generated in local file
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EXAMPLE:
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see: /py-scripts/lf_report_test.py for example
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COPYRIGHT:
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Copyright 2021 Candela Technologies Inc
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License: Free to distribute and modify. LANforge systems must be licensed.
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INCLUDE_IN_README
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'''
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import pandas as pd
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from pandas import *
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from csv import reader
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import csv
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class lf_csv:
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def __init__(self,
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_columns=['Stations', 'bk', 'be', 'vi', 'vo'],
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_rows=[['sta0001', 'sta0002', 'sta0003', 'sta0004', 'sta0005'],
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[1, 2, 3, 4, 5],
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[11, 22, 33, 44, 55],
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[6, 7, 8, 9, 10],
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[66, 77, 88, 99, 100]],
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_filename='test.csv'):
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self.rows = _rows
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self.columns = _columns
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self.filename = _filename
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def generate_csv(self):
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df = {}
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if self.rows != []:
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for i in range(len(self.columns)):
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df[self.columns[i]] = self.rows[i]
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else:
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for i in range(len(self.columns)):
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df[self.columns[i]] = []
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csv_df = pd.DataFrame(df)
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print(csv_df)
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csv_df.to_csv(self.filename, index=False, encoding='utf-8', na_rep='NA', float_format='%.2f')
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def read_csv(self, file_name, column=None):
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data = read_csv(str(file_name))
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value = data[str(column)].tolist()
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print("value of column", value)
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return value
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def read_csv_row(self, file_name):
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lst = []
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with open(str(file_name), 'r') as read_obj:
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# pass the file object to reader() to get the reader object
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csv_reader = reader(read_obj)
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# Iterate over each row in the csv using reader object
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for row in csv_reader:
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# row variable is a list that represents a row in csv
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print(row)
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lst .append(row)
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print("list", lst)
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return lst
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def open_csv_append(self, fields, name):
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# fields = ['first', 'second', 'third']
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with open(str(name), 'a') as f:
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writer = csv.writer(f)
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writer.writerow(fields)
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def main():
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test = lf_csv()
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test.generate_csv()
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if __name__ == "__main__":
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main()
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