mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
synced 2025-11-04 04:38:02 +00:00
1d7578251c
- Import importlib, os, and sys to each python script.
- Append "lanforge-scripts" root directory to the system path, allowing each script to be called from an antecedent directory. e.g.
if 'lanforge-scripts' not in sys.path:
sys.path.append(os.path.join(os.path.abspath(__file__ + "../../../../../")))
- All statements of the form 'from <module> import <class>' replace with:
<module> = importlib.import_module("lanforge-scripts.<directory>.<module>")
<class> = <module>.<class>
81 lines
3.1 KiB
Python
81 lines
3.1 KiB
Python
#!/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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COPYWRITE
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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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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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for i in range(len(self.columns)):
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df[self.columns[i]] = self.rows[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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# this layout may need to change
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'''
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kpi.csv : specific file that is used for the database, dashboard and blog post
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A blank entry is a valid entry in some cases.
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Date: date of run
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test-rig : testbed that the tests are run on for example ct_us_001
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test-tag : test specific information to differenciate the test, LANforge radios used, security modes (wpa2 , open)
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dut-hw-version : hardware version of the device under test
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dut-sw-version : software version of the device under test
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dut-model-num : model number / name of the device under test
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test-priority : test-priority is arbitrary number, choosing under 95 means it goes down at bottom of blog report, and higher priority goes at top.
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test-id : script or test name , AP Auto, wifi capacity, data plane, dfs
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short-description : short description of the test
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pass/fail : set blank for performance tests
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numeric-score : this is the value for the y-axis (x-axis is a timestamp), numeric value of what was measured
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test-details : what was measured in the numeric-score, e.g. bits per second, bytes per second, upload speed, minimum cx time (ms)
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Units : units used for the numeric-scort
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Graph-Group - For the dashboard the graph / panel to put the resutls in . Currently the dashboard is Grafana
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'''
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class lf_kpi_csv:
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def __init__(self,
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_kpi_headers = ['Date','test-rig','test-tag','dut-hw-version','dut-sw-version','dut-model-num',
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'test-priority','test-id','short-description','pass/fail','numberic-score'
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'test details','Units','Graph-Group','Subtest-Pass','Subtest-Fail'],
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_kpi_file='kpi.csv' #Currently this is the only file name accepted
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):
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self.kpi_headers = _kpi_headers
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self.kpi_rows = ""
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self.kpi_filename = _kpi_file
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if __name__ == "__main__":
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test = lf_csv()
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test.generate_csv()
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