scottk/wlan-lanforge-scripts
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csv-convert: Open-code the csv manipulation.

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This makes it easier to deal with slightly different input formats,
and allows us to properly convert Mbps, Gbps, Kbps, bps to Mbps
units.

Signed-off-by: Ben Greear <greearb@candelatech.com>
This commit is contained in:
Ben Greear
2021-04-07 10:56:19 -07:00
parent 0a3c126390
commit e10c5630a6
1 changed files with 46 additions and 25 deletions
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71
py-scripts/csv_convert.py
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@@ -14,34 +14,53 @@ if 'py-json' not in sys.path:
sys.path.append(os.path.join(os.path.abspath('..'), 'py-json'))
class CSVParcer():
def __init__(self,csv_infile=None,csv_outfile=None):
def __init__(self,csv_infile=None,csv_outfile=None,ddb=False):
# Grab the appropriate columns from Candela csv and place in the Comcast csv
include_summary = ['Atten','Rotation','Rx-Bps']
self.csv_infile = csv_infile
self.csv_outfile = csv_outfile
idx = 0
i_atten = -1
i_rotation = -1
i_rxbps = -1
fpo = open(csv_outfile, "w")
with open(csv_infile) as fp:
line = fp.readline()
if not line:
exit(1)
x = line.split(",")
cni = 0
for cn in x:
if (cn == "Atten"):
i_atten = cni
if (cn == "Rotation"):
i_rotation = cni
if (cn == "Rx-Bps"):
i_rxbps = cni
cni += 1
try:
#dataframe = pd.read_csv(self.csv_infile,header = 0, usecols = lambda column : any(substr in column for substr in include_summary ))
dataframe = pd.read_csv(self.csv_infile,header = 0, usecols = lambda column : column in include_summary )
except:
print("Input file not accessible, please check for presence of input file")
exit(1)
# Write out out header
fpo.write("Step Index,Attenuation [dB],Position [Deg],Traffic Pair 1 Throughput [Mbps]\n")
dataframe.index.name = 'Step Index'
dataframe = dataframe.replace('Mbps','',regex=True)
dataframe = dataframe.rename(columns={'Atten':'Attenuation [dB]','Rotation':'Position [Deg]','Rx-Bps':'Traffic Pair 1 Throughput [Mbps]'})
line = fp.readline()
#print('{}'.format(self.csv_infile))
#print("dataframe {}".format(dataframe))
csv_summary = self.csv_outfile
csv_summary = os.path.splitext(csv_summary)[0] + '.csv'
dataframe.to_csv(csv_summary, index = True, header=True)
xlsx_summary = os.path.splitext(csv_summary)[0] + '.xlsx'
dataframe.to_excel(xlsx_summary, index = True, header=True)
print("INFILE: {} OUTFILE(xlsx): {} OUTFILE(csv): {}".format(csv_infile,xlsx_summary,csv_summary))
step_i = 0
while line:
x = line.split(",")
mbps_data = x[i_rxbps]
mbps_array = mbps_data.split(" ")
mbps_val = float(mbps_array[0])
if (mbps_array[1] == "Gbps"):
mbps_val *= 1000
if (mbps_array[1] == "Kbps"):
mbps_val /= 1000
if (mbps_array[1] == "bps"):
mbps_val /= 1000000
attenv = int(x[i_atten])
if ddb:
attenv /= 10
fpo.write("%s,%s,%s,%s\n" % (step_i, attenv, x[i_rotation], mbps_val))
line = fp.readline()
step_i += 1
def main():
@@ -61,7 +80,9 @@ csv_convert.py:
# for testing parser.add_argument('-i','--infile', help="input file of csv data", default='text-csv-0-candela.csv')
parser.add_argument('-i','--infile', help="input file of csv data", required=True)
parser.add_argument('-o','--outfile', help="output file of csv, xlsx data , default: outfile.xlsx outfile.csv", default='outfile')
parser.add_argument('-d','--ddb', help="Specify attenuation units are in ddb in source file",
action='store_true', default=False)
parser.add_argument('-o','--outfile', help="output file in .csv format", default='outfile.csv')
args = parser.parse_args()
@@ -72,7 +93,7 @@ csv_convert.py:
if args.outfile:
csv_outfile_name = args.outfile
CSVParcer(csv_infile_name,csv_outfile_name)
CSVParcer(csv_infile_name, csv_outfile_name, args.ddb)
if __name__ == "__main__":
main()