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CSVReader splits on tabs, not commas, and replace NaN with 0x0 in csv file swhen reporting to influx

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Signed-off-by: Matthew Stidham <stidmatt@gmail.com>
This commit is contained in:
Matthew Stidham
2021-07-14 16:05:56 -07:00
parent d6ef5bee74
commit ae2e95723c
3 changed files with 10 additions and 5 deletions
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2
py-dashboard/GhostRequest.py
View File

@@ -30,7 +30,7 @@ import shutil
class CSVReader: class CSVReader:
def read_csv(self, def read_csv(self,
file, file,
sep=','): sep='\t'):
df = open(file).read().split('\n') df = open(file).read().split('\n')
rows = list() rows = list()
for x in df: for x in df:

3
py-scripts/csv_to_influx.py
View File

@@ -69,6 +69,9 @@ class CSVtoInflux():
tags = dict() tags = dict()
print("row: %s" % row) print("row: %s" % row)
short_description = row[columns['short-description']] short_description = row[columns['short-description']]
if row[columns['numeric-score']] == 'NaN':
numeric_score = '0x0'
else:
numeric_score = float(row[columns['numeric-score']]) numeric_score = float(row[columns['numeric-score']])
date = row[columns['Date']] date = row[columns['Date']]
date = datetime.datetime.utcfromtimestamp(int(date) / 1000).isoformat() #convert to datetime so influx can read it, this is required date = datetime.datetime.utcfromtimestamp(int(date) / 1000).isoformat() #convert to datetime so influx can read it, this is required

8
py-scripts/tools/ct_us_002.json
View File

@@ -15,7 +15,7 @@
"lf_mgr_port": "8080", "lf_mgr_port": "8080",
"dut_name": "Ruckus-R750", "dut_name": "Ruckus-R750",
"dut_bssid": "4c:b1:cd:18:e8:ec", "dut_bssid": "4c:b1:cd:18:e8:ec",
"test_timeout": 200, "test_timeout": 1200,
"load_blank_db": false, "load_blank_db": false,
"load_factory_default_db": true, "load_factory_default_db": true,
"load_custom_db": false, "load_custom_db": false,
@@ -101,8 +101,10 @@
" --instance_name ap-auto-instance --config_name test_con --upstream 1.1.eth1", " --instance_name ap-auto-instance --config_name test_con --upstream 1.1.eth1",
" --dut5_0 'DUT_NAME lanforge DUT_BSSID (1)' --dut2_0 'DUT_NAME lanforge DUT_BSSID (1)'", " --dut5_0 'DUT_NAME lanforge DUT_BSSID (1)' --dut2_0 'DUT_NAME lanforge DUT_BSSID (1)'",
" --max_stations_2 32 --max_stations_5 32 --max_stations_dual 100 --radio2 1.1.wiphy1", " --max_stations_2 32 --max_stations_5 32 --max_stations_dual 100 --radio2 1.1.wiphy1",
" --radio5 1.1.wiphy2 --set 'Basic Client Connectivity' 1", " --radio5 1.1.wiphy2 --set 'Basic Client Connectivity' 0",
" --set 'Multi Band Performance' 1 --set 'Skip 2.4 Ghz Tests' 1 --pull_report --local_lf_report_dir REPORT_PATH", " --set 'Multi Band Performance' 1 --set 'Stability' 0 --set 'Multi-Station Throughput vs Pkt Size' 0,",
" --set 'Throughput vs Pkt Size' 0 --set 'Capacity' 0 --set 'Band-Steering' 0 --set 'Skip 2.4 Ghz Tests' 1",
" --pull_report --local_lf_report_dir REPORT_PATH",
" --test_rig TEST_RIG --influx_host DATABASE_HOST --influx_port DATABASE_PORT --influx_org DATABASE_ORG", " --test_rig TEST_RIG --influx_host DATABASE_HOST --influx_port DATABASE_PORT --influx_org DATABASE_ORG",
" --influx_token=DATABASE_TOKEN --influx_bucket DATABASE_BUCKET --influx_tag DATABASE_TAG --set DUT_SET_NAME" " --influx_token=DATABASE_TOKEN --influx_bucket DATABASE_BUCKET --influx_tag DATABASE_TAG --set DUT_SET_NAME"
] ]