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061ea18)
Change-Id: I75e614b45bcf1b38709b551ba13bc6e54d2c978d
Signed-off-by: Tibor Frank <tifrank@cisco.com>
:type input_data: InputData
"""
:type input_data: InputData
"""
- csv_table = list()
- # Create the header:
builds = spec.cpta["data"].values()[0]
job_name = spec.cpta["data"].keys()[0]
builds_lst = [str(build) for build in range(builds[0], builds[-1] + 1)]
builds = spec.cpta["data"].values()[0]
job_name = spec.cpta["data"].keys()[0]
builds_lst = [str(build) for build in range(builds[0], builds[-1] + 1)]
+
+ # Get "build ID": "date" dict:
+ build_dates = dict()
+ for build in builds_lst:
+ try:
+ build_dates[build] = \
+ input_data.metadata(job_name, build)["generated"][:14]
+ except KeyError:
+ pass
+
+ # Create the header:
+ csv_table = list()
header = "Build Number:," + ",".join(builds_lst) + '\n'
csv_table.append(header)
header = "Build Number:," + ",".join(builds_lst) + '\n'
csv_table.append(header)
+ header = "Build Date:," + ",".join(build_dates.values()) + '\n'
+ csv_table.append(header)
results = list()
for chart in spec.cpta["plots"]:
results = list()
for chart in spec.cpta["plots"]:
txt_table = None
with open("{0}.csv".format(file_name), 'rb') as csv_file:
csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
txt_table = None
with open("{0}.csv".format(file_name), 'rb') as csv_file:
csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
for row in csv_content:
if txt_table is None:
txt_table = prettytable.PrettyTable(row)
for row in csv_content:
if txt_table is None:
txt_table = prettytable.PrettyTable(row)
for idx, item in enumerate(row):
try:
row[idx] = str(round(float(item) / 1000000, 2))
except ValueError:
pass
txt_table.add_row(row)
for idx, item in enumerate(row):
try:
row[idx] = str(round(float(item) / 1000000, 2))
except ValueError:
pass
txt_table.add_row(row)
txt_table.align["Build Number:"] = "l"
with open("{0}.txt".format(file_name), "w") as txt_file:
txt_file.write(str(txt_table))
txt_table.align["Build Number:"] = "l"
with open("{0}.txt".format(file_name), "w") as txt_file:
txt_file.write(str(txt_table))
import re
import pandas as pd
import logging
import re
import pandas as pd
import logging
+import xml.etree.ElementTree as ET
from robot.api import ExecutionResult, ResultVisitor
from robot import errors
from robot.api import ExecutionResult, ResultVisitor
from robot import errors
+ tree = ET.parse(build["file-name"])
+ root = tree.getroot()
+ generated = root.attrib["generated"]
+
with open(build["file-name"], 'r') as data_file:
try:
result = ExecutionResult(data_file)
with open(build["file-name"], 'r') as data_file:
try:
result = ExecutionResult(data_file)
logging.error("Error occurred while parsing output.xml: {0}".
format(err))
return None
logging.error("Error occurred while parsing output.xml: {0}".
format(err))
return None
- checker = ExecutionChecker(job=job, build=build)
+ checker = ExecutionChecker(job=job, build=build, generated=generated)
result.visit(checker)
return checker.data
result.visit(checker)
return checker.data