:type input_data: InputData
"""
- csv_table = list()
+ job_name = spec.cpta["data"].keys()[0]
+
+ builds_lst = list()
+ for build in spec.input["builds"][job_name]:
+ status = build["status"]
+ if status != "failed" and status != "not found":
+ builds_lst.append(str(build["build"]))
+
+ # 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:
- builds = spec.cpta["data"].values()[0]
- builds_lst = [str(build) for build in range(builds[0], builds[-1] + 1)]
+ csv_table = list()
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"]:
idx += 1
# Generate the chart:
- period_name = "Daily" if period == 1 else \
- "Weekly" if period < 20 else "Monthly"
- # chart["layout"]["title"] = chart["title"].format(period=period_name)
+ chart["layout"]["xaxis"]["title"] = \
+ chart["layout"]["xaxis"]["title"].format(job=job_name)
_generate_chart(traces,
chart["layout"],
file_name="{0}-{1}-{2}{3}".format(
txt_table = None
with open("{0}.csv".format(file_name), 'rb') as csv_file:
csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
- header = True
+ line_nr = 0
for row in csv_content:
if txt_table is None:
txt_table = prettytable.PrettyTable(row)
- header = False
else:
- if not header:
+ if line_nr > 1:
for idx, item in enumerate(row):
try:
row[idx] = str(round(float(item) / 1000000, 2))
except ValueError:
pass
txt_table.add_row(row)
+ line_nr += 1
txt_table.align["Build Number:"] = "l"
with open("{0}.txt".format(file_name), "w") as txt_file:
txt_file.write(str(txt_table))