+ feature = "-base"
+ elif "ip4base" in test_name:
+ file_name = "vm_vhost_ip4"
+ feature = "-base"
+
+ elif "ipsec" in test_name:
+ file_name = "ipsec"
+ feature = "-base-scale"
+
+ elif "ethip4lispip" in test_name or "ethip4vxlan" in test_name:
+ file_name = "ip4_tunnels"
+ feature = "-base"
+
+ elif "ip4base" in test_name or "ip4scale" in test_name:
+ file_name = "ip4"
+ if "xl710" in test_name:
+ feature = "-base-scale-features"
+ elif "iacl" in test_name:
+ feature = "-features-iacl"
+ elif "oacl" in test_name:
+ feature = "-features-oacl"
+ elif "snat" in test_name or "cop" in test_name:
+ feature = "-features"
+ else:
+ feature = "-base-scale"
+
+ elif "ip6base" in test_name or "ip6scale" in test_name:
+ file_name = "ip6"
+ feature = "-base-scale"
+
+ elif "l2xcbase" in test_name or "l2xcscale" in test_name \
+ or "l2bdbasemaclrn" in test_name or "l2bdscale" in test_name \
+ or "l2dbbasemaclrn" in test_name or "l2dbscale" in test_name:
+ file_name = "l2"
+ if "macip" in test_name:
+ feature = "-features-macip"
+ elif "iacl" in test_name:
+ feature = "-features-iacl"
+ elif "oacl" in test_name:
+ feature = "-features-oacl"
+ else:
+ feature = "-base-scale"
+
+ if "x520" in test_name:
+ nic = "x520-"
+ elif "x710" in test_name:
+ nic = "x710-"
+ elif "xl710" in test_name:
+ nic = "xl710-"
+ elif "xxv710" in test_name:
+ nic = "xxv710-"
+ elif "vic1227" in test_name:
+ nic = "vic1227-"
+ elif "vic1385" in test_name:
+ nic = "vic1385-"
+ else:
+ nic = ""
+ anchor += nic
+
+ if "64b" in test_name:
+ framesize = "64b"
+ elif "78b" in test_name:
+ framesize = "78b"
+ elif "imix" in test_name:
+ framesize = "imix"
+ elif "9000b" in test_name:
+ framesize = "9000b"
+ elif "1518b" in test_name:
+ framesize = "1518b"
+ elif "114b" in test_name:
+ framesize = "114b"
+ else:
+ framesize = ""
+ anchor += framesize + '-'
+
+ if "1t1c" in test_name:
+ anchor += "1t1c"
+ elif "2t2c" in test_name:
+ anchor += "2t2c"
+ elif "4t4c" in test_name:
+ anchor += "4t4c"
+ elif "2t1c" in test_name:
+ anchor += "2t1c"
+ elif "4t2c" in test_name:
+ anchor += "4t2c"
+ elif "8t4c" in test_name:
+ anchor += "8t4c"
+
+ return url + file_name + '-' + testbed + '-' + nic + framesize + feature + \
+ anchor + feature
+
+
+def table_performance_trending_dashboard_html(table, input_data):
+ """Generate the table(s) with algorithm:
+ table_performance_trending_dashboard_html specified in the specification
+ file.
+
+ :param table: Table to generate.
+ :param input_data: Data to process.
+ :type table: dict
+ :type input_data: InputData
+ """
+
+ testbed = table.get("testbed", None)
+ if testbed is None:
+ logging.error("The testbed is not defined for the table '{0}'.".
+ format(table.get("title", "")))
+ return
+
+ logging.info(" Generating the table {0} ...".
+ format(table.get("title", "")))
+
+ try:
+ with open(table["input-file"], 'rb') as csv_file:
+ csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
+ csv_lst = [item for item in csv_content]
+ except KeyError:
+ logging.warning("The input file is not defined.")
+ return
+ except csv.Error as err:
+ logging.warning("Not possible to process the file '{0}'.\n{1}".
+ format(table["input-file"], err))
+ return
+
+ # Table:
+ dashboard = ET.Element("table", attrib=dict(width="100%", border='0'))
+
+ # Table header:
+ tr = ET.SubElement(dashboard, "tr", attrib=dict(bgcolor="#7eade7"))
+ for idx, item in enumerate(csv_lst[0]):
+ alignment = "left" if idx == 0 else "center"
+ th = ET.SubElement(tr, "th", attrib=dict(align=alignment))
+ th.text = item
+
+ # Rows:
+ colors = {"regression": ("#ffcccc", "#ff9999"),
+ "progression": ("#c6ecc6", "#9fdf9f"),
+ "normal": ("#e9f1fb", "#d4e4f7")}
+ for r_idx, row in enumerate(csv_lst[1:]):
+ if int(row[4]):
+ color = "regression"
+ elif int(row[5]):
+ color = "progression"
+ else:
+ color = "normal"
+ background = colors[color][r_idx % 2]
+ tr = ET.SubElement(dashboard, "tr", attrib=dict(bgcolor=background))
+
+ # Columns:
+ for c_idx, item in enumerate(row):
+ alignment = "left" if c_idx == 0 else "center"
+ td = ET.SubElement(tr, "td", attrib=dict(align=alignment))
+ # Name:
+ if c_idx == 0:
+ url = _generate_url("../trending/", testbed, item)
+ ref = ET.SubElement(td, "a", attrib=dict(href=url))
+ ref.text = item
+ else:
+ td.text = item
+ try:
+ with open(table["output-file"], 'w') as html_file:
+ logging.info(" Writing file: '{0}'".format(table["output-file"]))
+ html_file.write(".. raw:: html\n\n\t")
+ html_file.write(ET.tostring(dashboard))
+ html_file.write("\n\t<p><br><br></p>\n")
+ except KeyError:
+ logging.warning("The output file is not defined.")
+ return
+
+
+def table_last_failed_tests(table, input_data):
+ """Generate the table(s) with algorithm: table_last_failed_tests
+ specified in the specification file.
+
+ :param table: Table to generate.
+ :param input_data: Data to process.
+ :type table: pandas.Series
+ :type input_data: InputData
+ """
+
+ logging.info(" Generating the table {0} ...".
+ format(table.get("title", "")))
+
+ # Transform the data
+ logging.info(" Creating the data set for the {0} '{1}'.".
+ format(table.get("type", ""), table.get("title", "")))
+ data = input_data.filter_data(table, continue_on_error=True)
+
+ if data is None or data.empty:
+ logging.warn(" No data for the {0} '{1}'.".
+ format(table.get("type", ""), table.get("title", "")))
+ return
+
+ tbl_list = list()
+ for job, builds in table["data"].items():
+ for build in builds:
+ build = str(build)
+ try:
+ version = input_data.metadata(job, build).get("version", "")
+ except KeyError:
+ logging.error("Data for {job}: {build} is not present.".
+ format(job=job, build=build))
+ return
+ tbl_list.append(build)
+ tbl_list.append(version)
+ for tst_name, tst_data in data[job][build].iteritems():
+ if tst_data["status"] != "FAIL":
+ continue
+ groups = re.search(REGEX_NIC, tst_data["parent"])
+ if not groups:
+ continue
+ nic = groups.group(0)
+ tbl_list.append("{0}-{1}".format(nic, tst_data["name"]))
+
+ file_name = "{0}{1}".format(table["output-file"], table["output-file-ext"])
+ logging.info(" Writing file: '{0}'".format(file_name))
+ with open(file_name, "w") as file_handler:
+ for test in tbl_list:
+ file_handler.write(test + '\n')
+
+
+def table_failed_tests(table, input_data):
+ """Generate the table(s) with algorithm: table_failed_tests
+ specified in the specification file.
+
+ :param table: Table to generate.
+ :param input_data: Data to process.
+ :type table: pandas.Series
+ :type input_data: InputData
+ """
+
+ logging.info(" Generating the table {0} ...".
+ format(table.get("title", "")))
+
+ # Transform the data
+ logging.info(" Creating the data set for the {0} '{1}'.".
+ format(table.get("type", ""), table.get("title", "")))
+ data = input_data.filter_data(table, continue_on_error=True)
+
+ # Prepare the header of the tables
+ header = ["Test Case",
+ "Failures [#]",
+ "Last Failure [Time]",
+ "Last Failure [VPP-Build-Id]",
+ "Last Failure [CSIT-Job-Build-Id]"]
+
+ # Generate the data for the table according to the model in the table
+ # specification
+
+ now = dt.utcnow()
+ timeperiod = timedelta(int(table.get("window", 7)))
+
+ tbl_dict = dict()
+ for job, builds in table["data"].items():
+ for build in builds:
+ build = str(build)
+ for tst_name, tst_data in data[job][build].iteritems():
+ if tst_name.lower() in table["ignore-list"]:
+ continue
+ if tbl_dict.get(tst_name, None) is None:
+ groups = re.search(REGEX_NIC, tst_data["parent"])
+ if not groups:
+ continue
+ nic = groups.group(0)
+ tbl_dict[tst_name] = {
+ "name": "{0}-{1}".format(nic, tst_data["name"]),
+ "data": OrderedDict()}
+ try:
+ generated = input_data.metadata(job, build).\
+ get("generated", "")
+ if not generated:
+ continue
+ then = dt.strptime(generated, "%Y%m%d %H:%M")
+ if (now - then) <= timeperiod:
+ tbl_dict[tst_name]["data"][build] = (
+ tst_data["status"],
+ generated,
+ input_data.metadata(job, build).get("version", ""),
+ build)
+ except (TypeError, KeyError) as err:
+ logging.warning("tst_name: {} - err: {}".
+ format(tst_name, repr(err)))
+
+ max_fails = 0
+ tbl_lst = list()
+ for tst_data in tbl_dict.values():
+ fails_nr = 0
+ for val in tst_data["data"].values():
+ if val[0] == "FAIL":
+ fails_nr += 1
+ fails_last_date = val[1]
+ fails_last_vpp = val[2]
+ fails_last_csit = val[3]
+ if fails_nr:
+ max_fails = fails_nr if fails_nr > max_fails else max_fails
+ tbl_lst.append([tst_data["name"],
+ fails_nr,
+ fails_last_date,
+ fails_last_vpp,
+ "mrr-daily-build-{0}".format(fails_last_csit)])
+
+ tbl_lst.sort(key=lambda rel: rel[2], reverse=True)
+ tbl_sorted = list()
+ for nrf in range(max_fails, -1, -1):
+ tbl_fails = [item for item in tbl_lst if item[1] == nrf]
+ tbl_sorted.extend(tbl_fails)
+ file_name = "{0}{1}".format(table["output-file"], table["output-file-ext"])
+
+ logging.info(" Writing file: '{0}'".format(file_name))
+ with open(file_name, "w") as file_handler:
+ file_handler.write(",".join(header) + "\n")
+ for test in tbl_sorted:
+ file_handler.write(",".join([str(item) for item in test]) + '\n')
+
+ txt_file_name = "{0}.txt".format(table["output-file"])
+ logging.info(" Writing file: '{0}'".format(txt_file_name))
+ convert_csv_to_pretty_txt(file_name, txt_file_name)
+
+
+def table_failed_tests_html(table, input_data):
+ """Generate the table(s) with algorithm: table_failed_tests_html
+ specified in the specification file.
+
+ :param table: Table to generate.
+ :param input_data: Data to process.
+ :type table: pandas.Series
+ :type input_data: InputData
+ """
+
+ testbed = table.get("testbed", None)
+ if testbed is None:
+ logging.error("The testbed is not defined for the table '{0}'.".
+ format(table.get("title", "")))
+ return
+
+ logging.info(" Generating the table {0} ...".
+ format(table.get("title", "")))
+
+ try:
+ with open(table["input-file"], 'rb') as csv_file:
+ csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
+ csv_lst = [item for item in csv_content]
+ except KeyError:
+ logging.warning("The input file is not defined.")
+ return
+ except csv.Error as err:
+ logging.warning("Not possible to process the file '{0}'.\n{1}".
+ format(table["input-file"], err))
+ return
+
+ # Table:
+ failed_tests = ET.Element("table", attrib=dict(width="100%", border='0'))
+
+ # Table header:
+ tr = ET.SubElement(failed_tests, "tr", attrib=dict(bgcolor="#7eade7"))
+ for idx, item in enumerate(csv_lst[0]):
+ alignment = "left" if idx == 0 else "center"
+ th = ET.SubElement(tr, "th", attrib=dict(align=alignment))
+ th.text = item
+
+ # Rows:
+ colors = ("#e9f1fb", "#d4e4f7")
+ for r_idx, row in enumerate(csv_lst[1:]):
+ background = colors[r_idx % 2]
+ tr = ET.SubElement(failed_tests, "tr", attrib=dict(bgcolor=background))
+
+ # Columns:
+ for c_idx, item in enumerate(row):
+ alignment = "left" if c_idx == 0 else "center"
+ td = ET.SubElement(tr, "td", attrib=dict(align=alignment))
+ # Name:
+ if c_idx == 0:
+ url = _generate_url("../trending/", testbed, item)
+ ref = ET.SubElement(td, "a", attrib=dict(href=url))
+ ref.text = item
+ else:
+ td.text = item
+ try:
+ with open(table["output-file"], 'w') as html_file:
+ logging.info(" Writing file: '{0}'".format(table["output-file"]))
+ html_file.write(".. raw:: html\n\n\t")
+ html_file.write(ET.tostring(failed_tests))
+ html_file.write("\n\t<p><br><br></p>\n")
+ except KeyError:
+ logging.warning("The output file is not defined.")
+ return