Trending: Add exception handling for anomalies classification

[csit.git] / resources / tools / presentation / generator_tables.py

diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index d66a8fc..449b235 100644 (file)
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -24,6 +24,7 @@ from xml.etree import ElementTree as ET
 from datetime import datetime as dt
 from datetime import timedelta
 from copy import deepcopy
 from datetime import datetime as dt
 from datetime import timedelta
 from copy import deepcopy

+from json import loads

 
 import plotly.graph_objects as go
 import plotly.offline as ploff
 
 import plotly.graph_objects as go
 import plotly.offline as ploff


@@ -93,7 +94,7 @@ def table_oper_data_html(table, input_data):
     )
     data = input_data.filter_data(
         table,
     )
     data = input_data.filter_data(
         table,

-        params=[u"name", u"parent", u"show-run", u"type"],
+        params=[u"name", u"parent", u"telemetry-show-run", u"type"],

         continue_on_error=True
     )
     if data.empty:
         continue_on_error=True
     )
     if data.empty:


@@ -146,7 +147,8 @@ def table_oper_data_html(table, input_data):
         )
         thead.text = u"\t"
 
         )
         thead.text = u"\t"
 

-        if tst_data.get(u"show-run", u"No Data") == u"No Data":
+        if tst_data.get(u"telemetry-show-run", None) is None or \
+                isinstance(tst_data[u"telemetry-show-run"], str):

             trow = ET.SubElement(
                 tbl, u"tr", attrib=dict(bgcolor=colors[u"header"])
             )
             trow = ET.SubElement(
                 tbl, u"tr", attrib=dict(bgcolor=colors[u"header"])
             )


@@ -176,7 +178,7 @@ def table_oper_data_html(table, input_data):
             u"Average Vector Size"
         )
 
             u"Average Vector Size"
         )
 

-        for dut_data in tst_data[u"show-run"].values():
+        for dut_data in tst_data[u"telemetry-show-run"].values():

             trow = ET.SubElement(
                 tbl, u"tr", attrib=dict(bgcolor=colors[u"header"])
             )
             trow = ET.SubElement(
                 tbl, u"tr", attrib=dict(bgcolor=colors[u"header"])
             )


@@ -187,37 +189,41 @@ def table_oper_data_html(table, input_data):
                 tcol.text = u"No Data"
                 continue
 
                 tcol.text = u"No Data"
                 continue
 

-            try:
-                threads_nr = len(dut_data[u"runtime"][0][u"clocks"])
-            except (IndexError, KeyError):
-                tcol.text = u"No Data"
-                continue
-
-            threads = OrderedDict({idx: list() for idx in range(threads_nr)})
-            for item in dut_data[u"runtime"]:
-                for idx in range(threads_nr):
-                    if item[u"vectors"][idx] > 0:
-                        clocks = item[u"clocks"][idx] / item[u"vectors"][idx]
-                    elif item[u"calls"][idx] > 0:
-                        clocks = item[u"clocks"][idx] / item[u"calls"][idx]
-                    elif item[u"suspends"][idx] > 0:
-                        clocks = item[u"clocks"][idx] / item[u"suspends"][idx]
+            runtime = dict()
+            for item in dut_data[u"runtime"].get(u"data", tuple()):
+                tid = int(item[u"labels"][u"thread_id"])
+                if runtime.get(tid, None) is None:
+                    runtime[tid] = dict()
+                gnode = item[u"labels"][u"graph_node"]
+                if runtime[tid].get(gnode, None) is None:
+                    runtime[tid][gnode] = dict()
+                try:
+                    runtime[tid][gnode][item[u"name"]] = float(item[u"value"])
+                except ValueError:
+                    runtime[tid][gnode][item[u"name"]] = item[u"value"]
+
+            threads = dict({idx: list() for idx in range(len(runtime))})
+            for idx, run_data in runtime.items():
+                for gnode, gdata in run_data.items():
+                    if gdata[u"vectors"] > 0:
+                        clocks = gdata[u"clocks"] / gdata[u"vectors"]
+                    elif gdata[u"calls"] > 0:
+                        clocks = gdata[u"clocks"] / gdata[u"calls"]
+                    elif gdata[u"suspends"] > 0:
+                        clocks = gdata[u"clocks"] / gdata[u"suspends"]

                     else:
                         clocks = 0.0
                     else:
                         clocks = 0.0

-
-                    if item[u"calls"][idx] > 0:
-                        vectors_call = item[u"vectors"][idx] / item[u"calls"][
-                            idx]
+                    if gdata[u"calls"] > 0:
+                        vectors_call = gdata[u"vectors"] / gdata[u"calls"]

                     else:
                         vectors_call = 0.0
                     else:
                         vectors_call = 0.0

-
-                    if int(item[u"calls"][idx]) + int(item[u"vectors"][idx]) + \
-                        int(item[u"suspends"][idx]):
+                    if int(gdata[u"calls"]) + int(gdata[u"vectors"]) + \
+                            int(gdata[u"suspends"]):

                         threads[idx].append([
                         threads[idx].append([

-                            item[u"name"],
-                            item[u"calls"][idx],
-                            item[u"vectors"][idx],
-                            item[u"suspends"][idx],
+                            gnode,
+                            int(gdata[u"calls"]),
+                            int(gdata[u"vectors"]),
+                            int(gdata[u"suspends"]),

                             clocks,
                             vectors_call
                         ])
                             clocks,
                             vectors_call
                         ])


@@ -384,14 +390,13 @@ def table_merged_details(table, input_data):
                         # Temporary solution: remove NDR results from message:
                         if bool(table.get(u'remove-ndr', False)):
                             try:
                         # Temporary solution: remove NDR results from message:
                         if bool(table.get(u'remove-ndr', False)):
                             try:

-                                col_data = col_data.split(u" |br| ", 1)[1]
+                                col_data = col_data.split(u"\n", 1)[1]

                             except IndexError:
                                 pass
                         col_data = col_data.replace(u'\n', u' |br| ').\
                             replace(u'\r', u'').replace(u'"', u"'")
                         col_data = f" |prein| {col_data} |preout| "
                             except IndexError:
                                 pass
                         col_data = col_data.replace(u'\n', u' |br| ').\
                             replace(u'\r', u'').replace(u'"', u"'")
                         col_data = f" |prein| {col_data} |preout| "

-                    elif column[u"data"].split(u" ")[1] in \
-                            (u"conf-history", u"show-run"):
+                    elif column[u"data"].split(u" ")[1] in (u"conf-history", ):

                         col_data = col_data.replace(u'\n', u' |br| ')
                         col_data = f" |prein| {col_data[:-5]} |preout| "
                     row_lst.append(f'"{col_data}"')
                         col_data = col_data.replace(u'\n', u' |br| ')
                         col_data = f" |prein| {col_data[:-5]} |preout| "
                     row_lst.append(f'"{col_data}"')


@@ -912,7 +917,11 @@ def table_perf_trending_dash(table, input_data):
         if len(data_t) < 2:
             continue
 
         if len(data_t) < 2:
             continue
 

-        classification_lst, avgs, _ = classify_anomalies(data_t)
+        try:
+            classification_lst, avgs, _ = classify_anomalies(data_t)
+        except ValueError as err:
+            logging.info(f"{err} Skipping")
+            return

 
         win_size = min(len(data_t), table[u"window"])
         long_win_size = min(len(data_t), table[u"long-trend-window"])
 
         win_size = min(len(data_t), table[u"window"])
         long_win_size = min(len(data_t), table[u"long-trend-window"])


@@ -1225,6 +1234,9 @@ def table_perf_trending_dash_html(table, input_data):
     try:
         with open(table[u"input-file"], u'rt') as csv_file:
             csv_lst = list(csv.reader(csv_file, delimiter=u',', quotechar=u'"'))
     try:
         with open(table[u"input-file"], u'rt') as csv_file:
             csv_lst = list(csv.reader(csv_file, delimiter=u',', quotechar=u'"'))

+    except FileNotFoundError as err:
+        logging.warning(f"{err}")
+        return

     except KeyError:
         logging.warning(u"The input file is not defined.")
         return
     except KeyError:
         logging.warning(u"The input file is not defined.")
         return


@@ -1336,6 +1348,8 @@ def table_last_failed_tests(table, input_data):
             build = str(build)
             try:
                 version = input_data.metadata(job, build).get(u"version", u"")
             build = str(build)
             try:
                 version = input_data.metadata(job, build).get(u"version", u"")

+                duration = \
+                    input_data.metadata(job, build).get(u"elapsedtime", u"")

             except KeyError:
                 logging.error(f"Data for {job}: {build} is not present.")
                 return
             except KeyError:
                 logging.error(f"Data for {job}: {build} is not present.")
                 return


@@ -1354,15 +1368,16 @@ def table_last_failed_tests(table, input_data):
                     continue
                 nic = groups.group(0)
                 failed_tests.append(f"{nic}-{tst_data[u'name']}")
                     continue
                 nic = groups.group(0)
                 failed_tests.append(f"{nic}-{tst_data[u'name']}")

-            tbl_list.append(str(passed))
-            tbl_list.append(str(failed))
+            tbl_list.append(passed)
+            tbl_list.append(failed)
+            tbl_list.append(duration)

             tbl_list.extend(failed_tests)
 
     file_name = f"{table[u'output-file']}{table[u'output-file-ext']}"
     logging.info(f"    Writing file: {file_name}")
     with open(file_name, u"wt") as file_handler:
         for test in tbl_list:
             tbl_list.extend(failed_tests)
 
     file_name = f"{table[u'output-file']}{table[u'output-file-ext']}"
     logging.info(f"    Writing file: {file_name}")
     with open(file_name, u"wt") as file_handler:
         for test in tbl_list:

-            file_handler.write(test + u'\n')
+            file_handler.write(f"{test}\n")

 
 
 def table_failed_tests(table, input_data):
 
 
 def table_failed_tests(table, input_data):