diff options
Diffstat (limited to 'resources/tools/presentation/generator_plots.py')
-rw-r--r-- | resources/tools/presentation/generator_plots.py | 41 |
1 files changed, 29 insertions, 12 deletions
diff --git a/resources/tools/presentation/generator_plots.py b/resources/tools/presentation/generator_plots.py index f406539eae..f936056fa5 100644 --- a/resources/tools/presentation/generator_plots.py +++ b/resources/tools/presentation/generator_plots.py @@ -107,7 +107,7 @@ def plot_performance_box(plot, input_data): y_sorted = OrderedDict() y_tags_l = {s: [t.lower() for t in ts] for s, ts in y_tags.items()} for tag in order: - logging.info(tag) + logging.debug(tag) for suite, tags in y_tags_l.items(): if "not " in tag: tag = tag.split(" ")[-1] @@ -119,9 +119,9 @@ def plot_performance_box(plot, input_data): try: y_sorted[suite] = y_vals.pop(suite) y_tags_l.pop(suite) - logging.info(suite) + logging.debug(suite) except KeyError as err: - logging.error("Not found: {0}".format(err)) + logging.error("Not found: {0}".format(repr(err))) finally: break else: @@ -144,7 +144,7 @@ def plot_performance_box(plot, input_data): for i, col in enumerate(df.columns): name = "{0}. {1}".format(i + 1, col.lower().replace('-ndrpdrdisc', ''). replace('-ndrpdr', '')) - logging.info(name) + logging.debug(name) traces.append(plgo.Box(x=[str(i + 1) + '.'] * len(df[col]), y=[y / 1000000 if y else None for y in df[col]], name=name, @@ -152,7 +152,7 @@ def plot_performance_box(plot, input_data): try: val_max = max(df[col]) except ValueError as err: - logging.error(err) + logging.error(repr(err)) continue if val_max: y_max.append(int(val_max / 1000000) + 1) @@ -175,7 +175,7 @@ def plot_performance_box(plot, input_data): plot["output-file-type"])) except PlotlyError as err: logging.error(" Finished with error: {}". - format(str(err).replace("\n", " "))) + format(repr(err).replace("\n", " "))) return @@ -204,6 +204,11 @@ def plot_latency_error_bars(plot, input_data): for job in data: for build in job: for test in build: + try: + logging.debug("test['latency']: {0}\n". + format(test["latency"])) + except ValueError as err: + logging.warning(repr(err)) if y_tmp_vals.get(test["parent"], None) is None: y_tmp_vals[test["parent"]] = [ list(), # direction1, min @@ -221,6 +226,8 @@ def plot_latency_error_bars(plot, input_data): elif "-ndr" in plot_title.lower(): ttype = "NDR" else: + logging.warning("Invalid test type: {0}". + format(test["type"])) continue y_tmp_vals[test["parent"]][0].append( test["latency"][ttype]["direction1"]["min"]) @@ -235,17 +242,19 @@ def plot_latency_error_bars(plot, input_data): y_tmp_vals[test["parent"]][5].append( test["latency"][ttype]["direction2"]["max"]) else: + logging.warning("Invalid test type: {0}". + format(test["type"])) continue - except (KeyError, TypeError): - pass - + except (KeyError, TypeError) as err: + logging.warning(repr(err)) + logging.debug("y_tmp_vals: {0}\n".format(y_tmp_vals)) # Sort the tests order = plot.get("sort", None) if order and y_tags: y_sorted = OrderedDict() y_tags_l = {s: [t.lower() for t in ts] for s, ts in y_tags.items()} for tag in order: - logging.info(tag) + logging.debug(tag) for suite, tags in y_tags_l.items(): if "not " in tag: tag = tag.split(" ")[-1] @@ -257,14 +266,15 @@ def plot_latency_error_bars(plot, input_data): try: y_sorted[suite] = y_tmp_vals.pop(suite) y_tags_l.pop(suite) - logging.info(suite) + logging.debug(suite) except KeyError as err: - logging.error("Not found: {0}".format(err)) + logging.error("Not found: {0}".format(repr(err))) finally: break else: y_sorted = y_tmp_vals + logging.debug("y_sorted: {0}\n".format(y_sorted)) x_vals = list() y_vals = list() y_mins = list() @@ -280,6 +290,10 @@ def plot_latency_error_bars(plot, input_data): y_mins.append(mean(val[3]) if val[3] else None) y_maxs.append(mean(val[5]) if val[5] else None) + logging.debug("x_vals :{0}\n".format(x_vals)) + logging.debug("y_vals :{0}\n".format(y_vals)) + logging.debug("y_mins :{0}\n".format(y_mins)) + logging.debug("y_maxs :{0}\n".format(y_maxs)) traces = list() annotations = list() @@ -306,6 +320,9 @@ def plot_latency_error_bars(plot, input_data): arrayminus = [y_vals[idx] - y_mins[idx], ] else: arrayminus = [None, ] + logging.debug("y_vals[{1}] :{0}\n".format(y_vals[idx], idx)) + logging.debug("array :{0}\n".format(array)) + logging.debug("arrayminus :{0}\n".format(arrayminus)) traces.append(plgo.Scatter( x=[idx, ], y=[y_vals[idx], ], |