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/*
 * Copyright (c) 2015 Cisco and/or its affiliates.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at:
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
/*
 * trace.c: VLIB trace buffer.
 *
 * Copyright (c) 2008 Eliot Dresselhaus
 *
 * Permission is hereby granted, free of charge, to any person obtaining
 * a copy of this software and associated documentation files (the
 * "Software"), to deal in the Software without restriction, including
 * without limitation the rights to use, copy, modify, merge, publish,
 * distribute, sublicense, and/or sell copies of the Software, and to
 * permit persons to whom the Software is furnished to do so, subject to
 * the following conditions:
 *
 * The above copyright notice and this permission notice shall be
 * included in all copies or substantial portions of the Software.
 *
 *  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 *  EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
 *  MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
 *  NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
 *  LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
 *  OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
 *  WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 */

#include <vlib/vlib.h>
#include <vlib/threads.h>

u8 *vnet_trace_placeholder;

/* Helper function for nodes which only trace buffer data. */
void
vlib_trace_frame_buffers_only (vlib_main_t * vm,
			       vlib_node_runtime_t * node,
			       u32 * buffers,
			       uword n_buffers,
			       uword next_buffer_stride,
			       uword n_buffer_data_bytes_in_trace)
{
  u32 n_left, *from;

  n_left = n_buffers;
  from = buffers;

  while (n_left >= 4)
    {
      u32 bi0, bi1;
      vlib_buffer_t *b0, *b1;
      u8 *t0, *t1;

      /* Prefetch next iteration. */
      vlib_prefetch_buffer_with_index (vm, from[2], LOAD);
      vlib_prefetch_buffer_with_index (vm, from[3], LOAD);

      bi0 = from[0];
      bi1 = from[1];

      b0 = vlib_get_buffer (vm, bi0);
      b1 = vlib_get_buffer (vm, bi1);

      if (b0->flags & VLIB_BUFFER_IS_TRACED)
	{
	  t0 = vlib_add_trace (vm, node, b0, n_buffer_data_bytes_in_trace);
	  clib_memcpy_fast (t0, b0->data + b0->current_data,
			    n_buffer_data_bytes_in_trace);
	}
      if (b1->flags & VLIB_BUFFER_IS_TRACED)
	{
	  t1 = vlib_add_trace (vm, node, b1, n_buffer_data_bytes_in_trace);
	  clib_memcpy_fast (t1, b1->data + b1->current_data,
			    n_buffer_data_bytes_in_trace);
	}
      from += 2;
      n_left -= 2;
    }

  while (n_left >= 1)
    {
      u32 bi0;
      vlib_buffer_t *b0;
      u8 *t0;

      bi0 = from[0];

      b0 = vlib_get_buffer (vm, bi0);

      if (b0->flags & VLIB_BUFFER_IS_TRACED)
	{
	  t0 = vlib_add_trace (vm, node, b0, n_buffer_data_bytes_in_trace);
	  clib_memcpy_fast (t0, b0->data + b0->current_data,
			    n_buffer_data_bytes_in_trace);
	}
      from += 1;
      n_left -= 1;
    }
}

/* Free up all trace buffer memory. */
always_inline void
clear_trace_buffer (void)
{
  int i;
  vlib_trace_main_t *tm;

  /* *INDENT-OFF* */
  foreach_vlib_main (
  ({
    tm = &this_vlib_main->trace_main;

    tm->trace_enable = 0;
    vec_free (tm->nodes);
  }));

  foreach_vlib_main (
  ({
    tm = &this_vlib_main->trace_main;

    for (i = 0; i < vec_len (tm->trace_buffer_pool); i++)
      if (! pool_is_free_index (tm->trace_buffer_pool, i))
        vec_free (tm->trace_buffer_pool[i]);
    pool_free (tm->trace_buffer_pool);
  }));
  /* *INDENT-ON* */
}

u8 *
format_vlib_trace (u8 * s, va_list * va)
{
  vlib_main_t *vm = va_arg (*va, vlib_main_t *);
  vlib_trace_header_t *h = va_arg (*va, vlib_trace_header_t *);
  vlib_trace_header_t *e = vec_end (h);
  vlib_node_t *node, *prev_node;
  clib_time_t *ct = &vm->clib_time;
  f64 t;

  prev_node = 0;
  while (h < e)
    {
      node = vlib_get_node (vm, h->node_index);

      if (node != prev_node)
	{
	  t =
	    (h->time - vm->cpu_time_main_loop_start) * ct->seconds_per_clock;
	  s =
	    format (s, "\n%U: %v", format_time_interval, "h:m:s:u", t,
		    node->name);
	}
      prev_node = node;

      if (node->format_trace)
	s = format (s, "\n  %U", node->format_trace, vm, node, h->data);
      else
	s = format (s, "\n  %U", node->format_buffer, h->data);

      h = vlib_trace_header_next (h);
    }

  return s;
}

/* Root of all trace cli commands. */
/* *INDENT-OFF* */
VLIB_CLI_COMMAND (trace_cli_command,static) = {
  .path = "trace",
  .short_help = "Packet tracer commands",
};
/* *INDENT-ON* */

int
trace_time_cmp (void *a1, void *a2)
{
  vlib_trace_header_t **t1 = a1;
  vlib_trace_header_t **t2 = a2;
  i64 dt = t1[0]->time - t2[0]->time;
  return dt < 0 ? -1 : (dt > 0 ? +1 : 0);
}

/*
 * Return 1 if this packet passes the trace filter, or 0 otherwise
 */
u32
filter_accept (vlib_trace_main_t * tm, vlib_trace_header_t * h)
{
  vlib_trace_header_t *e = vec_end (h);

  if (tm->filter_flag == 0)
    return 1;

  if (tm->filter_flag == FILTER_FLAG_INCLUDE)
    {
      while (h < e)
	{
	  if (h->node_index == tm->filter_node_index)
	    return 1;
	  h = vlib_trace_header_next (h);
	}
      return 0;
    }
  else				/* FILTER_FLAG_EXCLUDE */
    {
      while (h < e)
	{
	  if (h->node_index == tm->filter_node_index)
	    return 0;
	  h = vlib_trace_header_next (h);
	}
      return 1;
    }

  return 0;
}

/*
 * Remove traces from the trace buffer pool that don't pass the filter
 */
void
trace_apply_filter (vlib_main_t * vm)
{
  vlib_trace_main_t *tm = &vm->trace_main;
  vlib_trace_header_t **h;
  vlib_trace_header_t ***traces_to_remove = 0;
  u32 index;
  u32 trace_index;
  u32 n_accepted;

  u32 accept;

  if (tm->filter_flag == FILTER_FLAG_NONE)
    return;

  /*
   * Ideally we would retain the first N traces that pass the filter instead
   * of any N traces.
   */
  n_accepted = 0;
  /* *INDENT-OFF* */
  pool_foreach (h, tm->trace_buffer_pool,
   ({
      accept = filter_accept(tm, h[0]);

      if ((n_accepted == tm->filter_count) || !accept)
          vec_add1 (traces_to_remove, h);
      else
          n_accepted++;
  }));
  /* *INDENT-ON* */

  /* remove all traces that we don't want to keep */
  for (index = 0; index < vec_len (traces_to_remove); index++)
    {
      trace_index = traces_to_remove[index] - tm->trace_buffer_pool;
      _vec_len (tm->trace_buffer_pool[trace_index]) = 0;
      pool_put_index (tm->trace_buffer_pool, trace_index);
    }

  vec_free (traces_to_remove);
}

static clib_error_t *
cli_show_trace_buffer (vlib_main_t * vm,
		       unformat_input_t * input, vlib_cli_command_t * cmd)
{
  vlib_trace_main_t *tm;
  vlib_trace_header_t **h, **traces;
  u32 i, index = 0;
  char *fmt;
  u8 *s = 0;
  u32 max;

  /*
   * By default display only this many traces. To display more, explicitly
   * specify a max. This prevents unexpectedly huge outputs.
   */
  max = 50;
  while (unformat_check_input (input) != (uword) UNFORMAT_END_OF_INPUT)
    {
      if (unformat (input, "max %d", &max))
	;
      else
	return clib_error_create ("expected 'max COUNT', got `%U'",
				  format_unformat_error, input);
    }


  /* Get active traces from pool. */

  /* *INDENT-OFF* */
  foreach_vlib_main (
  ({
    fmt = "------------------- Start of thread %d %s -------------------\n";
    s = format (s, fmt, index, vlib_worker_threads[index].name);

    tm = &this_vlib_main->trace_main;

    trace_apply_filter(this_vlib_main);

    traces = 0;
    pool_foreach (h, tm->trace_buffer_pool,
    ({
      vec_add1 (traces, h[0]);
    }));

    if (vec_len (traces) == 0)
      {
        s = format (s, "No packets in trace buffer\n");
        goto done;
      }

    /* Sort them by increasing time. */
    vec_sort_with_function (traces, trace_time_cmp);

    for (i = 0; i < vec_len (traces); i++)
      {
        if (i == max)
          {
            vlib_cli_output (vm, "Limiting display to %d packets."
                                 " To display more specify max.", max);
            goto done;
          }

        s = format (s, "Packet %d\n%U\n\n", i + 1,
                         format_vlib_trace, vm, traces[i]);
      }

  done:
    vec_free (traces);

    index++;
  }));
  /* *INDENT-ON* */

  vlib_cli_output (vm, "%v", s);
  vec_free (s);
  return 0;
}

/* *INDENT-OFF* */
VLIB_CLI_COMMAND (show_trace_cli,static) = {
  .path = "show trace",
  .short_help = "Show trace buffer [max COUNT]",
  .function = cli_show_trace_buffer,
};
/* *INDENT-ON* */

int vlib_enable_disable_pkt_trace_filter (int enable) __attribute__ ((weak));

int
vlib_enable_disable_pkt_trace_filter (int enable)
{
  return 0;
}

void
vlib_trace_stop_and_clear (void)
{
  vlib_enable_disable_pkt_trace_filter (0);	/* disble tracing */
  clear_trace_buffer ();
}


void
trace_update_capture_options (u32 add, u32 node_index, u32 filter, u8 verbose)
{
  vlib_trace_main_t *tm;
  vlib_trace_node_t *tn;

  if (add == ~0)
    add = 50;

  /* *INDENT-OFF* */
  foreach_vlib_main ((
    {
      tm = &this_vlib_main->trace_main;
      tm->verbose = verbose;
      vec_validate (tm->nodes, node_index);
      tn = tm->nodes + node_index;

      /*
       * Adding 0 makes no real sense, and there wa no other way
       * to explicilty zero-out the limits and count, so make
       * an "add 0" request really be "set to 0".
       */
      if (add == 0)
	  tn->limit = tn->count = 0;
      else
	  tn->limit += add;
    }));

  foreach_vlib_main ((
    {
      tm = &this_vlib_main->trace_main;
      tm->trace_enable = 1;
    }));
  /* *INDENT-ON* */
}

static clib_error_t *
cli_add_trace_buffer (vlib_main_t * vm,
		      unformat_input_t * input, vlib_cli_command_t * cmd)
{
  unformat_input_t _line_input, *line_input = &_line_input;
  vlib_node_t *node;
  u32 node_index, add;
  u8 verbose = 0;
  int filter = 0;
  clib_error_t *error = 0;

  if (!unformat_user (input, unformat_line_input, line_input))
    return 0;

  if (vnet_trace_placeholder == 0)
    vec_validate_aligned (vnet_trace_placeholder, 2048,
			  CLIB_CACHE_LINE_BYTES);

  while (unformat_check_input (line_input) != (uword) UNFORMAT_END_OF_INPUT)
    {
      if (unformat (line_input, "%U %d",
		    unformat_vlib_node, vm, &node_index, &add))
	;
      else if (unformat (line_input, "verbose"))
	verbose = 1;
      else if (unformat (line_input, "filter"))
	filter = 1;
      else
	{
	  error = clib_error_create ("expected NODE COUNT, got `%U'",
				     format_unformat_error, line_input);
	  goto done;
	}
    }

  node = vlib_get_node (vm, node_index);

  if ((node->flags & VLIB_NODE_FLAG_TRACE_SUPPORTED) == 0)
    {
      error = clib_error_create ("node '%U' doesn't support per-node "
				 "tracing. There may be another way to "
				 "initiate trace on this node.",
				 format_vlib_node_name, vm, node_index);
      goto done;
    }

  if (filter)
    {
      if (vlib_enable_disable_pkt_trace_filter (1 /* enable */ ))
	{
	  error = clib_error_create ("No packet trace filter configured...");
	  goto done;
	}
    }

  trace_update_capture_options (add, node_index, filter, verbose);

done:
  unformat_free (line_input);

  return error;
}

/* *INDENT-OFF* */
VLIB_CLI_COMMAND (add_trace_cli,static) = {
  .path = "trace add",
  .short_help = "trace add <input-graph-node> <add'l-pkts-for-node-> [filter] [verbose]",
  .function = cli_add_trace_buffer,
};
/* *INDENT-ON* */

/*
 * Configure a filter for packet traces.
 *
 * This supplements the packet trace feature so that only packets matching
 * the filter are included in the trace. Currently the only filter is to
 * keep packets that include a certain node in the trace or exclude a certain
 * node in the trace.
 *
 * The count of traced packets in the "trace add" command is still used to
 * create a certain number of traces. The "trace filter" command specifies
 * how many of those packets should be retained in the trace.
 *
 * For example, 1Mpps of traffic is arriving and one of those packets is being
 * dropped. To capture the trace for only that dropped packet, you can do:
 *     trace filter include error-drop 1
 *     trace add dpdk-input 1000000
 *     <wait one second>
 *     show trace
 *
 * Note that the filter could be implemented by capturing all traces and just
 * reducing traces displayed by the "show trace" function. But that would
 * require a lot of memory for storing the traces, making that infeasible.
 *
 * To remove traces from the trace pool that do not include a certain node
 * requires that the trace be "complete" before applying the filter. To
 * accomplish this, the trace pool is filtered upon each iteraction of the
 * main vlib loop. Doing so keeps the number of allocated traces down to a
 * reasonably low number. This requires that tracing for a buffer is not
 * performed after the vlib main loop interation completes. i.e. you can't
 * save away a buffer temporarily then inject it back into the graph and
 * expect that the trace_index is still valid (such as a traffic manager might
 * do). A new trace buffer should be allocated for those types of packets.
 *
 * The filter can be extended to support multiple nodes and other match
 * criteria (e.g. input sw_if_index, mac address) but for now just checks if
 * a specified node is in the trace or not in the trace.
 */

void
trace_filter_set (u32 node_index, u32 flag, u32 count)
{
  /* *INDENT-OFF* */
  foreach_vlib_main (
  ({
    vlib_trace_main_t *tm;

    tm = &this_vlib_main->trace_main;
    tm->filter_node_index = node_index;
    tm->filter_flag = flag;
    tm->filter_count = count;

    /*
     * Clear the trace limits to stop any in-progress tracing
     * Prevents runaway trace allocations when the filter changes
     * (or is removed)
     */
    vec_free (tm->nodes);
  }));
  /* *INDENT-ON* */
}


static clib_error_t *
cli_filter_trace (vlib_main_t * vm,
		  unformat_input_t * input, vlib_cli_command_t * cmd)
{
  u32 filter_node_index;
  u32 filter_flag;
  u32 filter_count;

  if (unformat (input, "include %U %d",
		unformat_vlib_node, vm, &filter_node_index, &filter_count))
    {
      filter_flag = FILTER_FLAG_INCLUDE;
    }
  else if (unformat (input, "exclude %U %d",
		     unformat_vlib_node, vm, &filter_node_index,
		     &filter_count))
    {
      filter_flag = FILTER_FLAG_EXCLUDE;
    }
  else if (unformat (input, "none"))
    {
      filter_flag = FILTER_FLAG_NONE;
      filter_node_index = 0;
      filter_count = 0;
    }
  else
    return
      clib_error_create
      ("expected 'include NODE COUNT' or 'exclude NODE COUNT' or 'none', got `%U'",
       format_unformat_error, input);

  trace_filter_set (filter_node_index, filter_flag, filter_count);

  return 0;
}

/* *INDENT-OFF* */
VLIB_CLI_COMMAND (filter_trace_cli,static) = {
  .path = "trace filter",
  .short_help = "trace filter none | [include|exclude] NODE COUNT",
  .function = cli_filter_trace,
};
/* *INDENT-ON* */

static clib_error_t *
cli_clear_trace_buffer (vlib_main_t * vm,
			unformat_input_t * input, vlib_cli_command_t * cmd)
{
  vlib_trace_stop_and_clear ();
  return 0;
}

/* *INDENT-OFF* */
VLIB_CLI_COMMAND (clear_trace_cli,static) = {
  .path = "clear trace",
  .short_help = "Clear trace buffer and free memory",
  .function = cli_clear_trace_buffer,
};
/* *INDENT-ON* */

/* Placeholder function to get us linked in. */
void
vlib_trace_cli_reference (void)
{
}

int
vnet_is_packet_traced (vlib_buffer_t * b,
		       u32 classify_table_index, int func)
__attribute__ ((weak));

int
vnet_is_packet_traced (vlib_buffer_t * b, u32 classify_table_index, int func)
{
  clib_warning ("BUG: STUB called");
  return 1;
}

void *
vlib_add_trace (vlib_main_t * vm,
		vlib_node_runtime_t * r, vlib_buffer_t * b, u32 n_data_bytes)
{
  return vlib_add_trace_inline (vm, r, b, n_data_bytes);
}



/*
 * fd.io coding-style-patch-verification: ON
 *
 * Local Variables:
 * eval: (c-set-style "gnu")
 * End:
 */
logging.error(u"No data.") return # Prepare the data for the plot y_vals = OrderedDict() loss = dict() for job in data: for build in job: for test in build: if y_vals.get(test[u"parent"], None) is None: y_vals[test[u"parent"]] = list() loss[test[u"parent"]] = list() try: y_vals[test[u"parent"]].append(test[u"result"][u"time"]) loss[test[u"parent"]].append(test[u"result"][u"loss"]) except (KeyError, TypeError): y_vals[test[u"parent"]].append(None) # Add None to the lists with missing data max_len = 0 nr_of_samples = list() for val in y_vals.values(): if len(val) > max_len: max_len = len(val) nr_of_samples.append(len(val)) for val in y_vals.values(): if len(val) < max_len: val.extend([None for _ in range(max_len - len(val))]) # Add plot traces traces = list() df_y = pd.DataFrame(y_vals) df_y.head() for i, col in enumerate(df_y.columns): tst_name = re.sub(REGEX_NIC, u"", col.lower().replace(u'-ndrpdr', u''). replace(u'2n1l-', u'')) traces.append(plgo.Box( x=[str(i + 1) + u'.'] * len(df_y[col]), y=[y if y else None for y in df_y[col]], name=( f"{i + 1}. " f"({nr_of_samples[i]:02d} " f"run{u's' if nr_of_samples[i] > 1 else u''}, " f"packets lost average: {mean(loss[col]):.1f}) " f"{u'-'.join(tst_name.split(u'-')[3:-2])}" ), hoverinfo=u"y+name" )) try: # Create plot layout = deepcopy(plot[u"layout"]) layout[u"title"] = f"<b>Time Lost:</b> {layout[u'title']}" layout[u"yaxis"][u"title"] = u"<b>Effective Blocked Time [s]</b>" layout[u"legend"][u"font"][u"size"] = 14 layout[u"yaxis"].pop(u"range") plpl = plgo.Figure(data=traces, layout=layout) # Export Plot file_type = plot.get(u"output-file-type", u".html") logging.info(f" Writing file {plot[u'output-file']}{file_type}.") ploff.plot( plpl, show_link=False, auto_open=False, filename=f"{plot[u'output-file']}{file_type}" ) except PlotlyError as err: logging.error( f" Finished with error: {repr(err)}".replace(u"\n", u" ") ) return def plot_perf_box_name(plot, input_data): """Generate the plot(s) with algorithm: plot_perf_box_name specified in the specification file. :param plot: Plot to generate. :param input_data: Data to process. :type plot: pandas.Series :type input_data: InputData """ # Transform the data logging.info( f" Creating data set for the {plot.get(u'type', u'')} " f"{plot.get(u'title', u'')}." ) data = input_data.filter_tests_by_name( plot, params=[u"throughput", u"gbps", u"result", u"parent", u"tags", u"type"]) if data is None: logging.error(u"No data.") return # Prepare the data for the plot plot_title = plot.get(u"title", u"").lower() if u"-gbps" in plot_title: value = u"gbps" multiplier = 1e6 else: value = u"throughput" multiplier = 1.0 y_vals = OrderedDict() test_type = u"" for item in plot.get(u"include", tuple()): reg_ex = re.compile(str(item).lower()) for job in data: for build in job: for test_id, test in build.iteritems(): if not re.match(reg_ex, str(test_id).lower()): continue if y_vals.get(test[u"parent"], None) is None: y_vals[test[u"parent"]] = list() try: if test[u"type"] in (u"NDRPDR", u"CPS"): test_type = test[u"type"] if u"-pdr" in plot_title: ttype = u"PDR" elif u"-ndr" in plot_title: ttype = u"NDR" else: raise RuntimeError( u"Wrong title. No information about test " u"type. Add '-ndr' or '-pdr' to the test " u"title." ) y_vals[test[u"parent"]].append( test[value][ttype][u"LOWER"] * multiplier ) elif test[u"type"] in (u"SOAK",): y_vals[test[u"parent"]]. \ append(test[u"throughput"][u"LOWER"]) test_type = u"SOAK" elif test[u"type"] in (u"HOSTSTACK",): if u"LDPRELOAD" in test[u"tags"]: y_vals[test[u"parent"]].append( float( test[u"result"][u"bits_per_second"] ) / 1e3 ) elif u"VPPECHO" in test[u"tags"]: y_vals[test[u"parent"]].append( (float( test[u"result"][u"client"][u"tx_data"] ) * 8 / 1e3) / ((float( test[u"result"][u"client"][u"time"] ) + float( test[u"result"][u"server"][u"time"]) ) / 2) ) test_type = u"HOSTSTACK" else: continue except (KeyError, TypeError): y_vals[test[u"parent"]].append(None) # Add None to the lists with missing data max_len = 0 nr_of_samples = list() for val in y_vals.values(): if len(val) > max_len: max_len = len(val) nr_of_samples.append(len(val)) for val in y_vals.values(): if len(val) < max_len: val.extend([None for _ in range(max_len - len(val))]) # Add plot traces traces = list() df_y = pd.DataFrame(y_vals) df_y.head() y_max = list() for i, col in enumerate(df_y.columns): tst_name = re.sub(REGEX_NIC, u"", col.lower().replace(u'-ndrpdr', u''). replace(u'2n1l-', u'')) kwargs = dict( x=[str(i + 1) + u'.'] * len(df_y[col]), y=[y / 1e6 if y else None for y in df_y[col]], name=( f"{i + 1}. " f"({nr_of_samples[i]:02d} " f"run{u's' if nr_of_samples[i] > 1 else u''}) " f"{tst_name}" ), hoverinfo=u"y+name" ) if test_type in (u"SOAK", ): kwargs[u"boxpoints"] = u"all" traces.append(plgo.Box(**kwargs)) try: val_max = max(df_y[col]) if val_max: y_max.append(int(val_max / 1e6) + 2) except (ValueError, TypeError) as err: logging.error(repr(err)) continue try: # Create plot layout = deepcopy(plot[u"layout"]) if layout.get(u"title", None): if test_type in (u"HOSTSTACK", ): layout[u"title"] = f"<b>Bandwidth:</b> {layout[u'title']}" elif test_type in (u"CPS", ): layout[u"title"] = f"<b>CPS:</b> {layout[u'title']}" else: layout[u"title"] = f"<b>Throughput:</b> {layout[u'title']}" if y_max: layout[u"yaxis"][u"range"] = [0, max(y_max)] plpl = plgo.Figure(data=traces, layout=layout) # Export Plot logging.info(f" Writing file {plot[u'output-file']}.html.") ploff.plot( plpl, show_link=False, auto_open=False, filename=f"{plot[u'output-file']}.html" ) except PlotlyError as err: logging.error( f" Finished with error: {repr(err)}".replace(u"\n", u" ") ) return def plot_tsa_name(plot, input_data): """Generate the plot(s) with algorithm: plot_tsa_name specified in the specification file. :param plot: Plot to generate. :param input_data: Data to process. :type plot: pandas.Series :type input_data: InputData """ # Transform the data plot_title = plot.get(u"title", u"") logging.info( f" Creating data set for the {plot.get(u'type', u'')} {plot_title}." ) data = input_data.filter_tests_by_name( plot, params=[u"throughput", u"gbps", u"parent", u"tags", u"type"] ) if data is None: logging.error(u"No data.") return plot_title = plot_title.lower() if u"-gbps" in plot_title: value = u"gbps" h_unit = u"Gbps" multiplier = 1e6 else: value = u"throughput" h_unit = u"Mpps" multiplier = 1.0 y_vals = OrderedDict() for item in plot.get(u"include", tuple()): reg_ex = re.compile(str(item).lower()) for job in data: for build in job: for test_id, test in build.iteritems(): if re.match(reg_ex, str(test_id).lower()): if y_vals.get(test[u"parent"], None) is None: y_vals[test[u"parent"]] = { u"1": list(), u"2": list(), u"4": list() } try: if test[u"type"] not in (u"NDRPDR", u"CPS"): continue if u"-pdr" in plot_title: ttype = u"PDR" elif u"-ndr" in plot_title: ttype = u"NDR" else: continue if u"1C" in test[u"tags"]: y_vals[test[u"parent"]][u"1"].append( test[value][ttype][u"LOWER"] * multiplier ) elif u"2C" in test[u"tags"]: y_vals[test[u"parent"]][u"2"].append( test[value][ttype][u"LOWER"] * multiplier ) elif u"4C" in test[u"tags"]: y_vals[test[u"parent"]][u"4"].append( test[value][ttype][u"LOWER"] * multiplier ) except (KeyError, TypeError): pass if not y_vals: logging.warning(f"No data for the plot {plot.get(u'title', u'')}") return y_1c_max = dict() for test_name, test_vals in y_vals.items(): for key, test_val in test_vals.items(): if test_val: avg_val = sum(test_val) / len(test_val) y_vals[test_name][key] = [avg_val, len(test_val)] ideal = avg_val / (int(key) * 1e6) if test_name not in y_1c_max or ideal > y_1c_max[test_name]: y_1c_max[test_name] = ideal vals = OrderedDict() y_max = list() nic_limit = 0 lnk_limit = 0 pci_limit = 0 for test_name, test_vals in y_vals.items(): try: if test_vals[u"1"][1]: name = re.sub( REGEX_NIC, u"", test_name.replace(u'-ndrpdr', u'').replace(u'2n1l-', u'') ) vals[name] = OrderedDict() y_val_1 = test_vals[u"1"][0] / 1e6 y_val_2 = test_vals[u"2"][0] / 1e6 if test_vals[u"2"][0] \ else None y_val_4 = test_vals[u"4"][0] / 1e6 if test_vals[u"4"][0] \ else None vals[name][u"val"] = [y_val_1, y_val_2, y_val_4] vals[name][u"rel"] = [1.0, None, None] vals[name][u"ideal"] = [ y_1c_max[test_name], y_1c_max[test_name] * 2, y_1c_max[test_name] * 4 ] vals[name][u"diff"] = [ (y_val_1 - y_1c_max[test_name]) * 100 / y_val_1, None, None ] vals[name][u"count"] = [ test_vals[u"1"][1], test_vals[u"2"][1], test_vals[u"4"][1] ] try: val_max = max(vals[name][u"val"]) except ValueError as err: logging.error(repr(err)) continue if val_max: y_max.append(val_max) if y_val_2: vals[name][u"rel"][1] = round(y_val_2 / y_val_1, 2) vals[name][u"diff"][1] = \ (y_val_2 - vals[name][u"ideal"][1]) * 100 / y_val_2 if y_val_4: vals[name][u"rel"][2] = round(y_val_4 / y_val_1, 2) vals[name][u"diff"][2] = \ (y_val_4 - vals[name][u"ideal"][2]) * 100 / y_val_4 except IndexError as err: logging.warning(f"No data for {test_name}") logging.warning(repr(err)) # Limits: if u"x520" in test_name: limit = plot[u"limits"][u"nic"][u"x520"] elif u"x710" in test_name: limit = plot[u"limits"][u"nic"][u"x710"] elif u"xxv710" in test_name: limit = plot[u"limits"][u"nic"][u"xxv710"] elif u"xl710" in test_name: limit = plot[u"limits"][u"nic"][u"xl710"] elif u"x553" in test_name: limit = plot[u"limits"][u"nic"][u"x553"] elif u"cx556a" in test_name: limit = plot[u"limits"][u"nic"][u"cx556a"] else: limit = 0 if limit > nic_limit: nic_limit = limit mul = 2 if u"ge2p" in test_name else 1 if u"10ge" in test_name: limit = plot[u"limits"][u"link"][u"10ge"] * mul elif u"25ge" in test_name: limit = plot[u"limits"][u"link"][u"25ge"] * mul elif u"40ge" in test_name: limit = plot[u"limits"][u"link"][u"40ge"] * mul elif u"100ge" in test_name: limit = plot[u"limits"][u"link"][u"100ge"] * mul else: limit = 0 if limit > lnk_limit: lnk_limit = limit if u"cx556a" in test_name: limit = plot[u"limits"][u"pci"][u"pci-g3-x8"] else: limit = plot[u"limits"][u"pci"][u"pci-g3-x16"] if limit > pci_limit: pci_limit = limit traces = list() annotations = list() x_vals = [1, 2, 4] # Limits: if u"-gbps" not in plot_title and u"-cps-" not in plot_title: nic_limit /= 1e6 lnk_limit /= 1e6 pci_limit /= 1e6 min_limit = min((nic_limit, lnk_limit, pci_limit)) if nic_limit == min_limit: traces.append(plgo.Scatter( x=x_vals, y=[nic_limit, ] * len(x_vals), name=f"NIC: {nic_limit:.2f}Mpps", showlegend=False, mode=u"lines", line=dict( dash=u"dot", color=COLORS[-1], width=1), hoverinfo=u"none" )) annotations.append(dict( x=1, y=nic_limit, xref=u"x", yref=u"y", xanchor=u"left", yanchor=u"bottom", text=f"NIC: {nic_limit:.2f}Mpps", font=dict( size=14, color=COLORS[-1], ), align=u"left", showarrow=False )) y_max.append(nic_limit) elif lnk_limit == min_limit: traces.append(plgo.Scatter( x=x_vals, y=[lnk_limit, ] * len(x_vals), name=f"Link: {lnk_limit:.2f}Mpps", showlegend=False, mode=u"lines", line=dict( dash=u"dot", color=COLORS[-1], width=1), hoverinfo=u"none" )) annotations.append(dict( x=1, y=lnk_limit, xref=u"x", yref=u"y", xanchor=u"left", yanchor=u"bottom", text=f"Link: {lnk_limit:.2f}Mpps", font=dict( size=14, color=COLORS[-1], ), align=u"left", showarrow=False )) y_max.append(lnk_limit) elif pci_limit == min_limit: traces.append(plgo.Scatter( x=x_vals, y=[pci_limit, ] * len(x_vals), name=f"PCIe: {pci_limit:.2f}Mpps", showlegend=False, mode=u"lines", line=dict( dash=u"dot", color=COLORS[-1], width=1), hoverinfo=u"none" )) annotations.append(dict( x=1, y=pci_limit, xref=u"x", yref=u"y", xanchor=u"left", yanchor=u"bottom", text=f"PCIe: {pci_limit:.2f}Mpps", font=dict( size=14, color=COLORS[-1], ), align=u"left", showarrow=False )) y_max.append(pci_limit) # Perfect and measured: cidx = 0 for name, val in vals.items(): hovertext = list() try: for idx in range(len(val[u"val"])): htext = "" if isinstance(val[u"val"][idx], float): htext += ( f"No. of Runs: {val[u'count'][idx]}<br>" f"Mean: {val[u'val'][idx]:.2f}{h_unit}<br>" ) if isinstance(val[u"diff"][idx], float): htext += f"Diff: {round(val[u'diff'][idx]):.0f}%<br>" if isinstance(val[u"rel"][idx], float): htext += f"Speedup: {val[u'rel'][idx]:.2f}" hovertext.append(htext) traces.append( plgo.Scatter( x=x_vals, y=val[u"val"], name=name, legendgroup=name, mode=u"lines+markers", line=dict( color=COLORS[cidx], width=2), marker=dict( symbol=u"circle", size=10 ), text=hovertext, hoverinfo=u"text+name" ) ) traces.append( plgo.Scatter( x=x_vals, y=val[u"ideal"], name=f"{name} perfect", legendgroup=name, showlegend=False, mode=u"lines", line=dict( color=COLORS[cidx], width=2, dash=u"dash"), text=[f"Perfect: {y:.2f}Mpps" for y in val[u"ideal"]], hoverinfo=u"text" ) ) cidx += 1 except (IndexError, ValueError, KeyError) as err: logging.warning(f"No data for {name}\n{repr(err)}") try: # Create plot file_type = plot.get(u"output-file-type", u".html") logging.info(f" Writing file {plot[u'output-file']}{file_type}.") layout = deepcopy(plot[u"layout"]) if layout.get(u"title", None): layout[u"title"] = f"<b>Speedup Multi-core:</b> {layout[u'title']}" layout[u"yaxis"][u"range"] = [0, int(max(y_max) * 1.1)] layout[u"annotations"].extend(annotations) plpl = plgo.Figure(data=traces, layout=layout) # Export Plot ploff.plot( plpl, show_link=False, auto_open=False, filename=f"{plot[u'output-file']}{file_type}" ) except PlotlyError as err: logging.error( f" Finished with error: {repr(err)}".replace(u"\n", u" ") ) return def plot_http_server_perf_box(plot, input_data): """Generate the plot(s) with algorithm: plot_http_server_perf_box specified in the specification file. :param plot: Plot to generate. :param input_data: Data to process. :type plot: pandas.Series :type input_data: InputData """ # Transform the data logging.info( f" Creating the data set for the {plot.get(u'type', u'')} " f"{plot.get(u'title', u'')}." ) data = input_data.filter_data(plot) if data is None: logging.error(u"No data.") return # Prepare the data for the plot y_vals = dict() for job in data: for build in job: for test in build: if y_vals.get(test[u"name"], None) is None: y_vals[test[u"name"]] = list() try: y_vals[test[u"name"]].append(test[u"result"]) except (KeyError, TypeError): y_vals[test[u"name"]].append(None) # Add None to the lists with missing data max_len = 0 nr_of_samples = list() for val in y_vals.values(): if len(val) > max_len: max_len = len(val) nr_of_samples.append(len(val)) for val in y_vals.values(): if len(val) < max_len: val.extend([None for _ in range(max_len - len(val))]) # Add plot traces traces = list() df_y = pd.DataFrame(y_vals) df_y.head() for i, col in enumerate(df_y.columns): name = \ f"{i + 1}. " \ f"({nr_of_samples[i]:02d} " \ f"run{u's' if nr_of_samples[i] > 1 else u''}) " \ f"{col.lower().replace(u'-ndrpdr', u'')}" if len(name) > 50: name_lst = name.split(u'-') name = u"" split_name = True for segment in name_lst: if (len(name) + len(segment) + 1) > 50 and split_name: name += u"<br> " split_name = False name += segment + u'-' name = name[:-1] traces.append(plgo.Box(x=[str(i + 1) + u'.'] * len(df_y[col]), y=df_y[col], name=name, **plot[u"traces"])) try: # Create plot plpl = plgo.Figure(data=traces, layout=plot[u"layout"]) # Export Plot logging.info( f" Writing file {plot[u'output-file']}" f"{plot[u'output-file-type']}." ) ploff.plot( plpl, show_link=False, auto_open=False, filename=f"{plot[u'output-file']}{plot[u'output-file-type']}" ) except PlotlyError as err: logging.error( f" Finished with error: {repr(err)}".replace(u"\n", u" ") ) return def plot_nf_heatmap(plot, input_data): """Generate the plot(s) with algorithm: plot_nf_heatmap specified in the specification file. :param plot: Plot to generate. :param input_data: Data to process. :type plot: pandas.Series :type input_data: InputData """ regex_cn = re.compile(r'^(\d*)R(\d*)C$') regex_test_name = re.compile(r'^.*-(\d+ch|\d+pl)-' r'(\d+mif|\d+vh)-' r'(\d+vm\d+t|\d+dcr\d+t|\d+dcr\d+c).*$') vals = dict() # Transform the data logging.info( f" Creating the data set for the {plot.get(u'type', u'')} " f"{plot.get(u'title', u'')}." ) data = input_data.filter_data(plot, continue_on_error=True) if data is None or data.empty: logging.error(u"No data.") return for job in data: for build in job: for test in build: for tag in test[u"tags"]: groups = re.search(regex_cn, tag) if groups: chain = str(groups.group(1)) node = str(groups.group(2)) break else: continue groups = re.search(regex_test_name, test[u"name"]) if groups and len(groups.groups()) == 3: hover_name = ( f"{str(groups.group(1))}-" f"{str(groups.group(2))}-" f"{str(groups.group(3))}" ) else: hover_name = u"" if vals.get(chain, None) is None: vals[chain] = dict() if vals[chain].get(node, None) is None: vals[chain][node] = dict( name=hover_name, vals=list(), nr=None, mean=None, stdev=None ) try: if plot[u"include-tests"] == u"MRR": result = test[u"result"][u"receive-rate"] elif plot[u"include-tests"] == u"PDR": result = test[u"throughput"][u"PDR"][u"LOWER"] elif plot[u"include-tests"] == u"NDR": result = test[u"throughput"][u"NDR"][u"LOWER"] else: result = None except TypeError: result = None if result: vals[chain][node][u"vals"].append(result) if not vals: logging.error(u"No data.") return txt_chains = list() txt_nodes = list() for key_c in vals: txt_chains.append(key_c) for key_n in vals[key_c].keys(): txt_nodes.append(key_n) if vals[key_c][key_n][u"vals"]: vals[key_c][key_n][u"nr"] = len(vals[key_c][key_n][u"vals"]) vals[key_c][key_n][u"mean"] = \ round(mean(vals[key_c][key_n][u"vals"]) / 1000000, 1) vals[key_c][key_n][u"stdev"] = \ round(stdev(vals[key_c][key_n][u"vals"]) / 1000000, 1) txt_nodes = list(set(txt_nodes)) def sort_by_int(value): """Makes possible to sort a list of strings which represent integers. :param value: Integer as a string. :type value: str :returns: Integer representation of input parameter 'value'. :rtype: int """ return int(value) txt_chains = sorted(txt_chains, key=sort_by_int) txt_nodes = sorted(txt_nodes, key=sort_by_int) chains = [i + 1 for i in range(len(txt_chains))] nodes = [i + 1 for i in range(len(txt_nodes))] data = [list() for _ in range(len(chains))] for chain in chains: for node in nodes: try: val = vals[txt_chains[chain - 1]][txt_nodes[node - 1]][u"mean"] except (KeyError, IndexError): val = None data[chain - 1].append(val) # Color scales: my_green = [[0.0, u"rgb(235, 249, 242)"], [1.0, u"rgb(45, 134, 89)"]] my_blue = [[0.0, u"rgb(236, 242, 248)"], [1.0, u"rgb(57, 115, 172)"]] my_grey = [[0.0, u"rgb(230, 230, 230)"], [1.0, u"rgb(102, 102, 102)"]] hovertext = list() annotations = list() text = (u"Test: {name}<br>" u"Runs: {nr}<br>" u"Thput: {val}<br>" u"StDev: {stdev}") for chain, _ in enumerate(txt_chains): hover_line = list() for node, _ in enumerate(txt_nodes): if data[chain][node] is not None: annotations.append( dict( x=node+1, y=chain+1, xref=u"x", yref=u"y", xanchor=u"center", yanchor=u"middle", text=str(data[chain][node]), font=dict( size=14, ), align=u"center", showarrow=False ) ) hover_line.append(text.format( name=vals[txt_chains[chain]][txt_nodes[node]][u"name"], nr=vals[txt_chains[chain]][txt_nodes[node]][u"nr"], val=data[chain][node], stdev=vals[txt_chains[chain]][txt_nodes[node]][u"stdev"])) hovertext.append(hover_line) traces = [ plgo.Heatmap( x=nodes, y=chains, z=data, colorbar=dict( title=plot.get(u"z-axis", u""), titleside=u"right", titlefont=dict( size=16 ), tickfont=dict( size=16, ), tickformat=u".1f", yanchor=u"bottom", y=-0.02, len=0.925, ), showscale=True, colorscale=my_green, text=hovertext, hoverinfo=u"text" ) ] for idx, item in enumerate(txt_nodes): # X-axis, numbers: annotations.append( dict( x=idx+1, y=0.05, xref=u"x", yref=u"y", xanchor=u"center", yanchor=u"top", text=item, font=dict( size=16, ), align=u"center", showarrow=False ) ) for idx, item in enumerate(txt_chains): # Y-axis, numbers: annotations.append( dict( x=0.35, y=idx+1, xref=u"x", yref=u"y", xanchor=u"right", yanchor=u"middle", text=item, font=dict( size=16, ), align=u"center", showarrow=False ) ) # X-axis, title: annotations.append( dict( x=0.55, y=-0.15, xref=u"paper", yref=u"y", xanchor=u"center", yanchor=u"bottom", text=plot.get(u"x-axis", u""), font=dict( size=16, ), align=u"center", showarrow=False ) ) # Y-axis, title: annotations.append( dict( x=-0.1, y=0.5, xref=u"x", yref=u"paper", xanchor=u"center", yanchor=u"middle", text=plot.get(u"y-axis", u""), font=dict( size=16, ), align=u"center", textangle=270, showarrow=False ) ) updatemenus = list([ dict( x=1.0, y=0.0, xanchor=u"right", yanchor=u"bottom", direction=u"up", buttons=list([ dict( args=[ { u"colorscale": [my_green, ], u"reversescale": False } ], label=u"Green", method=u"update" ), dict( args=[ { u"colorscale": [my_blue, ], u"reversescale": False } ], label=u"Blue", method=u"update" ), dict( args=[ { u"colorscale": [my_grey, ], u"reversescale": False } ], label=u"Grey", method=u"update" ) ]) ) ]) try: layout = deepcopy(plot[u"layout"]) except KeyError as err: logging.error(f"Finished with error: No layout defined\n{repr(err)}") return layout[u"annotations"] = annotations layout[u'updatemenus'] = updatemenus try: # Create plot plpl = plgo.Figure(data=traces, layout=layout) # Export Plot logging.info(f" Writing file {plot[u'output-file']}.html") ploff.plot( plpl, show_link=False, auto_open=False, filename=f"{plot[u'output-file']}.html" ) except PlotlyError as err: logging.error( f" Finished with error: {repr(err)}".replace(u"\n", u" ") ) return