tracetools_analysis/tracetools_analysis/analysis/lifecycle_states.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Lifecycle node states\n",
"#\n",
"# Get trace data using the provided launch file:\n",
"# $ ros2 launch tracetools_analysis lifecycle_states.launch.py"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"path = '~/.ros/tracing/lifecycle-node-state/'"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"# Add paths to tracetools_analysis and tracetools_read.\n",
"# There are two options:\n",
"# 1. from source, assuming a workspace with:\n",
"# src/tracetools_analysis/\n",
"# src/ros-tracing/ros2_tracing/tracetools_read/\n",
"sys.path.insert(0, '../')\n",
"sys.path.insert(0, '../../../ros-tracing/ros2_tracing/tracetools_read/')\n",
"# 2. from Debian packages, setting the right ROS 2 distro:\n",
"#ROS_DISTRO = 'rolling'\n",
"#sys.path.insert(0, f'/opt/ros/{ROS_DISTRO}/lib/python3.8/site-packages')\n",
"import datetime as dt\n",
"\n",
"from bokeh.palettes import Category10\n",
"from bokeh.plotting import figure\n",
"from bokeh.plotting import output_notebook\n",
"from bokeh.io import show\n",
"from bokeh.layouts import row\n",
"from bokeh.models import ColumnDataSource\n",
"from bokeh.models import DatetimeTickFormatter\n",
"from bokeh.models import PrintfTickFormatter\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"from tracetools_analysis.loading import load_file\n",
"from tracetools_analysis.processor.ros2 import Ros2Handler\n",
"from tracetools_analysis.utils.ros2 import Ros2DataModelUtil"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Process\n",
"events = load_file(path)\n",
"handler = Ros2Handler.process(events)\n",
"#handler.data.print_data()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"data_util = Ros2DataModelUtil(handler.data)\n",
"\n",
"state_intervals = data_util.get_lifecycle_node_state_intervals()\n",
"for handle, states in state_intervals.items():\n",
" print(handle)\n",
" print(states.to_string())\n",
"\n",
"output_notebook()\n",
"psize = 450"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Plot\n",
"colors = Category10[10]\n",
"\n",
"lifecycle_node_names = {\n",
" handle: data_util.get_lifecycle_node_handle_info(handle)['lifecycle node'] for handle in state_intervals.keys()\n",
"}\n",
"states_labels = []\n",
"start_times = []\n",
"\n",
"fig = figure(\n",
" y_range=list(lifecycle_node_names.values()),\n",
" title='Lifecycle states over time',\n",
" y_axis_label='node',\n",
" plot_width=psize*2, plot_height=psize,\n",
")\n",
"\n",
"for lifecycle_node_handle, states in state_intervals.items():\n",
" lifecycle_node_name = lifecycle_node_names[lifecycle_node_handle]\n",
"\n",
" start_times.append(states['start_timestamp'].iloc[0])\n",
" for index, row in states.iterrows():\n",
" # TODO fix end\n",
" if index == max(states.index):\n",
" continue\n",
" start = row['start_timestamp']\n",
" end = row['end_timestamp']\n",
" state = row['state']\n",
" if state not in states_labels:\n",
" states_labels.append(state)\n",
" state_index = states_labels.index(state)\n",
" fig.line(\n",
" x=[start, end],\n",
" y=[lifecycle_node_name]*2,\n",
" line_width=10.0,\n",
" line_color=colors[state_index],\n",
" legend_label=state,\n",
" )\n",
"\n",
"fig.title.align = 'center'\n",
"fig.xaxis[0].formatter = DatetimeTickFormatter(seconds=['%Ss'])\n",
"fig.xaxis[0].axis_label = 'time (' + min(start_times).strftime('%Y-%m-%d %H:%M') + ')'\n",
"show(fig)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
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