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tracetools_analysis/analysis/Callback_duration.ipynb

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Extract tracetools_trace from tracetools_analysis
2019-06-06 09:28:25 +02:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/boc7rng/ros2_ws/src/trace_analysis\n"
]
}
],
"source": [
"cd .."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"import pickle\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"from tracetools_analysis.analysis.ros_processor import *\n",
"from tracetools_analysis.analysis.to_pandas import *"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def _get_events_from_pickled_file(file):\n",
" p = pickle.Unpickler(file)\n",
" events = []\n",
" while True:\n",
" try:\n",
" events.append(p.load())\n",
" except EOFError as _:\n",
" break # we're done\n",
" return events"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"imported 538 events\n",
" callback_address duration start_timestamp\n",
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]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"unhandled event name: ros2:rcl_publisher_init\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_publisher_init\n",
"unhandled event name: ros2:rcl_publisher_init\n",
"unhandled event name: ros2:rcl_publisher_init\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_publisher_init\n",
"unhandled event name: ros2:rcl_publisher_init\n",
"unhandled event name: ros2:rcl_publisher_init\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_service_init\n",
"unhandled event name: ros2:rclcpp_service_callback_added\n",
"unhandled event name: ros2:rcl_publisher_init\n"
]
}
],
"source": [
"pickle_filename = '../../the-pickle-file'\n",
"with open(pickle_filename, 'rb') as f:\n",
" events = _get_events_from_pickled_file(f)\n",
" print(f'imported {len(events)} events')\n",
" processor = ros_process(events)\n",
"\n",
"df = callback_durations_to_df(processor)\n",
"print(df.to_string())"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# Get a list of callback addresses\n",
"callback_addresses = set(df['callback_address'])\n",
"# Split df\n",
"durations = {}\n",
"for addr in callback_addresses:\n",
" durations[addr] = df.loc[df.loc[:, 'callback_address'] == addr, :]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff7de353a90>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7ff7de3bef98>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff7de2a0198>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"for addr, duration in durations.items():\n",
" ax = duration.plot(x='start_timestamp', y='duration')\n",
" ax.legend([str(addr)])\n",
" ax.set_xlabel('start timestamp')\n",
" ax.set_ylabel('duration (ns)')\n",
" plt.title('Callback durations over time')\n",
" plt.grid()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff7de1eaba8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7ff7de1eaf98>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEICAYAAABPgw/pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4xLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvAOZPmwAAFRpJREFUeJzt3X+Q3Hd93/HnOxbGjs+xJBtfhezkTFHdOGgQ1o1jQofe4do1iMRuahI7niBTJ5omgdKpmFaUmY6bJlORjknINBNQYoLKEM6OA5UHh4Cr+MrAgEECY9kxRsYjwLIixSALn+OUCN79Yz+XrE+32t273du9zz0fMzf7/X72893v+/vWVy/tffeHIjORJC1/PzToAiRJvWGgS1IlDHRJqoSBLkmVMNAlqRIGuiRVwkDXshQRH4yI31iifd0cEZ9ain1Ji2GgS00iYiwiMiJWzY5l5ocz85pB1iV1wkDXihIRZwy6BqlfDHQtCxHxqoj4UkQ8GxF3AmeV8Vsi4jNz5mZEvLwsfzAifj8i/iwingMmI2JLRHw5Ir4bEd+KiNuaNv90uX0mImYi4tVz9xERPxURX4yIE+X2p5rum46I/xYRny21fioiLuhTW6QXMNA19CLiTOB/Ax8C1gJ/AvzrLh7iF4DfBM4FPgM8B7wZWA1sAX4lIq4vc19bbldn5khmfm5OLWuBe4HfBc4H3gPcGxHnz9nfW4ALgTOBd3RRq7RgBrqWgyuBFwG/k5l/l5l3A1/sYvs9mfnZzPxBZv5tZk5n5oGy/hDwEeCfd/hYW4CDmfmhzDyZmR8Bvgr8dNOcP8rMr2Xm88BdwKYuapUWzEDXcvBS4HC+8JvkvtHF9t9qXomIn4yI+yPiryPiBPBvgU4vi7x0nn1/A1jftP5XTct/A4x0Uau0YAa6loMjwPqIiKaxHy23zwE/PDsYEf9onu3nfqXoHwP3ABdn5nnA+4BoMXeup4AfmzP2o8DhNttJfWegazn4HHAS+HcRsSoifha4otz3FeAnImJTRJwF3NbB450LfCcz/zYirqBxzXvWXwM/AF7WYts/A/5JRPxCqeXngcuAj3d9VFKPGegaepn5PeBngVuA48DPAx8t930N+HXg/wAHabzo2c6vAr8eEc8C/4XGde7Zff0NjRdQPxsRz0TElXNq+TbwRmA78G3gPwJvzMynF3GIUk+E/8GFJNXBZ+iSVAkDXZIqYaBLUiUMdEmqxKr2U3rnggsuyLGxsaXcZUvPPfcc55xzzqDLGCh70GAf7MGsYe3D/v37n87Ml7Sb1zbQI+JS4M6moZfReKvX/yrjY8Ah4Ocy8/jpHmtsbIx9+/a12+WSmJ6eZmJiYtBlDJQ9aLAP9mDWsPYhIjr6ZHTbSy6Z+VhmbsrMTcBmGh9l/hiwA9ibmRuAvWVdkjQg3V5Dvwr4emZ+A7gO2F3GdwPXt9xKktR33Qb6jTS+mQ5gNDOPAJTbC3tZmCSpOx1/UrR8J/VTwE9k5tGIeCYzVzfdfzwz18yz3TZgG8Do6Ojmqamp3lS+SDMzM4yMrOwvwbMHDfbBHswa1j5MTk7uz8zxdvO6eZfL64EvZebRsn40ItZl5pGIWAccm2+jzNwF7AIYHx/PYXnBYVhf/FhK9qDBPtiDWcu9D91ccrmJf7jcAo2vH91alrcCe3pVlCSpex0FekT8MHA15Rvuip3A1RFxsNy3s/flSZI61dEll/KVoufPGfs2jXe9SJKGgB/9l6RKLOlH/9WdsR339vXxt288yS3z7OPQzi193a+k/vAZuiRVwkCXpEoY6JJUCQNdkiphoEtSJQx0SaqEgS5JlTDQJakSBrokVcJAl6RKGOiSVAkDXZIqYaBLUiUMdEmqhIEuSZUw0CWpEga6JFXCQJekShjoklQJA12SKtFRoEfE6oi4OyK+GhGPRsSrI2JtRNwXEQfL7Zp+FytJaq3TZ+jvBf48M/8p8ErgUWAHsDczNwB7y7okaUDaBnpE/AjwWuAOgMz8XmY+A1wH7C7TdgPX96tISVJ7kZmnnxCxCdgF/CWNZ+f7gbcDhzNzddO845l5ymWXiNgGbAMYHR3dPDU11bvqF2FmZoaRkZFBl3FaBw6f6Ovjj54NR58/dXzj+vP6ut9hsxzOhX6zBw3D2ofJycn9mTnebl4ngT4OfB54TWY+EBHvBb4LvK2TQG82Pj6e+/bt6+gA+m16epqJiYlBl3FaYzvu7evjb994ktsPrDpl/NDOLX3d77BZDudCv9mDhmHtQ0R0FOidXEN/EngyMx8o63cDlwNHI2Jd2dk64NhCi5UkLV7bQM/MvwK+FRGXlqGraFx+uQfYWsa2Anv6UqEkqSOn/r49v7cBH46IM4EngLfQ+Mfgroi4Ffgm8Kb+lChJ6kRHgZ6ZDwLzXb+5qrflSJIWyk+KSlIlDHRJqoSBLkmVMNAlqRIGuiRVwkCXpEoY6JJUCQNdkiphoEtSJQx0SaqEgS5JlTDQJakSBrokVcJAl6RKGOiSVAkDXZIqYaBLUiUMdEmqhIEuSZUw0CWpEga6JFViVSeTIuIQ8CzwfeBkZo5HxFrgTmAMOAT8XGYe70+ZkqR2unmGPpmZmzJzvKzvAPZm5gZgb1mXJA3IYi65XAfsLsu7gesXX44kaaE6DfQEPhUR+yNiWxkbzcwjAOX2wn4UKEnqTGRm+0kRL83MpyLiQuA+4G3APZm5umnO8cxcM8+224BtAKOjo5unpqZ6VvxizMzMMDIyMugyTuvA4RN9ffzRs+Ho86eOb1x/Xl/3O2yWw7nQb/agYVj7MDk5ub/pcndLHQX6CzaIuA2YAX4ZmMjMIxGxDpjOzEtPt+34+Hju27evq/31y/T0NBMTE4Mu47TGdtzb18ffvvEktx849XXxQzu39HW/w2Y5nAv9Zg8ahrUPEdFRoLe95BIR50TEubPLwDXAw8A9wNYybSuwZ+HlSpIWq5O3LY4CH4uI2fl/nJl/HhFfBO6KiFuBbwJv6l+ZkqR22gZ6Zj4BvHKe8W8DV/WjKElS9/ykqCRVwkCXpEoY6JJUCQNdkiphoEtSJQx0SaqEgS5JlTDQJakSBrokVcJAl6RKGOiSVAkDXZIqYaBLUiUMdEmqhIEuSZUw0CWpEga6JFXCQJekShjoklQJA12SKmGgS1IlDHRJqkTHgR4RZ0TElyPi42X9koh4ICIORsSdEXFm/8qUJLXTzTP0twOPNq2/G/jtzNwAHAdu7WVhkqTudBToEXERsAX4w7IewOuAu8uU3cD1/ShQktSZyMz2kyLuBv47cC7wDuAW4POZ+fJy/8XAJzLzFfNsuw3YBjA6Orp5amqqZ8UvxszMDCMjI4Mu47QOHD7R18cfPRuOPn/q+Mb15/V1v8NmOZwL/WYPGoa1D5OTk/szc7zdvFXtJkTEG4Fjmbk/IiZmh+eZOu+/DJm5C9gFMD4+nhMTE/NNW3LT09MMSy2t3LLj3r4+/vaNJ7n9wKmnwKGbJ/q632GzHM6FfrMHDcu9D20DHXgN8DMR8QbgLOBHgN8BVkfEqsw8CVwEPNW/MiVJ7bS9hp6Z78zMizJzDLgR+IvMvBm4H7ihTNsK7OlblZKkthbzPvT/BPyHiHgcOB+4ozclSZIWopNLLn8vM6eB6bL8BHBF70uSJC2EnxSVpEoY6JJUCQNdkiphoEtSJQx0SaqEgS5JlTDQJakSBrokVcJAl6RKGOiSVAkDXZIqYaBLUiUMdEmqhIEuSZUw0CWpEga6JFXCQJekShjoklQJA12SKmGgS1IlDHRJqkTbQI+IsyLiCxHxlYh4JCL+axm/JCIeiIiDEXFnRJzZ/3IlSa108gz9/wGvy8xXApuAayPiSuDdwG9n5gbgOHBr/8qUJLXTNtCzYaasvqj8JPA64O4yvhu4vi8VSpI6EpnZflLEGcB+4OXA7wH/A/h8Zr683H8x8InMfMU8224DtgGMjo5unpqaWlChBw6fWNB2rYyeDUefbz9v4/rzerrfbvT6mOdq1YNBHvMgzMzMMDIyMugyBsoeNAxrHyYnJ/dn5ni7eas6ebDM/D6wKSJ
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff7ddfa20f0>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"for addr, duration in durations.items():\n",
" duration.hist(column='duration')"
]
},
{
"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": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Reference in a new issue Copy permalink