{
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"source": [
"import trappy\n",
"from trappy import ftrace\n",
"from trappy.ftrace import GenericFTrace\n",
"import numpy as np\n",
"import pandas"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
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"source": [
"lines = [\n",
"\" adbd-5709 [007] 2943.184105: sched_contrib_scale_f: cpu=7 cpu_scale_factor=1\\n\"\n",
"\" adbd-5709 [007] 2943.184105: sched_load_avg_cpu: cpu=7 util_avg=825\\n\"\n",
"\" ->transport-5713 [006] 2943.184106: sched_load_avg_cpu: cpu=6 util_avg=292\\n\"\n",
"\" ->transport-5713 [006] 2943.184107: sched_contrib_scale_f: cpu=6 cpu_scale_factor=2\\n\"\n",
"\" adbd-5709 [007] 2943.184108: sched_load_avg_cpu: cpu=7 util_avg=850\\n\"\n",
"\" adbd-5709 [007] 2943.184109: sched_contrib_scale_f: cpu=7 cpu_scale_factor=3\\n\"\n",
"\" adbd-5709 [007] 2943.184110: sched_load_avg_cpu: cpu=6 util_avg=315\\n\"\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"with open('/tmp/trappy_mergedf_example.txt', 'w') as fh:\n",
" for line in lines:\n",
" fh.write(line)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" adbd-5709 [007] 2943.184105: sched_contrib_scale_f: cpu=7 cpu_scale_factor=1\r\n",
" adbd-5709 [007] 2943.184105: sched_load_avg_cpu: cpu=7 util_avg=825\r\n",
" ->transport-5713 [006] 2943.184106: sched_load_avg_cpu: cpu=6 util_avg=292\r\n",
" ->transport-5713 [006] 2943.184107: sched_contrib_scale_f: cpu=6 cpu_scale_factor=2\r\n",
" adbd-5709 [007] 2943.184108: sched_load_avg_cpu: cpu=7 util_avg=850\r\n",
" adbd-5709 [007] 2943.184109: sched_contrib_scale_f: cpu=7 cpu_scale_factor=3\r\n",
" adbd-5709 [007] 2943.184110: sched_load_avg_cpu: cpu=6 util_avg=315\r\n"
]
}
],
"source": [
"!cat /tmp/trappy_mergedf_example.txt"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"trace = ftrace.FTrace('/tmp/trappy_mergedf_example.txt', events=['sched_contrib_scale_f', 'sched_load_avg_cpu'], normalize_time=False)"
]
},
{
"cell_type": "code",
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"metadata": {
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" cpu util_avg __line\n",
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"source": [
"df1 = trace.sched_load_avg_cpu.data_frame[['cpu', 'util_avg', '__line']]\n",
"df1"
]
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{
"cell_type": "code",
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"metadata": {
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" cpu cpu_scale_factor __line\n",
"Time \n",
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"execution_count": 7,
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"source": [
"df2 = trace.sched_contrib_scale_f.data_frame[['cpu', 'cpu_scale_factor', '__line']]\n",
"df2"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
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"text": [
"/home/joelaf/repo/lisa-aosp/external/trappy/trappy/utils.py:154: FutureWarning: sort(columns=....) is deprecated, use sort_values(by=.....)\n",
" df = pd.concat([pr_df, sec_df], keys=['primary', 'secondary']).sort(columns='__line')\n"
]
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" __line cpu cpu_scale_factor util_avg\n",
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"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trappy.utils.merge_dfs(df1, df2, 'cpu')"
]
},
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