Javi Merino | 491cf73 | 2014-03-31 17:34:44 +0100 | [diff] [blame] | 1 | #!/usr/bin/python |
Javi Merino | 5bd3d44 | 2014-04-08 12:55:13 +0100 | [diff] [blame] | 2 | """Process the output of the power allocator trace in the current |
| 3 | directory's trace.dat""" |
Javi Merino | 572049d | 2014-03-31 16:45:23 +0100 | [diff] [blame] | 4 | |
| 5 | import os |
Javi Merino | ee56c36 | 2014-03-31 17:30:34 +0100 | [diff] [blame] | 6 | import re |
Javi Merino | 952815a | 2014-03-31 18:08:32 +0100 | [diff] [blame] | 7 | from StringIO import StringIO |
Javi Merino | f78ea5b | 2014-03-31 17:51:38 +0100 | [diff] [blame] | 8 | import pandas as pd |
Javi Merino | a6399fb | 2014-03-31 19:17:08 +0100 | [diff] [blame] | 9 | from matplotlib import pyplot as plt |
Javi Merino | 572049d | 2014-03-31 16:45:23 +0100 | [diff] [blame] | 10 | |
Javi Merino | 7f3c8a6 | 2014-06-13 11:38:58 +0100 | [diff] [blame] | 11 | from plot_utils import set_plot_size, normalize_title, default_plot_settings |
Javi Merino | 51db363 | 2014-06-13 11:24:51 +0100 | [diff] [blame] | 12 | |
Javi Merino | c2ec568 | 2014-04-01 15:16:06 +0100 | [diff] [blame] | 13 | class BaseThermal(object): |
Javi Merino | 5bd3d44 | 2014-04-08 12:55:13 +0100 | [diff] [blame] | 14 | """Base class to parse trace.dat dumps. |
| 15 | |
| 16 | Don't use directly, create a subclass that defines the unique_word |
| 17 | you want to match in the output""" |
Javi Merino | 6846155 | 2014-04-08 11:40:09 +0100 | [diff] [blame] | 18 | def __init__(self, basepath, unique_word): |
| 19 | if basepath is None: |
| 20 | basepath = "." |
Javi Merino | c2ec568 | 2014-04-01 15:16:06 +0100 | [diff] [blame] | 21 | |
Javi Merino | 6846155 | 2014-04-08 11:40:09 +0100 | [diff] [blame] | 22 | self.basepath = basepath |
Javi Merino | 952815a | 2014-03-31 18:08:32 +0100 | [diff] [blame] | 23 | self.data_csv = "" |
Javi Merino | f78ea5b | 2014-03-31 17:51:38 +0100 | [diff] [blame] | 24 | self.data_frame = False |
Javi Merino | 6846155 | 2014-04-08 11:40:09 +0100 | [diff] [blame] | 25 | self.unique_word = unique_word |
Javi Merino | a2c990a | 2014-06-10 15:33:49 +0100 | [diff] [blame] | 26 | self.ax = None |
Javi Merino | 6846155 | 2014-04-08 11:40:09 +0100 | [diff] [blame] | 27 | |
| 28 | if not os.path.isfile(os.path.join(basepath, "trace.txt")): |
| 29 | self.__run_trace_cmd_report() |
Javi Merino | 572049d | 2014-03-31 16:45:23 +0100 | [diff] [blame] | 30 | |
Javi Merino | 572049d | 2014-03-31 16:45:23 +0100 | [diff] [blame] | 31 | def __run_trace_cmd_report(self): |
Javi Merino | 5bd3d44 | 2014-04-08 12:55:13 +0100 | [diff] [blame] | 32 | """Run "trace-cmd report > trace.txt". |
| 33 | |
| 34 | Overwrites the contents of trace.txt if it exists.""" |
Javi Merino | ee56c36 | 2014-03-31 17:30:34 +0100 | [diff] [blame] | 35 | from subprocess import check_output |
| 36 | |
Javi Merino | 6846155 | 2014-04-08 11:40:09 +0100 | [diff] [blame] | 37 | if not os.path.isfile(os.path.join(self.basepath, "trace.dat")): |
Javi Merino | 1a3725a | 2014-03-31 18:35:15 +0100 | [diff] [blame] | 38 | raise IOError("No such file or directory: trace.dat") |
| 39 | |
Javi Merino | 6846155 | 2014-04-08 11:40:09 +0100 | [diff] [blame] | 40 | previous_path = os.getcwd() |
| 41 | os.chdir(self.basepath) |
Javi Merino | 572049d | 2014-03-31 16:45:23 +0100 | [diff] [blame] | 42 | |
Javi Merino | 6846155 | 2014-04-08 11:40:09 +0100 | [diff] [blame] | 43 | # This would better be done with a context manager (i.e. |
| 44 | # http://stackoverflow.com/a/13197763/970766) |
| 45 | try: |
| 46 | with open(os.devnull) as devnull: |
| 47 | out = check_output(["trace-cmd", "report"], stderr=devnull) |
| 48 | |
| 49 | finally: |
| 50 | os.chdir(previous_path) |
| 51 | |
Javi Merino | 5bd3d44 | 2014-04-08 12:55:13 +0100 | [diff] [blame] | 52 | with open(os.path.join(self.basepath, "trace.txt"), "w") as fout: |
| 53 | fout.write(out) |
Javi Merino | c08ca68 | 2014-03-31 17:29:27 +0100 | [diff] [blame] | 54 | |
Javi Merino | c2ec568 | 2014-04-01 15:16:06 +0100 | [diff] [blame] | 55 | def parse_into_csv(self): |
Javi Merino | 5bd3d44 | 2014-04-08 12:55:13 +0100 | [diff] [blame] | 56 | """Create a csv representation of the thermal data and store |
| 57 | it in self.data_csv""" |
Javi Merino | c08ca68 | 2014-03-31 17:29:27 +0100 | [diff] [blame] | 58 | pat_timestamp = re.compile(r"([0-9]+\.[0-9]+):") |
Javi Merino | 0e83b61 | 2014-06-05 11:45:23 +0100 | [diff] [blame] | 59 | pat_data = re.compile(r"[A-Za-z0-9_]+=([^ ]+)") |
| 60 | pat_header = re.compile(r"([A-Za-z0-9_]+)=[^ ]+") |
Javi Merino | c08ca68 | 2014-03-31 17:29:27 +0100 | [diff] [blame] | 61 | header = "" |
| 62 | |
Javi Merino | 6846155 | 2014-04-08 11:40:09 +0100 | [diff] [blame] | 63 | with open(os.path.join(self.basepath, "trace.txt")) as fin: |
Javi Merino | 952815a | 2014-03-31 18:08:32 +0100 | [diff] [blame] | 64 | for line in fin: |
Javi Merino | c2ec568 | 2014-04-01 15:16:06 +0100 | [diff] [blame] | 65 | if not re.search(self.unique_word, line): |
Javi Merino | 952815a | 2014-03-31 18:08:32 +0100 | [diff] [blame] | 66 | continue |
| 67 | |
| 68 | line = line[:-1] |
| 69 | |
Javi Merino | 5bd3d44 | 2014-04-08 12:55:13 +0100 | [diff] [blame] | 70 | timestamp_match = re.search(pat_timestamp, line) |
| 71 | timestamp = timestamp_match.group(1) |
Javi Merino | 952815a | 2014-03-31 18:08:32 +0100 | [diff] [blame] | 72 | |
Javi Merino | c2ec568 | 2014-04-01 15:16:06 +0100 | [diff] [blame] | 73 | data_start_idx = re.search(r"[A-Za-z0-9_]+=", line).start() |
| 74 | data_str = line[data_start_idx:] |
Javi Merino | 952815a | 2014-03-31 18:08:32 +0100 | [diff] [blame] | 75 | |
| 76 | if not header: |
Javi Merino | 0af4721 | 2014-04-02 16:23:23 +0100 | [diff] [blame] | 77 | header = re.sub(pat_header, r"\1", data_str) |
| 78 | header = re.sub(r" ", r",", header) |
Javi Merino | 952815a | 2014-03-31 18:08:32 +0100 | [diff] [blame] | 79 | header = "time," + header + "\n" |
| 80 | self.data_csv = header |
| 81 | |
Javi Merino | 0af4721 | 2014-04-02 16:23:23 +0100 | [diff] [blame] | 82 | parsed_data = re.sub(pat_data, r"\1", data_str) |
| 83 | parsed_data = re.sub(r" ", r",", parsed_data) |
Javi Merino | 952815a | 2014-03-31 18:08:32 +0100 | [diff] [blame] | 84 | |
| 85 | parsed_data = timestamp + "," + parsed_data + "\n" |
| 86 | self.data_csv += parsed_data |
| 87 | |
Javi Merino | f78ea5b | 2014-03-31 17:51:38 +0100 | [diff] [blame] | 88 | def get_data_frame(self): |
| 89 | """Return a pandas data frame for the run""" |
Javi Merino | 92f1a6d | 2014-04-10 16:30:36 +0100 | [diff] [blame] | 90 | if self.data_frame is None: |
Javi Merino | f78ea5b | 2014-03-31 17:51:38 +0100 | [diff] [blame] | 91 | return self.data_frame |
| 92 | |
Javi Merino | 952815a | 2014-03-31 18:08:32 +0100 | [diff] [blame] | 93 | if not self.data_csv: |
Javi Merino | c2ec568 | 2014-04-01 15:16:06 +0100 | [diff] [blame] | 94 | self.parse_into_csv() |
Javi Merino | f78ea5b | 2014-03-31 17:51:38 +0100 | [diff] [blame] | 95 | |
Javi Merino | f0f51ff | 2014-04-10 12:34:53 +0100 | [diff] [blame] | 96 | if self.data_csv is "": |
| 97 | return pd.DataFrame() |
| 98 | |
| 99 | unordered_df = pd.read_csv(StringIO(self.data_csv)) |
| 100 | self.data_frame = unordered_df.set_index("time") |
Javi Merino | 04f2749 | 2014-04-02 09:59:23 +0100 | [diff] [blame] | 101 | |
Javi Merino | f78ea5b | 2014-03-31 17:51:38 +0100 | [diff] [blame] | 102 | return self.data_frame |
Javi Merino | df8316a | 2014-03-31 18:39:42 +0100 | [diff] [blame] | 103 | |
Javi Merino | 4402e31 | 2014-06-17 17:21:20 +0100 | [diff] [blame] | 104 | def init_fig(self, width=None, height=None): |
Javi Merino | a2c990a | 2014-06-10 15:33:49 +0100 | [diff] [blame] | 105 | """initialize a figure |
Javi Merino | fb2e8fd | 2014-04-08 12:27:38 +0100 | [diff] [blame] | 106 | |
Javi Merino | a2c990a | 2014-06-10 15:33:49 +0100 | [diff] [blame] | 107 | width and height are numbers, ylim is a tuple with min and max values |
| 108 | for the y axis""" |
| 109 | set_plot_size(width, height) |
Javi Merino | fb2e8fd | 2014-04-08 12:27:38 +0100 | [diff] [blame] | 110 | |
Javi Merino | a2c990a | 2014-06-10 15:33:49 +0100 | [diff] [blame] | 111 | _, self.ax = plt.subplots() |
| 112 | |
Javi Merino | 51db363 | 2014-06-13 11:24:51 +0100 | [diff] [blame] | 113 | def plot_multivalue(self, values, title, width, height): |
| 114 | """Plot multiple values of the DataFrame |
Javi Merino | 05983ef | 2014-04-08 12:54:20 +0100 | [diff] [blame] | 115 | |
Javi Merino | 51db363 | 2014-06-13 11:24:51 +0100 | [diff] [blame] | 116 | values is an array with the keys of the DataFrame to plot |
| 117 | """ |
Javi Merino | c0e104d | 2014-06-17 17:31:13 +0100 | [diff] [blame] | 118 | |
| 119 | self.init_fig(width, height) |
| 120 | |
Javi Merino | 51db363 | 2014-06-13 11:24:51 +0100 | [diff] [blame] | 121 | dfr = self.get_data_frame() |
Javi Merino | c0e104d | 2014-06-17 17:31:13 +0100 | [diff] [blame] | 122 | dfr[values].plot(ax=self.ax) |
Javi Merino | 4402e31 | 2014-06-17 17:21:20 +0100 | [diff] [blame] | 123 | default_plot_settings(self.ax, title=title) |
Javi Merino | 7a7cd70 | 2014-04-14 15:41:15 +0100 | [diff] [blame] | 124 | |
Javi Merino | 0e83b61 | 2014-06-05 11:45:23 +0100 | [diff] [blame] | 125 | class Thermal(BaseThermal): |
| 126 | """Process the thermal framework data in a ftrace dump""" |
| 127 | def __init__(self, path=None): |
| 128 | super(Thermal, self).__init__( |
| 129 | basepath=path, |
| 130 | unique_word="thermal_zone=", |
| 131 | ) |
| 132 | |
Javi Merino | a2c990a | 2014-06-10 15:33:49 +0100 | [diff] [blame] | 133 | def plot_temperature(self, title="", width=None, height=None, ylim=None): |
Javi Merino | c68737a | 2014-06-10 15:21:59 +0100 | [diff] [blame] | 134 | """Plot the temperature""" |
| 135 | dfr = self.get_data_frame() |
| 136 | title = normalize_title("Temperature", title) |
| 137 | |
Javi Merino | 4402e31 | 2014-06-17 17:21:20 +0100 | [diff] [blame] | 138 | self.init_fig(width, height) |
Javi Merino | c68737a | 2014-06-10 15:21:59 +0100 | [diff] [blame] | 139 | |
Javi Merino | a2c990a | 2014-06-10 15:33:49 +0100 | [diff] [blame] | 140 | (dfr["temp"] / 1000).plot(ax=self.ax) |
Javi Merino | c68737a | 2014-06-10 15:21:59 +0100 | [diff] [blame] | 141 | |
Javi Merino | 4402e31 | 2014-06-17 17:21:20 +0100 | [diff] [blame] | 142 | default_plot_settings(self.ax, title=title, ylim=ylim) |
Javi Merino | c68737a | 2014-06-10 15:21:59 +0100 | [diff] [blame] | 143 | plt.legend() |
| 144 | |
Javi Merino | 1e69e2c | 2014-06-04 18:25:09 +0100 | [diff] [blame] | 145 | class ThermalGovernor(BaseThermal): |
Javi Merino | 5bd3d44 | 2014-04-08 12:55:13 +0100 | [diff] [blame] | 146 | """Process the power allocator data in a ftrace dump""" |
Javi Merino | 6846155 | 2014-04-08 11:40:09 +0100 | [diff] [blame] | 147 | def __init__(self, path=None): |
Javi Merino | 1e69e2c | 2014-06-04 18:25:09 +0100 | [diff] [blame] | 148 | super(ThermalGovernor, self).__init__( |
Javi Merino | 6846155 | 2014-04-08 11:40:09 +0100 | [diff] [blame] | 149 | basepath=path, |
| 150 | unique_word="Ptot_out", |
Javi Merino | c2ec568 | 2014-04-01 15:16:06 +0100 | [diff] [blame] | 151 | ) |
| 152 | |
| 153 | def write_thermal_csv(self): |
| 154 | """Write the csv info in thermal.csv""" |
| 155 | if not self.data_csv: |
| 156 | self.parse_into_csv() |
| 157 | |
| 158 | with open("thermal.csv", "w") as fout: |
| 159 | fout.write(self.data_csv) |
| 160 | |
Javi Merino | a2c990a | 2014-06-10 15:33:49 +0100 | [diff] [blame] | 161 | def plot_temperature(self, title="", width=None, height=None, ylim=None): |
Javi Merino | df8316a | 2014-03-31 18:39:42 +0100 | [diff] [blame] | 162 | """Plot the temperature""" |
Javi Merino | 5bd3d44 | 2014-04-08 12:55:13 +0100 | [diff] [blame] | 163 | dfr = self.get_data_frame() |
Javi Merino | 9e18609 | 2014-04-08 15:41:41 +0100 | [diff] [blame] | 164 | control_temp_series = (dfr["currT"] + dfr["deltaT"]) / 1000 |
Javi Merino | 7a7cd70 | 2014-04-14 15:41:15 +0100 | [diff] [blame] | 165 | title = normalize_title("Temperature", title) |
Javi Merino | 9e18609 | 2014-04-08 15:41:41 +0100 | [diff] [blame] | 166 | |
Javi Merino | 4402e31 | 2014-06-17 17:21:20 +0100 | [diff] [blame] | 167 | self.init_fig(width, height) |
Javi Merino | 9e18609 | 2014-04-08 15:41:41 +0100 | [diff] [blame] | 168 | |
Javi Merino | a2c990a | 2014-06-10 15:33:49 +0100 | [diff] [blame] | 169 | (dfr["currT"] / 1000).plot(ax=self.ax) |
| 170 | control_temp_series.plot(ax=self.ax, color="y", linestyle="--", |
Javi Merino | 9e18609 | 2014-04-08 15:41:41 +0100 | [diff] [blame] | 171 | label="control temperature") |
| 172 | |
Javi Merino | 4402e31 | 2014-06-17 17:21:20 +0100 | [diff] [blame] | 173 | default_plot_settings(self.ax, title=title, ylim=ylim) |
Javi Merino | 9e18609 | 2014-04-08 15:41:41 +0100 | [diff] [blame] | 174 | plt.legend() |
Javi Merino | 749b26a | 2014-03-31 19:17:30 +0100 | [diff] [blame] | 175 | |
Javi Merino | c00feff | 2014-04-14 15:41:51 +0100 | [diff] [blame] | 176 | def plot_input_power(self, title="", width=None, height=None): |
Javi Merino | f1dcb2d | 2014-04-02 16:52:11 +0100 | [diff] [blame] | 177 | """Plot input power""" |
Javi Merino | e0ddf0d | 2014-05-07 18:40:12 +0100 | [diff] [blame] | 178 | dfr = self.get_data_frame() |
| 179 | in_cols = [s for s in dfr.columns |
| 180 | if re.match("P.*_in", s) and s != "Ptot_in"] |
| 181 | |
Javi Merino | c00feff | 2014-04-14 15:41:51 +0100 | [diff] [blame] | 182 | title = normalize_title("Input Power", title) |
Javi Merino | e0ddf0d | 2014-05-07 18:40:12 +0100 | [diff] [blame] | 183 | self.plot_multivalue(in_cols, title, width, height) |
Javi Merino | 9c01077 | 2014-04-02 16:54:41 +0100 | [diff] [blame] | 184 | |
Javi Merino | c00feff | 2014-04-14 15:41:51 +0100 | [diff] [blame] | 185 | def plot_output_power(self, title="", width=None, height=None): |
Javi Merino | 9c01077 | 2014-04-02 16:54:41 +0100 | [diff] [blame] | 186 | """Plot output power""" |
Javi Merino | e0ddf0d | 2014-05-07 18:40:12 +0100 | [diff] [blame] | 187 | dfr = self.get_data_frame() |
| 188 | out_cols = [s for s in dfr.columns |
| 189 | if re.match("P.*_out", s) and s != "Ptot_out"] |
| 190 | |
Javi Merino | c00feff | 2014-04-14 15:41:51 +0100 | [diff] [blame] | 191 | title = normalize_title("Output Power", title) |
Javi Merino | e0ddf0d | 2014-05-07 18:40:12 +0100 | [diff] [blame] | 192 | self.plot_multivalue(out_cols, |
Javi Merino | c00feff | 2014-04-14 15:41:51 +0100 | [diff] [blame] | 193 | title, width, height) |
Javi Merino | cd4a827 | 2014-04-14 15:50:01 +0100 | [diff] [blame] | 194 | |
Javi Merino | 9fc5485 | 2014-05-07 19:06:53 +0100 | [diff] [blame] | 195 | def plot_inout_power(self, title="", width=None, height=None): |
| 196 | """Make multiple plots showing input and output power for each actor""" |
| 197 | dfr = self.get_data_frame() |
| 198 | |
| 199 | actors = [] |
| 200 | for col in dfr.columns: |
| 201 | match = re.match("P(.*)_in", col) |
| 202 | if match and col != "Ptot_in": |
| 203 | actors.append(match.group(1)) |
| 204 | |
| 205 | for actor in actors: |
| 206 | cols = ["P" + actor + "_in", "P" + actor + "_out"] |
| 207 | this_title = normalize_title(actor, title) |
| 208 | dfr[cols].plot(title=this_title) |