| 1 | #!/usr/bin/python3 |
| 2 | # Copyright (C) 2019 - Jonathan Rajotte <jonathan.rajotte-julien@efficios.com> |
| 3 | # |
| 4 | # This program is free software: you can redistribute it and/or modify |
| 5 | # it under the terms of the GNU General Public License as published by |
| 6 | # the Free Software Foundation, either version 3 of the License, or |
| 7 | # (at your option) any later version. |
| 8 | # |
| 9 | # This program is distributed in the hope that it will be useful, |
| 10 | # but WITHOUT ANY WARRANTY; without even the implied warranty of |
| 11 | # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
| 12 | # GNU General Public License for more details. |
| 13 | # |
| 14 | # You should have received a copy of the GNU General Public License |
| 15 | # along with this program. If not, see <http://www.gnu.org/licenses/>. |
| 16 | |
| 17 | import json |
| 18 | import os |
| 19 | import tempfile |
| 20 | from statistics import mean |
| 21 | import argparse |
| 22 | import sys |
| 23 | from operator import add |
| 24 | |
| 25 | import matplotlib.pyplot as plt |
| 26 | from matplotlib.backends.backend_pdf import PdfPages |
| 27 | from matplotlib.ticker import PercentFormatter |
| 28 | |
| 29 | import git |
| 30 | import numpy |
| 31 | import lava_submit |
| 32 | |
| 33 | from minio import Minio |
| 34 | from minio.error import NoSuchKey |
| 35 | from minio.error import ResponseError |
| 36 | |
| 37 | |
| 38 | BENCHMARK_TYPES = ["dummy", "text"] |
| 39 | DEFAULT_BUCKET = "lava" |
| 40 | |
| 41 | |
| 42 | def graph_get_color(branch): |
| 43 | """ |
| 44 | Get the color matching the branch. |
| 45 | """ |
| 46 | color = {"stable-1.5": "red", "stable-2.0": "green", "master": "blue"} |
| 47 | return color[branch] |
| 48 | |
| 49 | |
| 50 | def graph_get_title(branch, benchmark_type): |
| 51 | """ |
| 52 | Get title for graph based on benchmark type. |
| 53 | """ |
| 54 | string = {"dummy": "Dummy output", "text": "Text output"} |
| 55 | return "{} - {}".format(branch, string[benchmark_type]) |
| 56 | |
| 57 | |
| 58 | def get_client(): |
| 59 | """ |
| 60 | Return minio client configured. |
| 61 | """ |
| 62 | return Minio( |
| 63 | "obj.internal.efficios.com", access_key="jenkins", secret_key="echo123456" |
| 64 | ) |
| 65 | |
| 66 | |
| 67 | def get_file(client, prefix, file_name, workdir_name): |
| 68 | """ |
| 69 | Return the path of the downloaded file. |
| 70 | Return None on error |
| 71 | """ |
| 72 | destination = os.path.join(workdir_name, file_name) |
| 73 | object_name = "{}/{}".format(prefix, file_name) |
| 74 | try: |
| 75 | client.fget_object(DEFAULT_BUCKET, object_name, destination) |
| 76 | except NoSuchKey: |
| 77 | return None |
| 78 | |
| 79 | return destination |
| 80 | |
| 81 | |
| 82 | def delete_file(client, prefix, file_name): |
| 83 | """ |
| 84 | Delete the file on remote. |
| 85 | """ |
| 86 | object_name = "{}/{}".format(prefix, file_name) |
| 87 | try: |
| 88 | client.remove_object(DEFAULT_BUCKET, object_name) |
| 89 | except ResponseError as err: |
| 90 | print(err) |
| 91 | except NoSuchKey: |
| 92 | pass |
| 93 | |
| 94 | |
| 95 | def get_git_log(bt_version, cutoff, repo_path): |
| 96 | """ |
| 97 | Return an ordered (older to newer) list of commits for the bt_version and |
| 98 | cutoff. WARNING: This changes the git repo HEAD. |
| 99 | """ |
| 100 | repo = git.Repo(repo_path) |
| 101 | repo.git.fetch() |
| 102 | return repo.git.log( |
| 103 | "{}..origin/{}".format(cutoff, bt_version), "--pretty=format:%H", "--reverse" |
| 104 | ).split("\n") |
| 105 | |
| 106 | |
| 107 | def parse_result(result_path): |
| 108 | """ |
| 109 | Parse the result file. Return a dataset of User time + System time. |
| 110 | """ |
| 111 | with open(result_path) as result: |
| 112 | parsed_result = json.load(result) |
| 113 | return list( |
| 114 | map( |
| 115 | add, |
| 116 | parsed_result["User time (seconds)"], |
| 117 | parsed_result["System time (seconds)"], |
| 118 | ) |
| 119 | ) |
| 120 | |
| 121 | |
| 122 | def get_benchmark_results(client, commit, workdir): |
| 123 | """ |
| 124 | Fetch the benchmark result from a certain commit across all benchmark type. |
| 125 | """ |
| 126 | results = {} |
| 127 | benchmark_valid = True |
| 128 | for b_type in BENCHMARK_TYPES: |
| 129 | prefix = "/results/benchmarks/babeltrace/{}/".format(b_type) |
| 130 | result_file = get_file(client, prefix, commit, workdir) |
| 131 | if not result_file: |
| 132 | """ |
| 133 | Benchmark is either corrupted or not complete. |
| 134 | """ |
| 135 | return None, benchmark_valid |
| 136 | results[b_type] = parse_result(result_file) |
| 137 | if all(i == 0.0 for i in results[b_type]): |
| 138 | benchmark_valid = False |
| 139 | print("Invalid benchmark for {}/{}/{}".format(prefix, b_type, commit)) |
| 140 | # The dataset is valid return immediately. |
| 141 | return results, benchmark_valid |
| 142 | |
| 143 | |
| 144 | def plot_raw_value(branch, benchmark_type, x_data, y_data, labels, latest_values): |
| 145 | """ |
| 146 | Plot the graph using the raw value. |
| 147 | """ |
| 148 | point_x_data = [] |
| 149 | outlier_x_data = [] |
| 150 | point_y_data = [] |
| 151 | outlier_y_data = [] |
| 152 | for pos in range(len(x_data)): |
| 153 | x = x_data[pos] |
| 154 | valid_points, outliers = sanitize_dataset(y_data[pos]) |
| 155 | for y in valid_points: |
| 156 | point_x_data.append(x) |
| 157 | point_y_data.append(y) |
| 158 | for y in outliers: |
| 159 | outlier_x_data.append(x) |
| 160 | outlier_y_data.append(y) |
| 161 | |
| 162 | plt.plot( |
| 163 | point_x_data, point_y_data, "o", label=branch, color=graph_get_color(branch) |
| 164 | ) |
| 165 | plt.plot(outlier_x_data, outlier_y_data, "+", label="outlier", color="black") |
| 166 | |
| 167 | ymax = 1 |
| 168 | if y_data: |
| 169 | ymin = 0.8 * min([item for sublist in y_data for item in sublist]) |
| 170 | ymax = 1.2 * max([item for sublist in y_data for item in sublist]) |
| 171 | # Put latest of other branches for reference as horizontal line. |
| 172 | for l_branch, l_result in latest_values.items(): |
| 173 | if not l_result or l_branch == branch: |
| 174 | continue |
| 175 | plt.axhline( |
| 176 | y=l_result, |
| 177 | label="Latest {}".format(l_branch), |
| 178 | color=graph_get_color(l_branch), |
| 179 | ) |
| 180 | if l_result >= ymax: |
| 181 | ymax = 1.2 * l_result |
| 182 | ax = plt.gca() |
| 183 | plt.ylim(ymin=0, ymax=ymax) |
| 184 | plt.xticks(x_data, labels, rotation=90, family="monospace") |
| 185 | plt.title(graph_get_title(branch, benchmark_type), fontweight="bold") |
| 186 | plt.ylabel("User + system time (s)") |
| 187 | plt.xlabel("Latest commits") |
| 188 | plt.legend() |
| 189 | |
| 190 | # Put tick on the right side |
| 191 | ax.tick_params(labeltop=False, labelright=True) |
| 192 | |
| 193 | plt.tight_layout() |
| 194 | return |
| 195 | |
| 196 | def plot_delta_between_point(branch, benchmark_type, x_data, y_data, labels, latest_values): |
| 197 | """ |
| 198 | Plot the graph of delta between each sequential commit. |
| 199 | """ |
| 200 | local_abs_max = 100 |
| 201 | |
| 202 | # Transform y_data to a list of for which the reference is the first |
| 203 | # element. |
| 204 | local_y_data = [] |
| 205 | for pos, y in enumerate(y_data): |
| 206 | if pos == 0: |
| 207 | local_y_data.append(0.0) |
| 208 | continue |
| 209 | local_y_data.append(y - y_data[pos - 1]) |
| 210 | |
| 211 | plt.plot(x_data, local_y_data, "o", label=branch, color=graph_get_color(branch)) |
| 212 | |
| 213 | # Get max absolute value to align the y axis with zero in the middle. |
| 214 | if local_y_data: |
| 215 | local_abs_max = abs(max(local_y_data, key=abs)) * 1.3 |
| 216 | |
| 217 | plt.ylim(ymin=local_abs_max * -1, ymax=local_abs_max) |
| 218 | |
| 219 | ax = plt.gca() |
| 220 | plt.xticks(x_data, labels, rotation=90, family="monospace") |
| 221 | plt.title(graph_get_title(branch, benchmark_type) + " Delta to previous commit", fontweight="bold") |
| 222 | plt.ylabel("Seconds") |
| 223 | plt.xlabel("Latest commits") |
| 224 | plt.legend() |
| 225 | |
| 226 | # Put tick on the right side |
| 227 | ax.tick_params(labeltop=False, labelright=True) |
| 228 | |
| 229 | plt.tight_layout() |
| 230 | return |
| 231 | |
| 232 | def plot_ratio(branch, benchmark_type, x_data, y_data, labels, latest_values): |
| 233 | """ |
| 234 | Plot the graph using a ratio using first point as reference (0%). |
| 235 | """ |
| 236 | reference = 0.01 |
| 237 | y_abs_max = 100 |
| 238 | |
| 239 | if y_data: |
| 240 | reference = y_data[0] |
| 241 | |
| 242 | # Transform y_data to a list of ratio for which the reference is the first |
| 243 | # element. |
| 244 | local_y_data = list(map(lambda y: ((y / reference) - 1.0) * 100, y_data)) |
| 245 | |
| 246 | plt.plot(x_data, local_y_data, "o", label=branch, color=graph_get_color(branch)) |
| 247 | |
| 248 | # Put latest of other branches for reference as horizontal line. |
| 249 | for l_branch, l_result in latest_values.items(): |
| 250 | if not l_result or l_branch == branch: |
| 251 | continue |
| 252 | ratio_l_result = ((l_result / reference) - 1.0) * 100.0 |
| 253 | print( |
| 254 | "branch {} branch {} value {} l_result {} reference {}".format( |
| 255 | branch, l_branch, ratio_l_result, l_result, reference |
| 256 | ) |
| 257 | ) |
| 258 | plt.axhline( |
| 259 | y=ratio_l_result, |
| 260 | label="Latest {}".format(l_branch), |
| 261 | color=graph_get_color(l_branch), |
| 262 | ) |
| 263 | |
| 264 | # Draw the reference line. |
| 265 | plt.axhline(y=0, label="Reference (leftmost point)", linestyle="-", color="Black") |
| 266 | |
| 267 | # Get max absolute value to align the y axis with zero in the middle. |
| 268 | if local_y_data: |
| 269 | local_abs_max = abs(max(local_y_data, key=abs)) * 1.3 |
| 270 | if y_abs_max > 100: |
| 271 | y_abs_max = local_abs_max |
| 272 | |
| 273 | plt.ylim(ymin=y_abs_max * -1, ymax=y_abs_max) |
| 274 | |
| 275 | ax = plt.gca() |
| 276 | percent_formatter = PercentFormatter() |
| 277 | ax.yaxis.set_major_formatter(percent_formatter) |
| 278 | ax.yaxis.set_minor_formatter(percent_formatter) |
| 279 | plt.xticks(x_data, labels, rotation=90, family="monospace") |
| 280 | plt.title(graph_get_title(branch, benchmark_type), fontweight="bold") |
| 281 | plt.ylabel("Ratio") |
| 282 | plt.xlabel("Latest commits") |
| 283 | plt.legend() |
| 284 | |
| 285 | # Put tick on the right side |
| 286 | ax.tick_params(labeltop=False, labelright=True) |
| 287 | |
| 288 | plt.tight_layout() |
| 289 | return |
| 290 | |
| 291 | def generate_graph(branches, report_name, git_path): |
| 292 | |
| 293 | # The PDF document |
| 294 | pdf_pages = PdfPages(report_name) |
| 295 | |
| 296 | client = get_client() |
| 297 | branch_results = dict() |
| 298 | |
| 299 | # Fetch the results for each branch. |
| 300 | for branch, cutoff in branches.items(): |
| 301 | commits = get_git_log(branch, cutoff, git_path) |
| 302 | results = [] |
| 303 | with tempfile.TemporaryDirectory() as workdir: |
| 304 | for commit in commits: |
| 305 | b_results, valid = get_benchmark_results(client, commit, workdir) |
| 306 | if not b_results or not valid: |
| 307 | continue |
| 308 | results.append((commit, b_results)) |
| 309 | branch_results[branch] = results |
| 310 | |
| 311 | for b_type in BENCHMARK_TYPES: |
| 312 | latest_values = {} |
| 313 | max_len = 0 |
| 314 | |
| 315 | # Find the maximum size for a series inside our series dataset. |
| 316 | # This is used later to compute the size of the actual plot (pdf). |
| 317 | # While there gather the comparison value used to draw comparison line |
| 318 | # between branches. |
| 319 | for branch, results in branch_results.items(): |
| 320 | max_len = max([max_len, len(results)]) |
| 321 | if results: |
| 322 | latest_values[branch] = mean( |
| 323 | sanitize_dataset(results[-1][1][b_type])[0] |
| 324 | ) |
| 325 | else: |
| 326 | latest_values[branch] = None |
| 327 | |
| 328 | for branch, results in branch_results.items(): |
| 329 | # Create a figure instance |
| 330 | if max_len and max_len > 10: |
| 331 | width = 0.16 * max_len |
| 332 | else: |
| 333 | width = 11.69 |
| 334 | |
| 335 | x_data = list(range(len(results))) |
| 336 | y_data = [c[1][b_type] for c in results] |
| 337 | labels = [c[0][:8] for c in results] |
| 338 | |
| 339 | fig = plt.figure(figsize=(width, 8.27), dpi=100) |
| 340 | plot_raw_value(branch, b_type, x_data, y_data, labels, latest_values) |
| 341 | pdf_pages.savefig(fig) |
| 342 | |
| 343 | # Use the mean of each sanitize dataset here, we do not care for |
| 344 | # variance for ratio. At least not yet. |
| 345 | y_data = [mean(sanitize_dataset(c[1][b_type])[0]) for c in results] |
| 346 | fig = plt.figure(figsize=(width, 8.27), dpi=100) |
| 347 | plot_ratio(branch, b_type, x_data, y_data, labels, latest_values) |
| 348 | pdf_pages.savefig(fig) |
| 349 | |
| 350 | fig = plt.figure(figsize=(width, 8.27), dpi=100) |
| 351 | plot_delta_between_point(branch, b_type, x_data, y_data, labels, latest_values) |
| 352 | pdf_pages.savefig(fig) |
| 353 | |
| 354 | pdf_pages.close() |
| 355 | |
| 356 | |
| 357 | def launch_jobs(branches, git_path, wait_for_completion, debug, force): |
| 358 | """ |
| 359 | Lauch jobs for all missing results. |
| 360 | """ |
| 361 | client = get_client() |
| 362 | for branch, cutoff in branches.items(): |
| 363 | commits = get_git_log(branch, cutoff, git_path) |
| 364 | |
| 365 | with tempfile.TemporaryDirectory() as workdir: |
| 366 | for commit in commits: |
| 367 | b_results = get_benchmark_results(client, commit, workdir)[0] |
| 368 | if b_results and not force: |
| 369 | continue |
| 370 | lava_submit.submit( |
| 371 | commit, wait_for_completion=wait_for_completion, debug=debug |
| 372 | ) |
| 373 | |
| 374 | |
| 375 | def main(): |
| 376 | """ |
| 377 | Parse arguments and execute as needed. |
| 378 | """ |
| 379 | bt_branches = { |
| 380 | "master": "31976fe2d70a8b6b7f8b31b9e0b3bc004d415575", |
| 381 | "stable-2.0": "07f585356018b4ddfbd0e09c49a14e38977c6973", |
| 382 | "stable-1.5": "49e98b837a5667130e0d1e062a6bd7985c7c4582", |
| 383 | } |
| 384 | |
| 385 | parser = argparse.ArgumentParser(description="Babeltrace benchmark utility") |
| 386 | parser.add_argument( |
| 387 | "--generate-jobs", action="store_true", help="Generate and send jobs" |
| 388 | ) |
| 389 | parser.add_argument( |
| 390 | "--force-jobs", action="store_true", help="Force the queueing of jobs to lava" |
| 391 | ) |
| 392 | parser.add_argument( |
| 393 | "--do-not-wait-on-completion", |
| 394 | action="store_true", |
| 395 | default=False, |
| 396 | help="Wait for the completion of each jobs sent. This is useful" |
| 397 | "for the ci. Otherwise we could end up spaming the lava instance.", |
| 398 | ) |
| 399 | parser.add_argument( |
| 400 | "--generate-report", |
| 401 | action="store_true", |
| 402 | help="Generate graphs and save them to pdf", |
| 403 | ) |
| 404 | parser.add_argument( |
| 405 | "--report-name", default="report.pdf", help="The name of the pdf report." |
| 406 | ) |
| 407 | parser.add_argument( |
| 408 | "--debug", action="store_true", default=False, help="Do not send jobs to lava." |
| 409 | ) |
| 410 | parser.add_argument( |
| 411 | "--repo-path", help="The location of the git repo to use.", required=True |
| 412 | ) |
| 413 | |
| 414 | args = parser.parse_args() |
| 415 | |
| 416 | if not os.path.exists(args.repo_path): |
| 417 | print("Repository location does not exists.") |
| 418 | return 1 |
| 419 | |
| 420 | if args.generate_jobs: |
| 421 | print("Launching jobs for:") |
| 422 | |
| 423 | for branch, cutoff in bt_branches.items(): |
| 424 | print("\t Branch {} with cutoff {}".format(branch, cutoff)) |
| 425 | |
| 426 | launch_jobs( |
| 427 | bt_branches, |
| 428 | args.repo_path, |
| 429 | not args.do_not_wait_on_completion, |
| 430 | args.debug, |
| 431 | args.force_jobs, |
| 432 | ) |
| 433 | |
| 434 | if args.generate_report: |
| 435 | print("Generating pdf report ({}) for:".format(args.report_name)) |
| 436 | for branch, cutoff in bt_branches.items(): |
| 437 | print("\t Branch {} with cutoff {}".format(branch, cutoff)) |
| 438 | generate_graph(bt_branches, args.report_name, args.repo_path) |
| 439 | |
| 440 | return 0 |
| 441 | |
| 442 | |
| 443 | def sanitize_dataset(dataset): |
| 444 | """ |
| 445 | Use IRQ 1.5 [1] to remove outlier from the dataset. This is useful to get a |
| 446 | representative mean without outlier in it. |
| 447 | [1] https://en.wikipedia.org/wiki/Interquartile_range#Outliers |
| 448 | """ |
| 449 | sorted_data = sorted(dataset) |
| 450 | q1, q3 = numpy.percentile(sorted_data, [25, 75]) |
| 451 | iqr = q3 - q1 |
| 452 | lower_bound = q1 - (1.5 * iqr) |
| 453 | upper_bound = q3 + (1.5 * iqr) |
| 454 | new_dataset = [] |
| 455 | outliers = [] |
| 456 | for i in dataset: |
| 457 | if lower_bound <= i <= upper_bound: |
| 458 | new_dataset.append(i) |
| 459 | else: |
| 460 | outliers.append(i) |
| 461 | return new_dataset, outliers |
| 462 | |
| 463 | |
| 464 | if __name__ == "__main__": |
| 465 | sys.exit(main()) |