| 1 | #!/usr/bin/env python |
|---|
| 2 | # -*- coding: utf-8 -*- |
|---|
| 3 | |
|---|
| 4 | # this must come first |
|---|
| 5 | from __future__ import print_function, unicode_literals, division |
|---|
| 6 | |
|---|
| 7 | # standard library imports |
|---|
| 8 | from argparse import ArgumentParser |
|---|
| 9 | import os |
|---|
| 10 | import os.path |
|---|
| 11 | import datetime as dt |
|---|
| 12 | import numpy as np |
|---|
| 13 | |
|---|
| 14 | # Application library imports |
|---|
| 15 | from libconso import * |
|---|
| 16 | |
|---|
| 17 | |
|---|
| 18 | ######################################## |
|---|
| 19 | class DataDict(dict): |
|---|
| 20 | #--------------------------------------- |
|---|
| 21 | def __init__(self): |
|---|
| 22 | self = {} |
|---|
| 23 | |
|---|
| 24 | #--------------------------------------- |
|---|
| 25 | def init_range(self, date_beg, date_end, inc=1): |
|---|
| 26 | """ |
|---|
| 27 | """ |
|---|
| 28 | # delta = date_end - date_beg |
|---|
| 29 | # delta = delta + dt.timedelta(days=1) |
|---|
| 30 | delta = date_end - date_beg + dt.timedelta(days=1) |
|---|
| 31 | |
|---|
| 32 | (deb, fin) = (0, int(delta.total_seconds() / 3600)) |
|---|
| 33 | |
|---|
| 34 | dates = (date_beg + dt.timedelta(hours=i) |
|---|
| 35 | for i in xrange(deb, fin, inc)) |
|---|
| 36 | |
|---|
| 37 | for date in dates: |
|---|
| 38 | self.add_item(date) |
|---|
| 39 | |
|---|
| 40 | #--------------------------------------- |
|---|
| 41 | def fill_data(self, file_list): |
|---|
| 42 | """ |
|---|
| 43 | """ |
|---|
| 44 | for filein in sorted(file_list): |
|---|
| 45 | try: |
|---|
| 46 | data = np.genfromtxt( |
|---|
| 47 | filein, |
|---|
| 48 | skip_header=1, |
|---|
| 49 | converters={ |
|---|
| 50 | 0: string_to_datetime, |
|---|
| 51 | 1: float, |
|---|
| 52 | 2: float, |
|---|
| 53 | }, |
|---|
| 54 | missing_values="nan", |
|---|
| 55 | ) |
|---|
| 56 | except Exception as rc: |
|---|
| 57 | print("Problem with file {} :\n{}".format(filein, rc)) |
|---|
| 58 | exit(1) |
|---|
| 59 | |
|---|
| 60 | if len(data) == 24: |
|---|
| 61 | run_mean = np.nanmean( |
|---|
| 62 | np.array([run for _, run, _ in data]) |
|---|
| 63 | ) |
|---|
| 64 | pen_mean = np.nanmean( |
|---|
| 65 | np.array([pen for _, _, pen in data]) |
|---|
| 66 | ) |
|---|
| 67 | run_std = np.nanstd( |
|---|
| 68 | np.array([run for _, run, _ in data]) |
|---|
| 69 | ) |
|---|
| 70 | pen_std = np.nanstd( |
|---|
| 71 | np.array([pen for _, _, pen in data]) |
|---|
| 72 | ) |
|---|
| 73 | else: |
|---|
| 74 | run_mean = np.nan |
|---|
| 75 | pen_mean = np.nan |
|---|
| 76 | run_std = np.nan |
|---|
| 77 | pen_std = np.nan |
|---|
| 78 | |
|---|
| 79 | for date, run, pen in data: |
|---|
| 80 | if date.hour == 0: |
|---|
| 81 | self.add_item( |
|---|
| 82 | date, |
|---|
| 83 | run, |
|---|
| 84 | pen, |
|---|
| 85 | run_mean, |
|---|
| 86 | pen_mean, |
|---|
| 87 | run_std, |
|---|
| 88 | pen_std |
|---|
| 89 | ) |
|---|
| 90 | else: |
|---|
| 91 | self.add_item(date, run, pen) |
|---|
| 92 | self[date].fill() |
|---|
| 93 | |
|---|
| 94 | #--------------------------------------- |
|---|
| 95 | def add_item(self, date, run=np.nan, pen=np.nan, |
|---|
| 96 | run_mean=np.nan, pen_mean=np.nan, |
|---|
| 97 | run_std=np.nan, pen_std=np.nan): |
|---|
| 98 | """ |
|---|
| 99 | """ |
|---|
| 100 | self[date] = Conso( |
|---|
| 101 | date, |
|---|
| 102 | run, |
|---|
| 103 | pen, |
|---|
| 104 | run_mean, |
|---|
| 105 | pen_mean, |
|---|
| 106 | run_std, |
|---|
| 107 | pen_std |
|---|
| 108 | ) |
|---|
| 109 | |
|---|
| 110 | #--------------------------------------- |
|---|
| 111 | def get_items_in_range(self, date_beg, date_end, inc=1): |
|---|
| 112 | """ |
|---|
| 113 | """ |
|---|
| 114 | items = (item for item in self.itervalues() |
|---|
| 115 | if item.date >= date_beg and |
|---|
| 116 | item.date <= date_end) |
|---|
| 117 | items = sorted(items, key=lambda item: item.date) |
|---|
| 118 | |
|---|
| 119 | return items[::inc] |
|---|
| 120 | |
|---|
| 121 | #--------------------------------------- |
|---|
| 122 | def get_items_in_full_range(self, inc=1): |
|---|
| 123 | """ |
|---|
| 124 | """ |
|---|
| 125 | items = (item for item in self.itervalues() |
|---|
| 126 | if item.date.hour == 0) |
|---|
| 127 | items = sorted(items, key=lambda item: item.date) |
|---|
| 128 | |
|---|
| 129 | return items[::inc] |
|---|
| 130 | |
|---|
| 131 | #--------------------------------------- |
|---|
| 132 | def get_items(self, inc=1): |
|---|
| 133 | """ |
|---|
| 134 | """ |
|---|
| 135 | items = (item for item in self.itervalues() |
|---|
| 136 | if item.isfilled()) |
|---|
| 137 | items = sorted(items, key=lambda item: item.date) |
|---|
| 138 | |
|---|
| 139 | return items[::inc] |
|---|
| 140 | |
|---|
| 141 | |
|---|
| 142 | class Conso(object): |
|---|
| 143 | #--------------------------------------- |
|---|
| 144 | def __init__(self, date, run=np.nan, pen=np.nan, |
|---|
| 145 | run_mean=np.nan, pen_mean=np.nan, |
|---|
| 146 | run_std=np.nan, pen_std=np.nan): |
|---|
| 147 | |
|---|
| 148 | self.date = date |
|---|
| 149 | self.run = run |
|---|
| 150 | self.pen = pen |
|---|
| 151 | self.run_mean = run_mean |
|---|
| 152 | self.pen_mean = pen_mean |
|---|
| 153 | self.run_std = run_std |
|---|
| 154 | self.pen_std = pen_std |
|---|
| 155 | self.filled = False |
|---|
| 156 | |
|---|
| 157 | #--------------------------------------- |
|---|
| 158 | def __repr__(self): |
|---|
| 159 | return "R{:.0f} ({:.0f}/{:.0f}) P{:.0f} ({:.0f}/{:.0f})".format( |
|---|
| 160 | self.run, |
|---|
| 161 | self.run_mean, |
|---|
| 162 | self.run_std, |
|---|
| 163 | self.pen, |
|---|
| 164 | self.pen_mean, |
|---|
| 165 | self.pen_std, |
|---|
| 166 | ) |
|---|
| 167 | |
|---|
| 168 | #--------------------------------------- |
|---|
| 169 | def isfilled(self): |
|---|
| 170 | return self.filled |
|---|
| 171 | |
|---|
| 172 | #--------------------------------------- |
|---|
| 173 | def fill(self): |
|---|
| 174 | self.filled = True |
|---|
| 175 | |
|---|
| 176 | |
|---|
| 177 | ######################################## |
|---|
| 178 | def plot_init(): |
|---|
| 179 | paper_size = np.array([29.7, 21.0]) |
|---|
| 180 | fig, ax = plt.subplots(figsize=(paper_size/2.54)) |
|---|
| 181 | |
|---|
| 182 | return fig, ax |
|---|
| 183 | |
|---|
| 184 | |
|---|
| 185 | ######################################## |
|---|
| 186 | def plot_data(ax, xcoord, dates, run_jobs, pen_jobs, run_std, pen_std): |
|---|
| 187 | """ |
|---|
| 188 | """ |
|---|
| 189 | line_width = 0. |
|---|
| 190 | width = 1.05 |
|---|
| 191 | |
|---|
| 192 | ax.bar( |
|---|
| 193 | xcoord, run_jobs, width=width, yerr=run_std/2., |
|---|
| 194 | linewidth=line_width, align="center", |
|---|
| 195 | color="lightgreen", ecolor="green", antialiased=True, |
|---|
| 196 | label="jobs running" |
|---|
| 197 | ) |
|---|
| 198 | ax.bar( |
|---|
| 199 | xcoord, pen_jobs, bottom=run_jobs, width=width, |
|---|
| 200 | linewidth=line_width, align="center", |
|---|
| 201 | color="firebrick", antialiased=True, |
|---|
| 202 | label="jobs pending" |
|---|
| 203 | ) |
|---|
| 204 | # ax.step( |
|---|
| 205 | # xcoord, run_jobs, where="mid", |
|---|
| 206 | # linewidth=1, color="black", label="jobs running" |
|---|
| 207 | # ) |
|---|
| 208 | # ax.step( |
|---|
| 209 | # xcoord, pen_jobs+run_jobs, where="mid", |
|---|
| 210 | # linewidth=1, color="black", label="jobs running" |
|---|
| 211 | # ) |
|---|
| 212 | |
|---|
| 213 | |
|---|
| 214 | ######################################## |
|---|
| 215 | def plot_config(fig, ax, xcoord, dates, title, conso_per_day): |
|---|
| 216 | """ |
|---|
| 217 | """ |
|---|
| 218 | # ... Config axes ... |
|---|
| 219 | # ------------------- |
|---|
| 220 | # 1) Range |
|---|
| 221 | xmin, xmax = xcoord[0]-1, xcoord[-1]+1 |
|---|
| 222 | ax.set_xlim(xmin, xmax) |
|---|
| 223 | |
|---|
| 224 | # 2) Ticks labels |
|---|
| 225 | (date_beg, date_end) = (dates[0], dates[-1]) |
|---|
| 226 | |
|---|
| 227 | if date_end - date_beg > dt.timedelta(weeks=9): |
|---|
| 228 | date_fmt = "{:%d-%m}" |
|---|
| 229 | maj_xticks = [x for x, d in zip(xcoord, dates) |
|---|
| 230 | if d.weekday() == 0 and d.hour == 0] |
|---|
| 231 | maj_xlabs = [date_fmt.format(d) for d in dates |
|---|
| 232 | if d.weekday() == 0 and d.hour == 0] |
|---|
| 233 | else: |
|---|
| 234 | date_fmt = "{:%d-%m %Hh}" |
|---|
| 235 | maj_xticks = [x for x, d in zip(xcoord, dates) |
|---|
| 236 | if d.hour == 0 or d.hour == 12] |
|---|
| 237 | maj_xlabs = [date_fmt.format(d) for d in dates |
|---|
| 238 | if d.hour == 0 or d.hour == 12] |
|---|
| 239 | |
|---|
| 240 | ax.set_xticks(xcoord, minor=True) |
|---|
| 241 | ax.set_xticks(maj_xticks, minor=False) |
|---|
| 242 | ax.set_xticklabels(maj_xlabs, rotation="vertical", size="x-small") |
|---|
| 243 | |
|---|
| 244 | yticks = list(ax.get_yticks()) |
|---|
| 245 | yticks.append(conso_per_day) |
|---|
| 246 | ax.set_yticks(yticks) |
|---|
| 247 | |
|---|
| 248 | ax.axhline(y=conso_per_day, color="blue", alpha=0.5, |
|---|
| 249 | label="conso journaliÚre idéale") |
|---|
| 250 | |
|---|
| 251 | for x, d in zip(xcoord, dates): |
|---|
| 252 | if d.weekday() == 0 and d.hour == 0: |
|---|
| 253 | ax.axvline(x=x, color="black", linewidth=1., linestyle=":") |
|---|
| 254 | |
|---|
| 255 | # 3) Define axes title |
|---|
| 256 | ax.set_ylabel("cÅurs", fontweight="bold") |
|---|
| 257 | ax.tick_params(axis="y", labelsize="small") |
|---|
| 258 | |
|---|
| 259 | # 4) Define plot size |
|---|
| 260 | fig.subplots_adjust( |
|---|
| 261 | left=0.08, |
|---|
| 262 | bottom=0.09, |
|---|
| 263 | right=0.93, |
|---|
| 264 | top=0.93, |
|---|
| 265 | ) |
|---|
| 266 | |
|---|
| 267 | # ... Main title and legend ... |
|---|
| 268 | # ----------------------------- |
|---|
| 269 | fig.suptitle(title, fontweight="bold", size="large") |
|---|
| 270 | ax.legend(loc="upper right", fontsize="x-small", frameon=False) |
|---|
| 271 | |
|---|
| 272 | |
|---|
| 273 | ######################################## |
|---|
| 274 | def get_arguments(): |
|---|
| 275 | parser = ArgumentParser() |
|---|
| 276 | parser.add_argument("-v", "--verbose", action="store_true", |
|---|
| 277 | help="verbose mode") |
|---|
| 278 | parser.add_argument("-f", "--full", action="store_true", |
|---|
| 279 | help="plot the whole period") |
|---|
| 280 | parser.add_argument("-i", "--increment", action="store", |
|---|
| 281 | type=int, default=1, dest="inc", |
|---|
| 282 | help="sampling increment") |
|---|
| 283 | parser.add_argument("-r", "--range", action="store", nargs=2, |
|---|
| 284 | type=string_to_date, |
|---|
| 285 | help="date range: ssaa-mm-jj ssaa-mm-jj") |
|---|
| 286 | parser.add_argument("-s", "--show", action="store_true", |
|---|
| 287 | help="interactive mode") |
|---|
| 288 | parser.add_argument("-d", "--dods", action="store_true", |
|---|
| 289 | help="copy output on dods") |
|---|
| 290 | |
|---|
| 291 | return parser.parse_args() |
|---|
| 292 | |
|---|
| 293 | |
|---|
| 294 | ######################################## |
|---|
| 295 | if __name__ == '__main__': |
|---|
| 296 | |
|---|
| 297 | # .. Initialization .. |
|---|
| 298 | # ==================== |
|---|
| 299 | # ... Command line arguments ... |
|---|
| 300 | # ------------------------------ |
|---|
| 301 | args = get_arguments() |
|---|
| 302 | |
|---|
| 303 | # ... Constants ... |
|---|
| 304 | # ----------------- |
|---|
| 305 | WEEK_NB = 3 |
|---|
| 306 | |
|---|
| 307 | # ... Turn interactive mode off ... |
|---|
| 308 | # --------------------------------- |
|---|
| 309 | if not args.show: |
|---|
| 310 | import matplotlib |
|---|
| 311 | matplotlib.use('Agg') |
|---|
| 312 | |
|---|
| 313 | import matplotlib.pyplot as plt |
|---|
| 314 | # from matplotlib.backends.backend_pdf import PdfPages |
|---|
| 315 | |
|---|
| 316 | if not args.show: |
|---|
| 317 | plt.ioff() |
|---|
| 318 | |
|---|
| 319 | # ... Files and directories ... |
|---|
| 320 | # ----------------------------- |
|---|
| 321 | project_name, DIR, OUT = parse_config("bin/config.ini") |
|---|
| 322 | |
|---|
| 323 | (file_param, file_utheo) = \ |
|---|
| 324 | get_input_files(DIR["SAVEDATA"], [OUT["PARAM"], OUT["UTHEO"]]) |
|---|
| 325 | |
|---|
| 326 | file_list = glob.glob(os.path.join(DIR["SAVEDATA"], |
|---|
| 327 | "OUT_JOBS_PENDING_*")) |
|---|
| 328 | |
|---|
| 329 | img_name = "jobs" |
|---|
| 330 | |
|---|
| 331 | today = dt.datetime.today() |
|---|
| 332 | weeknum = today.isocalendar()[1] |
|---|
| 333 | |
|---|
| 334 | if args.verbose: |
|---|
| 335 | fmt_str = "{:10s} : {}" |
|---|
| 336 | print(fmt_str.format("args", args)) |
|---|
| 337 | print(fmt_str.format("today", today)) |
|---|
| 338 | print(fmt_str.format("file_param", file_param)) |
|---|
| 339 | print(fmt_str.format("file_utheo", file_utheo)) |
|---|
| 340 | print(fmt_str.format("file_list", file_list)) |
|---|
| 341 | print(fmt_str.format("img_name", img_name)) |
|---|
| 342 | |
|---|
| 343 | # .. Get project info .. |
|---|
| 344 | # ====================== |
|---|
| 345 | projet = Project() |
|---|
| 346 | projet.fill_data(file_param) |
|---|
| 347 | projet.get_date_init(file_utheo) |
|---|
| 348 | |
|---|
| 349 | # .. Fill in data .. |
|---|
| 350 | # ================== |
|---|
| 351 | # ... Initialization ... |
|---|
| 352 | # ---------------------- |
|---|
| 353 | bilan = DataDict() |
|---|
| 354 | bilan.init_range(projet.date_init, projet.deadline) |
|---|
| 355 | |
|---|
| 356 | # ... Extract data from file ... |
|---|
| 357 | # ------------------------------ |
|---|
| 358 | bilan.fill_data(file_list) |
|---|
| 359 | |
|---|
| 360 | # .. Extract data depending on C.L. arguments .. |
|---|
| 361 | # ============================================== |
|---|
| 362 | if args.full: |
|---|
| 363 | selected_items = bilan.get_items_in_full_range(args.inc) |
|---|
| 364 | elif args.range: |
|---|
| 365 | selected_items = bilan.get_items_in_range( |
|---|
| 366 | args.range[0], args.range[1], args.inc |
|---|
| 367 | ) |
|---|
| 368 | else: |
|---|
| 369 | range_end = today |
|---|
| 370 | range_start = ( |
|---|
| 371 | range_end + dt.timedelta(weeks=-WEEK_NB) - dt.timedelta(days=1) |
|---|
| 372 | ) |
|---|
| 373 | selected_items = bilan.get_items_in_range( |
|---|
| 374 | range_start, range_end, args.inc |
|---|
| 375 | ) |
|---|
| 376 | |
|---|
| 377 | # .. Compute data to be plotted .. |
|---|
| 378 | # ================================ |
|---|
| 379 | nb_items = len(selected_items) |
|---|
| 380 | |
|---|
| 381 | xcoord = np.linspace(1, nb_items, num=nb_items) |
|---|
| 382 | dates = [item.date for item in selected_items] |
|---|
| 383 | |
|---|
| 384 | if args.full: |
|---|
| 385 | run_jobs = np.array([item.run_mean for item in selected_items], |
|---|
| 386 | dtype=float) |
|---|
| 387 | pen_jobs = np.array([item.pen_mean for item in selected_items], |
|---|
| 388 | dtype=float) |
|---|
| 389 | run_std = np.array([item.run_std for item in selected_items], |
|---|
| 390 | dtype=float) |
|---|
| 391 | pen_std = np.array([item.pen_std for item in selected_items], |
|---|
| 392 | dtype=float) |
|---|
| 393 | else: |
|---|
| 394 | run_jobs = np.array([item.run for item in selected_items], |
|---|
| 395 | dtype=float) |
|---|
| 396 | pen_jobs = np.array([item.pen for item in selected_items], |
|---|
| 397 | dtype=float) |
|---|
| 398 | run_std = np.nan |
|---|
| 399 | pen_std = np.nan |
|---|
| 400 | |
|---|
| 401 | if args.verbose: |
|---|
| 402 | for i in selected_items: |
|---|
| 403 | if not np.isnan(i.run_mean): |
|---|
| 404 | print( |
|---|
| 405 | "{} {:13.2f} {:13.2f} {:13.2f} {:13.2f}".format( |
|---|
| 406 | i.date, |
|---|
| 407 | i.run_mean, i.pen_mean, |
|---|
| 408 | i.run_std, i.pen_std |
|---|
| 409 | ) |
|---|
| 410 | ) |
|---|
| 411 | |
|---|
| 412 | conso_per_day = projet.alloc / (projet.days * 24.) |
|---|
| 413 | |
|---|
| 414 | # .. Plot stuff .. |
|---|
| 415 | # ================ |
|---|
| 416 | # ... Initialize figure ... |
|---|
| 417 | # ------------------------- |
|---|
| 418 | (fig, ax) = plot_init() |
|---|
| 419 | |
|---|
| 420 | # ... Plot data ... |
|---|
| 421 | # ----------------- |
|---|
| 422 | plot_data(ax, xcoord, dates, run_jobs, pen_jobs, run_std, pen_std) |
|---|
| 423 | |
|---|
| 424 | # # ... Tweak figure ... |
|---|
| 425 | # # -------------------- |
|---|
| 426 | title = "Suivi des jobs {}\n({:%d/%m/%Y} - {:%d/%m/%Y})".format( |
|---|
| 427 | projet.project.upper(), |
|---|
| 428 | projet.date_init, |
|---|
| 429 | projet.deadline |
|---|
| 430 | ) |
|---|
| 431 | |
|---|
| 432 | plot_config(fig, ax, xcoord, dates, title, conso_per_day) |
|---|
| 433 | |
|---|
| 434 | # ... Save figure ... |
|---|
| 435 | # ------------------- |
|---|
| 436 | img_in = os.path.join(DIR["PLOT"], "{}.pdf".format(img_name)) |
|---|
| 437 | img_out = os.path.join(DIR["SAVEPLOT"], |
|---|
| 438 | "{}_w{:02d}.pdf".format(img_name, weeknum)) |
|---|
| 439 | |
|---|
| 440 | plot_save(img_in, img_out, title, DIR) |
|---|
| 441 | |
|---|
| 442 | # ... Publish figure on dods ... |
|---|
| 443 | # ------------------------------ |
|---|
| 444 | if args.dods: |
|---|
| 445 | dods_cp(img_in, DIR) |
|---|
| 446 | |
|---|
| 447 | if args.show: |
|---|
| 448 | plt.show() |
|---|
| 449 | |
|---|
| 450 | exit(0) |
|---|
