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 gencmip6 import * |
---|
16 | from gencmip6_path import * |
---|
17 | |
---|
18 | |
---|
19 | ######################################## |
---|
20 | class BilanDict(dict): |
---|
21 | #--------------------------------------- |
---|
22 | def __init__(self): |
---|
23 | self = {} |
---|
24 | |
---|
25 | #--------------------------------------- |
---|
26 | def init_range(self, date_beg, date_end, inc=1): |
---|
27 | """ |
---|
28 | """ |
---|
29 | delta = date_end - date_beg |
---|
30 | |
---|
31 | (deb, fin) = (0, delta.days+1) |
---|
32 | |
---|
33 | dates = (date_beg + dt.timedelta(days=i) |
---|
34 | for i in xrange(deb, fin, inc)) |
---|
35 | |
---|
36 | for date in dates: |
---|
37 | self.add_item(date) |
---|
38 | |
---|
39 | #--------------------------------------- |
---|
40 | def fill_data(self, filein): |
---|
41 | """ |
---|
42 | """ |
---|
43 | try: |
---|
44 | data = np.genfromtxt( |
---|
45 | filein, |
---|
46 | skip_header=1, |
---|
47 | converters={0: string_to_date, |
---|
48 | 1: string_to_float, |
---|
49 | 2: string_to_percent, |
---|
50 | 3: string_to_percent}, |
---|
51 | missing_values="nan", |
---|
52 | ) |
---|
53 | except: |
---|
54 | print("Empty file {}".format(filein)) |
---|
55 | exit(1) |
---|
56 | |
---|
57 | for date, conso, real_use, theo_use in data: |
---|
58 | if date in self: |
---|
59 | self.add_item(date, conso, real_use, theo_use) |
---|
60 | self[date].fill() |
---|
61 | |
---|
62 | #--------------------------------------- |
---|
63 | def add_item(self, date, conso=np.nan, |
---|
64 | real_use=np.nan, theo_use=np.nan): |
---|
65 | """ |
---|
66 | """ |
---|
67 | self[date] = Conso(date, conso, real_use, theo_use) |
---|
68 | |
---|
69 | #--------------------------------------- |
---|
70 | def theo_equation(self): |
---|
71 | """ |
---|
72 | """ |
---|
73 | (dates, theo_uses) = \ |
---|
74 | zip(*((item.date, item.theo_use) |
---|
75 | for item in self.get_items_in_full_range())) |
---|
76 | |
---|
77 | (idx_min, idx_max) = \ |
---|
78 | (np.nanargmin(theo_uses), np.nanargmax(theo_uses)) |
---|
79 | |
---|
80 | x1 = dates[idx_min].timetuple().tm_yday |
---|
81 | x2 = dates[idx_max].timetuple().tm_yday |
---|
82 | |
---|
83 | y1 = theo_uses[idx_min] |
---|
84 | y2 = theo_uses[idx_max] |
---|
85 | |
---|
86 | m = np.array([ |
---|
87 | [x1, 1.], |
---|
88 | [x2, 1.] |
---|
89 | ], dtype="float") |
---|
90 | n = np.array([ |
---|
91 | y1, |
---|
92 | y2 |
---|
93 | ], dtype="float") |
---|
94 | |
---|
95 | try: |
---|
96 | (a, b) = np.linalg.solve(m, n) |
---|
97 | except np.linalg.linalg.LinAlgError: |
---|
98 | (a, b) = (None, None) |
---|
99 | |
---|
100 | if a and b: |
---|
101 | for date in dates: |
---|
102 | self[date].theo_equ = date.timetuple().tm_yday*a + b |
---|
103 | |
---|
104 | #--------------------------------------- |
---|
105 | def get_items_in_range(self, date_beg, date_end, inc=1): |
---|
106 | """ |
---|
107 | """ |
---|
108 | items = (item for item in self.itervalues() |
---|
109 | if item.date >= date_beg and |
---|
110 | item.date <= date_end) |
---|
111 | items = sorted(items, key=lambda item: item.date) |
---|
112 | |
---|
113 | return items[::inc] |
---|
114 | |
---|
115 | #--------------------------------------- |
---|
116 | def get_items_in_full_range(self, inc=1): |
---|
117 | """ |
---|
118 | """ |
---|
119 | items = (item for item in self.itervalues()) |
---|
120 | items = sorted(items, key=lambda item: item.date) |
---|
121 | |
---|
122 | return items[::inc] |
---|
123 | |
---|
124 | #--------------------------------------- |
---|
125 | def get_items(self, inc=1): |
---|
126 | """ |
---|
127 | """ |
---|
128 | items = (item for item in self.itervalues() |
---|
129 | if item.isfilled()) |
---|
130 | items = sorted(items, key=lambda item: item.date) |
---|
131 | |
---|
132 | return items[::inc] |
---|
133 | |
---|
134 | |
---|
135 | class Conso(object): |
---|
136 | #--------------------------------------- |
---|
137 | def __init__(self, date, conso=np.nan, |
---|
138 | real_use=np.nan, theo_use=np.nan): |
---|
139 | self.date = date |
---|
140 | self.conso = conso |
---|
141 | self.real_use = real_use |
---|
142 | self.theo_use = theo_use |
---|
143 | self.theo_equ = np.nan |
---|
144 | self.filled = False |
---|
145 | |
---|
146 | #--------------------------------------- |
---|
147 | def __repr__(self): |
---|
148 | return "{:.2f} ({:.2%})".format(self.conso, self.real_use) |
---|
149 | |
---|
150 | #--------------------------------------- |
---|
151 | def isfilled(self): |
---|
152 | return self.filled |
---|
153 | |
---|
154 | #--------------------------------------- |
---|
155 | def fill(self): |
---|
156 | self.filled = True |
---|
157 | |
---|
158 | |
---|
159 | ######################################## |
---|
160 | def plot_init(): |
---|
161 | paper_size = np.array([29.7, 21.0]) |
---|
162 | fig, ax_conso = plt.subplots(figsize=(paper_size/2.54)) |
---|
163 | ax_theo = ax_conso.twinx() |
---|
164 | |
---|
165 | return fig, ax_conso, ax_theo |
---|
166 | |
---|
167 | |
---|
168 | ######################################## |
---|
169 | def plot_data(ax_conso, ax_theo, xcoord, xlabels, |
---|
170 | consos, conso_per_day, theo_uses, real_uses, theo_equs): |
---|
171 | """ |
---|
172 | """ |
---|
173 | if args.full: |
---|
174 | line_style = "-" |
---|
175 | line_width = 0.1 |
---|
176 | else: |
---|
177 | line_style = "+-" |
---|
178 | line_width = 0.2 |
---|
179 | |
---|
180 | ax_conso.bar(xcoord, consos, align="center", color="linen", |
---|
181 | linewidth=line_width, label="conso (heures)") |
---|
182 | # ax_conso.plot(xcoord, conso_per_day, line_style, color="blue", |
---|
183 | # linewidth=1, markersize=8, alpha=0.5, |
---|
184 | # # solid_capstyle="round", solid_joinstyle="round", |
---|
185 | # label="conso journaliÚre idéale (heures)") |
---|
186 | ax_conso.axhline(y=conso_per_day[0], color="blue", alpha=0.5, |
---|
187 | label="conso journaliÚre idéale (heures)") |
---|
188 | |
---|
189 | ax_theo.plot(xcoord, theo_equs, "--", |
---|
190 | color="firebrick", linewidth=0.5, |
---|
191 | solid_capstyle="round", solid_joinstyle="round") |
---|
192 | ax_theo.plot(xcoord, theo_uses, line_style, color="firebrick", |
---|
193 | linewidth=1, markersize=8, |
---|
194 | # solid_capstyle="round", solid_joinstyle="round", |
---|
195 | label="conso théorique (%)") |
---|
196 | ax_theo.plot(xcoord, real_uses, line_style, color="forestgreen", |
---|
197 | linewidth=1, markersize=8, |
---|
198 | # solid_capstyle="round", solid_joinstyle="round", |
---|
199 | label="conso réelle (%)") |
---|
200 | |
---|
201 | |
---|
202 | ######################################## |
---|
203 | def plot_config(ax_conso, ax_theo, xcoord, xlabels, ymax, title): |
---|
204 | """ |
---|
205 | """ |
---|
206 | # ... Config axes ... |
---|
207 | # ------------------- |
---|
208 | # 1) Range |
---|
209 | xmin, xmax = xcoord[0]-1, xcoord[-1]+1 |
---|
210 | ax_conso.set_xlim(xmin, xmax) |
---|
211 | ax_conso.set_ylim(0., ymax) |
---|
212 | ax_theo.set_ylim(0., 100) |
---|
213 | |
---|
214 | # 2) Ticks labels |
---|
215 | inc_label = 7 if nb_items > 37 else 1 |
---|
216 | ax_conso.ticklabel_format(axis="y", style="sci", scilimits=(0, 0)) |
---|
217 | ax_conso.set_xticks(xcoord, minor=True) |
---|
218 | ax_conso.set_xticks(xcoord[::inc_label], minor=False) |
---|
219 | ax_conso.set_xticklabels( |
---|
220 | xlabels[::inc_label], rotation="45", size="x-small" |
---|
221 | ) |
---|
222 | |
---|
223 | # 3) Define axes title |
---|
224 | ax_conso.set_ylabel("heures", fontweight="bold") |
---|
225 | ax_theo.set_ylabel("%", fontweight="bold") |
---|
226 | |
---|
227 | # ... Main title and legend ... |
---|
228 | # ----------------------------- |
---|
229 | ax_conso.set_title(title, fontweight="bold", size="large") |
---|
230 | ax_theo.legend(loc="upper right", fontsize="x-small", frameon=False) |
---|
231 | ax_conso.legend(loc="upper left", fontsize="x-small", frameon=False) |
---|
232 | |
---|
233 | |
---|
234 | # ######################################## |
---|
235 | # def plot_save(img_name, titre): |
---|
236 | # """ |
---|
237 | # """ |
---|
238 | # dpi = 200. |
---|
239 | |
---|
240 | # img_in = os.path.join(DIR["PLOT"], "{}.pdf".format(img_name)) |
---|
241 | |
---|
242 | # with PdfPages(img_in) as pdf: |
---|
243 | # pdf.savefig(dpi=dpi) |
---|
244 | |
---|
245 | # # pdf file's metadata |
---|
246 | # d = pdf.infodict() |
---|
247 | # d["Title"] = titre |
---|
248 | # d["Author"] = os.path.basename(__file__) |
---|
249 | # # d["Subject"] = "Time spent over specific commands during create_ts \ |
---|
250 | # # jobs at IDRIS and four configurations at TGCC" |
---|
251 | # # d["Keywords"] = "bench create_ts TGCC IDRIS ncrcat" |
---|
252 | # # d["CreationDate"] = dt.datetime(2009, 11, 13) |
---|
253 | # # d["ModDate"] = dt.datetime.today() |
---|
254 | |
---|
255 | # if os.path.isdir(DIR["SAVEPLOT"]): |
---|
256 | # img_out = os.path.join(DIR["SAVEPLOT"], |
---|
257 | # "{}_{}.pdf".format(img_name, today)) |
---|
258 | # shutil.copy(img_in, img_out) |
---|
259 | |
---|
260 | |
---|
261 | ######################################## |
---|
262 | def get_arguments(): |
---|
263 | parser = ArgumentParser() |
---|
264 | parser.add_argument("-v", "--verbose", action="store_true", |
---|
265 | help="verbose mode") |
---|
266 | parser.add_argument("-f", "--full", action="store_true", |
---|
267 | help="plot the whole period") |
---|
268 | parser.add_argument("-i", "--increment", action="store", |
---|
269 | type=int, default=1, dest="inc", |
---|
270 | help="sampling increment") |
---|
271 | parser.add_argument("-r", "--range", action="store", nargs=2, |
---|
272 | type=string_to_date, |
---|
273 | help="date range: ssaa-mm-jj ssaa-mm-jj") |
---|
274 | parser.add_argument("-m", "--max", action="store_true", |
---|
275 | help="plot with y_max = allocation") |
---|
276 | parser.add_argument("-s", "--show", action="store_true", |
---|
277 | help="interactive mode") |
---|
278 | parser.add_argument("-d", "--dods", action="store_true", |
---|
279 | help="copy output on dods") |
---|
280 | |
---|
281 | return parser.parse_args() |
---|
282 | |
---|
283 | |
---|
284 | ######################################## |
---|
285 | if __name__ == '__main__': |
---|
286 | |
---|
287 | # .. Initialization .. |
---|
288 | # ==================== |
---|
289 | # ... Command line arguments ... |
---|
290 | # ------------------------------ |
---|
291 | args = get_arguments() |
---|
292 | if args.verbose: |
---|
293 | print(args) |
---|
294 | |
---|
295 | # ... Turn interactive mode off ... |
---|
296 | # --------------------------------- |
---|
297 | if not args.show: |
---|
298 | import matplotlib |
---|
299 | matplotlib.use('Agg') |
---|
300 | |
---|
301 | import matplotlib.pyplot as plt |
---|
302 | # from matplotlib.backends.backend_pdf import PdfPages |
---|
303 | |
---|
304 | if not args.show: |
---|
305 | plt.ioff() |
---|
306 | |
---|
307 | # ... Files and directories ... |
---|
308 | # ----------------------------- |
---|
309 | (file_param, file_utheo, file_data) = \ |
---|
310 | get_input_files(DIR["SAVEDATA"], |
---|
311 | [OUT["PARAM"], OUT["UTHEO"], OUT["BILAN"]]) |
---|
312 | |
---|
313 | img_name = "bilan" |
---|
314 | today = os.path.basename(file_param).strip(OUT["PARAM"]) |
---|
315 | |
---|
316 | if args.verbose: |
---|
317 | print(file_param) |
---|
318 | print(file_utheo) |
---|
319 | print(file_data) |
---|
320 | print(img_name) |
---|
321 | print(today) |
---|
322 | |
---|
323 | # .. Get project info .. |
---|
324 | # ====================== |
---|
325 | gencmip6 = Project() |
---|
326 | gencmip6.fill_data(file_param) |
---|
327 | gencmip6.get_date_init(file_utheo) |
---|
328 | |
---|
329 | # .. Fill in conso data .. |
---|
330 | # ======================== |
---|
331 | # ... Initialization ... |
---|
332 | # ---------------------- |
---|
333 | bilan = BilanDict() |
---|
334 | bilan.init_range(gencmip6.date_init, gencmip6.deadline) |
---|
335 | # ... Extract data from file ... |
---|
336 | # ------------------------------ |
---|
337 | bilan.fill_data(file_data) |
---|
338 | # ... Compute theoratical use from known data ... |
---|
339 | # ------------------------------------------------ |
---|
340 | bilan.theo_equation() |
---|
341 | |
---|
342 | # .. Extract data depending on C.L. arguments .. |
---|
343 | # ============================================== |
---|
344 | if args.full: |
---|
345 | selected_items = bilan.get_items_in_full_range(args.inc) |
---|
346 | elif args.range: |
---|
347 | selected_items = bilan.get_items_in_range( |
---|
348 | args.range[0], args.range[1], args.inc |
---|
349 | ) |
---|
350 | else: |
---|
351 | selected_items = bilan.get_items(args.inc) |
---|
352 | |
---|
353 | # .. Compute data to be plotted .. |
---|
354 | # ================================ |
---|
355 | nb_items = len(selected_items) |
---|
356 | |
---|
357 | xcoord = np.linspace(1, nb_items, num=nb_items) |
---|
358 | xlabels = ["{:%d-%m}".format(item.date) |
---|
359 | for item in selected_items] |
---|
360 | cumul = np.array([item.conso for item in selected_items], |
---|
361 | dtype=float) |
---|
362 | consos = [] |
---|
363 | consos.append(cumul[0]) |
---|
364 | consos[1:nb_items] = cumul[1:nb_items] - cumul[0:nb_items-1] |
---|
365 | consos = np.array(consos, dtype=float) |
---|
366 | |
---|
367 | conso_per_day = np.array([gencmip6.alloc / nb_items |
---|
368 | for item in selected_items], dtype=float) |
---|
369 | |
---|
370 | theo_uses = np.array([100.*item.theo_use for item in selected_items], |
---|
371 | dtype=float) |
---|
372 | real_uses = np.array([100.*item.real_use for item in selected_items], |
---|
373 | dtype=float) |
---|
374 | theo_equs = np.array([100.*item.theo_equ for item in selected_items], |
---|
375 | dtype=float) |
---|
376 | |
---|
377 | # .. Plot stuff .. |
---|
378 | # ================ |
---|
379 | # ... Initialize figure ... |
---|
380 | # ------------------------- |
---|
381 | (fig, ax_conso, ax_theo) = plot_init() |
---|
382 | |
---|
383 | # ... Plot data ... |
---|
384 | # ----------------- |
---|
385 | plot_data(ax_conso, ax_theo, xcoord, xlabels, |
---|
386 | consos, conso_per_day, theo_uses, real_uses, theo_equs) |
---|
387 | |
---|
388 | # ... Tweak figure ... |
---|
389 | # -------------------- |
---|
390 | if args.max: |
---|
391 | ymax = gencmip6.alloc |
---|
392 | else: |
---|
393 | ymax = np.nanmax(consos) + np.nanmax(consos)*.1 |
---|
394 | |
---|
395 | title = "Consommation {}\n({:%d/%m/%Y} - {:%d/%m/%Y})".format( |
---|
396 | gencmip6.project.upper(), |
---|
397 | gencmip6.date_init, |
---|
398 | gencmip6.deadline |
---|
399 | ) |
---|
400 | |
---|
401 | plot_config(ax_conso, ax_theo, xcoord, xlabels, ymax, title) |
---|
402 | |
---|
403 | # ... Save figure ... |
---|
404 | # ------------------- |
---|
405 | img_in = os.path.join(DIR["PLOT"], "{}.pdf".format(img_name)) |
---|
406 | img_out = os.path.join(DIR["SAVEPLOT"], |
---|
407 | "{}_{}.pdf".format(img_name, today)) |
---|
408 | |
---|
409 | plot_save(img_in, img_out, "Conso GENCMIP6") |
---|
410 | |
---|
411 | # ... Publish figure on dods ... |
---|
412 | # ------------------------------ |
---|
413 | if args.dods: |
---|
414 | dods_cp(img_in) |
---|
415 | |
---|
416 | if args.show: |
---|
417 | plt.show() |
---|
418 | |
---|
419 | exit(0) |
---|