[2411] | 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 numpy as np |
---|
| 12 | import matplotlib.pyplot as plt |
---|
| 13 | from matplotlib.backends.backend_pdf import PdfPages |
---|
| 14 | |
---|
[2413] | 15 | # Application library imports |
---|
[2411] | 16 | from gencmip6 import * |
---|
[2413] | 17 | from gencmip6_path import * |
---|
[2411] | 18 | |
---|
| 19 | |
---|
| 20 | ######################################## |
---|
| 21 | class LoginDict(dict): |
---|
| 22 | #--------------------------------------- |
---|
| 23 | def __init__(self): |
---|
| 24 | self = {} |
---|
| 25 | |
---|
| 26 | #--------------------------------------- |
---|
| 27 | def fill_data(self, filein): |
---|
| 28 | data = np.genfromtxt( |
---|
| 29 | filein, |
---|
| 30 | skip_header=1, |
---|
| 31 | converters={0: string_to_date, |
---|
| 32 | 1: str}, |
---|
| 33 | missing_values="nan", |
---|
| 34 | ) |
---|
| 35 | |
---|
| 36 | for date, login, conso in data: |
---|
| 37 | self.add_item(date, login, conso) |
---|
| 38 | |
---|
| 39 | #--------------------------------------- |
---|
| 40 | def add_item(self, date, login, conso): |
---|
| 41 | """ |
---|
| 42 | """ |
---|
| 43 | self[login] = Login(date, login, conso) |
---|
| 44 | |
---|
| 45 | #--------------------------------------- |
---|
| 46 | def get_items(self): |
---|
| 47 | """ |
---|
| 48 | """ |
---|
| 49 | items = (item for item in self.itervalues()) |
---|
| 50 | items = sorted(items, key=lambda item: item.login) |
---|
| 51 | |
---|
| 52 | return items |
---|
| 53 | |
---|
| 54 | #--------------------------------------- |
---|
| 55 | def get_items_not_null(self): |
---|
| 56 | """ |
---|
| 57 | """ |
---|
| 58 | items = (item for item in self.itervalues() |
---|
| 59 | if item.conso > 0.) |
---|
| 60 | items = sorted(items, key=lambda item: item.login) |
---|
| 61 | |
---|
| 62 | return items |
---|
| 63 | |
---|
| 64 | |
---|
| 65 | class Login(object): |
---|
| 66 | #--------------------------------------- |
---|
| 67 | def __init__(self, date, login, conso): |
---|
| 68 | self.date = date |
---|
| 69 | self.login = login |
---|
| 70 | self.conso = conso |
---|
| 71 | |
---|
| 72 | #--------------------------------------- |
---|
| 73 | def __repr__(self): |
---|
| 74 | return "{} ({:.2}h)".format(self.login, self.conso) |
---|
| 75 | |
---|
| 76 | |
---|
| 77 | ######################################## |
---|
| 78 | def plot_init(): |
---|
| 79 | paper_size = np.array([29.7, 21.0]) |
---|
| 80 | fig, ax = plt.subplots(figsize=(paper_size/2.54)) |
---|
| 81 | |
---|
| 82 | return fig, ax |
---|
| 83 | |
---|
| 84 | |
---|
| 85 | ######################################## |
---|
| 86 | def plot_data(ax, ycoord, ylabels, consos): |
---|
| 87 | """ |
---|
| 88 | """ |
---|
| 89 | print(ycoord) |
---|
| 90 | print(consos) |
---|
| 91 | |
---|
| 92 | ax.barh(ycoord, consos, align="center", color="linen", |
---|
| 93 | linewidth=0.2, label="conso (heures)") |
---|
| 94 | |
---|
| 95 | |
---|
| 96 | ######################################## |
---|
| 97 | def plot_config(ax, ycoord, ylabels, title): |
---|
| 98 | """ |
---|
| 99 | """ |
---|
| 100 | # ... Config axes ... |
---|
| 101 | # ------------------- |
---|
| 102 | # 1) Range |
---|
| 103 | ymin, ymax = ycoord[0]-1, ycoord[-1]+1 |
---|
| 104 | ax.set_ylim(ymin, ymax) |
---|
| 105 | |
---|
| 106 | # 2) Ticks labels |
---|
| 107 | ax.ticklabel_format(axis="x", style="sci", scilimits=(0, 0)) |
---|
| 108 | ax.set_yticks(ycoord, minor=False) |
---|
| 109 | ax.set_yticklabels(ylabels, size="x-small", fontweight="bold") |
---|
| 110 | ax.invert_yaxis() |
---|
| 111 | |
---|
| 112 | # 3) Define axes title |
---|
| 113 | ax.set_xlabel("heures", fontweight="bold") |
---|
| 114 | |
---|
| 115 | # ... Main title and legend ... |
---|
| 116 | # ----------------------------- |
---|
| 117 | ax.set_title(title, fontweight="bold", size="large") |
---|
| 118 | ax.legend(loc="best", fontsize="x-small", frameon=False) |
---|
| 119 | |
---|
| 120 | |
---|
| 121 | ######################################## |
---|
| 122 | def plot_save(img_name): |
---|
| 123 | """ |
---|
| 124 | """ |
---|
| 125 | dpi = 200. |
---|
| 126 | |
---|
| 127 | with PdfPages(img_name) as pdf: |
---|
| 128 | pdf.savefig(dpi=dpi) |
---|
| 129 | |
---|
| 130 | # pdf file's metadata |
---|
| 131 | d = pdf.infodict() |
---|
| 132 | d["Title"] = "Conso GENCMIP6 par login" |
---|
| 133 | d["Author"] = "plot_bilan.py" |
---|
| 134 | # d["Subject"] = "Time spent over specific commands during create_ts \ |
---|
| 135 | # jobs at IDRIS and four configurations at TGCC" |
---|
| 136 | # d["Keywords"] = "bench create_ts TGCC IDRIS ncrcat" |
---|
| 137 | # d["CreationDate"] = dt.datetime(2009, 11, 13) |
---|
| 138 | # d["ModDate"] = dt.datetime.today() |
---|
| 139 | |
---|
| 140 | |
---|
| 141 | ######################################## |
---|
| 142 | def get_arguments(): |
---|
| 143 | parser = ArgumentParser() |
---|
| 144 | parser.add_argument("-v", "--verbose", action="store_true", |
---|
| 145 | help="Verbose mode") |
---|
| 146 | parser.add_argument("-f", "--full", action="store_true", |
---|
| 147 | help="plot all the logins" + |
---|
| 148 | " (default: plot only non-zero)") |
---|
| 149 | |
---|
| 150 | return parser.parse_args() |
---|
| 151 | |
---|
| 152 | |
---|
| 153 | ######################################## |
---|
| 154 | if __name__ == '__main__': |
---|
| 155 | |
---|
| 156 | # .. Initialization .. |
---|
| 157 | # ==================== |
---|
| 158 | # ... Command line arguments ... |
---|
| 159 | # ------------------------------ |
---|
| 160 | args = get_arguments() |
---|
| 161 | |
---|
| 162 | # ... Files and directories ... |
---|
| 163 | # ----------------------------- |
---|
[2417] | 164 | file_param = get_last_file(DIR["DATA"], OUT["PARAM"]) |
---|
| 165 | file_utheo = get_last_file(DIR["DATA"], OUT["UTHEO"]) |
---|
| 166 | file_login = get_last_file(DIR["DATA"], OUT["LOGIN"]) |
---|
| 167 | img_name = "bilan.pdf" |
---|
[2411] | 168 | |
---|
[2417] | 169 | if args.verbose: |
---|
| 170 | print(file_param) |
---|
| 171 | print(file_utheo) |
---|
| 172 | print(file_login) |
---|
| 173 | print(img_name) |
---|
| 174 | |
---|
[2411] | 175 | # .. Get project info .. |
---|
| 176 | # ====================== |
---|
| 177 | gencmip6 = Project() |
---|
| 178 | gencmip6.fill_data(file_param) |
---|
| 179 | gencmip6.get_date_init(file_utheo) |
---|
| 180 | |
---|
| 181 | # .. Fill in data dict .. |
---|
| 182 | # ======================= |
---|
| 183 | # ... Initialization ... |
---|
| 184 | # ---------------------- |
---|
| 185 | logins = LoginDict() |
---|
| 186 | logins.fill_data(file_login) |
---|
| 187 | |
---|
| 188 | # .. Extract data depending on C.L. arguments .. |
---|
| 189 | # ============================================== |
---|
| 190 | if args.full: |
---|
| 191 | selected_items = logins.get_items() |
---|
| 192 | else: |
---|
| 193 | selected_items = logins.get_items_not_null() |
---|
| 194 | |
---|
| 195 | if args.verbose: |
---|
| 196 | for login in selected_items: |
---|
| 197 | print(login) |
---|
| 198 | |
---|
| 199 | # .. Compute data to be plotted .. |
---|
| 200 | # ================================ |
---|
| 201 | nb_items = len(selected_items) |
---|
| 202 | |
---|
| 203 | ycoord = np.linspace(1, nb_items, num=nb_items) |
---|
| 204 | ylabels = [item.login for item in selected_items] |
---|
| 205 | consos = np.array([item.conso for item in selected_items], |
---|
| 206 | dtype=float) |
---|
| 207 | date = selected_items[0].date |
---|
| 208 | |
---|
| 209 | # .. Plot stuff .. |
---|
| 210 | # ================ |
---|
| 211 | # ... Initialize figure ... |
---|
| 212 | # ------------------------- |
---|
| 213 | (fig, ax) = plot_init() |
---|
| 214 | |
---|
| 215 | # ... Plot data ... |
---|
| 216 | # ----------------- |
---|
| 217 | plot_data(ax, ycoord, ylabels, consos) |
---|
| 218 | |
---|
[2417] | 219 | # ... Tweak figure ... |
---|
| 220 | # -------------------- |
---|
[2411] | 221 | title = "Consommation {} par login\n{:%d/%m/%Y}".format( |
---|
| 222 | gencmip6.project.upper(), |
---|
| 223 | date |
---|
| 224 | ) |
---|
| 225 | plot_config(ax, ycoord, ylabels, title) |
---|
| 226 | |
---|
| 227 | # ... Save figure ... |
---|
| 228 | # ------------------- |
---|
[2413] | 229 | plot_save(os.path.join(DIR["PLOT"], img_name)) |
---|
[2411] | 230 | |
---|
| 231 | plt.show() |
---|
| 232 | exit() |
---|