1 | #!/usr/bin/env python |
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2 | # -*- coding: utf-8 -*- |
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3 | |
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4 | # this must come first |
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5 | from __future__ import print_function, unicode_literals, division |
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6 | |
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7 | # standard library imports |
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8 | from argparse import ArgumentParser |
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9 | import os |
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10 | import os.path |
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11 | import numpy as np |
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12 | import matplotlib.pyplot as plt |
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13 | from matplotlib.backends.backend_pdf import PdfPages |
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14 | |
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15 | # Application library imports |
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16 | from gencmip6 import * |
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17 | from gencmip6_path import * |
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18 | |
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19 | |
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20 | ######################################## |
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21 | class DirVolume(object): |
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22 | #--------------------------------------- |
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23 | def __init__(self, date, login, dirname, size): |
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24 | self.date = date |
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25 | self.login = login |
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26 | self.dirname = dirname |
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27 | self.dirsize = size |
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28 | |
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29 | #--------------------------------------- |
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30 | def __repr__(self): |
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31 | return "{}={}".format(self.dirname, self.dirsize) |
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32 | |
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33 | |
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34 | ######################################## |
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35 | class StoreDict(dict): |
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36 | #--------------------------------------- |
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37 | def __init__(self): |
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38 | self = {} |
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39 | |
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40 | #--------------------------------------- |
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41 | def fill_data(self, filein): |
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42 | data = np.genfromtxt( |
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43 | filein, |
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44 | skip_header=1, |
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45 | converters={0: string_to_date, |
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46 | 1: str, |
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47 | 2: string_to_size_unit, |
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48 | 3: str}, |
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49 | missing_values="nan", |
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50 | ) |
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51 | |
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52 | for date, login, dirsize, dirname in data: |
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53 | self.add_item(date, login, dirsize, dirname) |
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54 | |
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55 | #--------------------------------------- |
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56 | def add_item(self, date, login, dirsize, dirname): |
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57 | """ |
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58 | """ |
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59 | if login not in self: |
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60 | self[login] = Login(date, login) |
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61 | self[login].add_directory(date, login, dirsize, dirname) |
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62 | |
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63 | #--------------------------------------- |
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64 | def get_items(self): |
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65 | """ |
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66 | """ |
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67 | items = (subitem for item in self.itervalues() |
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68 | for subitem in item.listdir) |
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69 | items = sorted(items, key=lambda item: item.login) |
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70 | |
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71 | return items |
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72 | |
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73 | #--------------------------------------- |
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74 | def get_items_by_name(self, pattern): |
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75 | """ |
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76 | """ |
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77 | items = (subitem for item in self.itervalues() |
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78 | for subitem in item.listdir |
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79 | if pattern in subitem.dirname) |
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80 | items = sorted(items, key=lambda item: item.login) |
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81 | |
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82 | return items |
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83 | |
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84 | |
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85 | ######################################## |
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86 | class Login(object): |
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87 | #--------------------------------------- |
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88 | def __init__(self, date, login): |
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89 | self.date = date |
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90 | self.login = login |
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91 | self.total = SizeUnit(0., "K") |
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92 | self.listdir = [] |
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93 | |
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94 | #--------------------------------------- |
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95 | def __repr__(self): |
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96 | return "{}/{:%F}: {}".format(self.login, self.date, self.listdir) |
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97 | |
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98 | #--------------------------------------- |
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99 | def add_to_total(self, dirsize): |
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100 | """ |
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101 | """ |
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102 | somme = self.total.convert_size("K").size + \ |
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103 | dirsize.convert_size("K").size |
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104 | self.total = SizeUnit(somme, "K") |
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105 | |
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106 | #--------------------------------------- |
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107 | def add_directory(self, date, login, dirsize, dirname): |
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108 | """ |
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109 | """ |
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110 | self.listdir.append(DirVolume(date, login, dirname, dirsize)) |
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111 | self.add_to_total(dirsize) |
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112 | |
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113 | |
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114 | ######################################## |
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115 | def plot_init(): |
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116 | paper_size = np.array([29.7, 21.0]) |
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117 | fig, ax = plt.subplots(figsize=(paper_size/2.54)) |
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118 | |
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119 | return fig, ax |
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120 | |
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121 | |
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122 | ######################################## |
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123 | def plot_data(ax, coords, ylabels, values): |
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124 | """ |
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125 | """ |
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126 | ax.barh(coords, values, align="center", color="linen", |
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127 | linewidth=0.2, label="volume sur STORE ($To$)") |
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128 | |
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129 | |
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130 | ######################################## |
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131 | def plot_config(ax, coords, ylabels, dirnames, title, tot_volume): |
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132 | """ |
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133 | """ |
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134 | # ... Config axes ... |
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135 | # ------------------- |
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136 | # 1) Range |
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137 | ymin, ymax = coords[0]-1, coords[-1]+1 |
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138 | ax.set_ylim(ymin, ymax) |
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139 | |
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140 | # 2) Ticks labels |
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141 | ax.ticklabel_format(axis="x", style="sci", scilimits=(0, 0)) |
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142 | ax.set_yticks(coords, minor=False) |
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143 | ax.set_yticklabels(ylabels, size="x-small", fontweight="bold") |
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144 | ax.invert_yaxis() |
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145 | |
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146 | xmin, xmax = ax.get_xlim() |
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147 | xpos = xmin + (xmax-xmin)/50. |
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148 | for (ypos, text) in zip(coords, dirnames): |
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149 | ax.text(s=text, x=xpos, y=ypos, va="center", ha="left", |
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150 | size="xx-small", color="gray", style="italic") |
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151 | |
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152 | # 3) Define axes title |
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153 | ax.set_xlabel("$To$", fontweight="bold") |
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154 | |
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155 | # ... Main title and legend ... |
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156 | # ----------------------------- |
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157 | ax.set_title(title, fontweight="bold", size="large") |
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158 | ax.legend(loc="best", fontsize="x-small", frameon=False) |
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159 | |
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160 | tot_label = "volume total = {}".format(tot_volume) |
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161 | plt.figtext(x=0.95, y=0.93, s=tot_label, backgroundcolor="linen", |
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162 | ha="right", va="bottom", fontsize="small") |
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163 | |
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164 | |
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165 | ######################################## |
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166 | def plot_save(img_name): |
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167 | """ |
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168 | """ |
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169 | dpi = 200. |
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170 | |
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171 | with PdfPages(img_name) as pdf: |
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172 | pdf.savefig(dpi=dpi) |
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173 | |
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174 | # pdf file's metadata |
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175 | d = pdf.infodict() |
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176 | d["Title"] = "Occupation GENCMIP6 sur STORE par login" |
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177 | d["Author"] = "plot_bilan.py" |
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178 | # d["Subject"] = "Time spent over specific commands during create_ts \ |
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179 | # jobs at IDRIS and four configurations at TGCC" |
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180 | # d["Keywords"] = "bench create_ts TGCC IDRIS ncrcat" |
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181 | # d["CreationDate"] = dt.datetime(2009, 11, 13) |
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182 | # d["ModDate"] = dt.datetime.today() |
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183 | |
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184 | |
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185 | ######################################## |
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186 | def get_arguments(): |
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187 | parser = ArgumentParser() |
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188 | parser.add_argument("-v", "--verbose", action="store_true", |
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189 | help="Verbose mode") |
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190 | parser.add_argument("-f", "--full", action="store_true", |
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191 | help="plot all the directories in IGCM_OUT" + |
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192 | "(default: plot IPSLCM6 directories)") |
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193 | parser.add_argument("-p", "--pattern", action="store", |
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194 | default="IPSLCM6", |
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195 | help="plot the whole period") |
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196 | |
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197 | return parser.parse_args() |
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198 | |
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199 | |
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200 | ######################################## |
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201 | if __name__ == '__main__': |
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202 | |
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203 | # .. Initialization .. |
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204 | # ==================== |
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205 | # ... Command line arguments ... |
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206 | # ------------------------------ |
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207 | args = get_arguments() |
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208 | if args.verbose: |
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209 | print(args) |
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210 | |
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211 | # ... Files and directories ... |
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212 | # ----------------------------- |
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213 | file_param = get_last_file(DIR["DATA"], OUT["PARAM"]) |
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214 | file_utheo = get_last_file(DIR["DATA"], OUT["UTHEO"]) |
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215 | file_store = get_last_file(DIR["DATA"], OUT["STORE"]) |
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216 | img_name = "bilan.pdf" |
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217 | |
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218 | if args.verbose: |
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219 | print(file_param) |
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220 | print(file_utheo) |
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221 | print(file_store) |
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222 | print(img_name) |
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223 | |
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224 | # .. Get project info .. |
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225 | # ====================== |
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226 | gencmip6 = Project() |
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227 | gencmip6.fill_data(file_param) |
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228 | gencmip6.get_date_init(file_utheo) |
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229 | |
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230 | # .. Fill in data dict .. |
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231 | # ======================= |
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232 | stores = StoreDict() |
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233 | stores.fill_data(file_store) |
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234 | |
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235 | # .. Extract data depending on C.L. arguments .. |
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236 | # ============================================== |
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237 | if args.full: |
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238 | selected_items = stores.get_items() |
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239 | else: |
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240 | selected_items = stores.get_items_by_name(args.pattern) |
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241 | |
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242 | if args.verbose: |
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243 | for item in selected_items: |
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244 | print( |
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245 | "{:8s} {:%F} {} {:>18s} {} ".format( |
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246 | item.login, |
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247 | item.date, |
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248 | item.dirsize, |
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249 | item.dirsize.convert_size("K"), |
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250 | item.dirname, |
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251 | ) |
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252 | ) |
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253 | |
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254 | # .. Compute data to be plotted .. |
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255 | # ================================ |
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256 | ylabels = [item.login for item in selected_items] |
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257 | values = np.array([item.dirsize.convert_size("T").size |
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258 | for item in selected_items], |
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259 | dtype=float) |
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260 | dirnames = [item.dirname for item in selected_items] |
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261 | date = selected_items[0].date |
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262 | |
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263 | nb_items = len(ylabels) |
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264 | coords = np.linspace(1, nb_items, num=nb_items) |
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265 | |
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266 | # .. Plot stuff .. |
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267 | # ================ |
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268 | # ... Initialize figure ... |
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269 | # ------------------------- |
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270 | (fig, ax) = plot_init() |
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271 | |
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272 | # ... Plot data ... |
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273 | # ----------------- |
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274 | plot_data(ax, coords, ylabels, values) |
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275 | |
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276 | # ... Tweak figure ... |
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277 | # -------------------- |
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278 | title = "Occupation {} de STORE par login\n{:%d/%m/%Y}".format( |
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279 | gencmip6.project.upper(), |
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280 | date |
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281 | ) |
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282 | plot_config(ax, coords, ylabels, dirnames, title, |
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283 | SizeUnit(np.sum(values), "T")) |
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284 | |
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285 | # ... Save figure ... |
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286 | # ------------------- |
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287 | plot_save(os.path.join(DIR["PLOT"], img_name)) |
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288 | |
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289 | plt.show() |
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290 | exit() |
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