[2411] | 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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[2413] | 15 | # Application library imports |
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[2411] | 16 | from gencmip6 import * |
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[2413] | 17 | from gencmip6_path import * |
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[2411] | 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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[2417] | 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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[2411] | 217 | |
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[2417] | 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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[2411] | 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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[2413] | 287 | plot_save(os.path.join(DIR["PLOT"], img_name)) |
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[2411] | 288 | |
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| 289 | plt.show() |
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| 290 | exit() |
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