source: TOOLS/ConsoGENCMIP6/bin/plot_store.py @ 2460

#!/usr/bin/env python
# -*- coding: utf-8 -*-

# this must come first
from __future__ import print_function, unicode_literals, division

# standard library imports
from argparse import ArgumentParser
import os
import os.path
import numpy as np
# import matplotlib.pyplot as plt
# from matplotlib.backends.backend_pdf import PdfPages

# Application library imports
from libconso import *


########################################
class DirVolume(object):
  #---------------------------------------
  def __init__(self, date, login, dirname, size):
    self.date  = date
    self.login = login
    self.dirname = dirname
    self.dirsize = size

  #---------------------------------------
  def __repr__(self):
    return "{}={}".format(self.dirname, self.dirsize)


########################################
class StoreDict(dict):
  #---------------------------------------
  def __init__(self):
    self = {}

  #---------------------------------------
  def fill_data(self, filein):
    """
    """
    try:
      data = np.genfromtxt(
        filein,
        skip_header=1,
        converters={0: string_to_date,
                    1: str,
                    2: string_to_size_unit,
                    3: str},
        missing_values="nan",
      )
    except:
      print("Empty file {}, nothing to plot".format(filein))
      exit(1)

    for date, login, dirsize, dirname in data:
      self.add_item(date, login, dirsize, dirname)

  #---------------------------------------
  def add_item(self, date, login, dirsize, dirname):
    """
    """
    if login not in self:
      self[login] = Login(date, login)
    self[login].add_directory(date, login, dirsize, dirname)

  #---------------------------------------
  def get_items(self):
    """
    """
    items = (subitem for item in self.itervalues()
                     for subitem in item.listdir)
    items = sorted(items, key=lambda item: item.login)

    return items

  #---------------------------------------
  def get_items_by_name(self, pattern):
    """
    """
    items = (subitem for item in self.itervalues()
                     for subitem in item.listdir
                      if pattern in subitem.dirname)
    items = sorted(items, key=lambda item: item.login)

    return items


########################################
class Login(object):
  #---------------------------------------
  def __init__(self, date, login):
    self.date  = date
    self.login = login
    self.total = SizeUnit(0., "K")
    self.listdir = []

  #---------------------------------------
  def __repr__(self):
    return "{}/{:%F}: {}".format(self.login, self.date, self.listdir)

  #---------------------------------------
  def add_to_total(self, dirsize):
    """
    """
    somme = self.total.convert_size("K").size + \
            dirsize.convert_size("K").size
    self.total = SizeUnit(somme, "K")

  #---------------------------------------
  def add_directory(self, date, login, dirsize, dirname):
    """
    """
    self.listdir.append(DirVolume(date, login, dirname, dirsize))
    self.add_to_total(dirsize)


########################################
def plot_init():
  paper_size  = np.array([29.7, 21.0])
  fig, ax = plt.subplots(figsize=(paper_size/2.54))

  return fig, ax


########################################
def plot_data(ax, coords, ylabels, values):
  """
  """
  ax.barh(coords, values, align="center", color="linen",
          linewidth=0.2, label="volume sur STORE ($To$)")


########################################
def plot_config(ax, coords, ylabels, dirnames, title, tot_volume):
  """
  """
  # ... Config axes ...
  # -------------------
  # 1) Range
  ymin, ymax = coords[0]-1, coords[-1]+1
  ax.set_ylim(ymin, ymax)

  # 2) Ticks labels
  ax.ticklabel_format(axis="x", style="sci", scilimits=(0, 0))
  ax.set_yticks(coords, minor=False)
  ax.set_yticklabels(ylabels, size="x-small", fontweight="bold")
  ax.invert_yaxis()

  xmin, xmax = ax.get_xlim()
  xpos = xmin + (xmax-xmin)/50.
  for (ypos, text) in zip(coords, dirnames):
    ax.text(s=text, x=xpos, y=ypos, va="center", ha="left",
                size="xx-small", color="gray", style="italic")

  # 3) Define axes title
  ax.set_xlabel("$To$", fontweight="bold")

  # ... Main title and legend ...
  # -----------------------------
  ax.set_title(title, fontweight="bold", size="large")
  ax.legend(loc="best", fontsize="x-small", frameon=False)

  tot_label = "volume total = {}".format(tot_volume)
  plt.figtext(x=0.95, y=0.93, s=tot_label, backgroundcolor="linen",
              ha="right", va="bottom", fontsize="small")


########################################
def get_arguments():
  parser = ArgumentParser()
  parser.add_argument("-v", "--verbose", action="store_true",
                      help="Verbose mode")
  parser.add_argument("-f", "--full", action="store_true",
                      help="plot all the directories in IGCM_OUT" +
                           "(default: plot IPSLCM6 directories)")
  parser.add_argument("-p", "--pattern", action="store",
                      default="IPSLCM6",
                      help="plot the whole period")
  parser.add_argument("-s", "--show", action="store_true",
                      help="interactive mode")
  parser.add_argument("-d", "--dods", action="store_true",
                      help="copy output on dods")

  return parser.parse_args()


########################################
if __name__ == '__main__':

  # .. Initialization ..
  # ====================
  # ... Command line arguments ...
  # ------------------------------
  args = get_arguments()
  if args.verbose:
    print(args)

  # ... Turn interactive mode off ...
  # ---------------------------------
  if not args.show:
    import matplotlib
    matplotlib.use('Agg')

  import matplotlib.pyplot as plt
  # from matplotlib.backends.backend_pdf import PdfPages

  if not args.show:
    plt.ioff()

  # ... Files and directories ...
  # -----------------------------
  project_name, DIR, OUT = parse_config("bin/config.ini")

  (file_param, file_utheo, file_data) = \
      get_input_files(DIR["SAVEDATA"],
                      [OUT["PARAM"], OUT["UTHEO"], OUT["STORE"]])

  img_name = "store"
  today = os.path.basename(file_param).strip(OUT["PARAM"])

  if args.verbose:
    print(file_param)
    print(file_utheo)
    print(file_data)
    print(img_name)
    print(today)

  # .. Get project info ..
  # ======================
  projet = Project()
  projet.fill_data(file_param)
  projet.get_date_init(file_utheo)

  # .. Fill in data dict ..
  # =======================
  stores = StoreDict()
  stores.fill_data(file_data)

  # .. Extract data depending on C.L. arguments ..
  # ==============================================
  if args.full:
    selected_items = stores.get_items()
  else:
    selected_items = stores.get_items_by_name(args.pattern)

  if args.verbose:
    for item in selected_items:
      print(
        "{:8s} {:%F} {} {:>18s} {} ".format(
          item.login,
          item.date,
          item.dirsize,
          item.dirsize.convert_size("K"),
          item.dirname,
        )
      )

  # .. Compute data to be plotted ..
  # ================================
  ylabels = [item.login for item in selected_items]
  values  = np.array([item.dirsize.convert_size("T").size
                          for item in selected_items],
                     dtype=float)
  dirnames = [item.dirname for item in selected_items]
  date = selected_items[0].date

  nb_items = len(ylabels)
  coords  = np.linspace(1, nb_items, num=nb_items)

  # .. Plot stuff ..
  # ================
  # ... Initialize figure ...
  # -------------------------
  (fig, ax) = plot_init()

  # ... Plot data ...
  # -----------------
  plot_data(ax, coords, ylabels, values)

  # ... Tweak figure ...
  # --------------------
  title = "Occupation {} de STORE par login\n{:%d/%m/%Y}".format(
    projet.project.upper(),
    date
  )
  plot_config(ax, coords, ylabels, dirnames, title,
              SizeUnit(np.sum(values), "T"))

  # ... Save figure ...
  # -------------------
  img_in  = os.path.join(DIR["PLOT"], "{}.pdf".format(img_name))
  img_out = os.path.join(DIR["SAVEPLOT"],
                         "{}_{}.pdf".format(img_name, today))

  plot_save(img_in, img_out, title, DIR)

  # ... Publish figure on dods ...
  # ------------------------------
  if args.dods:
    dods_cp(img_in, DIR)

  if args.show:
    plt.show()

  exit(0)