#!/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 datetime as dt
import numpy as np
import pprint

# Application library imports
from libconso import *

pp = pprint.PrettyPrinter(indent=2)


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

  #---------------------------------------
  def init_range(self, date_beg, date_end, inc=1):
    """
    """
    delta = date_end - date_beg + dt.timedelta(days=1)

    (deb, fin) = (0, int(delta.total_seconds() / 3600))

    dates = (date_beg + dt.timedelta(hours=i)
             for i in xrange(deb, fin, inc))

    for date in dates:
      self.add_item(date)

  #---------------------------------------
  def fill_data(self, file_list, projet, mode="project"):
    """
    """

    for filein in sorted(file_list):
      filedate = dt.datetime.strptime(
        os.path.basename(filein).split("_")[-1],
        "%Y%m%d"
      )
      if filedate < projet.date_init or \
         filedate > projet.deadline:
        continue

      try:
        data = np.genfromtxt(
          filein,
          skip_header=1,
          converters={
            0: string_to_datetime,
            1: float,
            2: float,
          },
          missing_values="nan",
        )
      except Exception as rc:
        print("Problem with file {} :\n{}".format(filein, rc))
        exit(1)

      for date, run, pen in data:
        date = dt.datetime(
          date.year,
          date.month,
          date.day,
          date.hour,
          0
        )

        if mode == "project":
          # self.add_item(
          #   date=date,
          #   runp=run,
          #   penp=pen,
          # )
          self[date].runp = run
          self[date].penp = pen
        elif mode == "machine":
          # self.add_item(
          #   date=date,
          #   runf=run,
          #   penf=pen,
          # )
          self[date].runf = run
          self[date].penf = pen
        self[date].fill()

  #---------------------------------------
  def add_item(self, date, runp=np.nan, penp=np.nan, runf=np.nan, penf=np.nan):
    """
    """
    self[date] = Conso(
      date,
      runp,
      penp,
      runf,
      penf,
    )

  #---------------------------------------
  def get_items_in_range(self, date_beg, date_end, inc=1):
    """
    """
    items = (item for item in self.itervalues()
                   if item.date >= date_beg and
                      item.date <= date_end)
    items = sorted(items, key=lambda item: item.date)

    return items[::inc]

  #---------------------------------------
  def get_items(self, inc=1):
    """
    """
    items = (item for item in self.itervalues()
                   if item.isfilled())
    items = sorted(items, key=lambda item: item.date)

    return items[::inc]


class Conso(object):
  #---------------------------------------
  def __init__(self, date, runp=np.nan, penp=np.nan, runf=np.nan, penf=np.nan):

    self.date     = date
    self.runp     = runp
    self.penp     = penp
    self.runf     = runf
    self.penf     = penf
    self.filled   = False

  #---------------------------------------
  def __repr__(self):
    return "R{:.0f} P{:.0f}".format(
      self.runp,
      self.penp,
    )

  #---------------------------------------
  def isfilled(self):
    return self.filled

  #---------------------------------------
  def fill(self):
    self.filled = True


########################################
def plot_init():
  paper_size  = np.array([29.7, 21.0])
  fig, (ax_jobsp, ax_jobsf) = plt.subplots(
    nrows=2,
    ncols=1,
    sharex=True,
    squeeze=True,
    figsize=(paper_size/2.54)
  )

  return fig, ax_jobsp, ax_jobsf


########################################
def plot_data(
  ax_jobsp, ax_jobsf, xcoord, dates,
  runp, penp, runf, penf
):
  """
  """
  line_width = 0.
  width = 1.05

  ax_jobsp.bar(
    xcoord, runp, width=width,
    linewidth=line_width, align="center",
    color="lightgreen", ecolor="green", antialiased=True,
    label="jobs running"
  )
  ax_jobsp.bar(
    xcoord, penp, bottom=runp, width=width,
    linewidth=line_width, align="center",
    color="firebrick", antialiased=True,
    label="jobs pending"
  )

  ax_jobsf.bar(
    xcoord, runf, width=width,
    linewidth=line_width, align="center",
    color="lightgreen", ecolor="green", antialiased=True,
    label="jobs running"
  )
  ax_jobsf.bar(
    xcoord, penf, bottom=runf, width=width,
    linewidth=line_width, align="center",
    color="firebrick", antialiased=True,
    label="jobs pending\n(Ressources & Priority)"
  )


########################################
def plot_config(
  fig, ax_jobsp, ax_jobsf, xcoord, dates,
  title, conso_per_day, conso_per_day_2
):
  """
  """
  from matplotlib.ticker import AutoMinorLocator

  # ... Compute useful stuff ...
  # ----------------------------
  conso_jobsf = 80000.

  multialloc = False
  if conso_per_day_2:
    date_inter = projet.date_init + dt.timedelta(days=projet.days//2)
    if projet.date_init in dates:
      xi = dates.index(projet.date_init)
    else:
      xi = 0

    if projet.deadline in dates:
      xf = dates.index(projet.deadline)
    else:
      xf = len(dates)

    if date_inter in dates:
      xn = dates.index(date_inter)
      yi = conso_per_day
      yf = conso_per_day_2
      multialloc = True
    else:
      if dates[-1] < date_inter:
        xn = xf
        yi = conso_per_day
        yf = conso_per_day
      elif dates[0] > date_inter:
        xn = xi
        yi = conso_per_day_2
        yf = conso_per_day_2

  print("config")

  # ... Config axes ...
  # -------------------
  # 1) Range
  xmin, xmax = xcoord[0]-1, xcoord[-1]+1
  if multialloc:
    ymax_jobsp = 4. * max(yi, yf)
  else:
    ymax_jobsp = 4. * yi
  ymax_jobsf = 4. * conso_jobsf
  ax_jobsp.set_xlim(xmin, xmax)
  ax_jobsp.set_ylim(0, ymax_jobsp)
  ax_jobsf.set_ylim(0, ymax_jobsf)

  # 2) Plot ideal daily consumption
  line_color = "blue"
  line_alpha = 0.5
  line_label = "conso journalière idéale"
  ax_jobsp.plot(
    [xi, xn, xn, xf], [yi, yi, yf, yf],
    color=line_color, alpha=line_alpha, label=line_label,
  )
  ax_jobsf.axhline(
    y=conso_jobsf,
    color=line_color, alpha=line_alpha
  )

  # 3) Ticks labels
  (date_beg, date_end) = (dates[0], dates[-1])

  if date_end - date_beg > dt.timedelta(weeks=9):
    date_fmt = "{:%d-%m}"
    maj_xticks = [x for x, d in zip(xcoord, dates)
                     if d.weekday() == 0 and d.hour == 0]
    maj_xlabs  = [date_fmt.format(d) for d in dates
                     if d.weekday() == 0 and d.hour == 0]
  else:
    date_fmt = "{:%d-%m %Hh}"
    maj_xticks = [x for x, d in zip(xcoord, dates)
                     if d.hour == 0 or d.hour == 12]
    maj_xlabs  = [date_fmt.format(d) for d in dates
                     if d.hour == 0 or d.hour == 12]

  ax_jobsf.set_xticks(xcoord, minor=True)
  ax_jobsf.set_xticks(maj_xticks, minor=False)
  ax_jobsf.set_xticklabels(maj_xlabs, rotation="vertical", size="x-small")

  for ax in (ax_jobsp, ax_jobsf):
    minor_locator = AutoMinorLocator()
    ax.yaxis.set_minor_locator(minor_locator)

  yticks = list(ax_jobsp.get_yticks())
  yticks.append(conso_per_day)
  if multialloc:
    yticks.append(conso_per_day_2)
  ax_jobsp.set_yticks(yticks)

  yticks = list(ax_jobsf.get_yticks())
  yticks.append(conso_jobsf)
  ax_jobsf.set_yticks(yticks)

  for x, d in zip(xcoord, dates):
    if d.weekday() == 0 and d.hour == 0:
      for ax in (ax_jobsp, ax_jobsf):
        ax.axvline(x=x, color="black", linewidth=1., linestyle=":")

  # 4) Define axes title
  for ax, label in (
    (ax_jobsp, "cœurs (projet)"),
    (ax_jobsf, "cœurs (machine)"),
  ):
    ax.set_ylabel(label, fontweight="bold")
    ax.tick_params(axis="y", labelsize="small")

  # 5) Define plot size
  fig.subplots_adjust(
    left=0.08,
    bottom=0.09,
    right=0.93,
    top=0.93,
    hspace=0.1,
    wspace=0.1,
  )

  # ... Main title and legend ...
  # -----------------------------
  fig.suptitle(title, fontweight="bold", size="large")
  # ax_jobsp.legend(loc="upper right", fontsize="x-small", frameon=False)
  for ax, subtitle, loc_legend in (
    (ax_jobsp, "Projet", "upper right"),
    (ax_jobsf, "Tout Curie", "upper right"),
  ):
    ax.legend(loc=loc_legend, fontsize="x-small", frameon=False)
    ax.set_title(subtitle, loc="left")


########################################
def get_arguments():
  parser = ArgumentParser()
  parser.add_argument("-v", "--verbose", action="store_true",
                      help="verbose mode")
  parser.add_argument("-i", "--increment", action="store",
                      type=int, default=1, dest="inc",
                      help="sampling increment")
  parser.add_argument("-r", "--range", action="store", nargs=2,
                      type=string_to_date,
                      help="date range: ssaa-mm-jj ssaa-mm-jj")
  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()

  # ... Constants ...
  # -----------------
  WEEK_NB = 3

  # ... 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) = \
      get_input_files(DIR["SAVEDATA"], [OUT["PARAM"], OUT["UTHEO"]])

  jobsp_file_list = glob.glob(
    os.path.join(DIR["SAVEDATA"], "OUT_JOBS_PENDING_*")
  )
  jobsf_file_list = glob.glob(
    os.path.join(DIR["SAVEDATA"], "OUT_JOBS_PEN_FULL_*")
  )

  img_name = os.path.splitext(
               os.path.basename(__file__)
             )[0].replace("plot_", "")

  today   = dt.datetime.today()
  weeknum = today.isocalendar()[1]

  if args.verbose:
    fmt_str = "{:10s} : {}"
    print(fmt_str.format("args", args))
    print(fmt_str.format("today", today))
    print(fmt_str.format("file_param", file_param))
    print(fmt_str.format("file_utheo", file_utheo))
    print(fmt_str.format("jobsp", jobsp_file_list))
    print(fmt_str.format("jobsf", jobsf_file_list))
    print(fmt_str.format("img_name", img_name))

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

  # .. Fill in data ..
  # ==================
  # ... Initialization ...
  # ----------------------
  bilan = DataDict()
  bilan.init_range(projet.date_init, projet.deadline)
  # ... Extract data from file ...
  # ------------------------------
  bilan.fill_data(jobsp_file_list, projet, mode="project")
  bilan.fill_data(jobsf_file_list, projet, mode="machine")

  # .. Extract data depending on C.L. arguments ..
  # ==============================================
  if args.range:
    selected_items = bilan.get_items_in_range(
      args.range[0], args.range[1], args.inc
    )
  else:
    range_end   = today
    range_start = (
      range_end + dt.timedelta(weeks=-WEEK_NB) - dt.timedelta(days=1)
    )
    selected_items = bilan.get_items_in_range(
      range_start, range_end, args.inc
    )

  # .. Compute data to be plotted ..
  # ================================
  nb_items = len(selected_items)

  xcoord   = np.linspace(1, nb_items, num=nb_items)
  dates  = [item.date for item in selected_items]

  runp = np.array([item.runp for item in selected_items],
                   dtype=float)
  penp = np.array([item.penp for item in selected_items],
                   dtype=float)
  runf = np.array([item.runf for item in selected_items],
                   dtype=float)
  penf = np.array([item.penf for item in selected_items],
                   dtype=float)

  if projet.project == "gencmip6":
    alloc1 = (1 * projet.alloc) / 3
    alloc2 = (2 * projet.alloc) / 3
    conso_per_day   = 2 * alloc1 / (projet.days * 24.)
    conso_per_day_2 = 2 * alloc2 / (projet.days * 24.)
  else:
    conso_per_day = projet.alloc / (projet.days * 24.)
    conso_per_day_2 = None

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

  # ... Plot data ...
  # -----------------
  plot_data(
    ax_jobsp, ax_jobsf, xcoord, dates,
    runp, penp, runf, penf
  )

  # ... Tweak figure ...
  # --------------------
  title = "Suivi des jobs {}\n({:%d/%m/%Y} - {:%d/%m/%Y})".format(
    projet.project.upper(),
    projet.date_init,
    projet.deadline
  )

  plot_config(
    fig, ax_jobsp, ax_jobsf,
    xcoord, dates, title, 
    conso_per_day, conso_per_day_2
  )

  # ... Save figure ...
  # -------------------
  img_in  = os.path.join(DIR["PLOT"], "{}.pdf".format(img_name))
  img_out = os.path.join(DIR["SAVEPLOT"],
                         "{}_w{:02d}.pdf".format(img_name, weeknum))

  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)