| 1 | #!/usr/bin/env python |
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| 2 | # -*- coding: utf-8 -*- |
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| 3 | |
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| 4 | # ==================================================================== # |
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| 5 | # Author: Sonia Labetoulle # |
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| 6 | # Contact: sonia.labetoulle _at_ ipsl.jussieu.fr # |
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| 7 | # Created: 2016 # |
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| 8 | # History: # |
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| 9 | # Modification: # |
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| 10 | # ==================================================================== # |
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| 11 | |
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| 12 | # ==================================================================== # |
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| 13 | # ssh readonly@prodiguer-test-db.ipsl.upmc.fr # |
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| 14 | # psql -U prodiguer_db_user prodiguer # |
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| 15 | # # |
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| 16 | # ssh readonly@prodiguer-test-db.ipsl.upmc.fr -L 5432:localhost:5432 # |
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| 17 | # psql -h prodiguer-test-db.ipsl.upmc.fr -U prodiguer_db_user prodiguer |
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| 18 | # ==================================================================== # |
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| 19 | |
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| 20 | # this must come first |
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| 21 | from __future__ import print_function, unicode_literals, division |
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| 22 | # from __future__ import print_function, division |
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| 23 | |
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| 24 | # standard library imports |
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| 25 | from argparse import ArgumentParser |
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| 26 | import datetime as dt |
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| 27 | import numpy as np |
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| 28 | |
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| 29 | # Application library imports |
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| 30 | from libconso import * |
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| 31 | import libconso_db as cdb |
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| 32 | import db_data |
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| 33 | |
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| 34 | |
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| 35 | ######################################################################## |
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| 36 | class PlotData(object): |
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| 37 | # -------------------------------------------------------------------- |
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| 38 | def __init__(self, date_min, date_max): |
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| 39 | self.date_min = date_min |
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| 40 | self.date_max = date_max |
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| 41 | |
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| 42 | self.data = DataDict() |
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| 43 | self.data.init_range(self.date_min, self.date_max) |
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| 44 | |
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| 45 | |
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| 46 | ######################################################################## |
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| 47 | class DataDict(dict): |
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| 48 | # -------------------------------------------------------------------- |
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| 49 | def __init__(self): |
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| 50 | self = {} |
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| 51 | |
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| 52 | # -------------------------------------------------------------------- |
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| 53 | def init_range(self, date_beg, date_end, inc=1): |
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| 54 | """ |
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| 55 | """ |
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| 56 | delta = date_end - date_beg |
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| 57 | |
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| 58 | (deb, fin) = (0, delta.days+1) |
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| 59 | |
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| 60 | dates = (date_beg + dt.timedelta(days=i) |
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| 61 | for i in xrange(deb, fin, inc)) |
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| 62 | |
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| 63 | for date in dates: |
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| 64 | self.add_item(date) |
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| 65 | |
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| 66 | # -------------------------------------------------------------------- |
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| 67 | def fill_data(self, projet): |
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| 68 | """ |
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| 69 | """ |
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| 70 | |
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| 71 | id_condition = ( |
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| 72 | "({})".format( |
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| 73 | " OR ".join( |
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| 74 | [ |
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| 75 | "allocation_id={}".format(item.alloc_id) |
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| 76 | for item in projet.alloc_items |
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| 77 | ] |
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| 78 | ) |
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| 79 | ) |
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| 80 | ) |
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| 81 | |
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| 82 | if args.subproject: |
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| 83 | subp_condition = "sub_project = \'{}\'".format(args.subproject) |
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| 84 | else: |
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| 85 | subp_condition = "sub_project IS NULL" |
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| 86 | |
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| 87 | table_name = "conso.tbl_consumption" |
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| 88 | request = ( |
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| 89 | "SELECT date, total_hrs, allocation_id " |
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| 90 | "FROM " + table_name + " " |
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| 91 | "WHERE login IS NULL " |
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| 92 | # " AND sub_project IS NULL " |
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| 93 | " AND " + subp_condition + " " |
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| 94 | " AND " + id_condition + " " |
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| 95 | "ORDER BY date" |
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| 96 | ";" |
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| 97 | ) |
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| 98 | |
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| 99 | if args.verbose: |
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| 100 | print("Access table \"{}\"".format(table_name)) |
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| 101 | cdb.select_db(cursor, request) |
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| 102 | |
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| 103 | for date, conso, alloc_id in cursor: |
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| 104 | if date.date() in self: |
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| 105 | real_use = conso / projet.alloc |
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| 106 | self.add_item( |
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| 107 | date=date.date(), |
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| 108 | conso=conso, |
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| 109 | real_use=real_use, |
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| 110 | ) |
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| 111 | self[date.date()].fill() |
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| 112 | |
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| 113 | # -------------------------------------------------------------------- |
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| 114 | def add_item(self, date, conso=np.nan, |
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| 115 | real_use=np.nan, theo_use=np.nan, |
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| 116 | run_mean=np.nan, pen_mean=np.nan, |
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| 117 | run_std=np.nan, pen_std=np.nan): |
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| 118 | """ |
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| 119 | """ |
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| 120 | # self[date.date()] = Conso( |
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| 121 | self[date] = Conso( |
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| 122 | date, conso, |
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| 123 | real_use, theo_use, |
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| 124 | run_mean, pen_mean, |
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| 125 | run_std, pen_std |
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| 126 | ) |
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| 127 | |
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| 128 | # -------------------------------------------------------------------- |
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| 129 | def get_items_in_range(self, date_beg, date_end, inc=1): |
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| 130 | """ |
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| 131 | """ |
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| 132 | items = (item for item in self.itervalues() |
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| 133 | if item.date >= date_beg and |
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| 134 | item.date <= date_end) |
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| 135 | items = sorted(items, key=lambda item: item.date) |
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| 136 | |
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| 137 | return items[::inc] |
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| 138 | |
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| 139 | # -------------------------------------------------------------------- |
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| 140 | def get_items_in_full_range(self, inc=1): |
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| 141 | """ |
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| 142 | """ |
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| 143 | |
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| 144 | items = (item for item in self.itervalues()) |
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| 145 | items = sorted(items, key=lambda item: item.date) |
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| 146 | |
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| 147 | return items[::inc] |
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| 148 | |
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| 149 | # -------------------------------------------------------------------- |
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| 150 | def get_items(self, inc=1): |
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| 151 | """ |
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| 152 | """ |
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| 153 | items = (item for item in self.itervalues() |
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| 154 | if item.isfilled()) |
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| 155 | items = sorted(items, key=lambda item: item.date) |
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| 156 | |
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| 157 | return items[::inc] |
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| 158 | |
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| 159 | |
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| 160 | class Conso(object): |
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| 161 | # -------------------------------------------------------------------- |
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| 162 | def __init__(self, date, conso=np.nan, |
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| 163 | real_use=np.nan, theo_use=np.nan, |
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| 164 | run_mean=np.nan, pen_mean=np.nan, |
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| 165 | run_std=np.nan, pen_std=np.nan): |
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| 166 | self.date = date |
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| 167 | self.conso = conso |
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| 168 | self.real_use = real_use |
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| 169 | self.theo_use = theo_use |
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| 170 | self.poly_theo = np.poly1d([]) |
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| 171 | self.poly_delay = np.poly1d([]) |
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| 172 | self.run_mean = run_mean |
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| 173 | self.pen_mean = pen_mean |
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| 174 | self.run_std = run_std |
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| 175 | self.pen_std = pen_std |
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| 176 | self.filled = False |
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| 177 | |
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| 178 | # -------------------------------------------------------------------- |
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| 179 | def __repr__(self): |
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| 180 | return "{:.2f} ({:.2%})".format(self.conso, self.real_use) |
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| 181 | |
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| 182 | # -------------------------------------------------------------------- |
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| 183 | def isfilled(self): |
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| 184 | return self.filled |
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| 185 | |
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| 186 | # -------------------------------------------------------------------- |
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| 187 | def fill(self): |
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| 188 | self.filled = True |
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| 189 | |
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| 190 | |
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| 191 | ######################################################################## |
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| 192 | def plot_init(): |
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| 193 | paper_size = np.array([29.7, 21.0]) |
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| 194 | fig, ax_conso = plt.subplots(figsize=(paper_size * cm2in)) |
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| 195 | # fig, ax_conso = plt.subplots(figsize=(paper_size/2.54)) |
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| 196 | ax_theo = ax_conso.twinx() |
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| 197 | |
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| 198 | return fig, ax_conso, ax_theo |
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| 199 | |
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| 200 | |
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| 201 | ######################################################################## |
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| 202 | def plot_data( |
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| 203 | ax_conso, ax_theo, xcoord, dates, |
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| 204 | consos, real_uses, theo_uses, delay_uses, |
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| 205 | run_mean, pen_mean, run_std, pen_std |
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| 206 | ): |
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| 207 | """ |
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| 208 | """ |
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| 209 | line_style = "-" |
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| 210 | if args.full: |
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| 211 | line_width = 0.05 |
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| 212 | else: |
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| 213 | line_width = 0.1 |
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| 214 | |
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| 215 | ax_conso.bar( |
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| 216 | xcoord, consos, width=1, align="center", color="linen", |
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| 217 | linewidth=line_width, label="conso (heures)" |
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| 218 | ) |
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| 219 | |
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| 220 | ax_theo.plot( |
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| 221 | xcoord, real_uses, line_style, |
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| 222 | color="forestgreen", linewidth=1, markersize=8, |
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| 223 | solid_capstyle="round", solid_joinstyle="round", |
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| 224 | label="conso\nréelle (%)" |
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| 225 | ) |
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| 226 | |
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| 227 | ax_theo.plot( |
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| 228 | xcoord, theo_uses, "--", |
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| 229 | color="firebrick", linewidth=0.5, |
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| 230 | solid_capstyle="round", solid_joinstyle="round", |
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| 231 | label="conso\nthéorique (%)" |
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| 232 | ) |
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| 233 | |
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| 234 | ax_theo.plot( |
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| 235 | xcoord, delay_uses, ":", |
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| 236 | color="firebrick", linewidth=0.5, |
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| 237 | solid_capstyle="round", solid_joinstyle="round", |
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| 238 | label="retard de\ndeux mois (%)" |
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| 239 | ) |
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| 240 | |
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| 241 | |
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| 242 | ######################################################################## |
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| 243 | def plot_config( |
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| 244 | fig, ax_conso, ax_theo, |
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| 245 | xcoord, dates, max_real_use, |
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| 246 | title, faitle, projet, bilan_plot |
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| 247 | ): |
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| 248 | """ |
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| 249 | """ |
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| 250 | from matplotlib.ticker import AutoMinorLocator |
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| 251 | |
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| 252 | # ... Config axes ... |
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| 253 | # ------------------- |
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| 254 | # 1) Range |
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| 255 | conso_max = np.nanmax(consos) |
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| 256 | if args.max: |
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| 257 | ymax = conso_max # + conso_max*.1 |
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| 258 | else: |
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| 259 | ymax = 3. * projet.max_daily_conso |
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| 260 | |
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| 261 | if conso_max > ymax: |
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| 262 | ax_conso.annotate( |
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| 263 | "{:.2e} heures".format(conso_max), |
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| 264 | ha="left", |
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| 265 | va="top", |
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| 266 | fontsize="xx-small", |
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| 267 | bbox=dict(boxstyle="round", fc="w", ec="0.5", color="gray",), |
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| 268 | xy=(np.nanargmax(consos)+1.2, ymax), |
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| 269 | textcoords="axes fraction", |
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| 270 | xytext=(0.01, 0.9), |
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| 271 | arrowprops=dict( |
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| 272 | arrowstyle="->", |
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| 273 | shrinkA=0, |
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| 274 | shrinkB=0, |
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| 275 | color="gray", |
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| 276 | ), |
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| 277 | ) |
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| 278 | |
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| 279 | xmin, xmax = xcoord[0]-1, xcoord[-1]+1 |
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| 280 | ax_conso.set_xlim(xmin, xmax) |
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| 281 | ax_conso.set_ylim(0., ymax) |
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| 282 | ax_theo.set_ylim(0., 100) |
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| 283 | |
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| 284 | # 2) Plot ideal daily consumption in hours |
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| 285 | # Plot last real use value |
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| 286 | x_list = [] |
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| 287 | y_list = [] |
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| 288 | conso_yticks = list(ax_conso.get_yticks()) |
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| 289 | for item in projet.alloc_items: |
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| 290 | x_list.extend([item.xi, item.xf]) |
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| 291 | y_list.extend([item.daily_conso, item.daily_conso]) |
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| 292 | conso_yticks.append(item.daily_conso) |
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| 293 | line_alpha = 0.5 |
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| 294 | line_label = "conso journaliÚre\nidéale (heures)" |
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| 295 | ax_conso.plot( |
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| 296 | x_list, y_list, |
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| 297 | linewidth=0.5, |
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| 298 | color="blue", |
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| 299 | alpha=line_alpha, |
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| 300 | label=line_label, |
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| 301 | ) |
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| 302 | |
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| 303 | theo_yticks = list(ax_theo.get_yticks()) |
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| 304 | theo_yticks.append(max_real_use) |
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| 305 | ax_theo.axhline( |
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| 306 | y=max_real_use, |
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| 307 | linestyle=":", linewidth=0.5, |
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| 308 | color="green", alpha=line_alpha, |
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| 309 | ) |
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| 310 | |
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| 311 | # 3) Ticks labels |
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| 312 | (date_beg, date_end) = (dates[0], dates[-1]) |
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| 313 | date_fmt = "{:%d-%m}" |
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| 314 | |
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| 315 | if date_end - date_beg > dt.timedelta(weeks=9): |
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| 316 | maj_xticks = [x for x, d in zip(xcoord, dates) |
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| 317 | if d.weekday() == 0] |
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| 318 | maj_xlabs = [date_fmt.format(d) for d in dates |
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| 319 | if d.weekday() == 0] |
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| 320 | else: |
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| 321 | maj_xticks = [x for x, d in zip(xcoord, dates)] |
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| 322 | maj_xlabs = [date_fmt.format(d) for d in dates] |
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| 323 | |
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| 324 | ax_conso.ticklabel_format(axis="y", style="sci", scilimits=(0, 0)) |
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| 325 | |
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| 326 | ax_conso.set_xticks(xcoord, minor=True) |
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| 327 | ax_conso.set_xticks(maj_xticks, minor=False) |
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| 328 | ax_conso.set_xticklabels( |
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| 329 | maj_xlabs, rotation="vertical", size="x-small" |
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| 330 | ) |
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| 331 | |
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| 332 | minor_locator = AutoMinorLocator() |
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| 333 | ax_conso.yaxis.set_minor_locator(minor_locator) |
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| 334 | minor_locator = AutoMinorLocator() |
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| 335 | ax_theo.yaxis.set_minor_locator(minor_locator) |
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| 336 | |
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| 337 | ax_conso.set_yticks(conso_yticks) |
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| 338 | ax_theo.set_yticks(theo_yticks) |
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| 339 | |
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| 340 | ax_theo.spines["right"].set_color("firebrick") |
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| 341 | ax_theo.tick_params(colors="firebrick") |
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| 342 | ax_theo.yaxis.label.set_color("firebrick") |
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| 343 | |
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| 344 | for x, d in zip(xcoord, dates): |
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| 345 | if d.weekday() == 0: |
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| 346 | ax_conso.axvline( |
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| 347 | x=x, color="gray", alpha=0.5, |
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| 348 | linewidth=0.5, linestyle=":" |
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| 349 | ) |
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| 350 | |
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| 351 | # 4) Define axes title |
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| 352 | for ax, label in ( |
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| 353 | (ax_conso, "heures"), |
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| 354 | (ax_theo, "%"), |
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| 355 | ): |
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| 356 | ax.set_ylabel(label, fontweight="bold") |
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| 357 | ax.tick_params(axis="y", labelsize="small") |
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| 358 | |
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| 359 | # 5) Define plot size |
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| 360 | fig.subplots_adjust( |
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| 361 | left=0.08, |
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| 362 | bottom=0.09, |
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| 363 | right=0.93, |
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| 364 | top=0.92, |
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| 365 | ) |
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| 366 | |
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| 367 | # ... Main title and legend ... |
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| 368 | # ----------------------------- |
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| 369 | fig.suptitle(title, fontweight="bold", size="large") |
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| 370 | for ax, loc in ( |
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| 371 | (ax_conso, "upper left"), |
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| 372 | (ax_theo, "upper right"), |
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| 373 | ): |
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| 374 | ax.legend(loc=loc, fontsize="x-small", frameon=False) |
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| 375 | |
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| 376 | alloc_label = ( |
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| 377 | "Allocation(s):\n" + |
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| 378 | "\n".join([ |
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| 379 | "{:%d/%m/%Y}-{:%d/%m/%Y} : {:10,.0f}h".format( |
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| 380 | item.start_date, item.end_date, item.alloc |
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| 381 | ) for item in projet.alloc_items |
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| 382 | ]) |
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| 383 | ) |
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| 384 | plt.figtext( |
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| 385 | x=0.92, y=0.93, s=alloc_label.replace(",", " "), |
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| 386 | backgroundcolor="linen", |
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| 387 | ha="right", va="bottom", fontsize="x-small" |
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| 388 | ) |
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| 389 | |
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| 390 | range_label = "{:%d/%m/%Y} - {:%d/%m/%Y}".format( |
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| 391 | bilan_plot.date_min, |
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| 392 | bilan_plot.date_max, |
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| 393 | ) |
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| 394 | plt.figtext( |
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| 395 | x=0.5, y=0.93, s=range_label, |
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| 396 | ha="center", va="bottom", fontsize="large" |
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| 397 | ) |
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| 398 | |
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| 399 | faitle_label = "fait le {:%d/%m/%Y}".format(bilan_plot.faitle) |
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| 400 | plt.figtext( |
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| 401 | x=0.02, y=0.98, s=faitle_label, |
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| 402 | ha="left", va="top", fontsize="x-small" |
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| 403 | ) |
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| 404 | |
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| 405 | |
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| 406 | ######################################################################## |
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| 407 | def get_arguments(): |
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| 408 | parser = ArgumentParser() |
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| 409 | parser.add_argument("project", action="store", |
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| 410 | help="Project name") |
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| 411 | parser.add_argument("centre", action="store", |
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| 412 | choices=["idris", "tgcc"], |
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| 413 | help="Centre name") |
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| 414 | parser.add_argument( |
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| 415 | "node", action="store", default="thin/standard", |
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| 416 | choices=["thin/standard", "standard", "fat/large", "hybrid"], |
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| 417 | help="Node type" |
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| 418 | ) |
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| 419 | |
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| 420 | parser.add_argument("--subproject", action="store", |
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| 421 | type=str, default=None, |
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| 422 | help="Sub-project") |
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| 423 | |
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| 424 | parser.add_argument("-v", "--verbose", action="store_true", |
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| 425 | help="verbose mode") |
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| 426 | parser.add_argument("-f", "--full", action="store_true", |
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| 427 | help="plot the whole period") |
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| 428 | parser.add_argument("--png", action="store_true", |
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| 429 | help="pgn output in addition to pdf") |
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| 430 | parser.add_argument("-i", "--increment", action="store", |
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| 431 | type=int, default=1, dest="inc", |
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| 432 | help="sampling increment") |
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| 433 | parser.add_argument("-r", "--range", action="store", nargs=2, |
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| 434 | type=string_to_date, |
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| 435 | help="date range: ssaa-mm-jj ssaa-mm-jj") |
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| 436 | parser.add_argument("-m", "--max", action="store_true", |
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| 437 | help="plot with y_max = allocation") |
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| 438 | parser.add_argument("-s", "--show", action="store_true", |
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| 439 | help="interactive mode") |
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| 440 | parser.add_argument("-d", "--dods", action="store_true", |
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| 441 | help="copy output on dods") |
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| 442 | |
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| 443 | return parser.parse_args() |
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| 444 | |
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| 445 | |
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| 446 | ######################################################################## |
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| 447 | if __name__ == '__main__': |
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| 448 | |
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| 449 | # .. Initialization .. |
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| 450 | # ==================== |
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| 451 | # ... Command line arguments ... |
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| 452 | # ------------------------------ |
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| 453 | args = get_arguments() |
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| 454 | |
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| 455 | print(os.getcwd()) |
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| 456 | print(os.path.abspath(__file__)) |
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| 457 | |
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| 458 | # ... Turn interactive mode off ... |
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| 459 | # --------------------------------- |
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| 460 | if not args.show: |
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| 461 | import matplotlib |
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| 462 | matplotlib.use('Agg') |
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| 463 | |
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| 464 | import matplotlib.pyplot as plt |
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| 465 | # from matplotlib.backends.backend_pdf import PdfPages |
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| 466 | |
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| 467 | if not args.show: |
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| 468 | plt.ioff() |
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| 469 | |
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| 470 | # ... Variables and constants ... |
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| 471 | # ------------------------------- |
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| 472 | delay = 60 # 2 months delay |
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| 473 | |
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| 474 | # ... Files and directories ... |
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| 475 | # ----------------------------- |
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| 476 | config_file = os.path.join( |
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| 477 | "card", |
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| 478 | "config_{}_{}.ini".format(args.centre, args.project) |
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| 479 | ) |
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| 480 | |
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| 481 | if not os.path.isfile(config_file): |
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| 482 | print("File {} missing ".format(config_file)) |
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| 483 | exit(9) |
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| 484 | |
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| 485 | (DIR, DODS) = parse_config(config_file) |
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| 486 | |
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| 487 | # (file_param, file_utheo, file_data) = \ |
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| 488 | # get_input_files(DIR["SAVEDATA"], |
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| 489 | # [OUT["PARAM"], OUT["UTHEO"], OUT["BILAN"]]) |
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| 490 | |
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| 491 | img_name = "{}_{}_{}_{}_{}".format( |
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| 492 | os.path.splitext( |
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| 493 | os.path.basename(__file__) |
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| 494 | )[0].replace("plot_", ""), |
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| 495 | args.centre, |
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| 496 | args.project, |
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| 497 | args.subproject if args.subproject else args.project, |
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| 498 | args.node.replace("/", ""), |
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| 499 | ) |
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| 500 | |
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| 501 | conn, cursor = cdb.connect_db( |
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| 502 | db_data.db_host, |
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| 503 | db_data.db_name, |
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| 504 | db_data.db_user, |
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| 505 | db_data.db_pwd, |
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| 506 | ) |
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| 507 | |
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| 508 | today = dt.date.today() |
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| 509 | |
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| 510 | if args.verbose: |
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| 511 | fmt_str = "{:10s} : {}" |
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| 512 | print(fmt_str.format("args", args)) |
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| 513 | print(fmt_str.format("today", today)) |
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| 514 | print(fmt_str.format("img_name", img_name)) |
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| 515 | print("") |
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| 516 | |
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| 517 | # .. Range of dates .. |
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| 518 | # ==================== |
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| 519 | if args.full: |
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| 520 | (date_min, date_max) = ( |
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| 521 | dt.date(today.year, 1, 1), |
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| 522 | dt.date(today.year, 12, 31), |
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| 523 | ) |
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| 524 | elif args.range: |
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| 525 | (date_min, date_max) = (args.range) |
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| 526 | else: |
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| 527 | (date_min, date_max) = ( |
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| 528 | dt.date(today.year, 1, 1), |
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| 529 | dt.date(today.year, 12, 31), |
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| 530 | ) |
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| 531 | bilan_plot = PlotData(date_min, date_max) |
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| 532 | bilan_plot.faitle = today |
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| 533 | |
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| 534 | # .. Get project info .. |
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| 535 | # ====================== |
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| 536 | table_name = "conso.tbl_allocation" |
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| 537 | request = ( |
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| 538 | "SELECT * " |
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| 539 | "FROM " + table_name + " " |
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| 540 | "WHERE project = '" + args.project + "' " |
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| 541 | "AND node_type = '" + args.node + "' " |
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| 542 | "AND is_active = TRUE " |
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| 543 | "ORDER BY start_date" |
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| 544 | ";" |
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| 545 | ) |
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| 546 | |
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| 547 | cdb.select_db(cursor, request) |
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| 548 | # print(cursor.rowcount) |
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| 549 | # print(cursor.fetchall()) |
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| 550 | # print(cursor.description) |
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| 551 | |
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| 552 | projet = Project(args.project, args.centre) |
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| 553 | for row in cursor: |
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| 554 | if (bilan_plot.date_min >= row["start_date"].date() and |
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| 555 | bilan_plot.date_min <= row["end_date"].date()) or \ |
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| 556 | (bilan_plot.date_max >= row["start_date"].date() and |
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| 557 | bilan_plot.date_max <= row["end_date"].date()) or \ |
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| 558 | (bilan_plot.date_min <= row["start_date"].date() and |
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| 559 | bilan_plot.date_max >= row["end_date"].date()): |
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| 560 | projet.add_alloc( |
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| 561 | row["id"], |
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| 562 | row["machine"], |
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| 563 | row["node_type"], |
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| 564 | row["start_date"], |
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| 565 | row["end_date"], |
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| 566 | row["total_hrs"], |
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| 567 | ) |
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| 568 | |
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| 569 | # .. Fill in data .. |
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| 570 | # ================== |
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| 571 | # ... Initialization ... |
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| 572 | # ---------------------- |
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| 573 | |
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| 574 | bilan = DataDict() |
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| 575 | bilan.init_range(projet.start_date.date(), projet.end_date.date()) |
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| 576 | |
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| 577 | # ... Extract data from table ... |
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| 578 | # ------------------------------- |
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| 579 | bilan.fill_data(projet) |
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| 580 | |
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| 581 | # .. Extract data depending on C.L. arguments .. |
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| 582 | # ============================================== |
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| 583 | if args.full: |
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| 584 | selected_items = bilan.get_items_in_full_range(args.inc) |
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| 585 | elif args.range: |
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| 586 | selected_items = bilan.get_items_in_range( |
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| 587 | args.range[0], args.range[1], args.inc |
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| 588 | ) |
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| 589 | else: |
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| 590 | selected_items = bilan.get_items(args.inc) |
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| 591 | |
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| 592 | last_filled_date = max([ |
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| 593 | item.date for item in selected_items |
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| 594 | if item.filled |
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| 595 | ]) |
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| 596 | |
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| 597 | # .. Compute data to be plotted .. |
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| 598 | # ================================ |
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| 599 | nb_items = len(selected_items) |
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| 600 | |
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| 601 | xcoord = np.linspace(1, nb_items, num=nb_items) |
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| 602 | dates = [item.date for item in selected_items] |
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| 603 | |
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| 604 | projet.get_theo_eq(dates) |
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| 605 | |
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| 606 | cumul = np.array( |
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| 607 | [item.conso for item in selected_items], |
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| 608 | dtype=float |
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| 609 | ) |
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| 610 | consos = [] |
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| 611 | consos.append(cumul[0]) |
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| 612 | consos[1:nb_items] = cumul[1:nb_items] - cumul[0:nb_items-1] |
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| 613 | consos = np.array(consos, dtype=float) |
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| 614 | |
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| 615 | real_uses = np.array( |
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| 616 | [100.*item.real_use for item in selected_items], |
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| 617 | dtype=float |
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| 618 | ) |
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| 619 | |
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| 620 | theo_uses = [] |
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| 621 | real_uses2 = [] |
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| 622 | for idx, date in enumerate(dates): |
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| 623 | for item in projet.alloc_items: |
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| 624 | if date >= item.start_date.date() and \ |
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| 625 | date <= item.end_date.date(): |
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| 626 | poly_theo = item.theo_eq |
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| 627 | alloc_val = item.alloc |
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| 628 | break |
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| 629 | theo_uses.append(100. * poly_theo(dates.index(date))) |
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| 630 | real_uses2.append((100 * cumul[idx]) / alloc_val) |
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| 631 | |
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| 632 | if nb_items > delay: |
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| 633 | delay_uses = delay * [0., ] + theo_uses[:-delay] |
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| 634 | else: |
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| 635 | delay_uses = nb_items * [0., ] |
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| 636 | |
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| 637 | theo_uses = np.array(theo_uses, dtype=float) |
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| 638 | delay_uses = np.array(delay_uses, dtype=float) |
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| 639 | |
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| 640 | run_mean = np.array( |
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| 641 | [item.run_mean for item in selected_items], |
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| 642 | dtype=float |
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| 643 | ) |
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| 644 | pen_mean = np.array( |
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| 645 | [item.pen_mean for item in selected_items], |
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| 646 | dtype=float |
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| 647 | ) |
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| 648 | run_std = np.array( |
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| 649 | [item.run_std for item in selected_items], |
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| 650 | dtype=float |
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| 651 | ) |
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| 652 | pen_std = np.array( |
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| 653 | [item.pen_std for item in selected_items], |
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| 654 | dtype=float |
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| 655 | ) |
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| 656 | |
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| 657 | # .. Plot stuff .. |
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| 658 | # ================ |
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| 659 | # ... Initialize figure ... |
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| 660 | # ------------------------- |
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| 661 | (fig, ax_conso, ax_theo) = plot_init() |
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| 662 | |
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| 663 | # ... Plot data ... |
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| 664 | # ----------------- |
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| 665 | plot_data( |
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| 666 | ax_conso, ax_theo, xcoord, dates, |
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| 667 | consos, real_uses, theo_uses, delay_uses, |
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| 668 | run_mean, pen_mean, run_std, pen_std |
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| 669 | ) |
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| 670 | |
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| 671 | # ... Tweak figure ... |
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| 672 | # -------------------- |
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| 673 | proj_title = args.subproject if args.subproject else projet.project |
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| 674 | title = "Consommation {}".format( |
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| 675 | # projet.project.upper(), |
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| 676 | proj_title.upper() |
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| 677 | ) |
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| 678 | faitle = "(le {:%d/%m/%Y})".format( |
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| 679 | today, |
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| 680 | ) |
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| 681 | |
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| 682 | plot_config( |
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| 683 | fig, ax_conso, ax_theo, |
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| 684 | xcoord, dates, real_uses[dates.index(last_filled_date)], |
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| 685 | title, faitle, projet, bilan_plot |
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| 686 | ) |
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| 687 | |
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| 688 | # ... Save figure ... |
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| 689 | # ------------------- |
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| 690 | if args.range: |
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| 691 | img_out = os.path.join( |
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| 692 | DIR["PLOT"], args.centre, args.project, |
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| 693 | "{}_{:%Y%m%d}_{:%Y%m%d}.pdf".format(img_name, *args.range) |
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| 694 | ) |
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| 695 | else: |
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| 696 | img_out = os.path.join( |
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| 697 | DIR["PLOT"], args.centre, args.project, |
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| 698 | "{}_{:%Y%m%d}.pdf".format(img_name, today) |
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| 699 | ) |
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| 700 | if args.verbose: |
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| 701 | print("Save image as {}".format(img_out)) |
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| 702 | if args.png: |
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| 703 | print("Produce png") |
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| 704 | |
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| 705 | title = "Consommation {} ({}) au {:%Y%m%d}".format( |
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| 706 | args.project.upper(), |
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| 707 | args.centre.upper(), |
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| 708 | today |
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| 709 | ) |
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| 710 | plot_save(img_out, title, png=args.png) |
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| 711 | |
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| 712 | # ... Publish figure on dods ... |
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| 713 | # ------------------------------ |
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| 714 | if args.dods: |
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| 715 | if args.verbose: |
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| 716 | print("Publish figure on dods") |
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| 717 | dods_cp(img_out, img_name, DODS) |
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| 718 | |
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| 719 | # if args.show: |
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| 720 | # plt.show() |
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| 721 | |
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| 722 | exit(0) |
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