fixes to ClusterStats while attempting to add a new graph show the age of machines
- made ClusterStats work on graffy-ws2 : made code compatible with python3 (still compatible with python2 though) - added support for physix in addition to simpatix) - fixed bug
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@ -1,6 +1,10 @@
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import MySQLdb # sudo port install py-mysql
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import MySQLdb # sudo port install py-mysql; sudo apt install python-mysqldb
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import time
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import sys
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if sys.version_info < (3, 0):
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import StringIO
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else:
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from io import StringIO
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import re
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from wol import *
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import os
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@ -26,6 +26,9 @@ import abc
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from SimpaDbUtil import SqlDatabaseReader, SqlFile
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from inventory import Inventory
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def is_cluster_node_name(name):
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return re.match('^simpatix[0-9]+$', name) is not None or re.match('^physix[0-9]+$', name) is not None
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def get_investment_over_time(time_value, price, purchase_time):
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percent_decay_per_day = 0.0 # 1.0/(7.0*365.0)
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f1 = (purchase_time-time_value)*percent_decay_per_day+1.0
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@ -54,7 +57,7 @@ def get_flops_price_over_time(inventory, time_value):
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for row in rows:
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(name, serial_number, affectation, machine_spec_id, command_id, price_ex_vat, pos_x, pos_y, pos_z, inv_number)=row
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is_cluster_node = re.match('^simpatix[0-9]+$', name)
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is_cluster_node = is_cluster_node_name(name)
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if is_cluster_node:
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purchase_date = inventory.get_machine_purchase_date(name)
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if purchase_date is not None:
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@ -113,7 +116,7 @@ def stackplot(ax, x_signal, y_signals):
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:param dict(str,numpy.array) y_signals:
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"""
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if 'stackplot' in dir(ax):
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ax.stackplot(x_signal, list(y_signals.itervalues()) )
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ax.stackplot(x_signal, list(y_signals.values()) )
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plt.legend(list(y_signals.keys()))
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else:
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# emulating missing Axes.stackplot method
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@ -141,7 +144,7 @@ def draw_cluster_value_over_time_graph(inventory, from_date, to_date, graph_type
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for row in rows:
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(name, serial_number, affectation, machine_spec_id, command_id, price_ex_vat, pos_x, pos_y, pos_z, inv_number)=row
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is_cluster_node = re.match('^simpatix[0-9]+$', name)
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is_cluster_node = is_cluster_node_name(name)
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if is_cluster_node:
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purchase_date = inventory.get_machine_purchase_date(name)
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if purchase_date is not None:
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@ -161,7 +164,7 @@ def draw_cluster_value_over_time_graph(inventory, from_date, to_date, graph_type
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if owner_dept in cluster_value.keys():
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cluster_value[owner_dept] += item_value_over_time
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else:
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cluster_value[owner_dept] = np.zeros_like(time_value)
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cluster_value[owner_dept] = item_value_over_time # np.zeros_like(time_value)
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# print(purchase_date)
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# print(type(from_date))
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