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3 changed files with 6 additions and 10 deletions

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@ -253,7 +253,7 @@ class SqliteDb(ISqlDatabaseBackend):
# If set False, the returned connection may be shared across multiple threads. When using multiple threads with the same connection writing operations should be serialized by the user to avoid data corruption
# I hope it's safe here but I'm not 100% sure though. Anyway, if the database gets corrupt, it not a big deal since this memory resident database gets reconstructed from the sql file...
if sqlite_db_path == ':memory:' or not sqlite_db_path.exists():
if sqlite_db_path != ':memory:' and not sqlite_db_path.exists():
logging.debug('creating sqlite database in %s', sqlite_db_path)
self._con = sqlite3.connect(sqlite_db_path, check_same_thread=check_same_thread)
else:

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@ -315,7 +315,7 @@ def draw_machine_age_pyramid_graph(inventory):
:param Inventory inventory: the inventory database
"""
oldest_age = 25
oldest_age = 20
age_histogram = np.zeros(shape=(oldest_age))
rows = inventory.query("SELECT * FROM machines")
@ -328,9 +328,7 @@ def draw_machine_age_pyramid_graph(inventory):
if purchase_date is not None:
purchase_time = matplotlib.dates.date2num(purchase_date.date()) # noqa: F841
age = datetime.datetime.now() - purchase_date
age_in_years = age.days // 365
if age_in_years < oldest_age:
age_histogram[age_in_years] += 1
age_histogram[age.days // 365] += 1
# print(name, age)
fig, ax = plt.subplots()
@ -351,7 +349,7 @@ def draw_core_age_pyramid_graph(inventory):
:param Inventory inventory: the inventory database
"""
oldest_age = 25
oldest_age = 20
age_histogram = np.zeros(shape=(oldest_age))
rows = inventory.query("SELECT * FROM machines")
@ -364,9 +362,7 @@ def draw_core_age_pyramid_graph(inventory):
if purchase_date is not None:
purchase_time = matplotlib.dates.date2num(purchase_date.date()) # noqa: F841
age = datetime.datetime.now() - purchase_date
age_in_years = age.days // 365
if age_in_years < oldest_age:
age_histogram[age_in_years] += inventory.get_num_cores(name)
age_histogram[age.days // 365] += inventory.get_num_cores(name)
# print(name, age)
fig, ax = plt.subplots()

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@ -2,7 +2,7 @@ from setuptools import setup
setup(
name='cocluto',
version=1.08,
version=1.06,
description='compute cluster utility tools',
url='https://git.ipr.univ-rennes1.fr/graffy/cocluto',
author='Guillaume Raffy',