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0.1.124

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guanjihuan
2024-11-15 10:07:36 +08:00
parent 194c5f135c
commit 379a1de3ad
5 changed files with 94 additions and 29 deletions
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2
PyPI/src/guan.egg-info/PKG-INFO
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@@ -1,6 +1,6 @@
Metadata-Version: 2.1
Name: guan
Version: 0.1.123
Version: 0.1.124
Summary: An open source python package
Home-page: https://py.guanjihuan.com
Author: guanjihuan

77
PyPI/src/guan/data_processing.py
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@@ -40,6 +40,11 @@ def chat(prompt='你好', model=1, stream=0, top_p=0.8, temperature=0.85):
print('\n--- End Stream Message ---\n')
return response
# 从列表中删除某个匹配的元素
def remove_item_in_one_array(array, item):
new_array = [x for x in array if x != item]
return new_array
# 并行计算前的预处理，把参数分成多份
def preprocess_for_parallel_calculations(parameter_array_all, task_num=1, task_index=0):
import numpy as np
@@ -505,12 +510,6 @@ def fill_zero_data_for_new_dates(old_dates, new_dates, old_data_array):
new_data_array.append(old_data_array[index])
return new_data_array
# 获取CPU使用率
def get_cpu_usage(interval=1):
import psutil
cpu_usage = psutil.cpu_percent(interval=interval)
return cpu_usage
# 获取内存信息
def get_memory_info():
import psutil
@@ -521,6 +520,72 @@ def get_memory_info():
used_memory_percent = memory_info.percent
return total_memory, used_memory, available_memory, used_memory_percent
# 获取CPU的平均使用率
def get_cpu_usage(interval=1):
import psutil
cpu_usage = psutil.cpu_percent(interval=interval)
return cpu_usage
# 获取每个CPU核心的使用率，返回列表
def get_cpu_usage_array_per_core(interval=1):
import psutil
cpu_usage_array_per_core = psutil.cpu_percent(interval=interval, percpu=True)
return cpu_usage_array_per_core
# 获取使用率最高的CPU核心的使用率
def get_cpu_max_usage_for_all_cores(interval=1):
import guan
cpu_usage_array_per_core = guan.get_cpu_usage_array_per_core(interval=interval)
max_cpu_usage = max(cpu_usage_array_per_core)
return max_cpu_usage
# 获取非零使用率的CPU核心的平均使用率
def get_cpu_averaged_usage_for_non_zero_cores(interval=1):
import guan
cpu_usage_array_per_core = guan.get_cpu_usage_array_per_core(interval=interval)
cpu_usage_array_per_core_new = guan.remove_item_in_one_array(cpu_usage_array_per_core, 0.0)
averaged_cpu_usage = sum(cpu_usage_array_per_core_new)/len(cpu_usage_array_per_core_new)
return averaged_cpu_usage
# 在一定数量周期内得到CPU的使用率信息。默认为10秒钟收集一次，(interval+sleep_interval)*times 为收集的时间范围，范围默认为60秒，即1分钟后返回列表，总共得到6组数据。其中，数字第一列和第二列分别是平均值和最大值。
def get_cpu_information_for_times(interval=1, sleep_interval=9, times=6):
import guan
import time
cpu_information_array = []
for _ in range(times):
cpu_information = []
datetime_date = guan.get_date()
datetime_time = guan.get_time()
cpu_information.append(datetime_date)
cpu_information.append(datetime_time)
cpu_usage_array_per_core = guan.get_cpu_usage_array_per_core(interval=interval)
cpu_information.append(sum(cpu_usage_array_per_core)/len(cpu_usage_array_per_core))
cpu_information.append(max(cpu_usage_array_per_core))
for cpu_usage in cpu_usage_array_per_core:
cpu_information.append(cpu_usage)
cpu_information_array.append(cpu_information)
time.sleep(sleep_interval)
return cpu_information_array
# 将得到的CPU的使用率信息写入文件。默认为半分钟收集一次，(interval+sleep_interval)*times 为收集的时间范围，范围默认为60分钟，即1小时写入文件一次，总共得到120组数据。其中，数字第一列和第二列分别是平均值和最大值。
def write_cpu_information_to_file(filename_pre='./cpu_usage', interval=1, sleep_interval=29, times=120):
import guan
while True:
datetime_date = guan.get_date()
filename = filename_pre+'_'+datetime_date
guan.make_file(filename+'.txt')
f = guan.open_file(filename)
cpu_information_array = get_cpu_information_for_times(interval=interval, sleep_interval=sleep_interval, times=times)
for cpu_information in cpu_information_array:
i0 = 0
for information in cpu_information:
if i0 < 2:
f.write(str(information)+' ')
else:
f.write(f'{information:.1f} ')
i0 += 1
f.write('\n')
# 获取MAC地址
def get_mac_address():
import uuid

16
PyPI/src/guan/decorators.py
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@@ -58,11 +58,11 @@ def timer_decorator_with_parameters(unit='second', print_show=1, write_file=0, f
return wrapper
return timer_decorator
# 函数的装饰器，用于GUAN软件包函数的使用统计
def statistics_decorator(func):
def wrapper(*args, **kwargs):
result = func(*args, **kwargs)
import guan
guan.statistics_of_guan_package(func.__name__)
return result
return wrapper
# # 函数的装饰器，用于GUAN软件包函数的使用统计
# def statistics_decorator(func):
# def wrapper(*args, **kwargs):
# result = func(*args, **kwargs)
# import guan
# guan.statistics_of_guan_package(func.__name__)
# return result
# return wrapper

26
PyPI/src/guan/others.py
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@@ -657,18 +657,6 @@ def plot_stock_line(date_array, opening_array, closing_array, high_array, low_ar
plt.show()
plt.close('all')
# Guan软件包升级检查和提示（如果无法连接或者版本为最新，那么均没有提示）
def notification_of_upgrade(timeout=5):
try:
import guan
latest_version = guan.get_latest_version(package_name='guan', timeout=timeout)
current_version = guan.get_current_version('guan')
if latest_version != None and current_version != None:
if latest_version != current_version:
print('升级提示：您当前使用的版本是 guan-'+current_version+'，目前已经有最新版本 guan-'+latest_version+'。您可以通过以下命令对软件包进行升级：pip install --upgrade guan -i https://pypi.python.org/simple 或 pip install --upgrade guan')
except:
pass
# Guan软件包的使用统计（仅仅统计装机数和import次数）
def statistics_of_guan_package(function_name=None):
import guan
@@ -703,4 +691,16 @@ def statistics_of_guan_package(function_name=None):
client_socket.send(send_message.encode())
client_socket.close()
except:
pass
pass
# # Guan软件包升级检查和提示（如果无法连接或者版本为最新，那么均没有提示）
# def notification_of_upgrade(timeout=5):
# try:
# import guan
# latest_version = guan.get_latest_version(package_name='guan', timeout=timeout)
# current_version = guan.get_current_version('guan')
# if latest_version != None and current_version != None:
# if latest_version != current_version:
# print('升级提示：您当前使用的版本是 guan-'+current_version+'，目前已经有最新版本 guan-'+latest_version+'。您可以通过以下命令对软件包进行升级：pip install --upgrade guan -i https://pypi.python.org/simple 或 pip install --upgrade guan')
# except:
# pass