def __init__(self, **kwargs):
"""
初始化
"""
# 列名
self.columnName = ""
# 数据类型
self.dataType = ""
# 类型名
self.type_name = ""
# Oracle类型
self.oracleJavaType = ""
# 列大小
self.column_size = ""
# 备注
self.remarks = ""
# 是否可为空
self.nullable = ""
self.copy_from(kwargs)
# 属性名
self.propertyName = strcm.under_to_camel(self.columnName)
# 属性名首字母大写
self.propertyNameFcu = strcm.upper_first(self.propertyName)
# 模块创建时间
self.codeCreateTime = datecm.now_time_str("%Y年%m月%d日 00:00:00")
def __init__(self, **kwargs):
"""
模块初始化
"""
# 模块包名
self.packageName = ""
# 模块名
self.moduleName = ""
# 模块描述
self.moduleDesc = ""
self.copy_from(kwargs)
# 模块创建时间
self.codeCreateTime = datecm.now_time_str("%Y年%m月%d日 00:00:00")
# 模块名首字母大写
self.moduleNameFcu = strcm.upper_first(self.moduleName)
# 常量KEY名
self.keyName = strcm.camel_to_under(self.moduleName).upper()
# 接口列表
self.services = []
# Bean列表
self.beans = []
# Code列表
self.codes = []
def get_header_tag(self, new_data, ref_id, no_data=False):
"""
生成MessageHeader标签
:param new_data:是否新数据
:param sort_no:序号
:param no_data:是否无数据
:return:
"""
header = {
"ReportingID": self.ReportingID,
"FIID": self.FIID,
"ReportingType": "CRS",
"MessageRefId": ref_id,
"ReportingPeriod": cncrs_cm.convert("date", self.ReportingPeriod),
"MessageTypeIndic":
cncrs_cm.get_message_type_indic(new_data, no_data),
"Tmstp": datecm.now_time_str("%Y-%m-%dT%H:%M:%S+08:00")
}
return MessageHeaderTag(**header)
def run_task(sleep_seconds):
# 声明使用全局锁
global lock, queue_list
# 取得当前线程
thd_now = threading.current_thread()
thd_name = thd_now.getName()
# 循环直到任务队列为空
while not queue_list.empty():
# 取得任务编号
task = queue_list.get()
# 锁请求
if lock.acquire():
# 当前时间
now_time = datecm.now_time_str('%Y-%m-%d %H:%M:%S')
# 输出日志（同时只有一个线程可以写日志）
logcm.print_info("%s is doing %s sleep %d seconds. %s " %
(thd_name, task, sleep_seconds, now_time))
# 释放锁
lock.release()
# 等待N秒后继续
time.sleep(sleep_seconds)
from common import logcm
from common import webcm
# 缺省配置及说明
default_config = """"
{
"site_list": [
{
"url": "http://www.baidu.com/",
"name": "baidu.txt"
},
{
"url": "http://www.163.com/",
"name": "163.txt"
}
]
}
"""
# 定义并创建临时目录
tmp_path = './temp/net/curl/' + datecm.now_time_str()
filecm.makedir(tmp_path)
# 加载配置文件
config_map = loadcfgcm.load("net_curl.json", default_config)
# 按照站点一览进行循环
for cfg in config_map["site_list"]:
result = webcm.curl(cfg["url"], tmp_path, cfg["name"])
logcm.print_obj(result, "result-%s" % cfg["name"])
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
EXCEL数据加载
"""
from common import datecm
from common import filecm
from common import xlscm
from common import loadcfgcm
from common import logcm
# 根目录
root_dir = "/Users/xxxx/Downloads"
out_file = "output" + datecm.now_time_str() + ".csv"
# 配置
# Excel文件名，可以对应到多个Sheet，每个Sheet有一个标题行。
default_config = """
{
"XXXXXX": [{
"sheet_name": "明细",
"title_line": 0,
"col_titles": ["基金名称", "投资者名称", "客户类型", "证件类型", "证件号码", "????"]
}],
"YYYYYY": [{
"sheet_name": "客户明细J",
"title_line": 0,
"col_titles": ["????", "客户名称", "客户类型", "证件类型", "证件号码", "持有份额"]
}]
}
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
数字图片的训练和识别。
"""
import cv2
from common import cvknncm
from common import datecm
from common import filecm
from common import opencvcm
from common import plotcm
# 临时目录
tmp_path = './temp/cv/digits/' + datecm.now_time_str()
filecm.makedir(tmp_path)
# KNN算法对象（初始化并训练好）
knn = cvknncm.get_hand_digits_knn()
# 载入测试图片
img_test = cv2.imread('./images/cv_img_number2_test.jpg')
# 图片列表
img_list = []
# 标题列表
title_list = []
img_list.append(img_test)
title_list.append('原图+结果')