本文整理汇总了Python中pyjavaproperties.Properties.list方法的典型用法代码示例。如果您正苦于以下问题：Python Properties.list方法的具体用法？Python Properties.list怎么用？Python Properties.list使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyjavaproperties.Properties的用法示例。
在下文中一共展示了Properties.list方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: len
# 需要导入模块: from pyjavaproperties import Properties [as 别名]
# 或者: from pyjavaproperties.Properties import list [as 别名]
from pyjavaproperties import Properties
import sys
import os
if __name__ == '__main__':
if len(sys.argv) != 3:
print "Usage: python prop_util.py <path to runtime.properties> <mydomain replacement>"
sys.exit(1)
runtime_filepath = sys.argv[1]
print "Updating %s" % runtime_filepath
p = Properties()
p.load(open(runtime_filepath))
print "****Properties before****"
p.list()
#Add/replace environment variables that begin with v_
for key, value in [(key[2:], os.environ[key]) for key in os.environ if key.startswith("v_")]:
print "Adding key %s: %s" % (key, value)
p[key] = value
#Replace mydomain in any values
newdomain = sys.argv[2]
for key, value in [(key, value) for (key, value) in p.iteritems() if "mydomain.edu" in value]:
new_value = value.replace("mydomain.edu", newdomain)
print "Changing key %s from %s to %s" % (key, value, new_value)
p[key] = new_value
#Set DB values based on docker-provided environment variables
p['VitroConnection.DataSource.url'] = "http://db:8111/v1/graphs/sparql"
p['VitroConnection.DataSource.username'] = 'admin'
p['VitroConnection.DataSource.password'] = 'admin'
print "****Properties after****"
p.list()
p.store(open(runtime_filepath,'w'))示例2: main
# 需要导入模块: from pyjavaproperties import Properties [as 别名]
# 或者: from pyjavaproperties.Properties import list [as 别名]
def main():
properties = Properties()
properties.load(open("/home/khepry/home/distributions/PyDataGenerator/PyDataGenerator.properties"))
properties.list()
maxRows = 100
maxXlsRows = 10000
globalPath = '/home/khepry/home/distributions/PyDataGenerator/temp/'
targetName = 'dataGenerator.csv'
maxRows = int(properties.getProperty('maxRows', maxRows))
maxXlsRows = int(properties.getProperty('maxXlsRows', maxXlsRows))
globalPath = properties.getProperty('globalPath', globalPath)
targetName = properties.getProperty('targetName', targetName)
print("-- operating system --")
print(platform.system())
print("-- processing messages --")
if platform.system() == 'Windows':
xlsPgmPath = '"/Program Files/Microsoft Office 15/root/office15/EXCEL.EXE"'
txtPgmPath = '"/Program Files (x86)/Notepad++/notepad++.exe"'
else:
xlsPgmPath = "libreoffice"
txtPgmPath = "gedit"
tgtFileFullPath = os.path.abspath(globalPath + targetName)
tgtFile = open(tgtFileFullPath, 'w', newline='')
bgnTime = tyme.time()
rows = 0
try:
writer = csv.writer(tgtFile, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
for i in range(0, maxRows):
rows += 1
record = Record()
record.addField("UUID4", "UUID4").random()
record.addField("Alpha", "Alpha").random(20, 25)
record.addField("AlphaNumeric", "AlphaNumeric").random()
record.addField("Numeric", "Numeric").random()
record.addField("String", "String").random()
record.addField("Range", "Range").random(12, 24)
record.addField("Date", "Date").random(date(1980,1,1), date(2000,12,31))
record.addField("DateTime", "DateTime").random(date(1980,1,1), date(2000,12,31))
record.addField("AgeInYears","Numeric").years(date.today(), record.getField("Date").value)
record.addField("AgeInMonths","Numeric").months(date.today(), record.getField("Date").value)
record.addField("AgeInDays","Numeric").days(date.today(), record.getField("Date").value)
if (i == 0):
writer.writerow([key for key in record.fields.keys()])
writer.writerow([field.text for field in record.fields.values()])
finally:
tgtFile.close()
endTime = tyme.time()
elapsedTime = endTime - bgnTime
print("{:,}".format(rows) + ' records processed in ' + "{:,.4f}".format(elapsedTime) + ' seconds at ' + "{:,.4f}".format(rows / elapsedTime) + ' rows/second.')
if (platform.system() == 'Windows'):
if (rows < maxXlsRows):
subprocess.call(xlsPgmPath + ' "' + tgtFileFullPath + '"')
else:
subprocess.call(txtPgmPath + ' "' + tgtFileFullPath + '"')
else:
if (rows < maxXlsRows):
subprocess.call([xlsPgmPath, tgtFileFullPath])
else:
subprocess.call([txtPgmPath, tgtFileFullPath])