如何在snaplogic中将Python脚本转换为JVM
下面提到的代码工作正常,但我想将下面提到的python脚本集成到JVM脚本中,以便在SnapLogic工具中运行。任何线索都会非常有用如何在snaplogic中将Python脚本转换为JVM,jvm,jython,snaplogic,snaplogic-script-snap,Jvm,Jython,Snaplogic,Snaplogic Script Snap,下面提到的代码工作正常,但我想将下面提到的python脚本集成到JVM脚本中,以便在SnapLogic工具中运行。任何线索都会非常有用 import os import sys def execute(): file=open("C:/Python27/snaplogic_file.txt","r") header=next(file) new_file1=open("C:/Python27/snaplogic_processed_file1.txt",mode='w
import os
import sys
def execute():
file=open("C:/Python27/snaplogic_file.txt","r")
header=next(file)
new_file1=open("C:/Python27/snaplogic_processed_file1.txt",mode='w+')
new_file1.write(header)
new_file1.close()
for line in file:
new_file=open("C:/Python27/snaplogic_processed_file.txt",mode='w+')
new_file.write(line)
execute()
当您在脚本中选择Python时,它实际上意味着Jython。因此,基本上,您可以在脚本中导入Java类
下面是一个实现,我正在其中一个节点的/tmp文件夹中编写一个虚拟文件
# Import the interface required by the Script snap.
from com.snaplogic.scripting.language import ScriptHook
import java.util
import com.fasterxml.jackson.databind
import java.io
class TransformScript(ScriptHook):
def __init__(self, input, output, error, log):
self.input = input
self.output = output
self.error = error
self.log = log
# The "execute()" method is called once when the pipeline is started
# and allowed to process its inputs or just send data to its outputs.
def execute(self):
self.log.info("Executing Transform script")
while self.input.hasNext():
try:
# Read the next document, wrap it in a map and write out the wrapper
in_doc = self.input.next()
wrapper = java.util.HashMap()
om = com.fasterxml.jackson.databind.ObjectMapper()
target_file = java.io.File("/tmp/" + in_doc['filename'])
om.writeValue(target_file, in_doc['content']);
wrapper['original'] = in_doc
wrapper['status'] = "success"
self.output.write(in_doc, wrapper)
except Exception as e:
errWrapper = {
'errMsg' : str(e.args)
}
self.log.error("Error in python script")
self.error.write(errWrapper)
self.log.info("Finished executing the Transform script")
# The Script Snap will look for a ScriptHook object in the "hook"
# variable. The snap will then call the hook's "execute" method.
hook = TransformScript(input, output, error, log)
下面是脚本快照的输入JSON
[{"filename":"write_test.txt","content":{"id":123,"message":"xyz","valid":true}}]
检查节点中的文件
$ cd /tmp
$ cat write_test.txt
[{"filename":"write_test.txt","content":{"id":123,"message":"xyz","valid":true}}]
注意:我使用Jackson的ObjectMapper,因为我主要处理JSON