如何在 snaplogic 中将 Python 脚本转换为 JVM答案

【问题标题】：How to convert Python script to JVM in snaplogic如何在 snaplogic 中将 Python 脚本转换为 JVM
【发布时间】：2018-12-05 12:37:09
【问题描述】：

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 脚本中以在 SnapLogic 工具中运行。任何线索都会非常有帮助。

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()

【问题讨论】：

标签： jvm jython snaplogic snaplogic-script-snap

【解决方案1】：

当您在 Script 快照中选择 Python 时，它实际上意味着 Jython。因此，您基本上可以在脚本中导入 Java 类。

以下是我在其中一个节点的 /tmp 文件夹中编写虚拟文件的实现。

# 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)

以下是 Script 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。

【讨论】：