我设置了一个流程来识别何时将文件放入目录。接下来我需要运行一个处理文件的Bash脚本(相当密集的处理)。该脚本获取PDF,创建临时目录,将PDF分解为单独的PNG文件,针对每个图像运行OCR处理器,将结果转换为单页PDF,然后将所有PDF合并为单个多页PDF来自OCR的文本层。
问题是,在触发10个并发转换后,Bash脚本会发生阻塞。现在我让Mule ESB侦听新文件,然后触发每个文件的脚本,传递适当的参数。不幸的是,Mule有两个任务,听 - >触发。我们将在该目录中有超过200个文件需要排队等待处理,最好一次5个。如何让Mule限制触发的并发进程数?
以下是我的初步草案流程:
<?xml version="1.0" encoding="UTF-8"?>
<mule xmlns:cxf="http://www.mulesoft.org/schema/mule/cxf" xmlns:scripting="http://www.mulesoft.org/schema/mule/scripting" xmlns:http="http://www.mulesoft.org/schema/mule/http" xmlns:file="http://www.mulesoft.org/schema/mule/file" xmlns="http://www.mulesoft.org/schema/mule/core" xmlns:doc="http://www.mulesoft.org/schema/mule/documentation" xmlns:spring="http://www.springframework.org/schema/beans" version="CE-3.3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="
http://www.mulesoft.org/schema/mule/file http://www.mulesoft.org/schema/mule/file/current/mule-file.xsd
http://www.mulesoft.org/schema/mule/scripting http://www.mulesoft.org/schema/mule/scripting/current/mule-scripting.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-current.xsd
http://www.mulesoft.org/schema/mule/core http://www.mulesoft.org/schema/mule/core/current/mule.xsd
http://www.mulesoft.org/schema/mule/cxf http://www.mulesoft.org/schema/mule/cxf/current/mule-cxf.xsd
http://www.mulesoft.org/schema/mule/http http://www.mulesoft.org/schema/mule/http/current/mule-http.xsd ">
<configuration>
<default-threading-profile doThreading="false"/>
</configuration>
<queued-asynchronous-processing-strategy name="limitThreads" maxThreads="2"/>
<flow name="Poll_DirectoryFlow1" doc:name="Poll_DirectoryFlow1" processingStrategy="limitThreads">
<file:inbound-endpoint path="/home/administrator/Downloads/Input" responseTimeout="10000" doc:name="File" pollingFrequency="5000" fileAge="5000">
</file:inbound-endpoint>
<scripting:component doc:name="Script">
<scripting:script engine="Groovy">
<property key="originalFilename" value="#[header:originalFilename]"/>
<scripting:text><![CDATA[def filename = message.getInboundProperty('originalFilename')
println "$filename"
def directory = message.getInboundProperty('directory')
println "$directory"
"mkdir processed".execute()
def command = ["/home/administrator/ocr.sh", "$directory/$filename", "/home/administrator/Downloads/Output/$filename"]
println "$command"
def proc = "pwd".execute()
command.execute()
proc.waitFor()
println "${proc.in.text}"]]></scripting:text>
</scripting:script>
</scripting:component>
<echo-component doc:name="Echo"/>
</flow>
</mule>
这是实际的Bash脚本(提供了我们正在使用的工具的一些提示):
#!/bin/bash
#Setting variables
PARAM=$#
TMPDIR=./split
INFILENAME=${1##*/}
OUTFILENAME=${2##*/}
echo "1 is $1"
echo "2 is $2"
echo "infilename is $INFILENAME"
echo "outfilename is $OUTFILENAME"
#Logging I/O filenames
echo "infile: $1" >> error.log
echo "outfile: $2" >> error.log
#If the temporary directory doesn't exist, make it
if [ ! -d "$TMPDIR" ];
then
mkdir $TMPDIR
fi
#Check to see that the correct number of params have been passed.
if [[ $PARAM -lt 2 ]];
then
echo "Usage: $0 source.pdf output.pdf"
echo "output.pdf is the desired output file"
echo "source.pdf is a file to be OCR'd"
exit 1
fi
#Make sure the input file is a PDF
if [ "${1##*.}" == "pdf" ];
then
multilayer=false
#Check to see if the input file is a multi-layered pdf with searchable text
if grep -Fl "Font" "$1"; then multilayer=true; fi
#If it's not multi-layered, then perform the OCR
if [ "$multilayer" == "false" ];
then
mkdir $TMPDIR/"$INFILENAME/"
echo "making temporary directory $TMPDIR/$INFILENAME"
#Split the PDF into pdf's of one page per df in a temporary directory
pdftk "$1" burst output "$TMPDIR/$INFILENAME/pg_%04d.pdf"
echo "burse output to $TMPDIR/$INFILENAME/pg_%04d.pdf"
mv "$1" processed/
for files in "$TMPDIR/$INFILENAME/"*
do
echo "$files"
filename=$(basename "$files")
filename="${filename%.*}"
#Convert the pdf page into an image
gs -r300 -o "$TMPDIR/$INFILENAME/$filename.jpeg" -sDEVICE=jpeg "$TMPDIR/$INFILENAME/$filename.pdf"
#Perform the OCR against the image
tesseract "$TMPDIR/$INFILENAME/$filename.jpeg" "$TMPDIR/$INFILENAME/$filename" hocr
#Combine the OCR'd image and OCR'd text into a multi-layer PDF file of that page
hocr2pdf -i "$TMPDIR/$INFILENAME/$filename.jpeg" -o "$TMPDIR/$INFILENAME/$filename.pdf" < "$TMPDIR/$INFILENAME/$filename.html"
compressed="$filename-compressed.pdf"
#Compress the multi-layered PDF of the page
gs -sDEVICE=pdfwrite -dCompatibilityLevel=1.4 -dNOPAUSE -dQUIET -dBATCH -sOutputFile="$TMPDIR/$INFILENAME/$compressed $TMPDIR/$INFILENAME/$filename.pdf"
mv "$TMPDIR/$INFILENAME/$compressed" "$TMPDIR/$INFILENAME/$filename"
done
#Concatenate all of the multiline PDF pages into a single PDF file
pdftk "$TMPDIR/$INFILENAME/"*.pdf cat output "$OUTFILENAME"
compressed="$OUTFILENAME-compressed.pdf"
#Compress the multi-layered PDF
gs -sDEVICE=pdfwrite -dCompatibilityLevel=1.4 -dNOPAUSE -dQUIET -dBATCH -sOutputFile="$compressed" "$OUTFILENAME"
mv "$compressed" "$2"
rm -rf "$TMPDIR/$INFILENAME"
else
echo "The input file is multi-layered"
mv "$1" "$2"
fi
else
echo "Please enter a valid input pdf file"
exit 2
fi
答案 0 :(得分:1)
解决问题的一个简单方法是不使用您设置的基于线程配置文件的策略,并将脚本组件替换为如下配置的池化java组件:
<pooled-component class="org.mule.PooledComponent">
<pooling-profile exhaustedAction="WHEN_EXHAUSTED_WAIT" maxActive="0" maxWait="-1" initialisationPolicy="INITIALISE_NONE"/>
</pooled-component>
您应该将bash脚本的调用放在该组件中。您可以找到有关它的文档here
答案 1 :(得分:0)
@genjosanzo ......你让我在正确的轨道上思考处理策略。这是最终工作的解决方案:
<?xml version="1.0" encoding="UTF-8"?>
<mule xmlns:cxf="http://www.mulesoft.org/schema/mule/cxf"
xmlns:scripting="http://www.mulesoft.org/schema/mule/scripting"
xmlns:http="http://www.mulesoft.org/schema/mule/http" xmlns:file="http://www.mulesoft.org/schema/mule/file"
xmlns="http://www.mulesoft.org/schema/mule/core" xmlns:doc="http://www.mulesoft.org/schema/mule/documentation"
xmlns:spring="http://www.springframework.org/schema/beans" version="CE-3.3.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="
http://www.mulesoft.org/schema/mule/file http://www.mulesoft.org/schema/mule/file/current/mule-file.xsd
http://www.mulesoft.org/schema/mule/scripting http://www.mulesoft.org/schema/mule/scripting/current/mule-scripting.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-current.xsd
http://www.mulesoft.org/schema/mule/core http://www.mulesoft.org/schema/mule/core/current/mule.xsd
http://www.mulesoft.org/schema/mule/cxf http://www.mulesoft.org/schema/mule/cxf/current/mule-cxf.xsd
http://www.mulesoft.org/schema/mule/http http://www.mulesoft.org/schema/mule/http/current/mule-http.xsd ">
<queued-asynchronous-processing-strategy
name="limitThreads" maxThreads="7"
doc:name="Queued Asynchronous Processing Strategy" />
<flow name="Poll_DirectoryFlow1" doc:name="Poll_DirectoryFlow1"
processingStrategy="limitThreads">
<file:inbound-endpoint path="/home/administrator/Downloads/Input"
responseTimeout="10000" doc:name="File" pollingFrequency="60000"
fileAge="5000">
<file:filename-regex-filter pattern="^.*\.(pdf)$"
caseSensitive="false" />
</file:inbound-endpoint>
<scripting:component doc:name="Script">
<scripting:script engine="Groovy">
<scripting:text><![CDATA[def filename = message.getInboundProperty('originalFilename')
println "$filename"
def directory = message.getInboundProperty('directory')
println "$directory"
"mkdir processed".execute()
def command = ["/home/administrator/ocr.sh", "$directory/$filename", "/home/administrator/Downloads/Output/$filename"]
println "$command"
def cmd = command.execute()
cmd.waitFor()
println "$filename has completed processing"]]></scripting:text>
</scripting:script>
</scripting:component>
<echo-component doc:name="Echo"/>
</flow>
</mule>