Python中作为web服务部署的SUTime在每次api命中时都会重新启动

我已经在REDHAT ENTERPRISE LIMITED 7操作系统中将python SUTime部署为web服务。（安装是按照链接完成的，并为此创建了服务器代码） 使用的python版本是2.7.5。 每次调用api时，服务都会重新启动。 错误显示引用如下：

> * Running on http://0.0.0.0:9001/ (Press CTRL+C to quit)
bash: line 1: 11488 Aborted                 python sutime_server.py
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Registering annotator sutime with class edu.stanford.nlp.time.TimeAnnotator
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
[main] INFO edu.stanford.nlp.pipeline.TokenizerAnnotator - TokenizerAnnotator: No tokenizer type provided. Defaulting to PTBTokenizer.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator pos
Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [3.2 sec].
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator lemma
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ner
sutime.includeRange=true
Unknown property: |sutime.includeRange|
sutime.markTimeRanges=true
Unknown property: |sutime.markTimeRanges|
Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... Unknown property: |sutime.includeRange|
Unknown property: |sutime.markTimeRanges|
done [3.7 sec].
Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... Unknown property: |sutime.includeRange|
Unknown property: |sutime.markTimeRanges|
done [2.4 sec].
Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... Unknown property: |sutime.includeRange|
Unknown property: |sutime.markTimeRanges|
done [1.1 sec].
[main] INFO edu.stanford.nlp.time.JollyDayHolidays - Initializing JollyDayHoliday for SUTime from classpath edu/stanford/nlp/models/sutime/jollyday/Holidays_sutime.xml as sutime.binder.1.
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/defs.sutime.txt
Aug 08, 2018 1:38:03 PM edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor appendRules
INFO: Read 83 rules
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/english.sutime.txt
Aug 08, 2018 1:38:04 PM edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor appendRules
INFO: Read 267 rules
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/english.holidays.sutime.txt
Aug 08, 2018 1:38:04 PM edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor appendRules
INFO: Read 25 rules
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator sutime
[main] INFO edu.stanford.nlp.time.JollyDayHolidays - Initializing JollyDayHoliday for SUTime from classpath edu/stanford/nlp/models/sutime/jollyday/Holidays_sutime.xml as sutime.binder.1.
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/defs.sutime.txt
Aug 08, 2018 1:38:04 PM edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor appendRules
INFO: Read 83 rules
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/english.sutime.txt
Aug 08, 2018 1:38:04 PM edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor appendRules
INFO: Read 267 rules
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/english.holidays.sutime.txt
Aug 08, 2018 1:38:04 PM edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor appendRules
INFO: Read 25 rules

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如何解决此问题？

您可以使用全局sutime变量，用sutime初始化该变量，并在整个代码中使用该变量进行api调用

sutime = ''

if sutime == 'None':
            sutime = SUTime(
                jars='path to jar folder')
        else:
            print('JVM Already Started')

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您应该只初始化SUTime一次（它是单例的）。在你的视野之外初始化它。如果您共享一些代码片段，我们也可以提供更大的帮助：）