Problems with installation

[moonlight2397]

I get an error while installing - The command '/bin/bash -c apt-get install -y python-dev python-pip graphviz graphviz-dev libxml2-dev libxslt-dev && rm -rf /var/lib/apt/lists/* && pip2 install virtualenvwrapper==4.8.2 && echo "export WORKON_HOME=$HOME/.virtualenvs" > ~/.profile && echo "source /usr/local/bin/virtualenvwrapper.sh" > ~/.profile && source ~/.profile && mkvirtualenv -p python2.7 discoursegraphs' returned a non-zero code: 1

The full output is given below

`Collecting scandir; python_version < "3.5" (from pathlib2<3,>=2.3.3; python_version < "3.4" and sys_platform != "win32"->virtualenv->virtualenvwrapper==4.8.2)
Downloading https://files.pythonhosted.org/packages/df/f5/9c052db7bd54d0cbf1bc0bb6554362bba1012d03e5888950a4f5c5dadc4e/scandir-1.10.0.tar.gz
Building wheels for collected packages: stevedore, unknown, unknown, filelock, unknown, scandir
Running setup.py bdist_wheel for stevedore: started
Running setup.py bdist_wheel for stevedore: finished with status 'done'
Stored in directory: /root/.cache/pip/wheels/f2/da/da/c4d8e81b611d95cc588f65ab4f8997f0a4b51e66df071e11f0
Running setup.py bdist_wheel for unknown: started
Running setup.py bdist_wheel for unknown: finished with status 'done'
Stored in directory: /root/.cache/pip/wheels/27/c0/26/4a2f63cf61535cc65dcfbdfe1aaaefe5bc956a3eeef44037ea
Running setup.py bdist_wheel for unknown: started
Running setup.py bdist_wheel for unknown: finished with status 'done'
Stored in directory: /root/.cache/pip/wheels/26/71/44/c8fdeed2c1a7b49783e1d1435d94c564fd6bfe7f1e3eeba14b
Running setup.py bdist_wheel for filelock: started
Running setup.py bdist_wheel for filelock: finished with status 'done'
Stored in directory: /root/.cache/pip/wheels/66/13/60/ef107438d90e4aad6320e3424e50cfce5e16d1e9aad6d38294
Running setup.py bdist_wheel for unknown: started
Running setup.py bdist_wheel for unknown: finished with status 'error'
Complete output from command /usr/bin/python -u -c "import setuptools, tokenize;file='/tmp/pip-build-714n8d/unknown/setup.py';exec(compile(getattr(tokenize, 'open', open)(file).read().replace('\r\n', '\n'), file, 'exec'))" bdist_wheel -d /tmp/tmpRKYvJXpip-wheel- --python-tag cp27:
Traceback (most recent call last):
File "", line 1, in
IOError: [Errno 2] No such file or directory: '/tmp/pip-build-714n8d/unknown/setup.py'

---

Failed building wheel for unknown
Running setup.py clean for unknown
Complete output from command /usr/bin/python -u -c "import setuptools, tokenize;file='/tmp/pip-build-714n8d/unknown/setup.py';exec(compile(getattr(tokenize, 'open', open)(file).read().replace('\r\n', '\n'), file, 'exec'))" clean --all:
Traceback (most recent call last):
File "", line 1, in
IOError: [Errno 2] No such file or directory: '/tmp/pip-build-714n8d/unknown/setup.py'

---

Failed cleaning build dir for unknown
Running setup.py bdist_wheel for scandir: started
Running setup.py bdist_wheel for scandir: finished with status 'done'
Stored in directory: /root/.cache/pip/wheels/91/95/75/19c98a91239878abbc7c59970abd3b4e0438a7dd5b61778335
Successfully built stevedore unknown unknown filelock scandir
Failed to build unknown
Installing collected packages: unknown, appdirs, distlib, unknown, filelock, scandir, pathlib2, virtualenv, pbr, stevedore, virtualenv-clone, virtualenvwrapper
Successfully installed appdirs-1.4.4 distlib-0.3.1 filelock-3.0.12 pathlib2-2.3.5 pbr-5.5.1 scandir-1.10.0 stevedore-3.3.0 unknown-0.0.0 unknown-0.0.0 virtualenv-20.2.2 virtualenv-clone-0.5.4 virtualenvwrapper-4.8.2
You are using pip version 8.1.1, however version 20.3.3 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Traceback (most recent call last):
File "/usr/lib/python2.7/runpy.py", line 174, in _run_module_as_main
"main", fname, loader, pkg_name)
File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/usr/local/lib/python2.7/dist-packages/virtualenvwrapper/hook_loader.py", line 16, in
from stevedore import ExtensionManager
File "/usr/local/lib/python2.7/dist-packages/stevedore/init.py", line 11, in
from .extension import ExtensionManager
File "/usr/local/lib/python2.7/dist-packages/stevedore/extension.py", line 19, in
from . import _cache
File "/usr/local/lib/python2.7/dist-packages/stevedore/_cache.py", line 31, in
import importlib_metadata
ImportError: No module named importlib_metadata
virtualenvwrapper.sh: There was a problem running the initialization hooks.

If Python could not import the module virtualenvwrapper.hook_loader,
check that virtualenvwrapper has been installed for
VIRTUALENVWRAPPER_PYTHON=/usr/bin/python and that PATH is
set properly.
Traceback (most recent call last):
File "/usr/local/bin/virtualenv", line 7, in
from virtualenv.main import run_with_catch
File "/usr/local/lib/python2.7/dist-packages/virtualenv/init.py", line 3, in
from .run import cli_run, session_via_cli
File "/usr/local/lib/python2.7/dist-packages/virtualenv/run/init.py", line 12, in
from .plugin.activators import ActivationSelector
File "/usr/local/lib/python2.7/dist-packages/virtualenv/run/plugin/activators.py", line 6, in
from .base import ComponentBuilder
File "/usr/local/lib/python2.7/dist-packages/virtualenv/run/plugin/base.py", line 9, in
from importlib_metadata import entry_points
ImportError: No module named importlib_metadata
The command '/bin/bash -c apt-get install -y python-dev python-pip graphviz graphviz-dev libxml2-dev libxslt-dev && rm -rf /var/lib/apt/lists/* && pip2 install virtualenvwrapper==4.8.2 && echo "export WORKON_HOME=$HOME/.virtualenvs" > ~/.profile && echo "source /usr/local/bin/virtualenvwrapper.sh" > ~/.profile && source ~/.profile && mkvirtualenv -p python2.7 discoursegraphs' returned a non-zero code: 1`

[arne-cl]

Hi @moonlight2397,

thank you for bringing this up!
Until I find the time to fix this, you can still use the pre-built Docker image from Docker Hub like this:

/tmp$ docker run -p 9000:9000 nlpbox/corenlp:3.9.2

/tmp$ cat input.txt 
Although they didn't like it, they accepted the offer.

/tmp$ docker run --net host -v /tmp:/tmp -ti nlpbox/dplp /tmp/input.txt
0       1       Although        although        IN      mark    3       O        (ROOT (SBAR (IN Although)      1
0       2       they    they    PRP     nsubj   3       O        (S (NP (PRP they))     1
0       3       didn't  didn't  VBP     root    0       O        (VP (VBP didn't)       1
0       4       like    like    IN      case    5       O        (PP (IN like)  1
0       5       it,     it,     NN      nmod    3       O        (NP (NP (NN it,))      1
0       6       they    they    PRP     nsubj   7       O        (SBAR (S (NP (PRP they))       2
0       7       accepted        accept  VBD     acl:relcl       5       O        (VP (VBD accepted)     2
0       8       the     the     DT      det     9       O        (NP (DT the)   2
0       9       offer.  offer.  NN      dobj    7       O        (NN offer.)))))))))))  2

[anonymousResearch12]

I got the same problem as @moonlight2397. The /tmp$ docker run -p 9000:9000 nlpbox/corenlp:3.9.2 stops at:
docker run -p 9000:9000 nlpbox/corenlp:3.9.2
[main] INFO CoreNLP - --- StanfordCoreNLPServer#main() called ---
[main] INFO CoreNLP - setting default constituency parser
[main] INFO CoreNLP - using SR parser: edu/stanford/nlp/models/srparser/englishSR.ser.gz
[main] INFO CoreNLP - Threads: 16
[main] INFO CoreNLP - Starting server...
[main] INFO CoreNLP - StanfordCoreNLPServer listening at /0.0.0.0:9000

The response of the line "/tmp$ docker run --net host -v /tmp:/tmp -ti nlpbox/dplp /tmp/input.txt" is:
Could not parse input file ...
Calling CoreNLP resulted in this error: [Errno 2] No such file or directory: '.xml'

It seems that the corenlp module produces the problem?

[moonlight2397]

I got the same problem as @moonlight2397. The /tmp$ docker run -p 9000:9000 nlpbox/corenlp:3.9.2 stops at:
docker run -p 9000:9000 nlpbox/corenlp:3.9.2
[main] INFO CoreNLP - --- StanfordCoreNLPServer#main() called ---
[main] INFO CoreNLP - setting default constituency parser
[main] INFO CoreNLP - using SR parser: edu/stanford/nlp/models/srparser/englishSR.ser.gz
[main] INFO CoreNLP - Threads: 16
[main] INFO CoreNLP - Starting server...
[main] INFO CoreNLP - StanfordCoreNLPServer listening at /0.0.0.0:9000

The response of the line "/tmp$ docker run --net host -v /tmp:/tmp -ti nlpbox/dplp /tmp/input.txt" is:
Could not parse input file ...
Calling CoreNLP resulted in this error: [Errno 2] No such file or directory: '.xml'

It seems that the corenlp module produces the problem?

I am not sure where the problem happens. But I do have a few solutions that worked for me. You can use the docker image for dplp, or run it through rst-workbench. You can use also the original DPLP repo with CoreNLP locally, and copy the code from arne-cl's dplp repo, which gives the output in a format that is compatible with other NLPBox services.

[arne-cl]

Hi @swords-fyx,
your problem looks very different to what moonlight2397 described.

When you run docker run -p 9000:9000 nlpbox/corenlp:3.9.2, can you go to
http://localhost:9000/ in your browser to verify that CoreNLP is running and parse your
/tmp/input.txt there manually?

If that works, please post the output of cat /tmp/input.txt and docker run --net host -v /tmp:/tmp -ti nlpbox/dplp /tmp/input.txt.
Mine looks like this:

arne@t470:/tmp$ cat /tmp/input.txt
Although they didn't like her, they accepted the offer.
arne@t470:/tmp$ docker run --net host -v /tmp:/tmp -ti nlpbox/dplp /tmp/input.txt
Unable to find image 'nlpbox/dplp:latest' locally
latest: Pulling from nlpbox/dplp
18d680d61657: Already exists
0addb6fece63: Already exists
78e58219b215: Already exists
eb6959a66df2: Already exists
b8a55676c2c9: Pull complete
da406a51cfb4: Pull complete
28879b653754: Pull complete
ac771ea77e59: Pull complete
c1c78a2e677b: Pull complete
9ec920018318: Pull complete
14fe02bb7751: Pull complete
Digest: sha256:378fc31e02cd82d68b43014a7600fb6b99265e1c4893ecb0fb174e3ea63c397f
Status: Downloaded newer image for nlpbox/dplp:latest
0       1       Although        although        IN      mark    3       O        (ROOT (SBAR (IN Although)      1
0       2       they    they    PRP     nsubj   3       O        (S (NP (PRP they))     1
0       3       didn't  didn't  VBP     root    0       O        (VP (VBP didn't)       1
0       4       like    like    IN      case    5       O        (PP (IN like)  1
0       5       her,    her,    NN      nmod    3       O        (NP (NP (NN her,))     1
0       6       they    they    PRP     nsubj   7       O        (SBAR (S (NP (PRP they))       2
0       7       accepted        accept  VBD     acl:relcl       5       O        (VP (VBD accepted)     2
0       8       the     the     DT      det     9       O        (NP (DT the)   2
0       9       offer.  offer.  NN      dobj    7       O        (NN offer.)))))))))))  2

ParentedTree('NS-elaboration', [ParentedTree('EDU', ['1']), ParentedTree('EDU', ['2'])])

Please also post the output from the other window where CoreNLP is running.
It looks like this for me:

arne@t470:~$ docker run -p 9000:9000 nlpbox/corenlp:3.9.2
[main] INFO CoreNLP - --- StanfordCoreNLPServer#main() called ---
[main] INFO CoreNLP - setting default constituency parser
[main] INFO CoreNLP - using SR parser: edu/stanford/nlp/models/srparser/englishSR.ser.gz
[main] INFO CoreNLP -     Threads: 4
[main] INFO CoreNLP - Starting server...
[main] INFO CoreNLP - StanfordCoreNLPServer listening at /0.0.0.0:9000

It ran until there when I started CoreNLP, and when I ran the input file against DPLP, CoreNLP's output looked like this:

[pool-1-thread-2] INFO CoreNLP - [/172.17.0.1:57694] API call w/annotators tokenize,ssplit,pos,lemma,ner,parse
Although they didn't like her, they accepted the offer.
[pool-1-thread-2] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
[pool-1-thread-2] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
[pool-1-thread-2] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator pos
[pool-1-thread-2] INFO edu.stanford.nlp.tagger.maxent.MaxentTagger - Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [1.2 sec].
[pool-1-thread-2] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator lemma
[pool-1-thread-2] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ner
[pool-1-thread-2] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [5.0 sec].
[pool-1-thread-2] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [0.9 sec].
[pool-1-thread-2] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [0.8 sec].
[pool-1-thread-2] 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.
[pool-1-thread-2] INFO edu.stanford.nlp.time.TimeExpressionExtractorImpl - Using following SUTime rules: edu/stanford/nlp/models/sutime/defs.sutime.txt,edu/stanford/nlp/models/sutime/english.sutime.txt,edu/stanford/nlp/models/sutime/english.holidays.sutime.txt
[pool-1-thread-2] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 580704 unique entries out of 581863 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_caseless.tab, 0 TokensRegex patterns.
[pool-1-thread-2] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 4869 unique entries out of 4869 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_cased.tab, 0 TokensRegex patterns.
[pool-1-thread-2] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 585573 unique entries from 2 files
[pool-1-thread-2] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator parse
[pool-1-thread-2] INFO edu.stanford.nlp.parser.common.ParserGrammar - Loading parser from serialized file edu/stanford/nlp/models/srparser/englishSR.ser.gz ... done [24.5 sec].

I would also recommend you try https://github.com/NLPbox/dplp-service/ (built on top of dplp-docker) as it has a simpler user interface.