Unhandled rejection TypeError: Cannot read property 'output' of undefined

[ajmal-shah]

Hello kengz,

Great work with the modules.

I am facing an error while following the steps in tutorial.

package json :

{ "name": "nlp-app", "version": "1.0.0", "description": "Sample app", "main": "app.js", "scripts": { "test": "echo \"Error: no test specified\" && exit 1" }, "author": "Test", "license": "ISC", "dependencies": { "poly-socketio": "1.1.4", "spacy-nlp": "^1.0.7" } }

[kengz]

Hmm input is likely missed. Pathing is likely incompatible on Windows. Do you have a unix system to test it out?

[skerit]

I'm getting the same error on Ubuntu, so that's not it :/

[swsridhar]

same error on mac as well....

Any update on solving this ?

[peterhuppertz]

I think you need to wait for the servers to be started. I had the same error, so I set a timeout:

setTimeout(() => {
	const nlp = spacyNLP.nlp
	nlp.parse('Bob Brought the pizza to Alice.')
	.then((output) => {
		console.log(output)
		console.log(JSON.stringify(output[0].parse_tree, null, 2))
	})
}, 5000)

Not very elegant.

However, I thought the spacyNLP.server should return a promise. I tried spacyNLP.server({ port: process.env.IOPORT }).then(...), but this does not work.

[tnarek]

try setting the environment variable USE_PY2 to true, in case your python version is 2.
process.env.USE_PY2 = true

[pritesh-volansys]

After set the timeout its working fine for me with same error, but need to adjust the time based on own PC speed.

In my case time out I have set up to 8000.

@peterhuppertz Thank you so much.

[TimHeckel]

@peterhuppertz - I don't think that code is doing anything other than delaying the entire execution by 5 seconds. The const nlp = spacyNLP.nlp ought to be outside the setTimeout for this theory to make any sense, but I've tried that and am still receiving the Cannot read property 'output' of undefined error

[pritesh-volansys]

Let me share my README.md files which I am following to install and use on node js, for your reference.

[pritesh-volansys]

spacy-nlp

Expose Spacy nlp text parsing to Nodejs via socketIO

Installation

# install spacy in python3
python3 -m pip install -U socketIO-client
python3 -m pip install -U spacy
python3 -m spacy.en.download

# install this npm package
npm i --save spacy-nlp

Usage

Server :

const spacyNLP = require('spacy-nlp')
// default port 6466
// start the server with the python client that exposes spacyIO (or use an existing socketIO server at IOPORT)
var serverPromise = spacyNLP.server({ port: process.env.IOPORT })
// Loading spacy may take up to 15s

You'll see log like:

[Sun Oct 09 2016 16:53:33 GMT-0400 (EDT)] INFO Starting poly-socketio server on port: 6466, expecting 1 IO clients
[Sun Oct 09 2016 16:53:33 GMT-0400 (EDT)] INFO Starting socketIO client for python3 at 6466
[Sun Oct 09 2016 16:53:44 GMT-0400 (EDT)] DEBUG cgkb-py mXjDqupv852zUeMPAAAA joined, 0 remains
[Sun Oct 09 2016 16:53:44 GMT-0400 (EDT)] INFO All 1 IO clients have joined

Client :

Once server is ready, i.e. you can use the nodejs client nlp to parse texts:

const spacyNLP = require('spacy-nlp')
const nlp = spacyNLP.nlp

// Note you can pass multiple sentences concat in one string.
nlp.parse('Your text')
  .then((output) => {
    console.log(output)
    console.log(JSON.stringify(output[0].parse_tree, null, 2))
  })

Run the Node :

Input

node spacy.js "your text"

Example :

node spacy.js "what is the weather today in Ahmedabad"

output

[ { text: 'what is the weather today in Ahmedabad',
    len: 7,
    tokens: [ 'what', 'is', 'the', 'weather', 'today', 'in', 'Ahmedabad' ],
    noun_phrases: [ 'what', 'the weather', 'Ahmedabad' ],
    parse_tree: [ [Object] ],
    parse_list:
     [ [Object],
       [Object],
       [Object],
       [Object],
       [Object],
       [Object],
       [Object] ] } ]
[
  {
    "word": "is",
    "lemma": "be",
    "NE": "",
    "POS_fine": "VBZ",
    "POS_coarse": "VERB",
    "arc": "ROOT",
    "modifiers": [
      {
        "word": "what",
        "lemma": "what",
        "NE": "",
        "POS_fine": "WP",
        "POS_coarse": "NOUN",
        "arc": "attr",
        "modifiers": []
      },
      {
        "word": "weather",
        "lemma": "weather",
        "NE": "",
        "POS_fine": "NN",
        "POS_coarse": "NOUN",
        "arc": "nsubj",
        "modifiers": [
          {
            "word": "the",
            "lemma": "the",
            "NE": "",
            "POS_fine": "DT",
            "POS_coarse": "DET",
            "arc": "det",
            "modifiers": []
          },
          {
            "word": "today",
            "lemma": "today",
            "NE": "DATE",
            "POS_fine": "NN",
            "POS_coarse": "NOUN",
            "arc": "npadvmod",
            "modifiers": []
          },
          {
            "word": "in",
            "lemma": "in",
            "NE": "",
            "POS_fine": "IN",
            "POS_coarse": "ADP",
            "arc": "prep",
            "modifiers": [
              {
                "word": "Ahmedabad",
                "lemma": "Ahmedabad",
                "NE": "GPE",
                "POS_fine": "NNP",
                "POS_coarse": "PROPN",
                "arc": "pobj",
                "modifiers": []
              }
            ]
          }
        ]
      }
    ]
  }
]

[divesh987]

Has this error been resolved yet ? I am also facing this error

[divesh987]

I have managed to fix it.
However it is not creating the graphs , it is showing the json ...

python -m spacy download en
First run this command
then go into /src/py/ then nlp.py
and change
from spacy.en import English # NLP with spaCy https://spacy.io
nlp = English() # will take some time to load
into
import spacy
nlp = spacy.load('en')

Also change line 126 from
doc = nlp(input, tag=False, entity=False)
to
doc=nlp(input) because it is not recognising entity and tag as arguments.

Then also make sure youre running start.io.js in the src dir with
node start.io.js

before running node index.js

[kengz]

Specifically for logging issue: New fix from #10 published. Please bump version to 1.0.8 and give it a try.

The graph relies on nodejs getting the json from python (spacy part), then passing it to a neo4j db. The fixed logger should reveal some of these info that were suppressed before.