Unhandled rejection TypeError: Cannot read property 'output' of undefined
ajmal-shah opened this issue · comments
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" } }
Hmm input is likely missed. Pathing is likely incompatible on Windows. Do you have a unix system to test it out?
I'm getting the same error on Ubuntu, so that's not it :/
Any update on solving this ?
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.
try setting the environment variable USE_PY2 to true, in case your python version is 2.
process.env.USE_PY2 = true
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.
@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
Let me share my README.md files which I am following to install and use on node js, for your reference.
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-nlpUsage
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 15sYou'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 joinedClient :
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": []
}
]
}
]
}
]
}
]
Has this error been resolved yet ? I am also facing this error
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
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.
For me I had to run python3 -m pip install socketIO_client_nexus to get rid of this error
facing the same issue