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17 Commits
0.8.0 ... 0.8.3

Author SHA1 Message Date
J. Fernando Sánchez
efb305173e Removed future from __init__
Since __init__ is imported by setup.py, future may not be installed yet.

Other options would be:

* Read VERSION -> and that code has to be duplicated in setup.py and
  senpy (to avoid the import, once again)
* Eval version.py
* Do without versioning :)
2017-03-01 18:28:20 +01:00
J. Fernando Sánchez
2288b04c92 Remove iteritems for py2/3 compatibility 2017-03-01 18:14:44 +01:00
J. Fernando Sánchez
7899cb4d33 Fixed docker upload
Doing docker push without a tag makes the client upload **ALL** the
images it has for that repo.
2017-03-01 17:59:35 +01:00
J. Fernando Sánchez
62ddca79ac Fixed conversion docs 2017-03-01 17:56:17 +01:00
J. Fernando Sánchez
99403b3443 Fix for async
Should fix #11
2017-03-01 12:25:07 +01:00
J. Fernando Sánchez
a0ff528a4b Improved docs and client
* Client now raises an exception on error
* Added conversion to the documentation
2017-02-28 19:38:01 +01:00
J. Fernando Sánchez
97bd245dfc Changed data directory 2017-02-28 18:31:43 +01:00
J. Fernando Sánchez
d8b59d06a4 Converted Ekman2VAD to centroids
* Changed the way modules are imported -> we can now use dotted
  notation (e.g. senpy.plugins.conversion.centroids)
* Refactored ekman2vad's plugin -> generic centroids
* Added some basic tests
2017-02-28 05:28:55 +01:00
J. Fernando Sánchez
453b9f3257 Fixed bugs in Ekman2VAD 2017-02-28 04:01:05 +01:00
J. Fernando Sánchez
5fb858f5fc Fixed error when installing dependencies 2017-02-28 02:24:49 +01:00
J. Fernando Sánchez
bd984a1437 Fix 5 2017-02-27 21:22:10 +01:00
J. Fernando Sánchez
e741b565a1 Fix 4 2017-02-27 20:44:27 +01:00
J. Fernando Sánchez
668a803d89 Will anything break this time? We shall see 2017-02-27 20:38:55 +01:00
J. Fernando Sánchez
9daae8dda7 Please, please, please let it pass!
Am I a complete moron?
2017-02-27 20:22:55 +01:00
J. Fernando Sánchez
c72094b94b Fixed IMAGE names in GL CI 2017-02-27 20:08:10 +01:00
J. Fernando Sánchez
15d456d048 Testing docker in travis 2017-02-27 19:51:53 +01:00
J. Fernando Sánchez
fef06d4333 Fixed image creation issue with GL CI 2017-02-27 19:37:53 +01:00
21 changed files with 352 additions and 207 deletions

View File

@@ -6,12 +6,11 @@ image: gsiupm/dockermake:latest
variables:
DOCKER_DRIVER: overlay
DOCKERFILE: Dockerfile
VERSION: $CI_BUILD_REF
IMAGENAME: $CI_REGISTRY_IMAGE
stages:
- test
- images
- release
- push
- clean
.test: &test_definition
@@ -31,11 +30,7 @@ test-2.7:
.image: &image_definition
stage: images
variables:
PYTHON_VERSION: "3.5"
VERSION: $CI_BUILD_TAG
IMAGENAME: $CI_REGISTRY_IMAGE
stage: push
before_script:
- docker login -u gitlab-ci-token -p $CI_BUILD_TOKEN $CI_REGISTRY
script:
@@ -44,24 +39,20 @@ test-2.7:
- tags
- triggers
image-3.5:
push-3.5:
<<: *image_definition
variables:
PYTHON_VERSION: "3.5"
image-2.7:
push-2.7:
<<: *image_definition
variables:
PYTHON_VERSION: "2.7"
image-latest:
stage: release
push-latest:
<<: *image_definition
variables:
IMAGENAME: $CI_REGISTRY_IMAGE
before_script:
- docker login -u gitlab-ci-token -p $CI_BUILD_TOKEN $CI_REGISTRY
script:
- make -e push-latest
PYTHON_VERSION: latest
only:
- master
- triggers
@@ -70,3 +61,5 @@ clean :
stage: clean
script:
- make -e clean
only:
- master

View File

@@ -1,8 +1,13 @@
sudo: required
services:
- docker
language: python
python:
- "2.7"
- "3.4"
- "3.5"
install: "pip install -r requirements.txt"
env:
- PYV=2.7
- PYV=3.4
- PYV=3.5
# run nosetests - Tests
script: nosetests
script: make test-$PYV

View File

@@ -6,7 +6,7 @@ RUN mkdir /cache/ /senpy-plugins /data/
VOLUME /data/
ENV PIP_CACHE_DIR=/cache/
ENV PIP_CACHE_DIR=/cache/ SENPY_DATA=/data
ONBUILD COPY . /senpy-plugins/
ONBUILD RUN python -m senpy --only-install -f /senpy-plugins

View File

@@ -4,7 +4,8 @@ NAME=senpy
REPO=gsiupm
VERSION=$(shell git describe --tags --dirty 2>/dev/null)
TARNAME=$(NAME)-$(VERSION).tar.gz
IMAGENAME=$(REPO)/$(NAME):$(VERSION)
IMAGENAME=$(REPO)/$(NAME)
IMAGEWTAG=$(IMAGENAME):$(VERSION)
action="test-${PYMAIN}"
all: build run
@@ -35,24 +36,24 @@ quick_build: $(addprefix build-, $(PYMAIN))
build: $(addprefix build-, $(PYVERSIONS))
build-%: version Dockerfile-%
docker build -t '$(IMAGENAME)-python$*' -f Dockerfile-$* .;
docker build -t '$(IMAGEWTAG)-python$*' -f Dockerfile-$* .;
quick_test: $(addprefix test-,$(PYMAIN))
dev-%:
@docker start $(NAME)-dev || (\
@docker start $(NAME)-dev$* || (\
$(MAKE) build-$*; \
docker run -d -w /usr/src/app/ -v $$PWD:/usr/src/app --entrypoint=/bin/bash -p 5000:5000 -ti --name $(NAME)-dev '$(IMAGENAME)-python$*'; \
docker run -d -w /usr/src/app/ -v $$PWD:/usr/src/app --entrypoint=/bin/bash -ti --name $(NAME)-dev$* '$(IMAGEWTAG)-python$*'; \
)\
docker exec -ti $(NAME)-dev bash
docker exec -ti $(NAME)-dev$* bash
dev: dev-$(PYMAIN)
test-all: $(addprefix test-,$(PYVERSIONS))
test-%: build-%
docker run --rm --entrypoint /usr/local/bin/python -w /usr/src/app $(IMAGENAME)-python$* setup.py test
docker run --rm --entrypoint /usr/local/bin/python -w /usr/src/app $(IMAGEWTAG)-python$* setup.py test
test: test-$(PYMAIN)
@@ -66,15 +67,6 @@ pip_test-%: sdist
pip_test: $(addprefix pip_test-,$(PYVERSIONS))
upload-%: test-%
docker push '$(IMAGENAME)-python$*'
upload: test $(addprefix upload-,$(PYVERSIONS))
docker tag '$(IMAGENAME)-python$(PYMAIN)' '$(IMAGENAME)'
docker tag '$(IMAGENAME)-python$(PYMAIN)' '$(REPO)/$(NAME)'
docker push '$(IMAGENAME)'
docker push '$(REPO)/$(NAME)'
clean:
@docker ps -a | awk '/$(REPO)\/$(NAME)/{ split($$2, vers, "-"); if(vers[0] != "${VERSION}"){ print $$1;}}' | xargs docker rm -v 2>/dev/null|| true
@docker images | awk '/$(REPO)\/$(NAME)/{ split($$2, vers, "-"); if(vers[0] != "${VERSION}"){ print $$1":"$$2;}}' | xargs docker rmi 2>/dev/null|| true
@@ -96,18 +88,20 @@ pip_upload:
pip_test: $(addprefix pip_test-,$(PYVERSIONS))
run-%: build-%
docker run --rm -p 5000:5000 -ti '$(IMAGENAME)-python$(PYMAIN)' --default-plugins
docker run --rm -p 5000:5000 -ti '$(IMAGEWTAG)-python$(PYMAIN)' --default-plugins
run: run-$(PYMAIN)
push-latest: build-$(PYMAIN)
docker tag $(IMAGENAME)-python$(PYMAIN) $(IMAGENAME)
docker push $(IMAGENAME)
docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGEWTAG)'
docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGENAME)'
docker push '$(IMAGENAME):latest'
docker push '$(IMAGEWTAG)'
push-%: build-%
docker push $(IMAGENAME)-python$*
docker push $(IMAGENAME):$(VERSION)-python$*
ci:
gitlab-runner exec docker --docker-volumes /var/run/docker.sock:/var/run/docker.sock --env CI_PROJECT_NAME=$(NAME) ${action}
.PHONY: test test-% test-all build-% build test pip_test run yapf dev ci version .FORCE
.PHONY: test test-% test-all build-% build test pip_test run yapf push-main push-% dev ci version .FORCE

View File

@@ -62,6 +62,7 @@ NIF API
:query o outformat: one of `turtle` (default), `text`, `json-ld`
:query p prefix: prefix for the URIs
:query algo algorithm: algorithm/plugin to use for the analysis. For a list of options, see :http:get:`/api/plugins`. If not provided, the default plugin will be used (:http:get:`/api/plugins/default`).
:query algo emotionModel: desired emotion model in the results. If the requested algorithm does not use that emotion model, there are conversion plugins specifically for this. If none of the plugins match, an error will be returned, which includes the results *as is*.
:reqheader Accept: the response content type depends on
:mailheader:`Accept` header
@@ -69,6 +70,7 @@ NIF API
header of request
:statuscode 200: no error
:statuscode 404: service not found
:statuscode 400: error while processing the request
.. http:post:: /api
@@ -94,50 +96,52 @@ NIF API
"@context": {
...
},
"sentiment140": {
"name": "sentiment140",
"is_activated": true,
"version": "0.1",
"extra_params": {
"@id": "extra_params_sentiment140_0.1",
"language": {
"required": false,
"@id": "lang_sentiment140",
"options": [
"es",
"en",
"auto"
],
"aliases": [
"language",
"l"
]
}
},
"@id": "sentiment140_0.1"
},
"rand": {
"name": "rand",
"is_activated": true,
"version": "0.1",
"extra_params": {
"@id": "extra_params_rand_0.1",
"language": {
"required": false,
"@id": "lang_rand",
"options": [
"es",
"en",
"auto"
],
"aliases": [
"language",
"l"
]
}
},
"@id": "rand_0.1"
}
"@type": "plugins",
"plugins": [
{
"name": "sentiment140",
"is_activated": true,
"version": "0.1",
"extra_params": {
"@id": "extra_params_sentiment140_0.1",
"language": {
"required": false,
"@id": "lang_sentiment140",
"options": [
"es",
"en",
"auto"
],
"aliases": [
"language",
"l"
]
}
},
"@id": "sentiment140_0.1"
}, {
"name": "rand",
"is_activated": true,
"version": "0.1",
"extra_params": {
"@id": "extra_params_rand_0.1",
"language": {
"required": false,
"@id": "lang_rand",
"options": [
"es",
"en",
"auto"
],
"aliases": [
"language",
"l"
]
}
},
"@id": "rand_0.1"
}
]
}
@@ -148,7 +152,7 @@ NIF API
.. sourcecode:: http
GET /api/plugins/rand HTTP/1.1
GET /api/plugins/rand/ HTTP/1.1
Host: localhost
Accept: application/json, text/javascript
@@ -159,6 +163,7 @@ NIF API
{
"@id": "rand_0.1",
"@type": "sentimentPlugin",
"extra_params": {
"@id": "extra_params_rand_0.1",
"language": {
@@ -185,24 +190,3 @@ NIF API
Return the information about the default plugin.
.. http:get:: /api/plugins/<pluginname>/{de}activate
{De}activate a plugin.
**Example request**:
.. sourcecode:: http
GET /api/plugins/rand/deactivate HTTP/1.1
Host: localhost
Accept: application/json, text/javascript
**Example response**:
.. sourcecode:: http
{
"@context": {},
"message": "Ok"
}

116
docs/conversion.rst Normal file
View File

@@ -0,0 +1,116 @@
Conversion
----------
Senpy includes experimental support for emotion/sentiment conversion plugins.
Use
===
Consider the original query: http://127.0.0.1:5000/api/?i=hello&algo=emoRand
The requested plugin (emoRand) returns emotions using Ekman's model (or big6 in EmotionML):
.. code:: json
... rest of the document ...
{
"@type": "emotionSet",
"onyx:hasEmotion": {
"@type": "emotion",
"onyx:hasEmotionCategory": "emoml:big6anger"
},
"prov:wasGeneratedBy": "plugins/emoRand_0.1"
}
To get these emotions in VAD space (FSRE dimensions in EmotionML), we'd do this:
http://127.0.0.1:5000/api/?i=hello&algo=emoRand&emotionModel=emoml:fsre-dimensions
This call, provided there is a valid conversion plugin from Ekman's to VAD, would return something like this:
.. code:: json
... rest of the document ...
{
"@type": "emotionSet",
"onyx:hasEmotion": {
"@type": "emotion",
"onyx:hasEmotionCategory": "emoml:big6anger"
},
"prov:wasGeneratedBy": "plugins/emoRand_0.1"
}, {
"@type": "emotionSet",
"onyx:hasEmotion": {
"@type": "emotion",
"A": 7.22,
"D": 6.28,
"V": 8.6
},
"prov:wasGeneratedBy": "plugins/Ekman2VAD_0.1"
}
That is called a *full* response, as it simply adds the converted emotion alongside.
It is also possible to get the original emotion nested within the new converted emotion, using the `conversion=nested` parameter:
.. code:: json
... rest of the document ...
{
"@type": "emotionSet",
"onyx:hasEmotion": {
"@type": "emotion",
"onyx:hasEmotionCategory": "emoml:big6anger"
},
"prov:wasGeneratedBy": "plugins/emoRand_0.1"
"onyx:wasDerivedFrom": {
"@type": "emotionSet",
"onyx:hasEmotion": {
"@type": "emotion",
"A": 7.22,
"D": 6.28,
"V": 8.6
},
"prov:wasGeneratedBy": "plugins/Ekman2VAD_0.1"
}
}
Lastly, `conversion=filtered` would only return the converted emotions.
Developing a conversion plugin
================================
Conversion plugins are discovered by the server just like any other plugin.
The difference is the slightly different API, and the need to specify the `source` and `target` of the conversion.
For instance, an emotion conversion plugin needs the following:
.. code:: yaml
---
onyx:doesConversion:
- onyx:conversionFrom: emoml:big6
onyx:conversionTo: emoml:fsre-dimensions
- onyx:conversionFrom: emoml:fsre-dimensions
onyx:conversionTo: emoml:big6
.. code:: python
class MyConversion(EmotionConversionPlugin):
def convert(self, emotionSet, fromModel, toModel, params):
pass

View File

@@ -1,8 +1,3 @@
.. Senpy documentation master file, created by
sphinx-quickstart on Tue Feb 24 08:57:32 2015.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Welcome to Senpy's documentation!
=================================
@@ -15,5 +10,6 @@ Contents:
api
schema
plugins
conversion
demo
:maxdepth: 2

View File

@@ -1,5 +1,7 @@
Developing new plugins
----------------------
This document describes how to develop a new analysis plugin. For an example of conversion plugins, see :doc:`conversion`.
Each plugin represents a different analysis process.There are two types of files that are needed by senpy for loading a plugin:
- Definition file, has the ".senpy" extension.

View File

@@ -48,8 +48,8 @@ Once the server is launched, there is a basic endpoint in the server, which prov
In case you want to know the different endpoints of the server, there is more information available in the NIF API section_.
Video example
=============
CLI
===
This video shows how to use senpy through command-line tool.
@@ -58,18 +58,23 @@ https://asciinema.org/a/9uwef1ghkjk062cw2t4mhzpyk
Request example in python
=========================
This example shows how to make a request to a plugin.
This example shows how to make a request to the default plugin:
.. code:: python
import requests
import json
from senpy.client import Client
r = requests.get('http://127.0.0.1:5000/api/?algo=rand&i=Testing')
response = r.content.decode('utf-8')
response_json = json.loads(response)
c = Client('http://127.0.0.1:5000/api/')
r = c.analyse('hello world')
for entry in r.entries:
print('{} -> {}'.format(entry.text, entry.emotions))
.. _section: http://senpy.readthedocs.org/en/latest/api.html
Conversion
==========
See :doc:`conversion`

View File

@@ -17,7 +17,6 @@
"""
Sentiment analysis server in Python
"""
from __future__ import print_function
from .version import __version__
import logging

View File

@@ -18,7 +18,6 @@ class Client(object):
try:
resp = models.from_dict(response.json())
resp.validate(resp)
return resp
except Exception as ex:
logger.error(('There seems to be a problem with the response:\n'
'\tURL: {url}\n'
@@ -33,3 +32,6 @@ class Client(object):
code=response.status_code,
content=response.content))
raise ex
if isinstance(resp, models.Error):
raise resp
return resp

View File

@@ -13,10 +13,11 @@ from .api import API_PARAMS, NIF_PARAMS, parse_params
from threading import Thread
import os
import copy
import fnmatch
import inspect
import sys
import imp
import importlib
import logging
import traceback
import yaml
@@ -180,7 +181,7 @@ class Senpy(object):
newentries = []
for i in resp.entries:
if output == "full":
newemotions = i.emotions.copy()
newemotions = copy.deepcopy(i.emotions)
else:
newemotions = []
for j in i.emotions:
@@ -252,7 +253,7 @@ class Senpy(object):
logger.error(msg)
raise Error(msg)
if sync:
if sync or 'async' in plugin and not plugin.async:
act()
else:
th = Thread(target=act)
@@ -276,7 +277,7 @@ class Senpy(object):
"Error deactivating plugin {}: {}".format(plugin.name, ex))
logger.error("Trace: {}".format(traceback.format_exc()))
if sync:
if sync or 'async' in plugin and not plugin.async:
deact()
else:
th = Thread(target=deact)
@@ -288,7 +289,7 @@ class Senpy(object):
def install_deps(self):
for i in self.plugins.values():
self._install_deps(i._info)
self._install_deps(i)
@classmethod
def _install_deps(cls, info=None):
@@ -302,6 +303,13 @@ class Senpy(object):
logger.info('Installing requirements: ' + str(requirements))
pip.main(pip_args)
@classmethod
def _load_module(cls, name, root):
sys.path.append(root)
tmp = importlib.import_module(name)
sys.path.remove(root)
return tmp
@classmethod
def _load_plugin_from_info(cls, info, root):
if not cls.validate_info(info):
@@ -309,11 +317,10 @@ class Senpy(object):
return None, None
module = info["module"]
name = info["name"]
sys.path.append(root)
(fp, pathname, desc) = imp.find_module(module, [root, ])
cls._install_deps(info)
tmp = imp.load_module(module, fp, pathname, desc)
sys.path.remove(root)
tmp = cls._load_module(module, root)
candidate = None
for _, obj in inspect.getmembers(tmp):
if inspect.isclass(obj) and inspect.getmodule(obj) == tmp:

View File

@@ -3,11 +3,12 @@ standard_library.install_aliases()
import inspect
import os.path
import os
import pickle
import logging
import tempfile
import copy
from . import models
from .. import models
logger = logging.getLogger(__name__)
@@ -92,8 +93,8 @@ class ShelfMixin(object):
@property
def shelf_file(self):
if 'shelf_file' not in self or not self['shelf_file']:
self.shelf_file = os.path.join(tempfile.gettempdir(),
self.name + '.p')
sd = os.environ.get('SENPY_DATA', tempfile.gettempdir())
self.shelf_file = os.path.join(sd, self.name + '.p')
return self['shelf_file']
def save(self):

View File

View File

@@ -0,0 +1,52 @@
from senpy.plugins import EmotionConversionPlugin
from senpy.models import EmotionSet, Emotion, Error
import logging
logger = logging.getLogger(__name__)
class CentroidConversion(EmotionConversionPlugin):
def _forward_conversion(self, original):
"""Sum the VAD value of all categories found."""
res = Emotion()
for e in original.onyx__hasEmotion:
category = e.onyx__hasEmotionCategory
if category in self.centroids:
for dim, value in self.centroids[category].items():
try:
res[dim] += value
except Exception:
res[dim] = value
return res
def _backwards_conversion(self, original):
"""Find the closest category"""
dimensions = list(self.centroids.values())[0]
def distance(e1, e2):
return sum((e1[k] - e2.get(self.aliases[k], 0)) for k in dimensions)
emotion = ''
mindistance = 10000000000000000000000.0
for state in self.centroids:
d = distance(self.centroids[state], original)
if d < mindistance:
mindistance = d
emotion = state
result = Emotion(onyx__hasEmotionCategory=emotion)
return result
def convert(self, emotionSet, fromModel, toModel, params):
cf, ct = self.centroids_direction
logger.debug('{}\n{}\n{}\n{}'.format(emotionSet, fromModel, toModel, params))
e = EmotionSet()
if fromModel == cf:
e.onyx__hasEmotion.append(self._forward_conversion(emotionSet))
elif fromModel == ct:
for i in emotionSet.onyx__hasEmotion:
e.onyx__hasEmotion.append(self._backwards_conversion(i))
else:
raise Error('EMOTION MODEL NOT KNOWN')
yield e

View File

@@ -1,56 +0,0 @@
from senpy.plugins import EmotionConversionPlugin
from senpy.models import EmotionSet, Emotion, Error
import logging
logger = logging.getLogger(__name__)
import math
class WNA2VAD(EmotionConversionPlugin):
def _ekman_to_vad(self, ekmanSet):
potency = 0
arousal = 0
dominance = 0
for e in ekmanSet.onyx__hasEmotion:
category = e.onyx__hasEmotionCategory
centroid = self.centroids[category]
potency += centroid['V']
arousal += centroid['A']
dominance += centroid['D']
e = Emotion({'emoml:potency': potency,
'emoml:arousal': arousal,
'emoml:dominance': dominance})
return e
def _vad_to_ekman(self, VADEmotion):
V = VADEmotion['emoml:valence']
A = VADEmotion['emoml:potency']
D = VADEmotion['emoml:dominance']
emotion = ''
value = 10000000000000000000000.0
for state in self.centroids:
valence = V - self.centroids[state]['V']
arousal = A - self.centroids[state]['A']
dominance = D - self.centroids[state]['D']
new_value = math.sqrt((valence**2) +
(arousal**2) +
(dominance**2))
if new_value < value:
value = new_value
emotion = state
result = Emotion(onyx__hasEmotionCategory=emotion)
return result
def convert(self, emotionSet, fromModel, toModel, params):
logger.debug('{}\n{}\n{}\n{}'.format(emotionSet, fromModel, toModel, params))
e = EmotionSet()
if fromModel == 'emoml:big6':
e.onyx__hasEmotion.append(self._ekman_to_vad(emotionSet))
elif fromModel == 'emoml:fsre-dimensions':
for i in emotionSet.onyx__hasEmotion:
e.onyx__hasEmotion.append(self._vad_to_ekman(e))
else:
raise Error('EMOTION MODEL NOT KNOWN')
yield e

View File

@@ -1,13 +1,13 @@
---
name: Ekman2VAD
module: ekman2vad
module: senpy.plugins.conversion.centroids
description: Plugin to convert emotion sets from Ekman to VAD
version: 0.1
onyx:doesConversion:
- onyx:conversionFrom: emoml:big6
onyx:conversionTo: emoml:fsre-dimensions
- onyx:conversionFrom: emoml:fsre-dimensions
onyx:conversionTo: wna:WNAModel
onyx:conversionTo: emoml:big6
centroids:
emoml:big6anger:
A: 6.95
@@ -29,7 +29,10 @@ centroids:
A: 5.21
D: 2.82
V: 2.21
centroids_direction:
- emoml:big6
- emoml:fsre-dimensions
aliases:
A: emoml:arousal
V: emoml:potency
V: emoml:valence
D: emoml:dominance

View File

@@ -10,3 +10,5 @@ ignore = E402
max-line-length = 100
[bdist_wheel]
universal=1
[tool:pytest]
addopts = --cov=senpy --cov-report term-missing

View File

@@ -34,8 +34,11 @@ class ModelsTest(TestCase):
url=endpoint + '/', method='GET', params={'input': 'hello'})
error = Call(Error('Nothing'))
with patch('requests.request', return_value=error) as patched:
resp = client.analyse(input='hello', algorithm='NONEXISTENT')
assert isinstance(resp, Error)
try:
client.analyse(input='hello', algorithm='NONEXISTENT')
raise Exception('Exceptions should be raised. This is not golang')
except Error:
pass
patched.assert_called_with(
url=endpoint + '/',
method='GET',

View File

@@ -1,5 +1,6 @@
from __future__ import print_function
import os
from copy import deepcopy
import logging
try:
@@ -9,7 +10,7 @@ except ImportError:
from functools import partial
from senpy.extensions import Senpy
from senpy.models import Error
from senpy.models import Error, Results, Entry, EmotionSet, Emotion
from flask import Flask
from unittest import TestCase
@@ -52,6 +53,7 @@ class ExtensionsTest(TestCase):
assert module
import noop
dir(noop)
self.senpy.install_deps()
def test_installing(self):
""" Enabling a plugin """
@@ -120,3 +122,42 @@ class ExtensionsTest(TestCase):
def test_load_default_plugins(self):
senpy = Senpy(plugin_folder=self.dir, default_plugins=True)
assert len(senpy.plugins) > 1
def test_convert_emotions(self):
self.senpy.activate_all()
plugin = {
'id': 'imaginary',
'onyx:usesEmotionModel': 'emoml:fsre-dimensions'
}
eSet1 = EmotionSet()
eSet1['onyx:hasEmotion'].append(Emotion({
'emoml:arousal': 1,
'emoml:potency': 0,
'emoml:valence': 0
}))
response = Results({
'entries': [Entry({
'text': 'much ado about nothing',
'emotions': [eSet1]
})]
})
params = {'emotionModel': 'emoml:big6',
'conversion': 'full'}
r1 = deepcopy(response)
self.senpy.convert_emotions(r1,
plugin,
params)
assert len(r1.entries[0].emotions) == 2
params['conversion'] = 'nested'
r2 = deepcopy(response)
self.senpy.convert_emotions(r2,
plugin,
params)
assert len(r2.entries[0].emotions) == 1
assert r2.entries[0].emotions[0]['prov:wasDerivedFrom'] == eSet1
params['conversion'] = 'filtered'
r3 = deepcopy(response)
self.senpy.convert_emotions(r3,
plugin,
params)
assert len(r3.entries[0].emotions) == 1

View File

@@ -143,7 +143,3 @@ class ModelsTest(TestCase):
print(t)
g = rdflib.Graph().parse(data=t, format='turtle')
assert len(g) == len(triples)
def test_convert_emotions(self):
"""It should be possible to convert between different emotion models"""
pass