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Author SHA1 Message Date
J. Fernando Sánchez
87589e994a Fixed version.sh 2017-02-27 12:32:34 +01:00
40 changed files with 473 additions and 840 deletions

2
.gitignore vendored
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@@ -6,5 +6,3 @@ build
README.html
__pycache__
VERSION
Dockerfile-*
Dockerfile

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@@ -1,4 +1,4 @@
image: gsiupm/dockermake:latest
image: docker:latest
# When using dind, it's wise to use the overlayfs driver for
@@ -6,60 +6,75 @@ image: gsiupm/dockermake:latest
variables:
DOCKER_DRIVER: overlay
DOCKERFILE: Dockerfile
IMAGENAME: $CI_REGISTRY_IMAGE
before_script:
- sh version.sh > senpy/VERSION
stages:
- test
- push
- clean
- images
- release
.test: &test_definition
variables:
PIP_CACHE_DIR: "$CI_PROJECT_DIR/pip-cache"
cache:
paths:
- .eggs/
- "$CI_PROJECT_DIR/pip-cache"
- .venv
key: "$CI_PROJECT_NAME"
stage: test
script:
- make -e test-$PYTHON_VERSION
- pip install --use-wheel -U pip setuptools virtualenv
- virtualenv .venv/$PYTHON_VERSION
- source .venv/$PYTHON_VERSION/bin/activate
- pip install --use-wheel -r requirements.txt
- pip install --use-wheel -r test-requirements.txt
- py.test --cov=senpy --cov-report term-missing
- python
test-3.5:
<<: *test_definition
variables:
PYTHON_VERSION: "3.5"
image: "python:3.5"
test-2.7:
<<: *test_definition
variables:
PYTHON_VERSION: "2.7"
image: "python:2.7"
.image: &image_definition
stage: push
variables:
PYTHON_VERSION: "3.5"
before_script:
- docker login -u gitlab-ci-token -p $CI_BUILD_TOKEN $CI_REGISTRY
script:
- make -e push-$PYTHON_VERSION
- docker build -f Dockerfile-3.5 . -t $CI_REGISTRY_IMAGE:$CI_BUILD_REF_SLUG-$PYTHON_VERSION
- docker push $CI_REGISTRY_IMAGE:$CI_BUILD_REF_SLUG-$PYTHON_VERSION
stage: images
only:
- tags
- triggers
push-3.5:
image-3.5:
<<: *image_definition
variables:
PYTHON_VERSION: "3.5"
push-2.7:
image-2.7:
<<: *image_definition
variables:
PYTHON_VERSION: "2.7"
push-latest:
<<: *image_definition
variables:
PYTHON_VERSION: latest
image-latest:
stage: release
before_script:
- docker login -u gitlab-ci-token -p $CI_BUILD_TOKEN $CI_REGISTRY
script:
- docker build -f Dockerfile . -t $CI_REGISTRY_IMAGE
- docker tag $CI_REGISTRY_IMAGE $CI_REGISTRY_IMAGE:$CI_BUILD_REF_SLUG
- docker push $CI_REGISTRY_IMAGE
- docker push $CI_REGISTRY_IMAGE:$CI_BUILD_REF_SLUG
only:
- master
- triggers
clean :
stage: clean
script:
- make -e clean
only:
- master
- triggers

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@@ -1,5 +0,0 @@
- repo: git://github.com/pre-commit/pre-commit-hooks
sha: e626cd57090d8df0be21e4df0f4e55cc3511d6ab
hooks:
- id: flake8
- id: check-json

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

1
Dockerfile Symbolic link
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@@ -0,0 +1 @@
Dockerfile-3.5

21
Dockerfile-2.7 Normal file
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@@ -0,0 +1,21 @@
from python:2.7
RUN mkdir /cache/
ENV PIP_CACHE_DIR=/cache/
WORKDIR /usr/src/app
ADD requirements.txt /usr/src/app/
RUN pip install --use-wheel -r requirements.txt
ADD . /usr/src/app/
RUN pip install .
VOLUME /data/
RUN mkdir /senpy-plugins/
WORKDIR /senpy-plugins/
ONBUILD ADD . /senpy-plugins/
ONBUILD RUN python -m senpy --only-install -f /senpy-plugins
ENTRYPOINT ["python", "-m", "senpy", "-f", "/senpy-plugins/", "--host", "0.0.0.0"]

21
Dockerfile-3.4 Normal file
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@@ -0,0 +1,21 @@
from python:3.4
RUN mkdir /cache/
ENV PIP_CACHE_DIR=/cache/
WORKDIR /usr/src/app
ADD requirements.txt /usr/src/app/
RUN pip install --use-wheel -r requirements.txt
ADD . /usr/src/app/
RUN pip install .
VOLUME /data/
RUN mkdir /senpy-plugins/
WORKDIR /senpy-plugins/
ONBUILD ADD . /senpy-plugins/
ONBUILD RUN python -m senpy --only-install -f /senpy-plugins
ENTRYPOINT ["python", "-m", "senpy", "-f", "/senpy-plugins/", "--host", "0.0.0.0"]

21
Dockerfile-3.5 Normal file
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@@ -0,0 +1,21 @@
FROM python:3.5
RUN mkdir /cache/
ENV PIP_CACHE_DIR=/cache/
WORKDIR /usr/src/app
ADD requirements.txt /usr/src/app/
RUN pip install --use-wheel -r requirements.txt
ADD . /usr/src/app/
RUN pip install .
VOLUME /data/
RUN mkdir /senpy-plugins/
WORKDIR /senpy-plugins/
ONBUILD ADD . /senpy-plugins/
ONBUILD RUN python -m senpy --only-install -f /senpy-plugins
ENTRYPOINT ["python", "-m", "senpy", "-f", "/senpy-plugins/", "--host", "0.0.0.0"]

33
Dockerfile.deps Normal file
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@@ -0,0 +1,33 @@
from python:2.7
RUN apt-get update
RUN apt-get -y install git
RUN mkdir -p /senpy-plugins
RUN apt-get -y install python-numpy
RUN apt-get -y install python-scipy
RUN apt-get -y install python-sklearn
RUN apt-get -y install python-gevent
RUN apt-get -y install libopenblas-dev
RUN apt-get -y install gfortran
RUN apt-get -y install libxml2-dev libxslt1-dev python-dev
#RUN pip install --upgrade pip
ADD id_rsa /root/.ssh/id_rsa
RUN chmod 700 /root/.ssh/id_rsa
RUN echo "Host github.com\n\tStrictHostKeyChecking no\n" >> /root/.ssh/config
RUN git clone https://github.com/gsi-upm/senpy /usr/src/app/
RUN git clone git@github.com:gsi-upm/senpy-plugins-enterprise /senpy-plugins/enterprise
RUN git clone https://github.com/gsi-upm/senpy-plugins-community /senpy-plugins/community
RUN pip install /usr/src/app
RUN pip install --no-use-wheel -r /senpy-plugins/enterprise/requirements.txt
RUN python -m nltk.downloader stopwords
RUN python -m nltk.downloader punkt
RUN python -m nltk.downloader maxent_treebank_pos_tagger
RUN python -m nltk.downloader wordnet
WORKDIR /senpy-plugins
ENTRYPOINT ["python", "-m", "senpy", "-f", ".", "--host", "0.0.0.0"]

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@@ -1,22 +1,21 @@
from python:{{PYVERSION}}
MAINTAINER J. Fernando Sánchez <jf.sanchez@upm.es>
RUN mkdir /cache/
ENV PIP_CACHE_DIR=/cache/
WORKDIR /usr/src/app
ADD requirements.txt /usr/src/app/
RUN pip install --use-wheel -r requirements.txt
ADD . /usr/src/app/
RUN pip install .
RUN mkdir /cache/ /senpy-plugins /data/
VOLUME /data/
ENV PIP_CACHE_DIR=/cache/ SENPY_DATA=/data
RUN mkdir /senpy-plugins/
ONBUILD COPY . /senpy-plugins/
WORKDIR /senpy-plugins/
ONBUILD ADD . /senpy-plugins/
ONBUILD RUN python -m senpy --only-install -f /senpy-plugins
ONBUILD WORKDIR /senpy-plugins/
WORKDIR /usr/src/app
COPY test-requirements.txt requirements.txt /usr/src/app/
RUN pip install --use-wheel -r test-requirements.txt -r requirements.txt
COPY . /usr/src/app/
RUN pip install --no-deps --no-index .
ENTRYPOINT ["python", "-m", "senpy", "-f", "/senpy-plugins/", "--host", "0.0.0.0"]
ENTRYPOINT ["python", "-m", "senpy", "-f", "/senpy-plugins/", "--host", "0.0.0.0"]

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@@ -1,18 +1,17 @@
PYVERSIONS=3.5 2.7
PYVERSIONS=3.5 3.4 2.7
PYMAIN=$(firstword $(PYVERSIONS))
NAME=senpy
REPO=gsiupm
VERSION=$(shell git describe --tags --dirty 2>/dev/null)
VERSION=$(shell ./version.sh)
TARNAME=$(NAME)-$(VERSION).tar.gz
IMAGENAME=$(REPO)/$(NAME)
IMAGEWTAG=$(IMAGENAME):$(VERSION)
action="test-${PYMAIN}"
IMAGENAME=$(REPO)/$(NAME):$(VERSION)
TEST_COMMAND=gitlab-runner exec docker --cache-dir=/tmp/gitlabrunner --docker-volumes /tmp/gitlabrunner:/tmp/gitlabrunner --env CI_PROJECT_NAME=$(NAME)
all: build run
.FORCE:
FORCE:
version: .FORCE
version: FORCE
@echo $(VERSION) > $(NAME)/VERSION
@echo $(VERSION)
@@ -20,7 +19,7 @@ yapf:
yapf -i -r senpy
yapf -i -r tests
init:
dev:
pip install --user pre-commit
pre-commit install
@@ -35,27 +34,26 @@ quick_build: $(addprefix build-, $(PYMAIN))
build: $(addprefix build-, $(PYVERSIONS))
build-%: version Dockerfile-%
docker build -t '$(IMAGEWTAG)-python$*' -f Dockerfile-$* .;
build-%: Dockerfile-%
docker build -t '$(IMAGENAME)-python$*' -f Dockerfile-$* .;
quick_test: $(addprefix test-,$(PYMAIN))
dev-%:
@docker start $(NAME)-dev$* || (\
test: $(addprefix test-,$(PYVERSIONS))
debug-%:
@docker start $(NAME)-debug || (\
$(MAKE) build-$*; \
docker run -d -w /usr/src/app/ -v $$PWD:/usr/src/app --entrypoint=/bin/bash -ti --name $(NAME)-dev$* '$(IMAGEWTAG)-python$*'; \
docker run -d -w /usr/src/app/ -v $$PWD:/usr/src/app --entrypoint=/bin/bash -p 5000:5000 -ti --name $(NAME)-debug '$(IMAGENAME)-python$*'; \
docker exec -ti $(NAME)-debug pip install -r test-requirements.txt; \
)\
docker exec -ti $(NAME)-dev$* bash
docker attach $(NAME)-debug
dev: dev-$(PYMAIN)
debug: debug-$(PYMAIN)
test-all: $(addprefix test-,$(PYVERSIONS))
test-%: build-%
docker run --rm --entrypoint /usr/local/bin/python -w /usr/src/app $(IMAGEWTAG)-python$* setup.py test
test: test-$(PYMAIN)
test-%:
$(TEST_COMMAND) test-$*
dist/$(TARNAME):
docker run --rm -ti -v $$PWD:/usr/src/app/ -w /usr/src/app/ python:$(PYMAIN) python setup.py sdist;
@@ -67,10 +65,19 @@ pip_test-%: sdist
pip_test: $(addprefix pip_test-,$(PYVERSIONS))
upload-%: test-%
docker push '$(IMAGENAME)-python$*'
upload: test $(addprefix upload-,$(PYVERSIONS))
docker tag '$(IMAGENAME)-python$(PYMAIN)' '$(IMAGENAME)'
docker tag '$(IMAGENAME)-python$(PYMAIN)' '$(REPO)/$(NAME)'
docker push '$(IMAGENAME)'
docker push '$(REPO)/$(NAME)'
clean:
@docker ps -a | awk '/$(REPO)\/$(NAME)/{ split($$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
@docker rmi $(NAME)-dev 2>/dev/null || true
@docker rmi $(NAME)-debug 2>/dev/null || true
git_commit:
@@ -79,31 +86,17 @@ git_commit:
git_tag:
git tag ${VERSION}
git_push:
upload_git:
git push --tags origin master
pip_upload:
python setup.py sdist upload ;
pip_test: $(addprefix pip_test-,$(PYVERSIONS))
run-%: build-%
docker run --rm -p 5000:5000 -ti '$(IMAGEWTAG)-python$(PYMAIN)' --default-plugins
docker run --rm -p 5000:5000 -ti '$(IMAGENAME)-python$(PYMAIN)' --default-plugins
run: run-$(PYMAIN)
push-latest: build-$(PYMAIN)
docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGEWTAG)'
docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGENAME)'
docker push '$(IMAGENAME):latest'
docker push '$(IMAGEWTAG)'
push-%: build-%
docker push $(IMAGENAME):$(VERSION)-python$*
push: $(addprefix push-,$(PYVERSIONS))
docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGEWTAG)'
docker push $(IMAGENAME):$(VERSION)
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 push-main push-% dev ci version .FORCE
.PHONY: test test-% build-% build test pip_test run yapf dev

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@@ -23,7 +23,7 @@ Through PIP
.. code:: bash
pip install -U --user senpy
pip install --user senpy
Alternatively, you can use the development version:
@@ -38,56 +38,9 @@ If you want to install senpy globally, use sudo instead of the ``--user`` flag.
Docker Image
************
Build the image or use the pre-built one: ``docker run -ti -p 5000:5000 gsiupm/senpy --default-plugins``.
Build the image or use the pre-built one: ``docker run -ti -p 5000:5000 gsiupm/senpy --host 0.0.0.0 --default-plugins``.
To add custom plugins, add a volume and tell senpy where to find the plugins: ``docker run -ti -p 5000:5000 -v <PATH OF PLUGINS>:/plugins gsiupm/senpy --default-plugins -f /plugins``
Developing
----------
Developing/debugging
********************
This command will run the senpy container using the latest image available, mounting your current folder so you get your latest code:
.. code:: bash
# Python 3.5
make dev
# Python 2.7
make dev-2.7
Building a docker image
***********************
.. code:: bash
# Python 3.5
make build-3.5
# Python 2.7
make build-2.7
Testing
*******
.. code:: bash
make test
Running
*******
This command will run the senpy server listening on localhost:5000
.. code:: bash
# Python 3.5
make run-3.5
# Python 2.7
make run-2.7
To add custom plugins, add a volume and tell senpy where to find the plugins: ``docker run -ti -p 5000:5000 -v <PATH OF PLUGINS>:/plugins gsiupm/senpy --host 0.0.0.0 --default-plugins -f /plugins``
Usage
-----
@@ -96,14 +49,12 @@ However, the easiest and recommended way is to just use the command-line tool to
.. code:: bash
senpy
or, alternatively:
.. code:: bash
python -m senpy

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@@ -62,7 +62,6 @@ 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
@@ -70,7 +69,6 @@ NIF API
header of request
:statuscode 200: no error
:statuscode 404: service not found
:statuscode 400: error while processing the request
.. http:post:: /api
@@ -95,53 +93,51 @@ NIF API
{
"@context": {
...
},
"@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"
}
]
},
"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"
}
}
@@ -152,7 +148,7 @@ 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
@@ -163,7 +159,6 @@ NIF API
{
"@id": "rand_0.1",
"@type": "sentimentPlugin",
"extra_params": {
"@id": "extra_params_rand_0.1",
"language": {
@@ -190,3 +185,24 @@ 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"
}

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@@ -1,116 +0,0 @@
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

@@ -1,3 +1,8 @@
.. 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!
=================================
@@ -10,6 +15,5 @@ Contents:
api
schema
plugins
conversion
demo
:maxdepth: 2

View File

@@ -1,7 +1,5 @@
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_.
CLI
===
Video example
=============
This video shows how to use senpy through command-line tool.
@@ -58,23 +58,18 @@ https://asciinema.org/a/9uwef1ghkjk062cw2t4mhzpyk
Request example in python
=========================
This example shows how to make a request to the default plugin:
This example shows how to make a request to a plugin.
.. code:: python
from senpy.client import Client
import requests
import json
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))
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)
.. _section: http://senpy.readthedocs.org/en/latest/api.html
Conversion
==========
See :doc:`conversion`

View File

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

View File

@@ -26,13 +26,6 @@ API_PARAMS = {
"aliases": ["emotionModel", "emoModel"],
"required": False
},
"plugin_type": {
"@id": "pluginType",
"description": 'What kind of plugins to list',
"aliases": ["pluginType", "plugin_type"],
"required": True,
"default": "analysisPlugin"
},
"conversion": {
"@id": "conversion",
"description": "How to show the elements that have (not) been converted",

View File

@@ -113,20 +113,15 @@ def basic_api(f):
@api_blueprint.route('/', methods=['POST', 'GET'])
@basic_api
def api():
try:
response = current_app.senpy.analyse(**request.params)
return response
except Error as ex:
return ex
response = current_app.senpy.analyse(**request.params)
return response
@api_blueprint.route('/plugins/', methods=['POST', 'GET'])
@basic_api
def plugins():
sp = current_app.senpy
ptype = request.params.get('plugin_type')
plugins = sp.filter_plugins(plugin_type=ptype)
dic = Plugins(plugins=list(plugins.values()))
dic = Plugins(plugins=list(sp.plugins.values()))
return dic

View File

@@ -18,6 +18,7 @@ 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'
@@ -32,6 +33,3 @@ class Client(object):
code=response.status_code,
content=response.content))
raise ex
if isinstance(resp, models.Error):
raise resp
return resp

View File

@@ -5,20 +5,18 @@ It orchestrates plugin (de)activation and analysis.
from future import standard_library
standard_library.install_aliases()
from . import plugins
from .plugins import SenpyPlugin
from .models import Error, Entry, Results, from_dict
from .plugins import SentimentPlugin, SenpyPlugin
from .models import Error, Entry, Results
from .blueprints import api_blueprint, demo_blueprint, ns_blueprint
from .api import API_PARAMS, NIF_PARAMS, parse_params
from threading import Thread
import os
import copy
import fnmatch
import inspect
import sys
import importlib
import imp
import logging
import traceback
import yaml
@@ -78,101 +76,70 @@ class Senpy(object):
else:
logger.debug("Not a folder: %s", folder)
def _find_plugins(self, params):
if not self.analysis_plugins:
def _find_plugin(self, params):
api_params = parse_params(params, spec=API_PARAMS)
algo = None
if "algorithm" in api_params and api_params["algorithm"]:
algo = api_params["algorithm"]
elif self.plugins:
algo = self.default_plugin and self.default_plugin.name
if not algo:
raise Error(
status=404,
message=("No plugins found."
" Please install one."))
api_params = parse_params(params, spec=API_PARAMS)
algos = None
if "algorithm" in api_params and api_params["algorithm"]:
algos = api_params["algorithm"].split(',')
elif self.default_plugin:
algos = [self.default_plugin.name, ]
else:
" Please install one.").format(algo))
if algo not in self.plugins:
logger.debug(("The algorithm '{}' is not valid\n"
"Valid algorithms: {}").format(algo,
self.plugins.keys()))
raise Error(
status=404,
message="No default plugin found, and None provided")
message="The algorithm '{}' is not valid".format(algo))
plugins = list()
for algo in algos:
if algo not in self.plugins:
logger.debug(("The algorithm '{}' is not valid\n"
"Valid algorithms: {}").format(algo,
self.plugins.keys()))
raise Error(
status=404,
message="The algorithm '{}' is not valid".format(algo))
if not self.plugins[algo].is_activated:
logger.debug("Plugin not activated: {}".format(algo))
raise Error(
status=400,
message=("The algorithm '{}'"
" is not activated yet").format(algo))
return self.plugins[algo]
if not self.plugins[algo].is_activated:
logger.debug("Plugin not activated: {}".format(algo))
raise Error(
status=400,
message=("The algorithm '{}'"
" is not activated yet").format(algo))
plugins.append(self.plugins[algo])
return plugins
def _get_params(self, params, plugin=None):
def _get_params(self, params, plugin):
nif_params = parse_params(params, spec=NIF_PARAMS)
if plugin:
extra_params = plugin.get('extra_params', {})
specific_params = parse_params(params, spec=extra_params)
nif_params.update(specific_params)
extra_params = plugin.get('extra_params', {})
specific_params = parse_params(params, spec=extra_params)
nif_params.update(specific_params)
return nif_params
def _get_entries(self, params):
entry = None
if params['informat'] == 'text':
results = Results()
entry = Entry(text=params['input'])
results.entries.append(entry)
elif params['informat'] == 'json-ld':
results = from_dict(params['input'])
else:
raise NotImplemented('Informat {} is not implemented'.format(params['informat']))
return results
def _process_entries(self, entries, plugins, nif_params):
if not plugins:
for i in entries:
yield i
return
plugin = plugins[0]
specific_params = self._get_params(nif_params, plugin)
results = plugin.analyse_entries(entries, specific_params)
for i in self._process_entries(results, plugins[1:], nif_params):
yield i
def _process_response(self, resp, plugins, nif_params):
entries = resp.entries
resp.entries = []
for plug in plugins:
resp.analysis.append(plug.id)
for i in self._process_entries(entries, plugins, nif_params):
resp.entries.append(i)
return resp
raise NotImplemented('Only text input format implemented')
yield entry
def analyse(self, **api_params):
"""
Main method that analyses a request, either from CLI or HTTP.
It uses a dictionary of parameters, provided by the user.
"""
logger.debug("analysing with params: {}".format(api_params))
plugins = self._find_plugins(api_params)
nif_params = self._get_params(api_params)
resp = self._get_entries(nif_params)
plugin = self._find_plugin(api_params)
nif_params = self._get_params(api_params, plugin)
resp = Results()
if 'with_parameters' in api_params:
resp.parameters = nif_params
try:
resp = self._process_response(resp, plugins, nif_params)
self.convert_emotions(resp, plugins, nif_params)
entries = []
for i in self._get_entries(nif_params):
entries += list(plugin.analyse_entry(i, nif_params))
resp.entries = entries
self.convert_emotions(resp, plugin, nif_params)
resp.analysis.append(plugin.id)
logger.debug("Returning analysis result: {}".format(resp))
except (Error, Exception) as ex:
if not isinstance(ex, Error):
ex = Error(message=str(ex), status=500)
except Error as ex:
logger.exception('Error returning analysis result')
raise ex
resp = ex
except Exception as ex:
logger.exception('Error returning analysis result')
resp = Error(message=str(ex), status=500)
return resp
def _conversion_candidates(self, fromModel, toModel):
@@ -186,7 +153,7 @@ class Senpy(object):
# logging.debug('Found candidate: {}'.format(candidate))
yield candidate
def convert_emotions(self, resp, plugins, params):
def convert_emotions(self, resp, plugin, params):
"""
Conversion of all emotions in a response.
In addition to converting from one model to another, it has
@@ -194,35 +161,29 @@ class Senpy(object):
Needless to say, this is far from an elegant solution, but it works.
@todo refactor and clean up
"""
fromModel = plugin.get('onyx:usesEmotionModel', None)
toModel = params.get('emotionModel', None)
output = params.get('conversion', None)
logger.debug('Asked for model: {}'.format(toModel))
logger.debug('Analysis plugin uses model: {}'.format(fromModel))
if not toModel:
return
logger.debug('Asked for model: {}'.format(toModel))
output = params.get('conversion', None)
candidates = {}
for plugin in plugins:
try:
fromModel = plugin.get('onyx:usesEmotionModel', None)
candidates[plugin.id] = next(self._conversion_candidates(fromModel, toModel))
logger.debug('Analysis plugin {} uses model: {}'.format(plugin.id, fromModel))
except StopIteration:
e = Error(('No conversion plugin found for: '
'{} -> {}'.format(fromModel, toModel)))
e.original_response = resp
e.parameters = params
raise e
try:
candidate = next(self._conversion_candidates(fromModel, toModel))
except StopIteration:
e = Error(('No conversion plugin found for: '
'{} -> {}'.format(fromModel, toModel)))
e.original_response = resp
e.parameters = params
raise e
newentries = []
resp.analysis = set(resp.analysis)
for i in resp.entries:
if output == "full":
newemotions = copy.deepcopy(i.emotions)
newemotions = i.emotions.copy()
else:
newemotions = []
for j in i.emotions:
plugname = j['prov:wasGeneratedBy']
candidate = candidates[plugname]
resp.analysis.add(candidate.id)
for k in candidate.convert(j, fromModel, toModel, params):
k.prov__wasGeneratedBy = candidate.id
if output == 'nested':
@@ -231,6 +192,7 @@ class Senpy(object):
i.emotions = newemotions
newentries.append(i)
resp.entries = newentries
resp.analysis.append(candidate.id)
@property
def default_plugin(self):
@@ -290,7 +252,7 @@ class Senpy(object):
logger.error(msg)
raise Error(msg)
if sync or 'async' in plugin and not plugin.async:
if sync:
act()
else:
th = Thread(target=act)
@@ -314,7 +276,7 @@ class Senpy(object):
"Error deactivating plugin {}: {}".format(plugin.name, ex))
logger.error("Trace: {}".format(traceback.format_exc()))
if sync or 'async' in plugin and not plugin.async:
if sync:
deact()
else:
th = Thread(target=deact)
@@ -322,11 +284,11 @@ class Senpy(object):
@classmethod
def validate_info(cls, info):
return all(x in info for x in ('name', 'module', 'description', 'version'))
return all(x in info for x in ('name', 'module', 'version'))
def install_deps(self):
for i in self.plugins.values():
self._install_deps(i)
self._install_deps(i._info)
@classmethod
def _install_deps(cls, info=None):
@@ -340,13 +302,6 @@ 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):
@@ -354,10 +309,11 @@ 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 = cls._load_module(module, root)
tmp = imp.load_module(module, fp, pathname, desc)
sys.path.remove(root)
candidate = None
for _, obj in inspect.getmembers(tmp):
if inspect.isclass(obj) and inspect.getmodule(obj) == tmp:
@@ -404,22 +360,6 @@ class Senpy(object):
def filter_plugins(self, **kwargs):
""" Filter plugins by different criteria """
ptype = kwargs.pop('plugin_type', None)
logger.debug('#' * 100)
logger.debug('ptype {}'.format(ptype))
if ptype:
try:
ptype = ptype[0].upper() + ptype[1:]
pclass = getattr(plugins, ptype)
logger.debug('Class: {}'.format(pclass))
candidates = filter(lambda x: isinstance(x, pclass),
self.plugins.values())
except AttributeError:
raise Error('{} is not a valid type'.format(ptype))
else:
candidates = self.plugins.values()
logger.debug(candidates)
def matches(plug):
res = all(getattr(plug, k, None) == v for (k, v) in kwargs.items())
@@ -427,11 +367,15 @@ class Senpy(object):
"matching {} with {}: {}".format(plug.name, kwargs, res))
return res
if kwargs:
candidates = filter(matches, candidates)
return {p.name: p for p in candidates}
if not kwargs:
return self.plugins
else:
return {n: p for n, p in self.plugins.items() if matches(p)}
@property
def analysis_plugins(self):
""" Return only the analysis plugins """
return self.filter_plugins(plugin_type='analysisPlugin')
def sentiment_plugins(self):
""" Return only the sentiment plugins """
return {
p: plugin
for p, plugin in self.plugins.items()
if isinstance(plugin, SentimentPlugin)
}

View File

@@ -3,17 +3,16 @@ 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__)
class Plugin(models.Plugin):
class SenpyPlugin(models.Plugin):
def __init__(self, info=None):
"""
Provides a canonical name for plugins and serves as base for other
@@ -24,24 +23,12 @@ class Plugin(models.Plugin):
"information for the plugin."))
logger.debug("Initialising {}".format(info))
id = 'plugins/{}_{}'.format(info['name'], info['version'])
super(Plugin, self).__init__(id=id, **info)
super(SenpyPlugin, self).__init__(id=id, **info)
self.is_activated = False
def get_folder(self):
return os.path.dirname(inspect.getfile(self.__class__))
def activate(self):
pass
def deactivate(self):
pass
SenpyPlugin = Plugin
class AnalysisPlugin(Plugin):
def analyse(self, *args, **kwargs):
raise NotImplemented(
'Your method should implement either analyse or analyse_entry')
@@ -60,33 +47,30 @@ class AnalysisPlugin(Plugin):
for i in results.entries:
yield i
def analyse_entries(self, entries, parameters):
for entry in entries:
logger.debug('Analysing entry with plugin {}: {}'.format(self, entry))
for result in self.analyse_entry(entry, parameters):
yield result
def activate(self):
pass
def deactivate(self):
pass
class ConversionPlugin(Plugin):
pass
class SentimentPlugin(models.SentimentPlugin, AnalysisPlugin):
class SentimentPlugin(models.SentimentPlugin, SenpyPlugin):
def __init__(self, info, *args, **kwargs):
super(SentimentPlugin, self).__init__(info, *args, **kwargs)
self.minPolarityValue = float(info.get("minPolarityValue", 0))
self.maxPolarityValue = float(info.get("maxPolarityValue", 1))
class EmotionPlugin(models.EmotionPlugin, AnalysisPlugin):
class EmotionPlugin(models.EmotionPlugin, SenpyPlugin):
def __init__(self, info, *args, **kwargs):
super(EmotionPlugin, self).__init__(info, *args, **kwargs)
self.minEmotionValue = float(info.get("minEmotionValue", -1))
self.maxEmotionValue = float(info.get("maxEmotionValue", 1))
class EmotionConversionPlugin(models.EmotionConversionPlugin, ConversionPlugin):
pass
class EmotionConversionPlugin(models.EmotionConversionPlugin, SenpyPlugin):
def __init__(self, info, *args, **kwargs):
super(EmotionConversionPlugin, self).__init__(info, *args, **kwargs)
class ShelfMixin(object):
@@ -108,8 +92,8 @@ class ShelfMixin(object):
@property
def shelf_file(self):
if 'shelf_file' not in self or not self['shelf_file']:
sd = os.environ.get('SENPY_DATA', tempfile.gettempdir())
self.shelf_file = os.path.join(sd, self.name + '.p')
self.shelf_file = os.path.join(tempfile.gettempdir(),
self.name + '.p')
return self['shelf_file']
def save(self):

View File

@@ -1,80 +0,0 @@
from senpy.plugins import EmotionConversionPlugin
from senpy.models import EmotionSet, Emotion, Error
import logging
logger = logging.getLogger(__name__)
class CentroidConversion(EmotionConversionPlugin):
def __init__(self, info):
if 'centroids' not in info:
raise Error('Centroid conversion plugins should provide '
'the centroids in their senpy file')
if 'onyx:doesConversion' not in info:
if 'centroids_direction' not in info:
raise Error('Please, provide centroids direction')
cf, ct = info['centroids_direction']
info['onyx:doesConversion'] = [{
'onyx:conversionFrom': cf,
'onyx:conversionTo': ct
}, {
'onyx:conversionFrom': ct,
'onyx:conversionTo': cf
}]
if 'aliases' in info:
aliases = info['aliases']
ncentroids = {}
for k1, v1 in info['centroids'].items():
nv1 = {}
for k2, v2 in v1.items():
nv1[aliases.get(k2, k2)] = v2
ncentroids[aliases.get(k1, k1)] = nv1
info['centroids'] = ncentroids
super(CentroidConversion, self).__init__(info)
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(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 and toModel == ct:
e.onyx__hasEmotion.append(self._forward_conversion(emotionSet))
elif fromModel == ct and toModel == cf:
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

@@ -1,39 +0,0 @@
---
name: Ekman2FSRE
module: senpy.plugins.conversion.centroids
description: Plugin to convert emotion sets from Ekman to VAD
version: 0.1
# No need to specify onyx:doesConversion because centroids.py adds it automatically from centroids_direction
centroids:
anger:
A: 6.95
D: 5.1
V: 2.7
disgust:
A: 5.3
D: 8.05
V: 2.7
fear:
A: 6.5
D: 3.6
V: 3.2
happiness:
A: 7.22
D: 6.28
V: 8.6
sadness:
A: 5.21
D: 2.82
V: 2.21
centroids_direction:
- emoml:big6
- emoml:fsre-dimensions
aliases: # These are aliases for any key in the centroid, to avoid repeating a long name several times
A: emoml:arousal
V: emoml:valence
D: emoml:dominance
anger: emoml:big6anger
disgust: emoml:big6disgust
fear: emoml:big6fear
happiness: emoml:big6happiness
sadness: emoml:big6sadness

View File

@@ -0,0 +1,56 @@
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

@@ -1,39 +1,35 @@
---
name: Ekman2PAD
module: senpy.plugins.conversion.centroids
description: Plugin to convert emotion sets from Ekman to VAD
name: Ekman2VAD
module: ekman2vad
description: Plugin to convert from Ekman to VAD
version: 0.1
# No need to specify onyx:doesConversion because centroids.py adds it automatically from centroids_direction
onyx:doesConversion:
- onyx:conversionFrom: emoml:big6
onyx:conversionTo: emoml:fsre-dimensions
- onyx:conversionFrom: emoml:fsre-dimensions
onyx:conversionTo: wna:WNAModel
centroids:
anger:
emoml:big6anger:
A: 6.95
D: 5.1
V: 2.7
disgust:
emoml:big6disgust:
A: 5.3
D: 8.05
V: 2.7
fear:
emoml:big6fear:
A: 6.5
D: 3.6
V: 3.2
happiness:
emoml:big6happiness:
A: 7.22
D: 6.28
V: 8.6
sadness:
emoml:big6sadness:
A: 5.21
D: 2.82
V: 2.21
centroids_direction:
- emoml:big6
- emoml:pad
aliases: # These are aliases for any key in the centroid, to avoid repeating a long name several times
aliases:
A: emoml:arousal
V: emoml:valence
D: emoml:dominance
anger: emoml:big6anger
disgust: emoml:big6disgust
fear: emoml:big6fear
happiness: emoml:big6happiness
sadness: emoml:big6sadness
V: emoml:potency
D: emoml:dominance

View File

@@ -37,12 +37,6 @@
"@type": "@id",
"@container": "@set"
},
"plugins": {
"@container": "@list"
},
"options": {
"@container": "@set"
},
"prov:wasGeneratedBy": {
"@type": "@id"
},

View File

@@ -6,7 +6,6 @@
"properties": {
"plugins": {
"type": "array",
"default": [],
"items": {
"$ref": "plugin.json"
}

View File

@@ -8,12 +8,8 @@ DEFAULT_FILE = os.path.join(ROOT, 'VERSION')
def read_version(versionfile=DEFAULT_FILE):
try:
with open(versionfile) as f:
return f.read().strip()
except IOError:
logger.error('Running an unknown version of senpy. Be careful!.')
return '0.0'
with open(versionfile) as f:
return f.read().strip()
__version__ = read_version()

View File

@@ -9,6 +9,4 @@ test=pytest
ignore = E402
max-line-length = 100
[bdist_wheel]
universal=1
[tool:pytest]
addopts = --cov=senpy --cov-report term-missing
universal=1

View File

@@ -1,3 +1,3 @@
pytest
mock
pytest-cov
pytest

View File

@@ -4,5 +4,4 @@ from senpy.plugins import SentimentPlugin
class DummyPlugin(SentimentPlugin):
def analyse_entry(self, entry, params):
entry.text = entry.text[::-1]
entry.reversed = entry.get('reversed', 0) + 1
yield entry

View File

@@ -1,8 +1,8 @@
from senpy.plugins import AnalysisPlugin
from senpy.plugins import SenpyPlugin
from time import sleep
class SleepPlugin(AnalysisPlugin):
class SleepPlugin(SenpyPlugin):
def activate(self, *args, **kwargs):
sleep(self.timeout)

View File

@@ -1,68 +0,0 @@
import logging
logger = logging.getLogger(__name__)
from unittest import TestCase
from senpy.api import parse_params, API_PARAMS, NIF_PARAMS, WEB_PARAMS
from senpy.models import Error
class APITest(TestCase):
def test_api_params(self):
"""The API should not define any required parameters without a default"""
parse_params({}, spec=API_PARAMS)
def test_web_params(self):
"""The WEB should not define any required parameters without a default"""
parse_params({}, spec=WEB_PARAMS)
def test_basic(self):
a = {}
try:
parse_params(a, spec=NIF_PARAMS)
raise AssertionError()
except Error:
pass
a = {'input': 'hello'}
p = parse_params(a, spec=NIF_PARAMS)
assert 'input' in p
b = {'i': 'hello'}
p = parse_params(b, spec=NIF_PARAMS)
assert 'input' in p
def test_plugin(self):
query = {}
plug_params = {
'hello': {
'aliases': ['hello', 'hiya'],
'required': True
}
}
try:
parse_params(query, spec=plug_params)
raise AssertionError()
except Error:
pass
query['hello'] = 'world'
p = parse_params(query, spec=plug_params)
assert 'hello' in p
assert p['hello'] == 'world'
del query['hello']
query['hiya'] = 'dlrow'
p = parse_params(query, spec=plug_params)
assert 'hello' in p
assert 'hiya' in p
assert p['hello'] == 'dlrow'
def test_default(self):
spec = {
'hello': {
'required': True,
'default': 1
}
}
p = parse_params({}, spec=spec)
assert 'hello' in p
assert p['hello'] == 1

View File

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

View File

@@ -1,6 +1,5 @@
from __future__ import print_function
import os
from copy import deepcopy
import logging
try:
@@ -10,7 +9,7 @@ except ImportError:
from functools import partial
from senpy.extensions import Senpy
from senpy.models import Error, Results, Entry, EmotionSet, Emotion, Plugin
from senpy.models import Error
from flask import Flask
from unittest import TestCase
@@ -43,7 +42,6 @@ class ExtensionsTest(TestCase):
info = {
'name': 'TestPip',
'module': 'dummy',
'description': None,
'requirements': ['noop'],
'version': 0
}
@@ -53,7 +51,6 @@ class ExtensionsTest(TestCase):
assert module
import noop
dir(noop)
self.senpy.install_deps()
def test_installing(self):
""" Enabling a plugin """
@@ -98,26 +95,17 @@ class ExtensionsTest(TestCase):
def test_analyse_error(self):
mm = mock.MagicMock()
mm.id = 'magic_mock'
mm.analyse_entries.side_effect = Error('error on analysis', status=500)
mm.analyse_entry.side_effect = Error('error on analysis', status=900)
self.senpy.plugins['MOCK'] = mm
try:
self.senpy.analyse(input='nothing', algorithm='MOCK')
assert False
except Error as ex:
assert ex['message'] == 'error on analysis'
assert ex['status'] == 500
resp = self.senpy.analyse(input='nothing', algorithm='MOCK')
assert resp['message'] == 'error on analysis'
assert resp['status'] == 900
mm.analyse.side_effect = Exception('generic exception on analysis')
mm.analyse_entries.side_effect = Exception(
mm.analyse_entry.side_effect = Exception(
'generic exception on analysis')
try:
self.senpy.analyse(input='nothing', algorithm='MOCK')
assert False
except Error as ex:
assert ex['message'] == 'generic exception on analysis'
assert ex['status'] == 500
resp = self.senpy.analyse(input='nothing', algorithm='MOCK')
assert resp['message'] == 'generic exception on analysis'
assert resp['status'] == 500
def test_filtering(self):
""" Filtering plugins """
@@ -131,43 +119,3 @@ 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 = Plugin({
'id': 'imaginary',
'onyx:usesEmotionModel': 'emoml:fsre-dimensions'
})
eSet1 = EmotionSet()
eSet1.prov__wasGeneratedBy = plugin['id']
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

@@ -11,10 +11,8 @@ from senpy.models import (Emotion,
Entry,
Error,
Results,
Sentiment,
Plugins,
Plugin)
from senpy import plugins
Sentiment)
from senpy.plugins import SenpyPlugin
from pprint import pprint
@@ -55,8 +53,8 @@ class ModelsTest(TestCase):
assert (received["entries"][0]["nif:isString"] != "Not testing")
def test_id(self):
""" Adding the id after creation should overwrite the automatic ID
"""
''' Adding the id after creation should overwrite the automatic ID
'''
r = Entry()
j = r.jsonld()
assert '@id' in j
@@ -96,16 +94,8 @@ class ModelsTest(TestCase):
r.validate()
def test_plugins(self):
self.assertRaises(Error, plugins.Plugin)
p = plugins.Plugin({"name": "dummy",
"version": 0,
"extra_params": {
"none": {
"options": ["es", ],
"required": False,
"default": "0"
}
}})
self.assertRaises(Error, SenpyPlugin)
p = SenpyPlugin({"name": "dummy", "version": 0})
c = p.jsonld()
assert "info" not in c
assert "repo" not in c
@@ -113,13 +103,11 @@ class ModelsTest(TestCase):
logging.debug("Framed:")
logging.debug(c)
p.validate()
assert "es" in c['extra_params']['none']['options']
assert isinstance(c['extra_params']['none']['options'], list)
def test_str(self):
"""The string representation shouldn't include private variables"""
r = Results()
p = plugins.Plugin({"name": "STR test", "version": 0})
p = SenpyPlugin({"name": "STR test", "version": 0})
p._testing = 0
s = str(p)
assert "_testing" not in s
@@ -156,14 +144,6 @@ class ModelsTest(TestCase):
g = rdflib.Graph().parse(data=t, format='turtle')
assert len(g) == len(triples)
def test_single_plugin(self):
"""A response with a single plugin should still return a list"""
plugs = Plugins()
for i in range(10):
p = Plugin({'id': str(i),
'version': 0,
'description': 'dummy'})
plugs.plugins.append(p)
assert isinstance(plugs.plugins, list)
js = plugs.jsonld()
assert isinstance(js['plugins'], list)
def test_convert_emotions(self):
"""It should be possible to convert between different emotion models"""
pass

2
version.sh Executable file
View File

@@ -0,0 +1,2 @@
#!/bin/sh
git describe --long --tags --dirty