Change name to split, according to issue #37

.gitlab-ci.yml

@@ -12,14 +12,12 @@ stages:
   - clean
 
 before_script:
-  - make -e login
+  - docker login -u $HUB_USER -p $HUB_PASSWORD
 
 .test: &test_definition
   stage: test
   script:
     - make -e test-$PYTHON_VERSION
-  except:
-    - tags # Avoid unnecessary double testing
     
 test-3.5:
   <<: *test_definition
@@ -38,7 +36,6 @@ test-2.7:
   only:
     - tags
     - triggers
-    - fix-makefiles
 
 push-3.5:
   <<: *image_definition
@@ -57,7 +54,6 @@ push-latest:
   only:
     - master
     - triggers
-    - fix-makefiles
 
 push-github:
   stage: deploy
@@ -66,13 +62,11 @@ push-github:
   only:
     - master
     - triggers
-    - fix-makefiles
 
 deploy_pypi:
   stage: deploy
   script:   # Configure the PyPI credentials, then push the package, and cleanup the creds.
     - echo "[server-login]" >> ~/.pypirc
-    - echo "repository=https://upload.pypi.org/legacy/" >> ~/.pypirc
     - echo "username=" ${PYPI_USER} >> ~/.pypirc
     - echo "password=" ${PYPI_PASSWORD} >> ~/.pypirc
     - make pip_upload
@@ -89,7 +83,6 @@ deploy:
     - make -e deploy
   only:
     - master
-    - fix-makefiles
 
 push-github:
   stage: deploy

.makefiles/README.md

@@ -1,27 +0,0 @@
-These makefiles are recipes for several common tasks in different types of projects.
-To add them to your project, simply do:
-
-```
-git remote add makefiles ssh://git@lab.cluster.gsi.dit.upm.es:2200/docs/templates/makefiles.git
-git subtree add --prefix=.makefiles/ makefiles master
-touch Makefile
-echo "include .makefiles/base.mk" >> Makefile
-```
-
-Now you can take advantage of the recipes.
-For instance, to add useful targets for a python project, just add this to your Makefile:
-
-```
-include .makefiles/python.mk
-```
-
-You may need to set special variables like the name of your project or the python versions you're targetting.
-Take a look at each specific `.mk` file for more information, and the `Makefile` in the [senpy](https://lab.cluster.gsi.dit.upm.es/senpy/senpy) project for a real use case.
-
-If you update the makefiles from your repository, make sure to push the changes for review in upstream (this repository):
-
-```
-make makefiles-push
-```
-
-It will automatically commit all unstaged changes in the .makefiles folder.

.makefiles/base.mk

@@ -1,36 +0,0 @@
-export
-NAME ?= $(shell basename $(CURDIR))
-VERSION ?= $(shell git describe --tags --dirty 2>/dev/null)
-
-ifeq ($(VERSION),)
-	VERSION:=unknown
-endif
-
-# Get the location of this makefile.
-MK_DIR := $(dir $(abspath $(lastword $(MAKEFILE_LIST))))
-
--include .env
--include ../.env
-
-help:           ## Show this help.
-	@fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/\(.*:\)[^#]*##\s*\(.*\)/\1\t\2/' | column -t -s "	"
-
-config:  ## Load config from the environment. You should run it once in every session before other tasks. Run: eval $(make config)
-	@awk '{ print "export " $$0}' ../.env
-	@awk '{ print "export " $$0}' .env
-	@echo "# Please, run: "
-	@echo "# eval \$$(make config)"
-# If you need to run a command on the key/value pairs, use this:
-# @awk '{ split($$0, a, "="); "echo " a[2] " | base64 -w 0" |& getline b64; print "export " a[1] "=" a[2]; print "export " a[1] "_BASE64=" b64}' .env
-
-ci:  ## Run a task using gitlab-runner. Only use to debug problems in the CI pipeline
-	gitlab-runner exec shell --builds-dir '.builds' --env CI_PROJECT_NAME=$(NAME) ${action}
-
-include $(MK_DIR)/makefiles.mk
-include $(MK_DIR)/docker.mk
-include $(MK_DIR)/git.mk
-
-info:: ## List all variables
-	env
-
-.PHONY:: config help ci

.makefiles/docker.mk

@@ -1,51 +0,0 @@
-ifndef IMAGENAME
-	ifdef CI_REGISTRY_IMAGE
-		IMAGENAME=$(CI_REGISTRY_IMAGE)
-	else
-		IMAGENAME=$(NAME)
-	endif
-endif
-
-IMAGEWTAG?=$(IMAGENAME):$(VERSION)
-DOCKER_FLAGS?=$(-ti)
-DOCKER_CMD?=
-
-docker-login: ## Log in to the registry. It will only be used in the server, or when running a CI task locally (if CI_BUILD_TOKEN is set).
-ifeq ($(CI_BUILD_TOKEN),)
-	@echo "Not logging in to the docker registry" "$(CI_REGISTRY)"
-else
-	@docker login -u gitlab-ci-token -p $(CI_BUILD_TOKEN) $(CI_REGISTRY)
-endif
-ifeq ($(HUB_USER),)
-	@echo "Not logging in to global the docker registry"
-else
-	@docker login -u $(HUB_USER) -p $(HUB_PASSWORD)
-endif
-
-docker-clean: ## Remove docker credentials
-ifeq ($(HUB_USER),)
-else
-	@docker logout
-endif
-
-docker-run: ## Build a generic docker image
-	docker run $(DOCKER_FLAGS) $(IMAGEWTAG) $(DOCKER_CMD)
-
-docker-build: ## Build a generic docker image
-	docker build . -t $(IMAGEWTAG)
-
-docker-push: docker-login ## Push a generic docker image
-	docker push $(IMAGEWTAG)
-
-docker-latest-push: docker-login ## Push the latest image
-	docker tag $(IMAGEWTAG) $(IMAGENAME)
-	docker push $(IMAGENAME)
-
-login:: docker-login
-
-clean:: docker-clean
-
-docker-info:
-	@echo IMAGEWTAG=${IMAGEWTAG}
-
-.PHONY:: docker-login docker-clean login clean

.makefiles/git.mk

@@ -1,28 +0,0 @@
-commit:
-	git commit -a
-
-tag:
-	git tag ${VERSION}
-
-git-push::
-	git push --tags -u origin HEAD
-
-git-pull:
-	git pull --all
-
-push-github: ## Push the code to github. You need to set up GITHUB_DEPLOY_KEY
-ifeq ($(GITHUB_DEPLOY_KEY),)
-else
-	$(eval KEY_FILE := "$(shell mktemp)")
-	@printf '%b' '$(GITHUB_DEPLOY_KEY)' > $(KEY_FILE)
-	@git remote rm github-deploy || true
-	git remote add github-deploy $(GITHUB_REPO)
-	-@GIT_SSH_COMMAND="ssh -i $(KEY_FILE)" git fetch github-deploy $(CI_COMMIT_REF_NAME)
-	@GIT_SSH_COMMAND="ssh -i $(KEY_FILE)" git push github-deploy HEAD:$(CI_COMMIT_REF_NAME)
-	rm $(KEY_FILE)
-endif
-
-push:: git-push
-pull:: git-pull
-
-.PHONY:: commit tag push git-push git-pull push-github 

.makefiles/k8s.mk

@@ -1,51 +0,0 @@
-# Deployment with Kubernetes
-
-# KUBE_CA_PEM_FILE is the path of a certificate file. It automatically set by GitLab
-# if you enable Kubernetes integration in a project.
-#
-# As of this writing, Kubernetes integration can not be set on a group level, so it has to
-# be manually set in every project.
-# Alternatively, we use a custom KUBE_CA_BUNDLE environment variable, which can be set at
-# the group level. In this case, the variable contains the whole content of the certificate,
-# which we dump to a temporary file
-#
-# Check if the KUBE_CA_PEM_FILE exists. Otherwise, create it from KUBE_CA_BUNDLE
-KUBE_CA_TEMP=false
-ifndef KUBE_CA_PEM_FILE
-KUBE_CA_PEM_FILE:=$$PWD/.ca.crt
-CREATED:=$(shell printf '%b\n' '$(KUBE_CA_BUNDLE)' > $(KUBE_CA_PEM_FILE))
-endif 
-KUBE_TOKEN?=""
-KUBE_NAMESPACE?=$(NAME)
-KUBECTL=docker run --rm -v $(KUBE_CA_PEM_FILE):/tmp/ca.pem -i lachlanevenson/k8s-kubectl --server="$(KUBE_URL)" --token="$(KUBE_TOKEN)" --certificate-authority="/tmp/ca.pem" -n $(KUBE_NAMESPACE)
-CI_COMMIT_REF_NAME?=master
-
-info:: ## Print variables. Useful for debugging.
-	@echo "#KUBERNETES"
-	@echo KUBE_URL=$(KUBE_URL)
-	@echo KUBE_CA_PEM_FILE=$(KUBE_CA_PEM_FILE)
-	@echo KUBE_CA_BUNDLE=$$KUBE_CA_BUNDLE
-	@echo KUBE_TOKEN=$(KUBE_TOKEN)
-	@echo KUBE_NAMESPACE=$(KUBE_NAMESPACE)
-	@echo KUBECTL=$(KUBECTL)
-
-	@echo "#CI"
-	@echo CI_PROJECT_NAME=$(CI_PROJECT_NAME)
-	@echo CI_REGISTRY=$(CI_REGISTRY)
-	@echo CI_REGISTRY_USER=$(CI_REGISTRY_USER)
-	@echo CI_COMMIT_REF_NAME=$(CI_COMMIT_REF_NAME)
-	@echo "CREATED=$(CREATED)"
-
-#
-# Deployment and advanced features
-# 
-
-
-deploy: ## Deploy to kubernetes using the credentials in KUBE_CA_PEM_FILE (or KUBE_CA_BUNDLE ) and TOKEN
-	@ls k8s/*.yaml k8s/*.yml k8s/*.tmpl 2>/dev/null || true
-	@cat k8s/*.yaml k8s/*.yml k8s/*.tmpl 2>/dev/null | envsubst | $(KUBECTL) apply -f -
-
-deploy-check: ## Get the deployed configuration.
-	@$(KUBECTL) get deploy,pods,svc,ingress
-
-.PHONY:: info deploy deploy-check

.makefiles/makefiles.mk

@@ -1,17 +0,0 @@
-makefiles-remote:
-	@git remote add makefiles ssh://git@lab.cluster.gsi.dit.upm.es:2200/docs/templates/makefiles.git 2>/dev/null || true
-
-makefiles-commit: makefiles-remote
-	git add -f .makefiles
-	git commit -em "Updated makefiles from ${NAME}"
-
-makefiles-push:
-	git subtree push --prefix=.makefiles/ makefiles $(NAME)
-
-makefiles-pull: makefiles-remote
-	git subtree pull --prefix=.makefiles/ makefiles master --squash
-
-pull:: makefiles-pull
-push:: makefiles-push
-
-.PHONY:: makefiles-remote makefiles-commit makefiles-push makefiles-pull pull push

.makefiles/precommit.mk

@@ -1,5 +0,0 @@
-init: ## Init pre-commit hooks (i.e. enforcing format checking before allowing a commit)
-	pip install --user pre-commit
-	pre-commit install
-
-.PHONY:: init

.makefiles/python.mk

@@ -1,101 +0,0 @@
-PYVERSIONS ?= 3.5
-PYMAIN ?= $(firstword $(PYVERSIONS))
-TARNAME ?= $(NAME)-$(VERSION).tar.gz 
-VERSIONFILE ?= $(NAME)/VERSION
-
-DEVPORT ?= 6000
-
-
-.FORCE:
-
-version: .FORCE
-	@echo $(VERSION) > $(VERSIONFILE)
-	@echo $(VERSION)
-
-yapf: ## Format python code
-	yapf -i -r $(NAME)
-	yapf -i -r tests
-
-dockerfiles: $(addprefix Dockerfile-,$(PYVERSIONS)) ## Generate dockerfiles for each python version
-	@unlink Dockerfile >/dev/null
-	ln -s Dockerfile-$(PYMAIN) Dockerfile
-
-Dockerfile-%: Dockerfile.template  ## Generate a specific dockerfile (e.g. Dockerfile-2.7)
-	sed "s/{{PYVERSION}}/$*/" Dockerfile.template > Dockerfile-$*
-
-quick_build: $(addprefix build-, $(PYMAIN))
-
-build: $(addprefix build-, $(PYVERSIONS)) ## Build all images / python versions
-	docker tag $(IMAGEWTAG)-python$(PYMAIN) $(IMAGEWTAG)
-
-build-%: version Dockerfile-%  ## Build a specific version (e.g. build-2.7)
-	docker build -t '$(IMAGEWTAG)-python$*' -f Dockerfile-$* .;
-
-dev-%: ## Launch a specific development environment using docker (e.g. dev-2.7)
-	@docker start $(NAME)-dev$* || (\
-		$(MAKE) build-$*; \
-		docker run -d -w /usr/src/app/ -p $(DEVPORT):5000 -v $$PWD:/usr/src/app --entrypoint=/bin/bash -ti --name $(NAME)-dev$* '$(IMAGEWTAG)-python$*'; \
-	)\
-
-	docker exec -ti $(NAME)-dev$* bash
-
-dev: dev-$(PYMAIN) ## Launch a development environment using docker, using the default python version
-
-quick_test: test-$(PYMAIN)
-
-test-%: build-% ## Run setup.py from in an isolated container, built from the base image. (e.g. test-2.7)
-# This speeds tests up because the image has most (if not all) of the dependencies already.
-	docker rm $(NAME)-test-$* || true
-	docker create -ti --name $(NAME)-test-$* --entrypoint="" -w /usr/src/app/ $(IMAGEWTAG)-python$* python setup.py test
-	docker cp . $(NAME)-test-$*:/usr/src/app
-	docker start -a $(NAME)-test-$*
-
-test: $(addprefix test-,$(PYVERSIONS)) ## Run the tests with the main python version
-
-run-%: build-%
-	docker run --rm -p $(DEVPORT):5000 -ti '$(IMAGEWTAG)-python$(PYMAIN)' --default-plugins
-
-run: run-$(PYMAIN)
-
-# Pypy - Upload a package
-
-dist/$(TARNAME): version
-	python setup.py sdist;
-
-sdist: dist/$(TARNAME) ## Generate the distribution file (wheel)
-
-pip_test-%: sdist ## Test the distribution file using pip install and a specific python version (e.g. pip_test-2.7)
-	docker run --rm -v $$PWD/dist:/dist/ python:$* pip install /dist/$(TARNAME);
-
-pip_test: $(addprefix pip_test-,$(PYVERSIONS)) ## Test pip installation with the main python version
-
-pip_upload: pip_test  ## Upload package to pip
-	python setup.py sdist upload ;
-
-# Pushing to docker
-
-push-latest: $(addprefix push-latest-,$(PYVERSIONS)) ## Push the "latest" tag to dockerhub
-	docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGEWTAG)'
-	docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGENAME):latest'
-	docker push '$(IMAGENAME):latest'
-	docker push '$(IMAGEWTAG)'
-
-push-latest-%: build-%  ## Push the latest image for a specific python version
-	docker tag $(IMAGENAME):$(VERSION)-python$* $(IMAGENAME):python$*
-	docker push $(IMAGENAME):$(VERSION)-python$*
-	docker push $(IMAGENAME):python$*
-
-push-%: build-%  ## Push the image of the current version (tagged). e.g. push-2.7
-	docker push $(IMAGENAME):$(VERSION)-python$*
-
-push:: $(addprefix push-,$(PYVERSIONS)) ## Push an image with the current version for every python version
-	docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGEWTAG)'
-	docker push  $(IMAGENAME):$(VERSION)
-
-clean:: ## Clean older docker images and containers related to this project and dev environments
-	@docker stop $(addprefix $(NAME)-dev,$(PYVERSIONS)) 2>/dev/null || true
-	@docker rm $(addprefix $(NAME)-dev,$(PYVERSIONS)) 2>/dev/null || true
-	@docker ps -a | grep $(IMAGENAME) | awk '{ split($$2, vers, "-"); if(vers[0] != "${VERSION}"){ print $$1;}}' | xargs docker rm -v 2>/dev/null|| true
-	@docker images | grep $(IMAGENAME) | awk '{ split($$2, vers, "-"); if(vers[0] != "${VERSION}"){ print $$1":"$$2;}}' | xargs docker rmi 2>/dev/null|| true
-
-.PHONY:: yapf dockerfiles Dockerfile-% quick_build build build-% dev-% quick-dev test quick_test push-latest push-latest-% push-% push version .FORCE

Dockerfile.template

@@ -2,10 +2,6 @@ from python:{{PYVERSION}}
 
 MAINTAINER J. Fernando Sánchez <jf.sanchez@upm.es>
 
-RUN apt-get update && apt-get install -y \
-libblas-dev liblapack-dev liblapacke-dev gfortran \
- && rm -rf /var/lib/apt/lists/*
-
 RUN mkdir /cache/ /senpy-plugins /data/
 
 VOLUME /data/
@@ -18,9 +14,9 @@ ONBUILD WORKDIR /senpy-plugins/
 
 
 WORKDIR /usr/src/app
-COPY test-requirements.txt requirements.txt extra-requirements.txt /usr/src/app/
-RUN pip install --no-cache-dir -r test-requirements.txt -r requirements.txt -r extra-requirements.txt
+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-cache-dir --no-index --no-deps --editable .
+RUN pip install --no-index --no-deps --editable .
 
 ENTRYPOINT ["python", "-m", "senpy", "-f", "/senpy-plugins/", "--host", "0.0.0.0"]

MANIFEST.in

@@ -1,6 +1,5 @@
 include requirements.txt
 include test-requirements.txt
-include extra-requirements.txt
 include README.rst
 include senpy/VERSION
 graft senpy/plugins

Makefile

@@ -1,17 +1,147 @@
 NAME=senpy
+VERSION=$(shell git describe --tags --dirty 2>/dev/null)
 GITHUB_REPO=git@github.com:gsi-upm/senpy.git
 
 IMAGENAME=gsiupm/senpy
+IMAGEWTAG=$(IMAGENAME):$(VERSION)
 
-# The first version is the main one (used for quick builds)
-# See .makefiles/python.mk for more info
 PYVERSIONS=3.5 2.7
+PYMAIN=$(firstword $(PYVERSIONS))
 
 DEVPORT=5000
 
+TARNAME=$(NAME)-$(VERSION).tar.gz 
 action="test-${PYMAIN}"
 GITHUB_REPO=git@github.com:gsi-upm/senpy.git
 
-include .makefiles/base.mk
-include .makefiles/k8s.mk
-include .makefiles/python.mk
+KUBE_CA_PEM_FILE=""
+KUBE_URL=""
+KUBE_TOKEN=""
+KUBE_NAMESPACE=$(NAME)
+KUBECTL=docker run --rm -v $(KUBE_CA_PEM_FILE):/tmp/ca.pem -v $$PWD:/tmp/cwd/ -i lachlanevenson/k8s-kubectl --server="$(KUBE_URL)" --token="$(KUBE_TOKEN)" --certificate-authority="/tmp/ca.pem" -n $(KUBE_NAMESPACE)
+CI_REGISTRY=docker.io
+CI_REGISTRY_USER=gitlab
+CI_BUILD_TOKEN=""
+CI_COMMIT_REF_NAME=master
+
+
+
+all: build run
+
+.FORCE:
+
+version: .FORCE
+	@echo $(VERSION) > $(NAME)/VERSION
+	@echo $(VERSION)
+
+yapf:
+	yapf -i -r $(NAME)
+	yapf -i -r tests
+
+init:
+	pip install --user pre-commit
+	pre-commit install
+
+dockerfiles: $(addprefix Dockerfile-,$(PYVERSIONS))
+	@unlink Dockerfile >/dev/null
+	ln -s Dockerfile-$(PYMAIN) Dockerfile
+
+Dockerfile-%: Dockerfile.template
+	sed "s/{{PYVERSION}}/$*/" Dockerfile.template > Dockerfile-$*
+
+quick_build: $(addprefix build-, $(PYMAIN))
+
+build: $(addprefix build-, $(PYVERSIONS))
+
+build-%: version Dockerfile-%
+	docker build -t '$(IMAGEWTAG)-python$*' --cache-from $(IMAGENAME):python$* -f Dockerfile-$* .;
+
+quick_test: $(addprefix test-,$(PYMAIN))
+
+dev-%:
+	@docker start $(NAME)-dev$* || (\
+		$(MAKE) build-$*; \
+		docker run -d -w /usr/src/app/ -p $(DEVPORT):5000 -v $$PWD:/usr/src/app --entrypoint=/bin/bash -ti --name $(NAME)-dev$* '$(IMAGEWTAG)-python$*'; \
+	)\
+
+	docker exec -ti $(NAME)-dev$* bash
+
+dev: dev-$(PYMAIN)
+
+test-all: $(addprefix test-,$(PYVERSIONS))
+
+test-%:
+	docker run --rm --entrypoint /usr/local/bin/python -w /usr/src/app $(IMAGENAME):python$*  setup.py test
+
+test: test-$(PYMAIN)
+
+dist/$(TARNAME): version
+	python setup.py sdist;
+
+sdist: dist/$(TARNAME)
+
+pip_test-%: sdist
+	docker run --rm -v $$PWD/dist:/dist/ python:$* pip install /dist/$(TARNAME);
+
+pip_test: $(addprefix pip_test-,$(PYVERSIONS))
+
+pip_upload: pip_test 
+	python setup.py sdist upload ;
+
+clean:
+	@docker ps -a | grep $(IMAGENAME) | awk '{ split($$2, vers, "-"); if(vers[0] != "${VERSION}"){ print $$1;}}' | xargs docker rm -v 2>/dev/null|| true
+	@docker images | grep $(IMAGENAME) | awk '{ split($$2, vers, "-"); if(vers[0] != "${VERSION}"){ print $$1":"$$2;}}' | xargs docker rmi 2>/dev/null|| true
+	@docker stop $(addprefix $(NAME)-dev,$(PYVERSIONS)) 2>/dev/null || true
+	@docker rm $(addprefix $(NAME)-dev,$(PYVERSIONS)) 2>/dev/null || true
+
+git_commit:
+	git commit -a
+
+git_tag:
+	git tag ${VERSION}
+
+git_push:
+	git push --tags origin master
+
+run-%: build-%
+	docker run --rm -p $(DEVPORT):5000 -ti '$(IMAGEWTAG)-python$(PYMAIN)' --default-plugins
+
+run: run-$(PYMAIN)
+
+push-latest: $(addprefix push-latest-,$(PYVERSIONS))
+	docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGEWTAG)'
+	docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGENAME)'
+	docker push '$(IMAGENAME):latest'
+	docker push '$(IMAGEWTAG)'
+
+push-latest-%: build-%
+	docker tag $(IMAGENAME):$(VERSION)-python$* $(IMAGENAME):python$*
+	docker push $(IMAGENAME):$(VERSION)-python$*
+	docker push $(IMAGENAME):python$*
+
+push-%: build-%
+	docker push $(IMAGENAME):$(VERSION)-python$*
+
+push: $(addprefix push-,$(PYVERSIONS))
+	docker tag '$(IMAGEWTAG)-python$(PYMAIN)' '$(IMAGEWTAG)'
+	docker push  $(IMAGENAME):$(VERSION)
+
+push-github:
+	$(eval KEY_FILE := $(shell mktemp))
+	@echo "$$GITHUB_DEPLOY_KEY" > $(KEY_FILE)
+	@git remote rm github-deploy || true
+	git remote add github-deploy $(GITHUB_REPO)
+	@GIT_SSH_COMMAND="ssh -i $(KEY_FILE)" git fetch github-deploy $(CI_COMMIT_REF_NAME) || true
+	@GIT_SSH_COMMAND="ssh -i $(KEY_FILE)" git push github-deploy $(CI_COMMIT_REF_NAME)
+	rm $(KEY_FILE)
+
+ci:
+	gitlab-runner exec docker --docker-volumes /var/run/docker.sock:/var/run/docker.sock --env CI_PROJECT_NAME=$(NAME) ${action}
+
+deploy:
+	@$(KUBECTL) delete secret $(CI_REGISTRY) || true
+	@$(KUBECTL) create secret docker-registry $(CI_REGISTRY) --docker-server=$(CI_REGISTRY) --docker-username=$(CI_REGISTRY_USER) --docker-email=$(CI_REGISTRY_USER) --docker-password=$(CI_BUILD_TOKEN)
+	@$(KUBECTL) apply -f /tmp/cwd/k8s/
+
+
+.PHONY: test test-% test-all build-% build test pip_test run yapf push-main push-% dev ci version .FORCE deploy

README.rst

@@ -1,5 +1,5 @@
 .. image:: img/header.png
-   :width: 100%
+   :height: 6em
    :target: http://demos.gsi.dit.upm.es/senpy
 
 .. image:: https://travis-ci.org/gsi-upm/senpy.svg?branch=master

docker-compose.dev.yml

@@ -1,10 +0,0 @@
-version: '3'
-services:
-    senpy:
-        image: "${IMAGENAME-gsiupm/senpy}:${VERSION-latest}"
-        entrypoint: ["/bin/bash"]
-        working_dir: "/senpy-plugins"
-        ports:
-            - 5000:5000
-        volumes:
-            - ".:/usr/src/app/"

docker-compose.test.yml

@@ -1,9 +0,0 @@
-version: '3'
-services:
-    test:
-        image: "${IMAGENAME-gsiupm/senpy}:${VERSION-dev}"
-        entrypoint: ["py.test"]
-        volumes:
-            - ".:/usr/src/app/"
-        command:
-          []

docker-compose.yml

@@ -1,11 +0,0 @@
-version: '3'
-services:
-    senpy:
-        image: "${IMAGENAME-gsiupm/senpy}:${VERSION-dev}"
-        build:
-          context: .
-          dockerfile: Dockerfile${PYVERSION--2.7}
-        ports:
-            - 5001:5000
-        volumes:
-            - "./data:/data"

docs/SenpyClientUse.rst

@@ -1,106 +0,0 @@
-
-Client
-======
-
-Demo Endpoint
--------------
-
-Import Client and send a request
-
-.. code:: python
-
-    from senpy.client import Client
-    
-    c = Client('http://latest.senpy.cluster.gsi.dit.upm.es/api')
-    r = c.analyse('I like Pizza', algorithm='sentiment140')
-
-Print response
-
-.. code:: python
-
-    for entry in r.entries:
-          print('{} -> {}'.format(entry['text'], entry['sentiments'][0]['marl:hasPolarity']))
-
-
-.. parsed-literal::
-
-    I like Pizza -> marl:Positive
-
-
-Obtain a list of available plugins
-
-.. code:: python
-
-    for plugin in c.request('/plugins')['plugins']:
-        print(plugin['name'])
-
-
-.. parsed-literal::
-
-    emoRand
-    rand
-    sentiment140
-
-
-Local Endpoint
---------------
-
-Run a docker container with Senpy image and default plugins
-
-.. code::
-
-    docker run -ti --name 'SenpyEndpoint' -d -p 5000:5000 gsiupm/senpy:0.8.6 --host 0.0.0.0 --default-plugins
-
-
-.. parsed-literal::
-
-    a0157cd98057072388bfebeed78a830da7cf0a796f4f1a3fd9188f9f2e5fe562
-
-
-Import client and send a request to localhost
-
-.. code:: python
-
-    c_local = Client('http://127.0.0.1:5000/api')
-    r = c_local.analyse('Hello world', algorithm='sentiment140')
-
-Print response
-
-.. code:: python
-
-    for entry in r.entries:
-          print('{} -> {}'.format(entry['text'], entry['sentiments'][0]['marl:hasPolarity']))
-
-
-.. parsed-literal::
-
-    Hello world -> marl:Neutral
-
-
-Obtain a list of available plugins deployed locally
-
-.. code:: python
-
-    c_local.plugins().keys()
-
-
-.. parsed-literal::
-
-    rand
-    sentiment140
-    emoRand
-
-
-Stop the docker container
-
-.. code:: python
-
-    !docker stop SenpyEndpoint
-    !docker rm SenpyEndpoint
-
-
-.. parsed-literal::
-
-    SenpyEndpoint
-    SenpyEndpoint
-

docs/bad-examples/plugins/noplugins.json

@@ -1,4 +1,4 @@
 {
-  "@type": "plugins",
-  "plugins": {}
+  "plugins": [
+    ]
 }

docs/bad-examples/results/example-analysis-as-id-FAIL.json

@@ -8,7 +8,8 @@
     "me:EmotionAnalysis1",
     "me:NER1",
     {
-      "description": "missing @id and @type"
+      "@type": "analysis",
+      "@id": "wrong"
     }
   ],
   "entries": [

docs/examples/results/example-analysis-mixed-ids.json

@@ -1,78 +0,0 @@
-{
-  "@context": "http://mixedemotions-project.eu/ns/context.jsonld",
-  "@id": "me:Result1",
-  "@type": "results",
-  "analysis": [
-    "me:SAnalysis1",
-    "me:SgAnalysis1",
-    "me:EmotionAnalysis1",
-    "me:NER1",
-    {
-    "@type": "analysis",
-    "@id": "anonymous"
-    }
-  ],
-  "entries": [
-    {
-      "@id": "http://micro.blog/status1",
-      "@type": [
-        "nif:RFC5147String",
-        "nif:Context"
-      ],
-      "nif:isString": "Dear Microsoft, put your Windows Phone on your newest #open technology program. You'll be awesome. #opensource",
-      "entities": [
-        {
-          "@id": "http://micro.blog/status1#char=5,13",
-          "nif:beginIndex": 5,
-          "nif:endIndex": 13,
-          "nif:anchorOf": "Microsoft",
-          "me:references": "http://dbpedia.org/page/Microsoft",
-          "prov:wasGeneratedBy": "me:NER1"
-        },
-        {
-          "@id": "http://micro.blog/status1#char=25,37",
-          "nif:beginIndex": 25,
-          "nif:endIndex": 37,
-          "nif:anchorOf": "Windows Phone",
-          "me:references": "http://dbpedia.org/page/Windows_Phone",
-          "prov:wasGeneratedBy": "me:NER1"
-        }
-      ],
-      "suggestions": [
-        {
-          "@id": "http://micro.blog/status1#char=16,77",
-          "nif:beginIndex": 16,
-          "nif:endIndex": 77,
-          "nif:anchorOf": "put your Windows Phone on your newest #open technology program",
-          "prov:wasGeneratedBy": "me:SgAnalysis1"
-        }
-      ],
-      "sentiments": [
-        {
-          "@id": "http://micro.blog/status1#char=80,97",
-          "nif:beginIndex": 80,
-          "nif:endIndex": 97,
-          "nif:anchorOf": "You'll be awesome.",
-          "marl:hasPolarity": "marl:Positive",
-          "marl:polarityValue": 0.9,
-          "prov:wasGeneratedBy": "me:SAnalysis1"
-        }
-      ],
-      "emotions": [
-        {
-          "@id": "http://micro.blog/status1#char=0,109",
-          "nif:anchorOf": "Dear Microsoft, put your Windows Phone on your newest #open technology program. You'll be awesome. #opensource",
-          "prov:wasGeneratedBy": "me:EAnalysis1",
-          "onyx:hasEmotion": [
-            {
-              "onyx:hasEmotionCategory": "wna:liking"
-            },
-            {
-              "onyx:hasEmotionCategory": "wna:excitement"
-            }
-          ]
-        }
-      ]
-    }
-  ]
-}

docs/examples/results/example-suggestion.json

@@ -3,7 +3,10 @@
   "@id": "me:Result1",
   "@type": "results",
   "analysis": [
-      "me:SgAnalysis1"
+    {
+      "@id": "me:SgAnalysis1",
+      "@type": "me:SuggestionAnalysis"
+    }
   ],
   "entries": [
     {

docs/plugins-definition.rst

@@ -1,113 +0,0 @@
-Advanced plugin definition
---------------------------
-In addition to finding plugins defined in source code files, senpy can also load a special type of definition file (`.senpy` files).
-This used to be the only mechanism for loading in earlier versions of senpy.
-
-The definition file contains basic information 
-
-Lastly, it is also possible to add new plugins programmatically.
-
-.. contents:: :local:
-
-What is a plugin?
-=================
-
-A plugin is a program that, given a text, will add annotations to it.
-In practice, a plugin consists of at least two files:
-
-- Definition file: a `.senpy` file that describes the plugin (e.g. what input parameters it accepts, what emotion model it uses).
-- Python module: the actual code that will add annotations to each input.
-
-This separation allows us to deploy plugins that use the same code but employ different parameters.
-For instance, one could use the same classifier and processing in several plugins, but train with different datasets.
-This scenario is particularly useful for evaluation purposes.
-
-The only limitation is that the name of each plugin needs to be unique.
-
-Definition files
-================
-
-The definition file complements and overrides the attributes provided by the plugin.
-It can be written in YAML or JSON.
-The most important attributes are:
-
-* **name**: unique name that senpy will use internally to identify the plugin.
-* **module**: indicates the module that contains the plugin code, which will be automatically loaded by senpy.
-* **version**
-* extra_params: to add parameters to the senpy API when this plugin is requested. Those parameters may be required, and have aliased names. For instance:
-
-  .. code:: yaml
-
-            extra_params:
-                hello_param:
-                    aliases: # required
-                        - hello_param
-                        - hello
-                    required: true
-                    default: Hi you
-                    values:
-                        - Hi you
-                        - Hello y'all
-                        - Howdy
-
-A complete example:
-
-.. code:: yaml
-          
-          name: <Name of the plugin>
-          module: <Python file>
-          version: 0.1
-
-And the json equivalent:
-
-.. code:: json
-
-          {
-            "name": "<Name of the plugin>",
-            "module": "<Python file>",
-            "version": "0.1"
-          }
-
-
-Example plugin with a definition file
-=====================================
-
-In this section, we will implement a basic sentiment analysis plugin.
-To determine the polarity of each entry, the plugin will compare the length of the string to a threshold.
-This threshold will be included in the definition file.
-
-The definition file would look like this:
-
-.. code:: yaml
-
-          name: helloworld
-          module: helloworld
-          version: 0.0
-          threshold: 10
-          description: Hello World
-
-Now, in a file named ``helloworld.py``:
-
-.. code:: python
-
-          #!/bin/env python
-          #helloworld.py
-
-          from senpy import AnalysisPlugin
-          from senpy import Sentiment
-
-
-          class HelloWorld(AnalysisPlugin):
-
-              def analyse_entry(entry, params):
-                  '''Basically do nothing with each entry'''
-
-                  sentiment = Sentiment()
-                  if len(entry.text) < self.threshold:
-                      sentiment['marl:hasPolarity'] = 'marl:Positive'
-                  else:
-                      sentiment['marl:hasPolarity'] = 'marl:Negative'
-                  entry.sentiments.append(sentiment)
-                  yield entry
-
-The complete code of the example plugin is available `here <https://lab.cluster.gsi.dit.upm.es/senpy/plugin-prueba>`__.

docs/plugins.rst

@@ -1,8 +1,6 @@
 Developing new plugins
 ----------------------
-This document contains the minimum to get you started with developing new analysis plugin.
-For an example of conversion plugins, see :doc:`conversion`.
-For a description of definition files, see :doc:`plugins-definition`.
+This document describes how to develop a new analysis plugin. For an example of conversion plugins, see :doc:`conversion`.
 
 A more step-by-step tutorial with slides is available `here <https://lab.cluster.gsi.dit.upm.es/senpy/senpy-tutorial>`__ 
 
@@ -11,29 +9,83 @@ A more step-by-step tutorial with slides is available `here <https://lab.cluster
 What is a plugin?
 =================
 
-A plugin is a python object that can process entries. Given an entry, it will modify it, add annotations to it, or generate new entries.
+A plugin is a program that, given a text, will add annotations to it.
+In practice, a plugin consists of at least two files:
+
+- Definition file: a `.senpy` file that describes the plugin (e.g. what input parameters it accepts, what emotion model it uses).
+- Python module: the actual code that will add annotations to each input.
+
+This separation allows us to deploy plugins that use the same code but employ different parameters.
+For instance, one could use the same classifier and processing in several plugins, but train with different datasets.
+This scenario is particularly useful for evaluation purposes.
+
+The only limitation is that the name of each plugin needs to be unique.
+
+Plugin Definition files
+=======================
+
+The definition file contains all the attributes of the plugin, and can be written in YAML or JSON.
+When the server is launched, it will recursively search for definition files in the plugin folder (the current folder, by default).
+The most important attributes are:
+
+* **name**: unique name that senpy will use internally to identify the plugin.
+* **module**: indicates the module that contains the plugin code, which will be automatically loaded by senpy.
+* **version**
+* extra_params: to add parameters to the senpy API when this plugin is requested. Those parameters may be required, and have aliased names. For instance:
+
+  .. code:: yaml
+
+            extra_params:
+                hello_param:
+                    aliases: # required
+                        - hello_param
+                        - hello
+                    required: true
+                    default: Hi you
+                    values:
+                        - Hi you
+                        - Hello y'all
+                        - Howdy
+
+  Parameter validation will fail if a required parameter without a default has not been provided, or if the definition includes a set of values and the provided one does not match one of them.
 
 
-What is an entry?
-=================
+A complete example:
+
+.. code:: yaml
+          
+          name: <Name of the plugin>
+          module: <Python file>
+          version: 0.1
+
+And the json equivalent:
+
+.. code:: json
+
+          {
+            "name": "<Name of the plugin>",
+            "module": "<Python file>",
+            "version": "0.1"
+          }
+
+
+Plugins Code
+============
+
+The basic methods in a plugin are:
+
+* __init__
+* activate: used to load memory-hungry resources
+* deactivate: used to free up resources
+* analyse_entry: called in every user requests. It takes two parameters: ``Entry``, the entry object, and ``params``, the parameters supplied by the user. It should yield one or more ``Entry`` objects.
+
+Plugins are loaded asynchronously, so don't worry if the activate method takes too long. The plugin will be marked as activated once it is finished executing the method.
+
+Entries
+=======
 
 Entries are objects that can be annotated.
-In general, they will be a piece of text.
 By default, entries are `NIF contexts <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core/nif-core.html>`_ represented in JSON-LD format.
-It is a dictionary/JSON object that looks like this:
-
-  .. code:: python
-
-            {
-               "@id": "<unique identifier or blank node name>",
-               "nif:isString": "input text",
-               "sentiments": [ {
-                     ...
-               }
-               ],
-               ...
-            }
-
 Annotations are added to the object like this:
 
 .. code:: python
@@ -48,111 +100,96 @@ The value may be any valid JSON-LD dictionary.
 For simplicity, senpy includes a series of models by default in the ``senpy.models`` module.
 
 
-What are annotations?
-=====================
-They are objects just like entries.
-Senpy ships with several default annotations, including: ``Sentiment``, ``Emotion``, ``EmotionSet``...jk bb
+Example plugin
+==============
 
+In this section, we will implement a basic sentiment analysis plugin.
+To determine the polarity of each entry, the plugin will compare the length of the string to a threshold.
+This threshold will be included in the definition file.
 
-What's a plugin made of?
-========================
+The definition file would look like this:
 
-When receiving a query, senpy selects what plugin or plugins should process each entry, and in what order.
-It also makes sure the every entry and the parameters provided by the user meet the plugin requirements.
+.. code:: yaml
 
-Hence, two parts are necessary: 1) the code that will process the entry, and 2) some attributes and metadata that will tell senpy how to interact with the plugin.
+          name: helloworld
+          module: helloworld
+          version: 0.0
+          threshold: 10
+          description: Hello World
 
-In practice, this is what a plugin looks like, tests included:
-
-
-.. literalinclude:: ../senpy/plugins/example/rand_plugin.py
-   :emphasize-lines: 5-11
-   :language: python
-
-
-The lines highlighted contain some information about the plugin.
-In particular, the following information is mandatory:
-
-* A unique name for the class. In our example, Rand.
-* The subclass/type of plugin. This is typically either `SentimentPlugin` or `EmotionPlugin`. However, new types of plugin can be created for different annotations. The only requirement is that these new types inherit from `senpy.Analysis`
-* A description of the plugin. This can be done simply by adding a doc to the class.
-* A version, which should get updated.
-* An author name.
-
-
-Plugins Code
-============
-
-The basic methods in a plugin are:
-
-* analyse_entry: called in every user requests. It takes two parameters: ``Entry``, the entry object, and ``params``, the parameters supplied by the user. It should yield one or more ``Entry`` objects.
-* activate: used to load memory-hungry resources. For instance, to train a classifier.
-* deactivate: used to free up resources when the plugin is no longer needed.
-
-Plugins are loaded asynchronously, so don't worry if the activate method takes too long. The plugin will be marked as activated once it is finished executing the method.
-
-
-How does senpy find modules?
-============================
-
-Senpy looks for files of two types:
-
-* Python files of the form `senpy_<NAME>.py` or `<NAME>_plugin.py`. In these files, it will look for: 1) Instances that inherit from `senpy.Plugin`, or subclasses of `senpy.Plugin` that can be initialized without a configuration file. i.e. classes that contain all the required attributes for a plugin.
-* Plugin definition files (see :doc:`advanced-plugins`)
-
-Defining additional parameters
-==============================
-
-Your plugin may ask for additional parameters from the users of the service by using the attribute ``extra_params`` in your plugin definition.
-It takes a dictionary, where the keys are the name of the argument/parameter, and the value has the following fields:
-
-* aliases: the different names which can be used in the request to use the parameter.
-* required: if set to true, users need to provide this parameter unless a default is set.
-* options: the different acceptable values of the parameter (i.e. an enum). If set, the value provided must match one of the options.
-* default: the default value of the parameter, if none is provided in the request.
+Now, in a file named ``helloworld.py``:
 
 .. code:: python
 
-          "extra_params":{
-             "language": {
-                "aliases": ["language", "lang", "l"],
-                "required": True,
-                "options": ["es", "en"],
-                "default": "es"
-                }
-             }
+          #!/bin/env python
+          #helloworld.py
+
+          from senpy.plugins import AnalysisPlugin
+          from senpy.models import Sentiment
 
 
+          class HelloWorld(AnalysisPlugin):
+
+              def analyse_entry(entry, params):
+                  '''Basically do nothing with each entry'''
+
+                  sentiment = Sentiment()
+                  if len(entry.text) < self.threshold:
+                      sentiment['marl:hasPolarity'] = 'marl:Positive'
+                  else:
+                      sentiment['marl:hasPolarity'] = 'marl:Negative'
+                  entry.sentiments.append(sentiment)
+                  yield entry
+
+The complete code of the example plugin is available `here <https://lab.cluster.gsi.dit.upm.es/senpy/plugin-prueba>`__.
 
 Loading data and files
 ======================
 
 Most plugins will need access to files (dictionaries, lexicons, etc.).
-These files are usually heavy or under a license that does not allow redistribution.
-For this reason, senpy has a `data_folder` that is separated from the source files.
-The location of this folder is controlled programmatically or by setting the `SENPY_DATA` environment variable.
+It is good practice to specify the paths of these files in the plugin configuration, so the same code can be reused with different resources.
 
-Plugins have a convenience function `self.open` which will automatically prepend the data folder to relative paths:
 
+.. code:: yaml
+
+          name: dictworld
+          module: dictworld
+          dictionary_path: <PATH OF THE FILE>
+         
+The path can be either absolute, or relative.
+
+From absolute paths
+???????????????????
+
+Absolute paths (such as ``/data/dictionary.csv`` are straightfoward:
 
 .. code:: python
 
-          import os
+   with open(os.path.join(self.dictionary_path) as f:
+      ...
+
+From relative paths
+???????????????????
+Since plugins are loading dynamically, relative paths will refer to the current working directory.
+Instead, what you usually want is to load files *relative to the plugin source folder*, like so:
 
 
-          class PluginWithResources(AnalysisPlugin):
-              file_in_data = <FILE PATH>
-              file_in_sources = <FILE PATH>
+:: 
 
-              def activate(self):
-                  with self.open(self.file_in_data) as f:
-                      self._classifier = train_from_file(f)
-                  file_in_source = os.path.join(self.get_folder(), self.file_in_sources)
-                  with self.open(file_in_source) as f:
-                      pass
+   .
+   ..
+   plugin.senpy
+   plugin.py
+   dictionary.csv
 
-         
-It is good practice to specify the paths of these files in the plugin configuration, so the same code can be reused with different resources.
+For this, we need to first get the path of your source folder first, like so:
+
+.. code:: python
+
+   import os
+   root = os.path.realpath(__file__)
+   with open(os.path.join(root, self.dictionary_path) as f:
+       ...
 
 
 Docker image
@@ -162,17 +199,8 @@ Add the following dockerfile to your project to generate a docker image with you
 
 .. code:: dockerfile
 
-   FROM gsiupm/senpy
+   FROM gsiupm/senpy:0.8.8
 
-Once you make sure your plugin works with a specific version of senpy, modify that file to make sure your build will work even if senpy gets updated.
-e.g.:
-
-
-.. code:: dockerfile
-
-   FROM gsiupm/senpy:1.0.1
-
-     
 This will copy your source folder to the image, and install all dependencies.
 Now, to build an image:
 
@@ -187,7 +215,7 @@ And you can run it with:
    docker run -p 5000:5000 gsiupm/exampleplugin
 
 
-If the plugin uses non-source files (:ref:`loading data and files`), the recommended way is to use `SENPY_DATA` folder.
+If the plugin non-source files (:ref:`loading data and files`), the recommended way is to use absolute paths.
 Data can then be mounted in the container or added to the image.
 The former is recommended for open source plugins with licensed resources, whereas the latter is the most convenient and can be used for private images.
 
@@ -201,7 +229,7 @@ Adding data to the image:
 
 .. code:: dockerfile
 
-   FROM gsiupm/senpy:1.0.1
+   FROM gsiupm/senpy:0.8.8
    COPY data /
 
 F.A.Q.
@@ -217,7 +245,7 @@ Why does the analyse function yield instead of return?
 ??????????????????????????????????????????????????????
 
 This is so that plugins may add new entries to the response or filter some of them.
-For instance, a chunker may split one entry into several.
+For instance, a `context detection` plugin may add a new entry for each context in the original entry.
 On the other hand, a conversion plugin may leave out those entries that do not contain relevant information.
 
 
@@ -247,13 +275,11 @@ Training a classifier can be time time consuming. To avoid running the training
               def deactivate(self):
                   self.close()
 
-
-By default the ShelfMixin creates a file based on the plugin name and stores it in that plugin's folder.
-However, you can manually specify a 'shelf_file' in your .senpy file.
+You can specify a 'shelf_file' in your .senpy file. By default the ShelfMixin creates a file based on the plugin name and stores it in that plugin's folder.
 
 Shelves may get corrupted if the plugin exists unexpectedly.
 A corrupt shelf prevents the plugin from loading.
-If you do not care about the data in the shelf, you can force your plugin to remove the corrupted file and load anyway, set the  'force_shelf' to True in your plugin and start it again.
+If you do not care about the pickle, you can force your plugin to remove the corrupted file and load anyway, set the  'force_shelf' to True in your .senpy file.
 
 How can I turn an external service into a plugin?
 ?????????????????????????????????????????????????
@@ -287,11 +313,50 @@ This example ilustrate how to implement a plugin that accesses the Sentiment140
                                       prefix=p,
                                       marl__hasPolarity=polarity,
                                       marl__polarityValue=polarity_value)
-                  sentiment.prov(self)
+                  sentiment.prov__wasGeneratedBy = self.id
                   entry.sentiments.append(sentiment)
                   yield entry
 
 
+Can my plugin require additional parameters from the user?
+??????????????????????????????????????????????????????????
+
+You can add extra parameters in the definition file under the attribute ``extra_params``.
+It takes a dictionary, where the keys are the name of the argument/parameter, and the value has the following fields:
+
+* aliases: the different names which can be used in the request to use the parameter.
+* required: if set to true, users need to provide this parameter unless a default is set.
+* options: the different acceptable values of the parameter (i.e. an enum). If set, the value provided must match one of the options.
+* default: the default value of the parameter, if none is provided in the request.
+
+.. code:: python
+
+          extra_params
+             language:
+                aliases:
+                    - language
+                    - lang
+                    - l
+                required: true,
+                options:
+                    - es
+                    - en
+                default: es
+
+This example shows how to introduce a parameter associated with language.
+The extraction of this paremeter is used in the analyse method of the Plugin interface.
+
+.. code:: python
+
+          lang = params.get("language")
+
+Where can I set up variables for using them in my plugin?
+?????????????????????????????????????????????????????????
+
+You can add these variables in the definition file with the structure of attribute-value pairs.
+
+Every field added to the definition file is available to the plugin instance.
+
 Can I activate a DEBUG mode for my plugin?
 ???????????????????????????????????????????
 
@@ -306,7 +371,7 @@ Additionally, with the ``--pdb`` option you will be dropped into a pdb post mort
 
 .. code:: bash
 
-   python -m pdb yourplugin.py
+   senpy --pdb
 
 Where can I find more code examples?
 ????????????????????????????????????

docs/senpy.rst

@@ -1,11 +1,8 @@
 What is Senpy?
 --------------
 
-Senpy is a framework for text analysis using Linked Data. There are three main applications of Senpy so far: sentiment and emotion analysis, user profiling and entity recoginition. Annotations and Services are compliant with NIF (NLP Interchange Format).
-
-Senpy aims at providing a framework where analysis modules can be integrated easily as plugins, and providing a core functionality for managing tasks such as data validation, user interaction, formatting, logging, translation to linked data, etc. 
-
-The figure below summarizes the typical features in a text analysis service.
+Web services can get really complex: data validation, user interaction, formatting, logging., etc. 
+The figure below summarizes the typical features in an analysis service.
 Senpy implements all the common blocks, so developers can focus on what really matters: great analysis algorithms that solve real problems.
 
 .. image:: senpy-framework.png

docs/server.rst

@@ -7,29 +7,21 @@ The senpy server is launched via the `senpy` command:
 
     usage: senpy [-h] [--level logging_level] [--debug] [--default-plugins]
                 [--host HOST] [--port PORT] [--plugins-folder PLUGINS_FOLDER]
-                [--only-install] [--only-list] [--data-folder DATA_FOLDER]
-                [--threaded] [--version]
+                [--only-install]
 
     Run a Senpy server
 
     optional arguments:
-      -h, --help            show this help message and exit
-      --level logging_level, -l logging_level
+    -h, --help            show this help message and exit
+    --level logging_level, -l logging_level
                             Logging level
-      --debug, -d           Run the application in debug mode
-      --default-plugins     Load the default plugins
-      --host HOST           Use 0.0.0.0 to accept requests from any host.
-      --port PORT, -p PORT  Port to listen on.
-      --plugins-folder PLUGINS_FOLDER, -f PLUGINS_FOLDER
+    --debug, -d           Run the application in debug mode
+    --default-plugins     Load the default plugins
+    --host HOST           Use 0.0.0.0 to accept requests from any host.
+    --port PORT, -p PORT  Port to listen on.
+    --plugins-folder PLUGINS_FOLDER, -f PLUGINS_FOLDER
                             Where to look for plugins.
-      --only-install, -i    Do not run a server, only install plugin dependencies
-      --only-list, --list   Do not run a server, only list plugins found
-      --data-folder DATA_FOLDER, --data DATA_FOLDER
-                            Where to look for data. It be set with the SENPY_DATA
-                            environment variable as well.
-      --threaded            Run a threaded server
-      --version, -v         Output the senpy version and exit
-
+    --only-install, -i    Do not run a server, only install plugin dependencies
 
 
 When launched, the server will recursively look for plugins in the specified plugins folder (the current working directory by default).

docs/vocabularies.rst

@@ -1,24 +1,8 @@
 Vocabularies and model
 ======================
 
-The model used in Senpy is based on NIF 2.0 [1], which defines a semantic format and API for improving interoperability among natural language processing services.
+The model used in Senpy is based on the following vocabularies:
 
-Senpy has been applied to sentiment and emotion analysis services using the following vocabularies:
-
-* Marl [2,6], a vocabulary designed to annotate and describe subjetive opinions expressed on the web or in information systems.
-* Onyx [3,5], which is built one the same principles as Marl to annotate and describe emotions, and provides interoperability with Emotion Markup Language.
-
-An overview of the vocabularies and their use can be found in [4].
-
-
-[1] Guidelines for developing NIF-based NLP services, Final Community Group Report 22 December 2015 Available at: https://www.w3.org/2015/09/bpmlod-reports/nif-based-nlp-webservices/
-
-[2] Marl Ontology Specification, available at http://www.gsi.dit.upm.es/ontologies/marl/
-
-[3] Onyx Ontology Specification, available at http://www.gsi.dit.upm.es/ontologies/onyx/
-
-[4] Iglesias, C. A., Sánchez-Rada, J. F., Vulcu, G., & Buitelaar, P. (2017). Linked Data Models for Sentiment and Emotion Analysis in Social Networks. In Sentiment Analysis in Social Networks (pp. 49-69).
-
-[5] Sánchez-Rada, J. F., & Iglesias, C. A. (2016). Onyx: A linked data approach to emotion representation. Information Processing & Management, 52(1), 99-114.
-
-[6] Westerski, A., Iglesias Fernandez, C. A., & Tapia Rico, F. (2011). Linked opinions: Describing sentiments on the structured web of data.
+* Marl, a vocabulary designed to annotate and describe subjetive opinions expressed on the web or in information systems.
+* Onyx, which is built one the same principles as Marl to annotate and describe emotions, and provides interoperability with Emotion Markup Language.
+* NIF 2.0, which defines a semantic format and APO for improving interoperability among natural language processing services

example-plugins/README.md

@@ -1,23 +0,0 @@
-This is a collection of plugins that exemplify certain aspects of plugin development with senpy.
-
-The first series of plugins the `basic` ones.
-Their starting point is a classification function defined in `basic.py`.
-They all include testing and running them as a script will run all tests.
-In ascending order of customization, the plugins are:
-
-* Basic is the simplest plugin of all. It leverages the `SentimentBox` Plugin class to create a plugin out of a classification method, and `MappingMixin` to convert the labels from (`pos`, `neg`) to (`marl:Positive`, `marl:Negative`
-* Basic_box is just like the previous one, but replaces the mixin with a custom function.
-* Basic_configurable is a version of `basic` with a configurable map of emojis for each sentiment.
-* Basic_parameterized like `basic_info`, but users set the map in each query (via `extra_parameters`).
-* Basic_analyse\_entry uses the more general `analyse_entry` method and adds the annotations individually.
-
-
-In rest of the plugins show advanced topics:
-
-* mynoop: shows how to add a definition file with external requirements for a plugin. Doing this with a python-only module would require moving all imports of the requirements to their functions, which is considered bad practice.
-* Async: a barebones example of training a plugin and analyzing data in parallel.
-
-All of the plugins in this folder include a set of test cases and they are periodically tested with the latest version of senpy.
-
-Additioanlly, for an example of stand-alone plugin that can be tested and deployed with docker, take a look at: lab.cluster.gsi.dit.upm.es/senpy/plugin-example
- bbm

example-plugins/basic.py

@@ -1,23 +0,0 @@
-#!/usr/local/bin/python
-# coding: utf-8
-
-emoticons = {
-    'pos': [':)', ':]', '=)', ':D'],
-    'neg': [':(', ':[', '=(']
-}
-
-emojis = {
-    'pos': ['😁', '😂', '😃', '😄', '😆', '😅', '😄' '😍'],
-    'neg': ['😢', '😡', '😠', '😞', '😖', '😔', '😓', '😒']
-}
-
-
-def get_polarity(text, dictionaries=[emoticons, emojis]):
-    polarity = 'marl:Neutral'
-    for dictionary in dictionaries:
-        for label, values in dictionary.items():
-            for emoticon in values:
-                if emoticon and emoticon in text:
-                    polarity = label
-                    break
-    return polarity

example-plugins/basic_analyse_entry_plugin.py

@@ -1,47 +0,0 @@
-#!/usr/local/bin/python
-# coding: utf-8
-
-from senpy import easy_test, models, plugins
-
-import basic
-
-
-class BasicAnalyseEntry(plugins.SentimentPlugin):
-    '''Equivalent to Basic, implementing the analyse_entry method'''
-
-    author = '@balkian'
-    version = '0.1'
-
-    mappings = {
-        'pos': 'marl:Positive',
-        'neg': 'marl:Negative',
-        'default': 'marl:Neutral'
-    }
-
-    def analyse_entry(self, entry, params):
-        polarity = basic.get_polarity(entry.text)
-
-        polarity = self.mappings.get(polarity, self.mappings['default'])
-
-        s = models.Sentiment(marl__hasPolarity=polarity)
-        s.prov(self)
-        entry.sentiments.append(s)
-        yield entry
-
-    test_cases = [{
-        'input': 'Hello :)',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'So sad :(',
-        'polarity': 'marl:Negative'
-    }, {
-        'input': 'Yay! Emojis  😁',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'But no emoticons 😢',
-        'polarity': 'marl:Negative'
-    }]
-
-
-if __name__ == '__main__':
-    easy_test()

example-plugins/basic_box_plugin.py

@@ -1,41 +0,0 @@
-#!/usr/local/bin/python
-# coding: utf-8
-
-from senpy import easy_test, SentimentBox
-
-import basic
-
-
-class BasicBox(SentimentBox):
-    ''' A modified version of Basic that also does converts annotations manually'''
-
-    author = '@balkian'
-    version = '0.1'
-
-    mappings = {
-        'pos': 'marl:Positive',
-        'neg': 'marl:Negative',
-        'default': 'marl:Neutral'
-    }
-
-    def predict_one(self, input):
-        output = basic.get_polarity(input)
-        return self.mappings.get(output, self.mappings['default'])
-
-    test_cases = [{
-        'input': 'Hello :)',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'So sad :(',
-        'polarity': 'marl:Negative'
-    }, {
-        'input': 'Yay! Emojis  😁',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'But no emoticons 😢',
-        'polarity': 'marl:Negative'
-    }]
-
-
-if __name__ == '__main__':
-    easy_test()

example-plugins/basic_plugin.py

@@ -1,40 +0,0 @@
-#!/usr/local/bin/python
-# coding: utf-8
-
-from senpy import easy_test, SentimentBox, MappingMixin
-
-import basic
-
-
-class Basic(MappingMixin, SentimentBox):
-    '''Provides sentiment annotation using a lexicon'''
-
-    author = '@balkian'
-    version = '0.1'
-
-    mappings = {
-        'pos': 'marl:Positive',
-        'neg': 'marl:Negative',
-        'default': 'marl:Neutral'
-    }
-
-    def predict_one(self, input):
-        return basic.get_polarity(input)
-
-    test_cases = [{
-        'input': 'Hello :)',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'So sad :(',
-        'polarity': 'marl:Negative'
-    }, {
-        'input': 'Yay! Emojis  😁',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'But no emoticons 😢',
-        'polarity': 'marl:Negative'
-    }]
-
-
-if __name__ == '__main__':
-    easy_test()

example-plugins/configurable_plugin.py

@@ -1,105 +0,0 @@
-#!/usr/local/bin/python
-# coding: utf-8
-
-from senpy import easy_test, models, plugins
-
-import basic
-
-
-class Dictionary(plugins.SentimentPlugin):
-    '''Sentiment annotation using a configurable lexicon'''
-
-    author = '@balkian'
-    version = '0.2'
-
-    dictionaries = [basic.emojis, basic.emoticons]
-
-    mappings = {'pos': 'marl:Positive', 'neg': 'marl:Negative'}
-
-    def analyse_entry(self, entry, params):
-        polarity = basic.get_polarity(entry.text, self.dictionaries)
-        if polarity in self.mappings:
-            polarity = self.mappings[polarity]
-
-        s = models.Sentiment(marl__hasPolarity=polarity)
-        s.prov(self)
-        entry.sentiments.append(s)
-        yield entry
-
-    test_cases = [{
-        'input': 'Hello :)',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'So sad :(',
-        'polarity': 'marl:Negative'
-    }, {
-        'input': 'Yay! Emojis  😁',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'But no emoticons 😢',
-        'polarity': 'marl:Negative'
-    }]
-
-
-class EmojiOnly(Dictionary):
-    '''Sentiment annotation with a basic lexicon of emojis'''
-    dictionaries = [basic.emojis]
-
-    test_cases = [{
-        'input': 'Hello :)',
-        'polarity': 'marl:Neutral'
-    }, {
-        'input': 'So sad :(',
-        'polarity': 'marl:Neutral'
-    }, {
-        'input': 'Yay! Emojis  😁',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'But no emoticons 😢',
-        'polarity': 'marl:Negative'
-    }]
-
-
-class EmoticonsOnly(Dictionary):
-    '''Sentiment annotation with a basic lexicon of emoticons'''
-    dictionaries = [basic.emoticons]
-
-    test_cases = [{
-        'input': 'Hello :)',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'So sad :(',
-        'polarity': 'marl:Negative'
-    }, {
-        'input': 'Yay! Emojis  😁',
-        'polarity': 'marl:Neutral'
-    }, {
-        'input': 'But no emoticons 😢',
-        'polarity': 'marl:Neutral'
-    }]
-
-
-class Salutes(Dictionary):
-    '''Sentiment annotation with a custom lexicon, for illustration purposes'''
-    dictionaries = [{
-        'marl:Positive': ['Hello', '!'],
-        'marl:Negative': ['Good bye', ]
-    }]
-
-    test_cases = [{
-        'input': 'Hello :)',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'Good bye :(',
-        'polarity': 'marl:Negative'
-    }, {
-        'input': 'Yay! Emojis  😁',
-        'polarity': 'marl:Positive'
-    }, {
-        'input': 'But no emoticons 😢',
-        'polarity': 'marl:Neutral'
-    }]
-
-
-if __name__ == '__main__':
-    easy_test()

example-plugins/dummy_plugin.py

@@ -1,25 +0,0 @@
-from senpy import AnalysisPlugin, easy
-
-
-class Dummy(AnalysisPlugin):
-    '''This is a dummy self-contained plugin'''
-    author = '@balkian'
-    version = '0.1'
-
-    def analyse_entry(self, entry, params):
-        entry['nif:isString'] = entry['nif:isString'][::-1]
-        entry.reversed = entry.get('reversed', 0) + 1
-        yield entry
-
-    test_cases = [{
-        'entry': {
-            'nif:isString': 'Hello',
-        },
-        'expected': {
-            'nif:isString': 'olleH'
-        }
-    }]
-
-
-if __name__ == '__main__':
-    easy()

example-plugins/dummy_required_plugin.py

@@ -1,40 +0,0 @@
-from senpy import AnalysisPlugin, easy
-
-
-class DummyRequired(AnalysisPlugin):
-    '''This is a dummy self-contained plugin'''
-    author = '@balkian'
-    version = '0.1'
-    extra_params = {
-        'example': {
-            'description': 'An example parameter',
-            'required': True,
-            'options': ['a', 'b']
-        }
-    }
-
-    def analyse_entry(self, entry, params):
-        entry['nif:isString'] = entry['nif:isString'][::-1]
-        entry.reversed = entry.get('reversed', 0) + 1
-        yield entry
-
-    test_cases = [{
-        'entry': {
-            'nif:isString': 'Hello',
-        },
-        'should_fail': True
-    }, {
-        'entry': {
-            'nif:isString': 'Hello',
-        },
-        'params': {
-            'example': 'a'
-        },
-        'expected': {
-            'nif:isString': 'olleH'
-        }
-    }]
-
-
-if __name__ == '__main__':
-    easy()

example-plugins/mynoop.py

@@ -1,24 +0,0 @@
-import noop
-from senpy.plugins import SentimentPlugin
-
-
-class NoOp(SentimentPlugin):
-    '''This plugin does nothing. Literally nothing.'''
-
-    version = 0
-
-    def analyse_entry(self, entry, *args, **kwargs):
-        yield entry
-
-    def test(self):
-        print(dir(noop))
-        super(NoOp, self).test()
-
-    test_cases = [{
-        'entry': {
-            'nif:isString': 'hello'
-        },
-        'expected': {
-            'nif:isString': 'hello'
-        }
-    }]

example-plugins/mynoop.senpy

@@ -1,3 +0,0 @@
-module: mynoop
-requirements:
- - noop

example-plugins/parameterized_plugin.py

@@ -1,63 +0,0 @@
-#!/usr/local/bin/python
-# coding: utf-8
-
-from senpy import easy_test, models, plugins
-
-import basic
-
-
-class ParameterizedDictionary(plugins.SentimentPlugin):
-    '''This is a basic self-contained plugin'''
-
-    author = '@balkian'
-    version = '0.2'
-
-    extra_params = {
-        'positive-words': {
-            'description': 'Comma-separated list of words that are considered positive',
-            'aliases': ['positive'],
-            'required': True
-        },
-        'negative-words': {
-            'description': 'Comma-separated list of words that are considered negative',
-            'aliases': ['negative'],
-            'required': False
-        }
-    }
-
-    def analyse_entry(self, entry, params):
-        positive_words = params['positive-words'].split(',')
-        negative_words = params['negative-words'].split(',')
-        dictionary = {
-            'marl:Positive': positive_words,
-            'marl:Negative': negative_words,
-        }
-        polarity = basic.get_polarity(entry.text, [dictionary])
-
-        s = models.Sentiment(marl__hasPolarity=polarity)
-        s.prov(self)
-        entry.sentiments.append(s)
-        yield entry
-
-    test_cases = [
-        {
-            'input': 'Hello :)',
-            'polarity': 'marl:Positive',
-            'parameters': {
-                'positive': "Hello,:)",
-                'negative': "sad,:()"
-            }
-        },
-        {
-            'input': 'Hello :)',
-            'polarity': 'marl:Negative',
-            'parameters': {
-                'positive': "",
-                'negative': "Hello"
-            }
-        }
-    ]
-
-
-if __name__ == '__main__':
-    easy_test()

example-plugins/sklearn/mydata.py

@@ -1,33 +0,0 @@
-'''
-Create a dummy dataset.
-Messages with a happy emoticon are labelled positive
-Messages with a sad emoticon are labelled negative
-'''
-import random
-
-dataset = []
-
-vocabulary = ['hello', 'world', 'senpy', 'cool', 'goodbye', 'random', 'text']
-
-emojimap = {
-    1: [':)', ],
-    -1: [':(', ]
-}
-
-
-for tag, values in emojimap.items():
-    for i in range(1000):
-        msg = ''
-        for j in range(3):
-            msg += random.choice(vocabulary)
-            msg += " "
-        msg += random.choice(values)
-        dataset.append([msg, tag])
-
-
-text = []
-labels = []
-
-for i in dataset:
-    text.append(i[0])
-    labels.append(i[1])

example-plugins/sklearn/mypipeline.py

@@ -1,30 +0,0 @@
-from sklearn.pipeline import Pipeline
-from sklearn.feature_extraction.text import CountVectorizer
-from sklearn.model_selection import train_test_split
-
-from mydata import text, labels
-
-X_train, X_test, y_train, y_test = train_test_split(text, labels, test_size=0.12, random_state=42)
-
-from sklearn.naive_bayes import MultinomialNB
-
-
-count_vec = CountVectorizer(tokenizer=lambda x: x.split())
-clf3 = MultinomialNB()
-pipeline = Pipeline([('cv', count_vec),
-                    ('clf', clf3)])
-
-pipeline.fit(X_train, y_train)
-print('Feature names: {}'.format(count_vec.get_feature_names()))
-print('Class count: {}'.format(clf3.class_count_))
-
-
-if __name__ == '__main__':
-    print('--Results--')
-    tests = [
-        (['The sentiment for senpy should be positive :)', ], 1),
-        (['The sentiment for anything else should be negative :()', ], -1)
-    ]
-    for features, expected in tests:
-        result = pipeline.predict(features)
-        print('Input: {}\nExpected: {}\nGot: {}'.format(features[0], expected, result))

example-plugins/sklearn/pipeline_plugin.py

@@ -1,37 +0,0 @@
-from senpy import SentimentBox, MappingMixin, easy_test
-
-from mypipeline import pipeline
-
-
-class PipelineSentiment(MappingMixin, SentimentBox):
-    '''
-    This is a pipeline plugin that wraps a classifier defined in another module
-    (mypipeline).
-    '''
-    author = '@balkian'
-    version = 0.1
-    maxPolarityValue = 1
-    minPolarityValue = -1
-
-    mappings = {
-        1: 'marl:Positive',
-        -1: 'marl:Negative'
-    }
-
-    def predict_one(self, input):
-        return pipeline.predict([input, ])[0]
-
-    test_cases = [
-        {
-            'input': 'The sentiment for senpy should be positive :)',
-            'polarity': 'marl:Positive'
-        },
-        {
-            'input': 'The sentiment for senpy should be negative :(',
-            'polarity': 'marl:Negative'
-        }
-    ]
-
-
-if __name__ == '__main__':
-    easy_test()

example-plugins/sleep_plugin.py

@@ -1,27 +0,0 @@
-from senpy.plugins import AnalysisPlugin
-from time import sleep
-
-
-class Sleep(AnalysisPlugin):
-    '''Dummy plugin to test async'''
-    author = "@balkian"
-    version = "0.2"
-    timeout = 0.05
-    extra_params = {
-        "timeout": {
-            "@id": "timeout_sleep",
-            "aliases": ["timeout", "to"],
-            "required": False,
-            "default": 0
-        }
-    }
-
-    def activate(self, *args, **kwargs):
-        sleep(self.timeout)
-
-    def analyse_entry(self, entry, params):
-        sleep(float(params.get("timeout", self.timeout)))
-        yield entry
-
-    def test(self):
-        pass

extra-requirements.txt

@@ -1 +0,0 @@
-gsitk

k8s/senpy-deployment.yaml

@@ -13,7 +13,7 @@ spec:
     spec:
       containers:
       - name: senpy-latest
-        image: $IMAGEWTAG
+        image: gsiupm/senpy:latest
         imagePullPolicy: Always
         args:
           - "--default-plugins"

requirements.txt

@@ -2,13 +2,10 @@ Flask>=0.10.1
 requests>=2.4.1
 tornado>=4.4.3
 PyLD>=0.6.5
-nltk
+six
 future
 jsonschema
 jsonref
 PyYAML
 rdflib
 rdflib-jsonld
-numpy
-scipy
-scikit-learn

senpy/__init__.py

@@ -25,10 +25,4 @@ logger = logging.getLogger(__name__)
 
 logger.info('Using senpy version: {}'.format(__version__))
 
-from .utils import easy, easy_load, easy_test  # noqa: F401
-
-from .models import *  # noqa: F401,F403
-from .plugins import *  # noqa: F401,F403
-from .extensions import *  # noqa: F401,F403
-
 __all__ = ['api', 'blueprints', 'cli', 'extensions', 'models', 'plugins']

senpy/__main__.py

@@ -22,11 +22,9 @@ the server.
 
 from flask import Flask
 from senpy.extensions import Senpy
-from senpy.utils import easy_test
 
 import logging
 import os
-import sys
 import argparse
 import senpy
 
@@ -40,7 +38,7 @@ def main():
         '-l',
         metavar='logging_level',
         type=str,
-        default="WARN",
+        default="INFO",
         help='Logging level')
     parser.add_argument(
         '--debug',
@@ -68,7 +66,7 @@ def main():
         '--plugins-folder',
         '-f',
         type=str,
-        default='.',
+        default='plugins',
         help='Where to look for plugins.')
     parser.add_argument(
         '--only-install',
@@ -76,87 +74,31 @@ def main():
         action='store_true',
         default=False,
         help='Do not run a server, only install plugin dependencies')
-    parser.add_argument(
-        '--only-test',
-        action='store_true',
-        default=False,
-        help='Do not run a server, just test all plugins')
-    parser.add_argument(
-        '--test',
-        '-t',
-        action='store_true',
-        default=False,
-        help='Test all plugins before launching the server')
-    parser.add_argument(
-        '--only-list',
-        '--list',
-        action='store_true',
-        default=False,
-        help='Do not run a server, only list plugins found')
-    parser.add_argument(
-        '--data-folder',
-        '--data',
-        type=str,
-        default=None,
-        help='Where to look for data. It be set with the SENPY_DATA environment variable as well.')
     parser.add_argument(
         '--threaded',
         action='store_false',
         default=True,
         help='Run a threaded server')
-    parser.add_argument(
-        '--no-deps',
-        '-n',
-        action='store_true',
-        default=False,
-        help='Skip installing dependencies')
     parser.add_argument(
         '--version',
         '-v',
         action='store_true',
         default=False,
         help='Output the senpy version and exit')
-    parser.add_argument(
-        '--allow-fail',
-        '--fail',
-        action='store_true',
-        default=False,
-        help='Do not exit if some plugins fail to activate')
     args = parser.parse_args()
     if args.version:
         print('Senpy version {}'.format(senpy.__version__))
-        print(sys.version)
         exit(1)
+    logging.basicConfig()
     rl = logging.getLogger()
     rl.setLevel(getattr(logging, args.level))
     app = Flask(__name__)
     app.debug = args.debug
-    sp = Senpy(app, args.plugins_folder,
-               default_plugins=args.default_plugins,
-               data_folder=args.data_folder)
-    if args.only_list:
-        plugins = sp.plugins()
-        maxname = max(len(x.name) for x in plugins)
-        maxversion = max(len(x.version) for x in plugins)
-        print('Found {} plugins:'.format(len(plugins)))
-        for plugin in plugins:
-            import inspect
-            fpath = inspect.getfile(plugin.__class__)
-            print('\t{: <{maxname}} @ {: <{maxversion}} -> {}'.format(plugin.name,
-                                                                      plugin.version,
-                                                                      fpath,
-                                                                      maxname=maxname,
-                                                                      maxversion=maxversion))
-        return
-    if not args.no_deps:
-        sp.install_deps()
+    sp = Senpy(app, args.plugins_folder, default_plugins=args.default_plugins)
     if args.only_install:
+        sp.install_deps()
         return
-    sp.activate_all(allow_fail=args.allow_fail)
-    if args.test or args.only_test:
-        easy_test(sp.plugins(), debug=args.debug)
-        if args.only_test:
-            return
+    sp.activate_all()
     print('Senpy version {}'.format(senpy.__version__))
     print('Server running on port %s:%d. Ctrl+C to quit' % (args.host,
                                                             args.port))

senpy/api.py

@@ -1,53 +1,38 @@
 from future.utils import iteritems
-from .models import Error, Results, Entry, from_string
+from .models import Error
 import logging
 logger = logging.getLogger(__name__)
 
-
-boolean = [True, False]
-
-
 API_PARAMS = {
     "algorithm": {
-        "aliases": ["algorithms", "a", "algo"],
+        "aliases": ["algorithm", "a", "algo"],
         "required": False,
-        "description": ("Algorithms that will be used to process the request."
-                        "It may be a list of comma-separated names."),
-    },
-    "expanded-jsonld": {
-        "@id": "expanded-jsonld",
-        "aliases": ["expanded"],
-        "options": boolean,
-        "required": True,
-        "default": False
-    },
-    "with_parameters": {
-        "aliases": ['withparameters',
-                    'with-parameters'],
-        "options": boolean,
-        "default": False,
-        "required": True
     },
     "outformat": {
         "@id": "outformat",
-        "aliases": ["o"],
+        "aliases": ["outformat", "o"],
         "default": "json-ld",
         "required": True,
-        "options": ["json-ld", "turtle", "ntriples"],
+        "options": ["json-ld", "turtle"],
     },
-    "help": {
-        "@id": "help",
-        "description": "Show additional help to know more about the possible parameters",
-        "aliases": ["h"],
+    "expanded-jsonld": {
+        "@id": "expanded-jsonld",
+        "aliases": ["expanded", "expanded-jsonld"],
         "required": True,
-        "options": boolean,
-        "default": False
+        "default": 0
     },
     "emotionModel": {
         "@id": "emotionModel",
-        "aliases": ["emoModel"],
+        "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",
@@ -57,43 +42,17 @@ API_PARAMS = {
     }
 }
 
-EVAL_PARAMS = {
-    "algorithm": {
-        "aliases": ["plug", "p", "plugins", "algorithms", 'algo', 'a', 'plugin'],
-        "description": "Plugins to be evaluated",
-        "required": True,
-        "help": "See activated plugins in /plugins"
-    },
-    "dataset": {
-        "aliases": ["datasets", "data", "d"],
-        "description": "Datasets to be evaluated",
-        "required": True,
-        "help": "See avalaible datasets in /datasets"
-    }
-}
-
-PLUGINS_PARAMS = {
-    "plugin_type": {
-        "@id": "pluginType",
-        "description": 'What kind of plugins to list',
-        "aliases": ["pluginType"],
-        "required": True,
-        "default": 'analysisPlugin'
-    }
-}
-
 WEB_PARAMS = {
     "inHeaders": {
-        "aliases": ["headers"],
+        "aliases": ["inHeaders", "headers"],
         "required": True,
-        "default": False,
-        "options": boolean
+        "default": "0"
     },
 }
 
 CLI_PARAMS = {
     "plugin_folder": {
-        "aliases": ["folder"],
+        "aliases": ["plugin_folder", "folder"],
         "required": True,
         "default": "."
     },
@@ -102,104 +61,71 @@ CLI_PARAMS = {
 NIF_PARAMS = {
     "input": {
         "@id": "input",
-        "aliases": ["i"],
+        "aliases": ["i", "input"],
         "required": True,
         "help": "Input text"
     },
+    "informat": {
+        "@id": "informat",
+        "aliases": ["f", "informat"],
+        "required": False,
+        "default": "text",
+        "options": ["turtle", "text", "json-ld"],
+    },
     "intype": {
         "@id": "intype",
-        "aliases": ["t"],
+        "aliases": ["intype", "t"],
         "required": False,
         "default": "direct",
         "options": ["direct", "url", "file"],
     },
-    "informat": {
-        "@id": "informat",
-        "aliases": ["f"],
-        "required": False,
-        "default": "text",
-        "options": ["text", "json-ld"],
-    },
     "language": {
         "@id": "language",
-        "aliases": ["l"],
+        "aliases": ["language", "l"],
         "required": False,
     },
     "prefix": {
         "@id": "prefix",
-        "aliases": ["p"],
+        "aliases": ["prefix", "p"],
         "required": True,
         "default": "",
     },
     "urischeme": {
         "@id": "urischeme",
-        "aliases": ["u"],
+        "aliases": ["urischeme", "u"],
         "required": False,
         "default": "RFC5147String",
-        "options": ["RFC5147String", ]
-    }
+        "options": "RFC5147String"
+    },
 }
 
 
-def parse_params(indict, *specs):
-    if not specs:
-        specs = [NIF_PARAMS]
-    logger.debug("Parsing: {}\n{}".format(indict, specs))
+def parse_params(indict, spec=NIF_PARAMS):
+    logger.debug("Parsing: {}\n{}".format(indict, spec))
     outdict = indict.copy()
     wrong_params = {}
-    for spec in specs:
-        for param, options in iteritems(spec):
+    for param, options in iteritems(spec):
+        if param[0] != "@":  # Exclude json-ld properties
             for alias in options.get("aliases", []):
-                # Replace each alias with the correct name of the parameter
-                if alias in indict and alias != param:
+                if alias in indict:
                     outdict[param] = indict[alias]
-                    del outdict[alias]
-                    continue
             if param not in outdict:
-                if "default" in options:
-                    # We assume the default is correct
-                    outdict[param] = options["default"]
-                elif options.get("required", False):
+                if options.get("required", False) and "default" not in options:
                     wrong_params[param] = spec[param]
-                continue
-            if "options" in options:
-                if options["options"] == boolean:
-                    outdict[param] = outdict[param] in [None, True, 'true', '1']
-                elif outdict[param] not in options["options"]:
+                else:
+                    if "default" in options:
+                        outdict[param] = options["default"]
+            else:
+                if "options" in spec[param] and \
+                   outdict[param] not in spec[param]["options"]:
                     wrong_params[param] = spec[param]
     if wrong_params:
         logger.debug("Error parsing: %s", wrong_params)
         message = Error(
             status=400,
-            message='Missing or invalid parameters',
+            message="Missing or invalid parameters",
             parameters=outdict,
-            errors=wrong_params)
+            errors={param: error
+                    for param, error in iteritems(wrong_params)})
         raise message
-    if 'algorithm' in outdict and not isinstance(outdict['algorithm'], list):
-        outdict['algorithm'] = list(outdict['algorithm'].split(','))
     return outdict
-
-
-def parse_extra_params(request, plugin=None):
-    params = request.parameters.copy()
-    if plugin:
-        extra_params = parse_params(params, plugin.get('extra_params', {}))
-        params.update(extra_params)
-    return params
-
-
-def parse_call(params):
-    '''Return a results object based on the parameters used in a call/request.
-    '''
-    params = parse_params(params, NIF_PARAMS)
-    if params['informat'] == 'text':
-        results = Results()
-        entry = Entry(nif__isString=params['input'],
-                      id='#')  # Use @base
-        results.entries.append(entry)
-    elif params['informat'] == 'json-ld':
-        results = from_string(params['input'], cls=Results)
-    else:  # pragma: no cover
-        raise NotImplementedError('Informat {} is not implemented'.format(params['informat']))
-    results.parameters = params
-    return results

senpy/blueprints.py

@@ -18,40 +18,21 @@
 Blueprints for Senpy
 """
 from flask import (Blueprint, request, current_app, render_template, url_for,
-                   jsonify, redirect)
-from .models import Error, Response, Help, Plugins, read_schema, dump_schema, Datasets
-from . import api
+                   jsonify)
+from .models import Error, Response, Plugins, read_schema
+from .api import WEB_PARAMS, API_PARAMS, parse_params
 from .version import __version__
 from functools import wraps
 
 import logging
 import json
-import base64
 
 logger = logging.getLogger(__name__)
 
 api_blueprint = Blueprint("api", __name__)
-demo_blueprint = Blueprint("demo", __name__, template_folder='templates')
+demo_blueprint = Blueprint("demo", __name__)
 ns_blueprint = Blueprint("ns", __name__)
 
-_mimetypes_r = {'json-ld': ['application/ld+json'],
-                'turtle': ['text/turtle'],
-                'ntriples': ['application/n-triples'],
-                'text': ['text/plain']}
-
-MIMETYPES = {}
-
-for k, vs in _mimetypes_r.items():
-    for v in vs:
-        if v in MIMETYPES:
-            raise Exception('MIMETYPE {} specified for two formats: {} and {}'.format(v,
-                                                                                      v,
-                                                                                      MIMETYPES[v]))
-        MIMETYPES[v] = k
-
-DEFAULT_MIMETYPE = 'application/ld+json'
-DEFAULT_FORMAT = 'json-ld'
-
 
 def get_params(req):
     if req.method == 'POST':
@@ -63,159 +44,90 @@ def get_params(req):
     return indict
 
 
-def encoded_url(url=None, base=None):
-    code = ''
-    if not url:
-        if request.method == 'GET':
-            url = request.full_path[1:]  # Remove the first slash
-        else:
-            hash(frozenset(request.form.params().items()))
-            code = 'hash:{}'.format(hash)
-
-    code = code or base64.urlsafe_b64encode(url.encode()).decode()
-
-    if base:
-        return base + code
-    return url_for('api.decode', code=code, _external=True)
-
-
-def decoded_url(code, base=None):
-    if code.startswith('hash:'):
-        raise Exception('Can not decode a URL for a POST request')
-    base = base or request.url_root
-    path = base64.urlsafe_b64decode(code.encode()).decode()
-    return base + path
-
-
 @demo_blueprint.route('/')
 def index():
-    ev = str(get_params(request).get('evaluation', False))
-    evaluation_enabled = ev.lower() not in ['false', 'no', 'none']
-
-    return render_template("index.html",
-                           evaluation=evaluation_enabled,
-                           version=__version__)
+    return render_template("index.html", version=__version__)
 
 
 @api_blueprint.route('/contexts/<entity>.jsonld')
 def context(entity="context"):
     context = Response._context
     context['@vocab'] = url_for('ns.index', _external=True)
-    context['endpoint'] = url_for('api.api_root', _external=True)
     return jsonify({"@context": context})
 
 
-@api_blueprint.route('/d/<code>')
-def decode(code):
-    try:
-        return redirect(decoded_url(code))
-    except Exception:
-        return Error('invalid URL').flask()
-
-
 @ns_blueprint.route('/')  # noqa: F811
 def index():
-    context = Response._context.copy()
-    context['endpoint'] = url_for('api.api_root', _external=True)
+    context = Response._context
+    context['@vocab'] = url_for('.ns', _external=True)
     return jsonify({"@context": context})
 
 
 @api_blueprint.route('/schemas/<schema>')
 def schema(schema="definitions"):
     try:
-        return dump_schema(read_schema(schema))
-    except Exception as ex:  # Should be FileNotFoundError, but it's missing from py2
-        return Error(message="Schema not found: {}".format(ex), status=404).flask()
+        return jsonify(read_schema(schema))
+    except Exception:  # Should be FileNotFoundError, but it's missing from py2
+        return Error(message="Schema not found", status=404).flask()
 
 
 def basic_api(f):
-    default_params = {
-        'inHeaders': False,
-        'expanded-jsonld': False,
-        'outformat': None,
-        'with_parameters': True,
-    }
-
     @wraps(f)
     def decorated_function(*args, **kwargs):
         raw_params = get_params(request)
-        logger.info('Getting request: {}'.format(raw_params))
         headers = {'X-ORIGINAL-PARAMS': json.dumps(raw_params)}
-        params = default_params
+        # Get defaults
+        web_params = parse_params({}, spec=WEB_PARAMS)
+        api_params = parse_params({}, spec=API_PARAMS)
 
+        outformat = 'json-ld'
         try:
-            params = api.parse_params(raw_params, api.WEB_PARAMS, api.API_PARAMS)
-            if hasattr(request, 'parameters'):
-                request.parameters.update(params)
+            print('Getting request:')
+            print(request)
+            web_params = parse_params(raw_params, spec=WEB_PARAMS)
+            api_params = parse_params(raw_params, spec=API_PARAMS)
+            if hasattr(request, 'params'):
+                request.params.update(api_params)
             else:
-                request.parameters = params
+                request.params = api_params
             response = f(*args, **kwargs)
-        except (Exception) as ex:
-            if current_app.debug or current_app.config['TESTING']:
-                raise
-            if not isinstance(ex, Error):
-                msg = "{}".format(ex)
-                ex = Error(message=msg, status=500)
+        except Error as ex:
             response = ex
-            response.parameters = raw_params
-            logger.exception(ex)
+            logger.error(ex)
+            if current_app.debug:
+                raise
 
-        if 'parameters' in response and not params['with_parameters']:
-            del response.parameters
-
-        logger.info('Response: {}'.format(response))
-        mime = request.accept_mimetypes\
-                      .best_match(MIMETYPES.keys(),
-                                  DEFAULT_MIMETYPE)
-
-        mimeformat = MIMETYPES.get(mime, DEFAULT_FORMAT)
-        outformat = params['outformat'] or mimeformat
+        in_headers = web_params['inHeaders'] != "0"
+        expanded = api_params['expanded-jsonld']
+        outformat = api_params['outformat']
 
         return response.flask(
-            in_headers=params['inHeaders'],
+            in_headers=in_headers,
             headers=headers,
-            prefix=params.get('prefix', encoded_url()),
+            prefix=url_for('.api', _external=True),
             context_uri=url_for('api.context',
                                 entity=type(response).__name__,
                                 _external=True),
             outformat=outformat,
-            expanded=params['expanded-jsonld'])
+            expanded=expanded)
 
     return decorated_function
 
 
 @api_blueprint.route('/', methods=['POST', 'GET'])
 @basic_api
-def api_root():
-    if request.parameters['help']:
-        dic = dict(api.API_PARAMS, **api.NIF_PARAMS)
-        response = Help(valid_parameters=dic)
-        return response
-    req = api.parse_call(request.parameters)
-    return current_app.senpy.analyse(req)
-
-
-@api_blueprint.route('/evaluate/', methods=['POST', 'GET'])
-@basic_api
-def evaluate():
-    if request.parameters['help']:
-        dic = dict(api.EVAL_PARAMS)
-        response = Help(parameters=dic)
-        return response
-    else:
-        params = api.parse_params(request.parameters, api.EVAL_PARAMS)
-        response = current_app.senpy.evaluate(params)
-        return response
+def api():
+    response = current_app.senpy.analyse(**request.params)
+    return response
 
 
 @api_blueprint.route('/plugins/', methods=['POST', 'GET'])
 @basic_api
 def plugins():
     sp = current_app.senpy
-    params = api.parse_params(request.parameters, api.PLUGINS_PARAMS)
-    ptype = params.get('plugin_type')
-    plugins = list(sp.plugins(plugin_type=ptype))
-    dic = Plugins(plugins=plugins)
+    ptype = request.params.get('plugin_type')
+    plugins = sp.filter_plugins(plugin_type=ptype)
+    dic = Plugins(plugins=list(plugins.values()))
     return dic
 
 
@@ -223,13 +135,12 @@ def plugins():
 @basic_api
 def plugin(plugin=None):
     sp = current_app.senpy
-    return sp.get_plugin(plugin)
-
-
-@api_blueprint.route('/datasets/', methods=['POST', 'GET'])
-@basic_api
-def datasets():
-    sp = current_app.senpy
-    datasets = sp.datasets
-    dic = Datasets(datasets=list(datasets.values()))
-    return dic
+    if plugin == 'default' and sp.default_plugin:
+        return sp.default_plugin
+    plugins = sp.filter_plugins(
+        id='plugins/{}'.format(plugin)) or sp.filter_plugins(name=plugin)
+    if plugins:
+        response = list(plugins.values())[0]
+    else:
+        return Error(message="Plugin not found", status=404)
+    return response

senpy/cli.py

@@ -1,7 +1,7 @@
 import sys
 from .models import Error
+from .api import parse_params, CLI_PARAMS
 from .extensions import Senpy
-from . import api
 
 
 def argv_to_dict(argv):
@@ -13,31 +13,27 @@ def argv_to_dict(argv):
         if argv[i][0] == '-':
             key = argv[i].strip('-')
             value = argv[i + 1] if len(argv) > i + 1 else None
-            if not value or value[0] == '-':
-                cli_dict[key] = True
+            if value and value[0] == '-':
+                cli_dict[key] = ""
             else:
                 cli_dict[key] = value
     return cli_dict
 
 
+def parse_cli(argv):
+    cli_dict = argv_to_dict(argv)
+    cli_params = parse_params(cli_dict, spec=CLI_PARAMS)
+    return cli_params, cli_dict
+
+
 def main_function(argv):
     '''This is the method for unit testing
     '''
-    params = api.parse_params(argv_to_dict(argv),
-                              api.CLI_PARAMS,
-                              api.API_PARAMS,
-                              api.NIF_PARAMS)
-    plugin_folder = params['plugin_folder']
-    default_plugins = params.get('default-plugins', False)
-    sp = Senpy(default_plugins=default_plugins, plugin_folder=plugin_folder)
-    request = api.parse_call(params)
-    algos = request.parameters.get('algorithm', None)
-    if algos:
-        for algo in algos:
-            sp.activate_plugin(algo)
-    else:
-        sp.activate_all()
-    res = sp.analyse(request)
+    cli_params, cli_dict = parse_cli(argv)
+    plugin_folder = cli_params['plugin_folder']
+    sp = Senpy(default_plugins=False, plugin_folder=plugin_folder)
+    sp.activate_all(sync=True)
+    res = sp.analyse(**cli_dict)
     return res
 
 
@@ -46,9 +42,9 @@ def main():
     '''
     try:
         res = main_function(sys.argv[1:])
-        print(res.serialize())
+        print(res.to_JSON())
     except Error as err:
-        print(err.serialize())
+        print(err.to_JSON())
         sys.exit(2)
 
 

senpy/client.py

@@ -1,6 +1,7 @@
 import requests
 import logging
 from . import models
+from .plugins import default_plugin_type
 
 logger = logging.getLogger(__name__)
 
@@ -12,17 +13,10 @@ class Client(object):
     def analyse(self, input, method='GET', **kwargs):
         return self.request('/', method=method, input=input, **kwargs)
 
-    def evaluate(self, input, method='GET', **kwargs):
-        return self.request('/evaluate', method = method, input=input, **kwargs)
-
-    def plugins(self, *args, **kwargs):
-        resp = self.request(path='/plugins').plugins
+    def plugins(self, ptype=default_plugin_type):
+        resp = self.request(path='/plugins', plugin_type=ptype).plugins
         return {p.name: p for p in resp}
 
-    def datasets(self):
-        resp = self.request(path='/datasets').datasets
-        return {d.name: d for d in resp}
-
     def request(self, path=None, method='GET', **params):
         url = '{}{}'.format(self.endpoint, path)
         response = requests.request(method=method, url=url, params=params)

senpy/extensions.py

@@ -5,54 +5,56 @@ It orchestrates plugin (de)activation and analysis.
 from future import standard_library
 standard_library.install_aliases()
 
-from . import plugins, api
-from .plugins import Plugin, evaluate
-from .models import Error, AggregatedEvaluation
+from . import plugins
+from .plugins import SenpyPlugin
+from .models import Error, Entry, Results, from_string
 from .blueprints import api_blueprint, demo_blueprint, ns_blueprint
+from .api import API_PARAMS, NIF_PARAMS, parse_params
 
 from threading import Thread
-from functools import partial
+
 import os
 import copy
-import errno
+import fnmatch
+import inspect
+import sys
+import importlib
 import logging
-
-
-from . import gsitk_compat
+import traceback
+import yaml
+import subprocess
 
 logger = logging.getLogger(__name__)
 
 
+def log_subprocess_output(process):
+    for line in iter(process.stdout.readline, b''):
+        logger.info('%r', line)
+    for line in iter(process.stderr.readline, b''):
+        logger.error('%r', line)
+
+
 class Senpy(object):
     """ Default Senpy extension for Flask """
+
     def __init__(self,
                  app=None,
                  plugin_folder=".",
-                 data_folder=None,
                  default_plugins=False):
-
-        default_data = os.path.join(os.getcwd(), 'senpy_data')
-        self.data_folder = data_folder or os.environ.get('SENPY_DATA', default_data)
-        try:
-            os.makedirs(self.data_folder)
-        except OSError as e:
-            if e.errno == errno.EEXIST:
-                logger.debug('Data folder exists: {}'.format(self.data_folder))
-            else:  # pragma: no cover
-                raise
-
+        self.app = app
+        self._search_folders = set()
+        self._plugin_list = []
+        self._outdated = True
         self._default = None
-        self._plugins = {}
-        if plugin_folder:
-            self.add_folder(plugin_folder)
 
+        self.add_folder(plugin_folder)
         if default_plugins:
             self.add_folder('plugins', from_root=True)
         else:
             # Add only conversion plugins
             self.add_folder(os.path.join('plugins', 'conversion'),
                             from_root=True)
-        self.app = app
+
         if app is not None:
             self.init_app(app)
 
@@ -67,177 +69,131 @@ class Senpy(object):
         # otherwise fall back to the request context
         if hasattr(app, 'teardown_appcontext'):
             app.teardown_appcontext(self.teardown)
-        else:  # pragma: no cover
+        else:
             app.teardown_request(self.teardown)
         app.register_blueprint(api_blueprint, url_prefix="/api")
         app.register_blueprint(ns_blueprint, url_prefix="/ns")
         app.register_blueprint(demo_blueprint, url_prefix="/")
 
-    def add_plugin(self, plugin):
-        self._plugins[plugin.name.lower()] = plugin
-
-    def delete_plugin(self, plugin):
-        del self._plugins[plugin.name.lower()]
-
-    def plugins(self, **kwargs):
-        """ Return the plugins registered for a given application. Filtered by criteria  """
-        return list(plugins.pfilter(self._plugins, **kwargs))
-
-    def get_plugin(self, name, default=None):
-        if name == 'default':
-            return self.default_plugin
-        plugin = name.lower()
-        if plugin in self._plugins:
-            return self._plugins[plugin]
-
-        results = self.plugins(id='endpoint:plugins/{}'.format(name))
-
-        if not results:
-            return Error(message="Plugin not found", status=404)
-        return results[0]
-
-    @property
-    def analysis_plugins(self):
-        """ Return only the analysis plugins """
-        return self.plugins(plugin_type='analysisPlugin')
-
     def add_folder(self, folder, from_root=False):
-        """ Find plugins in this folder and add them to this instance """
         if from_root:
             folder = os.path.join(os.path.dirname(__file__), folder)
         logger.debug("Adding folder: %s", folder)
         if os.path.isdir(folder):
-            new_plugins = plugins.from_folder([folder],
-                                              data_folder=self.data_folder)
-            for plugin in new_plugins:
-                self.add_plugin(plugin)
+            self._search_folders.add(folder)
+            self._outdated = True
         else:
-            raise AttributeError("Not a folder or does not exist: %s", folder)
+            logger.debug("Not a folder: %s", folder)
 
-    def _get_plugins(self, request):
+    def _find_plugins(self, params):
         if not self.analysis_plugins:
             raise Error(
                 status=404,
                 message=("No plugins found."
                          " Please install one."))
-        algos = request.parameters.get('algorithm', None)
-        if not algos:
-            if self.default_plugin:
-                algos = [self.default_plugin.name, ]
-            else:
-                raise Error(
-                    status=404,
-                    message="No default plugin found, and None provided")
+        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:
+            raise Error(
+                status=404,
+                message="No default plugin found, and None provided")
 
         plugins = list()
         for algo in algos:
-            algo = algo.lower()
-            if algo not in self._plugins:
-                msg = ("The algorithm '{}' is not valid\n"
-                       "Valid algorithms: {}").format(algo,
-                                                      self._plugins.keys())
-                logger.debug(msg)
+            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=msg)
-            plugins.append(self._plugins[algo])
+                    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))
+            plugins.append(self.plugins[algo])
         return plugins
 
-    def _process_entries(self, entries, req, plugins):
-        """
-        Recursively process the entries with the first plugin in the list, and pass the results
-        to the rest of the plugins.
-        """
+    def _get_params(self, params, plugin=None):
+        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)
+        return nif_params
+
+    def _get_entries(self, params):
+        if params['informat'] == 'text':
+            results = Results()
+            entry = Entry(text=params['input'])
+            results.entries.append(entry)
+        elif params['informat'] == 'json-ld':
+            results = from_string(params['input'], cls=Results)
+        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]
-        self._activate(plugin)  # Make sure the plugin is activated
-        specific_params = api.parse_extra_params(req, plugin)
-        req.analysis.append({'plugin': plugin,
-                             'parameters': specific_params})
+        specific_params = self._get_params(nif_params, plugin)
         results = plugin.analyse_entries(entries, specific_params)
-        for i in self._process_entries(results, req, plugins[1:]):
+        for i in self._process_entries(results, plugins[1:], nif_params):
             yield i
 
-    def install_deps(self):
-        plugins.install_deps(*self.plugins())
+    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
 
-    def analyse(self, request):
+    def analyse(self, **api_params):
         """
         Main method that analyses a request, either from CLI or HTTP.
-        It takes a processed request, provided by the user, as returned
-        by api.parse_call().
+        It uses a dictionary of parameters, provided by the user.
         """
-        logger.debug("analysing request: {}".format(request))
-        entries = request.entries
-        request.entries = []
-        plugins = self._get_plugins(request)
-        results = request
-        for i in self._process_entries(entries, results, plugins):
-            results.entries.append(i)
-        self.convert_emotions(results)
-        logger.debug("Returning analysis result: {}".format(results))
-        results.analysis = [i['plugin'].id for i in results.analysis]
-        return results
-
-    def _get_datasets(self, request):
-        if not self.datasets:
-            raise Error(
-                status=404,
-                message=("No datasets found."
-                         " Please verify DatasetManager"))
-        datasets_name = request.parameters.get('dataset', None).split(',')
-        for dataset in datasets_name:
-            if dataset not in self.datasets:
-                logger.debug(("The dataset '{}' is not valid\n"
-                              "Valid datasets: {}").format(dataset,
-                                                           self.datasets.keys()))
-                raise Error(
-                    status=404,
-                    message="The dataset '{}' is not valid".format(dataset))
-        dm = gsitk_compat.DatasetManager()
-        datasets = dm.prepare_datasets(datasets_name)
-        return datasets
-
-    @property
-    def datasets(self):
-        self._dataset_list = {}
-        dm = gsitk_compat.DatasetManager()
-        for item in dm.get_datasets():
-            for key in item:
-                if key in self._dataset_list:
-                    continue
-                properties = item[key]
-                properties['@id'] = key
-                self._dataset_list[key] = properties
-        return self._dataset_list
-
-    def evaluate(self, params):
-        logger.debug("evaluating request: {}".format(params))
-        results = AggregatedEvaluation()
-        results.parameters = params
-        datasets = self._get_datasets(results)
-        plugins = self._get_plugins(results)
-        for eval in evaluate(plugins, datasets):
-            results.evaluations.append(eval)
-        if 'with_parameters' not in results.parameters:
-            del results.parameters
-        logger.debug("Returning evaluation result: {}".format(results))
-        return results
+        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)
+        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)
+            logger.debug("Returning analysis result: {}".format(resp))
+        except (Error, Exception) as ex:
+            if not isinstance(ex, Error):
+                ex = Error(message=str(ex), status=500)
+            logger.exception('Error returning analysis result')
+            raise ex
+        return resp
 
     def _conversion_candidates(self, fromModel, toModel):
-        candidates = self.plugins(plugin_type='emotionConversionPlugin')
-        for candidate in candidates:
+        candidates = self.filter_plugins(plugin_type='emotionConversionPlugin')
+        for name, candidate in candidates.items():
             for pair in candidate.onyx__doesConversion:
                 logging.debug(pair)
 
                 if pair['onyx:conversionFrom'] == fromModel \
                    and pair['onyx:conversionTo'] == toModel:
+                    # logging.debug('Found candidate: {}'.format(candidate))
                     yield candidate
 
-    def convert_emotions(self, resp):
+    def convert_emotions(self, resp, plugins, params):
         """
         Conversion of all emotions in a response **in place**.
         In addition to converting from one model to another, it has
@@ -245,8 +201,6 @@ class Senpy(object):
         Needless to say, this is far from an elegant solution, but it works.
         @todo refactor and clean up
         """
-        plugins = [i['plugin'] for i in resp.analysis]
-        params = resp.parameters
         toModel = params.get('emotionModel', None)
         if not toModel:
             return
@@ -261,8 +215,7 @@ class Senpy(object):
                 logger.debug('Analysis plugin {} uses model: {}'.format(plugin.id, fromModel))
             except StopIteration:
                 e = Error(('No conversion plugin found for: '
-                           '{} -> {}'.format(fromModel, toModel)),
-                          status=404)
+                           '{} -> {}'.format(fromModel, toModel)))
                 e.original_response = resp
                 e.parameters = params
                 raise e
@@ -275,8 +228,7 @@ class Senpy(object):
             for j in i.emotions:
                 plugname = j['prov:wasGeneratedBy']
                 candidate = candidates[plugname]
-                resp.analysis.append({'plugin': candidate,
-                                      'parameters': params})
+                resp.analysis.append(candidate.id)
                 for k in candidate.convert(j, fromModel, toModel, params):
                     k.prov__wasGeneratedBy = candidate.id
                     if output == 'nested':
@@ -285,102 +237,191 @@ class Senpy(object):
             i.emotions = newemotions
             newentries.append(i)
         resp.entries = newentries
+        resp.analysis = list(set(resp.analysis))
 
     @property
     def default_plugin(self):
-        if not self._default or not self._default.is_activated:
-            candidates = self.plugins(plugin_type='analysisPlugin',
-                                      is_activated=True)
+        candidate = self._default
+        if not candidate:
+            candidates = self.filter_plugins(plugin_type='analysisPlugin',
+                                             is_activated=True)
             if len(candidates) > 0:
-                self._default = candidates[0]
-            else:
-                self._default = None
-            logger.debug("Default: {}".format(self._default))
-        return self._default
+                candidate = list(candidates.values())[0]
+        logger.debug("Default: {}".format(candidate))
+        return candidate
 
     @default_plugin.setter
     def default_plugin(self, value):
-        if isinstance(value, Plugin):
-            if not value.is_activated:
-                raise AttributeError('The default plugin has to be activated.')
+        if isinstance(value, SenpyPlugin):
             self._default = value
-
         else:
-            self._default = self._plugins[value.lower()]
+            self._default = self.plugins[value]
 
-    def activate_all(self, sync=True, allow_fail=False):
+    def activate_all(self, sync=False):
         ps = []
-        for plug in self._plugins.keys():
-            try:
-                self.activate_plugin(plug, sync=sync)
-            except Exception as ex:
-                if not allow_fail:
-                    raise
-                logger.error('Could not activate {}: {}'.format(plug, ex))
+        for plug in self.plugins.keys():
+            ps.append(self.activate_plugin(plug, sync=sync))
         return ps
 
-    def deactivate_all(self, sync=True):
+    def deactivate_all(self, sync=False):
         ps = []
-        for plug in self._plugins.keys():
+        for plug in self.plugins.keys():
             ps.append(self.deactivate_plugin(plug, sync=sync))
         return ps
 
-    def _set_active(self, plugin, active=True, *args, **kwargs):
-        ''' We're using a variable in the plugin itself to activate/deactivate plugins.\
+    def _set_active_plugin(self, plugin_name, active=True, *args, **kwargs):
+        ''' We're using a variable in the plugin itself to activate/deactive plugins.\
         Note that plugins may activate themselves by setting this variable.
         '''
-        plugin.is_activated = active
+        self.plugins[plugin_name].is_activated = active
 
-    def _activate(self, plugin):
-        success = False
-        with plugin._lock:
-            if plugin.is_activated:
-                return
-            plugin.activate()
-            msg = "Plugin activated: {}".format(plugin.name)
-            logger.info(msg)
-            success = True
-            self._set_active(plugin, success)
-        return success
-
-    def activate_plugin(self, plugin_name, sync=True):
-        plugin_name = plugin_name.lower()
-        if plugin_name not in self._plugins:
+    def activate_plugin(self, plugin_name, sync=False):
+        try:
+            plugin = self.plugins[plugin_name]
+        except KeyError:
             raise Error(
                 message="Plugin not found: {}".format(plugin_name), status=404)
-        plugin = self._plugins[plugin_name]
 
         logger.info("Activating plugin: {}".format(plugin.name))
 
+        def act():
+            success = False
+            try:
+                plugin.activate()
+                msg = "Plugin activated: {}".format(plugin.name)
+                logger.info(msg)
+                success = True
+                self._set_active_plugin(plugin_name, success)
+            except Exception as ex:
+                msg = "Error activating plugin {} - {} : \n\t{}".format(
+                    plugin.name, ex, traceback.format_exc())
+                logger.error(msg)
+                raise Error(msg)
+
         if sync or 'async' in plugin and not plugin.async:
-            return self._activate(plugin)
+            act()
         else:
-            th = Thread(target=partial(self._activate, plugin))
+            th = Thread(target=act)
             th.start()
             return th
 
-    def _deactivate(self, plugin):
-        with plugin._lock:
-            if not plugin.is_activated:
-                return
-            plugin.deactivate()
-            logger.info("Plugin deactivated: {}".format(plugin.name))
-
-    def deactivate_plugin(self, plugin_name, sync=True):
-        plugin_name = plugin_name.lower()
-        if plugin_name not in self._plugins:
+    def deactivate_plugin(self, plugin_name, sync=False):
+        try:
+            plugin = self.plugins[plugin_name]
+        except KeyError:
             raise Error(
                 message="Plugin not found: {}".format(plugin_name), status=404)
-        plugin = self._plugins[plugin_name]
 
-        self._set_active(plugin, False)
+        self._set_active_plugin(plugin_name, False)
+
+        def deact():
+            try:
+                plugin.deactivate()
+                logger.info("Plugin deactivated: {}".format(plugin.name))
+            except Exception as ex:
+                logger.error(
+                    "Error deactivating plugin {}: {}".format(plugin.name, ex))
+                logger.error("Trace: {}".format(traceback.format_exc()))
 
         if sync or 'async' in plugin and not plugin.async:
-            self._deactivate(plugin)
+            deact()
         else:
-            th = Thread(target=partial(self._deactivate, plugin))
+            th = Thread(target=deact)
             th.start()
             return th
 
+    @classmethod
+    def validate_info(cls, info):
+        return all(x in info for x in ('name', 'module', 'description', 'version'))
+
+    def install_deps(self):
+        for i in self.plugins.values():
+            self._install_deps(i)
+
+    @classmethod
+    def _install_deps(cls, info=None):
+        requirements = info.get('requirements', [])
+        if requirements:
+            pip_args = ['pip']
+            pip_args.append('install')
+            pip_args.append('--use-wheel')
+            for req in requirements:
+                pip_args.append(req)
+            logger.info('Installing requirements: ' + str(requirements))
+            process = subprocess.Popen(pip_args,
+                                       stdout=subprocess.PIPE,
+                                       stderr=subprocess.PIPE)
+            log_subprocess_output(process)
+            exitcode = process.wait()
+            if exitcode != 0:
+                raise Error("Dependencies not properly installed")
+
+    @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):
+            logger.warn('The module info is not valid.\n\t{}'.format(info))
+            return None, None
+        module = info["module"]
+        name = info["name"]
+
+        cls._install_deps(info)
+        tmp = cls._load_module(module, root)
+
+        candidate = None
+        for _, obj in inspect.getmembers(tmp):
+            if inspect.isclass(obj) and inspect.getmodule(obj) == tmp:
+                logger.debug(("Found plugin class:"
+                              " {}@{}").format(obj, inspect.getmodule(obj)))
+                candidate = obj
+                break
+        if not candidate:
+            logger.debug("No valid plugin for: {}".format(module))
+            return
+        module = candidate(info=info)
+        return name, module
+
+    @classmethod
+    def _load_plugin(cls, root, filename):
+        fpath = os.path.join(root, filename)
+        logger.debug("Loading plugin: {}".format(fpath))
+        with open(fpath, 'r') as f:
+            info = yaml.load(f)
+        logger.debug("Info: {}".format(info))
+        return cls._load_plugin_from_info(info, root)
+
+    def _load_plugins(self):
+        plugins = {}
+        for search_folder in self._search_folders:
+            for root, dirnames, filenames in os.walk(search_folder):
+                for filename in fnmatch.filter(filenames, '*.senpy'):
+                    name, plugin = self._load_plugin(root, filename)
+                    if plugin and name:
+                        plugins[name] = plugin
+
+        self._outdated = False
+        return plugins
+
     def teardown(self, exception):
         pass
+
+    @property
+    def plugins(self):
+        """ Return the plugins registered for a given application.  """
+        if self._outdated:
+            self._plugin_list = self._load_plugins()
+        return self._plugin_list
+
+    def filter_plugins(self, **kwargs):
+        return plugins.pfilter(self.plugins, **kwargs)
+
+    @property
+    def analysis_plugins(self):
+        """ Return only the analysis plugins """
+        return self.filter_plugins(plugin_type='analysisPlugin')

senpy/gsitk_compat.py

@@ -1,23 +0,0 @@
-import logging
-
-logger = logging.getLogger(__name__)
-
-MSG = 'GSITK is not (properly) installed.'
-IMPORTMSG = '{} Some functions will be unavailable.'.format(MSG)
-RUNMSG = '{} Install it to use this function.'.format(MSG)
-
-
-def raise_exception(*args, **kwargs):
-    raise Exception(RUNMSG)
-
-
-try:
-    from gsitk.datasets.datasets import DatasetManager
-    from gsitk.evaluation.evaluation import Evaluation as Eval
-    from sklearn.pipeline import Pipeline
-    GSITK_AVAILABLE = True
-    modules = locals()
-except ImportError:
-    logger.warn(IMPORTMSG)
-    GSITK_AVAILABLE = False
-    DatasetManager = Eval = Pipeline = raise_exception

senpy/meta.py

@@ -1,257 +0,0 @@
-'''
-Meta-programming for the models.
-'''
-import os
-import json
-import jsonschema
-import inspect
-import copy
-
-from abc import ABCMeta
-from collections import MutableMapping, namedtuple
-
-
-class BaseMeta(ABCMeta):
-    '''
-    Metaclass for models. It extracts the default values for the fields in
-    the model.
-
-    For instance, instances of the following class wouldn't need to mark
-    their version or description on initialization:
-
-    .. code-block:: python
-
-       class MyPlugin(Plugin):
-           version=0.3
-           description='A dull plugin'
-
-
-    Note that these operations could be included in the __init__ of the
-    class, but it would be very inefficient.
-    '''
-    _subtypes = {}
-
-    def __new__(mcs, name, bases, attrs, **kwargs):
-        register_afterwards = False
-        defaults = {}
-
-        attrs = mcs.expand_with_schema(name, attrs)
-        if 'schema' in attrs:
-            register_afterwards = True
-        for base in bases:
-            if hasattr(base, '_defaults'):
-                defaults.update(getattr(base, '_defaults'))
-
-        info, rest = mcs.split_attrs(attrs)
-
-        for i in list(info.keys()):
-            if isinstance(info[i], _Alias):
-                fget, fset, fdel = make_property(info[i].indict)
-                rest[i] = property(fget=fget, fset=fset, fdel=fdel)
-            else:
-                defaults[i] = info[i]
-
-        rest['_defaults'] = defaults
-
-        cls = super(BaseMeta, mcs).__new__(mcs, name, tuple(bases), rest)
-
-        if register_afterwards:
-            mcs.register(cls, defaults['@type'])
-        return cls
-
-    @classmethod
-    def register(mcs, rsubclass, rtype=None):
-        mcs._subtypes[rtype or rsubclass.__name__] = rsubclass
-
-    @staticmethod
-    def expand_with_schema(name, attrs):
-        if 'schema' in attrs:  # Schema specified by name
-            schema_file = '{}.json'.format(attrs['schema'])
-        elif 'schema_file' in attrs:
-            schema_file = attrs['schema_file']
-            del attrs['schema_file']
-        else:
-            return attrs
-
-        if '/' not in 'schema_file':
-            thisdir = os.path.dirname(os.path.realpath(__file__))
-            schema_file = os.path.join(thisdir,
-                                       'schemas',
-                                       schema_file)
-
-        schema_path = 'file://' + schema_file
-
-        with open(schema_file) as f:
-            schema = json.load(f)
-
-        resolver = jsonschema.RefResolver(schema_path, schema)
-        attrs['@type'] = "".join((name[0].lower(), name[1:]))
-        attrs['_schema_file'] = schema_file
-        attrs['schema'] = schema
-        attrs['_validator'] = jsonschema.Draft4Validator(schema, resolver=resolver)
-
-        schema_defaults = BaseMeta.get_defaults(attrs['schema'])
-        attrs.update(schema_defaults)
-
-        return attrs
-
-    @staticmethod
-    def is_func(v):
-        return inspect.isroutine(v) or inspect.ismethod(v) or \
-            inspect.ismodule(v) or isinstance(v, property)
-
-    @staticmethod
-    def is_internal(k):
-        return k[0] == '_' or k == 'schema' or k == 'data'
-
-    @staticmethod
-    def get_key(key):
-        if key[0] != '_':
-            key = key.replace("__", ":", 1)
-        return key
-
-    @staticmethod
-    def split_attrs(attrs):
-        '''
-        Extract the attributes of the class.
-
-        This allows adding default values in the class definition.
-        e.g.:
-        '''
-        isattr = {}
-        rest = {}
-        for key, value in attrs.items():
-            if not (BaseMeta.is_internal(key)) and (not BaseMeta.is_func(value)):
-                isattr[key] = value
-            else:
-                rest[key] = value
-        return isattr, rest
-
-    @staticmethod
-    def get_defaults(schema):
-        temp = {}
-        for obj in [
-                schema,
-        ] + schema.get('allOf', []):
-            for k, v in obj.get('properties', {}).items():
-                if 'default' in v and k not in temp:
-                    temp[k] = v['default']
-        return temp
-
-
-def make_property(key):
-
-    def fget(self):
-        return self[key]
-
-    def fdel(self):
-        del self[key]
-
-    def fset(self, value):
-        self[key] = value
-
-    return fget, fset, fdel
-
-
-class CustomDict(MutableMapping, object):
-    '''
-    A dictionary whose elements can also be accessed as attributes. Since some
-    characters are not valid in the dot-notation, the attribute names also
-    converted. e.g.:
-
-    > d = CustomDict()
-    > d.key = d['ns:name'] = 1
-    > d.key == d['key']
-    True
-    > d.ns__name == d['ns:name']
-    '''
-
-    _defaults = {}
-    _map_attr_key = {'id': '@id'}
-
-    def __init__(self, *args, **kwargs):
-        super(CustomDict, self).__init__()
-        for k, v in self._defaults.items():
-            self[k] = copy.copy(v)
-        for arg in args:
-            self.update(arg)
-        for k, v in kwargs.items():
-            self[self._attr_to_key(k)] = v
-        return self
-
-    def serializable(self):
-        def ser_or_down(item):
-            if hasattr(item, 'serializable'):
-                return item.serializable()
-            elif isinstance(item, dict):
-                temp = dict()
-                for kp in item:
-                    vp = item[kp]
-                    temp[kp] = ser_or_down(vp)
-                return temp
-            elif isinstance(item, list) or isinstance(item, set):
-                return list(ser_or_down(i) for i in item)
-            else:
-                return item
-
-        return ser_or_down(self.as_dict())
-
-    def __getitem__(self, key):
-        key = self._key_to_attr(key)
-        return self.__dict__[key]
-
-    def __setitem__(self, key, value):
-        '''Do not insert data directly, there might be a property in that key. '''
-        key = self._key_to_attr(key)
-        return setattr(self, key, value)
-
-    def as_dict(self):
-        return {self._attr_to_key(k): v for k, v in self.__dict__.items()
-                if not self._internal_key(k)}
-
-    def __iter__(self):
-        return (k for k in self.__dict__ if not self._internal_key(k))
-
-    def __len__(self):
-        return len(self.__dict__)
-
-    def __delitem__(self, key):
-        del self.__dict__[key]
-
-    def update(self, other):
-        for k, v in other.items():
-            self[k] = v
-
-    def _attr_to_key(self, key):
-        key = key.replace("__", ":", 1)
-        key = self._map_attr_key.get(key, key)
-        return key
-
-    def _key_to_attr(self, key):
-        if self._internal_key(key):
-            return key
-        key = key.replace(":", "__", 1)
-        return key
-
-    def __getattr__(self, key):
-        try:
-            return self.__dict__[self._attr_to_key(key)]
-        except KeyError:
-            raise AttributeError
-
-    @staticmethod
-    def _internal_key(key):
-        return key[0] == '_'
-
-    def __str__(self):
-        return str(self.serializable())
-
-    def __repr__(self):
-        return str(self.serializable())
-
-
-_Alias = namedtuple('Alias', 'indict')
-
-
-def alias(key):
-    return _Alias(key)

senpy/models.py

@@ -6,29 +6,23 @@ For compatibility with Py3 and for easier debugging, this new version drops
 introspection and adds all arguments to the models.
 '''
 from __future__ import print_function
-from future import standard_library
-standard_library.install_aliases()
-
-from future.utils import with_metaclass
-from past.builtins import basestring
+from six import string_types
 
 import time
 import copy
 import json
 import os
 import jsonref
+import jsonschema
+
 from flask import Response as FlaskResponse
 from pyld import jsonld
 
-import logging
-
-logging.getLogger('rdflib').setLevel(logging.WARN)
-logger = logging.getLogger(__name__)
-
 from rdflib import Graph
 
+import logging
 
-from .meta import BaseMeta, CustomDict, alias
+logger = logging.getLogger(__name__)
 
 DEFINITIONS_FILE = 'definitions.json'
 CONTEXT_PATH = os.path.join(
@@ -51,102 +45,40 @@ def read_schema(schema_file, absolute=False):
         return jsonref.load(f, base_uri=schema_uri)
 
 
-def dump_schema(schema):
-    return jsonref.dumps(schema)
+base_schema = read_schema(DEFINITIONS_FILE)
 
 
-def load_context(context):
-    logging.debug('Loading context: {}'.format(context))
-    if not context:
-        return context
-    elif isinstance(context, list):
-        contexts = []
-        for c in context:
-            contexts.append(load_context(c))
-        return contexts
-    elif isinstance(context, dict):
-        return dict(context)
-    elif isinstance(context, basestring):
-        try:
-            with open(context) as f:
-                return dict(json.loads(f.read()))
-        except IOError:
+class Context(dict):
+    @staticmethod
+    def load(context):
+        logging.debug('Loading context: {}'.format(context))
+        if not context:
             return context
-    else:
-        raise AttributeError('Please, provide a valid context')
+        elif isinstance(context, list):
+            contexts = []
+            for c in context:
+                contexts.append(Context.load(c))
+            return contexts
+        elif isinstance(context, dict):
+            return Context(context)
+        elif isinstance(context, string_types):
+            try:
+                with open(context) as f:
+                    return Context(json.loads(f.read()))
+            except IOError:
+                return context
+        else:
+            raise AttributeError('Please, provide a valid context')
 
 
-base_context = load_context(CONTEXT_PATH)
+base_context = Context.load(CONTEXT_PATH)
 
 
-def register(rsubclass, rtype=None):
-    BaseMeta.register(rsubclass, rtype)
-
-
-class BaseModel(with_metaclass(BaseMeta, CustomDict)):
-    '''
-    Entities of the base model are a special kind of dictionary that emulates
-    a JSON-LD object. The structure of the dictionary is checked via JSON-schema.
-    For convenience, the values can also be accessed as attributes
-    (a la Javascript). e.g.:
-
-    >>> myobject.key == myobject['key']
-    True
-    >>> myobject.ns__name == myobject['ns:name']
-    True
-
-    Additionally, subclasses of this class can specify default values for their
-    instances. These defaults are inherited by subclasses. e.g.:
-
-    >>> class NewModel(BaseModel):
-    ...     mydefault = 5
-    >>> n1 = NewModel()
-    >>> n1['mydefault'] == 5
-    True
-    >>> n1.mydefault = 3
-    >>> n1['mydefault'] = 3
-    True
-    >>> n2 = NewModel()
-    >>> n2 == 5
-    True
-    >>> class SubModel(NewModel):
-            pass
-    >>> subn = SubModel()
-    >>> subn.mydefault == 5
-    True
-
-    Lastly, every subclass that also specifies a schema will get registered, so it
-    is possible to deserialize JSON and get the right type.
-    i.e. to recover an instance of the original class from a plain JSON.
-
-    '''
-
-    schema_file = DEFINITIONS_FILE
+class SenpyMixin(object):
     _context = base_context["@context"]
 
-    def __init__(self, *args, **kwargs):
-        auto_id = kwargs.pop('_auto_id', True)
-
-        super(BaseModel, self).__init__(*args, **kwargs)
-
-        if auto_id:
-            self.id
-
-        if '@type' not in self:
-            logger.warn('Created an instance of an unknown model')
-
-    @property
-    def id(self):
-        if '@id' not in self:
-            self['@id'] = '_:{}_{}'.format(type(self).__name__, time.time())
-        return self['@id']
-
-    @id.setter
-    def id(self, value):
-        self['@id'] = value
-
     def flask(self,
-              in_headers=False,
+              in_headers=True,
               headers=None,
               outformat='json-ld',
               **kwargs):
@@ -170,28 +102,26 @@ class BaseModel(with_metaclass(BaseMeta, CustomDict)):
             })
         return FlaskResponse(
             response=content,
-            status=self.get('status', 200),
+            status=getattr(self, "status", 200),
             headers=headers,
             mimetype=mimetype)
 
     def serialize(self, format='json-ld', with_mime=False, **kwargs):
         js = self.jsonld(**kwargs)
-        content = json.dumps(js, indent=2, sort_keys=True)
         if format == 'json-ld':
+            content = json.dumps(js, indent=2, sort_keys=True)
             mimetype = "application/json"
-        elif format in ['turtle', 'ntriples']:
+        elif format in ['turtle', ]:
             logger.debug(js)
-            base = kwargs.get('prefix')
+            content = json.dumps(js, indent=2, sort_keys=True)
             g = Graph().parse(
                 data=content,
                 format='json-ld',
-                base=base,
-                context=[self._context,
-                         {'@base': base}])
+                base=kwargs.get('prefix'),
+                context=self._context)
             logger.debug(
                 'Parsing with prefix: {}'.format(kwargs.get('prefix')))
-            content = g.serialize(format=format,
-                                  base=base).decode('utf-8')
+            content = g.serialize(format='turtle').decode('utf-8')
             mimetype = 'text/{}'.format(format)
         else:
             raise Error('Unknown outformat: {}'.format(format))
@@ -200,53 +130,142 @@ class BaseModel(with_metaclass(BaseMeta, CustomDict)):
         else:
             return content
 
+    def serializable(self):
+        def ser_or_down(item):
+            if hasattr(item, 'serializable'):
+                return item.serializable()
+            elif isinstance(item, dict):
+                temp = dict()
+                for kp in item:
+                    vp = item[kp]
+                    temp[kp] = ser_or_down(vp)
+                return temp
+            elif isinstance(item, list):
+                return list(ser_or_down(i) for i in item)
+            else:
+                return item
+
+        return ser_or_down(self._plain_dict())
+
     def jsonld(self,
-               with_context=False,
+               with_context=True,
                context_uri=None,
                prefix=None,
                expanded=False):
+        ser = self.serializable()
 
-        result = self.serializable()
-
+        result = jsonld.compact(
+            ser,
+            self._context,
+            options={
+                'base': prefix,
+                'expandContext': self._context,
+                'senpy': prefix
+            })
+        if context_uri:
+            result['@context'] = context_uri
         if expanded:
             result = jsonld.expand(
                 result, options={'base': prefix,
-                                 'expandContext': self._context})[0]
+                                 'expandContext': self._context})
         if not with_context:
-            try:
-                del result['@context']
-            except KeyError:
-                pass
-        elif context_uri:
-            result['@context'] = context_uri
-        else:
-            result['@context'] = self._context
-
+            del result['@context']
         return result
 
+    def to_JSON(self, *args, **kwargs):
+        js = json.dumps(self.jsonld(*args, **kwargs), indent=4, sort_keys=True)
+        return js
+
     def validate(self, obj=None):
         if not obj:
             obj = self
         if hasattr(obj, "jsonld"):
             obj = obj.jsonld()
-        self._validator.validate(obj)
+        jsonschema.validate(obj, self.schema)
 
-    def prov(self, another):
-        self['prov:wasGeneratedBy'] = another.id
+    def __str__(self):
+        return str(self.to_JSON())
 
 
-def subtypes():
-    return BaseMeta._subtypes
+class BaseModel(SenpyMixin, dict):
+
+    schema = base_schema
+
+    def __init__(self, *args, **kwargs):
+        if 'id' in kwargs:
+            self.id = kwargs.pop('id')
+        elif kwargs.pop('_auto_id', True):
+            self.id = '_:{}_{}'.format(type(self).__name__, time.time())
+        temp = dict(*args, **kwargs)
+
+        for obj in [
+                self.schema,
+        ] + self.schema.get('allOf', []):
+            for k, v in obj.get('properties', {}).items():
+                if 'default' in v and k not in temp:
+                    temp[k] = copy.deepcopy(v['default'])
+
+        for i in temp:
+            nk = self._get_key(i)
+            if nk != i:
+                temp[nk] = temp[i]
+                del temp[i]
+        try:
+            temp['@type'] = getattr(self, '@type')
+        except AttributeError:
+            logger.warn('Creating an instance of an unknown model')
+
+        super(BaseModel, self).__init__(temp)
+
+    def _get_key(self, key):
+        key = key.replace("__", ":", 1)
+        return key
+
+    def __setitem__(self, key, value):
+        dict.__setitem__(self, key, value)
+
+    def __delitem__(self, key):
+        dict.__delitem__(self, key)
+
+    def __getattr__(self, key):
+        try:
+            return self.__getitem__(self._get_key(key))
+        except KeyError:
+            raise AttributeError(key)
+
+    def __setattr__(self, key, value):
+        self.__setitem__(self._get_key(key), value)
+
+    def __delattr__(self, key):
+        try:
+            object.__delattr__(self, key)
+        except AttributeError:
+            self.__delitem__(self._get_key(key))
+
+    def _plain_dict(self):
+        d = {k: v for (k, v) in self.items() if k[0] != "_"}
+        if 'id' in d:
+            d["@id"] = d.pop('id')
+        return d
+
+
+_subtypes = {}
+
+
+def register(rsubclass, rtype=None):
+    _subtypes[rtype or rsubclass.__name__] = rsubclass
 
 
 def from_dict(indict, cls=None):
     if not cls:
         target = indict.get('@type', None)
-        cls = BaseModel
         try:
-            cls = subtypes()[target]
-        except KeyError:
-            pass
+            if target and target in _subtypes:
+                cls = _subtypes[target]
+            else:
+                cls = BaseModel
+        except Exception:
+            cls = BaseModel
     outdict = dict()
     for k, v in indict.items():
         if k == '@context':
@@ -254,11 +273,10 @@ def from_dict(indict, cls=None):
         elif isinstance(v, dict):
             v = from_dict(indict[k])
         elif isinstance(v, list):
-            v = v[:]
             for ix, v2 in enumerate(v):
                 if isinstance(v2, dict):
                     v[ix] = from_dict(v2)
-        outdict[k] = copy.copy(v)
+        outdict[k] = v
     return cls(**outdict)
 
 
@@ -271,63 +289,27 @@ def from_json(injson):
     return from_dict(indict)
 
 
-class Entry(BaseModel):
-    schema = 'entry'
-
-    text = alias('nif:isString')
-
-
-class Sentiment(BaseModel):
-    schema = 'sentiment'
-
-    polarity = alias('marl:hasPolarity')
-    polarityValue = alias('marl:hasPolarityValue')
-
-
-class Error(BaseModel, Exception):
-    schema = 'error'
-
-    def __init__(self, message='Generic senpy exception', *args, **kwargs):
-        Exception.__init__(self, message)
-        super(Error, self).__init__(*args, **kwargs)
-        self.message = message
-
-    def __str__(self):
-        if not hasattr(self, 'errors'):
-            return self.message
-        return '{}:\n\t{}'.format(self.message, self.errors)
-
-    def __hash__(self):
-        return Exception.__hash__(self)
-
-
-# Add the remaining schemas programmatically
-
-def _class_from_schema(name, schema=None, schema_file=None, base_classes=None):
+def from_schema(name, schema_file=None, base_classes=None):
     base_classes = base_classes or []
     base_classes.append(BaseModel)
-    attrs = {}
-    if schema:
-        attrs['schema'] = schema
-    elif schema_file:
-        attrs['schema_file'] = schema_file
-    else:
-        attrs['schema'] = name
-    name = "".join((name[0].upper(), name[1:]))
-    return BaseMeta(name, base_classes, attrs)
+    schema_file = schema_file or '{}.json'.format(name)
+    class_name = '{}{}'.format(name[0].upper(), name[1:])
+    newclass = type(class_name, tuple(base_classes), {})
+    setattr(newclass, '@type', name)
+    setattr(newclass, 'schema', read_schema(schema_file))
+    setattr(newclass, 'class_name', class_name)
+    register(newclass, name)
+    return newclass
 
 
-def _add_class_from_schema(*args, **kwargs):
-    generatedClass = _class_from_schema(*args, **kwargs)
+def _add_from_schema(*args, **kwargs):
+    generatedClass = from_schema(*args, **kwargs)
     globals()[generatedClass.__name__] = generatedClass
     del generatedClass
 
 
 for i in [
-        'aggregatedEvaluation',
         'analysis',
-        'dataset',
-        'datasets',
         'emotion',
         'emotionConversion',
         'emotionConversionPlugin',
@@ -335,17 +317,51 @@ for i in [
         'emotionModel',
         'emotionPlugin',
         'emotionSet',
-        'evaluation',
-        'entity',
-        'help',
-        'metric',
+        'entry',
         'plugin',
         'plugins',
         'response',
         'results',
+        'sentiment',
         'sentimentPlugin',
         'suggestion',
-        'topic',
-
 ]:
-    _add_class_from_schema(i)
+    _add_from_schema(i)
+
+_ErrorModel = from_schema('error')
+
+
+class Error(SenpyMixin, Exception):
+    def __init__(self, message, *args, **kwargs):
+        super(Error, self).__init__(self, message, message)
+        self._error = _ErrorModel(message=message, *args, **kwargs)
+        self.message = message
+
+    def __getitem__(self, key):
+        return self._error[key]
+
+    def __setitem__(self, key, value):
+        self._error[key] = value
+
+    def __delitem__(self, key):
+        del self._error[key]
+
+    def __getattr__(self, key):
+        if key != '_error' and hasattr(self._error, key):
+            return getattr(self._error, key)
+        raise AttributeError(key)
+
+    def __setattr__(self, key, value):
+        if key != '_error':
+            return setattr(self._error, key, value)
+        else:
+            super(Error, self).__setattr__(key, value)
+
+    def __delattr__(self, key):
+        delattr(self._error, key)
+
+    def __str__(self):
+        return str(self.to_JSON(with_context=False))
+
+
+register(Error, 'error')

senpy/plugins/__init__.py

@@ -1,123 +1,32 @@
 from future import standard_library
 standard_library.install_aliases()
 
-
-from future.utils import with_metaclass
-from functools import partial
-
+import inspect
 import os.path
 import os
-import re
 import pickle
 import logging
+import tempfile
 import copy
-import pprint
-
-import inspect
-import sys
-import subprocess
-import importlib
-import yaml
-import threading
-import nltk
-
-from .. import models, utils
-from .. import api
-from .. import gsitk_compat
-
+from .. import models
+from ..api import API_PARAMS
 
 logger = logging.getLogger(__name__)
 
 
-class PluginMeta(models.BaseMeta):
-    _classes = {}
-
-    def __new__(mcs, name, bases, attrs, **kwargs):
-        plugin_type = []
-        if hasattr(bases[0], 'plugin_type'):
-            plugin_type += bases[0].plugin_type
-        plugin_type.append(name)
-        alias = attrs.get('name', name)
-        attrs['plugin_type'] = plugin_type
-        attrs['name'] = alias
-        if 'description' not in attrs:
-            doc = attrs.get('__doc__', None)
-            if doc:
-                attrs['description'] = doc
-            else:
-                logger.warn(('Plugin {} does not have a description. '
-                             'Please, add a short summary to help other developers').format(name))
-        cls = super(PluginMeta, mcs).__new__(mcs, name, bases, attrs)
-
-        if alias in mcs._classes:
-            if os.environ.get('SENPY_TESTING', ""):
-                raise Exception(('The type of plugin {} already exists. '
-                                'Please, choose a different name').format(name))
-            else:
-                logger.warn('Overloading plugin class: {}'.format(alias))
-        mcs._classes[alias] = cls
-        return cls
-
-    @classmethod
-    def for_type(cls, ptype):
-        return cls._classes[ptype]
-
-
-class Plugin(with_metaclass(PluginMeta, models.Plugin)):
-    '''
-    Base class for all plugins in senpy.
-    A plugin must provide at least these attributes:
-
-        - version
-        - description (or docstring)
-        - author
-
-    Additionally, they may provide a URL (url) of a repository or website.
-
-    '''
-
-    def __init__(self, info=None, data_folder=None, **kwargs):
+class Plugin(models.Plugin):
+    def __init__(self, info=None):
         """
         Provides a canonical name for plugins and serves as base for other
         kinds of plugins.
         """
+        if not info:
+            raise models.Error(message=("You need to provide configuration"
+                                        "information for the plugin."))
         logger.debug("Initialising {}".format(info))
-        super(Plugin, self).__init__(**kwargs)
-        if info:
-            self.update(info)
-        self.validate()
-        self.id = 'endpoint:plugins/{}_{}'.format(self['name'], self['version'])
+        id = 'plugins/{}_{}'.format(info['name'], info['version'])
+        super(Plugin, self).__init__(id=id, **info)
         self.is_activated = False
-        self._lock = threading.Lock()
-        self._directory = os.path.abspath(os.path.dirname(inspect.getfile(self.__class__)))
-
-        data_folder = data_folder or os.getcwd()
-        subdir = os.path.join(data_folder, self.name)
-
-        self._data_paths = [
-            data_folder,
-            subdir,
-            self._directory,
-            os.path.join(self._directory, 'data'),
-        ]
-
-        if os.path.exists(subdir):
-            data_folder = subdir
-        self.data_folder = data_folder
-
-        self._log = logging.getLogger('{}.{}'.format(__name__, self.name))
-
-    @property
-    def log(self):
-        return self._log
-
-    def validate(self):
-        missing = []
-        for x in ['name', 'description', 'version']:
-            if x not in self:
-                missing.append(x)
-        if missing:
-            raise models.Error('Missing configuration parameters: {}'.format(missing))
 
     def get_folder(self):
         return os.path.dirname(inspect.getfile(self.__class__))
@@ -128,74 +37,15 @@ class Plugin(with_metaclass(PluginMeta, models.Plugin)):
     def deactivate(self):
         pass
 
-    def test(self, test_cases=None):
-        if not test_cases:
-            if not hasattr(self, 'test_cases'):
-                raise AttributeError(('Plugin {} [{}] does not have any defined '
-                                      'test cases').format(self.id,
-                                                           inspect.getfile(self.__class__)))
-            test_cases = self.test_cases
-        for case in test_cases:
-            try:
-                self.test_case(case)
-                self.log.debug('Test case passed:\n{}'.format(pprint.pformat(case)))
-            except Exception as ex:
-                self.log.warn('Test case failed:\n{}'.format(pprint.pformat(case)))
-                raise
 
-    def test_case(self, case):
-        entry = models.Entry(case['entry'])
-        given_parameters = case.get('params', case.get('parameters', {}))
-        expected = case.get('expected', None)
-        should_fail = case.get('should_fail', False)
-        try:
-            params = api.parse_params(given_parameters, self.extra_params)
-            res = list(self.analyse_entries([entry, ], params))
-
-            if not isinstance(expected, list):
-                expected = [expected]
-            utils.check_template(res, expected)
-            for r in res:
-                r.validate()
-        except models.Error:
-            if should_fail:
-                return
-            raise
-        assert not should_fail
-
-    def find_file(self, fname):
-        for p in self._data_paths:
-            alternative = os.path.join(p, fname)
-            if os.path.exists(alternative):
-                return alternative
-        raise IOError('File does not exist: {}'.format(fname))
-
-    def open(self, fpath, mode='r'):
-        if 'w' in mode:
-            # When writing, only use absolute paths or data_folder
-            if not os.path.isabs(fpath):
-                fpath = os.path.join(self.data_folder, fpath)
-        else:
-            fpath = self.find_file(fpath)
-
-        return open(fpath, mode=mode)
-
-    def serve(self, debug=True, **kwargs):
-        utils.easy(plugin_list=[self, ], plugin_folder=None, debug=debug, **kwargs)
-
-
-# For backwards compatibility
 SenpyPlugin = Plugin
 
 
-class Analysis(Plugin):
-    '''
-    A subclass of Plugin that analyses text and provides an annotation.
-    '''
+class AnalysisPlugin(Plugin):
 
     def analyse(self, *args, **kwargs):
-        raise NotImplementedError(
-            'Your plugin should implement either analyse or analyse_entry')
+        raise NotImplemented(
+            'Your method should implement either analyse or analyse_entry')
 
     def analyse_entry(self, entry, parameters):
         """ An implemented plugin should override this method.
@@ -204,7 +54,7 @@ class Analysis(Plugin):
         Note that this method may yield an annotated entry or a list of
         entries (e.g. in a tokenizer)
         """
-        text = entry['nif:isString']
+        text = entry['text']
         params = copy.copy(parameters)
         params['input'] = text
         results = self.analyse(**params)
@@ -213,196 +63,43 @@ class Analysis(Plugin):
 
     def analyse_entries(self, entries, parameters):
         for entry in entries:
-            self.log.debug('Analysing entry with plugin {}: {}'.format(self, entry))
-            results = self.analyse_entry(entry, parameters)
-            if inspect.isgenerator(results):
-                for result in results:
-                    yield result
-            else:
-                yield results
-
-    def test_case(self, case):
-        if 'entry' not in case and 'input' in case:
-            entry = models.Entry(_auto_id=False)
-            entry.nif__isString = case['input']
-            case['entry'] = entry
-        super(Analysis, self).test_case(case)
+            logger.debug('Analysing entry with plugin {}: {}'.format(self, entry))
+            for result in self.analyse_entry(entry, parameters):
+                yield result
 
 
-AnalysisPlugin = Analysis
-
-
-class Conversion(Plugin):
-    '''
-    A subclass of Plugins that convert between different annotation models.
-    e.g. a conversion of emotion models, or normalization of sentiment values.
-    '''
+class ConversionPlugin(Plugin):
     pass
 
 
-ConversionPlugin = Conversion
+class SentimentPlugin(models.SentimentPlugin, AnalysisPlugin):
+    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 SentimentPlugin(Analysis, models.SentimentPlugin):
-    '''
-    Sentiment plugins provide sentiment annotation (using Marl)
-    '''
-    minPolarityValue = 0
-    maxPolarityValue = 1
-
-    def test_case(self, case):
-        if 'polarity' in case:
-            expected = case.get('expected', {})
-            s = models.Sentiment(_auto_id=False)
-            s.marl__hasPolarity = case['polarity']
-            if 'sentiments' not in expected:
-                expected['sentiments'] = []
-            expected['sentiments'].append(s)
-            case['expected'] = expected
-        super(SentimentPlugin, self).test_case(case)
+class EmotionPlugin(models.EmotionPlugin, AnalysisPlugin):
+    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 EmotionPlugin(Analysis, models.EmotionPlugin):
-    '''
-    Emotion plugins provide emotion annotation (using Onyx)
-    '''
-    minEmotionValue = 0
-    maxEmotionValue = 1
-
-
-class EmotionConversion(Conversion):
-    '''
-    A subclass of Conversion that converts emotion annotations using different models
-    '''
+class EmotionConversionPlugin(models.EmotionConversionPlugin, ConversionPlugin):
     pass
 
 
-EmotionConversionPlugin = EmotionConversion
-
-
-class Box(AnalysisPlugin):
-    '''
-    Black box plugins delegate analysis to a function.
-    The flow is like so:
-
-    .. code-block::
-
-                   entry --> input() --> predict_one() --> output() --> entry'
-
-
-    In other words: their ``input`` method convers a query (entry and a set of parameters) into
-    the input to the box method. The ``output`` method convers the results given by the box into
-    an entry that senpy can handle.
-    '''
-
-    def input(self, entry, params=None):
-        '''Transforms a query (entry+param) into an input for the black box'''
-        return entry
-
-    def output(self, output, entry=None, params=None):
-        '''Transforms the results of the black box into an entry'''
-        return output
-
-    def predict_one(self, input):
-        raise NotImplementedError('You should define the behavior of this plugin')
-
-    def analyse_entries(self, entries, params):
-        for entry in entries:
-            input = self.input(entry=entry, params=params)
-            results = self.predict_one(input=input)
-            yield self.output(output=results, entry=entry, params=params)
-
-    def fit(self, X=None, y=None):
-        return self
-
-    def transform(self, X):
-        return [self.predict_one(x) for x in X]
-
-    def predict(self, X):
-        return self.transform(X)
-
-    def fit_transform(self, X, y):
-        self.fit(X, y)
-        return self.transform(X)
-
-    def as_pipe(self):
-        pipe = gsitk_compat.Pipeline([('plugin', self)])
-        pipe.name = self.name
-        return pipe
-
-
-class TextBox(Box):
-    '''A black box plugin that takes only text as input'''
-
-    def input(self, entry, params):
-        entry = super(TextBox, self).input(entry, params)
-        return entry['nif:isString']
-
-
-class SentimentBox(TextBox, SentimentPlugin):
-    '''
-    A box plugin where the output is only a polarity label or a tuple (polarity, polarityValue)
-    '''
-
-    def output(self, output, entry, **kwargs):
-        s = models.Sentiment()
-        try:
-            label, value = output
-        except ValueError:
-            label, value = output, None
-        s.prov(self)
-        s.polarity = label
-        if value is not None:
-            s.polarityValue = value
-        entry.sentiments.append(s)
-        return entry
-
-
-class EmotionBox(TextBox, EmotionPlugin):
-    '''
-    A box plugin where the output is only an a tuple of emotion labels
-    '''
-
-    def output(self, output, entry, **kwargs):
-        if not isinstance(output, list):
-            output = [output]
-        s = models.EmotionSet()
-        entry.emotions.append(s)
-        for label in output:
-            e = models.Emotion(onyx__hasEmotionCategory=label)
-            s.append(e)
-        return entry
-
-
-class MappingMixin(object):
-
-    @property
-    def mappings(self):
-        return self._mappings
-
-    @mappings.setter
-    def mappings(self, value):
-        self._mappings = value
-
-    def output(self, output, entry, params):
-        output = self.mappings.get(output,
-                                   self.mappings.get('default', output))
-        return super(MappingMixin, self).output(output=output,
-                                                entry=entry,
-                                                params=params)
-
-
 class ShelfMixin(object):
     @property
     def sh(self):
         if not hasattr(self, '_sh') or self._sh is None:
-            self._sh = {}
+            self.__dict__['_sh'] = {}
             if os.path.isfile(self.shelf_file):
                 try:
-                    with self.open(self.shelf_file, 'rb') as p:
-                        self._sh = pickle.load(p)
+                    self.__dict__['_sh'] = pickle.load(open(self.shelf_file, 'rb'))
                 except (IndexError, EOFError, pickle.UnpicklingError):
-                    self.log.warning('Corrupted shelf file: {}'.format(self.shelf_file))
+                    logger.warning('{} has a corrupted shelf file!'.format(self.id))
                     if not self.get('force_shelf', False):
                         raise
         return self._sh
@@ -411,49 +108,44 @@ class ShelfMixin(object):
     def sh(self):
         if os.path.isfile(self.shelf_file):
             os.remove(self.shelf_file)
-            del self._sh
+            del self.__dict__['_sh']
         self.save()
 
-    @sh.setter
-    def sh(self, value):
-        self._sh = value
-
     @property
     def shelf_file(self):
-        if not hasattr(self, '_shelf_file') or not self._shelf_file:
-            self._shelf_file = os.path.join(self.data_folder, self.name + '.p')
-        return self._shelf_file
-
-    @shelf_file.setter
-    def shelf_file(self, value):
-        self._shelf_file = value
+        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')
+        return self['shelf_file']
 
     def save(self):
-        self.log.debug('Saving pickle')
+        logger.debug('saving pickle')
         if hasattr(self, '_sh') and self._sh is not None:
-            with self.open(self.shelf_file, 'wb') as f:
+            with open(self.shelf_file, 'wb') as f:
                 pickle.dump(self._sh, f)
 
 
-def pfilter(plugins, plugin_type=Analysis, **kwargs):
+default_plugin_type = API_PARAMS['plugin_type']['default']
+
+
+def pfilter(plugins, **kwargs):
     """ Filter plugins by different criteria """
     if isinstance(plugins, models.Plugins):
         plugins = plugins.plugins
     elif isinstance(plugins, dict):
         plugins = plugins.values()
+    ptype = kwargs.pop('plugin_type', default_plugin_type)
     logger.debug('#' * 100)
-    logger.debug('plugin_type {}'.format(plugin_type))
-    if plugin_type:
-        if isinstance(plugin_type, PluginMeta):
-            plugin_type = plugin_type.__name__
+    logger.debug('ptype {}'.format(ptype))
+    if ptype:
         try:
-            plugin_type = plugin_type[0].upper() + plugin_type[1:]
-            pclass = globals()[plugin_type]
+            ptype = ptype[0].upper() + ptype[1:]
+            pclass = globals()[ptype]
             logger.debug('Class: {}'.format(pclass))
             candidates = filter(lambda x: isinstance(x, pclass),
                                 plugins)
         except KeyError:
-            raise models.Error('{} is not a valid type'.format(plugin_type))
+            raise models.Error('{} is not a valid type'.format(ptype))
     else:
         candidates = plugins
 
@@ -467,196 +159,4 @@ def pfilter(plugins, plugin_type=Analysis, **kwargs):
 
     if kwargs:
         candidates = filter(matches, candidates)
-    return candidates
-
-
-def load_module(name, root=None):
-    if root:
-        sys.path.append(root)
-    tmp = importlib.import_module(name)
-    if root:
-        sys.path.remove(root)
-    return tmp
-
-
-def _log_subprocess_output(process):
-    for line in iter(process.stdout.readline, b''):
-        logger.info('%r', line)
-    for line in iter(process.stderr.readline, b''):
-        logger.error('%r', line)
-
-
-def install_deps(*plugins):
-    installed = False
-    nltk_resources = set()
-    for info in plugins:
-        requirements = info.get('requirements', [])
-        if requirements:
-            pip_args = [sys.executable, '-m', 'pip', 'install']
-            for req in requirements:
-                pip_args.append(req)
-            logger.info('Installing requirements: ' + str(requirements))
-            process = subprocess.Popen(pip_args,
-                                       stdout=subprocess.PIPE,
-                                       stderr=subprocess.PIPE)
-            _log_subprocess_output(process)
-            exitcode = process.wait()
-            installed = True
-            if exitcode != 0:
-                raise models.Error("Dependencies not properly installed: {}".format(pip_args))
-        nltk_resources |= set(info.get('nltk_resources', []))
-
-    installed |= nltk.download(list(nltk_resources))
-    return installed
-
-
-is_plugin_file = re.compile(r'.*\.senpy$|senpy_[a-zA-Z0-9_]+\.py$|'
-                            '^(?!test_)[a-zA-Z0-9_]+_plugin.py$')
-
-
-def find_plugins(folders):
-    for search_folder in folders:
-        for root, dirnames, filenames in os.walk(search_folder):
-            # Do not look for plugins in hidden or special folders
-            dirnames[:] = [d for d in dirnames if d[0] not in ['.', '_']]
-            for filename in filter(is_plugin_file.match, filenames):
-                fpath = os.path.join(root, filename)
-                yield fpath
-
-
-def from_path(fpath, install_on_fail=False, **kwargs):
-    logger.debug("Loading plugin from {}".format(fpath))
-    if fpath.endswith('.py'):
-        # We asume root is the dir of the file, and module is the name of the file
-        root = os.path.dirname(fpath)
-        module = os.path.basename(fpath)[:-3]
-        for instance in _from_module_name(module=module, root=root, **kwargs):
-            yield instance
-    else:
-        info = parse_plugin_info(fpath)
-        yield from_info(info, install_on_fail=install_on_fail, **kwargs)
-
-
-def from_folder(folders, loader=from_path, **kwargs):
-    plugins = []
-    for fpath in find_plugins(folders):
-        for plugin in loader(fpath, **kwargs):
-            plugins.append(plugin)
-    return plugins
-
-
-def from_info(info, root=None, install_on_fail=True, **kwargs):
-    if any(x not in info for x in ('module',)):
-        raise ValueError('Plugin info is not valid: {}'.format(info))
-    module = info["module"]
-
-    if not root and '_path' in info:
-        root = os.path.dirname(info['_path'])
-
-    fun = partial(one_from_module, module, root=root, info=info, **kwargs)
-    try:
-        return fun()
-    except (ImportError, LookupError):
-        install_deps(info)
-        return fun()
-
-
-def parse_plugin_info(fpath):
-    logger.debug("Parsing plugin info: {}".format(fpath))
-    with open(fpath, 'r') as f:
-        info = yaml.load(f)
-    info['_path'] = fpath
-    return info
-
-
-def from_module(module, **kwargs):
-
-    if inspect.ismodule(module):
-        res = _from_loaded_module(module, **kwargs)
-    else:
-        res = _from_module_name(module, **kwargs)
-    for p in res:
-        yield p
-
-
-def one_from_module(module, root, info, **kwargs):
-    if '@type' in info:
-        cls = PluginMeta.from_type(info['@type'])
-        return cls(info=info, **kwargs)
-    instance = next(from_module(module=module, root=root, info=info, **kwargs), None)
-    if not instance:
-        raise Exception("No valid plugin for: {}".format(module))
-    return instance
-
-
-def _classes_in_module(module):
-    for _, obj in inspect.getmembers(module):
-        if inspect.isclass(obj) and inspect.getmodule(obj) == module:
-            logger.debug(("Found plugin class:"
-                          " {}@{}").format(obj, inspect.getmodule(obj)))
-            yield obj
-
-
-def _instances_in_module(module):
-    for _, obj in inspect.getmembers(module):
-        if isinstance(obj, Plugin) and inspect.getmodule(obj) == module:
-            logger.debug(("Found plugin instance:"
-                          " {}@{}").format(obj, inspect.getmodule(obj)))
-            yield obj
-
-
-def _from_module_name(module, root, info=None, **kwargs):
-    module = load_module(module, root)
-    for plugin in _from_loaded_module(module=module, root=root, info=info, **kwargs):
-        yield plugin
-
-
-def _from_loaded_module(module, info=None, **kwargs):
-    for cls in _classes_in_module(module):
-        yield cls(info=info, **kwargs)
-    for instance in _instances_in_module(module):
-        yield instance
-
-
-def evaluate(plugins, datasets, **kwargs):
-    ev = gsitk_compat.Eval(tuples=None,
-                           datasets=datasets,
-                           pipelines=[plugin.as_pipe() for plugin in plugins])
-    ev.evaluate()
-    results = ev.results
-    evaluations = evaluations_to_JSONLD(results, **kwargs)
-    return evaluations
-
-
-def evaluations_to_JSONLD(results, flatten=False):
-    '''
-    Map the evaluation results to a JSONLD scheme
-    '''
-
-    evaluations = list()
-    metric_names = ['accuracy', 'precision_macro', 'recall_macro',
-                    'f1_macro', 'f1_weighted', 'f1_micro', 'f1_macro']
-
-    for index, row in results.iterrows():
-        evaluation = models.Evaluation()
-        if row.get('CV', True):
-            evaluation['@type'] = ['StaticCV', 'Evaluation']
-        evaluation.evaluatesOn = row['Dataset']
-        evaluation.evaluates = row['Model']
-        i = 0
-        if flatten:
-            metric = models.Metric()
-            for name in metric_names:
-                metric[name] = row[name]
-            evaluation.metrics.append(metric)
-        else:
-            # We should probably discontinue this representation
-            for name in metric_names:
-                metric = models.Metric()
-                metric['@id'] = 'Metric' + str(i)
-                metric['@type'] = name.capitalize()
-                metric.value = row[name]
-                evaluation.metrics.append(metric)
-                i += 1
-        evaluations.append(evaluation)
-    return evaluations
+    return {p.name: p for p in candidates}

senpy/plugins/conversion/emotion/centroids.py

@@ -6,12 +6,7 @@ logger = logging.getLogger(__name__)
 
 
 class CentroidConversion(EmotionConversionPlugin):
-    '''
-    This plugin converts emotion annotations from a dimensional model to a
-    categorical one, and vice versa. The centroids used in the conversion
-    are configurable and appear in the semantic description of the plugin.
-    '''
-    def __init__(self, info, *args, **kwargs):
+    def __init__(self, info):
         if 'centroids' not in info:
             raise Error('Centroid conversion plugins should provide '
                         'the centroids in their senpy file')
@@ -38,7 +33,7 @@ class CentroidConversion(EmotionConversionPlugin):
                 ncentroids[aliases.get(k1, k1)] = nv1
             info['centroids'] = ncentroids
 
-        super(CentroidConversion, self).__init__(info, *args, **kwargs)
+        super(CentroidConversion, self).__init__(info)
 
         self.dimensions = set()
         for c in self.centroids.values():
@@ -105,54 +100,3 @@ class CentroidConversion(EmotionConversionPlugin):
         else:
             raise Error('EMOTION MODEL NOT KNOWN')
         yield e
-
-    def test(self, info=None):
-        if not info:
-            info = {
-                "name": "CentroidTest",
-                "description": "Centroid test",
-                "version": 0,
-                "centroids": {
-                    "c1": {"V1": 0.5,
-                           "V2": 0.5},
-                    "c2": {"V1": -0.5,
-                           "V2": 0.5},
-                    "c3": {"V1": -0.5,
-                           "V2": -0.5},
-                    "c4": {"V1": 0.5,
-                           "V2": -0.5}},
-                "aliases": {
-                    "V1": "X-dimension",
-                    "V2": "Y-dimension"
-                },
-                "centroids_direction": ["emoml:big6", "emoml:fsre-dimensions"]
-            }
-
-        c = CentroidConversion(info)
-
-        es1 = EmotionSet()
-        e1 = Emotion()
-        e1.onyx__hasEmotionCategory = "c1"
-        es1.onyx__hasEmotion.append(e1)
-        res = c._forward_conversion(es1)
-        assert res["X-dimension"] == 0.5
-        assert res["Y-dimension"] == 0.5
-
-        e2 = Emotion()
-        e2.onyx__hasEmotionCategory = "c2"
-        es1.onyx__hasEmotion.append(e2)
-        res = c._forward_conversion(es1)
-        assert res["X-dimension"] == 0
-        assert res["Y-dimension"] == 1
-
-        e = Emotion()
-        e["X-dimension"] = -0.2
-        e["Y-dimension"] = -0.3
-        res = c._backwards_conversion(e)
-        assert res["onyx:hasEmotionCategory"] == "c3"
-
-        e = Emotion()
-        e["X-dimension"] = -0.2
-        e["Y-dimension"] = 0.3
-        res = c._backwards_conversion(e)
-        assert res["onyx:hasEmotionCategory"] == "c2"

senpy/plugins/conversion/emotion/ekman2fsre.senpy

@@ -2,51 +2,38 @@
 name: Ekman2FSRE
 module: senpy.plugins.conversion.emotion.centroids
 description: Plugin to convert emotion sets from Ekman to VAD
-version: 0.2
+version: 0.1
 # No need to specify onyx:doesConversion because centroids.py adds it automatically from centroids_direction
-neutralValue: 5.0
 centroids:
   anger:
     A: 6.95
     D: 5.1
     V: 2.7
-    S: 5.0
   disgust:
     A: 5.3
     D: 8.05
     V: 2.7
-    S: 5.0
   fear:
     A: 6.5
     D: 3.6
     V: 3.2
-    S: 5.0
   happiness:
     A: 7.22
     D: 6.28
     V: 8.6
-    S: 5.0
   sadness:
     A: 5.21
     D: 2.82
     V: 2.21
-    S: 5.0
-  surprise:
-    A: 5.0
-    D: 5.0
-    V: 5.0
-    S: 10.0
 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:fsre-dimensions_arousal
-  V: emoml:fsre-dimensions_valence
-  D: emoml:fsre-dimensions_potency
-  S: emoml:fsre-dimensions_unpredictability
+  A: emoml:arousal
+  V: emoml:valence
+  D: emoml:dominance
   anger: emoml:big6anger
   disgust: emoml:big6disgust
   fear: emoml:big6fear
   happiness: emoml:big6happiness
-  sadness: emoml:big6sadness
-  surprise: emoml:big6surprise
+  sadness: emoml:big6sadness

senpy/plugins/conversion/emotion/ekman2vad.senpy

@@ -2,9 +2,13 @@
 name: Ekman2PAD
 module: senpy.plugins.conversion.emotion.centroids
 description: Plugin to convert emotion sets from Ekman to VAD
-version: 0.2
+version: 0.1
 # No need to specify onyx:doesConversion because centroids.py adds it automatically from centroids_direction
-neutralValue: 5.0
+origin:
+  # Point in VAD space with no emotion (aka Neutral)
+  A: 5.0
+  D: 5.0
+  V: 5.0
 centroids:
   anger:
     A: 6.95
@@ -30,9 +34,9 @@ centroids_direction:
   - emoml:big6
   - emoml:pad
 aliases: # These are aliases for any key in the centroid, to avoid repeating a long name several times
-  A: emoml:pad-dimensions:arousal
-  V: emoml:pad-dimensions:pleasure
-  D: emoml:pad-dimensions:dominance
+  A: emoml:arousal
+  V: emoml:valence
+  D: emoml:dominance
   anger: emoml:big6anger
   disgust: emoml:big6disgust
   fear: emoml:big6fear

senpy/plugins/example/emoRand/emoRand.py

@@ -1,18 +1,10 @@
 import random
 
 from senpy.plugins import EmotionPlugin
-from senpy.models import EmotionSet, Emotion, Entry
+from senpy.models import EmotionSet, Emotion
 
 
-class EmoRand(EmotionPlugin):
-    name = "emoRand"
-    description = 'A sample plugin that returns a random emotion annotation'
-    author = '@balkian'
-    version = '0.1'
-    url = "https://github.com/gsi-upm/senpy-plugins-community"
-    requirements = {}
-    onyx__usesEmotionModel = "emoml:big6"
-
+class RmoRandPlugin(EmotionPlugin):
     def analyse_entry(self, entry, params):
         category = "emoml:big6happiness"
         number = max(-1, min(1, random.gauss(0, 0.5)))
@@ -24,11 +16,3 @@ class EmoRand(EmotionPlugin):
         emotionSet.prov__wasGeneratedBy = self.id
         entry.emotions.append(emotionSet)
         yield entry
-
-    def test(self):
-        params = dict()
-        results = list()
-        for i in range(100):
-            res = next(self.analyse_entry(Entry(nif__isString="Hello"), params))
-            res.validate()
-            results.append(res.emotions[0]['onyx:hasEmotion'][0]['onyx:hasEmotionCategory'])

senpy/plugins/example/emoRand/emoRand.senpy

@@ -0,0 +1,9 @@
+---
+name: emoRand
+module: emoRand
+description: A sample plugin that returns a random emotion annotation
+author: "@balkian"
+version: '0.1'
+url: "https://github.com/gsi-upm/senpy-plugins-community"
+requirements: {}
+onyx:usesEmotionModel: "emoml:big6"

senpy/plugins/example/emorand_plugin.py

@@ -1,32 +0,0 @@
-import random
-
-from senpy.plugins import EmotionPlugin
-from senpy.models import EmotionSet, Emotion, Entry
-
-
-class EmoRand(EmotionPlugin):
-    '''A sample plugin that returns a random emotion annotation'''
-    author = '@balkian'
-    version = '0.1'
-    url = "https://github.com/gsi-upm/senpy-plugins-community"
-    onyx__usesEmotionModel = "emoml:big6"
-
-    def analyse_entry(self, entry, params):
-        category = "emoml:big6happiness"
-        number = max(-1, min(1, random.gauss(0, 0.5)))
-        if number > 0:
-            category = "emoml:big6anger"
-        emotionSet = EmotionSet()
-        emotion = Emotion({"onyx:hasEmotionCategory": category})
-        emotionSet.onyx__hasEmotion.append(emotion)
-        emotionSet.prov__wasGeneratedBy = self.id
-        entry.emotions.append(emotionSet)
-        yield entry
-
-    def test(self):
-        params = dict()
-        results = list()
-        for i in range(100):
-            res = next(self.analyse_entry(Entry(nif__isString="Hello"), params))
-            res.validate()
-            results.append(res.emotions[0]['onyx:hasEmotion'][0]['onyx:hasEmotionCategory'])

senpy/plugins/example/rand/rand.py

@@ -0,0 +1,24 @@
+import random
+
+from senpy.plugins import SentimentPlugin
+from senpy.models import Sentiment
+
+
+class RandPlugin(SentimentPlugin):
+    def analyse_entry(self, entry, params):
+        lang = params.get("language", "auto")
+
+        polarity_value = max(-1, min(1, random.gauss(0.2, 0.2)))
+        polarity = "marl:Neutral"
+        if polarity_value > 0:
+            polarity = "marl:Positive"
+        elif polarity_value < 0:
+            polarity = "marl:Negative"
+        sentiment = Sentiment({
+            "marl:hasPolarity": polarity,
+            "marl:polarityValue": polarity_value
+        })
+        sentiment["prov:wasGeneratedBy"] = self.id
+        entry.sentiments.append(sentiment)
+        entry.language = lang
+        yield entry

senpy/plugins/example/rand/rand.senpy

@@ -0,0 +1,10 @@
+---
+name: rand
+module: rand
+description: A sample plugin that returns a random sentiment annotation
+author: "@balkian"
+version: '0.1'
+url: "https://github.com/gsi-upm/senpy-plugins-community"
+requirements: {}
+marl:maxPolarityValue: '1'
+marl:minPolarityValue: "-1"

senpy/plugins/example/rand_plugin.py

@@ -1,36 +0,0 @@
-import random
-from senpy import SentimentPlugin, Sentiment, Entry
-
-
-class Rand(SentimentPlugin):
-    '''A sample plugin that returns a random sentiment annotation'''
-    author = "@balkian"
-    version = '0.1'
-    url = "https://github.com/gsi-upm/senpy-plugins-community"
-    marl__maxPolarityValue = '1'
-    marl__minPolarityValue = "-1"
-
-    def analyse_entry(self, entry, params):
-        polarity_value = max(-1, min(1, random.gauss(0.2, 0.2)))
-        polarity = "marl:Neutral"
-        if polarity_value > 0:
-            polarity = "marl:Positive"
-        elif polarity_value < 0:
-            polarity = "marl:Negative"
-        sentiment = Sentiment(marl__hasPolarity=polarity,
-                              marl__polarityValue=polarity_value)
-        sentiment.prov(self)
-        entry.sentiments.append(sentiment)
-        yield entry
-
-    def test(self):
-        '''Run several random analyses.'''
-        params = dict()
-        results = list()
-        for i in range(50):
-            res = next(self.analyse_entry(Entry(nif__isString="Hello"),
-                                          params))
-            res.validate()
-            results.append(res.sentiments[0]['marl:hasPolarity'])
-        assert 'marl:Positive' in results
-        assert 'marl:Negative' in results

senpy/plugins/misc/split_plugin.py

@@ -1,80 +0,0 @@
-from senpy.plugins import AnalysisPlugin
-from senpy.models import Entry
-from nltk.tokenize.punkt import PunktSentenceTokenizer
-from nltk.tokenize.simple import LineTokenizer
-import nltk
-
-
-class Split(AnalysisPlugin):
-    '''description: A sample plugin that chunks input text'''
-
-    author = ["@militarpancho", '@balkian']
-    version = '0.2'
-    url = "https://github.com/gsi-upm/senpy"
-
-    extra_params = {
-        'delimiter': {
-            'aliases': ['type', 't'],
-            'required': False,
-            'default': 'sentence',
-            'options': ['sentence', 'paragraph']
-        },
-    }
-
-    def activate(self):
-        nltk.download('punkt')
-
-    def analyse_entry(self, entry, params):
-        yield entry
-        chunker_type = params["delimiter"]
-        original_text = entry['nif:isString']
-        if chunker_type == "sentence":
-            tokenizer = PunktSentenceTokenizer()
-        if chunker_type == "paragraph":
-            tokenizer = LineTokenizer()
-        chars = list(tokenizer.span_tokenize(original_text))
-        for i, chunk in enumerate(tokenizer.tokenize(original_text)):
-            print(chunk)
-            e = Entry()
-            e['nif:isString'] = chunk
-            if entry.id:
-                e.id = entry.id + "#char={},{}".format(chars[i][0], chars[i][1])
-            yield e
-
-    test_cases = [
-        {
-            'entry': {
-                'nif:isString': 'Hello. World.'
-            },
-            'params': {
-                'delimiter': 'sentence',
-            },
-            'expected': [
-                {
-                    'nif:isString': 'Hello.'
-                },
-                {
-                    'nif:isString': 'World.'
-                }
-            ]
-        },
-        {
-            'entry': {
-                "@id": ":test",
-                'nif:isString': 'Hello\nWorld'
-            },
-            'params': {
-                'delimiter': 'paragraph',
-            },
-            'expected': [
-                {
-                    "@id": ":test#char=0,5",
-                    'nif:isString': 'Hello'
-                },
-                {
-                    "@id": ":test#char=6,11",
-                    'nif:isString': 'World'
-                }
-            ]
-        }
-    ]

senpy/plugins/sentiment/sentiment140/sentiment140.py

@@ -0,0 +1,36 @@
+import requests
+import json
+
+from senpy.plugins import SentimentPlugin
+from senpy.models import Sentiment
+
+
+class Sentiment140Plugin(SentimentPlugin):
+    def analyse_entry(self, entry, params):
+        lang = params.get("language", "auto")
+        res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",
+                            json.dumps({
+                                "language": lang,
+                                "data": [{
+                                    "text": entry.text
+                                }]
+                            }))
+        p = params.get("prefix", None)
+        polarity_value = self.maxPolarityValue * int(
+            res.json()["data"][0]["polarity"]) * 0.25
+        polarity = "marl:Neutral"
+        neutral_value = self.maxPolarityValue / 2.0
+        if polarity_value > neutral_value:
+            polarity = "marl:Positive"
+        elif polarity_value < neutral_value:
+            polarity = "marl:Negative"
+
+        sentiment = Sentiment(
+            prefix=p,
+            marl__hasPolarity=polarity,
+            marl__polarityValue=polarity_value)
+        sentiment.prov__wasGeneratedBy = self.id
+        entry.sentiments = []
+        entry.sentiments.append(sentiment)
+        entry.language = lang
+        yield entry

senpy/plugins/sentiment/sentiment140/sentiment140.senpy

@@ -0,0 +1,21 @@
+---
+name: sentiment140
+module: sentiment140
+description: "Connects to the sentiment140 free API: http://sentiment140.com"
+author: "@balkian"
+version: '0.2'
+url: "https://github.com/gsi-upm/senpy-plugins-community"
+extra_params:
+  language:
+    "@id": lang_sentiment140
+    aliases:
+    - language
+    - l
+    required: false
+    options:
+    - es
+    - en
+    - auto
+requirements: {}
+maxPolarityValue: 1
+minPolarityValue: 0

senpy/plugins/sentiment/sentiment140/sentiment140_plugin.py

@@ -1,82 +0,0 @@
-import requests
-import json
-
-from senpy.plugins import SentimentPlugin
-from senpy.models import Sentiment
-
-
-class Sentiment140(SentimentPlugin):
-    '''Connects to the sentiment140 free API: http://sentiment140.com'''
-
-    author = "@balkian"
-    version = '0.2'
-    url = "https://github.com/gsi-upm/senpy-plugins-community"
-    extra_params = {
-        'language': {
-            "@id": 'lang_sentiment140',
-            'aliases': ['language', 'l'],
-            'required': False,
-            'default': 'auto',
-            'options': ['es', 'en', 'auto']
-        }
-    }
-
-    maxPolarityValue = 1
-    minPolarityValue = 0
-
-    def analyse_entry(self, entry, params):
-        lang = params["language"]
-        res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",
-                            json.dumps({
-                                "language": lang,
-                                "data": [{
-                                    "text": entry['nif:isString']
-                                }]
-                            }))
-        p = params.get("prefix", None)
-        polarity_value = self.maxPolarityValue * int(
-            res.json()["data"][0]["polarity"]) * 0.25
-        polarity = "marl:Neutral"
-        neutral_value = self.maxPolarityValue / 2.0
-        if polarity_value > neutral_value:
-            polarity = "marl:Positive"
-        elif polarity_value < neutral_value:
-            polarity = "marl:Negative"
-
-        sentiment = Sentiment(
-            prefix=p,
-            marl__hasPolarity=polarity,
-            marl__polarityValue=polarity_value)
-        sentiment.prov__wasGeneratedBy = self.id
-        entry.sentiments.append(sentiment)
-        entry.language = lang
-        yield entry
-
-    def test(self, *args, **kwargs):
-        '''
-        To avoid calling the sentiment140 API, we will mock the results
-        from requests.
-        '''
-        from senpy.testing import patch_requests
-        expected = {"data": [{"polarity": 4}]}
-        with patch_requests(expected) as (request, response):
-            super(Sentiment140, self).test(*args, **kwargs)
-            assert request.called
-            assert response.json.called
-
-    test_cases = [
-        {
-            'entry': {
-                'nif:isString': 'I love Titanic'
-            },
-            'params': {},
-            'expected': {
-                "nif:isString": "I love Titanic",
-                'sentiments': [
-                    {
-                        'marl:hasPolarity': 'marl:Positive',
-                    }
-                ]
-            }
-        }
-    ]

senpy/plugins/split/split.py

@@ -0,0 +1,30 @@
+from senpy.plugins import AnalysisPlugin
+from senpy.models import Entry
+from nltk.tokenize.punkt import PunktSentenceTokenizer
+from nltk.tokenize.simple import LineTokenizer
+import nltk
+class SplitPlugin(AnalysisPlugin):
+    def activate(self):
+        nltk.download('punkt')
+    
+    def analyse_entry(self, entry, params):
+        chunker_type = params.get("delimiter", "sentence")
+        original_id = entry.id
+        original_text = entry.get("text", None)
+        if chunker_type == "sentence":
+            tokenizer = PunktSentenceTokenizer()
+            chars = tokenizer.span_tokenize(original_text)
+            for i, sentence in enumerate(tokenizer.tokenize(original_text)):
+                e = Entry()
+                e.text = sentence
+                e.id = original_id + "#char={},{}".format(chars[i][0], chars[i][1])
+                yield e
+        if chunker_type == "paragraph":
+            tokenizer = LineTokenizer()
+            chars = tokenizer.span_tokenize(original_text)
+            for i, paragraph in enumerate(tokenizer.tokenize(original_text)):
+                e = Entry() 
+                e.text = paragraph
+                chars = [char for char in chars]
+                e.id = original_id + "#char={},{}".format(chars[i][0], chars[i][1])
+                yield e

senpy/plugins/split/split.senpy

@@ -0,0 +1,18 @@
+---
+name: split
+module: split
+description: A sample plugin that chunks input text
+author: "@militarpancho"
+version: '0.1'
+url: "https://github.com/gsi-upm/senpy"
+requirements: {nltk}
+extra_params:
+  delimiter:
+    aliases:
+    - type
+    - t
+    required: false
+    default: sentence
+    options:
+    - sentence
+    - paragraph

senpy/schemas/aggregatedEvaluation.json

@@ -1,38 +0,0 @@
-{
-  "$schema": "http://json-schema.org/draft-04/schema#",
-  "allOf": [
-    {"$ref": "response.json"},
-    {
-      "title": "AggregatedEvaluation",
-      "description": "The results of the evaluation",
-      "type": "object",
-      "properties": {
-        "@context": {
-          "$ref": "context.json"
-        },
-        "@type": {
-          "default": "AggregatedEvaluation"
-        },
-        "@id": {
-          "description": "ID of the aggregated evaluation",
-          "type": "string"
-        },
-        "evaluations": {
-          "default": [],
-          "type": "array",
-          "items": {
-            "anyOf": [
-              {
-                "$ref": "evaluation.json"
-              },{
-                "type": "string"
-              }
-            ]
-          }
-        }
-
-      },
-      "required": ["@id", "evaluations"]
-    }
-  ]
-}

senpy/schemas/context.jsonld

@@ -10,10 +10,8 @@
     "wna": "http://www.gsi.dit.upm.es/ontologies/wnaffect/ns#",
     "emoml": "http://www.gsi.dit.upm.es/ontologies/onyx/vocabularies/emotionml/ns#",
     "xsd": "http://www.w3.org/2001/XMLSchema#",
-    "fam": "http://vocab.fusepool.info/fam#",
     "topics": {
-      "@id": "nif:topic",
-      "@container": "@set"
+      "@id": "dc:subject"
     },
     "entities": {
       "@id": "me:hasEntities"
@@ -22,16 +20,10 @@
       "@id": "me:hasSuggestions",
       "@container": "@set"
     },
-    "onyx:hasEmotion": {
-      "@container": "@set"
-    },
     "emotions": {
       "@id": "onyx:hasEmotionSet",
       "@container": "@set"
     },
-    "onyx:hasEmotion": {
-      "@container": "@set"
-    },
     "sentiments": {
       "@id": "marl:hasOpinion",
       "@container": "@set"

senpy/schemas/dataset.json

@@ -1,29 +0,0 @@
-{
-  "$schema": "http://json-schema.org/draft-04/schema#",
-  "name": "Dataset",
-  "properties": {
-    "@id": {
-      "type": "string"
-    },
-    "name": {
-      "type": "string"
-    },
-    "compression": {
-      "type": "string"
-    },
-    "expected_bytes": {
-      "type": "int"
-    },
-    "filename": {
-      "description": "Name of the dataset",
-      "type": "string"
-    },
-    "url": {
-      "description": "Classifier or plugin evaluated",
-      "type": "string"
-    },
-    "stats": {        
-    }
-  },
-  "required": ["@id"]
-}

senpy/schemas/datasets.json

@@ -1,18 +0,0 @@
-{
-  "$schema": "http://json-schema.org/draft-04/schema#",
-  "allOf": [
-    {"$ref": "response.json"},
-    {
-     "required": ["datasets"],
-      "properties": {
-        "datasets": {
-          "type": "array",
-          "default": [],
-          "items": {
-            "$ref": "dataset.json"
-          }
-        }
-      }
-    }
-  ]
-}

senpy/schemas/definitions.json

@@ -41,20 +41,5 @@
   },
   "Response": {
     "$ref": "response.json"
-  },
-  "AggregatedEvaluation": {
-    "$ref": "aggregatedEvaluation.json"
-  },
-  "Evaluation": {
-    "$ref": "evaluation.json"
-  },
-  "Metric": {
-    "$ref": "metric.json"
-  },
-  "Dataset": {
-    "$ref": "dataset.json"
-  },
-  "Datasets": {
-    "$ref": "datasets.json"
   }
 }

senpy/schemas/emotionModel.json

@@ -5,7 +5,7 @@
     "nif:beginIndex": {"type": "integer"},
     "nif:endIndex": {"type": "integer"},
     "nif:anchorOf": {
-      "description": "Piece of context that contains the Emotion",
+      "description": "Piece of context that contains the Sentiment",
       "type": "string"
     },
     "onyx:hasDimension": {

senpy/schemas/entry.json

@@ -6,7 +6,7 @@
       "type": "string"
     },
     "nif:isString": {
-      "description": "String contained in this Context. Alternative: nif:isString",
+      "description": "String contained in this Context",
       "type": "string"
     },
     "sentiments": {

senpy/schemas/evaluation.json

@@ -1,28 +0,0 @@
-{
-  "$schema": "http://json-schema.org/draft-04/schema#",
-  "name": "Evaluation",
-  "properties": {
-    "@id": {
-      "type": "string"
-    },
-    "@type": {
-      "type": "array",
-      "default": "Evaluation"
-
-    },
-    "metrics": {
-      "type": "array",
-      "items": {"$ref": "metric.json" },
-      "default": []
-    },
-    "evaluatesOn": {
-      "description": "Name of the dataset evaluated ",
-      "type": "string"
-    },
-    "evaluates": {
-      "description": "Classifier or plugin evaluated",
-      "type": "string"
-    }
-  },
-  "required": ["@id", "metrics"]
-}

senpy/schemas/help.json

@@ -1,17 +0,0 @@
-{
-  "$schema": "http://json-schema.org/draft-04/schema#",
-  "allOf": [
-    {"$ref": "response.json"},
-    {
-      "title": "Help",
-      "description": "Help containing accepted parameters",
-      "type": "object",
-      "properties": {
-        "valid_parameters": {
-          "type": "object"
-          }
-        },
-        "required": "valid_parameters"
-      }
-    ]
-}

senpy/schemas/metric.json

@@ -1,24 +0,0 @@
-{
-  "$schema": "http://json-schema.org/draft-04/schema#",
-  "properties": {
-    "@id": {
-      "type": "string"
-    },
-    "@type": {
-      "type": "string"
-    },
-    "maxValue": {
-      "type": "number"
-    },
-    "minValue": {
-      "type": "number"
-    },
-    "value": {
-      "type": "number"
-    },
-    "deviation": {
-      "type": "number"
-    }
-  },
-  "required": ["@id"]
-}

senpy/schemas/plugin.json

@@ -1,7 +1,7 @@
 {
   "$schema": "http://json-schema.org/draft-04/schema#",
   "type": "object",
-  "required": ["@id", "name", "description", "version", "plugin_type"],
+  "required": ["@id", "extra_params"],
   "properties": {
     "@id": {
       "type": "string",
@@ -9,19 +9,7 @@
     },
     "name": {
       "type": "string",
-      "description": "The name of the plugin, which will be used in the algorithm detection phase."
-    },
-    "description": {
-      "type": "string",
-      "description": "A summary of what the plugin does, and pointers to further information."
-    },
-    "version": {
-      "type": "string",
-      "description": "The version of the plugin."
-    },
-    "plugin_type": {
-      "type": "string",
-      "description": "Sub-type of plugin. e.g. sentimentPlugin"
+      "description": "The name of the plugin, which will be used in the algorithm detection phase"
     },
     "extra_params": {
       "type": "object",

senpy/schemas/plugins.json

@@ -3,7 +3,6 @@
   "allOf": [
     {"$ref": "response.json"},
     {
-     "required": ["plugins"],
       "properties": {
         "plugins": {
           "type": "array",

senpy/schemas/response.json

@@ -2,12 +2,7 @@
   "$schema": "http://json-schema.org/draft-04/schema#",
   "type": "object",
   "properties": {
-    "@type": {"type": "string"},
-    "parameters": {
-      "type": "object",
-      "default": {}
-
-    }
+    "@type": {"type": "string"}
   },
   "required": ["@type"]
 

senpy/static/css/main.css

@@ -152,51 +152,3 @@ textarea{
     /* background: white; */
     display: none;
 }
-
-.deco-none {
-    color: inherit;
-    text-decoration: inherit;
-}
-
-.deco-none:link {
-    color: inherit;
-    text-decoration: inherit;
-}
-
-.deco-none:hover {
-    color: inherit;
-    text-decoration: inherit;
-}
-
-.collapsed .collapseicon {
-    display: none !important;
-}
-
-.collapsed .expandicon {
-    display: inline-block !important;
-}
-
-.expandicon {
-    display: none !important;
-}
-
-.collapseicon {
-    display: inline-block !important;
-}
-
-.loader {
-    border: 6px solid #f3f3f3; /* Light grey */
-    border-top: 6px solid blue;
-    border-bottom: 6px solid blue;
-
-    border-radius: 50%;
-    width: 3em;
-    height: 3em;
-    animation: spin 2s linear infinite;
-
-}
-
-@keyframes spin {
-    0% { transform: rotate(0deg); }
-    100% { transform: rotate(360deg); }
-}

senpy/static/js/main.js

@@ -1,10 +1,6 @@
 var ONYX = "http://www.gsi.dit.upm.es/ontologies/onyx/ns#";
 var RDF_TYPE =  "http://www.w3.org/1999/02/22-rdf-syntax-ns#type";
-var plugins_params = default_params = {};
-var plugins = [];
-var defaultPlugin = {};
-var gplugins = {};
-var pipeline = [];
+var plugins_params={};
 
 function replaceURLWithHTMLLinks(text) {
     console.log('Text: ' + text);
@@ -29,436 +25,112 @@ function hashchanged(){
     }
 }
 
-
-function get_plugins(response){
-    for(ix in response.plugins){
-        plug = response.plugins[ix];
-        plugins[plug.name] = plug;
-    }
-}
-
-function get_datasets(response){
-    datasets = response.datasets
-}
-
-function group_plugins(){
-    for (r in plugins){
-        ptype = plugins[r]['@type'];
-        if(gplugins[ptype] == undefined){
-            gplugins[ptype] = [r];
-        }else{
-            gplugins[ptype].push(r);
-	      }
-    }
-}
-
-function get_parameters(){
-    for (p in plugins){	
-        plugin = plugins[p];
-        if (plugin["extra_params"]){
-            plugins_params[plugin["name"]] = plugin["extra_params"];
-        }
-    }
-}
-
-function draw_plugins_selection(){
-    html="";
-    group_plugins();
-    for (g in gplugins){	
-        html += "<optgroup label=\""+g+"\">"
-        for (r in gplugins[g]){
-            plugin = plugins[gplugins[g][r]]
-            if (!plugin["name"]){
-                console.log("No name for plugin ", plugin);
-                continue;
-
-            }
-            html+= "<option value=\""+plugin.name+"\" "
-            if (plugin["name"] == defaultPlugin["name"]){
-                html+= " selected=\"selected\""
-            }
-            if (!plugin["is_activated"]){
-                html+= " disabled=\"disabled\" "
-            }
-            html+=">"+plugin["name"]+"</option>"
-
-        }
-    }
-    html += "</optgroup>"
-    // Two elements with plugin class
-    // One from the evaluate tab and another one from the analyse tab
-    plugin_lists  = document.getElementsByClassName('plugin')
-    for (element in plugin_lists){
-        plugin_lists[element].innerHTML = html;
-    }
-    draw_plugin_pipeline();
-}
-
-function draw_plugin_pipeline(){
-    var pipeHTML = "";
-    console.log("Drawing pipeline: ", pipeline);
-    for (ix in pipeline){
-        plug = pipeline[ix];
-        pipeHTML += '<span onclick="remove_plugin_pipeline(\'' + plug + '\')" class="btn btn-primary"><span ><i class="fa fa-minus"></i></span> ' + plug + '</span> <i class="fa fa-arrow-right"></i> ';
-    }
-    console.log(pipeHTML);
-    $("#pipeline").html(pipeHTML);
-}
-
-
-function remove_plugin_pipeline(name){
-    console.log("Removing plugin: ", name);
-    var index = pipeline.indexOf(name);
-    pipeline.splice(index, 1);
-    draw_plugin_pipeline();
-
-}
-function draw_plugins_list(){
-    var availablePlugins = document.getElementById('availablePlugins');
-
-    for(p in plugins){
-        var pluginEntry = document.createElement('li');
-        plugin = plugins[p];
-        newHtml = ""
-        if(plugin.url) {
-            newHtml= "<a href="+plugin.url+">" + plugin.name + "</a>";
-        }else {
-            newHtml= plugin["name"];
-        }
-        newHtml += ": " + replaceURLWithHTMLLinks(plugin.description);
-        pluginEntry.innerHTML = newHtml;
-        availablePlugins.appendChild(pluginEntry)
-    }
-}
-
-function add_plugin_pipeline(){
-    var selected = get_selected_plugin();
-    pipeline.push(selected);
-    console.log("Adding ", selected);
-    draw_plugin_pipeline();
-}
-
-function draw_datasets(){
-    html = "";
-    repeated_html = "<input class=\"checks-datasets\" type=\"checkbox\" value=\"";
-    for (dataset in datasets){
-        html += repeated_html+datasets[dataset]["@id"]+"\">"+datasets[dataset]["@id"];
-        html += "<br>"
-    }
-    document.getElementById("datasets").innerHTML = html;
-}
-
 $(document).ready(function() {
     var response = JSON.parse($.ajax({type: "GET", url: "/api/plugins/" , async: false}).responseText);
-    defaultPlugin= JSON.parse($.ajax({type: "GET", url: "/api/plugins/default" , async: false}).responseText);
-
-    get_plugins(response);
-    get_default_parameters();
-
-    draw_plugins_list();
-    draw_plugins_selection();
-    draw_parameters();
-    draw_plugin_description();
-
-    if (evaluation_enabled) {
-        var response2 = JSON.parse($.ajax({type: "GET", url: "/api/datasets/" , async: false}).responseText);
-        get_datasets(response2);
-        draw_datasets();
+    var defaultPlugin= JSON.parse($.ajax({type: "GET", url: "/api/plugins/default" , async: false}).responseText);
+    html="";
+    var availablePlugins = document.getElementById('availablePlugins');
+    plugins = response.plugins;
+    for (r in plugins){
+      plugin = plugins[r]
+      if (plugin["name"]){
+        if (plugin["name"] == defaultPlugin["name"]){
+          if (plugin["is_activated"]){
+            html+= "<option value=\""+plugin["name"]+"\" selected=\"selected\">"+plugin["name"]+"</option>"
+          }else{
+            html+= "<option value=\""+plugin["name"]+"\" selected=\"selected\" disabled=\"disabled\">"+plugin["name"]+"</option>"
+          }
+        }
+        else{
+          if (plugin["is_activated"]){
+            html+= "<option value=\""+plugin["name"]+"\">"+plugin["name"]+"</option>"
+          }
+          else{
+            html+= "<option value=\""+plugin["name"]+"\" disabled=\"disabled\">"+plugin["name"]+"</option>"
+          }
+        }
+      }
+      if (plugin["extra_params"]){
+        plugins_params[plugin["name"]]={};
+        for (param in plugin["extra_params"]){
+          if (typeof plugin["extra_params"][param] !="string"){
+            var params = new Array();
+            var alias = plugin["extra_params"][param]["aliases"][0];
+            params[alias]=new Array();
+            for (option in plugin["extra_params"][param]["options"]){
+              params[alias].push(plugin["extra_params"][param]["options"][option])
+            }
+            plugins_params[plugin["name"]][alias] = (params[alias])
+          }
+        }
+      }
+      var pluginList = document.createElement('li');
+      
+      newHtml = ""
+      if(plugin.url) {
+        newHtml= "<a href="+plugin.url+">" + plugin.name + "</a>";
+      }else {
+        newHtml= plugin["name"];
+      }
+      newHtml += ": " + replaceURLWithHTMLLinks(plugin.description);
+      pluginList.innerHTML = newHtml;
+      availablePlugins.appendChild(pluginList)
     }
-
-    $(window).on('hashchange', hashchanged);
-    hashchanged();
-    $('.tooltip-form').tooltip();
+    document.getElementById('plugins').innerHTML = html;
+    change_params();
+  
+  $(window).on('hashchange', hashchanged);
+  hashchanged();
+  $('.tooltip-form').tooltip();
 
 });
 
-function get_default_parameters(){
-    default_params = JSON.parse($.ajax({type: "GET", url: "/api?help=true" , async: false}).responseText).valid_parameters;
-    // Remove the parameters that are always added
-    delete default_params["input"];
-    delete default_params["algorithm"];
-    delete default_params["help"];
 
-}
+function change_params(){
+      var plugin = document.getElementById("plugins").options[document.getElementById("plugins").selectedIndex].value;
 
-function get_selected_plugin(){
-    return document.getElementsByClassName('plugin')[0].options[document.getElementsByClassName('plugin')[0].selectedIndex].value;
-}
-
-function draw_default_parameters(){
-    var basic_params = document.getElementById("basic_params");
-    basic_params.innerHTML = params_div(default_params);
-}
-
-function update_params(params, plug){
-    ep = plugins_params[plug];
-    for(k in ep){
-        params[k] = ep[k];
-    }
-    return params
-}
-
-function draw_extra_parameters(){
-    var plugin = get_selected_plugin();
-    get_parameters();
-
-    var extra_params = document.getElementById("extra_params");
-    var params = {};
-    for (sel in pipeline){
-        update_params(params, pipeline[sel]);
-    }
-    update_params(params, plugin);
-    extra_params.innerHTML = params_div(params);
-}
-
-function draw_parameters(){
-    draw_default_parameters();
-    draw_extra_parameters();
-}
-
-
-function add_default_params(){
-    var html = "";
-    // html += '<a href="#basic_params" class="btn btn-info" data-toggle="collapse">Basic API parameters</a>';
-    html += '<span id="basic_params" class="panel-collapse collapse">';
-    html += '<ul class="list-group">'
-    html += params_div(default_params);
-    html += '</span>';
-    return html;
-}
-
-function params_div(params){
-    var html = '<div class="container-fluid">';
-    if (Object.keys(params).length === 0) {
-        html += '<p class="text text-muted text-center">This plugin does not take any extra parameters</p>';
-    }
-    // Iterate over the keys in order
-    pnames = Object.keys(params).sort()
-    for (ix in pnames){
-        pname = pnames[ix];
-        param = params[pname];
-        html+='<div class="form-group">';
-        html += '<div class="row">'
-        html+= '<label class="col-sm-4" for="'+pname+'">'+pname+'</label>'
-        if (param.options){
-            opts = param.options;
-            if(param.options.length == 1 && param.options[0] == 'boolean') {
-                opts = [true, false];
+        html=""
+        for (param in plugins_params[plugin]){
+          if (param || plugins_params[plugin][param].length > 1){
+            html+= "<label> Parameter "+param+"</label>"
+            html+= "<select id=\""+param+"\" name=\""+param+"\">"
+            for (option in plugins_params[plugin][param]){
+                  html+="<option value \""+plugins_params[plugin][param][option]+"\">"+plugins_params[plugin][param][option]+"</option>"
             }
-            html+= '<select class="col-sm-8" id="'+pname+"\" name=\""+pname+"\">"
-            var defaultopt = param.default;
-            for (option in opts){
-                isselected = "";
-                if (defaultopt != undefined && opts[option] == defaultopt ){
-                    isselected = ' selected="selected"'
-                }
-                html+="<option value=\""+opts[option]+'"' + isselected +
-                '>'+opts[option]+"</option>"
-            }
-            html+="</select>"
+          }
+          html+="</select>"
         }
-        else {
-            default_value = "";
-            if(param.default != undefined){
-                default_value = param.default;
-            };
-            html +='<input class="col-sm-8" id="'+pname+'" name="'+pname+'" value="' + default_value + '"></input>';
-        }
-        html+='</div>';
-        html+='<div class="row">';
-        if ('description' in param){
-            html += '<p class="form-text sm-sm-12 text-muted text-center">' + param.description + '</p>';
-
-        }
-        html+='</div>';
-        html+='</div>';
-    }
-    html+='</div>';
-    return html;
-}
-
-function _get_form_parameters(id){
-    var element = document.getElementById(id);
-    params = {};
-    var selects = element.getElementsByTagName('select');
-    var inputs = element.getElementsByTagName('input');
-
-    Array.prototype.forEach.call(selects, function (sel) {
-        key = sel.name;
-        value = sel.options[sel.selectedIndex].value
-        params[key] = value;
-    });
-
-    Array.prototype.forEach.call(inputs, function (el) {
-        params[el.name] = el.value;
-    });
-
-    for (k in params){
-        value = params[k];
-        if (value == "" || value === "undefined"){
-            delete params[k];
-
-        }
-    }
-
-    return params;
-}
-
-function get_form_parameters(){
-    var p1 = _get_form_parameters("basic_params");
-    var p2 = _get_form_parameters("extra_params");
-    return Object.assign(p1, p2);
-}
-
-function add_param(key, value){
-    value = encodeURIComponent(value);
-    return "&"+key+"="+value;
-}
-
-function get_pipeline_arg(){
-    arg = "";
-    for (ix in pipeline){
-        arg = arg + pipeline[ix] + ",";
-    }
-    arg = arg + get_selected_plugin();
-    return arg;
-}
-
+        document.getElementById("params").innerHTML = html
+};
 
 function load_JSON(){
-    url = "/api";
-    var container = document.getElementById('results');
-    var rawcontainer = document.getElementById("jsonraw");
-    rawcontainer.innerHTML = '';
-    container.innerHTML = '';
-
-    var plugin = get_pipeline_arg();
-    $(".loading").addClass("loader");
-    $("#preview").hide();
-
-    var input = encodeURIComponent(document.getElementById("input").value);
-    url += "?algo="+plugin+"&i="+input
-
-    params = get_form_parameters();
-
-    for (key in params){
-        url += add_param(key, params[key]);
-    }
-
-    $.ajax({type: "GET", url: url}).always(function(response){
-        document.getElementById("results-div").style.display = 'block';
-        if(typeof response=="object") {
-            var options = {
-                mode: 'view'
-            };
-            var editor = new JSONEditor(container, options, response);
-            editor.expandAll();
-            $('#results-div a[href="#viewer"]').click();
-            response = JSON.stringify(response, null, 4);
-        } else {
-            console.log("Got turtle?");
-            $('#results-div a[href="#raw"]').click();
-        }
-
-        rawcontainer.innerHTML = replaceURLWithHTMLLinks(response);
-        document.getElementById("input_request").innerHTML = "<a href='"+url+"'>"+url+"</a>"
-
-        $(".loading").removeClass("loader");
-        $("#preview").show();
-    });
-}
-
-function get_datasets_from_checkbox(){
-    var checks = document.getElementsByClassName("checks-datasets");
-
-    datasets = "";
-    for (var i = 0; i < checks.length; i++){
-        if (checks[i].checked){
-            datasets += checks[i].value + ",";
-        }
-    }
-    datasets = datasets.slice(0, -1);
-}
-
-
-function create_body_metrics(evaluations){
-	var new_tbody = document.createElement('tbody')
-	var metric_html = ""
-    for (var eval in evaluations){
-        metric_html += "<tr><th>"+evaluations[eval].evaluates+"</th><th>"+evaluations[eval].evaluatesOn+"</th>";
-        for (var metric in evaluations[eval].metrics){
-            metric_html +=  "<th>"+parseFloat(evaluations[eval].metrics[metric].value.toFixed(4))+"</th>";
-        }
-        metric_html += "</tr>";
-    }
-    new_tbody.innerHTML = metric_html
-    return new_tbody
-}
-
-function evaluate_JSON(){
-
-    url = "/api/evaluate";
-
-    var container = document.getElementById('results_eval');
-    var rawcontainer = document.getElementById('jsonraw_eval');
-    var table = document.getElementById("eval_table");
-
-    rawcontainer.innerHTML = "";
-    container.innerHTML = "";
-
-    var plugin = document.getElementsByClassName("plugin")[0].options[document.getElementsByClassName("plugin")[0].selectedIndex].value;
-
-    get_datasets_from_checkbox();
-
-    url += "?algo="+plugin+"&dataset="+datasets
-
-    $('#doevaluate').attr("disabled", true);
-    $.ajax({type: "GET", url: url, dataType: 'json'}).always(function(resp) {
-        $('#doevaluate').attr("disabled", false);
-        response = resp.responseText;  
-
-        rawcontainer.innerHTML = replaceURLWithHTMLLinks(response);
-
-        document.getElementById("input_request_eval").innerHTML = "<a href='"+url+"'>"+url+"</a>"
-        document.getElementById("evaluate-div").style.display = 'block';
-
-        try {
-            response = JSON.parse(response);
-            var options = {
-                mode: 'view'
-            };
-
-            //Control the single response results
-            if (!(Array.isArray(response.evaluations))){
-                response.evaluations = [response.evaluations]
+      url = "/api";
+      var container = document.getElementById('results');
+      var rawcontainer = document.getElementById("jsonraw");
+      rawcontainer.innerHTML = '';
+      container.innerHTML = '';
+      var plugin = document.getElementById("plugins").options[document.getElementById("plugins").selectedIndex].value;
+      var input = encodeURIComponent(document.getElementById("input").value);
+      url += "?algo="+plugin+"&i="+input
+      for (param in plugins_params[plugin]){
+        if (param != null){
+            var param_value = encodeURIComponent(document.getElementById(param).options[document.getElementById(param).selectedIndex].text);
+            if (param_value){
+              url+="&"+param+"="+param_value
             }
-
-            new_tbody = create_body_metrics(response.evaluations)
-            table.replaceChild(new_tbody, table.lastElementChild)
-
-            var editor = new JSONEditor(container, options, response);
-            editor.expandAll();
-            // $('#results-div a[href="#viewer"]').tab('show');
-            $('#evaluate-div a[href="#evaluate-table"]').click();
-            // location.hash = 'raw';
-
-
         }
-        catch(err){
-            console.log("Error decoding JSON (got turtle?)");
-            $('#evaluate-div a[href="#evaluate-raw"]').click();
-            // location.hash = 'raw';
-        }
-    })
+      }
+      var response = JSON.parse($.ajax({type: "GET", url: url , async: false}).responseText);
+      var options = {
+        mode: 'view'
+      };
+      var editor = new JSONEditor(container, options, response);
+      editor.expandAll();
+      rawcontainer.innerHTML = replaceURLWithHTMLLinks(JSON.stringify(response, undefined, 2))
+      document.getElementById("input_request").innerHTML = "<a href='"+url+"'>"+url+"</a>"
+      document.getElementById("results-div").style.display = 'block';
+      
+
 }
 
-function draw_plugin_description(){
-    var plugin = plugins[get_selected_plugin()];
-    $("#plugdescription").text(plugin.description);
-    console.log(plugin);
-}
 
-function plugin_selected(){
-    draw_extra_parameters();
-    draw_plugin_description();
-}

senpy/templates/index.html

@@ -5,9 +5,6 @@
     <title>Playground {{version}}</title>
 
   </head>
-  <script>
-   this.evaluation_enabled = {% if evaluation %}true{%else %}false{%endif%};
-  </script>
   <script src="static/js/jquery-2.1.1.min.js" ></script>
   <!--<script src="jquery.autosize.min.js"></script>-->
   <link rel="stylesheet" href="static/css/bootstrap.min.css">
@@ -35,10 +32,6 @@
       <ul class="nav nav-tabs" role="tablist">
         <li role="presentation" ><a class="active" href="#about">About</a></li>
         <li role="presentation"class="active"><a class="active" href="#test">Test it</a></li>
-        {% if evaluation %}
-        <li role="presentation"><a class="active" href="#evaluate">Evaluate Plugins</a></li>
-        {% endif %}
-
       </ul>
 
       <div class="tab-content">
@@ -61,19 +54,10 @@
                     <ul>
                       <li>List all available plugins: <a href="/api/plugins">/api/plugins</a></li>
                       <li>Get information about the default plugin: <a href="/api/plugins/default">/api/plugins/default</a></li>
-                      <li>List all available datasets: <a href="/api/datasets">/api/datasets</a></li>
                       <li>Download the JSON-LD context used: <a href="/api/contexts/Results.jsonld">/api/contexts/Results.jsonld</a></li>
                     </ul>
 
                   </p>
-                  <p>Senpy is a research project. If you use it in your research, please cite:
-                  <pre>
-Senpy: A Pragmatic Linked Sentiment Analysis Framework.
-Sánchez-Rada, J. F., Iglesias, C. A., Corcuera, I., & Araque, Ó.
-In Data Science and Advanced Analytics (DSAA),
-2016 IEEE International Conference on (pp. 735-742). IEEE.
-                  </pre>
-                  </p>
                   
                 </div>
             <div class="col-lg-6 ">
@@ -83,6 +67,8 @@ In Data Science and Advanced Analytics (DSAA),
                 </div>
                 <div class="panel-body"><ul id=availablePlugins></ul></div>
               </div>
+            </div>
+            <div class="col-lg-6 ">
               <a href="http://senpy.readthedocs.io">
               <div class="panel panel-default">
                 <div class="panel-heading"><i class="fa fa-book"></i> If you are new to senpy, you might want to read senpy's documentation</div>
@@ -93,72 +79,37 @@ In Data Science and Advanced Analytics (DSAA),
                 <div class="panel-heading"><i class="fa fa-sign-in"></i> Feel free to follow us on GitHub</div>
               </div>
               </a>
+              <div class="panel panel-default">
+                <div class="panel-heading"><i class="fa fa-child"></i> Enjoy.</div>
+              </div>
             </div>     
           </div>
         </div>
 
         <div class="tab-pane active" id="test">
           <div class="well">
-            <form id="form" class="container" onsubmit="return getPlugins();" accept-charset="utf-8">
+            <form id="form" onsubmit="return getPlugins();" accept-charset="utf-8">
+              <div id="inputswrapper">
                 <div><textarea id="input" class="boxsizingBorder" rows="5" name="i">This text makes me sad.
 whilst this text makes me happy and surprised at the same time.
-I cannot believe it!</textarea>
-                </div>
-                <!-- PARAMETERS -->
-                <div class="panel-group" id="parameters">
-                    <div class="panel panel-default">
-                        <div class="panel-heading">
-                            <h4 class="panel-title">
-                                Select the plugin.
-                            </h4>
+I cannot believe it!</textarea></div>
+                <label>Select the plugin:</label>
+                <select id="plugins" name="plugins" onchange="change_params()">
+                </select>
+                        </br>
+                        <div id ="params">
                         </div>
-                        <div id="plugin_selection" class="panel-collapse panel-body">
-                            <span id="pipeline"></span>
-                            <select name="plugins" class="plugin" onchange="plugin_selected()">
-                            </select>
-                            <span onclick="add_plugin_pipeline()"><span class="btn"><i class="fa fa-plus" title="Add more plugins to the pipeline. Processing order is left to right. i.e. the results of the leftmost plugin will be used as input for the second leftmost, and so on."></i></span></span>
-                            <label class="help-block " id="plugdescription"></label>
-                        </div>
-                    </div>
-                    <div class="panel panel-default">
-                        <a data-toggle="collapse" class="deco-none collapsed" href="#basic_params">
-                            <div class="panel-heading">
-                                <h4 class="panel-title">
-                                    <i class="fa fa-chevron-right pull-left expandicon"></i>
-                                    <i class="fa fa-chevron-down pull-left collapseicon"></i>
-                                    Basic API parameters
-                                </h4>
-                            </div>
-                        </a>
-                        <div id="basic_params" class="panel-collapse collapse panel-body">
-                        </div>
-                    </div>
-                    <div class="panel panel-default">
-                        <a data-toggle="collapse" class="deco-none" href="#extra_params">
-                            <div class="panel-heading">
-                                <h4 class="panel-title">
-                                    <i class="fa fa-chevron-right pull-left expandicon"></i>
-                                    <i class="fa fa-chevron-down pull-left collapseicon"></i>
-                                    Plugin extra parameters
-                                </h4>
-                            </div>
-                        </a>
-                        <div id="extra_params" class="panel-collapse collapse in panel-body">
-                        </div>
-                    </div>
-                </div> 
-                <!-- END PARAMETERS -->
- 
+                </br>
                 <a id="preview" class="btn btn-lg btn-primary" onclick="load_JSON()">Analyse!</a>
-                <div id="loading-results" class="loading"></div>
                 <!--<button id="visualise" name="type" type="button">Visualise!</button>-->
+              </div>
             </form>
           </div>
             <span id="input_request"></span>
             <div id="results-div">
               <ul class="nav nav-tabs" role="tablist">
-                <li role="presentation" class="active"><a data-toggle="tab" class="active" href="#viewer">Viewer</a></li>
-                <li role="presentation"><a data-toggle="tab" class="active" href="#raw">Raw</a></li>
+                <li role="presentation" class="active"><a class="active" href="#viewer">Viewer</a></li>
+                <li role="presentation"><a class="active" href="#raw">Raw</a></li>
               </ul>
               <div class="tab-content" id="results-container">
                 
@@ -168,7 +119,7 @@ I cannot believe it!</textarea>
                   </div>
                 </div>
                 
-                <div class="tab-pane"  id="raw">
+                <div class="tab-pane" id="raw">
                   <div id="content">
                     <pre id="jsonraw" class="results"></pre>
                   </div>
@@ -176,73 +127,6 @@ I cannot believe it!</textarea>
               </div>
             </div>
         </div>
-
-        {% if evaluation %}
-
-        <div class="tab-pane" id="evaluate">
-          <div class="well">
-            <form id="form" class="container" onsubmit="return getPlugins();" accept-charset="utf-8">
-                <div>
-                    <label>Select the plugin:</label>
-                    <select id="plugins-eval" name="plugins-eval" class=plugin onchange="draw_extra_parameters()">
-                    </select>
-                </div>
-                <div>
-                    <label>Select the datasets:</label>
-                    <div id="datasets" name="datasets" >
-                    </select>
-                </div>
- 
-                <a id="doevaluate" class="btn btn-lg btn-primary" onclick="evaluate_JSON()">Evaluate Plugin!</a>
-                <!--<button id="visualise" name="type" type="button">Visualise!</button>-->
-            </form>
-          </div>
-            <span id="input_request_eval"></span>
-            <div id="evaluate-div">
-              <ul class="nav nav-tabs" role="tablist">
-                <li role="presentation" class="active"><a data-toggle="tab" class="active" href="#evaluate-viewer">Viewer</a></li>
-                <li role="presentation"><a data-toggle="tab" class="active" href="#evaluate-raw">Raw</a></li>
-                <li role="presentation"><a data-toggle="tab" class="active" href="#evaluate-table">Table</a></li>
-              </ul>
-              <div class="tab-content" id="evaluate-container">
-                
-                <div class="tab-pane active" id="evaluate-viewer">
-                  <div id="content">
-                    <pre id="results_eval" class="results_eval"></pre>
-                  </div>
-                </div>
-                
-                <div class="tab-pane"  id="evaluate-raw">
-                  <div id="content">
-                    <pre id="jsonraw_eval" class="results_eval"></pre>
-                  </div>
-                </div>
-                <div class="tab-pane"  id="evaluate-table">
-                    <table id="eval_table" class="table table-condensed">
-                      <thead>
-                        <tr>
-                        <th>Plugin</th>
-                        <th>Dataset</th>
-                        <th>Accuracy</th>
-                        <th>Precision_macro</th>
-                        <th>Recall_macro</th>
-                        <th>F1_macro</th>
-                        <th>F1_weighted</th>
-                        <th>F1_micro</th>
-                        <th>F1</th>
-                        </tr>
-                      </thead>
-                      <tbody>
-                      </tbody>
-                    </table>
-                  </div>
-                </div>
-                </div>
-              </div>
-            </div>
-            {% endif %}
-        </div>
-
         <a href="http://www.gsi.dit.upm.es" target="_blank"><img class="center-block" src="static/img/gsi.png"/>  </a> 
 
       </div>

senpy/testing.py

@@ -1,36 +0,0 @@
-try:
-    from unittest.mock import patch, MagicMock
-except ImportError:
-    from mock import patch, MagicMock
-
-from past.builtins import basestring
-
-
-import json
-from contextlib import contextmanager
-
-from .models import BaseModel
-
-
-@contextmanager
-def patch_requests(value, code=200):
-    success = MagicMock()
-    if isinstance(value, BaseModel):
-        value = value.jsonld()
-    if not isinstance(value, basestring):
-        data = json.dumps(value)
-    else:
-        data = value
-
-    success.json.return_value = value
-
-    success.status_code = code
-    success.content = data
-    success.text = data
-
-    method_mocker = MagicMock()
-    method_mocker.return_value = success
-    with patch.multiple('requests', request=method_mocker,
-                        get=method_mocker, post=method_mocker):
-        yield method_mocker, success
-        assert method_mocker.called

senpy/utils.py

@@ -1,107 +0,0 @@
-from . import models, __version__
-from collections import MutableMapping
-import pprint
-import pdb
-
-import logging
-logger = logging.getLogger(__name__)
-
-# MutableMapping should be enough, but it causes problems with py2
-DICTCLASSES = (MutableMapping, dict, models.BaseModel)
-
-
-def check_template(indict, template):
-    if isinstance(template, DICTCLASSES) and isinstance(indict, DICTCLASSES):
-        for k, v in template.items():
-            if k not in indict:
-                raise models.Error('{} not in {}'.format(k, indict))
-            check_template(indict[k], v)
-    elif isinstance(template, list) and isinstance(indict, list):
-        for e in template:
-            for i in indict:
-                try:
-                    check_template(i, e)
-                    break
-                except models.Error as ex:
-                    # raise
-                    continue
-            else:
-                raise models.Error(('Element not found.'
-                                   '\nExpected: {}\nIn: {}').format(pprint.pformat(e),
-                                                                    pprint.pformat(indict)))
-    else:
-        if indict != template:
-            raise models.Error(('Differences found.\n'
-                                '\tExpected: {}\n'
-                                '\tFound: {}').format(pprint.pformat(template),
-                                                      pprint.pformat(indict)))
-
-
-def convert_dictionary(original, mappings):
-    result = {}
-    for key, value in original.items():
-        if key in mappings:
-            key = mappings[key]
-        result[key] = value
-    return result
-
-
-def easy_load(app=None, plugin_list=None, plugin_folder=None, **kwargs):
-    '''
-    Run a server with a specific plugin.
-    '''
-
-    from flask import Flask
-    from .extensions import Senpy
-
-    if not app:
-        app = Flask(__name__)
-    sp = Senpy(app, plugin_folder=plugin_folder, **kwargs)
-    if not plugin_list:
-        from . import plugins
-        import __main__
-        plugin_list = plugins.from_module(__main__)
-    for plugin in plugin_list:
-        sp.add_plugin(plugin)
-    sp.install_deps()
-    sp.activate_all()
-    return sp, app
-
-
-def easy_test(plugin_list=None, debug=True):
-    logger.setLevel(logging.DEBUG)
-    logging.getLogger().setLevel(logging.INFO)
-    try:
-        if not plugin_list:
-            import __main__
-            logger.info('Loading classes from {}'.format(__main__))
-            from . import plugins
-            plugin_list = plugins.from_module(__main__)
-        for plug in plugin_list:
-            plug.test()
-            plug.log.info('My tests passed!')
-        logger.info('All tests passed for {} plugins!'.format(len(plugin_list)))
-    except Exception:
-        if not debug:
-            raise
-        pdb.post_mortem()
-
-
-def easy(host='0.0.0.0', port=5000, debug=True, **kwargs):
-    '''
-    Run a server with a specific plugin.
-    '''
-    logging.getLogger().setLevel(logging.DEBUG)
-    logging.getLogger('senpy').setLevel(logging.INFO)
-    sp, app = easy_load(**kwargs)
-    easy_test(sp.plugins())
-    app.debug = debug
-    import time
-    logger.info(time.time())
-    logger.info('Senpy version {}'.format(__version__))
-    logger.info('Server running on port %s:%d. Ctrl+C to quit' % (host,
-                                                                  port))
-    app.debug = debug
-    app.run(host,
-            port,
-            debug=app.debug)

setup.py

@@ -1,20 +1,20 @@
+import pip
 from setuptools import setup
+# parse_requirements() returns generator of pip.req.InstallRequirement objects
+from pip.req import parse_requirements
+from senpy import __version__
 
-with open('senpy/VERSION') as f:
-    __version__ = f.read().strip()
-    assert __version__
+try:
+    install_reqs = parse_requirements(
+        "requirements.txt", session=pip.download.PipSession())
+    test_reqs = parse_requirements(
+        "test-requirements.txt", session=pip.download.PipSession())
+except AttributeError:
+    install_reqs = parse_requirements("requirements.txt")
+    test_reqs = parse_requirements("test-requirements.txt")
 
-
-def parse_requirements(filename):
-    """ load requirements from a pip requirements file """
-    with open(filename, 'r') as f:
-        lineiter = list(line.strip() for line in f)
-    return [line for line in lineiter if line and not line.startswith("#")]
-
-
-install_reqs = parse_requirements("requirements.txt")
-test_reqs = parse_requirements("test-requirements.txt")
-extra_reqs = parse_requirements("extra-requirements.txt")
+install_reqs = [str(ir.req) for ir in install_reqs]
+test_reqs = [str(ir.req) for ir in test_reqs]
 
 
 setup(
@@ -34,9 +34,6 @@ setup(
     install_requires=install_reqs,
     tests_require=test_reqs,
     setup_requires=['pytest-runner', ],
-    extras_require={
-        'evaluation': extra_reqs
-    },
     include_package_data=True,
     entry_points={
         'console_scripts':

test-requirements.txt

@@ -1,5 +1,3 @@
 mock
 pytest-cov
 pytest
-scikit-learn
-numpy

tests/plugins/async_plugin/asyncplugin.py

@@ -1,4 +1,4 @@
-from senpy import AnalysisPlugin
+from senpy.plugins import AnalysisPlugin
 
 import multiprocessing
 
@@ -7,15 +7,10 @@ def _train(process_number):
     return process_number
 
 
-class Async(AnalysisPlugin):
-    '''An example of an asynchronous module'''
-    author = '@balkian'
-    version = '0.2'
-    async = True
-
+class AsyncPlugin(AnalysisPlugin):
     def _do_async(self, num_processes):
         pool = multiprocessing.Pool(processes=num_processes)
-        values = sorted(pool.map(_train, range(num_processes)))
+        values = pool.map(_train, range(num_processes))
 
         return values
 
@@ -26,12 +21,3 @@ class Async(AnalysisPlugin):
         values = self._do_async(2)
         entry.async_values = values
         yield entry
-
-    test_cases = [
-        {
-            'input': 'any',
-            'expected': {
-                'async_values': [0, 1]
-            }
-        }
-    ]

tests/plugins/async_plugin/asyncplugin.senpy

@@ -0,0 +1,8 @@
+---
+name: Async
+module: asyncplugin
+description: I am async
+author: "@balkian"
+version: '0.1'
+async: true
+extra_params: {}

tests/plugins/dummy_plugin/dummy.py

@@ -0,0 +1,8 @@
+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

tests/plugins/dummy_plugin/dummy.senpy

@@ -0,0 +1,15 @@
+{
+    "name": "Dummy",
+    "module": "dummy",
+    "description": "I am dummy",
+    "author": "@balkian",
+    "version": "0.1",
+    "extra_params": {
+        "example": {
+            "@id": "example_parameter",
+            "aliases": ["example", "ex"],
+            "required": false,
+            "default": 0
+        }
+    }
+}

tests/plugins/dummy_plugin/dummy_required.senpy

@@ -0,0 +1,14 @@
+{
+    "name": "DummyRequired",
+    "module": "dummy",
+    "description": "I am dummy",
+    "author": "@balkian",
+    "version": "0.1",
+    "extra_params": {
+        "example": {
+            "@id": "example_parameter",
+            "aliases": ["example", "ex"],
+            "required": true
+        }
+    }
+}

tests/plugins/sleep_plugin/sleep.py

@@ -0,0 +1,11 @@
+from senpy.plugins import AnalysisPlugin
+from time import sleep
+
+
+class SleepPlugin(AnalysisPlugin):
+    def activate(self, *args, **kwargs):
+        sleep(self.timeout)
+
+    def analyse_entry(self, entry, params):
+        sleep(float(params.get("timeout", self.timeout)))
+        yield entry

tests/plugins/sleep_plugin/sleep.senpy

@@ -0,0 +1,16 @@
+{
+    "name": "Sleep",
+    "module": "sleep",
+    "description": "I am dummy",
+    "author": "@balkian",
+    "version": "0.1",
+    "timeout": 0.5,
+    "extra_params": {
+        "timeout": {
+            "@id": "timeout_sleep",
+            "aliases": ["timeout", "to"],
+            "required": false,
+            "default": 0
+        }
+     }
+}

tests/test_api.py

@@ -11,63 +11,51 @@ class APITest(TestCase):
 
     def test_api_params(self):
         """The API should not define any required parameters without a default"""
-        parse_params({}, API_PARAMS)
+        parse_params({}, spec=API_PARAMS)
 
     def test_web_params(self):
         """The WEB should not define any required parameters without a default"""
-        parse_params({}, WEB_PARAMS)
+        parse_params({}, spec=WEB_PARAMS)
 
     def test_basic(self):
         a = {}
-        self.assertRaises(Error, parse_params, a)
-        self.assertRaises(Error, parse_params, a, NIF_PARAMS)
+        try:
+            parse_params(a, spec=NIF_PARAMS)
+            raise AssertionError()
+        except Error:
+            pass
         a = {'input': 'hello'}
-        p = parse_params(a, NIF_PARAMS)
+        p = parse_params(a, spec=NIF_PARAMS)
         assert 'input' in p
         b = {'i': 'hello'}
-        p = parse_params(b, NIF_PARAMS)
+        p = parse_params(b, spec=NIF_PARAMS)
         assert 'input' in p
 
     def test_plugin(self):
         query = {}
         plug_params = {
             'hello': {
-                'aliases': ['hiya', 'hello'],
+                'aliases': ['hello', 'hiya'],
                 'required': True
             }
         }
-        self.assertRaises(Error, parse_params, plug_params)
+        try:
+            parse_params(query, spec=plug_params)
+            raise AssertionError()
+        except Error:
+            pass
         query['hello'] = 'world'
-        p = parse_params(query, plug_params)
+        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, plug_params)
+        p = parse_params(query, spec=plug_params)
         assert 'hello' in p
+        assert 'hiya' in p
         assert p['hello'] == 'dlrow'
 
-    def test_parameters2(self):
-        in1 = {
-            'meaningcloud-key': 5
-        }
-        in2 = {
-            'apikey': 25
-        }
-        extra_params = {
-            "apikey": {
-                "aliases": [
-                    "apikey",
-                    "meaningcloud-key"
-                ],
-                "required": True
-            }
-        }
-        p1 = parse_params(in1, extra_params)
-        p2 = parse_params(in2, extra_params)
-        assert (p2['apikey'] / p1['apikey']) == 5
-
     def test_default(self):
         spec = {
             'hello': {
@@ -75,17 +63,6 @@ class APITest(TestCase):
                 'default': 1
             }
         }
-        p = parse_params({}, spec)
+        p = parse_params({}, spec=spec)
         assert 'hello' in p
         assert p['hello'] == 1
-
-    def test_call(self):
-        call = {
-            'input': "Aloha my friend",
-            'algo': "Dummy"
-        }
-        p = parse_params(call, API_PARAMS, NIF_PARAMS)
-        assert 'algorithm' in p
-        assert "Dummy" in p['algorithm']
-        assert 'input' in p
-        assert p['input'] == 'Aloha my friend'

tests/test_blueprints.py

@@ -17,34 +17,25 @@ def parse_resp(resp):
 
 
 class BlueprintsTest(TestCase):
-    @classmethod
-    def setUpClass(cls):
-        """Set up only once, and re-use in every individual test"""
-        cls.app = Flask("test_extensions")
-        cls.client = cls.app.test_client()
-        cls.senpy = Senpy(default_plugins=True)
-        cls.senpy.init_app(cls.app)
-        cls.dir = os.path.join(os.path.dirname(__file__), "..")
-        cls.senpy.add_folder(cls.dir)
-        cls.senpy.activate_plugin("Dummy", sync=True)
-        cls.senpy.activate_plugin("DummyRequired", sync=True)
-        cls.senpy.default_plugin = 'Dummy'
-
     def setUp(self):
-        self.app.config['TESTING'] = True  # Tell Flask not to catch Exceptions
+        self.app = Flask("test_extensions")
+        self.app.debug = False
+        self.client = self.app.test_client()
+        self.senpy = Senpy()
+        self.senpy.init_app(self.app)
+        self.dir = os.path.join(os.path.dirname(__file__), "..")
+        self.senpy.add_folder(self.dir)
+        self.senpy.activate_plugin("Dummy", sync=True)
+        self.senpy.activate_plugin("DummyRequired", sync=True)
+        self.senpy.default_plugin = 'Dummy'
 
     def assertCode(self, resp, code):
         self.assertEqual(resp.status_code, code)
 
-    def test_playground(self):
-        resp = self.client.get("/")
-        assert "main.js" in resp.get_data(as_text=True)
-
     def test_home(self):
         """
         Calling with no arguments should ask the user for more arguments
         """
-        self.app.config['TESTING'] = False  # Errors are expected in this case
         resp = self.client.get("/api/")
         self.assertCode(resp, 400)
         js = parse_resp(resp)
@@ -61,7 +52,7 @@ class BlueprintsTest(TestCase):
         The dummy plugin returns an empty response,\
         it should contain the context
         """
-        resp = self.client.get("/api/?i=My aloha mohame&with_parameters=True")
+        resp = self.client.get("/api/?i=My aloha mohame")
         self.assertCode(resp, 200)
         js = parse_resp(resp)
         logging.debug("Got response: %s", js)
@@ -72,7 +63,7 @@ class BlueprintsTest(TestCase):
         """
         Extra params that have a default should
         """
-        resp = self.client.get("/api/?i=My aloha mohame&algo=Dummy&with_parameters=true")
+        resp = self.client.get("/api/?i=My aloha mohame&algo=Dummy")
         self.assertCode(resp, 200)
         js = parse_resp(resp)
         logging.debug("Got response: %s", js)
@@ -84,23 +75,17 @@ class BlueprintsTest(TestCase):
         Extra params that have a required argument that does not
         have a default should raise an error.
         """
-        self.app.config['TESTING'] = False  # Errors are expected in this case
         resp = self.client.get("/api/?i=My aloha mohame&algo=DummyRequired")
         self.assertCode(resp, 400)
         js = parse_resp(resp)
         logging.debug("Got response: %s", js)
         assert isinstance(js, models.Error)
-        resp = self.client.get("/api/?i=My aloha mohame&algo=DummyRequired&example=notvalid")
-        self.assertCode(resp, 400)
-        resp = self.client.get("/api/?i=My aloha mohame&algo=DummyRequired&example=a")
-        self.assertCode(resp, 200)
 
     def test_error(self):
         """
         The dummy plugin returns an empty response,\
         it should contain the context
         """
-        self.app.config['TESTING'] = False  # Errors are expected in this case
         resp = self.client.get("/api/?i=My aloha mohame&algo=DOESNOTEXIST")
         self.assertCode(resp, 404)
         js = parse_resp(resp)
@@ -142,7 +127,7 @@ class BlueprintsTest(TestCase):
         js = parse_resp(resp)
         logging.debug(js)
         assert "@id" in js
-        assert js["@id"] == "endpoint:plugins/Dummy_0.1"
+        assert js["@id"] == "plugins/Dummy_0.1"
 
     def test_default(self):
         """ Show only one plugin"""
@@ -151,7 +136,7 @@ class BlueprintsTest(TestCase):
         js = parse_resp(resp)
         logging.debug(js)
         assert "@id" in js
-        assert js["@id"] == "endpoint:plugins/Dummy_0.1"
+        assert js["@id"] == "plugins/Dummy_0.1"
 
     def test_context(self):
         resp = self.client.get("/api/contexts/context.jsonld")
@@ -165,16 +150,5 @@ class BlueprintsTest(TestCase):
     def test_schema(self):
         resp = self.client.get("/api/schemas/definitions.json")
         self.assertCode(resp, 200)
-        assert "$schema" in resp.data.decode()
-
-    def test_help(self):
-        resp = self.client.get("/api/?help=true")
-        self.assertCode(resp, 200)
         js = parse_resp(resp)
-        assert "valid_parameters" in js
-        assert "help" in js["valid_parameters"]
-
-    def test_conversion(self):
-        self.app.config['TESTING'] = False  # Errors are expected in this case
-        resp = self.client.get("/api/?input=hello&algo=emoRand&emotionModel=DOES NOT EXIST")
-        self.assertCode(resp, 404)
+        assert "$schema" in js