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mirror of https://github.com/gsi-upm/senpy synced 2024-12-22 13:08:13 +00:00

V 0.2.2 - Better plugins

This commit is contained in:
J. Fernando Sánchez 2014-10-17 19:06:19 +02:00
parent 8405e5deef
commit e06fc2e671
10 changed files with 200 additions and 68 deletions

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@ -18,13 +18,15 @@
Sentiment analysis server in Python
'''
from blueprints import nif_blueprint
from extensions import Senpy
import extensions
import blueprints
import plugins
if __name__ == '__main__':
from flask import Flask
app = Flask(__name__)
app.register_blueprint(nif_server)
sp = extensions.Senpy()
sp.init_app(app)
app.debug = config.DEBUG
app.run()

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@ -1,7 +1,7 @@
from flask import Flask
from extensions import Senpy
app = Flask(__name__)
app.debug = True
sp = Senpy()
sp.init_app(app)
app.debug = True
app.run()

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@ -55,8 +55,10 @@ PARAMS = {"input": {"aliases": ["i", "input"],
},
}
def get_algorithm(req):
return get_params(req, params={"algorithm": PARAMS["algorithm"]})
def get_params(req):
def get_params(req, params=PARAMS):
indict = None
if req.method == 'POST':
indict = req.form
@ -67,20 +69,20 @@ def get_params(req):
outdict = {}
wrongParams = {}
for param, options in PARAMS.iteritems():
for param, options in params.iteritems():
for alias in options["aliases"]:
if alias in indict:
outdict[param] = indict[alias]
if param not in outdict:
if options.get("required", False):
wrongParams[param] = PARAMS[param]
wrongParams[param] = params[param]
else:
if "default" in options:
outdict[param] = options["default"]
else:
if "options" in PARAMS[param] and \
outdict[param] not in PARAMS[param]["options"]:
wrongParams[param] = PARAMS[param]
if "options" in params[param] and \
outdict[param] not in params[param]["options"]:
wrongParams[param] = params[param]
if wrongParams:
message = {"status": "failed", "message": "Missing or invalid parameters"}
message["parameters"] = outdict
@ -111,7 +113,10 @@ def basic_analysis(params):
@nif_blueprint.route('/', methods=['POST', 'GET'])
def home(entries=None):
try:
params = get_params(request)
algo = get_algorithm(request)["algorithm"]
specific_params = PARAMS.copy()
specific_params.update(current_app.senpy.parameters(algo))
params = get_params(request, specific_params)
except ValueError as ex:
return ex.message
response = current_app.senpy.analyse(**params)
@ -127,7 +132,7 @@ def plugins(plugin=None, action="list"):
else:
plugs = current_app.senpy.plugins
if action == "list":
dic = {plug:plugs[plug].enabled for plug in plugs}
dic = {plug:plugs[plug].jsonable(True) for plug in plugs}
return jsonify(dic)
elif action == "disable":
plugs[plugin].enabled = False

38
senpy/context.jsonld Normal file
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@ -0,0 +1,38 @@
{
"dc": "http://purl.org/dc/terms/",
"dc:subject": {
"@type": "@id"
},
"xsd": "http://www.w3.org/2001/XMLSchema#",
"marl": "http://www.gsi.dit.upm.es/ontologies/marl/ns#",
"nif": "http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#",
"onyx": "http://www.gsi.dit.upm.es/ontologies/onyx/ns#",
"emotions": {
"@id": "onyx:hasEmotionSet",
"@type": "onyx:EmotionSet"
},
"opinions": {
"@container": "@list",
"@id": "marl:hasOpinion",
"@type": "marl:Opinion"
},
"prov": "http://www.w3.org/ns/prov#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"analysis": {
"@id": "prov:wasInformedBy"
},
"entries": {
"@id": "prov:generated"
},
"strings": {
"@reverse": "nif:hasContext",
"@type": "nif:String"
},
"date":
{
"@id": "dc:date",
"@type": "xsd:dateTime"
},
"wnaffect": "http://www.gsi.dit.upm.es/ontologies/wnaffect#",
"xsd": "http://www.w3.org/2001/XMLSchema#"
}

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@ -44,13 +44,21 @@ class Senpy(object):
if "algorithm" in params:
algo = params["algorithm"]
if algo in self.plugins and self.plugins[algo].enabled:
return self.plugins[algo].plugin.analyse(**params)
plug = self.plugins[algo]
resp = plug.analyse(**params)
resp.analysis.append(plug.jsonable())
return resp
return {"status": 500, "message": "No valid algorithm"}
def parameters(self, algo):
if algo in self.plugins:
if hasattr(self.plugins[algo], "parameters"):
return self.plugins[algo].parameters
return {}
def _load_plugin(self, plugin, search_folder, enabled=True):
sys.path.append(search_folder)
tmp = importlib.import_module(plugin)
tmp = importlib.import_module(plugin).plugin
sys.path.remove(search_folder)
tmp.path = search_folder
try:
@ -95,7 +103,6 @@ class Senpy(object):
if ctx is not None:
if not hasattr(self, '_plugins'):
self._plugins = self._load_plugins()
print("Already plugins")
return self._plugins
if __name__ == '__main__':

59
senpy/models.py Normal file
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@ -0,0 +1,59 @@
import json
import os
from collections import defaultdict
class Leaf(defaultdict):
def __init__(self, ofclass=list):
super(Leaf, self).__init__(ofclass)
def __getattr__(self, name):
return super(Leaf, self).__getitem__(name)
def __setattr__(self, name, value):
self[name] = value
def __delattr__(self, name):
return super(Leaf, self).__delitem__(name)
class Response(Leaf):
def __init__(self, context=None):
super(Response, self).__init__()
self["analysis"] = []
self["entries"] = []
if context is None:
context = "{}/context.jsonld".format(os.path.dirname(
os.path.realpath(__file__)))
if isinstance(context, dict):
self["@context"] = context
if isinstance(context, basestring):
try:
with open(context) as f:
self["@context"] = json.loads(f.read())
except IOError:
self["@context"] = context
class Entry(Leaf):
def __init__(self, text=None, emotionSets=None, opinions=None, **kwargs):
super(Entry, self).__init__(**kwargs)
if text:
self.text = text
if emotionSets:
self.emotionSets = emotionSets
if opinions:
self.opinions = opinions
class Opinion(Leaf):
def __init__(self, polarityValue=None, polarity=None, **kwargs):
super(Opinion, self).__init__(**kwargs)
if polarityValue is not None:
self.polarityValue = polarityValue
if polarity is not None:
self.polarity = polarity
class EmotionSet(Leaf):
def __init__(self, emotions=[], **kwargs):
super(EmotionSet, self).__init__(**kwargs)
self.emotions = emotions or []

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@ -1,34 +0,0 @@
class SenpyPlugin(object):
def __init__(self, name=None, version=None, params=None):
self.name = name
self.version = version
self.params = params or []
def analyse(self, *args, **kwargs):
pass
def activate(self):
pass
def deactivate(self):
pass
class SentimentPlugin(SenpyPlugin):
def __init__(self,
minPolarity=0,
maxPolarity=1,
**kwargs):
super(SentimentPlugin, self).__init__(**kwargs)
self.minPolarity = minPolarity
self.maxPolarity = maxPolarity
class EmotionPlugin(SenpyPlugin):
def __init__(self,
minEmotionValue=0,
maxEmotionValue=1,
emotionCategory=None,
**kwargs):
super(EmotionPlugin, self).__init__(**kwargs)
self.minEmotionValue = minEmotionValue
self.maxEmotionValue = maxEmotionValue
self.emotionCategory = emotionCategory

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@ -0,0 +1,54 @@
class SenpyPlugin(object):
def __init__(self, name=None, version=None, params=None):
self.name = name
self.version = version
self.params = params or []
def analyse(self, *args, **kwargs):
pass
def activate(self):
pass
def deactivate(self):
pass
def jsonable(self, parameters=False):
resp = {
"@id": "{}_{}".format(self.name, self.version),
}
if parameters:
resp["parameters"] = self.params,
return resp
class SentimentPlugin(SenpyPlugin):
def __init__(self,
minPolarityValue=0,
maxPolarityValue=1,
**kwargs):
super(SentimentPlugin, self).__init__(**kwargs)
self.minPolarityValue = minPolarityValue
self.maxPolarityValue = maxPolarityValue
def jsonable(self, *args, **kwargs):
resp = super(SentimentPlugin, self).jsonable(*args, **kwargs)
resp["marl:maxPolarityValue"] = self.maxPolarityValue
resp["marl:minPolarityValue"] = self.minPolarityValue
return resp
class EmotionPlugin(SenpyPlugin):
def __init__(self,
minEmotionValue=0,
maxEmotionValue=1,
emotionCategory=None,
**kwargs):
super(EmotionPlugin, self).__init__(**kwargs)
self.minEmotionValue = minEmotionValue
self.maxEmotionValue = maxEmotionValue
self.emotionCategory = emotionCategory
def jsonable(self, *args, **kwargs):
resp = super(EmotionPlugin, self).jsonable(*args, **kwargs)
resp["onyx:minEmotionValue"] = self.minEmotionValue
resp["onyx:maxEmotionValue"] = self.maxEmotionValue
return resp

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@ -4,26 +4,31 @@ import json
import sys
print(sys.path)
from senpy.plugin import SentimentPlugin
from senpy.plugins import SentimentPlugin
from senpy.models import Response, Opinion, Entry
class Sentiment140Plugin(SentimentPlugin):
parameters = {
"language": {"aliases": ["language", "l"],
"required": False,
"options": ["es", "en", "auto"],
}
}
def __init__(self, **kwargs):
super(Sentiment140Plugin, self).__init__(name="Sentiment140",
version="1.0",
**kwargs)
def analyse(self, **params):
lang = params.get("language", "auto")
res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",
json.dumps({
"language": "auto",
"language": lang,
"data": [{"text": params["input"]}]}
))
response = {"analysis": [{}], "entries": []}
response["analysis"][0].update({ "marl:algorithm": "SimpleAlgorithm",
"marl:minPolarityValue": 0,
"marl:maxPolarityValue": 100})
response = Response()
polarityValue = int(res.json()["data"][0]["polarity"]) * 25
polarity = "marl:Neutral"
if polarityValue > 50:
@ -31,17 +36,12 @@ class Sentiment140Plugin(SentimentPlugin):
elif polarityValue < 50:
polarity = "marl:Negative"
response["entries"] = [
{
"isString": params["input"],
"opinions": [{
"marl:polarityValue": polarityValue,
"marl:hasPolarity": polarity
}]
}
]
entry = Entry(text=params["input"])
opinion = Opinion(polarity=polarity, polarityValue=polarityValue)
entry.opinions.append(opinion)
entry.language = lang
response.entries.append(entry)
return response

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@ -1,8 +1,9 @@
from distutils.core import setup
from setuptools import setup
setup(
name = 'senpy',
packages = ['senpy'], # this must be the same as the name above
version = '0.2',
version = '0.2.2',
description = '''
A sentiment analysis server implementation. Designed to be \
extendable, so new algorithms and sources can be used.
@ -10,7 +11,7 @@ extendable, so new algorithms and sources can be used.
author = 'J. Fernando Sanchez',
author_email = 'balkian@gmail.com',
url = 'https://github.com/balkian/senpy', # use the URL to the github repo
download_url = 'https://github.com/balkian/senpy/archive/0.2.tar.gz', # I'll explain this in a second
download_url = 'https://github.com/balkian/senpy/archive/0.2.2.tar.gz',
keywords = ['eurosentiment', 'sentiment', 'emotions', 'nif'], # arbitrary keywords
classifiers = [],
)