mirror of
https://github.com/gsi-upm/senpy
synced 2024-11-22 00:02:28 +00:00
J. Fernando Sánchez
parent
70ca74b03c
commit
a8614bab0c
@ -113,8 +113,11 @@ def basic_api(f):
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@api_blueprint.route('/', methods=['POST', 'GET'])
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@basic_api
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def api():
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response = current_app.senpy.analyse(**request.params)
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return response
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try:
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response = current_app.senpy.analyse(**request.params)
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return response
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except Error as ex:
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return ex
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@api_blueprint.route('/plugins/', methods=['POST', 'GET'])
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@ -7,7 +7,7 @@ standard_library.install_aliases()
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from . import plugins
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from .plugins import SenpyPlugin
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from .models import Error, Entry, Results
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from .models import Error, Entry, Results, from_dict
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from .blueprints import api_blueprint, demo_blueprint, ns_blueprint
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from .api import API_PARAMS, NIF_PARAMS, parse_params
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@ -78,70 +78,101 @@ class Senpy(object):
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else:
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logger.debug("Not a folder: %s", folder)
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def _find_plugin(self, params):
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api_params = parse_params(params, spec=API_PARAMS)
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algo = None
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if "algorithm" in api_params and api_params["algorithm"]:
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algo = api_params["algorithm"]
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elif self.plugins:
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algo = self.default_plugin and self.default_plugin.name
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if not algo:
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def _find_plugins(self, params):
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if not self.analysis_plugins:
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raise Error(
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status=404,
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message=("No plugins found."
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" Please install one.").format(algo))
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if algo not in self.plugins:
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logger.debug(("The algorithm '{}' is not valid\n"
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"Valid algorithms: {}").format(algo,
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self.plugins.keys()))
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" Please install one."))
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api_params = parse_params(params, spec=API_PARAMS)
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algos = None
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if "algorithm" in api_params and api_params["algorithm"]:
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algos = api_params["algorithm"].split(',')
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elif self.default_plugin:
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algos = [self.default_plugin.name, ]
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else:
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raise Error(
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status=404,
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message="The algorithm '{}' is not valid".format(algo))
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message="No default plugin found, and None provided")
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if not self.plugins[algo].is_activated:
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logger.debug("Plugin not activated: {}".format(algo))
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raise Error(
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status=400,
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message=("The algorithm '{}'"
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" is not activated yet").format(algo))
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return self.plugins[algo]
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plugins = list()
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for algo in algos:
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if algo not in self.plugins:
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logger.debug(("The algorithm '{}' is not valid\n"
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"Valid algorithms: {}").format(algo,
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self.plugins.keys()))
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raise Error(
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status=404,
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message="The algorithm '{}' is not valid".format(algo))
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def _get_params(self, params, plugin):
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if not self.plugins[algo].is_activated:
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logger.debug("Plugin not activated: {}".format(algo))
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raise Error(
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status=400,
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message=("The algorithm '{}'"
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" is not activated yet").format(algo))
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plugins.append(self.plugins[algo])
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return plugins
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def _get_params(self, params, plugin=None):
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nif_params = parse_params(params, spec=NIF_PARAMS)
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extra_params = plugin.get('extra_params', {})
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specific_params = parse_params(params, spec=extra_params)
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nif_params.update(specific_params)
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if plugin:
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extra_params = plugin.get('extra_params', {})
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specific_params = parse_params(params, spec=extra_params)
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nif_params.update(specific_params)
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return nif_params
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def _get_entries(self, params):
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entry = None
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if params['informat'] == 'text':
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results = Results()
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entry = Entry(text=params['input'])
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results.entries.append(entry)
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elif params['informat'] == 'json-ld':
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results = from_dict(params['input'])
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else:
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raise NotImplemented('Only text input format implemented')
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yield entry
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raise NotImplemented('Informat {} is not implemented'.format(params['informat']))
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return results
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def _process_entries(self, entries, plugins, nif_params):
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if not plugins:
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for i in entries:
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yield i
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return
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plugin = plugins[0]
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specific_params = self._get_params(nif_params, plugin)
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results = plugin.analyse_entries(entries, specific_params)
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for i in self._process_entries(results, plugins[1:], nif_params):
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yield i
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def _process_response(self, resp, plugins, nif_params):
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entries = resp.entries
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resp.entries = []
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for plug in plugins:
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resp.analysis.append(plug.id)
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for i in self._process_entries(entries, plugins, nif_params):
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resp.entries.append(i)
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return resp
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def analyse(self, **api_params):
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"""
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Main method that analyses a request, either from CLI or HTTP.
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It uses a dictionary of parameters, provided by the user.
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"""
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logger.debug("analysing with params: {}".format(api_params))
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plugin = self._find_plugin(api_params)
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nif_params = self._get_params(api_params, plugin)
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resp = Results()
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plugins = self._find_plugins(api_params)
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nif_params = self._get_params(api_params)
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resp = self._get_entries(nif_params)
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if 'with_parameters' in api_params:
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resp.parameters = nif_params
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try:
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entries = []
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for i in self._get_entries(nif_params):
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entries += list(plugin.analyse_entry(i, nif_params))
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resp.entries = entries
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self.convert_emotions(resp, plugin, nif_params)
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resp.analysis.append(plugin.id)
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resp = self._process_response(resp, plugins, nif_params)
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self.convert_emotions(resp, plugins, nif_params)
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logger.debug("Returning analysis result: {}".format(resp))
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except Error as ex:
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except (Error, Exception) as ex:
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if not isinstance(ex, Error):
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ex = Error(message=str(ex), status=500)
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logger.exception('Error returning analysis result')
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resp = ex
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except Exception as ex:
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logger.exception('Error returning analysis result')
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resp = Error(message=str(ex), status=500)
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raise ex
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return resp
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def _conversion_candidates(self, fromModel, toModel):
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@ -155,7 +186,7 @@ class Senpy(object):
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# logging.debug('Found candidate: {}'.format(candidate))
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yield candidate
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def convert_emotions(self, resp, plugin, params):
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def convert_emotions(self, resp, plugins, params):
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"""
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Conversion of all emotions in a response.
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In addition to converting from one model to another, it has
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@ -163,29 +194,35 @@ class Senpy(object):
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Needless to say, this is far from an elegant solution, but it works.
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@todo refactor and clean up
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"""
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fromModel = plugin.get('onyx:usesEmotionModel', None)
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toModel = params.get('emotionModel', None)
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output = params.get('conversion', None)
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logger.debug('Asked for model: {}'.format(toModel))
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logger.debug('Analysis plugin uses model: {}'.format(fromModel))
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if not toModel:
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return
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try:
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candidate = next(self._conversion_candidates(fromModel, toModel))
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except StopIteration:
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e = Error(('No conversion plugin found for: '
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'{} -> {}'.format(fromModel, toModel)))
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e.original_response = resp
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e.parameters = params
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raise e
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logger.debug('Asked for model: {}'.format(toModel))
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output = params.get('conversion', None)
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candidates = {}
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for plugin in plugins:
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try:
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fromModel = plugin.get('onyx:usesEmotionModel', None)
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candidates[plugin.id] = next(self._conversion_candidates(fromModel, toModel))
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logger.debug('Analysis plugin {} uses model: {}'.format(plugin.id, fromModel))
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except StopIteration:
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e = Error(('No conversion plugin found for: '
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'{} -> {}'.format(fromModel, toModel)))
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e.original_response = resp
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e.parameters = params
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raise e
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newentries = []
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resp.analysis = set(resp.analysis)
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for i in resp.entries:
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if output == "full":
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newemotions = copy.deepcopy(i.emotions)
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else:
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newemotions = []
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for j in i.emotions:
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plugname = j['prov:wasGeneratedBy']
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candidate = candidates[plugname]
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resp.analysis.add(candidate.id)
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for k in candidate.convert(j, fromModel, toModel, params):
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k.prov__wasGeneratedBy = candidate.id
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if output == 'nested':
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@ -194,7 +231,6 @@ class Senpy(object):
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i.emotions = newemotions
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newentries.append(i)
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resp.entries = newentries
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resp.analysis.append(candidate.id)
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@property
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def default_plugin(self):
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@ -57,6 +57,12 @@ class AnalysisPlugin(SenpyPlugin):
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for i in results.entries:
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yield i
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def analyse_entries(self, entries, parameters):
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for entry in entries:
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logger.debug('Analysing entry with plugin {}: {}'.format(self, entry))
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for result in self.analyse_entry(entry, parameters):
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yield result
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class ConversionPlugin(SenpyPlugin):
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pass
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@ -4,4 +4,5 @@ from senpy.plugins import SentimentPlugin
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class DummyPlugin(SentimentPlugin):
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def analyse_entry(self, entry, params):
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entry.text = entry.text[::-1]
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entry.reversed = entry.get('reversed', 0) + 1
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yield entry
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@ -10,7 +10,7 @@ except ImportError:
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from functools import partial
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from senpy.extensions import Senpy
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from senpy.models import Error, Results, Entry, EmotionSet, Emotion
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from senpy.models import Error, Results, Entry, EmotionSet, Emotion, Plugin
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from flask import Flask
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from unittest import TestCase
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@ -98,17 +98,26 @@ class ExtensionsTest(TestCase):
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def test_analyse_error(self):
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mm = mock.MagicMock()
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mm.analyse_entry.side_effect = Error('error on analysis', status=900)
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mm.id = 'magic_mock'
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mm.analyse_entries.side_effect = Error('error on analysis', status=500)
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self.senpy.plugins['MOCK'] = mm
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resp = self.senpy.analyse(input='nothing', algorithm='MOCK')
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assert resp['message'] == 'error on analysis'
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assert resp['status'] == 900
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try:
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self.senpy.analyse(input='nothing', algorithm='MOCK')
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assert False
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except Error as ex:
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assert ex['message'] == 'error on analysis'
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assert ex['status'] == 500
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mm.analyse.side_effect = Exception('generic exception on analysis')
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mm.analyse_entry.side_effect = Exception(
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mm.analyse_entries.side_effect = Exception(
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'generic exception on analysis')
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resp = self.senpy.analyse(input='nothing', algorithm='MOCK')
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assert resp['message'] == 'generic exception on analysis'
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assert resp['status'] == 500
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try:
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self.senpy.analyse(input='nothing', algorithm='MOCK')
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assert False
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except Error as ex:
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assert ex['message'] == 'generic exception on analysis'
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assert ex['status'] == 500
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def test_filtering(self):
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""" Filtering plugins """
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@ -125,11 +134,12 @@ class ExtensionsTest(TestCase):
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def test_convert_emotions(self):
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self.senpy.activate_all()
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plugin = {
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plugin = Plugin({
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'id': 'imaginary',
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'onyx:usesEmotionModel': 'emoml:fsre-dimensions'
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}
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})
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eSet1 = EmotionSet()
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eSet1.prov__wasGeneratedBy = plugin['id']
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eSet1['onyx:hasEmotion'].append(Emotion({
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'emoml:arousal': 1,
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'emoml:potency': 0,
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@ -145,19 +155,19 @@ class ExtensionsTest(TestCase):
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'conversion': 'full'}
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r1 = deepcopy(response)
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self.senpy.convert_emotions(r1,
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plugin,
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[plugin, ],
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params)
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assert len(r1.entries[0].emotions) == 2
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params['conversion'] = 'nested'
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r2 = deepcopy(response)
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self.senpy.convert_emotions(r2,
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plugin,
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[plugin, ],
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params)
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assert len(r2.entries[0].emotions) == 1
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assert r2.entries[0].emotions[0]['prov:wasDerivedFrom'] == eSet1
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params['conversion'] = 'filtered'
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r3 = deepcopy(response)
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self.senpy.convert_emotions(r3,
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plugin,
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[plugin, ],
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params)
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assert len(r3.entries[0].emotions) == 1
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