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senpy/senpy/api.py
2019-07-17 16:29:30 +02:00

426 lines
13 KiB
Python

#
# Copyright 2014 Grupo de Sistemas Inteligentes (GSI) DIT, UPM
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from future.utils import iteritems
from .models import Error, Results, Entry, from_string
import logging
logger = logging.getLogger(__name__)
boolean = [True, False]
processors = {
'string_to_tuple': lambda p: p if isinstance(p, (tuple, list)) else tuple(p.split(','))
}
API_PARAMS = {
"algorithm": {
"aliases": ["algorithms", "a", "algo"],
"required": True,
"default": 'default',
"processor": 'string_to_tuple',
"description": ("Algorithms that will be used to process the request."
"It may be a list of comma-separated names."),
},
"expanded-jsonld": {
"@id": "expanded-jsonld",
"description": "use JSON-LD expansion to get full URIs",
"aliases": ["expanded", "expanded_jsonld"],
"options": boolean,
"required": True,
"default": False
},
"with-parameters": {
"aliases": ['withparameters',
'with_parameters'],
"description": "include initial parameters in the response",
"options": boolean,
"default": False,
"required": True
},
"outformat": {
"@id": "outformat",
"aliases": ["o"],
"default": "json-ld",
"description": """The data can be semantically formatted (JSON-LD, turtle or n-triples),
given as a list of comma-separated fields (see the fields option) or constructed from a Jinja2
template (see the template option).""",
"required": True,
"options": ["json-ld", "turtle", "ntriples"],
},
"template": {
"@id": "template",
"required": False,
"description": """Jinja2 template for the result. The input data for the template will
be the results as a dictionary.
For example:
Consider the results before templating:
```
[{
"@type": "entry",
"onyx:hasEmotionSet": [],
"nif:isString": "testing the template",
"marl:hasOpinion": [
{
"@type": "sentiment",
"marl:hasPolarity": "marl:Positive"
}
]
}]
```
And the template:
```
{% for entry in entries %}
{{ entry["nif:isString"] | upper }},{{entry.sentiments[0]["marl:hasPolarity"].split(":")[1]}}
{% endfor %}
```
The final result would be:
```
TESTING THE TEMPLATE,Positive
```
"""
},
"fields": {
"@id": "fields",
"required": False,
"description": """A jmespath selector, that can be used to extract a new dictionary, array or value
from the results.
jmespath is a powerful query language for json and/or dictionaries.
It allows you to change the structure (and data) of your objects through queries.
e.g., the following expression gets a list of `[emotion label, intensity]` for each entry:
`entries[]."onyx:hasEmotionSet"[]."onyx:hasEmotion"[]["onyx:hasEmotionCategory","onyx:hasEmotionIntensity"]`
For more information, see: https://jmespath.org
"""
},
"help": {
"@id": "help",
"description": "Show additional help to know more about the possible parameters",
"aliases": ["h"],
"required": True,
"options": boolean,
"default": False
},
"verbose": {
"@id": "verbose",
"description": "Show all properties in the result",
"aliases": ["v"],
"required": True,
"options": boolean,
"default": False
},
"aliases": {
"@id": "aliases",
"description": "Replace JSON properties with their aliases",
"aliases": [],
"required": True,
"options": boolean,
"default": False
},
"emotion-model": {
"@id": "emotionModel",
"description": """Emotion model to use in the response.
Senpy will try to convert the output to this model automatically.
Examples: `wna:liking` and `emoml:big6`.
""",
"aliases": ["emoModel", "emotionModel"],
"required": False
},
"conversion": {
"@id": "conversion",
"description": """How to show the elements that have (not) been converted.
* full: converted and original elements will appear side-by-side
* filtered: only converted elements will be shown
* nested: converted elements will be shown, and they will include a link to the original element
(using `prov:wasGeneratedBy`).
""",
"required": True,
"options": ["filtered", "nested", "full"],
"default": "full"
}
}
EVAL_PARAMS = {
"algorithm": {
"aliases": ["plug", "p", "plugins", "algorithms", 'algo', 'a', 'plugin'],
"description": "Plugins to evaluate",
"required": True,
"help": "See activated plugins in /plugins",
"processor": API_PARAMS['algorithm']['processor']
},
"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", "plugin_type"],
"required": True,
"default": 'analysisPlugin'
}
}
WEB_PARAMS = {
"in-headers": {
"aliases": ["headers", "inheaders", "inHeaders", "in-headers", "in_headers"],
"description": "Only include the JSON-LD context in the headers",
"required": True,
"default": False,
"options": boolean
},
}
CLI_PARAMS = {
"plugin-folder": {
"aliases": ["folder", "plugin_folder"],
"required": True,
"default": "."
},
}
NIF_PARAMS = {
"input": {
"@id": "input",
"aliases": ["i"],
"required": True,
"help": "Input text"
},
"intype": {
"@id": "intype",
"description": "input type",
"aliases": ["t"],
"required": False,
"default": "direct",
"options": ["direct", "url", "file"],
},
"informat": {
"@id": "informat",
"description": "input format",
"aliases": ["f"],
"required": False,
"default": "text",
"options": ["text", "json-ld"],
},
"language": {
"@id": "language",
"description": "language of the input",
"aliases": ["l"],
"required": False,
},
"prefix": {
"@id": "prefix",
"description": "prefix to use for new entities",
"aliases": ["p"],
"required": True,
"default": "",
},
"urischeme": {
"@id": "urischeme",
"description": "scheme for NIF URIs",
"aliases": ["u"],
"required": False,
"default": "RFC5147String",
"options": ["RFC5147String", ]
}
}
BUILTIN_PARAMS = {}
for d in [
NIF_PARAMS, CLI_PARAMS, WEB_PARAMS, PLUGINS_PARAMS, EVAL_PARAMS,
API_PARAMS
]:
for k, v in d.items():
BUILTIN_PARAMS[k] = v
def parse_params(indict, *specs):
if not specs:
specs = [NIF_PARAMS]
logger.debug("Parsing: {}\n{}".format(indict, specs))
outdict = indict.copy()
wrong_params = {}
for spec in specs:
for param, options in iteritems(spec):
for alias in options.get("aliases", []):
# Replace each alias with the correct name of the parameter
if alias in indict and alias != param:
outdict[param] = indict[alias]
del outdict[alias]
break
if param not in outdict:
if "default" in options:
# We assume the default is correct
outdict[param] = options["default"]
elif options.get("required", False):
wrong_params[param] = spec[param]
continue
if 'processor' in options:
outdict[param] = processors[options['processor']](outdict[param])
if "options" in options:
if options["options"] == boolean:
outdict[param] = str(outdict[param]).lower() in ['true', '1', '']
elif outdict[param] not in options["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',
parameters=outdict,
errors=wrong_params)
raise message
return outdict
def get_all_params(plugins, *specs):
'''Return a list of parameters for a given set of specifications and plugins.'''
dic = {}
for s in specs:
dic.update(s)
dic.update(get_extra_params(plugins))
return dic
def get_extra_params(plugins):
'''Get a list of possible parameters given a list of plugins'''
params = {}
extra_params = {}
for plugin in plugins:
this_params = plugin.get('extra_params', {})
for k, v in this_params.items():
if k not in extra_params:
extra_params[k] = {}
extra_params[k][plugin.name] = v
for k, v in extra_params.items(): # Resolve conflicts
if len(v) == 1: # Add the extra options that do not collide
params[k] = list(v.values())[0]
else:
required = False
aliases = None
options = None
default = None
nodefault = False # Set when defaults are not compatible
for plugin, opt in v.items():
params['{}.{}'.format(plugin, k)] = opt
required = required or opt.get('required', False)
newaliases = set(opt.get('aliases', []))
if aliases is None:
aliases = newaliases
else:
aliases = aliases & newaliases
if 'options' in opt:
newoptions = set(opt['options'])
options = newoptions if options is None else options & newoptions
if 'default' in opt:
newdefault = opt['default']
if newdefault:
if default is None and not nodefault:
default = newdefault
elif newdefault != default:
nodefault = True
default = None
# Check for incompatibilities
if options != set():
params[k] = {
'default': default,
'aliases': list(aliases),
'required': required,
'options': list(options)
}
return params
def parse_analyses(params, plugins):
'''
Parse the given parameters individually for each plugin, and get a list of the parameters that
belong to each of the plugins. Each item can then be used in the plugin.analyse_entries method.
'''
analysis_list = []
for i, plugin in enumerate(plugins):
if not plugin:
continue
this_params = filter_params(params, plugin, i)
parsed = parse_params(this_params, plugin.get('extra_params', {}))
analysis = plugin.activity(parsed)
analysis_list.append(analysis)
return analysis_list
def filter_params(params, plugin, ith=-1):
'''
Get the values within params that apply to a plugin.
More specific names override more general names, in this order:
<index_order>.parameter > <plugin.name>.parameter > parameter
Example:
>>> filter_params({'0.hello': True, 'hello': False}, Plugin(), 0)
{ '0.hello': True, 'hello': True}
'''
thisparams = {}
if ith >= 0:
ith = '{}.'.format(ith)
else:
ith = ""
for k, v in params.items():
if ith and k.startswith(str(ith)):
thisparams[k[len(ith):]] = v
elif k.startswith(plugin.name):
thisparams[k[len(plugin.name) + 1:]] = v
elif k not in thisparams:
thisparams[k] = v
return thisparams
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='prefix:') # 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